Salud, Ciencia y Tecnología - Serie de Conferencias

Stress Level in Education professionals from an educational institution in North Lima

Wed, 24 Apr 2024 00:00:00 +0000

Stress in nurses is one of the most common problems today that exert difficulties for quality care by them, therefore, the research objective is to determine the level of stress in education professionals working in a educational institution in Callao. It is a quantitative, descriptive and cross-sectional study, with a total population of 200 nurses who answered a questionnaire of sociodemographic data and the stress scale in nursing. In their results, 91 (n=45.5%) have low stress, 88 (n=44%) medium stress and 21 (n=10.5%) high stress. In conclusion, strategies should be sought to develop coping tools against stress within the working day.

Utilizing Machine Learning and Deep Learning for Predicting Crypto-currency Trends

Ahmed EL YOUSSEFI , Abdelaaziz HESSANE, Imad ZEROUAL, Yousef FARHAOUI — Mon, 11 Mar 2024 00:00:00 +0000

In the dynamic and often volatile world of the cryptocurrency market, accurately predicting future market movements is crucial for making informed trading decisions. While manual trading involves traders making subjective judgments based on market observations, the development of algorithmic trading systems, incorporating Machine Learning and Deep Learning, has introduced a more systematic approach to trading. These systems often employ technical analysis and machine learning techniques to analyze historical price data and generate trading signals. This study delves into a comparative analysis of two charting techniques, Heikin-Ashi and alternate candlestick patterns, in the context of forecasting single-step future price movements of cryptocurrency pairs. Utilizing a range of time windows (1 day, 12 hours, 8 hours, ..., 5 minutes) and various regression algorithms (Huber regressor, k-nearest neighbors regressor, Light Gradient Boosting Machine, linear regression, and random forest regressor), the study evaluates the effectiveness of each technique in forecasting future price movements. The primary outcomes of the research indicate that the application of ensemble learning methods to the alternate candlestick patterns consistently surpasses the performance of Heikin-Ashi candlesticks across all examined time windows. This suggests that alternate candlestick patterns provide more reliable information for predicting short-term price movements. Additionally, the study highlights the varying behavior of Heikin-Ashi candlesticks over different time windows

Evaluation and Management of Diabetic Neuropathy from the Perspective of People with Diabetes

K.Babu, M.S.Roobini, S.Prabhakaran, S.Sadagopan, N.Kanimozhi — Thu, 07 Mar 2024 00:00:00 +0000

Diabetic foot ulcers (DFU) and infections are the most common complications of diabetic foot disease. Mortality and financial burdens for both patients and society on the whole are caused by the prevalence of complications. Peripheral neuropathy, peripheral arterial disease, and immune response dysfunction are just a few of the main contributing factors that must be understood in order to effectively treat the condition. In order to treat diabetic foot disease, you must first get a comprehensive physical examination and a detailed history of your condition. Diabetic neuropathy and peripheral vascular disease, as well as any evidence of diabetic foot ulcers or infection, should be examined during this procedure. Patients with diabetes mellitus were studied to see if there was a link between cognitive impairment and the condition of their feet and whether or not they followed their doctor's recommendations for glycemic control. Using a random sample of diabetes patients, researchers conducted a prospective study to see how many people had the condition. The Mini-Mental State Valuation, the Trail Making Judgments, and the Michigan Screening Instrument were used to assess cognitive abilities. In the one-month follow-up, glycated hemoglobin (HB1Ac >7%) was linked to the MMSE and medication adherence, but no link was seen between cognitive function and neuropathy. According to the results of a ROC curve investigation, HB1Ac and the MNSI score both significantly (p< 0.05) mitigate towards eventual adherence to medicine for foot problems. For the purpose of determining if DFU was associated with cognitive impairment, the Chi square valuation was used in the statistical examination. As a determinant of MMSE and MoCA scores, the researchers used linear regression to come to their conclusion. Diabetic foot issues should be managed with good blood sugar control and less acute neuropathy, and this does not seem to be linked to cognitive dysfunction. More study is required in order to personalize treatments for diseases of the central and peripheral nervous systems appropriately. Cognitive dysfunction should be taken into account by doctors and podiatrists while treating diabetic foot problems

Sentence level Classification through machine learning with effective feature extraction using deep learning

Savitha D, Sudha L — Wed, 17 Apr 2024 00:00:00 +0000

Social networking website usage has increased dramatically during the past few years. Users can read other users' views, which are categorized into several sentiment classes on this medium with an array of data. These opinions are becoming more and more important while making decisions. To address the above-mentioned issues and improve the sentence-level classification's classification rate, this work introduces a new extensive pinball loss function based twin support vector machine with Deep Learning the (EPLF-TSVM-DL) to identify the polarity (negative and positive) of sentiment sentences. There are four primary components of this technique: The first portion consists of pre-processing the data to minimize noise and improve quality; the second part utilizes word embedding techniques to transform textual data into numerical data. The third part is the CNN for an efficient automatic method of extracting the features-based feature extraction and final is EPLF-TSVM-DL is used for sentence level classification that forms two classes such as Negative and Positive. The findings demonstrated that the EPLF-TSVM-DL outperforms the other classifiers with respect to of time consumption, convergence, complexity, and stability as well as true negative, true positive, error rate, false positive, precision, false negative, and classification rate.

Analysis of poverty as a factor in the dropout rate of university students in Mexico City from 2000 to 2022

Mon, 06 May 2024 00:00:00 +0000

The analysis of the correlation between poverty and student dropout has been a phenomenon of deep interest that must be studied, a problem present in a dynamic and diverse region such as Mexico City. This research covers the last two decades, from 2000 to 2022, taking into account the factors that influence the educational continuity of university students in an environment marked by socioeconomic variability. In this analysis, the complexity of poverty is evident as a determining factor in student dropout in the university context of Mexico City; using indicators developed by the National Council for the Evaluation of Social Development Policy (CONEVAL) and the National Council of Science and Technology (CONACYT); as well as data collected through censuses implemented by the National Institute of Statistics and Geography (INEGI). Seeking to effectively explain the correlation between student dropouts and poverty.

Competency-based Curriculum: A New Approach to Curricular Change

Mon, 20 May 2024 00:00:00 +0000

After the pandemic, education in Ecuador needed to align the curriculum with 21st-century skills and technological advances that occur in a global world. This adjustment must ensure that students acquire not only theoretical knowledge but also practical skills and essential competencies to thrive in a digitalized and interconnected world. The aim of this article is to justify why a competency-based curricular change is necessary, adopting a new educational paradigm. This article is based on theoretical research using the document review technique. The findings suggest a change to a new curricular structure that overcomes the existing gaps between academic education and the competencies required in the current labor market, promoting an education that integrates practical skills with advanced theory, preparing students to face the challenges of a technologically advanced and competitive work environment. The need to review and update the national curriculum is emphasized to foster an education that is truly relevant and applicable in the future professional context.

The Influence of Calcined Alumina Additives on the Mechanical Properties and Chloride-Induced Corrosion of Blended Concrete

Nora AL-Anssari, Abbas AL-Ameeri — Tue, 28 May 2024 00:00:00 +0000

The development and use of blended concrete systems have been growing rapidly in the construction industry, mainly due to cost savings, energy savings, and sustainability. This paper represents the influence of Calcined Alumina (AC) on the strength and chloride-induced corrosion of concrete. AC, at various contents, was appropriately added as a partial replacement for ordinary Portland cement (OPC) in blended mixtures (3.5 and 7% by mass of OPC). To find out its impact on the fresh properties (slump flow), hardened properties (compressive and splitting strength), and durability properties (water absorption at, rapid chloride migration coefficient, chloride penetration resistance, and corrosion resistance) depending on curing ages. Moreover, it investigates the effect of crack width on chloride penetration and corrosion rate. The results reveal that the addition of AC has a positive impact on concrete. Whereas obtained a decrease in the workability of concrete and an increase in the water demand. On the other hand, a significant increase in the compressive strength, tensile strength, and durability properties of concrete was recorded. Also, the replacement of cement with 7% AC achieved the highest value of compressive strength (63.67 MPa) in 90 days. Also, improvements in chloride penetration resistance and corrosion rate. The presence of Al₂O₃ reduces the ingress of chloride ions into concrete considerably, leading to the conclusion that the decrease in crack width is due to a decrease in corrosion steel products and the chloride penetration concentration and depth.

Efficiency of Steel Fibers in Improving the Performance of Concrete Beams without Shear Reinforcement

Huda S. Merdas, Muhaned A. Shallal — Mon, 03 Jun 2024 00:00:00 +0000

E-VTOL Aircraft Assembling and Programming Using the Mission Planner Program

Zahraa Fadhil Ajaj, Ahmed Hameed Reja, Ahmed Adnan Shandookh — Sat, 08 Jun 2024 00:00:00 +0000

This study presents the design and programming of a modern new class of radio-controlled electric vertical takeoff and landing (E-VTOL) aircraft using lightweight polylactic acid (LW-PLA). Utilizing the LW-PLA cork foam material is crucial to lowering the aircraft's total weight and improving its mechanical characteristics at the same time. The type of LW-PLA utilized in this study was specific, and its fabrication process was made possible by a Creality Cr 10s pro-3D printer. In this study, a lightweight polylactic acid was used to demonstrate the design of an electric vertical takeoff and landing (E-VTOL) aircraft (LW-PLA). It is essential to use the LW-PLA cork foam material to reduce the overall weight of the airplane and enhance its mechanical properties simultaneously. The particular kind of LW-PLA used in this model was manufactured using a Creality Cr 10s pro-3D printer. Solid Work version 2021 was utilized in the development of the mathematical model. Since radio-controlled aircraft capable of vertical takeoff and landing can carry out both tasks, the goal of this study is to find the best way to utilize the features that both airplanes and drones have in common. Consequently, the suggested model represents a sophisticated enhancement of the aerodynamic characteristics of the many types of radio control aircraft that are capable of performing vertical takeoffs and landings.

Effect of Friction Stir Processing Parameters on Microstructure and Mechanical Properties of Aluminum Alloy AA6061-T6: Experimental and Statistical Study

Khaldoon K. Jlood, Muna K. Abbass , Mahdi M. Hanoon — Tue, 11 Jun 2024 00:00:00 +0000

The current study investigates the effects of friction stir processing (FSP) parameters on the mechanical and microstructural characteristics of the alloy AA6061-T6. The FSP's big-area stir zone is where the fine-equiaxed grains are created, and it was found that the size of the grain of every pass is homogenous there. The design of experiment (DOE) method has been used to identify the key variables affecting the final tensile strength. FSP was accomplished using threaded cylindrical pin profiles with three varying rotational speeds (930, 1100, and 1460 rpm) and various transverse speeds (23, 50, and 79), and the tilt angle of the tool was also set at 2°. The optimum FSP parameters were two passes at 1460 rpm and 79 mm/min with these values. It was found that the stir zone's center has a greater microhardness value of 235 kg/mm2 at three passes and that this value decreased toward the thermomechanically affected zone (TMAZ), HAZ, and base metal (107 kg/mm2). The result showed that the FSPed sample has a higher tensile strength at two passes than at one or three passes. Also, it was obtained from the ANOVA analysis results that travel speed is the most effective factor, giving 51.46% of the contribution feature pursued by No. of Pass (22.56%), followed by rotational speed (19.49%).

Pressure and its impact on job satisfaction and organizational performance

Yang Xia, Zheng Ying, Mudiarasan Kuppusamy — Tue, 11 Jun 2024 00:00:00 +0000

This paper explores the complex idea of work pressure among Chinese hospital administrators and how it affects job happiness and overall effectiveness of the organisation. Hospital directors confront a wide range of intricate issues within the framework of China's distinct healthcare system because of their twin responsibilities as administrative and medical leaders. The dimensions of role pressure are examined in this study, which include role gap, role overload, where the workload is excessive, role ambiguity, and the role of conflict. Understanding these aspects is essential to appreciating the effectiveness and well-being of hospital administration. Given that job happiness is a major factor in both employee performance and retention, these pressures have a significant effect on job satisfaction. The study also looks at the wider effects of pressure on organisational performance, which is crucial for the long-term viability and efficiency of healthcare facilities. Through an examination of these facets, the paper illuminates the noteworthy, albeit frequently disregarded, psychological and operational obstacles encountered by hospital administrators in China. This, in turn, offers valuable perspectives on the possibility of policy and administrative changes targeted at augmenting job contentment and organisational results.

Evaluating the quality of website design aspects and its effect on functional perspectives using Smart-PLS in Web-based apparel shopping environment

P. Krithika, S. Vasantha — Thu, 13 Jun 2024 00:00:00 +0000

Purpose: The necessity for e-commerce business to adopt customer-centric tactics in addition to retail strategies for the growth of e-commerce business is required. The primary objective of this study is to develop an effective measurement scale for assessing the quality of website design and its effect on functional benefits in web-based apparel shopping.
Design/ Methodology: The comprehensive framework for evaluating the quality of website design was subsequently accompanied by the collection of data through a web-based survey. The structured questionnaire had a total of 500 consumers of e-commerce websites. Using structural equation modelling (SEM) within the Smart-PLS software to investigate the research's hypotheses.
Findings: The data analysis findings suggest the influence of these website design elements on the performance of e-commerce companies. With the analysis of the Smart-PLS there is substantial positive impact of Website aesthetics (WA-EC), Website personalization (WP-EC), and Price Offerings (PO-EC) on Website design quality (WDQ-EC). Additionally, it is worth noting that the quality of website design has a positive effect on the functional benefits experienced by consumers. More studies can be conducted to explore the realm of mobile commerce and its associated factors pertaining to mobile design in future.
Practical Implications: The results of this study provide valuable insights for web-based service managers seeking to enhance their understanding of the factors influencing website design quality and the relative importance of each dimension in delivering functional benefits especially in apparel sector. By leveraging these findings, managers can effectively enhance the website design quality of e-commerce websites, aligning it with current market developments, and ultimately contribute to the retention of consumer values.
Originality/Value: An empirical model which shows the determinants of WDQ-EC. To the best of the authors’ knowledge, a WDQ-EC framework is modelled considering a specific combination of exogenous variables especially in apparel websites, which is not done by past researchers.

Assessing the effectiveness of social marketing strategies in regulating exploitative buying behaviour in bangalore's urban sector

A. Suriya Kumari, S. Mani, A. Arumugam — Thu, 13 Jun 2024 00:00:00 +0000

In the urban landscape of Bangalore, the rapid proliferation of consumerism has led to a complex web of buying behaviors, often driven by exploitative marketing tactics. This study aims to evaluate the effectiveness of social marketing strategies in mitigating such exploitation and fostering more responsible consumer behavior. The research employs a mixed-methods approach, combining quantitative analysis of consumer trends with qualitative insights from marketing experts and urban consumers. Through surveys and interviews conducted across diverse demographic segments in Bangalore, the study seeks to uncover the prevalent patterns of exploitative buying behavior and the underlying factors influencing consumer decisions. Central to the investigation are the social marketing strategies implemented by various stakeholders, including governmental bodies, non-profit organizations, and corporate entities. These strategies encompass a range of interventions, such as public awareness campaigns, regulatory measures, and corporate social responsibility initiatives. The study evaluates the impact of these strategies on consumer attitudes, awareness levels, and actual purchasing behavior. Findings indicate a widespread prevalence of exploitative buying behavior among Bangalore's urban populace, fueled by factors such as peer pressure, advertising influence, and lack of information regarding ethical consumption choices. However, the research also highlights the positive influence of social marketing initiatives in curbing such tendencies. Notably, campaigns emphasizing ethical consumption, sustainable practices, and community welfare have shown promise in reshaping consumer attitudes and preferences. Furthermore, regulatory measures aimed at restricting deceptive advertising and promoting transparency in business practices have contributed to fostering a more ethical marketplace. Overall, this study underscores the critical role of social marketing in regulating exploitative buying behavior in Bangalore's urban sector. By leveraging insights from this research, policymakers, businesses, and civil society organizations can devise more targeted and impactful strategies to promote responsible consumerism and create a more equitable and sustainable marketplace.

Inverted virtual classroom in the learning paradigm

Elias Mejia-Mejia, Francis Díaz-Flores — Sat, 11 Nov 2023 00:00:00 +0000

This paper sustains the thesis that the central problem of pedagogy, and of education in general, is the student's learning and not, as is commonly asserted, the professor's teaching or, that they are integrated processes: teaching-learning. The 2020 pandemic has forced to conduct graduate studies virtually, which has shown that, in the asynchronous phase of the process, students perform learning, so we have formulated the following hypothesis: The groups of graduate students who studied virtually, improve their learning levels compared to groups of graduate students who studied face-to-face. To test this hypothesis we have worked with two independent samples. The first one constituted by 300 graduate students who took face-to-face studies in the academic semesters 2019-I and 2019-II, whose final average was 16,3033, and the second one, constituted by 300 graduate students who took virtual studies in the academic semesters 2020-I and 2020-II and whose final average was 17,7533. The Student's t-test shows that the group of students who took virtual studies significantly improved their learning levels, since the P-value found is 0,000, less than α chosen: 0,05, a result that leads to rejecting the null hypothesis and maintaining the working hypothesis in force.

Proposal for the implementation of the DMAIC methodology as a tool to improve productivity in the manufacturing area of an organic chocolate company – 2022

Mon, 01 Jan 2024 00:00:00 +0000

Productivity is an indicator that allows calculating the capacity of organizations to use their resources to generate goods or services and, at the same time, to diagnose the state of the company generated by different internal and external factors. For this reason, manufacturing companies have to improve the productivity of their processes to obtain their final product through management tools and thus remain in the market. For this reason, this study proposes to determine how the application of the DMAIC methodology intervenes in the improvement of productivity in the manufacturing process of a company dedicated to the manufacture of organic chocolates, year 2022.the research was applied, it was carried out under a pre-experimental design, with a descriptive-explanatory level having as population the production of organic chocolates during 26 days and a sample of 13 days that corresponds to the period after applying the improvements. This sample was obtained by the data collection method and for its processing the Excel program was used. As a result of this study, it was obtained that with the implementation of the DMAIC methodology, productivity had an average increase of 1,75 %, going from 92,32 % to 94,07 % after applying the improvements. Regarding the elements of productivity, an average increase of 0,89 % in efficiency and 0,93 % in effectiveness was obtained. It is concluded that the DMAIC methodology as an improvement tool significantly intervenes in the increase of productivity in the processes and that its application should be of knowledge for other organizations in the manufacturing sector

Magnetic resonance imaging assessment of the patterns and distributions of spinal disc degeneration in patients residing in Lagos State

Ndianekwute Nkiruka Anne, Joseph C. Eze, Michael Promise Ogolodom — Sun, 31 Mar 2024 00:00:00 +0000

Background: Degenerative disc disease is a condition in which intervertebral discs losses its structure thereby resulting in loss of cushioning, fragmentation and herniation most times related to ageing. Structural defects and failure are common causes of degenerative disc disease. In some cases, the spine loses flexibility and bone spurs may pinch a nerve root, causing pain or weakness. The aim of this study was to assess the prevalence and distribution of disc degeneration over the spines in patients residing in Lagos state using magnetic resonance imaging. Materials and methods: This was a cross-sectional prospective study conducted among 163 patients presented for spinal magnetic resonance imaging (MRI) scan due to disc degeneration in some selected radio-diagnostic centres in Lagos State, Nigeria. The spine structural appearance, intervertebral disc structural appearance, signal intensity, pathologies, gender, age, height, weight and BMI of the patients will be recorded. Both descriptive (mean, percentage, charts and frequency) and inferential statistics (Chi-square) statistics were used for statistical analysis with p-value set at 0.05. Results: Out of 163, 96(58.9%) were female while males were 67(41.1%). The age of the study population ranges from 20 years to 90 years with a mean age of 57.17 ± 12.35. Grade V was highest 64 (39.3%) followed by 32 (25.8%) grade IV and least 10 (6.1%) were grade II. The study found the most common affected on L4/L5 disc with 35 (21.5%) adults demonstrating disc degeneration, while 17 (10.4%) adults demonstrated no disc degeneration. There is no statistically significant association between gender and pattern of disc degeneration (χ2 = 5.943, p =0.203). Conclusion: The majority of the patients had the grade V patterns of degenerated discs based Pffirman grading system. The most affected disc was the L4/L5 disc followed by the L3/L4 disc. There were negative correlations but not statistically significant between weight and BMI respectively and patterns of the disc degeneration diseases. There exist positive correlations but not statistically significant between age and height respectively, and patterns of the disc degeneration diseases. There is no statistically significant association between gender and pattern of disc degeneration.

Sexual dimorphism of the maxillary sinuses through three-dimensional morphometric analysis in a high Andean population of Peru

Sat, 15 Jun 2024 00:00:00 +0000

Introduction: Sexual dimorphism is based on the differences and characteristics characteristic of both sexes in the same species.
Objective: The purpose of this research was to determine the sexual dimorphism of the maxillary breasts of patients between 18 and 60 years of age from a high Andean population of Peru that were analyzed with Cone Beam Tomography.
Methods: The following research had a descriptive, observational, cross-sectional and retrospective scope; the sample consisted of 190 Cone Beam tomographies of patients between 18 and 60 years of age of both sexes, where 380 maxillary sinuses were analyzed, in which the sexual dimorphism of the maxillary sinuses in height, width, length and volume were determined.
Results: Sexual dimorphism is greater in the male gender with respect to the female gender, volume was the best discriminating parameter of the right maxillary sinus that could be used to study sexual dimorphism with a total accuracy of 82.6%, 88.1% respectively, followed by width with an accuracy of 74.2% on both sides, with a lower percentage was found to height with an accuracy of 69.5% and 72.1% respectively, length with an accuracy of 67.9%, 68.4% respectively.
Conclusion: It was determined that sexual dimorphism shows higher values in the male sex as opposed to the female sex.

Crop recommendation system and pest classification using weighted support vector machine on climate data

S. Kiruthika, Dr.D.Karthika — Sun, 12 May 2024 00:00:00 +0000

Introduction: The primary cause of the significant decline in crop productivity is farmers' poor crop selection. A number of pests, including weeds, insects, plant diseases, and the poisonous nature of the most current remedies, offer challenges to the current approach. Therefore, for the most effective and precise classification and recommendations, these factors should be considered together.
Methods: Levy flight Grey Wolf Optimization (LGWO) and the WSVM (Weight-Support Vector Machine) method are recommended in this research for the intention of upgrading the efficiency of the system as well as resolving the above-mentioned issues. A CRS (Crop Recommendation System) utilizing the LGWO-WSVM algorithm is to be developed in order to increase crop productivity. This study's primary stages include crop suggestion, FS (Feature selection), and pre-processing. The KNN (K-Nearest Neighbour) technique is utilized for the pre-processing of the climatic dataset in order to accommodate incorrect values and missing variables.
Results: The best fitness values are utilized to identify more pertinent weather features. These chosen qualities are then applied to the categorization phase. In order to create a system which integrates the predictions of the LGWO-WSVM model to recommend an appropriate crop depends on the kinds of the particular soil and features having greater accuracy.
Conclusion: In order to get the best recommendation outcomes, it is also utilized to categorize the pest traits. The test outcomes indicate that the recommended LGWO-WSVM strategy overtakes the current methods by accuracy, precision, recall, and execution time.

Risk of musculoskeletal disorders due to forced postures in a metalworking company

Fri, 31 May 2024 00:00:00 +0000

Introduction: Musculoskeletal disorders (MSDs) range from acute injuries to disabling diseases, generating persistent pain, loss of functional capacity and even sick leave. Its high prevalence is associated with physical and postural factors, with forced postures, manual manipulation of loads and repetitive movements being the main triggers of these disorders. Due to the physical and postural demands, pain is especially prevalent in the back and extremities.
Methods: The study was correlational and cross-sectional in design, with a quantitative approach. The sample consisted of 12 workers from an automotive company, selected by non-probabilistic sampling. Data were collected through a questionnaire and the application of the OWAS Method to evaluate work postures. The observation of postures was carried out at four intervals during the work day. The relative frequencies were analyzed and the risks of the postures were classified.
Results: Various musculoskeletal injuries were recorded, mainly contractures and tendonitis, with prevalent discomfort in the back, arms and legs. Most workers self-medicated to relieve pain. 37 work positions were identified, with a notable proportion of risk level 1 (65%), followed by levels 2 and 3. A positive correlation (p=0.029) with a strength of 35% was found between the risk level and the musculoskeletal disorders. No correlation was found between the level of risk and the duration of the injury. Conclusions: The presence of the musculoskeletal disorder is related to the level of risk, so intervening in positions that suggest more risk would reduce the prevalence of the musculoskeletal disorder.

Effect of Compaction Pressure on a Stabilized Rammed Earth Behavior

Ahmed K. Ftaikhan, Muayad A. Al-Sharrad — Wed, 05 Jun 2024 00:00:00 +0000

The current work addresses the effect of compaction pressure on durability against water ingress, compression behavior, and thermal conductivity of rammed earth specimens stabilized with fly ash geopolymer. These properties were investigated for specimens made from 25% fly ash and proportions of sand, silt, and clay. The fly ash was activated with 2M sodium hydroxide solution, and the specimens were compacted statically to 5, 10, or 25 MPa. Reference mixtures containing the raw material (i.e., sand, silt, and clay) were also prepared for comparison. The results of the durability test on stabilized specimens indicated excellent resistance to deterioration caused by water ingress, unlike those made from raw materials which almost failed completely. The materials elastic stiffness and compressive strength were both improved substantially with the inclusion of fly ash geopolymer and with compaction pressure increase. The inclusion of geopolymer resulted in 6 to 10 folds improvement in the compressive strength. For instance, the stabilized specimens provided a compressive strength of 2.7 MPa when compacted to 5 MPa, compared to only 0.3 MPa provided by the unstabilized specimen. Likewise, an increase in compaction pressure from 5 to 25 MPa, resulted in an increase of 56% in the compressive strength. The thermal conductivity of the stabilized material was in the order of 0.4-0.5 W/ (m.K) and was considered relatively low comparing to that of other competitors such as normal concrete and even lower than that of the raw material by about 18%. The thermal conductivity increased by about 20% with compaction pressure increase from 5 to 25 MPa. It seems that the increase in the stiffness and strength with compaction pressure increase can compensate the small undesirable increase in the thermal conductivity

The Effect of Various Contents of Nano- Lime on The Properties of Self-Compacting Geopolymer Concrete Containing Micro-Steel Fibers

Eman Hasan Raheem, Haider M.Owaid — Wed, 05 Jun 2024 00:00:00 +0000

The high carbon footprint of cement manufacture is the main disadvantage of Portland cement concrete, leading to contamination of the environment. Self-compacting geopolymer concrete (SCGPC) can effectively replace plain cement concrete in the construction sector for a sustainable environment. The need for high-performance concretes and green construction is rising day by day. This study has endeavored to investigate the effect of incorporating nano-lime (NL) particles at various contents of (0%,1%,2%, and 3%) by mass of calcined kaolin clay (CKC) on characteristics of fresh (flowability and passing ability), mechanical (the strengths of compression and flexural), and durability (porosity, and water absorption) for SCGPC reinforced with micro steel fibers based on CKC to enhance its performance. Three SCGPC mixes were made utilizing NL at 1%, 2%, and 3% as a partial replacement for CKC; however, an additional mix was made with no NL. The mixes had a fixed total binder quantity (484 kg/m3) and a constant quantity of micro-steel fibers 0.5% by volume. The findings showed that adding NL had a negative effect on fresh characteristics, though the mixes still satisfied the required criteria. However, With the addition of NL, especially at 2% content, the mechanical and durability characteristics of SCGPC are considerably enhanced. Applying this amount of NL results in a 1.9 % reduction in the slump flow; however, it increases compressive strength by 20.95 %, 27.27%, and 11.91% for 3,7 and 28 days, respectively, and flexural strength by 17.41 % for 28 days. It also reduced the porosity of the SCGPC specimens and significantly improved the specimens' resistance to water absorption. Based on the findings of present investigation, the recommended content of NL to be applied in SCGPC for the best performance is 2%.

Evaluating and Analyzing The Transposition Factor In Al- Musayyib Technical College to Setting The Optimal Tilt Angle for Fixed And Seasonal Orientation

Bushra Majed Hameed Jaseem, Muhammed Salah Sadiq Al-Kafaji — Tue, 11 Jun 2024 00:00:00 +0000

The transposition factor (TF) enhances the photovoltaic (PV) systems' capacity to generate output power. The observed phenomenon denotes the alteration in power production resulting from the inclination of the collector plane. The objective of this study is to assess and compare the effects of two different types of orientation, fixed titled plane and seasonal tilt adjustment, on the power output of a photovoltaic system located in the electrical engineering technologies department at Al- Musayyib Technical College (MTC) in Iraq. The specific coordinates of the location are latitude 32° 46′ 59.99″ N and longitude 44° 19′ 0.01 E . The simulation will be conducted using the Perez model in PVSYST software, focusing on a standalone system with a power capacity of 3000 Wp. The results that were displayed are dependent on the highest (TF), the optimal tilt angle for a fixed tilted plane is (28o), and for seasonal tilt adjustment is (12o in summer and 50o in winter),. In addition, the results showed that applying the seasonal tilt adjustment was preferable to using a fixed titled plane in this location to gain the maximum amount of system production power while maintaining a low cost.

Eliminating inrush current in transformers using a residual flux control algorithm

Hussein A. Taha, Ruaa Aboalhawa, Muhammad Al Badri — Tue, 11 Jun 2024 00:00:00 +0000

Transformers in general turned on by changing the state of the circuit breakers at several times. Usually, the circuit breakers are closed at various times to turn on the transformers. This process results in high inrush currents due to the asymmetric flux produced in the coil. In light of these facts, the purpose of this study is to provide a method for controlling the switching instant that take place during the inrush of a power transformer.
The general idea is to calculate the pre-existing magnetic fluxes remaining on the base legs in terms of the three phase voltages. Then, using these data and equations, the optimal operating time is calculated to ensure that the inrush currents are reduced, and adjustment parameters are determined within the controller to obtain the least time difference between the control signals. The system was completely simulated within the MATLAB environment, and the fluxes and currents were shown without and with the controller, the results showed that the method used reduced the effect of the inrush currents with time differences of the order of milliseconds.

Millennial consumer’s stance toward sustainable fashion apparel

Beeraka Chalapathi, G. Rajini — Tue, 11 Jun 2024 00:00:00 +0000

Sustainable fashion is the emerging fashion trend in Global fashion. In India, 34% of population is a potential millennial contributing to the Indian economy. The present study examines the relationship of quality consciousness, price consciousness, availability of apparel, benefits, and Environmental concern on post-purchase behaviour of sustainable apparel and millennial consumer satisfaction. The results of a quantitative study using the Hayes process, it reveals that brands need to create more awareness of sustainable apparel among the millennial consumer. Price and perceived benefits are major influencing factors among millennial consumers.

Silent sufferers: long-term impact on physical and mental health of child sexual abuse survivors

P. Padmapriya, M. Alagesan — Tue, 11 Jun 2024 00:00:00 +0000

Sexual harassment experienced in childhood has a devastating impact on the physical and mental health of the survivors. In India, 53 percent of children below 18 years face sexual abuse. In most cases, the survivors remain silent sufferers. This research paper examines the case of X, who belongs to a lower socio-economic family in southern India and has suffered 11 years of sexual abuse. Her case demonstrates how children are abused in their closest circle and how their family fails to protect them from the abuse. This research also addresses the danger of easy access to abortion drugs without proper medical supervision, which can lead to mortality. It also emphasizes the need for comprehensive support systems for CSA survivors that include medical, psychological, and social interventions.

Ocrelizumab and its role in the treatment of multiple sclerosis: A systematic review of the literature

María Lucía Campos, Marcelo Adrian Estrin — Thu, 06 Jun 2024 00:00:00 +0000

Introduction: Multiple Sclerosis is an autoimmune, chronic, progressive disease of the central nervous system that affects the myelin sheaths, producing a dysfunction in the nerve impulse, it is one of the main causes of neurological disability in young adults.
Unfortunately, there is no cure for this disease, but there are many treatments to mitigate the outbreaks and progression of the disease. One of the promising drugs is ocrelizumab, a humanized monoclonal antibody against the CD20 antigen of B cells that has recently been approved by the US (Food and Drug Administration) and European (European Medicines Agency) health agencies for the treatment of sclerosis. multiplex (MS) and is the first drug to be marketed for both relapsingremitting MS (RRMS) and primary progressive MS (PPMS). Material and methods: A bibliographic search will be carried out in the different scientific databases, in order to investigate the role of ocrelizumab in the treatment of Multiple Sclerosis. Conclusion: MS is a disease that so far has no cure; however, a wide range of treatments are available that must be chosen according to the patient and his need. Within the vast range of treatment arises monoclonal antibodies that are specialized glycoproteins that are part of the immune system, produced by B cells, with the ability to recognize specific molecules (antigens). They are among the most promising agents for the treatment of MS. The most Used is ocrelizumab.

Environmental risks at the Pucusana Artisanal Fishing Landing Site (Desembarcadero Pesquero Artesanal - DPA), 2005-2012 period

Wed, 24 Apr 2024 00:00:00 +0000

The present study carried out addresses the environmental risks in the DPA Pucusana, Lima –Peru; The study is analytical, retrospective and longitudinal, its objective was to evaluate the probability and consequence of the existing significant risks to define measures that control their effects in the environmental field during its operation, it focused on indicators of the natural environment and socioeconomic. The information collected was obtained at the landing stage and in entities related to its management (Pucusana Municipality, Pucusana Fishermen's Guild, General Directorate of Captaincies and Coast Guards, National Fisheries Development Fund, Ministry of Production), through surveys, interviews and visits over a period of six months. Data from water quality monitoring in the Pucusana bay, carried out by DIGESA and IMARPE, were considered. The determinations of environmental risks were made based on the Environmental Risk Assessment Guide. The landing stage had an average environmental risk level of 42.67%, which is classified as Moderate; being the levels of risk in the natural and socioeconomic environments of 48% and 37.33%, respectively. Based on these results, the DPA Pucusana warrants taking control measures.

Mexican social vulnerability as a sociological fact

Miguel Ángel Vite Pérez — Wed, 06 Mar 2024 00:00:00 +0000

The article aimed to construct a sociological interpretation about the relevance of the concept of social vulnerability, where social inequality, as a narrative, generally leads to highlighting the relevance of State institutions in the realization of citizen rights. But as a binary narrative, it forces us to include in the interpretation social behaviors organized by various beliefs derived from values, whose resonance is expressed in the mass media. In response to these arguments, it was decided to study the Mexican binary narrative in general to interpret some social behaviors recorded in the press

Design of a Classifier model for Heart Disease Prediction using normalized graph model

B. Karthiga, Sathya Selvaraj Sinnasamy, V.C. Bharathi, Azarudeen, Sherubha. P — Sat, 23 Mar 2024 00:00:00 +0000

Heart disease is an illness that influences enormous people worldwide. Particularly in cardiology, heart disease diagnosis and treatment need to happen quickly and precisely. Here, a machine learning-based (ML) approach is anticipated for diagnosing a cardiac disease that is both effective and accurate. The system was developed using standard feature selection algorithms for removing unnecessary and redundant features. Here, a novel normalized graph model (n-GM) is used for prediction. To address the issue of feature selection, this work considers the significant information feature selection approach. To improve classification accuracy and shorten the time it takes to process classifications, feature selection techniques are utilized. Furthermore, the hyper-parameters and learning techniques for model evaluation have been accomplished using cross-validation. The performance is evaluated with various metrics. The performance is evaluated on the features chosen via features representation. The outcomes demonstrate that the suggested n-GM gives 98% accuracy for modeling an intelligent system to detect heart disease using a classifier support vector machine

CCCerebral cryptococcosis regarding two clinical cases and bibliographic review

Elizabeth Gutierrez Garcia, Rommer Alex Ortega Martinez — Tue, 09 Apr 2024 00:00:00 +0000

Cryptococcosis is a life-threatening infection, the species complexes Cryptococcus neoformans and Cryptococcus gattii are yeasts with a polysaccharide capsule, metabolize urea and catecholamines; It is transmitted by inhalation of bird droppings, mainly pigeons, and is capable of causing outbreaks in both immunocompromised and immunocompetent hosts. In Latin America, cryptococcal meningitis is a health threat. The initial infection is localized to the lungs and spreads to other organs, such as the central nervous system, where it causes meningoencephalitis and rarely focal granulomatous lesions such as cryptococcomas. The diagnosis must be made early, with serological tests for the cryptococcal polysaccharide capsular antigen. Treatment is divided into induction, consolidation and maintenance. Below, two clinical cases are presented, the first case is a 68-year-old female with a history of tuberculosis 15 years ago; 10 days, with holocranial headache, nausea and vomiting; on physical examination with superficial stupor, nuchal rigidity; kerning sign (+); lumbar puncture with identification of cryptococcal meningitis, induction treatment with fluconazole was started. The second case, a 60-year-old male with a history of acute lymphoblastic leukemia with chemotherapy 1 month ago, suddenly presented with altered consciousness, a lumbar puncture was performed, which reported cryptococcal meningitis by PCR, induction treatment with fluconazole was started; Both patients were admitted to the Intensive Care Unit, however, they had an unfavorable outcome.

Influence of online digital communication in the Decision-making Process amongst Engineering Students

Sinosh P K, Nandhini M — Tue, 16 Apr 2024 00:00:00 +0000

The research project reflects the impact of internet marketing on engineering learners' decision-making in the Ernakulam District. The goal of the study is to understand how educational organisations use the internet and to determine which online marketing tools and tactics work best for connecting with learners in engineering. The impact of online digital communication on engineering students' decision-making procedure when selecting educational programmes and institutions is also reflected in the study. Information from the sample of engineering students in the study region will be gathered using a survey-based research approach. The purpose of this research is to ascertain the manner in which the target group's decision-making procedure is impacted by digitalization. The study is probably going to help elevate the status of online digital communication in the education sector and offer guidance and knowledge to colleges and marketers that want to reach students in the engineering field.

Trends and risk factors in musculoskeletal disorders among stomatologists

Tue, 30 Apr 2024 00:00:00 +0000

Introduction: Stomatologists face musculoskeletal disorders due to inadequate postures and unfavorable ergonomic conditions at work, with an increase in risk with work experience, underscoring the importance of prevention. Methods: A cross-sectional observational study was conducted on musculoskeletal disorders in stomatologists in Guanabacoa, Havana, with 48 participants. Data were collected by means of surveys and postural observations, respecting ethical principles and obtaining informed consent. Results and discussion: This study shows that stomatologists between 35 and 44 years old are the most affected by musculoskeletal disorders, with the majority having between 11 and 20 years of work experience. Women present more disorders than men, although there is no statistical association between gender and disorders. It is highlighted that inadequate postures during work, especially in the cervical area and shoulders, may contribute to these problems. In addition, technical problems in dental units may also play a role. It is essential to consider working postures and ergonomic conditions to prevent these disorders. Conclusion: A high frequency of risk factors was observed, being for the female sex and the EGI specialty the most common. A preference was found for seated work and the use of inadequate postures, which resulted in a greater number of affections in the cervical region and shoulders. In addition, a close relationship was established between inadequate postures and non-ergonomic dental units with the occurrence of musculoskeletal disorders.

Collaborative Work as a Tool for Strengthening Communication Skills in a Public School in Puerto Maldonado

Mon, 20 May 2024 00:00:00 +0000

The objective of the research was to determine the incidence of collaborative work in the achievement of communication skills in students of a public educational institution, Puerto Maldonado 2023. The study was carried out using a positivist paradigm, quantitative approach, applied type, quasi-experimental design, the population and school sample were made up of 99. The results Once the program was applied to the GE on communication skills, in the post test it was possible to show that they had a substantial improvement, reaching the high levels 54%, medium 46%, compared to the CG that they are still at low 42.9% and medium 55.1% levels, this demonstrates the significance of the stimulus. In conclusion, there is an incidence in the collaborative work program in the achievement of communication skills in students of a public educational institution.

The effects of various distributed generating types on the smart grid have been demonstrated using transient stability study and steady state voltage analysis

Ruaa aboalhawa, Hussein A. Taha, Muhammad Al-Badri — Sun, 02 Jun 2024 00:00:00 +0000

Renewable energy and smart grid technologies are crucial in the modern era due to climate change and the need for secure energy sources. To address concerns regarding energy security, efficiency and aging energy infrastructure, it is necessary to move away from centralized power generation and embrace decentralized distributed generation and smart grid technologies. This transformation will meet the increasing demand for electricity, improve the quality of service, and reduce pollution. However, there are technical challenges to overcome, such as maintaining system stability when incorporating distributed generation into the smart grid. This research focuses on evaluating the impact of distributed generation on the smart grid, especially the system stability after integrating distributed generation. System stability was evaluated and confirmed using Dig-SILENT Power Factory V 13.2 software, which simulates connection issues and failures.

Modeling of Automobile Assembly Line Performance Using ARENA Simulation Software

Ali J. Mohammed, Amjad B. Abdulghafour, Abass M.Jabber AL- Enzi — Sun, 02 Jun 2024 00:00:00 +0000

Due to the intense competition in today's business environment, companies must continuously analyze and enhance their existing manufacturing systems. Discrete event simulation, which is especially helpful for simulating queuing systems, involves describing the system as it evolves. The building and study of a simulation model of an existing production line are the main topics of this paper. The findings demonstrate that the current system's throughput is low due to bottlenecks, extended processing times at workstations, and inefficient resource utilization, all contribute to productivity losses in automotive assembly lines. This paper aims to evaluate the efficiency of the production line performance of automobile assembly lines using Arena modeling and simulation. Data provided by the company's management is utilized to calculate the processing time and standard time for each step in the production line. Additional information is gathered through direct observation of the assembly line. A car assembly manufacturing line was selected as a case study, and Arena 16.0 software was employed for basic modeling and analysis to achieve these objectives.

Environmental Impact of Petroleum Refinery Effluent on Groundwater Pollution: A Case Study of Maysan Refinery, Iraq

Abdul Razzaq M. Khalefah, Isam I. Omran, Maki J. M. Al-Waily — Sat, 08 Jun 2024 00:00:00 +0000

The study aimed to investigate the environmental impact of the refinery's wastewater on groundwater within the refinery and the surrounding area. Six different testing sites were chosen to measure the concentrations of groundwater pollutants according to their distance from the untreated oil effluent discharge lagoon. The study period lasted for six months, as the testing work began in April and ended in September 2023. The results showed a clear effect of untreated petroleum effluent on the properties of groundwater, as the concentrations of petroleum effluent (oil and grease, TOC, phenol) and heavy metals (Ni, Cd, Pb) exceeded the permissible limits, as well as related parameters (TDS, EC, Cl, SO4) according to WHO specifications. As for the concentrations of the parameters (BOD, COD), there was no clear effect of the effluent on them, and on the contrary, their values began to increase at the testing sites far from the refinery. The groundwater was greatly affected by a distance of 5 km from the effluent collection lagoon (testing sites:GW1, GW2, GW3, and GW4), and it was not suitable for human use until after it was treated. As for the remaining of the distance (testing sites:GW5, GW6) to the nearest residential area (from 5 km to 9 km), the groundwater was limited to use for irrigation according to WQI guidelines. The study recommends that, in order to reduce pollution of refinery effluent, the responsible administration should use regular wastewater networks, construct a treatment plant for this effluent, and discharge the treated effluent to the nearest water source

WEDM Process Parameters Analysis and Optimization: A Review

Huda Anwar, Saad K. Shather, Waqass S. Khudhir — Tue, 11 Jun 2024 00:00:00 +0000

Wire Electrical Discharge Machining (WEDM) represents a non-conventional machining approach that harnesses thermal electrical energy for the fabrication of intricate structures. WEDM machines excel in achieving precise dimensions and a polished surface finish. It finds frequent application in the machining of robust materials that pose challenges for conventional manufacturing methods due to issues like vibrations. Within this machining method, numerous process parameters and performance indicators come into play, prompting various studies and investigations into its intricacies. This paper presents a comprehensive overview of current research trends in WEDM, particularly focusing on parameters for enhancing performance, such as surface roughness (SR), material removal rate (MRR), and Kerf width (KW). Notably, several process parameters, including pulse-off-time (TOFF), servo voltage (SV), pulse-on-time (TON), peak current (I), and wire tension (WT), contribute to the WEDM process. Additionally, various optimization techniques like the Taguchi method, Grey Relation Analysis (GRA), and analysis of variance (ANOVA) are employed across diverse materials, encompassing alloys, superalloys, and composites. The findings of this study suggest the importance of considering various process parameters, such as pulse-off-time (TOFF), servo voltage (SV), pulse-on-time (TON), peak current (I), and wire tension (WT), in the WEDM process. Moreover, the application of optimization techniques like the Taguchi method, Grey Relation Analysis (GRA), and analysis of variance (ANOVA) is recommended. These recommendations aim to improve the understanding and optimization of WEDM processes, especially when applied to diverse materials, including alloys, superalloys, and composites.

Wireless digital smart energy meter based on gsm/sms technology

Tue, 11 Jun 2024 00:00:00 +0000

The traditional energy meter and manual billing system are considered complex and have many problems, including inaccuracy, ease of manipulation, and failure to pay bills on time, leading to financial losses and waste of energy and time. Additionally, it requires a large number of human operators. This paper proposes the design and implementation of a wireless single-phase smart digital energy meter based on GSM/SMS communication technology. This proposed system consists of two main parts: the consumer unit, which represents the smart meter (SM), and the control unit, which represents the server unit (SU), in addition to the (RFID) recharge system. This meter relies on GSM mobile network technology, using the SMS service between the consumer meter, control center, and the consumer's personal mobile phone to inform them about energy consumption and balance. Energy consumption information and meter readings are automatically sent wirelessly to the control center.

Implication of industrial exposure training (iet) in career outlook of hotel management students

D. Gunaseelan, Seby P Mathews, G. Nandhika — Wed, 12 Jun 2024 00:00:00 +0000

For a student of hotel management, industrial exposure training is their first real experience. During his or her IET, he or she will learn about the industry's current trends and job requirements. It also enables students to choose a department in which they could potentially find employment. Only via internships can theory be turned into practical knowledge; therefore, IET is a crucial consideration for all hotel management students.
The main concept of this study to identify the impact of industrial exposure training in the generation of career outlook of hotel management students. This research is useful for students, colleges and hotels to understand the fruitfulness of IET in hotel management students. From the results it is very evident that IET plays a major role in the generation of career outlook of the students and through their training program they acquired required work behaviour, operational skills, interpersonal skills, and the awareness regarding the current trends in industry and most of the respondents agreed that they got clear vision regarding the industry. Finally, research concluded that IET plays vital role in developing industry related attributes in students.

Effectiveness of hybrid workplace and its sustainable impact of determinants of organizational commitment among it companies

B. Vidya Sri, S. Vasantha — Thu, 13 Jun 2024 00:00:00 +0000

Organizational structures have shifted, and new methods of operation have been brought to light, by the recent health crisis. Although many businesses have already started working remotely again, things will not be going back to how they were before the crisis. This is even though remote work seemed to be a vital tool for reducing contamination risks in the workplace. Hybrid work structures, where employees work remotely and in person, will become increasingly common across various IT sectors. Hence, the present study examine the effectiveness of the Hybrid workplace on the organizational commitment in the selected IT companies. The methodology applied here is a stratified sampling method for collecting data from employees working in IT companies around 210 employees participated in the survey. Two factors have been observed for the study one is the effectiveness of the hybrid workplace and the second one is determinants of organizational commitment. The SEM model has been applied to examine the significant impact of is effectiveness of the hybrid workplace on determinants of organizational commitment. Results show there is a significant impact of the effectiveness of the hybrid workplace on determinants of organizational commitment. Thus, it is suggested that for better organizational commitment among employees of IT companies, organizations should develop and propagate a hybrid working model.

Advancements in Image Enhancement and Attention based EfficientDet Optimization Classifier for Precise Osteosarcoma Lung Nodule Detection

Nandhini. A., Sengaliappan M. — Fri, 21 Jun 2024 00:00:00 +0000

Introduction: Osteosarcoma is a malignant bone tumor that frequently spreads to the lungs, hence therapy effectiveness depends on early identification. However, noise and subtle characteristics still pose a challenge for reliable Lung Nodules Detection (LND) in medical pictures. In earlier work, SSD-VGG16 was implemented to provide a bounding box with an accuracy score that represented a single osteosarcoma nodule. Increasing model complexity is sometimes necessary to achieve improved accuracy with current approaches, which might worsen their computing inefficiencies.
Methods: For accurate osteosarcoma lung nodule identification, this study offers the hybrid Dynamic Virtual Bats Algorithm with Attention based Efficient Object identification (A- EfficientDet). In order to improve the quality and informativeness of clinical pictures, this study suggests including Chebyshev filtering into the pre-processing pipeline. It focuses on CT scans for the purpose of detecting lung nodules associated with osteosarcoma. Additionally, provide the optimized A-EfficientDet model, a hybrid EfficientDet model improved using the DVBA optimization technique for accurate lung nodule identification.
Results: The effectiveness of the suggested strategy in attaining accurate osteosarcoma LND is demonstrated by the experimental findings. Chebyshev filtering is incorporated during the pre-processing step, which leads to more accurate detection findings by improving the signal-to-noise ratio (SNR) and lung nodule visibility.
Conclusion: Additionally, the improved EfficientDet model demonstrates its suitability for clinical applications in early osteosarcoma detection and treatment monitoring by achieving (SOTA) State-Of-The-Art execution by the metrics of sensitivity, specificity, and F1 score.

Competency-based learning strategy for laboratory quality management

Auri Jacqueline Medina Astudillo, Diana Nancy Martínez-García — Tue, 19 Dec 2023 00:00:00 +0000

This study arises from the analysis of the lack of knowledge among second-semester clinical laboratory students regarding competency-based learning. It included the development of a competency-based learning strategy for Clinical Laboratory Quality Management. Work was focused on three specific objectives: identifying processes and procedures, developing a pedagogical and didactic strategy, and establishing efficacy indicators for quality management learning in the clinical laboratory. Criteria from various authors on the subject were considered. The methodology was explanatory-descriptive research with a cross-sectional approach. The study involved 20 second-semester students from the clinical laboratory program. The results allowed for the creation of a clinical laboratory process diagram for the pre-analytical, analytical, and post-analytical phases. Furthermore, general and specific competencies regarding quality in the clinical laboratory were identified. With these results, a proposal for didactic strategies with a competency-based approach for quality management learning was developed. In conclusion, the design of this pedagogical strategy was established, based on ICT, with video conferencing as a didactic resource that enables effective communication. The general competence was to perform analytical studies of biological samples, and the specific ones were obtaining biological samples, ensuring the quality of the analytical process, conditioning the sample for analysis, and validating the results.

The Use of Marketing Strategies in a Telecommunications Company in the District of Pachacutec in the Year 2023

Mon, 01 Jan 2024 00:00:00 +0000

The main objective of this study is to determine the use of marketing strategies in a telecommunications company located in the district of Pachacútec in the year 2023. The methodology used in the research was of a basic type with a qualitative level approach, with a descriptive scope and also had a case study design.

The main instruments for data collection were the interview guide that was applied to five internal collaborators of the telecommunications company, likewise the questionnaire of open-ended semi-structured questions and the technique of direct observation were used as an instrument, which were applied to the interviewees, in which it was obtained as a result that the use of marketing strategies broaden and help greatly in improving the company’s image as well as in the formation of a close bond with customers, because they feel more identified with the company. brand in the aspect that they manage to visualize through social networks, the continuous updating of the service of the telecommunications company located in Pachacútec. In addition, the marketing strategies used by the telecommunications company such as direct marketing and advertising complement the power to extend the service to populated areas that are difficult to access for multiple companies focused on the telecommunications industry, which strengthens the company’s interest in providing customers with a connection to the virtual world.

In conclusion, the study highlights that the use of marketing strategies in a telecommunications company in Pachacútec is essential to improve the brand image, establish a close link with customers and expand the scope of the service, especially in areas of difficult access

Design and Validation of Payload: Weight for a Bioinspired Inch Worm Wall Climbing Robot (IWWCR) Using Coppeliasim

Sat, 30 Mar 2024 00:00:00 +0000

In this growing era technology robots are replacing the humans by performing many risky operations enhancing the safety factor of human life. Particularly while considering performing task at high rise building or any high-altitude jobs, the need of wall climbing robot emerges. There are various types of wall climbing robot classified based on its adhesive mechanism and locomotive methods. Out of the various available method, Bioinspired type Robot has its own unique feature specifically when we talk about softbot. Bio inspired robots mimics the locomotion or any other specific feature of living creatures
In this paper, an novel approach is introduced for design and development of a Bio inspired Wall Climbing Robot (WCR) using a simulation software named Coppelialsim. An inch worm wall climbing robot is proposed mimicking the locomotion of inch worm is proposed as novel design. The design of the proposed WCR is validated with respect to payload(p): weight (w) value using the static and dynamic analysis both in simulation environment using coppeliasim software and real time experimental testing after fabrication. The flow of electromagnetic flux is further justified with the software called Finite Element Magnetic Method (FEMM) and the structural design of the proposed design is validated with respect to the Computer Aided Analysis (CAA) software. Thus, the proposed IWWCR possess the high p: w value when compared to all other existing bioinspired Wall climbing Robot.

Psycholinguistic matrix of image formation: case study of educational network discourse

Thu, 20 Jun 2024 00:00:00 +0000

The psycholinguistic matrix of image formation is a model that elucidates the intricate process of constructing mental images within the human mind. Comprising three integral components – perceptual, cognitive, and emotional – it provides a framework for comprehending how individuals interpret and react to the information presented in various forms, particularly within educational network discourse. In the context of educational network discourse, this matrix serves as an invaluable tool for understanding how people assimilate knowledge and navigate digital content. The psycholinguistic matrix of image formation proves particularly relevant in the development of effective digital educational materials. By understanding how individuals perceive, process, and emotionally connect with online content, it becomes possible to design learning resources that optimize comprehension, retention, and engagement. Practical applications include using images to enhance information reception, incorporating videos to facilitate comprehension, and integrating interactive elements to sustain interest and active participation within educational network discourse. Understanding this matrix offers profound insights into the learning processes occurring within the digital landscape. By leveraging this knowledge, we can harness the potential of technology and innovation to create more effective and engaging online learning experiences. The study addresses a significant gap in knowledge by exploring the psycholinguistic aspects of image creation within educational network discussions. The objective is to understand how digital images and text interact to influence learning, which represents a novel application of psycholinguistic analysis to educational materials. This investigation is important because it offers insights into optimizing digital educational platforms, an area with growing relevance in modern education

Socio-emotional competence and resilience in Peruvian basic education teachers: A case study

Tue, 30 Apr 2024 00:00:00 +0000

Introduction: In an increasingly complex and diverse world, where socioemotional challenges are as relevant as academic ones, teachers' socio-emotional competence has become a fundamental element in promoting a healthy school environment and contributing to their own emotional well-being.
Objective: To determine if there is a significant relationship between socio-emotional competence and resilience in a sample of Peruvian basic education teachers.
Methods: Quantitative, non-experimental, and cross-sectional research. The sample consisted of 30 teachers who were administered the Teacher Socio-emotional Competence Questionnaire and the Teacher Resilience Questionnaire, both instruments with adequate psychometric properties. The Pearson correlation coefficient (r) was used to evaluate correlations between variables and dimensions.
Results: Initially, it was identified that teachers were characterized by high levels of socio-emotional competence and resilience. Additionally, the Pearson correlation coefficient between both variables was 0.748 (p<0.001). Similarly, it was determined that resilience was also directly and significantly correlated with the dimensions of self-awareness (r= 0.706; p<0.001), self-regulation (r= 0.635; p<0.001), autonomy (r= 0.682; p<0.001), empathy (r= 0.603; p<0.001), and collaboration (r= 0.449; p=0.013).
Conclusions: There is a significant relationship between socio-emotional competence and resilience in a sample of Peruvian basic education teachers. Therefore, the implementation of professional development programs addressing these skills is suggested to enhance their emotional well-being.

Cytoprotection of Cecropia obtusifolia Bertol (Cecropiaceae) extract on the normal adherent cell line of human fibroblasts Hs68

Thu, 09 May 2024 00:00:00 +0000

The study focuses on the therapeutic action of medicinal plants used in the treatment of chronic degenerative diseases. The ethanolic extract of the Mexican species Cecropia obtusifolia Bertol, traditionally used for diabetes, was evaluated. The cytoprotective effect was determined on the normal adherent human fibroblast cell line Hs68, and its toxicity was assessed on Artemia salina. The cytoprotective effect was determined using the neutral red (NR) assay, demonstrating a viability of 98%, indicating a very low cytotoxic effect and no toxicity on A. salina. These assays have been routinely employed as screening methods for natural extracts and pure compounds with potential therapeutic effects against cancer.

Complications of Type 2 Mellitus Diabetes in the Ecuadorian Population: A Bibliographic Review

Elizabeth Quiroga, Cristina Arteaga, Fernanda Marizande, Alberto Bustillos — Mon, 03 Jun 2024 00:00:00 +0000

Introduction: Diabetes Mellitus Type 2 (DMT2) is a major public health concern in Ecuador due to its high prevalence and the array of complications it brings to those afflicted. Over recent decades, the incidence of DMT2 has shown a significant increase in Ecuador, impacting the quality of life and the healthcare systems significantly.

Objective: The study aims to review and synthesize existing literature on the complications of DMT2 within the Ecuadorian population, highlighting the burdens and management gaps.

Methodology: A bibliographic search was conducted across several databases, including PubMed and Web of Science, with search terms related to diabetes, nutrition, and complications. Criteria for inclusion were studies relating to DMT2 and its complications conducted in Ecuador and published in either English or Spanish. Data from 30 relevant articles were selected and analyzed based on their content and focus.

Results: The findings revealed a worrisome increase in mortality associated with DMT2, with 4,895 deaths recorded in 2017 and an increase to 5,051 in 2022, making it a leading cause of death in Ecuador. Frequent complications include severe cardiovascular issues, diabetic nephropathy, and diabetic retinopathy, each significantly affecting patient mortality and quality of life. The review highlighted deficiencies in the prevention and management of DMT2, noting the insufficiency of current strategies against established risk factors such as obesity, dyslipidemia, sedentarism, and smoking.

Conclusion: The review emphasizes the critical need to strengthen public health policies and educational and self-care programs for diabetes in Ecuador. Enhancements in these areas could significantly reduce the disease's burden and improve health outcomes for the Ecuadorian population.

Increasing the Steam Boiler Maintainability Adopted Design Factors

Ban H. Hameed, Luma Al-kindi, Omar Hashim Hassoon, Omar Hashim Hassoon — Tue, 28 May 2024 00:00:00 +0000

Companies are increasingly compelled to evaluate all dimensions of product performance in order to maintain competitiveness in the face of global market challenges. Maintainability is a crucial aspect of product performance. Maintainability refers to a product's economical and efficient ability to undergo maintenance. Maintenance is necessary for the proper functioning and longevity of several durable items. Adopting maintainability design factors during the first stages of the design process can reduce maintenance expenses, minimize maintenance time, and enhance safety measures. In this paper, the steam boiler is studied and how to improve its maintainability through design factors to make it more maintainable. In order to reduce the time required to perform maintenance and thus reduce the system's downtime and make it available for a longer time, thus increasing production. The case study adopted in this paper is the steam boiler of the thermal power plant in south Baghdad. A study of the steam boiler was conducted, and maintainability was calculated according to the data obtained from the station. A part of the boiler was chosen to improve its maintainability, which is the air heater, as it is the most essential part due to its frequent malfunctions. A study was conducted on the air heater and its parts. The overhead crane was developed by suggestion into an improved design as a tool for accessibility, considered an important design factor for ease of access and handling and, at the same time, for the safety of maintenance workers. This improvement reduced from 24 to 48 hours of repair time for each fault, and the results after calculating the maintainability of the steam boiler after the improvement showed that it increased from 48.5% to 53.5%, i.e., an increase of 5%.

Sizing Of Photovoltaic Standalone System In Mandali City / Iraq: A Case Study

Shaima Mahmoud Dhiyab Al-Janabi, Fadhel A. Jumaa — Mon, 03 Jun 2024 00:00:00 +0000

This paper includes a study on the load requirements of houses located in Mandali city, Iraq, as well as design and installation of a stand-alone photovoltaic (PV) system. The utilization of PVsyst simulation software has facilitated the examination of performance ratio with losses. The mean annual energy demand within the residential dwelling is recorded as 4614.5 kilowatt-hours per year, while the solar panel system is capable of generating 5731.6 kilowatt-hours per year. However, the energy delivered to the user falls slightly short of the required load, amounting to 4614.5 kilowatt-hours per year. The diminished power capacity for the system can be attributed to many types of losses. The examination of performance ratios indicates that the month of November exhibited the highest performance ratio (PR) at 87.57%, while the lowest PR of 50.61% was seen in April. On average, the PR for the entire year was calculated to be 63%. The diminished power capacity for the system can be attributed to many types of losses.

The Durability of Concrete Mortars with Different Mineral Additives Exposed to Sulfate Attack

Shereen Jalil Saif Allah, Muayad Mohammed Kassim, Ghazwan Abdulsamad Salman — Sat, 08 Jun 2024 00:00:00 +0000

For several years, extensive research investigations have been conducted examining the effects of acids commonly encountered by industrial facilities in manufacturing environments. Numerous studies have been conducted to examine the durability of concrete containing various chemical additives and fine metals when exposed to various acid solutions, as well as the preventive steps taken to avoid the deterioration of concrete associated with these acids. This research includes an examination of enhancing the effectiveness and function of concrete when exposed to sulfuric acid. It explores the use of waterproofing (WP) and complementary cementitious materials (SCMs), including silica fume Nano silica and fly ash, as well as a water-reducing additive. Cube-shaped samples measuring 100 x 100 x 100 mm were prepared and completely immersed in 2.5% dilute sulfuric acid solution for 90 and 180 days. . Compressive strength, tensile strength, and absorption tests were performed after 28 days, as well as after immersion in a 2.5% dilute acid solution for 90 and 180 days. The results revealed that after 90 days, there was a 31% reduction in compressive strength for mixtures with 25% FA and 5% SF, and a 46% decrease for mixtures containing WP, when compared to their corresponding results at the 28 day age under standard conditions. Mineral admixtures significantly reduce absorption rates. After 90 days, WP had 3% absorption during acid exposure, and after 180 days, the 25% FA and 5% SF mixture had 2.3% absorption. This results from reduced permeable voids due to decreased capillary pores, enhancing concrete durability. The findings also indicated that the impact of exposure to acid on the strength characteristics of concrete becomes more pronounced with prolonged exposure. In addition, the inclusion of NS, SF, and FA in cement concrete results in the development of a unique material that can meet the growing need for construction materials. Furthermore, this technique delivers economic and environmental benefits by minimizing pollution caused by waste products such as FA and SF, which are a residual by-products of thermal power plants and ferrosilicon production respectively.

Design and analysis of a microstrip antenna for superior 5G communication performance

Sahar K. Hassan, Zaid M. Khudair — Sat, 08 Jun 2024 00:00:00 +0000

The continuous advancement in communication systems is propelled by the growing demand for fifth-generation (5G) technology, aiming to meet the growing demands of systems that are small in size, operate at high speeds, and have a wide bandwidth. In order to address these requirements, innovative and highly efficient antenna configurations are of paramount importance. This article introduces a microstrip antenna that has been meticulously designed for optimal performance 5G systems. Optimized for 5G communication systems, the research focuses on the design and simulation of microstrip patch antennas which is shaped like butterfly, resonating at a frequency of 50.5 GHz. A Rogers RT5880 (lossy) substrate with a dielectric constant of 2.2 was employed in the antenna design. The dimensions of the proposed antennas were 6 × 6.5 × 0.787 mm³, which resulted in a geometric configuration resembling a butterfly. A comprehensive performance assessment involves exhaustive simulations using the CST Studio Suite application suite. In order to optimize critical parameters such as the Voltage Standing Wave Ratio (VSWR), reflected power, gain, frequency range (BW), and radiation pattern, the dimensions were meticulously adjusted. Significantly, the antenna operating at 50.5 GHz demonstrated a gain of 6.8 dB, in addition to a broad bandwidth of 5.364 GHz and an outstanding VSWR of 1.0131. The outcomes successfully underscore the outstanding performance exhibited by the butterfly-shaped design, thereby establishing its suitability for implementation in 5G networks.

An Empirical analysis of the effect of user behavior based on marketing sustainable fashion

Beeraka Chalapathi, G. Rajini — Tue, 11 Jun 2024 00:00:00 +0000

User behavior has had a significant impact on the fashion sector's marketing strategy. Environmental knowledge, market attitude, social conditioning, and value perception worth all had a favorable influence on the buying, but market attitude had the significant impacts. This study used a decision-making model that encompassed cognition, emotive, and behavior intentions to examine customer behavior of product consumer engagement. On the questionnaires, the demographic and hypothesis measurement items were separated. Only 370 of the 500 persons who applied have any previous experience shopping in the fashion industry. The major factors used to measure hypotheses are Promotional Strategy, Customer Satisfaction, Relationship Satisfaction, Purchase Intent, Loyalty Intention, and Participation Intention. All elements were evaluated using a 5-point Likert scale to measure from 1 – 5. This study also suggests that in order to achieve marketing goals and achieve long-term effectiveness for businesses, marketing content should be followed by Marketing Activity (MA) and Customer Experience (CE).

Exploring the influence of sensory brand recognition on brand loyalty within the quick service restaurant industry: an analysis of branded food retailers in kerala

Rajmohan Kadavil, M. Usha — Wed, 12 Jun 2024 00:00:00 +0000

In today's competitive business landscape, organized retail establishments are facing formidable challenges from online counterparts, while fast-food retailers are also facing the pressure. The rise in popularity of online food delivery apps has compelled organized restaurant businesses to swiftly adapt and innovate to thrive in this new business environment. When customers order food through online, the differentiating factor primarily is the taste of the food. However, when customers physically visit a restaurant, their experience is influenced by four additional sensory elements present in the retail outlet: sight, smell, sound, and touch. These sensory elements are intentionally employed by companies to position and distinguish their brand from competitors. This study intends to investigate how these sensory components affect consumers' perceptions of quality, which in turn affect purchase intentions. The study focuses on a selection of internationally recognized retail food outlets, with a significant presence across the globe, that have established locations in three major cities in Kerala: Kochi, Trivandrum, and Kozhikode.

Strategic decisions in research: A web-based project management system

Wed, 05 Jun 2024 00:00:00 +0000

This article addresses the implementation of a web-based project management system in the Research Department of the Technical University of Cotopaxi, La Maná extension. It highlights the importance of having a centralized platform that efficiently organizes various types of projects developed by research faculty, such as formative, generative, theses, scientific articles, and competitive funding projects. Additionally, it outlines the types of users who have access to the system, such as Administrators, Staff, Program Directors, and Faculty.
The article explores the methodology used, emphasizing the focus on bibliographic, exploratory, and field research, as well as the adoption of the agile Scrum methodology for the system's development and implementation. It presents the theoretical foundations related to project management, information systems, client/server architecture, and the technologies involved, such as PHP, HTML, CSS, Bootstrap, JavaScript, jQuery, SQL, and HTTP.
Finally, the results obtained are discussed, highlighting the benefits of the system in terms of operational efficiency, external visibility, and the promotion of individual achievements of the research faculty. It underscores the positive impact on the department's consolidation as a leader in research and its contribution to the advancement of knowledge and educational excellence in the region

Neurolinguistic channels: an important tool in the teaching-learning process in the Clinical Propedeutics and Medical Semiology course

Thu, 25 Apr 2024 00:00:00 +0000

Introduction: the ways in which we perceive, store, and encode information in our minds are known as neurolinguistic channels: visual, auditory, and kinesthetic. The learning style can be developed through teaching-learning strategies and one way to do this is to build on the student’s neurolinguistic channel.

Objective: to identify the neurolinguistic channel of students and teachers. Correlate the neurolinguistic channels of students and teachers. Correlate the neurolinguistic channels of students and teachers with the results of the test question.

Method: an observational, analytical, and cross-sectional study was carried out with an intentional universe of 61 students of the 5th semester of the Medicine career in the subject Clinical Propaedeutics and Medical Semiology and 3 professors of the Faculty of Medical Sciences “Miguel Enríquez”. Data analysis was performed descriptively, qualitative variables were expressed in numbers and percentage, and non-parametric chi-square statistics were performed.

Results: it was observed that in cases where the student-teacher channels coincided, 51,3 % of the students obtained grades between 4 and 5 points; whereas when the channels didn’t agree, 73,7 % of the students obtained a grade of 2. The comparison shows a trend towards statistical significance (Χ2=3,31; p=0,1915).

Conclusions: the auditory canal predominated in the students. A tendency towards better academic results was evidenced when there is convergence between the neurolinguistic channels of the teacher and the student

Classifying alzheimer's disease from sMRI data using a hybrid deep learning approaches

Mathews Emmanuel, J. Jabez — Thu, 07 Mar 2024 00:00:00 +0000

The chance of developing "Alzheimer's Disease (AD)" increases every 5 years after 65 years of age, making it a particularly common form of neurodegenerative disorder among the older population. The use of "Magnetic Resonance Imaging (MRI)" to diagnose AD has grown in popularity in recent years. A further benefit of MRI is that it provides excellent contrast and exquisite structural detail. As a result, some studies have used biological markers backed by "structural MRI (sMRI)" to separate AD populations, which indicate differences in brain tissue size and degradation of the nervous system. The lack of properly segmented regions and essential features by the existing models might affect classification accuracy for AD. The categorization of AD in this study is based on sMRI. In this research, the hybrid Deep-Learning Models "SegNet and ResNet (SegResNet)" have been proposed for segmentation, feature extraction, and to classify the AD. SegNet network is used to identify and segment specific brain areas. Edges and circles are the SegNet's first levels, whereas the deeper layers acquire more nuanced and useful features. SegNet's last deconvolution layer produces a wide range of segmented images linked to the 3 categorization labels "Cognitive Normal (CN)", "Mild Cognitive Impairment (MCI)", and "AD" which the machine has earlier found out. To increase classification performance, the attributes of each segmented sMRI image serve as strong features of the labels. To enhance the feature information used for classification, a feature vector is built by combining the values of the pixel intensity of the segmented sMRI images. ResNet-101 classifiers are then used for characterizing vectors to identify the presence or absence of AD or MCI in each sMRI image. In terms of detection and classification accuracy, the proposed SegResNet Model is superior to the existing KNN, EFKNN, AANFIS, and ACS approaches

Project management in the information technology sector

Fri, 29 Mar 2024 00:00:00 +0000

The article aims to demonstrate the importance of the application of information technologies within project management, through a critical analysis, in turn, explores the need to use agile methodologies within the IT sector. The research begins by addressing fundamental concepts regarding project management such as objectives and scope variables, information systems and methodologies needed to carry out an IT project are explored, as well as the challenges and needs that may arise during the implementation of an IT project. It was concluded that it is very important to use agile methodologies in IT projects, since this type of projects are characterized in obtaining results, therefore, it is necessary to have one or many multidisciplinary teams that work in an effective collaboration.

Bio Inspired Approach on Automatic License Plate Recognition Technique

Mahalakshmi S, Dheeba J — Tue, 16 Apr 2024 00:00:00 +0000

With increasing range of vehicles in our day-to-day life, managing conveyance is one among the main problem faced by urban areas. Automatic Number Plate Recognition (ANPR) technology may be a tool that is applied to good cities in parking management systems and toll booths on highways to beat this downside. ANPR is employed to localize the license plates then extracting the text from the image, segmented each character and recognize the characters. Various localisation algorithms, segmentation and character recognition algorithms were used to complete the process. The primary objective of our research is to develop a model for number plate identification utilizing bio inspired neural network model and compare with existing neural network models based on different illumination, tilted images blurred and shaded conditions. In this research, we used spiked neural network, a third-generation neural network model, to construct an automatic number plate recognition model inspired by biotechnology. The model shows 70% accuracy in normal images. The model would be tested for neuromorphic data sets for SNN model to enhance the SNN performance.

Eating habits in children of student mothers of the Adventist University of Chile. A descriptive study

Mon, 13 May 2024 00:00:00 +0000

Introduction: The parenting methods implemented by parents shape the eating habits of their children, so addressing them is key to achieving subsequent problems of childhood obesity, Objective: to know the eating habits of the students of the Adventist University of Chile (UnACh) related to the feeding of their children, Methods: cross-sectional descriptive study. A sample consisting of 20 mothers studying a degree at the UnACh was studied, obtained with the convenience method. A frequency of consumption questionnaire and another on personal history were applied, Results: it was found that eggs (55%), red meat (75%), refined cereals (100%), sugar (85%), sugary drinks (75%), %). %), led within the “complies” portion. 100% of the children do not comply with the intake or portions recommended by the Institute of Nutrition and Food Technology (INTA) of whole grains, fruits, water and oil, Conclusions: We were able to identify that the diet reported by the mothers surveyed that they gave to their children was insufficient according to the recommendations according to age; being a factor that should concern nutrition professionals to intervene in this group of the population that studies and at the same time has the responsibility of caring for a minor.

A Hybrid Rider Optimization with Deep Learning Driven Intrusion Detection Farmwork in Wireless Sensor Network

K Sedhuramalingam, Dr.N Saravana Kumar — Mon, 13 May 2024 00:00:00 +0000

Introduction: An array of hazards currently exists in cyberspace, prompting extensive research to tackle these concerns. Intrusion Detection Systems (IDS) are a mechanism used to provide security in Wireless Sensor Networks (WSN). The IDS continue to encounter significant challenges in accurately identifying unknown attacks. Conventional Intrusion Detection Systems (IDS) commonly rely on Deep Learning (DL) algorithms, which utilise binary classifiers to classify attacks. The data dimension attribute is affected inside large-scale high-dimensional data sets.
Methods: This research introduces a hybrid GFSO (HGFSO) model combined with Deep Learning Driven Intrusion Detection (HGFSO-DLIDS) to tackle this problem. The HGFSO approach is developed by merging the parameter selection methods of the Felis Margarita Swarm Optimisation (FMSO), the Grampus optimisation algorithm (GOA), and the Deep Convolutional Neural Network (DCNN) with BiLSTM (Bidirectional Long Short-Term Memory) algorithm.
Results: The model training utilised real-time traffic statistics, including the KDDCup 99 and WSN-DS datasets. After being trained and validated using the datasets, the model's performance is assessed by multi-class classification, achieving accuracy rates of 99.89% and 99.64% respectively.
Conclusion: As a result, this occurrence leads to a decrease in the overall effectiveness of detecting assaults. Deep learning may enhance the creation of an intrusion detection system by eliminating complex features in the raw data, resulting in a more precise classification method.

Random unbalance response of rotor with CuO Nano Lubricants

Marwan Abdulrazzaq Salman, Mahmud Rasheed Ismail, Hala Salman Hasan — Tue, 28 May 2024 00:00:00 +0000

Random vibration of disc imbalance is a proper simulation model of many practical rotors such as fans, pumps, turbines, generators, and so on. The current investigation examines the consequences of arbitrary stimulation arising from the random imbalance of a rotating disc in the rotor. Such as the force of the air on the turbine fan and misalignment fluctuations in the rotating part, which cause random vibration. Random vibration is a non-deterministic phenomenon, so the specific response cannot be evaluated; rather, statistical methods are suitable. This objective is accomplished by utilizing white noise excitation. Furthermore, the differential of the equation representing the transfer function of the rotor is evaluated since it is essential in the analysis of random vibrations. By converting the physical properties into mathematical models, it becomes possible to examine the random response due to the random excitation of a rotating disc under various influences. Additionally, nanoparticles of copper oxide (CuO) are incorporated into SAE10W-30 oil in order to investigate their effects on random vibration. An analytical solution is used to solve the governing differential equations using MATLAB software, from which the power spectrum density PSD and standard deviation of the response are evaluated. Some experiments are conducted using a rotor model and a random vibration setup. The random excitation is stimulated by white noise. It is found that the best random response occurs in oil lubricant with 0.0527 g of CuO nanoparticles, and the standard deviation of the response is reversely affected by rotor rotation speed. Comparing theoretical and experimental results shows good agreement for evaluating power spectrum density (PSD) and the standard deviation of the response.

Towards Enhancing Place Attachment in Urban Spaces of Vertical Residential Complexes (Bismayah as a Case Study)

Mustafa M. Anas Al-Mendilawi , Haider Jasim Essa Al-Saaidy — Wed, 05 Jun 2024 00:00:00 +0000

The place is a refuge for humans and human activities and interactions. Humans give value and meaning to a place through interaction with it and attachment to it. Positive feelings towards the place and its tangible appearance are place attachment, the most important dimension in the reciprocal relationship between humans and the place that urban designers must pay attention to. As a result of urban growth and the housing crisis, open spaces have lost their value and importance, especially in urban areas in vertical residential complexes. Therefore, the research paper aimed to evaluate the effect of the social and physical aspects of open spaces in vertical residential complexes on enhancing place attachment. This theoretical and practical research relies on literary and library studies and a mixed research strategy. The research used a common methodology by discussing previous literature and extracting the main vocabulary to build the conceptual framework for each. First, the social aspects are represented by demographic and psychological factors and social activities and interactions. Secondly, the material aspects are described by formal and functional characteristics. In the practical part, a field survey was conducted. The questionnaires (150 questionnaires) were distributed using a random method at the selected case study site (Bismayah Residential Complex).The results were analysed to determine the most influential factors based on their priority in enhancing attachment to a place. Thus, the research reached the most prominent indicators that contribute to developing an attachment to a place. with regard to the social aspect Indicators of length of stay, protection and safety, and social activities and interactions had the greatest impact on developing feelings of attachment to a place. This was followed, in varying proportions, by indicators of housing ownership, comfort and tranquility, and cohesion and social communication among the residents of the complex. As for the physical aspect, the indicators of enclosure and accessibility had the largest role, followed by the indicators of dependence on place and visual richness. And arriving at the indicators with the least impact on stimulating residents' feelings towards the place in the social and physical aspects, such as privacy, social homogeneity, clarity, and the human scale.

Flow Patterns Modeling over Spillway: Review Study

Humam Khalid Ibrahim , Ammar Hatem Kamel — Fri, 14 Jun 2024 00:00:00 +0000

A spillway dam, constructed concurrently with concrete or masonry, is a vital infrastructure designed to provide the controlled release of surplus water that surpasses the dam's storage capacity. Since the Ogee spillway is among the best and most well-known worldwide, it deserves study. Weir flow, inertia, and gravity are crucial in many open-channel applications. Consequently, hydraulic performance data between model and prototype structures are commonly scaled using Froude similitude. As the upstream head decreases in a weir flow, the surface tension and viscosity forces become more important, perhaps to the point where Froude scaling fails to achieve complete model-prototype similarity. Size-scale effects are responsible for various alterations to the head-discharge connection, the nappe trajectory, and air entrainment. Hydraulic parameters were explored in this work utilizing Flow3D software to find weir geometry optimization using the CFD method. In addition, this study attempted to evaluate flow on various parts of crested weirs in three different models.

The effect of using river water magnetization on corn yield and the properties of irrigation water and soil

Alaa Imad Hameed, Nadira Abbas Mohammad — Tue, 11 Jun 2024 00:00:00 +0000

This study aims at studying the effect of using two different intensities of magnetization of irrigation water on some properties of irrigation water and soil and on the yield of corn. The field of corn is divided into three sectors (R1: non-magnetized river water, R2: magnetized river water with 1000 gauss, R3: magnetized river water with 3000 gauss.
Examinations are made on the physical and chemical properties of the irrigation water, EC, PH, anions and cations for both water and soil as well as the productivity of the corn plant.
The results indicate that the magnetization of irrigation water with an intensity of 1000 gauss (R2) had a positive effect on all properties of soil, water and moisture content in addition to productivity.
Where the value of total dissolved salts (TDS), EC, and the values of K, Na, Mg, and Ca ions decreased for irrigation water. While the PH value of irrigation water increased at R2, this increase in pH may be due to the formation of more bicarbonate, calcium and hydroxide ions, which reduce acidity. With stability the value of these characteristics at the intensity of 3000 gauss (R3), the matter which indicates that this intensity is not useful for improving water properties. An increase in the value of (N, B, K) was observed in both leaves and seeds of corn when magnetized at an intensity of 1000 gauss.
The magnetization of irrigation water at an intensity of 1000 gauss increases the yield of corn plant more than the magnetized 3000 gauss.

An umbrella view on food habits in the context of health and sustainability for sports persons

D. Gunaseelan, G. Rajesh Kumar — Wed, 12 Jun 2024 00:00:00 +0000

Food and nutrition play a vital role in the health of sportspersons. They are responsible for their stamina, performance and optimal growth in their respective sport. A diet with proper nutrition and good eating habits will help the sportsperson optimize energy for excellent performance. Dietary advice from a competent dietitian and Chef daily, before and after each performance or during practice or competition, is very much needed. In the present scenario of the sports world, most countries debut special dietary Chefs for the well-being of their sportspersons. Diet rich in carbs and proteins at different levels are the base for good food habit.

Professional management competence of chinese hospital executives: an analysis

Yang Xia, Zheng Ying, Mudiarasan Kuppusamy — Wed, 12 Jun 2024 00:00:00 +0000

Over the past few decades, China's healthcare industry has seen tremendous alterations. The position of hospital executives, who play a crucial role in directing the course of healthcare organisations, is central to these shifts. This study offers a thorough investigation of Chinese hospital executives' professional management proficiency. The study explores several aspects of this competency, including planning ability, control ability, and problem-solving ability, by using a mixed-method approach. These factors are essential for guaranteeing better patient outcomes and efficient hospital administration. The study also finds several outside variables that affect these competencies, including leadership dynamics, policy ambiguity, and training programmes. This study provides a thorough understanding of the management environment among Chinese hospital executives by in-depth examinations of the literature, interviews, and a questionnaire survey. The research's conclusions not only provide important context for China's hospital management procedures, but they also pave the way for more studies in this area. The study emphasises the significance of improving hospital executives' professional competencies and the demand for focused interventions in this area. Hospital CEOs' roles will become ever more important as China's healthcare system develops. The present study makes a substantial contribution to the current corpus of information by illuminating the abilities necessary for efficient hospital administration in China.

Enhancing industrial security with iot-based passive intrusion detection and segmentation

Arunkumar S., Gowtham M.S., Revathi N., Krishnaprasath V.T. — Thu, 20 Jun 2024 00:00:00 +0000

Introduction: Passive intrusion detection in industrial environments can be challenging, especially when the area being monitored is vast. However, with the advent of IoT technology, it is possible to deploy sensors and devices that can help with mass segmentation of passive intrusion. Hence, this approach deploys ML (Machine Learning) algorithm as improvised (Convolutional Neural Network) CNN support for identifying and avoid illegal access to critical areas in real time, ultimately improving security and safety in industrial environments. Methods: In turn the proposed algorithm can detect patterns and anomalies that could indicate a passive intrusion. In order to discover the patterns and connections between the various sensor data points, DL (Deep Learning) techniques like CNNs, Recurrent Neural Networks (RNNs), and Autoencoders (AE) may be trained on massive datasets of sensor data.
Results: Then, the robust technique DL (Deep Learning) can be utilized for ID (Intrusion Detection) the industrialized settings, when specifically combined with other IoT devices like sensors and alert systems. Thus, the model is trained and tested. Finally, it achieved 98.51% and 94.85% accuracy accordingly.
Conclusion: These frameworks after the completing training phase can be employed for the novel sensor data’s actual analysis and also for the anomalies detection as it reveals a potential ID.

Pressure and Its Impact on Job Satisfaction and Organizational Performance

Yang Xia, Zheng Ying, Mudiarasan Kuppusamy — Thu, 25 Apr 2024 00:00:00 +0000

This paper explores the complex idea of work pressure among Chinese hospital administrators and how it affects job happiness and overall effectiveness of the organization. Hospital directors confront a wide range of intricate issues within the framework of China’s distinct healthcare system because of their twin responsibilities as administrative and medical leaders. The dimensions of role pressure are examined in this study, which include role gap, role overload, where the workload is excessive, role ambiguity, and the role of conflict. Understanding these aspects is essential to appreciating the effectiveness and well-being of hospital administration. Given that job happiness is a major factor in both employee performance and retention, these pressures have a significant effect on job satisfaction. The study also looks at the wider effects of pressure on organizational performance, which is crucial for the long-term viability and efficiency of healthcare facilities. Through an examination of these facets, the paper illuminates the noteworthy, albeit frequently disregarded, psychological and operational obstacles encountered by hospital administrators in China. This, in turn, offers valuable perspectives on the possibility of policy and administrative changes targeted at augmenting job contentment and organizational results

Neuromarketing and consumer behavior of the company Alimentos Procesados Agrícolas S.A.C., in Los Olivos 2022

Mon, 01 Jan 2024 00:00:00 +0000

Neuromarketing strategies are very important for companies to attract and retain customers or end consumers. But nowadays these strategies are not being applied in our country in a professional way. Therefore, the study developed proposes to analyze neuromarketing in the behavior of consumers of the company Alimentos Procesados agrícola S.AC. The methodology proposed in this research was of qualitative approach with a descriptive scope. The results of the interviewees indicate that they do not apply neuromarketing correctly or do not have professional knowledge of neuromarketing. In conclusion, the importance of applying the study proposed in this research work is identified because it provides many benefits and improvements to their businesses or companies.

Exploring the relationship between metacognition and motivation in Peruvian basic education students

Wed, 24 Apr 2024 00:00:00 +0000

Introduction: Metacognition is essential in the teaching-learning process, as students who are aware of their own thinking processes tend to be more effective in acquiring knowledge and skills.
Objective: To determine if there is a relationship between metacognition and motivation in Peruvian basic education students.
Methods: Quantitative research, non-experimental design with correlational scope. The sample consisted of 130 students who responded to two questionnaires characterized by adequate metric properties.
Results: Preliminarily, it was found that students applied metacognitive processes efficiently and their level of motivation was high. On the other hand, it was determined that the Kendall's Tau b correlation coefficient for both variables was equal to 0.501 and the p-value was lower than the significance level (p<0.05). This implies that those students who were more aware and reflective about how they approached their academic activities, how they planned and executed learning strategies, tended to be more motivated in their studies.
Conclusions: It was determined that there is a direct and significant relationship between metacognition and motivation in Peruvian basic education students. Therefore, it is suggested that teachers promote activities that develop self-reflection and awareness of thinking processes. This may include self-assessment exercises and learning journals.

Consequences of COVID-19 on aviation industry: a menace to global airlines

M. Srividya Iyengar, Dr. R. Venkatesh — Mon, 06 May 2024 00:00:00 +0000

The aviation industry has been considered one of the major contributors to the economy of nations for several decades. As a sub-sector of the aviation industry, airlines are considered the fastest mode of transportation for passengers and cargo across the globe. Since its invention, airlines have served millions of people to move from one country to another as well as within the country. Despite natural calamities and global war affairs, the airline industry has achieved immense growth in recent decades. In addition to the progress of airlines, coronavirus disease 2019 (COVID-19) has become a major hindrance to providing services to people around the world. Due to the rapid spread of deadly diseases, several airline firms have halted their air travel services in many parts of the world. As lockdowns and travel restrictions were enforced, this article examines the crisis of the airline industry after the onset of the COVID-19 pandemic.

Cancer situation in Latin America and its public policies

Wed, 24 Apr 2024 00:00:00 +0000

Introduction: Cancer in Latin America and the Caribbean presents a worrisome growth, with forecasts of increased incidence and mortality. Factors such as population aging, changes in lifestyles, and inequalities in access to medical care complicate its management. Prevention, early detection and adequate treatment are essential, requiring effective public policies and concerted action among various social and health actors.
Methodology: A literature review focused on the situation of cancer in Latin America, examining the implementation of public policies in the region. Documents published since 2019, in three languages, were reviewed, identifying practices and lessons learned in the prevention and early detection of cancer, mainly breast cancer.
Results: Latin America faces an increasing cancer burden due to demographic, epidemiological and lifestyle factors. Prevention and early detection efforts vary significantly across the region, with some countries implementing national cancer plans. However, significant challenges exist in financing, equitable access to health services, and comprehensive care.
Conclusions: It is crucial to develop comprehensive public policies that address the social determinants of health, promote healthy lifestyles, and ensure equitable access to prevention, diagnosis, and treatment services. The participation of all sectors of society, including citizens, is fundamental for effective cancer management in the region. The implementation of evidence-based programs and the strengthening of health systems are essential to address this public health challenge.

Dynamics of identity as a component favoring the generational replacement of vegetable fiber craftswomen in the district of Végueta

Sun, 12 May 2024 00:00:00 +0000

The aim of the research was to determine and explain how the dynamics of identity acts as a facilitating component in the generational transition of vegetable fiber artisans in the district of Végueta. The study adopted a mixed approach that combined quantitative and qualitative methodologies, implementing a descriptive research method and a sequential design. Furthermore, the research design was non-experimental and cross-sectional. The population consisted of 90 artisans, with a sample of 70 for the quantitative method and reaching saturation at the 25th interview for the qualitative method. The techniques applied included observation, documentary analysis, structured interviews, and surveys. The quantitative analysis resulted in the rejection of the null hypothesis, confirming that the dynamics of identity favor generational transition in the mentioned district. A Rho Spearman correlation coefficient of 0.974 was obtained, which was significant and strongly positive, and a p-value of 0.000. In the qualitative analysis, the artisans expressed deep pride in their cultural richness, reflecting the construction of their identity dynamics. However, they also expressed a feeling of incomplete recognition by society, which, although it values their cultural contribution, does not translate into concrete support through the purchase of their handicrafts. This economic uncertainty affects the artisans' willingness to train their successors, thus containing the generational transition process.

Early post-mastectomy upper limb kinesiotherapy plan

Fri, 31 May 2024 00:00:00 +0000

Introduction: Although breast cancer is the most common malignant neoplasm in women, thanks to technological advances and early detection, life expectancy in this population has increased considerably; Therefore, the incidence of musculoskeletal and functional problems in the upper limb has also increased. Early kinesiotherapy with active exercises is an adjuvant treatment alternative in addressing disorders associated with mastectomy. Therefore, based on a previous study, an early post-mastectomy upper limb kinesiotherapy plan is proposed.
Objective: Validate the content of the early post-mastectomy upper limb kinesiotherapy plan.
Methodology: The present study was analytical, documentary with a quantitative approach based on the results of the preliminary study carried out on 30 women mastectomized for breast cancer. It was structured based on the analysis and experience of the authors and the early kinesiotherapy exercise plan for the post-mastectomy upper limb was validated, through expert judgment and calculation of the Content Validity Coefficient – CVC, proposed by Hernández-Nieto (2011).
Results: A 6-week plan was structured, with a frequency of 3 times a week on alternate days. With sessions of 45 to 60 minutes, based on breathing exercises, active mobility and stretching with a progression in repetitions. The plan was validated with an excellent level of agreement between experts with a CVC of 0.96 per item and overall.
Conclusion: The early post-mastectomy upper limb kinesiotherapy plan is an alternative for complementary physiotherapy intervention in the treatment of musculoskeletal dysfunctions associated with mastectomy, being especially useful two weeks after surgery, to improve joint range, muscle strength and global shoulder functionality compromised.

Reduction of the Wetting Collapse of Sandy Gypseous Soil by Using Microbial-Induced Calcite Precipitation

Hadeel S. Sulaiman, Muayad A. Al-Sharrad, Idham A. Abed — Sun, 02 Jun 2024 00:00:00 +0000

Microbial-induced carbonate precipitation (MICP) is a promising technology for cementing sandy soils, improving ground, repairing concrete cracks, and remediating contaminated land. The aim of this research is to implement this technology in mitigating wetting collapse of Ramadi sandy gypseous soil which has a gypsum content of about 35%. To achieve this aim, the urease-producing bacterial strain Bacillus Megaterium SI was used and treated soil specimens were prepared. The preliminary results showed a well-defined bacterium activity with a precipitated calcite of 13-16.5% by the end of the first week. The results of the collapsibility test showed that increasing cementation solution molarity from 0.25M to 1M lowered the wetting strain and total strain caused by both loading to 100 kPa and wetting by about 75%. Therefore, the MICP demonstrates the potential to mitigate the wetting collapse of the sandy gypseous soil despite its high gypsum content.

Realizing smart microgrid electricity solutions for rural communities using a hybrid microgrid system based on renewable energy sources

Murtadha Hameed Jabbar , Ahmed Kareem Abdullah , Faris Mohammed Ali — Mon, 03 Jun 2024 00:00:00 +0000

Hybrid renewable energy sources are combined in microgrids to feed rural areas and remote locations where grid power is unavailable. This study aims to feed remote areas and newly established projects or factories far from the power source using renewable energy sources to continuously satisfy various load demands and supply power. A smart microgrid design is proposed for a hybrid system that includes solar energy with an artificial neural network (ANN), a wind turbine, an energy storage system that stores energy in a photovoltaic battery and uses it when needed, and an emergency diesel generator. To verify the effectiveness of the proposed approach, a mobile generation station consisting of diesel generators, solar PV systems, wind turbines and an energy storage system that stores energy in a bank of batteries is designed as an additional service source in MATLAB Simulink. The model has a capacity of 1MW and can handle loads of up to 800KW. With ANN, a stable output voltage solar without ripples was obtained. Load priority algorithm (LPA) was also used to coordinate between three loads: High, Medium, and Low Load priority, and the actual diamond for each load was achieved. The first load with the highest priority was fed 100%, and the remaining loads were fed to cover their needs, proving the design's validity. It demonstrates the effectiveness of the proposed solution in mitigating power outages. The station can serve all loads by using renewable energy sources (RES) to meet the energy demands of the loads.

Corrosion Inhibition Performance of Whey Protein-Derived Inhibitors for Low Carbon and Dead Mild Steels in1M Hydrochloric Acid

Hawraa W. Abd Muslim, Ali Mundher Mustafa, Firas Farhan Sayyid — Wed, 05 Jun 2024 00:00:00 +0000

This research investigates the corrosion inhibition capabilities of BCAA-derived inhibitors for low-carbon steels and dead mild carbon steels with distinct carbon contents when exposed to a 1M HCL solution. The effectiveness of the inhibitors was evaluated by measurements of weight loss and polarization. The study revealed that at a concentration of 10 grams, the weighing method showed that the BCAA inhibitor showed protection effectiveness (87 percent) at 313 K for low carbon steel and (89 percent) effectiveness at 303 K for dead carbon steel. Using a concentration of 15 g, the polarization method showed inhibitory activity of (96 percent) at 313 K for low-carbon steel and (96 percent) at 303 K for dead light carbon steel. These results indicate that the inhibition efficiency is affected by the carbon content. Samples were subjected to scanning electron microscopy (SEM) and optical microscope analysis before and after adding the inhibitor. When examined using FTIR spectroscopy, BCAA showed significant efficiency as a corrosion inhibitor for steel alloys immersed in acidic conditions.

A comprehensive investigation of brushless direct current (bldc) motors: current state, advanced control strategies, and utilization systems

Suhair Akram, Mohanned Aljanabi — Sat, 08 Jun 2024 00:00:00 +0000

In the field of dynamic applications, specifically within automotive, pumping, and rolling sectors, there exists a noteworthy preference for the use of Brushless Direct Current (BLDC) motors. Projections show that, by the year 2030, BLDC motors are poised to supersede classic induction motors as the dominating force in industrial power transmission. This transformation, however, is accompanied by crucial issues and unresolved research challenges in the environment of BLDC motors.
The core concern revolves around the dependability and endurance of BLDC motors. These motors presently encounter obstacles in achieving advanced fault tolerance, reduced electromagnetic interference, lowered acoustic noise, as well as mitigated flux and torque fluctuations. The path of closed-loop vector control emerges as a possible technique to address these challenges.
In recent literature studies spanning the previous five years, a striking scarcity of exploration in the domain of BLDC motor controllers and design becomes clear. Furthermore, key areas such as the comparative study of existing vector control schemes, the increase of fault tolerance control, the attenuation of electromagnetic interference inside BLDC motor controllers, and other pivotal elements remain undiscovered. These research lacunae serve as a motivator for the undertaking of an intensive investigation to face the fundamental issues related with BLDC motors. BLDC motors have quickly become the motor of choice for electric vehicle (EV) applications due to the fact that they are reliable, simple, and energy efficient.
This detailed survey goes deep into numerous sophisticated control strategies for BLDC motors. These encompass fault tolerance control, electromagnetic interference reduction, field orientation control (FOC), direct torque control (DTC), current shaping, input voltage control, intelligent control, drive-inverter topology, and the underlying operational principles aimed at the minimization of torque irregularities. Additionally, the study goes through the historical narrative of BLDC motors, the categorization of BLDC motor kinds, their structural complexity, mathematical modeling, and the standards that govern BLDC motor uses in varied industries.

Navigating career satisfaction and employee well-being: a study of indian railway employees in the south central railway division

Ashok Kumar Katta, A. Jayanthiladevi — Tue, 11 Jun 2024 00:00:00 +0000

Their degree of career satisfaction is defined as the sum of all the factors that substantially affect a person's ability and actual output to complete any certain sort of work. Career satisfaction elements begin and develop both outside and inside the workplace, either externally (non-controllable) or internally (controllable). Career satisfaction is the totality of all physiological, psychological, and environmental factors that either make a person satisfied or dissatisfied with his or her employment. Among the results of career satisfaction are assessments, thoughts, acts, and behaviors. Career Satisfaction boosts productivity because workers who enjoy their jobs are more inclined to put in extra time and effort. On the other side, employees who don't like their work may Additionally, there is a chance of higher staff turnover and absenteeism. The more the workers' commitment to their jobs, the greater their production will be as a result of their efforts. The goal of this study is to investigate the many factors that affect employees of the Vijayawada Division of the South Central Railway Division of the Indian Railways in terms of Career Satisfaction, as well as their difficulties and potential solutions. The Vijayawada Division of Indian Railways is a significant division.

Fostering employee engagement and knowledge sharing through artificial intelligence

S. Anisha Estherita, S. Vasantha — Wed, 12 Jun 2024 00:00:00 +0000

Artificial Intelligence is the field that growing at a rapid pace which involves the development of intelligent machines that perform tasks with the aid of human intelligence. The implementation of Artificial Intelligence has led to significant advancements in various business fields. It has the potential to transform the businesses and improve the process in many ways. Knowledge is the vital asset of any person, while its shared, it becomes an asset for many. Sharing of knowledge involves the exchange of information and expertise among the individuals in an organization. Knowledge sharing can help organizations to identify and the address problems effectively and swiftly. Engaging employee in an organization becomes a vital aspect for organizational productivity and organizational success as well. Once when an employee becomes emotionally attached to their organization, they feel responsible about their work and will work with involvement. Artificial Intelligence has the potential to promote employee engagement and knowledge sharing. Through personalized learning and development opportunities, it fosters employee engagement, whereas through real-time communication and collaboration technologies it facilitates knowledge sharing within the organization. This review article aims at discovering how Artificial Intelligence facilitates sharing of knowledge and engaging employees in the organization by undertaking a secondary method of data collection. This review article's primary goal is to add to the body of knowledge already available on the subject. The study found that adoption of Artificial Intelligence creates work environments that maximize knowledge sharing and enhances employee engagement.

A Systematic review of the association between emotional intelligence and suicidal ideation in the english and chinese literature

Xiaochang Zhou, Aqeel Khan, Ibnatul Jalilah Yusof — Wed, 12 Jun 2024 00:00:00 +0000

Throughout history, suicide has presented a significant public health concern on a worldwide scale. Many research investigations have highlighted the harmful connection between emotional intelligence and thoughts of suicide. However, no published articles have systematically reviewed relevant research in China. The objective of this paper is to examine and assess literature concerning the correlation between emotional intelligence and thoughts of suicide within the last ten years. The review includes sources in both English and Chinese languages. Chinese and English databases were queried using keywords such as emotional intelligence, emotional competence, suicidal ideation, and suicidal thoughts. Three reviewers conducted individual assessments of titles, abstracts, and complete texts according to predefined eligibility criteria. Data synthesis involved the extraction and analysis of research methodologies and outcomes. Sixteen studies that met the eligibility criteria were included in this systematic review. These studies, published between 2013 and 2022, demonstrated good methodological quality. The Wong and Law Emotional Intelligence Scale (WLEIS) and Emotional Intelligence Scale (EIS) were frequently employed in these articles, with several studies suggesting that an individual's ability to manage emotions was closely linked to suicidal ideation. Additionally, emotional cognition and others' emotional management abilities were predictive of suicidal ideation to some extent. The findings highlight a notably strong negative correlation between emotional intelligence and thoughts of suicide. This indicates that emotional intelligence could serve as a fundamental component for future investigations into interventions for suicidal ideation.

Rotavirus and adenovirus in the canton of Ambato, a retrospective post-pandemic analysis

Mon, 22 Apr 2024 00:00:00 +0000

Intestinal infections are one of the causes that most frequently bring patients under 6 years of age to primary health care systems. In Ecuador, given the cultural and hygienic conditions, they are linked to malnutrition, especially in rural areas, causing poor performance and absenteeism at school for children and wear and tear on their caregivers. Objective. To determine the presence of Rotavirus and Adenovirus in patients attending a laboratory in the city of Ambato from 2018 to 2023. Methodology. The research was descriptive and longitudinal with a total of 3330 patients between 1 day old and 80 years old. The detection method used was qualitative lateral flow immunoassay of Certest, Healgen and Operon brands. Added to this information obtained by literature search in sources such as Researchgate, Google Scholar, Scielo, PubMed, Elservier, BVS, Dialnet, Science Direct from 2018 to 2024.
The prevalence of Rotavirus was (69.28%) relative to that of Adenovirus (30.72%) ( p<0.0001). The rate of Rotavirus antigens in the year 2023 was higher for children between 1 day old and 5 years (76%) than that detected in children for Adenovirus (24%) (p<0.0001).
The presence of viral agents is considered moderate considering that the study population was urban, an increase in the number of cases from 2018 to 2023 is evident, which makes it necessary to review public health policies in order to reduce the number of times this pathology is repeated.

Open innovation in the pharmaceutical industry: subject mapping by bibliographic coupling

Laura Alejandra Almanza Ríos, Rubén Oliver Espinoza, Hortensia Gómez Viquez — Thu, 07 Mar 2024 00:00:00 +0000

This paper aims to identify the thematic structure of the literature on open innovation in the pharmaceutical industry using bibliometric analysis based on bibliographic coupling, based on the publications that comprise the H 26 index for the topic, according to Scopus. The publications coupled using VosViewer software yield nine clusters. Once these were organized, we reviewed their respective publications to discuss the subject matter of each one. Among the most relevant findings, five relevant clusters were identified: on open innovation models, governance aspects, financial performance, intellectual property and pioneering work covering the broad spectrum of innovation and competitiveness in the pharmaceutical industry.

An efficient fake news classification model based on ensemble deep learning techniques

R. Uma Maheswari, N. Sudha — Sun, 10 Mar 2024 00:00:00 +0000

The availability and expansion of social media has made it difficult to distinguish between fake and real news. Information falsification has exponentially increased as a result of how simple it is to spread information through sharing. Social media dependability is also under jeopardy due to the extensive dissemination of false information. Therefore, it has become a research problem to automatically validate information, specifically source, content, and publisher, to identify it as true or false. Despite its limitations, machine learning (ML) has been crucial in the categorization of information. Previous studies suggested three-step methods for categorising false information on social media. In the first step of the process, the data set is subjected to a number of pre-processing processes in order to transform unstructured data sets into structured data sets. The unknowable properties of fake news and the features are extracted by the Lexicon Model in the second stage. In the third stage of this research project, a feature selection method by WOA (Whale Optimization Algorithm) for weight value to tune the classification part. Finally, a Hybrid Classification model that is hybrid with a fuzzy based Convolutional Neural Network and kernel based support vector machine is constructed in order to identify the data pertaining to bogus news. However using single classifier for fake news detection produces the insufficient accuracy. To overcome this issue in this work introduced an improved model for fake news classification. To turn unstructured data sets into structured data sets, a variety of pre-processing operations are used on the data set in the initial phase of the procedure. The unknowable properties of fake news and the features are extracted by the Lexicon Model in the second stage. In the third stage of this research project, a feature selection method by COA (Coati Optimization Algorithm) for weight value to tune the classification part. Finally, an ensemble of RNN (Recurrent Neural Networks), VGG-16 and ResNet50.A classification model was developed to recognise bogus news information. Evaluate each fake news analysis' performance in terms of accuracy, precision, recall, and F1 score. The suggested model, out of all the methodologies taken into consideration in this study, provides the highest outcomes, according to experimental findings

Towards a Culturally Adapted JVQ: Rasch Model Validation among Adolescents in India

Mon, 06 May 2024 00:00:00 +0000

Purpose: This study evaluates the psychometric properties of Juvenile Victimization Questionnaire (JVQ) based on the lifetime victimization and traumatic experiences reported by Indian adolescents.
Method: A cohort of 350 adolescents, aged 12 to 18 years, from various schools in Aligarh District of India participated in this study.
Result: The JVQ’s content validity using Fleiss Kappa analysis, Unidimensionality, and item and person reliability were assessed through rasch measurement model. Moreover, the analysis yielded promising result for the JVQ, indicating high reliability, the Fleiss Kappa score of 0.92 suggest an almost perfect agreement, while the person and item reliability scores were recorded at 0.70 and 0.90, respectively.
Conclusion: This initial study supports the JVQ’s potential reliability and validity, suggesting it could be foundational tool for broader research across multiple locations.

Agro retailer’s opnionon ‘Bharat’ – one nation, one fertilizer scheme

Koushik R, Shobana R, Uma Maheswari — Wed, 24 Apr 2024 00:00:00 +0000

Background: In the year of 2022,Prime Minuister Narendra Modi launched the ‘Pradhan Mantri Bhartiya Jan UrvarakPariyojana that is One Nation, One Fertilizer Scheme. By this scheme all fertilizer brands will be in a uniform design and brand that is Bharat and not under the manufacture brand name. This concept was introduced in keeping in mind of the farmers to get rid out of misunderstanding of fertilizer brands and products.
Purpose: The study will explore the opinion and suggestions from the agro retailers towards the Bharat concept which is about to get implemented across the country.
Objectives:To find out the opinion and suggestions from the agro retailers on the upcoming concept ‘Bharat’ by the government of India and to analyse the suggestions to find out the merits and demerits from retailer point of view.
Methodology: The researcher has targeted Erode district in Tamil Nadu for the study and the district has more the 200 villages with more than 150 agro retailers operate in this target area. A survey is designed to gather primary data, while secondary data is gathered to supplement the knowledge gained from primary data for legal advice.
Findings: This work determines the acceptability level of the agro retailers for the Bharat concept and as well as merit, demerit, suggestions from the retailers. This paper will provide directions for future research.
Research, Practical & Social Implications: This work advises government policy makers, managers of fertilizer manufacturing companies to frame future processes of the ‘Bharat’ concept for implementation. Agro retailers’ merits and demerits could be considered during the process of implementation.

Brain abscess, the path to diagnosis. Case report

Tue, 30 Apr 2024 00:00:00 +0000

Brain abscess is a focal infection of the central nervous system (CNS), in which there are areas of localized cerebritis and central necrosis, surrounded by a well vascularized capsule. We present a 19-year-old case, with orobuccal and more recent cutaneous history, which starts with neurological symptoms. He is evaluated with laboratory tests and lumbar puncture without elucidating the etiology. Complementary neuroimaging tests were performed showing supratentorial lesions compatible with brain abscess. A sample was taken and the histopathological result determined infection by Staphylococcus Aureus. The patient was treated with antibiotic therapy, steroids and anticonvulsants with an immediate favorable evolution. He remains in controls. Brain abscess is a life-threatening disease that requires multidisciplinary management to achieve a timely diagnosis and management. Clinical manifestations are usually nonspecific, so the identification of the entity depends on neuroimaging studies and in case of infection, the diagnosis may require biopsy. Finally, treatment associates medical management with antibiotic therapy and neurosurgical intervention for drainage.

Ensemble classification based hybrid dual-channel convolution neural network (dccnn) with enhanced manta ray foraging optimization (emrfo) algorithm for cyber security malware threats detection

P.Vijayalakshmi, Dr. D. Karthika — Sun, 12 May 2024 00:00:00 +0000

Introduction: This study suggests usage of hybrid deep learning (DL) for identifying malwares in Internet of Things (IoT) networks. Furthermore, Channel Boost STM-RENet (CB-STM-RENet) is proposed as a DCCNN optimization technique that extends the split-change-merge model. Malware detection is performed using Hybrid Dual Channel Convolutional Neural Network (DCCNN) and Manta Ray Forage Optimization.
Methods: In this context, introduce a single-block convolutional STM known as DCCNN in CB-STM-RENet that performs local and spatial processing at the same time. The systematic use of the region and the deployment of parallel socialization processes facilitate the investigation of the unity of the region, the diversity of forces and the defining characteristics of the region. Three versions of DL: STM-RENet, DenseNet201 and InceptionResNetV2 (IRNV2) are proposed which work together to optimize DCCNN using split-change-merge in a unique way to improve generalization Hybrid learning. This dataset is a Google Code Jam (GCJ) for IoT malware detection challenges.
Results: The experimental results of the suggested method are better than existing methods for obtained accuracies and values of precision, specificity, F1 scores, MCC, and avg. processing times in classifications of cyber threats.

Review of the Use of Antisense Oligonucleotides as Therapy for Huntington's Disease

Ariel Solis-Chiriboga, Alberto Bustillos — Sat, 15 Jun 2024 00:00:00 +0000

Introduction: Huntington's disease is a neurodegenerative disorder characterized by the progressive degeneration of nerve cells in the brain, and whose current treatment focuses on the control of symptoms, which is why in recent years several therapies have been evaluated, including Antisense oligonucleotides a promising strategy, thanks to their ability to modulate the expression of the mutated huntingtin protein.
Methods:
A bibliographic search was carried out using the PRISMA methodology in databases such as PubMed, limited to documents in English published during the last 5 years, using keywords such as "Huntington's Disease", "Antisense Oligonucleotides", "Treatment" “Tominersen”, selecting only documents such as original articles, bibliographic reviews and clinical trial reports related to the use of Antisense Oligonucleotides as therapy for Huntington's Disease.
Results:
150 articles were collected and analyzed, of which 30 documents were excluded due to their age and 40 due to lack of access and quality of information, leaving a total of 80 articles to which inclusion criteria were applied, selecting 25 articles for completion. of this literature review on the use of antisense oligonucleotides in Huntington's disease
Conclusion: Antisense oligonucleotides show great therapeutic potential for Huntington's disease by directly attacking the underlying cause of the disease, mutated huntingtin. However, significant challenges still remain, which is why better research is needed to ensure efficacy. and safety of this therapy in the long term.

Fabrication and comperization Study the effect of molecular weight for chitosan blended with polyvinyl alcohol for food packaging application

Haneen H. Salman, Asra Ali Hussein — Tue, 28 May 2024 00:00:00 +0000

This research concentrates on the fabrication and characterization of biodegradable food packaging composed of Chitosan and polyvinyl alcohol (PVA), both possessing antioxidant and antibacterial activates. Simultaneously, the aim is to enhance the degradation of food packaging materials, safeguarding the environment against the hazards of pollution caused by food packaging waste, thereby safeguarding human health. The study explores the impact of different molecular weight biopolymers combined with synthetic polymers by incorporating various molecular weights of chitosan and polyvinyl alcohol PVA in different ratios (pure MMW-CS, LMW-Cs, PVA, 70:30, and 90:10). Films were created using the solvent casting method to fabricate and characterize biodegradable food packaging from these biopolymers, aiming to mitigate environmental pollution caused by food packaging waste and its adverse effects on human health. Various tests were conducted, and the comparison between MMW_CS and LMW_Cs revealed that the most effective combination was found to be (pure and 70% MMW_CS). This combination exhibited superior antibacterial properties, enhanced biofilm formation, favorable contact angle, UV resistance, as well as improved results in AFM and DSC analyses. The chitosan content played a significant role in augmenting the antibacterial activity and reducing roughness in the AFM test. Moreover, chitosan-based films demonstrated exceptional UV absorbance, providing a protective shield against lipid oxidation induced by UV light, thereby preserving the quality of the packaged food.

Effect of Concrete Slab on Built-up Double Web Castellated Steel Beam under Combined Flexural and Torsion Load

Farroq A .Abass, Alaa M. Al-Khekany — Wed, 05 Jun 2024 00:00:00 +0000

The research examines the behavior and reactions of six double-web steel sections of non-composite and composite-reinforced concrete deck slabs and castellated steel beams. The composite beams with concrete slabs and non-composite steel beams with different levels of castellation were isolated from the specimens at 0%, 25%, and 50%. The ultimate strength, load at cracking, failure mechanism, load/deflection relationship at midspan, stiffness, and ductility were evaluated. The concrete slab increased the ultimate load by 61.1%, 63.3%, and 55.5% for castellation ratios of 0%, 25%, and 50%, respectively. The non-composite and composite castellated beams' shear strength decreased as the expansion ratio increased. The angle twist of non-composite samples was greater than that of composite samples due to their greater ductility and lower stiffness. The concrete slab also restricted the samples and reduced their rotation.

The Use of Feature Technology in Selecting Cutting Tools and Generating Tool Paths

Weam A. Al-khaleeli , Mohanned M. H. AL-Khafaji, Mazin Al-wswasi — Tue, 11 Jun 2024 00:00:00 +0000

Conventional manufacturing depends on the expertise of a process-planner in analyzing the design’s inputs and generating a comprehensive manufacturing plan. Despite the use of Computer Numerical Control (CNC) systems during the manufacturing process, it is still considered costly and time-consuming due to the demands of human intervention. Automation systems have become indispensable in the manufacturing industry since they significantly reduce the effort and errors of process planners, improve manufacturing flexibility, enhance efficiency, and minimize product costs. To solve the issue and achieve automation in this field, feature technology is used to automatically integrate the design and manufacturing processes. Algorithms of automatic feature recognition (AFR) have been developed to analyze geometric information of a part design, stored as a STEP file, and convert it to a set of predefined features. After completing the recognition process, a feature subtraction method is applied to solve the intersection issue of the predefined features which appears during the rough cutting cycle and generates intermediate features. This study focuses on recognizing and subtracting features of rotational parts. The system has been built via C# programing to detect set of 14 predefined final features, as well as different shapes of intermediate features. Both the final and intermediate features can be utilized to automatically generate the desired outputs of a process planning. This includes selecting machining process, sequence of operations, cutting tools and cutting conditions, and generating the G-code for machining the part. The proposed methodology has been evaluated through simulations and practical experiments, and the results were as expected.

The utilization of chlorophyll and micro-lead in bio-silicon as a foundation for shielding against X-ray radiation in the medical field

Ahmed Ehsan Jassem, Mohamed Hamzah Al-Maamori, Ahmed Fadhil Hamzah — Mon, 10 Jun 2024 00:00:00 +0000

Shielding aprons were produced using microlead with chlorophyll, which is a viable alternative to the widely used sheet lead aprons for shielding against medical radiation. A study was conducted to examine the effectiveness of five types of radiation shielding sheets composed of a blend of microlead and chlorophyll at varying concentrations (50, 100, 150, 200, and 250 wt% with 35 wt%, respectively) with biosilicon as a base. A comparison was made between the transmission dosages of these sheets and a lead standard (commercial shield). The tensile strength was tested when radiation shielding sheets were being made and used the European Standard for Industry test method (IEC 61331-3:2014) for X-ray protection equipment to measure the transmission dosage. and compare the results with radiation transmitted through a lead standard that had different thicknesses (0.05, 0.1, 0.15, 0.2, 0.25, 0.3, and 0.35 mm). These measurements were taken at tube voltages of 30, 60, 90, 120, 150, and 180 kVp. In the results, it was found that using a mixture of 150% microlead and 35% chlorophyll worked to measure a dose similar to 0.3 mm of lead. The transmission dose was 13.58 mR and 13.8 mR for sheet lead, and the density of the shield is 1.72 g/cm3. For this reason, it could be used instead of lead sheets, making it a good choice for protecting medical equipment from radiation.

Role of yogic practice influence the psychological factors in the development of women sports

N. Sundar Raj, James Zachariah, M. Vijay Amirtharaj, M. Prasanna, P. Ranjith — Tue, 11 Jun 2024 00:00:00 +0000

The involvement of women in sports in India is generally low owing to a dearth of spectator interest and inadequate coverage of women's sports. Factors such as women's limited access to education, societal perceptions of women in sports, self-esteem, self-confidence, menstruation abnormalities, self-image or body image, gender role orientation, and competitiveness should all be taken into account. Yoga is sometimes seen as not being a sport, although it is really a physical exercise that follows rules, can be done competitively, and has measurable outcomes. Multiple reasons contribute to the low engagement of women in sports throughout society. Family has a profound impact, often initiating early engagement in sports, although this differs according to gender. Female participation in sports is often seen unfavorably. Societal attitudes and biases are another factor that impacts sports participation. For instance, many girls refrain from engaging in certain hobbies out of concern that they would be seen as masculine. This is because societal attitudes and biases about sexuality hinder females from participating. Female athletes possess psychological traits that include gender role orientation in several sports, including wrestling, weight lifting, and bodybuilding. These activities have traditionally been deemed unsuitable for women due to the possible adverse consequences of masculinization. Intensive training contributes to the improvement of self-esteem, self-image, and body image. Engaging in athletic activities also aids in the promotion of positive body image. It enhances body contour and promotes a harmonious physique, thereby enhancing self-perception. Yoga enhances strength, flexibility, and balance, all of which are vital for athletes. The majority of yoga postures are essential for enhancing strength, improving the range of motion, mobility, and coordination in athletic performance, as well as preventing injuries.

Financial distress analysis for the prediction of corporate bankruptcy – a case study of a public sector company in India

A.V. Rejimon, M. Usha — Wed, 12 Jun 2024 00:00:00 +0000

Purpose: The present study examines the liquidity of the firm and its impact on financial distress, which may or may not increase the chances of bankruptcy. The study also analyzes the profitability, cash position, and solvency of the firm.
Design/methodology/approach: We use the data of a listed Government manufacturing company and measure the financial distress and probabilities of bankruptcy to test the chances of financial distress during the period between 2015 and 2019. The financial models used for evaluation in the study are the Altman z-score model, Logit Probability model, and Falmur model.
Findings: The study found that there was a chance of bankruptcy in the initial years, but later, it survived the bankruptcy. The study also established that the liquidity and solvency of the firm were not up to the standard.
Practical implications: The result of the study extends our theoretical understanding and also provides valuable guidelines to reduce the chance of insolvency, bankruptcy, and financial distress of firms and to maintain the proper financial health of the firm.
Originality/value: While many empirical studies investigate the relationship between liquidity position and its impact on financially distressed firms in the industry as a whole, but most do not consider the impact of financial distress in an individual firm or company. Most of the published studies use statistical tools for the evaluation of financial distress. This study uses Multiple Discriminant financial model analysis. Multiple Discriminant financial model Analyses are very useful in deciding remedial actions for financial distress problems.

Implementation of a teaching self-evaluation module in the substantive function of research at the technical university of cotopaxi la maná extension

Tue, 18 Jun 2024 00:00:00 +0000

The present study addresses the implementation of a teaching self-assessment module at the Technical University of Cotopaxi Extension La Maná, with the objective of strengthening the substantive function of research within the institution, through a mixed methodology that combines qualitative and quantitative approaches. , the module was carried out in collaboration with the teaching staff, using tools such as Visual Studio Code, Laragon, HTML, CSS, SQL, PHP, JavaScript, Bootstrap and jQuery. The agile Scrum methodology was adopted, dividing the project into 2-4 week sprints, allowing for an iterative and incremental approach with continuous feedback. Performance tests and performance evaluations were implemented that involved teachers and academic authorities, guaranteeing the effectiveness, usability, relevance, reliability and validity of the module in the evaluation of research competencies. The implementation of the teaching self-assessment module, following the agile Scrum methodology, has proven to be a valuable tool to promote continuous improvement and academic excellence in the institution, strengthening the substantive function of research at the Technical University of Cotopaxi La Maná Extension.

Nutrition, obesity and their relationship with liver diseases

Erik Abraham Correa Vásconez, Verónica Elizabeth Guanga Lara — Wed, 22 May 2024 00:00:00 +0000

Introduction: The frequent consumption of foods high in saturated fat content has been associated with the increasing prevalence of obesity worldwide, especially in developed countries. The aim is to conduct a literature review on nutrition and its relationship with obesity and the emergence of liver diseases. Methods: A literature review was conducted in digital libraries such as PubMed, Scielo, and Latindex, meeting inclusion criteria: years between 2019 and 2023, updated dietary guidelines, official documents, scientific articles, and books in English and Spanish. Results: Non-alcoholic fatty liver disease (NAFLD) is a growing condition, being one of the most relevant chronic liver diseases worldwide, especially in adults, school-age children, and adolescents. It has been associated with obesity, diabetes, and metabolic syndrome, affecting 25-30% of the adult population, with higher prevalence in countries such as Brazil, Chile, and Colombia in Latin America. NAFLD can lead to serious complications such as liver cirrhosis and liver cancer. Prevention includes lifestyle changes such as a balanced diet and regular physical activity, as well as early identification through nutritional screening tools in medical and nutritional consultations. Conclusion: There is a direct relationship between nutrient type, dietary habits, lifestyle, and the emergence of obesity and its complications in liver functions, non-alcoholic fatty liver disease, cirrhosis, and alterations in the functions of other organs.

Environmental awareness as a transfiguring factor of the sustainable behavior of the visitor to the Lachay National Reserve

Thu, 07 Mar 2024 00:00:00 +0000

The objective of the research was to understand and explain the relationship between environmental awareness as a factor in transforming the sustainable behavior of visitors to the Lachay National Reserve. The research type is applied, with a mixed research approach and descriptive research method, using a sequential explanatory mixed method and a non-experimental and cross-sectional research design, with a correlational and explanatory scope. The population consisted of 19,326 visitors, with a quantitative method sample of 377 visitors and a qualitative method reaching saturation level in 15 interviews. The applied techniques included observation, document analysis, structured interviews, and surveys. The research resulted in the rejection of the null hypothesis in the quantitative analysis, confirming that environmental awareness is linked to the transformation of sustainable behavior among visitors to the Lachay National Reserve, with a Spearman's Rho correlation coefficient of 0.584, which is statistically significant and moderately positive, with a p-value of 0.000. In the qualitative analysis, environmental awareness transforms sustainable behavior through psychological factors such as environmental-cognitive knowledge, allowing the identification of environmental concerns, and landscape-affective factors. The interaction of cognitive and affective factors enables the generation of pro-environmental behaviors and attitudes

Principles and Procedures of Material Development in the Evolving ELT Scenario

Sumita Grewal, Manoj Manuel, Roy P Veettil — Mon, 11 Mar 2024 00:00:00 +0000

There are many linguists who tried to define an important aspect of ELT which is the Curriculum. Curriculum refers to the specific blueprint for learning that is derived from desired results—that is, content and performance standards (be they state-determined or locally developed) (Dundar, 2017). According to Tomlinson, the term "material development" refers to all of the procedures used by professionals who create and/or utilize language learning resources, such as adaptation, design, production, exploitation, evaluation, and research. Curriculum designing in itself is a complex process which involves a lot of factors and not just writing or teaching a curriculum. As part of the development process, curriculum design and evaluation is crucial to the teaching of English and other subjects since it outlines the methodologies, procedures, strategies, and activities used to teach the language and its content. (Brown, 1995).

Reflecting on the historical context of English language instruction, we don’t see much done before the 20^th century. ELT gained popularity with migrants moving to English-speaking countries. The importance of English also increased in terms of business and trade. The expansion of and significant growth of various media sources such as radio, movies, and television, supported English to become more popular. Eventually, lots of research was initiated in the area of English language teaching methods and material development. In fact, many teaching methods have been tried and tested in the last one century in pursuit of the most effective method. The search for new methods is still on to improvise ELT in the current dynamic classrooms

Thromboprophylaxis to prevent venous thromboembolism in postoperative patients

Mon, 15 Apr 2024 00:00:00 +0000

Venous thromboembolism (VTE) is an important cause of morbidity and mortality with a cardiovascular factor. Its appearance is generally determined by risk factors such as surgery. This occurrence can be avoided in some scenarios thanks to the administration of thromboprophylaxis. Therefore, the objective of the study was to analyze the effectiveness of thromboprophylaxis on the incidence of VTE in post-surgical patients. The study was developed thanks to an analytical approach to information, with the PRISMA methodology of systematic reviews, for which works were retrieved through the PUBMED, Science Direct and Scopus search engines, where 20 academic documents were recognized. It is concluded that thromboprophylaxis reduces the incidence of VTE in post-surgical patients; however, it is recommended to continue with studies to determine the most specific anticoagulant according to the type of surgery.

The Business Paradox: Exploring the interaction between the Business Clock and the Sustainable Development Goals through an ethical, sustainable and well-being prism

Víctor Mercader, Mary Luz Ordoñez Santos, José Luis Mercader — Tue, 07 May 2024 00:00:00 +0000

This research focuses on the need for companies to improve in various areas of performance and achieve positive outcomes. Twelve key variables were identified, including ethics, global leadership, teamwork, effective communication, education/training, technology, sustainability, negotiation, financial management, productivity, decision-making, and corporate happiness, which are essential for the balanced growth of any organization. These variables represent the twelve hours of the corporate clock and, when properly managed, balancing the tangible and intangible aspects, they lead to long-term prosperous results. Additionally, connections were analyzed and established between these variables, the United Nations Sustainable Development Goals, and Mercader's Ethical Values Taxonomy. Questionnaires were administered to graduate professionals, using a Likert scale, to assess the need for these variables in companies. A total of 4,207 responses were obtained, which were analyzed along with the participants' gender. The results provide an understanding of the priorities, realities, and relevance of the studied business variables. This research is novel, as it has not been previously conducted in its entirety or reflected upon the empirical data obtained. Despite their apparent simplicity, these data represent the realities and effects within the organizational and business environment. Therefore, this study is highly relevant for entrepreneurs, professionals, traders, entrepreneurs, educators, and others, as it enables self-analysis, the application of new experiences, and the attainment of benefits.

Active didactics in the learning processes of high school students.

Mon, 20 May 2024 00:00:00 +0000

The study focused on evaluating the implementation of active teaching methodologies in the learning process of high school students, with an emphasis on strengthening cognitive skills and self-awareness. The results revealed that the majority of teachers apply these strategies in their classes, which supports the initial hypothesis. However, areas for improvement were identified in teacher training and the effective application of these methodologies, especially in terms of pedagogical support and the application of metacognitive strategies. Based on these findings, the creation of a methodological guide is proposed to support teachers in the correct implementation of active didactics. This guide would include specific strategies to activate cognitive processes in students, design activities that promote student leadership, and encourage the development of critical thinking and the application of learning. Additionally, the strengthening of pedagogical support for students and promoting of learning cycles to improve class methodology are suggested.

Impact of new type of plastic as aggregate on fresh and hardened, microstructure properties of concrete

Abeer Muayad Saleh, Sheelan Mahmoud Hama — Sun, 02 Jun 2024 00:00:00 +0000

The goal of this work is to reuse plastic waste as a result of the production of valves on gas bottles into concrete. In this way, one can reduce and consume that waste and at the same time reuse it in concrete and study its effects on its properties to decide which best content. This kind of plastic waste was used in different quantities (5%, 7.5%, 10%, 12.5%, and 15%) to replace fine natural aggregate (sand) partially. The effects of these ratios on the fresh concrete's slump factor, the density of hardened concrete, compressive strength, absorption, microstructure, and ultrasonic pulse speed were studied and compared with a reference mixture free of plastic waste. The ANOVA analysis was used to analyze the results of the fresh and hardened tests, and it was concluded that 5% was the ideal percentage of the percentages used, as it had less negative influence on the properties of concrete. From laboratory work, it was concluded that increasing the percentage of plastic waste has a negative impact on the properties of concrete, such as reducing compressive strength, flexural strength, spitting tensile strength, and increasing absorption.

Structural behaviors of different corroded RC members strengthened by different types of concrete jackets

Nada A. Mahmoud, Yousif A. Mansoor, Mahmoud K. Mohammed — Mon, 03 Jun 2024 00:00:00 +0000

Existing corroded reinforced concrete (RC) structures must be repaired and strengthened to extend their service life. Otherwise, they must be demolished and rebuilt. In general, repair and strengthening are more cost-effective than demolition and reconstruction. This research assessed the performance of corrosion-damaged reinforced concrete beams and columns strengthened with different types of concrete. The corrosion rate of reinforcing columns and beams was assumed to be 10% using accelerating electrochemical corrosion method. After steel corrosion, the surface of concrete members is roughened by sandblasting; it was then strengthened with different types of concrete: self-compacting concrete (SCC), fiber-reinforced self-compacting concrete (FRSCC), high-performance concrete (HPC), fiber-reinforced high-performance concrete (FRHPC), and fiber reinforced normal concrete (FRNC). Before and after corrosion, the flexural and compression tests were carried out for the beams and columns, respectively. Experimental findings demonstrated that the bearing and axial compression capacities of beams and columns were reduced considerably. due to the corrosion of reinforcements, and concrete jackets from different types of used concrete could efficiently restore the damage resulting from corroded steel rods. The study concludes that the use different types of concrete are suitable for the external strengthening of corroded RC members. However, for flexure, the strengthen concrete beam that achieved the highest increase in flexural and ductility is the one strengthens by 30 mm FRHPC jacket (8.65%). For axial compression, strengthen concrete column that achieved the highest increase is that strengths with 30 mm of FRSCC (136.78%).

A Comparative Study on Dip Coating and Corrosion Behavior of Ti-13Zr-13Nb and Commercially Pure Titanium Alloys Coated with YSZ by Taguchi Design

Marwan B. Hussein, Ali M. Mustafa, Makarim H. Abdulkareem — Wed, 05 Jun 2024 00:00:00 +0000

This work evaluates experimentally the corrosion and tip testing of Ti-13Zr-13Nb joint implant alloys and commercially pure titanium (cp-Ti) covered with YSZ nanoceramic. Through the use of the Taguchi design of experiments (DOE) approach, the dip coating process produced a thin sticky covering. The effects of temperature, YSZ concentration, duration, and the level of Ti alloy substrate grinding during dip coating were investigated using a L9-type orthogonal Taguchi array to determine the deposition yield. The thickness and adhesion tests that were utilized to optimize the dip coating conditions served as the input data, and the Ti alloys were coated using the ideal dip coating technique parameters as previously mentioned. For commercial Ti, the ideal values for YSZ coating thickness and adhesion were 60°C, 10 seconds, 10% concentration, and 250 degrees of grinding; correspondingly, for Ti-13Zr-13Nb, the ideal values were 60°C, 10 seconds, 15% concentration, and 400 degrees of grinding. For both Cp-Ti and Ti-13Zr-13Nb, the obtained thickness and removal area (adhesion) were 58.5µm and 11.45%, respectively, and 69.5µm and 9.33%, respectively. High-resolution scanning electron microscopy (FE-SEM) images were used to study the coated alloys; optical microscopy and AFM were used to identify the microstructure and thickness measurements of the coated surfaces; EDAX was used to analyze the coating composition; and XRD was used to analyze the formed phases. The optimized coated Ti alloys' corrosion resistance was investigated in simulated body fluid (SBF) using electrochemical methods such as cyclic polarization and Tafel polarization, and the adhesion strength of the coatings was measured using a tip tester. The following corrosion-resistant values were used to compare Ti-13Zr-13Nb and coated Cp-Ti: In Ringer's solution at 37°C, both coating alloys—Cp-Ti and Ti-13Zr-13Nb—improved corrosion resistance; however, the coated Ti-13Zr-13Nb alloy demonstrated greater corrosion resistance than the coated Cp-Ti alloy (5.417×10-3 and 1.042×10-2, respectively).

Impact of Increasing Albedo on Choosing the Optimal Tilt Angle to Optimize PV Systems : Case Study

Mohsin Ali Diwan, Muhammed Salah Sadiq Al-Kafaji, Ahmed H. Duhis — Sat, 08 Jun 2024 00:00:00 +0000

The amount of irradiation energy that is produced by reflecting one's surroundings is measured using albedo. The amount of albedo is affected by factors such as time, position, geometry, and meteorological conditions. The albedo value responds to changes in any of the characteristics described above, even if those changes are just slight. Because of this, modelling albedo can be difficult. This paper applied the optimum tilt angle at 31° with a constant albedo 0.2 for location in Al-Furat Al-Awsat Technical University - at latitude 32°03'30.6" North and longitude 44°24'13.3" East. After treating the surface on which the PV system is installed with white Portland cement, the surface albedo will change to (0.87); the increase in albedo leads to an increase in reflected radiation from the ground on PV panels then increase in the power output, also the results shown to reaching the maximum value of the solar irradiation hitting the PV panels to get maximum value of power output with albedo 0.87 in this location, optimum tilt angle will change to be 42o instated of 31o. This study proved that when the albedo of the surface on which the system is installed changes, so does the optimal tilt angle.

The managerial skills in the game of roll ball - An indigenous game of india

Senthil K Nathan, A. Sumathi, Tharun S Raaghav — Tue, 11 Jun 2024 00:00:00 +0000

Roll Ball is an indigenous game of India. Roll Ball is a dynamic game blending roller skates, basketball, handball, and throwball, played between two teams of twelve players. The objective is to score goals within a set timeframe. It allows ball handling with one or both hands, bouncing repeatedly. Invented by Raju Dabhade in 2003, it's governed by the International Roll Ball Federation, emphasizing balance, speed, accuracy, and teamwork. With six World Cup matches held, Roll Ball has garnered global attention and become a beloved sport among youth. In roll ball, referees have the authority to make decisions on the field, according to the rule of Roll Ball. The good or bad decision of a referee could change the result of the game. Refereeing is a very critical task. The role of referees and players on the field of play demonstrates many more managerial skills. Management is a term is meant not only for companies, but also for sports. This conceptual paper describes the managerial skills being utilized either knowingly or unknowingly by the players and referees.

Reimaging maritime education and training using latest technologies

N. Kumar, G. Rajini — Wed, 12 Jun 2024 00:00:00 +0000

The world is moving towards technological advancements and every industry is rapidly changing its approach. Thus, industry looks for more technically knowledgeable and analytically persons to adapt to the fast-changing world.(6) This revolutionized the higher education system across the world. The education system changes its traditional method of teaching to more practical based blended learning. Whereas, the maritime industry which used to take people at the age of 12 and train them at the ship for various works is also selecting their candidates with basic subject knowledge and analytical skills. Because at present the maritime education is more of traditional based theoretical learning. The maritime education course contents are designed in such a way that it should meet the minimum requirement of Standards of Training, Certification and Watch keeping for Seafarers (STCW) convention adopted by the International Maritime Organization (IMO) which were not been revised after 2010. The shipping companies are looking beyond this minimum requirement as the ship is automated and has more advanced machineries onboard the ship. The seafarers with more analytical and basic theoretical knowledge find it difficult to adapt them to the technologically advanced marine environment. The present students studying the maritime courses lack interest in studying the theoretical based traditional learning. Since the STCW conventions are under review, this paper discusses about the blended learning techniques which can be adopted to the course contents. The data has been collected using structured questionnaire from different set of people. The collected data was analyzed and validated using AMOS and SPSS software. The results shows that the blended learning techniques like Augmented reality and Virtual reality techniques considerably solves the problem. This technique also gives the student hands on training which will be more helpful when they are onboard.

Gothic imagination: mapping the cultural memory and remembrance of the epidemic plague

B. Ramya, Poonam — Tue, 11 Jun 2024 00:00:00 +0000

Narratives about the epidemic plague create a sense of mystery and fear associated with the cultural landscape. Incorporating the backdrop of the plague, the first part of this research explores the portrayal of the epidemic as the setting against which a Priest engages in a ritualistic transgression to safeguard his soul. The second part focuses on the enigmatic events that unfold when the tomb of the priest inside the church is disturbed, giving rise to a series of mysterious occurrences. By employing Linda Hutcheon's historiographic metafiction, the study focuses on remembering the epidemic plague in the novel A Shadow on the Wall by Jonathan Aycliffe. It examines the interplay between memory and the construction of narrative. This research article delves into the fascinating realm of memory and its profound influence on human consciousness through the novel. It explores how memory can create an imaginary experience, allowing the protagonist to briefly revisit a past that haunts his present and might alter his future. Moreover, the article delves into the intricate operations of cultural collective memory associated with the church, shedding light on its ability to articulate the complex relationship between the past, present, and future within the human psyche. By investigating these themes, this research contributes to a deeper understanding of the intricate workings of memory and its role in shaping human consciousness.

A systematic review of models for the prediction of corporate insolvency

N. Sathyanarayana, Raja Narayanan — Mon, 17 Jun 2024 00:00:00 +0000

A thorough evaluation of recent developments in bankruptcy prediction models developed specifically for listed firms in India is presented in this research. Beginning with influential contributions from the evolution of bankruptcy prediction methodologies is traced through various statistical techniques, including logistic regression, neural networks and discriminant analysis. Recent innovations, such as duration models, partial least squares with support vector machines, and efficiency-driven distress prediction, are discussed in the context of their applicability to the Indian market. The paper highlights the significance of early warning systems in the wake of bankruptcy reforms in India and examines the regulatory framework's impact on bankruptcy prediction modeling. And it goes further into how macroeconomic variables and industry-specific variables might make bankruptcy models better predictors. Limitations such as small sample sizes, short time periods for samples, and the incorporation of qualitative data into predictive models are highlighted in the study as areas that require further investigation in future studies. Overall, this paper provides valuable insights for academics, practitioners, and policymakers involved in bankruptcy prediction and risk management within the Indian corporate sector.

Quality of Life in Unemployed teachers of a UGEL in North Lima

Wed, 24 Apr 2024 00:00:00 +0000

Most people with chronic diseases such as arterial hypertension, consider it as a disease that will not unbalance their lifestyle, although over time the quality of life will decrease if they do not perform their adequate therapeutic regimen, so the research objective is to determine the quality of life in unemployed teachers of a UGEL in North Lima. It is a quantitative, descriptive and cross-sectional study, with a total population of 127 participants in the study, who answered a virtual survey of sociodemogracios aspects and the questionnaire of quality of life in arterial hypertension. In their results we observed that 8.7% (n=11) had a high quality of life, 79.5% (n=101) median quality of life and 11.8% (n=15) low quality of life. Therefore, it is concluded that the promotion of the quality of life of patients with hypertension should be taken into account, because there are multiple factors that can put the person at risk if the disease has high levels.

Enhancing Public Safety: A Real-time Social Distance Monitoring with Computer Vision and Deep Learning

Sivakumar Karuppan, Krishnaprasath V T, Pradeep V, Sruthi S Madhavan — Sun, 10 Mar 2024 00:00:00 +0000

In spite of the fact that the COVID-19 epidemic has lately afflicted millions of individuals all over the world, the number of people who are being affected is continuing to climb. In response to the ongoing pandemic scenario throughout the world and in an effort to stop the virus from further disseminating, a number of governments have initiated a number of groundbreaking preventative measures. One of the most effective methods for warding off the spread of infectious diseases is maintaining adequate social distance. In the context of a real-time top view environment, the purpose of this study survey is to propose the use of a social distance framework that is built on deep learning architecture as a preventative strategy for maintaining, monitoring, managing, and lowering the amount of physical connection that occurs between individuals. In order to identify people in the photographs, we made use of a number of different deep learning detection models, including R-CNN, Fast R-CNN, Faster-RCNN, YOLO, and SSD. Because of the significant differences between the top and bottom views of a human's appearance, the architecture was trained using the top view human data set. After that, the Euclidean distance is utilised to derive a pair-wise distance estimate between the individuals depicted in a picture. Using the information obtained from a detected bounding box, one may determine where the centre point of a single detected bounding box is located. A violation threshold is constructed, which is determined by the information of a person's distance to a pixel and determines whether or not two people are in breach of social distance.

Training Management in the Work Performance of Employees at Samar Ingenieros Sac - 2022

Polo-Gonzales S, Samar-Ventocilla J, Meneses-Claudio B, Zarate-Ruiz G — Mon, 01 Jan 2024 00:00:00 +0000

En los últimos años la gestión de capacitación permitió el buen crecimiento y mejora del rendimiento de los trabajadores, esto significa que el conjunto de actitudes como aptitudes, es la capacidad de aclimatarse a estos tipos de cambios que se genera en el trabajo según las circunstancias, de manera que ciertas organizaciones al no realizar dichas capacitaciones, en ciertas ocasiones el desenvolvimiento por parte de los trabajadores no es la correcta, ya que en muchas ocasiones no tienen conocimiento.

En el ámbito internacional Castañeda de Armas et. al (2018), menciona que en cuba se realizó la investigación relacionada a la realización de las estrategias de capacitación que se pondrán en marcha, para puedan mostrar resultados y el cambio que generaría sobre el desempeño laboral en las organizaciones. Ya que, esto puede beneficiar al máximo, mejorando los bienes de aprendizaje de los empleados y el área de recursos humanos.

De acuerdo, al ámbito Nacional, Parra-Penagos et. al (2016) indica que todas las empresas tienden a estar obligados a hacerse cargo de las capacitaciones que recomiendan las áreas de recursos humanos, de manera que, esto será como un método de re-potencialización dentro del desempeño de cada trabajador, mejorando su eficiencia, llegando esto a dar resultados positivos a la organización. Asimismo, nos indican que el propósito de la capacitación es entender las funciones de ciertas actividades específicas que se encuentran derivadas al desempeño laboral.

A nivel local, la empresa tiene ciertos problemas con los trabajadores directamente. Debido a que en diversas ocasiones exigen que realicen trabajos que los colaboradores no tienen conocimiento, esto sucede porque, la empresa no invierte en gestionar capacitaciones, para poder tener actualizado a todos sus colaboradores, para que de esa manera su desempeño laboral sea el adecuado y esperado por la empresa. Esto en más de una vez provoco la renuncia de los trabajadores que no se sentían cómodos dentro de la organización. No obstante, mediante este trabajo planteando el siguiente objetivo, la mejora de la gestión de capacitación y esto pueda dar un buen desempeño laboral por todos los colaboradores.

La presente investigación se realizó con el objetivo de determinar cómo la implementación de la gestión de capacitaciones mejora el desempeño laboral de los trabajadores en la empresa SAMAR INGENIEROS SAC durante el periodo 2019 – 2021

AI-powered financial operation strategy for cloud computing cost optimization for future

Mageshkumar Naarayanasamy Varadarajan, N Rajkumar, C Viji, Mohanraj A — Wed, 17 Apr 2024 00:00:00 +0000

Cloud computing has revolutionized the way groupings feature by way of manner of presenting scalable and flexible infrastructure services. However, dealing with cloud cost efficiently remains a project, as cloud environments emerge as more complex. This paper proposes an AI-powered financial operation approach for optimizing cloud computing cost. The method leverages AI algorithms to research utilization patterns, forecast future calls, and advise price-saving measures. By imposing this approach, agencies can acquire massive financial savings at the same time as ensuring the nice everyday normal performance and scalability in their cloud infrastructure. Cloud computing has obtained massive prominence in commercial enterprise because of its capacities. However, the effective management of cloud cost remains a complex agency. However, incorporating automation and Machine Learning (ML) gives a possibility to manipulate and mitigate cloud charges successfully, rendering cloud computing an additional economically viable solution. This study will investigate into the transformative effect of automation and Machine learning cloud cost optimization, providing insights into how companies can harness those technologies to curtail fees on the equal time as addressing ability implementation-demanding situations. As organizations increasingly trust upon cloud computing services for their operations, optimizing the related prices performances into a crucial factor of financial management. This paper proposes an AI-powered financial operation technique for cloud computing fee optimization. The technique leverages tool-reading algorithms to investigate historic utilization patterns, forecast future desires, and perceive capability fee-saving possibilities. It integrates with cloud service providers' APIs to continuously reveal useful resource usage and adjust provisioning ranges dynamically. Additionally, the technique includes anomaly detection strategies to discover inefficiencies or sudden spikes in utilization, permitting proactive fee management. Through the implementation of this AI-powered technique, businesses can gain huge discounts in cloud computing costs even while preserving the finest overall performance and scalability.

Universal design approach to learning: a theoretical-practical model for quality inclusive education, seen from the Postgraduate and Continuing Education Directorate of the State University of Bolívar

Tue, 30 Apr 2024 00:00:00 +0000

Universal Design for Learning is an educational approach that seeks to provide all teachers, regardless of their abilities, with an equitable and effective learning experience. This model is based on the premise that diversity is the norm in the classroom and that students have different learning styles, abilities, and needs. Therefore, it focuses on creating flexible learning environments that can meet the needs of all students. It is based on theories, academic-scientific research, each learning environment and neuroeducation, in order to generate inclusivity in the actors of the process. In this sense, it integrates and covers the educational process, from planning to the evaluation of learning, including the reinforcement process, with the aim that teachers take advantage of various learning opportunities, in the same way that it makes teachers more flexible. the micro, meso and macro curricular design, in order to minimize limitations and unforeseen events in academic execution. Finally, it has potential both in the episteme and in praxis, facilitating academic activity and being aligned with Sustainable Development Goal 4 of the 2030 Agenda, inclusive and quality education is guaranteed, promoting learning opportunities for teachers of the education programs. master's degree in the Postgraduate and Continuing Education Department of the State University of Bolívar.

eHyPRETo: Enhanced Hybrid Pre-Trained and Transfer Learning-based Contextual Relation Classification Model

Jeyakodi G, Sarojini B, Shanthi Bala P — Sun, 12 May 2024 00:00:00 +0000

Introduction: Relation classification (RC) plays a crucial role in enhancing the
understanding of intricate relationships, as it helps with many NLP (Natural Language
Processing) applications. To identify contextual subtleties in different domains, one might
make use of pre-trained models.
Methods: To achieve successful relation classification, a recommended model called
eHyPRETo, which is a hybrid pre-trained model, has to be used. The system comprises
several components, including ELECTRA, RoBERTa, and Bi-LSTM. The integration of pre-
trained models enabled the utilisation of Transfer Learning (TL) to acquire contextual
information and complex patterns. Therefore, the amalgamation of pre-trained models has
great importance. The major purpose of this related classification is to effectively handle
irregular input and improve the overall efficiency of pre-trained models. The analysis of
eHyPRETo involves the use of a carefully annotated biological dataset focused on Indian
Mosquito Vector Biocontrol Agents.
Results: The eHyPRETo model has remarkable stability and effectiveness in categorising, as
evidenced by its continuously high accuracy of 98.73% achieved during training and
evaluation throughout several epochs. The eHyPRETo model's domain applicability was
assessed. The obtained p-value of 0.06 indicates that the model is successful and adaptable
across many domains.
Conclusion: The suggested hybrid technique has great promise for practical applications
such as medical diagnosis, financial fraud detection, climate change analysis, targeted
marketing campaigns, and self-driving automobile navigation, among others. The eHyPRETo
model has been developed in response to the challenges in RC, representing a significant
advancement in the fields of linguistics and artificial intelligence.

Finite Element Modeling to Predicting Rutting in Flexible Pavements under Overloading

Zainab M. Aljaleel, Nahla Y. Ahmed, Yahya K. Atemimi — Sat, 01 Jun 2024 00:00:00 +0000

Road infrastructure is seriously threatened by heavy vehicle overloading, causing substantial damage, particularly rutting. This study uses advanced finite element analysis (FEA) techniques to improve pavement performance prediction. Six models were created using the ABAQUS/CAE program to evaluate the rutting performance of flexible pavement under overloaded conditions. These models simulated the existing pavement design and a proposed design, each subjected to three axle load configurations: single axle-single tire, tandem axle-dual tire, and tridem axle-dual tire. The research includes conducting surveys on traffic volume and axle load, to precisely evaluate the current traffic situation and identify problems associated with overloading. Core extractions enabled a thorough comparison of the existing pavement's thickness, density, and material characteristics with the proposed design. Based on these findings, a new design for a flexible pavement was developed, focusing on enhancing its ability to withstand rutting. The analysis determines that the existing pavement cannot withstand overloading vehicles, necessitating a 6.67% increase in the thickness of the surface, a 37.5% increase in the thickness of the binder, a 50% increase in the thickness of the base, and a 32% increase in the thickness of the subbase layers. Significantly, these modifications and improvements to material qualities were discovered to effectively decrease rut depth, an important factor in the durability and performance of pavement.

Enhance the properties of the stainless steel Solar basin by using new ceramic coatings

Elham A. majeed, Hayder K. Rashid — Mon, 03 Jun 2024 00:00:00 +0000

Solar energy is increasingly being used as a renewable energy source in water analysis, energy devices, treatment systems, data logging, and analytical instruments, providing sustainable and cost-effective solutions. A 316 stainless steel sink was utilized with the aim of enhancing its thermal insulation properties. Ceramic materials such as mullite(3Al2o3.2sio2), titanium dioxide(Tio2) , and magnesium oxide(mgo ) are identified as effective insulating agents for improving the insulation processes of a stainless steel 316 basin.Mullite powder is added in weight ratios of 0.7%, 2.21%, 3.79%, and 3.78%. Titanium dioxide is also added in weight ratios of 0.3%, 0.79%, 1.39%, and 0.7%. To enhance the insulation ratio, add 0.6% magnesium oxide to S5. .The coating process involves air-brush painting on the stainless steel sheet to ensure a uniform and durable application. Various tests, including X-ray diffraction(XRD), scanning electron microscopy(SEM),Atomic force microscope (AFM), thermal conductivity measurement, adhesion strength testing, density measurement, coating thickness analysis, evaluation of UV radiation resistance, and porosity determination, are conducted to evaluate the performance and characteristics of the coatings. Thermal insulation was achieved for sample S4, resulting in a thermal conductivity value of 0.231411 W/m•°C, along with an associated increase in pore percentage of 0.88%. Additionally, sample S4 exhibited a lower density value of 1.22 kg/m³, attributed to the incorporation of oxide. In comparison, sample S5, composed of magnesium, exhibited the highest thickness among the remaining samples, measuring (540μm). The project's objective is to create a sustainable and enhanced method for water desalination by leveraging renewable energy sources and advanced insulation techniques incorporating ceramic coatings. This innovative approach aims to decrease energy consumption and minimize environmental repercussions, thereby facilitating the provision of safe drinking water, particularly in regions grappling with water scarcity. Additionally, the project seeks to enhance the properties of a stainless steel 316 basin by reducing thermal conductivity, ultimately increasing the insulation percentage. This endeavor involves harnessing solar energy as a means of achieving these goals.

Review of Behavior Flexural Strengthened RC Beams Using Ultra-High Performance Concrete

Hasan M. Abbas, Majid M.A. Kadhim — Sat, 08 Jun 2024 00:00:00 +0000

The use of ultra-high performance concrete (UHPC) to reinforce existing reinforced concrete (RC) structures in flexure has made great strides in research recently. In addition to creating an experimental archive, the research provided a thorough technical literature review. The effectiveness of UHPC strengthening schemes for RC beams was assessed by examining the effect of size on the flexural strengthening performance of RC members with UHPC. Various dimensions of RC elements were considered in order to understand any possible size-related effects. Factors like material strength and stiffness of the current RC members were considered because they could affect the strengthening's overall effectiveness. To comprehend how the strengthening of the UHPC would impact the overall. In order to find the most successful strategy, various UHPC strengthening configurations were examined. prior to applying the UHPC, the concrete substrate must be prepared. The experimental results from the studies under review indicate that UHPC is a promising reinforcement that can successfully provide RC beams flexural strength. The plain overlay's bending capacity increased by 20% to 60% when the thickness of the UHPC overlay was increased within the range of 30 to 50 mm. In contrast to plain overlays, the reinforced overlay resulted in a notable 40%–85% increase in flexural capacity. To assist stakeholders in making decisions, a cost comparison of UHPC with other strengthening techniques, such as carbon fiber reinforced polymers (CFRP), was provided. The study concludes by highlighting the potential of UHPC as a workable option for flexural strengthening of existing RC structures and offers insightful information for furthering the advancement and application of this technology in the building sector.

Sustainable concrete pavement incorporating RAP and fly ash with self-sensing properties

Mohammed Refat, Ali M. Al-Dahawi, Husam Hikmat Baqir — Tue, 11 Jun 2024 00:00:00 +0000

This research focuses on addressing the problem of utilizing high-value sustainable materials in the creation of self-sensing concrete pavement. The study specifically explores the incorporation of reclaimed asphalt pavement (RAP), fly ash, and silica fume in a single mix design to achieve sustainability objectives. In the previous work by the authors, laboratory experiments were conducted to determine the optimal proportions of RAP, fly ash, and silica fume, with a focus on achieving desired mechanical properties. Mechanical tests, encompassing compressive strength, flexural strength, and indirect tensile strength, were conducted within this framework to assess the performance of the concrete mixture. The selected concrete mix in this study incorporated 40% RAP as a replacement for virgin aggregate, a fly ash-to-cement ratio of 0.8, and the addition of silica fume at 8% relative to the weight of cementitious materials. Structural health and durability were monitored in real time by embedding two electrodes within the concrete matrix. The results highlighted the significant impact of adding RAP, fly ash, and silica fume on the mechanical properties of the hardened concrete. The optimized combination design indicated improved strength and self-sensing behavior, which was related to the beneficial impacts of silica fume and fly ash on mechanical and self-sensing capabilities. This research contributes to the advancement of sustainable and intelligent infrastructure by demonstrating the feasibility of integrating recycled materials and self-sensing technology into concrete pavement construction. Additionally, the study extended its investigation to evaluate the performance of sustainable concrete under dynamic loads using ANSYS analysis. The investigation, which was performed on a structure with dimensions of 21 meters in length and 3 meters in width, observed that the use of sustainable materials improved the mechanical behavior of the structure under moving loads.

Dimensions of responsible tourism and quality of life

R.A. Dhilipan Rajha, G. Rajini — Thu, 13 Jun 2024 00:00:00 +0000

Responsible tourism consists in undertaking such activities that enable achieving growth in a way that either does not destroy the existing environment and protects the culture, history, heritage, and achievements of local communities. Besides, the attainment of responsible tourism requires careful management of tourists’ and residents’ behaviors to prevent deleterious effects on the environment, sociocultural setting and visitor satisfaction. This paper is aimed to evolve the factors influencing Dimensions of Responsible tourism and to validate Quality of Life (QOL). The study is made with selected 3 Districts in Tamilnadu respectively Madurai District, Tanjore District and Kanniyakumari District. The respondents are the residents who are located in the three districts nearing tourism spots.250 Questionnaires were distributed to the respondents and only 225 respondents returned the full filled questionnaire. Through IBM SPSS the validity construction is ensured through the Percentage analysis, Descriptive Analysis and Confirmatory factor analysis. Reliability is measured with the consistency of each item score. These tests are guaranteed by representative samples and Convenience sampling method is used to analyse the study. Tourism can have both positive and negative impacts on the QOL of local communities. In general, the domains of QOL that are perceived to be positively affected are the economy, employment opportunities, community pride, cultural exchange, and availability of facilities.

Operational excellence (OpEx) through entrepreneur’s strategic business decision making and emotional contagion in the service industry

Marirajan Murugan, M.N. Prabadevi — Thu, 13 Jun 2024 00:00:00 +0000

Petroleum products play a critical role in the global industry. India is the third most significant crude oil importer in the world, of which 22% from Russia in October 2022. Emotional Contagion refers to an entrepreneur influencing the emotions and behaviours of another entrepreneur and employees in the company to achieve operational excellence. Entrepreneurs' decision-making styles vary from analytical, conceptual, directional, and behavioural to attain the corporate goal. The utilitarian theory states that entrepreneurs, as utilitarians, lead the company with a highly ethical, moral, good environment & culture and, at the same time, target for the company's profit. We have considered twenty five companies from India and the Middle East region to study Entrepreneur's strategic business decision styles and emotional Contagion. We have used a Stratified sampling technique to collect data. We have used JAMOVI for the data analysis. This paper examines entrepreneurs' strategic business decision styles and emotional Contagion toward Utilitarianism in the Oil and Gas service industry. It provides positive and negative effects for which we have recommended that the government and MSMEs must focus on providing psychological training to entrepreneurs to achieve the highest positive emotional contagion, safe and healthy organizational culture positively.

Human improvement of the basic healt team in the care of cancer patients with the use of self-expanding esophageal prostheses

Thu, 20 Jun 2024 00:00:00 +0000

Introduction: esophageal cancer is among the top ten causes of death from cancer. Cuba is in accordance with technological development in the placement of self-expanding esophageal prosthesis as the therapeutic of choice for patients with inoperable esophageal cancer. The Basic Health Team in its community health care must have the necessary elements to guide and treat patients and family members in order to avoid complications and improve quality of life until death. Objective: to characterize the human improvement of the Basic Health Team in the care of cancer patients with the use of self-expanding esophageal prosthesis. Methods: an observational, descriptive, cross-sectional study was carried out. The period included for carrying out the research was between January 2019 and March 2020. The universe was made up of 33 Basic Health Teams that provide care to the population belonging to the Mantilla polyclinic. Results: knowledge insufficiencies were identified in the dimensions human behavior, improvement, scientific-investigative, which has an impact on the human improvement variable. Conclusions: the human improvement of the Basic Health Team in the care of cancer patients was characterized with the use of self-expanding esophageal prosthesis necessary for the development of educational strategies based on technological and social demands.

Resilience in adolescent schoolchildren in a public school in Lima

Wed, 24 Apr 2024 00:00:00 +0000

This study evaluates resilience in adolescents by addressing different key factors for relevance in their school environment, which is why the objective of the research is to determine resilience in adolescent schoolchildren from a public educational institution in Lima. It is a quantitative, descriptive, cross-sectional and non-experimental study; conformed by a population of 495 participants who filled out a survey of sociodemographic data and the Connor and Davidson resilience scale. In their results, 45.5% (n=225) of the schoolchildren had high resilience, 46.1% (n=228) medium resilience and 8.5% (n=42) low resilience. In conclusion, it is advisable to formulate different strategies that allow the implementation of development programs on socioemotional skills in adolescents.

Regional Educational Policies and Critical Interculturality in Rural Areas of the Province of Abancay - Apurímac, 2023

Wed, 06 Mar 2024 00:00:00 +0000

The research work was carried out with the aim of analyzing regional educational policies and critical interculturality in secondary education in rural areas of the province of Abancay, department of Apurímac, 2023. The research is basic, qualitative and design-based, phenomenological-hermeneutic. The study population consisted of specialists, principals, teachers and students of the secondary education level of rural areas of the UGEL (Local Educational Management Unit) Abancay and the sample consisted of: 4 specialists from the DREA (Regional Directorate of Education of Apurímac), 3 specialists from the UGEL Abancay, secondary level, 6 rural education teachers from the EBR (Regular Basic Education), secondary school level, 6 directors and 6 students from rural schools in the province of Abancay. The following data collection instruments were used: semi-structured interview guide, documentary review form and non-participant observation guide. From the research it is concluded that the PERs (Regional Educational Policies) of Apurimac do not implement strategies of CI (critical interculturality) and the educational communities of rural schools do not know about the current PER (Regional Educational Project), but the native students demand the vindication of their language in educational and social processes

Community resilience: the case of Asunción Ixtaltepec Oaxaca

Wed, 13 Mar 2024 00:00:00 +0000

Community resilience is the process by which the people who make up a population develop cognitive, socio-affective and behavioral mechanisms to face events that disrupt their balance. For instance, natural catastrophes, economic crisis or the presence of social factors, such as violence, which otherwise drive people to deploy personal and collective resources in order to mitigate its impact. The objective of the study was to analyze how the residents of the town of Asunción Ixtaltepec in the state of Oaxaca developed resilient ways to face the psychosocial consequences of the 2017 earthquakes, for which a Community Action Intervention Program was developed for the benefit of 420 people, whose age range was from 15 to 69 years. The data obtained reports that 81% of the people developed community resilience, considering as main tools: a) favorable cognitive assessment about strengthening cohesion and social ties among the population, b) development of tranquility and psychosocial harmony as part of the recognition of collective actions to reduce the impact of seismic activity in the region and, c) the promotion of actions to reduce the psychological and psychosocial impact of seismic events.

Severe hypocalcemia, an atypical presentation after thyroid cancer surgery, about a case

Tue, 09 Apr 2024 00:00:00 +0000

Hypoparathyroidism, secondary to postoperative thyroid cancer, is characterized by hypocalcemia, hyperphosphatemia, and hypercalciuria due to low concentrations of parathyroid hormone. The prevalence in the United States is 23 to 37 cases/100,000 people/year. Complications develop in 78 % of cases after cervical surgery; 75 % resolve spontaneously in the first 6 months, while the remaining 25 % resolve permanently; no incidence data were obtained in Bolivia. Treatment requires long-term oral calcium with citrate, calcium carbonate, and vitamin D analogs (calcitriol and alfacalcidol); in complex cases, calcium can be used intravenously (calcium gluconate); Some patients do not respond to standard treatment. In this way, the unusual clinical case of a 38-year-old male patient with a history of papillary thyroid carcinoma, post-total thyroidectomy, with a clinical picture of 48 hours of evolution characterized by pain at the cervical level, associated with a Trosseau sign, is presented. (+) and frank signs of respiratory distress with laryngeal spasm, which required management in the intensive care unit (ICU), correction of severe hypocalcemia, with calcium gluconate IV and calcium plus vitamin D PO; presenting an optimal evolution, graduating on the fourth day; He was subsequently discharged from the hospital two weeks later in good general condition.

Ergonomic risks and musculoskeletal disorders in surgeons

Mon, 15 Apr 2024 00:00:00 +0000

ABSTRACT
Ergonomic risks in surgery can have a significant impact on the musculoskeletal health of surgeons, increasing the prevalence of musculoskeletal disorders (MSDs) and affecting their ability to work effectively and safely. This is compounded by the introduction of technologies such as video-assisted surgery and robotics, which although offer advantages in precision, can increase fatigue and muscle stress. Additionally, different surgical specialties face unique challenges, such as prolonged postures and delicate movements in neurosurgery, and manipulation of heavy instruments in orthopedic surgery. It is essential to increase ergonomic awareness among surgeons and provide specific training during their training, as well as improve the ergonomic design of operating rooms and select ergonomic surgical equipment. Continued research and intervention evaluation are critical to developing effective TME prevention strategies in surgeons.

Musculoskeletal disorders and ergonomics in stomatologists in the municipality of Cotorro

Tue, 30 Apr 2024 00:00:00 +0000

Introduction: Dentists, due to their work, are prone to suffer problems in the locomotor system, a situation that can sometimes limit their work performance. These problems can cause anything from mild musculoskeletal symptoms to incapacity, putting not only their health at risk but also severely reducing their professional performance. Methods: A cross-sectional descriptive observational epidemiological study was carried out with a sample of 35 stomatologists of both sexes. The stomatologists' data were recorded in self-recognition surveys and data collection forms, in order to group the individual, biomechanical and ergonomic risk factors present in the sample. Results: The female sex predominated with 71.4%, as well as the age group 35 to 44 years (42.8%). Musculoskeletal disorders prevailed in the female sex with 62.8%, the most affected specialty, the EGI with 42.9%, stomatologists with 11 to 20 years of work (37.1%). Predominant was the preference for seated work (74.3%) and the use of inadequate postures (65.7%). The cervical and sacrolumbar areas were the most affected 85.7% and 57.1% respectively. Conclusions: A close relationship was found between inadequate postures and non-ergonomic dental units with the occurrence of musculoskeletal disorders in the stomatologists in the sample.

Leadership Intervention: Strategies and Outcomes in Public Education of Tambopata

Mon, 20 May 2024 00:00:00 +0000

The research aimed to determine the influence of the executive leadership workshop on the educational quality of public educational institutions in Tambopata - Madre de Dios, 2023. This purpose was achieved, as the general hypothesis was validated, supporting that the executive leadership workshop positively influences the educational quality of public educational institutions in Tambopata - Madre de Dios, 2023. This is based on the Mann Whitney U test, since a significance of p-value 0.000 < 0.05 was reached; therefore, it is evident that the educational quality is favored by the executive leadership workshop. Guiding leadership is essential to promote and improve the quality of education. Educational leaders, such as school principals or department heads, are responsible for establishing a clear vision, motivating their teams, and promoting an environment conducive to learning and student development, which is achieved through leadership that impacts the quality of education in a certain way, establishing a shared vision and setting clear and achievable goals for the educational institution.

On the Post-Heat Behavior of Cement Mortar Containing Mechanically Modified Ground Coal Bottom Ash

Fri, 31 May 2024 00:00:00 +0000

Coal is widely recognized as a significant and essential fuel source due to its capacity to undergo combustion and produce heat in many different regions worldwide. Over the course of many decades, there has been a notable rise in power usage among individuals, thus resulting in an upsurge in the utilization of coal. The growth of mankind has a parallel rising trajectory with the utilization of cement in the building industry, as well as a corresponding rise in cement manufacturing. These two phenomena significantly contribute to the escalation of carbon dioxide (CO2) emissions and the improper disposal of coal ash, both of which pose significant environmental hazards. Coal-fired thermal power plants generate many waste products from industry, including coal-bottom ash (CBA), which may be effectively used in the production of mortar or concrete. This practice not only promotes the adoption of sustainable construction materials but also encourages the utilization of these wastes. In contrast, it is worth noting that cement manufacture yields a significant quantity of carbon dioxide emissions, so exerting a detrimental influence on the ecosystem. The reduction of environmental deterioration may be achieved by substituting cement with waste products. The substitution of Portland cement with reutilized coal combustion products has the potential to provide significant environmental and infrastructural advantages. This study presents an experimental investigation into the post-heat performance of cement mortars including ground coal bottom ash (CBA). To achieve this objective, an investigation was conducted to assess the strength qualities, residual strength, and mass losses of mortar specimens. These specimens comprised varying proportions (10%, 20%, 30%, and 40%) of CBA as a substitute for cement. To perform the heating procedure, samples were subjected to temperatures of 200°C, 400°C, and 600°C, which corresponded to room temperatures. The findings indicate that the use of ground CBA up to a proportion of 20% yields mortar with the maximum value of compressive strength compared with the control sample. The use of a substantial amount of ground CBA has been shown to produce the most significant reduction in mass and decrease in strength when subjected to high temperatures. As a result, the residual strength of concrete experiences a decrease of 33.65% when exposed to a temperature of 600°C in conventional concrete while for CBA in concrete decreases around 40.9% . In general, the integration of ground CBA alternatives as an alternative to cement would result in a decrease in the need for the manufacture of cement and the environmental pollution associated with CBA discharge.

Optimum Load of the Non-Uniform Heat Flux on Thermoelectric Generator (TEG) with Plate-Pin Heat Sink

Huseen S. Yousif, Saad M. JALIL — Mon, 03 Jun 2024 00:00:00 +0000

The current computational prediction investigated the effect of Non-Uniform Heat Flux (NUHF) patterns on Thermoelectric Generator (TEG) performance. It is studied the impact of changing resistance on the generated power under Uniform Heat Flux (UHF). The dissipated heat from the heat sink of electronic devices (e.g. CPU) through the TEG model, which was heated by NUHF and cooled by convection, was estimated. These devices tend to generate higher heat levels at their core, which gradually decreases toward the boundaries. In order to maintain an appropriate temperature for these electronic parts. A thermoelectric device, which includes a generator, is employed with a pin fin plate heat sink mounted on its back side to dissipate the heat. A numerical simulation was performed to determine the generated power and heat dissipation in the heat sink. When comparing UHF to NUHF, it is clear that the impact on generated electrical power is minimal and can be ignored. In addition, the findings showed that the difference between the NUHF and UHF is negligible and does not exceed 1%. The power generated in all cases is around 0.1 W and 4.6 W as a heat dissipation. It is found that the optimum load for the current suggested model is 3 Ohm. Also, there is a noticeable enhancement in the generated power by using the suggested heat sink reached up to 30% compared to the regular one.

Forced convective rate and pressure drop through a packed annulus: a numerical simulation

Noor Sabah Falieh, Saad Najeeb Shehab — Wed, 05 Jun 2024 00:00:00 +0000

Porous materials are used in engineering and industry due to their heat transmission qualities. This study examined forced convection flow through an annular tube packed with sphere balls of various materials and sizes using numerical analysis. The sphere balls were permeable. Ceramic, plastic, and steel with spherical diameters of 3, 5, and 6 and porosity of 0.4 were tested for heat dissipated and fluid flow. Also, test the impact of steel balls of diameter 6mm with 0.6 and 0.8 porosity. The numerical simulation results are used to analyze the forced convection and fluid flow parameters of a three-dimensional annular tube with continuous heat flux in the Reynold number range (5000-14000). Steel balls had an 80% higher heat transfer coefficient than annular tubes without porous mediums. The simulation showed that inserting the porous media increased annular tube pressure loss. The maximum heat transfer coefficient improved by about 80% when the spherical diameter is 3 mm. Also, the result illustrated the heat transfer coefficient of steel balls Increased by about 79%, 69%, and 49%, with 0.4, 0.6, and 0.8 respectively

Multi Responses Optimization of Wire Electrical Discharge Machining (WEDM) Parameters of Tool Steel Using Grey Relation Analysis

Huda Anwar, Saad K. Shather, Waqass S. Khudhir — Sat, 08 Jun 2024 00:00:00 +0000

The aim of this work is to study the effects of several wire electrical discharge machining (WEDM) process parameters, such as the servo voltage (SV), the pulse on time (TON), and the pulse off time (TOFF) on the surface finish (SR) and the kerf width (KW) of stainless steel 304 as a workpiece material. A multi-responses optimization approach based on Grey relational analysis has been designed, and it was discovered that the main affecting factor is the pulse on time followed by the servo voltage. According to the data, the grey relation analysis (GRA) grade for the second trial, including (a servo voltage of 14V, a pulse on time of 100µs, and a pulse off time of 45µs), was the optimum combination of settings that may concurrently optimize all of the specified response qualities. By utilizing the regression analysis, the mathematical equations illustrating the link between the input parameters and the responses have been established. In particular, the findings of this article will assist manufacturing engineers in selecting an optimal set of process parameters for machining stainless steel (SS304) grade.

Influence of yoga practices on balance and co-ordination among pubertal tribal students

K. Sobha, P. Nandhini — Tue, 11 Jun 2024 00:00:00 +0000

This study's goal was to ascertain how yoga practices affected the balance and collaboration of ethical pupils in their pubertal times. Thirty womanish scholars from Kalpetta, Wayanad, Kerala, India's Government Advanced Secondary academy were chosen as subjects to negotiate the study's pretensions. They were between the periods of 12 and 17. Two equal groups of fifteen actors each were aimlessly allocated to the named subjects. Group II served as the control while Group I rehearsed yoga. For twelve weeks, the exercise plan be conducted every six days of the week. The actors' balance along with collaboration were assessed both ahead and after the training session. The power simple collaboration test was used to measure collaboration, while the balance ray test was used to estimate balance. The independent" T" test was the statistical system employed in this disquisition. After rehearsing yoga for twelve weeks, the study's findings show that the pubertal ethnical scholars' balance and collaboration significantly bettered.

Investigating the influence of internal corporate social responsibility (ICSR) on work commitment and performance of employees of automobile companies in chennai

K.P. Indhuja, M. Chandran — Wed, 12 Jun 2024 00:00:00 +0000

As the automobile sector continues to evolve, the dynamics of employee engagement, commitment, and performance become crucial considerations for sustained success. Understanding how internal CSR practices influence employee behaviours and outcomes is essential in navigating the unique challenges and opportunities within this dynamic sector. This research seeks to explore these dimensions, aiming to bridge the existing knowledge gap and provide valuable insights for both academia and industry practitioners.
This study employs an exploratory and descriptive approach, utilizing a mixed research methodology that integrates both qualitative and quantitative methods. The population of employees working in Chennai's automobile companies is the focus of the study. A Convenience Sampling method was employed to select a sample of 150 Employees belong to Automobile Sector from various parts of Chennai district. A Structured Questionnaire was used to gather primary data. The researcher employed a combination of descriptive and inferential statistical techniques to analyse the collected data.
The study found that Internal CSR Practices have strong, positive and high relationship with Work Commitment and Performance of employees working in Select Automobile Companies. Male Employees have perceived more regarding the different Internal CSR Practices, have more positive Work Commitment and Performance of employees than their counter-part. ‘Labour Practices’ has stronger influence and ‘Recognition and Rewards Programs’ practice has weaker influence and ‘Diversity and Inclusion Initiatives’ Practice has no discernible impact on employees' performance in Select Automobile Companies. The study contributes to the ongoing discourse on the strategic internal CSR practice implementation in the automobile industry, offering actionable recommendations for companies to enhance employee commitment, and performance.

Influence of reference groups of brand connectivity of consumers

N. Vimaladhevi, M. Thaiyalnayaki — Fri, 14 Jun 2024 00:00:00 +0000

Purpose: The main aim of the study is to find the influence of reference groups on the factors of brand connectivity
Design/ Methodology: The study depends upon the primary data obtained through a well structures questionnaire. The researcher applied convenience sampling method to obtain 389 responses from all the 15 zones of Chennai city and applied confirmatory factor analysis, structural equation model, linear multiple regression analysis and one-way analysis of the variance.
Findings: It is found that the primary reference group comprises family members with intimate connection and close friends with a dominating type whereas the secondary reference group consist of office colleagues, professionals in the office and superiors and subordinates
Practical Implications: The present research is focusing on the predominant reference groups frequently influences the changing behaviour of consumers and their brand choice behaviour, the factors directly determine the existence of profound brand connectivity among the consumers and to know the empirical relationship between reference group influences on brand connectivity perception of consumers in the study area.
Originality/Value: The study focus on measuring the impact of reference group of customers in consolidating the brand connectivity between customers and brands on the basis of emotional attachment and brand performance and satisfaction.

High response speed and accuracy real-time mask-detection system for chinese campuses

Baitong Zhong, Johan Bin Mohamad Sharif, Sah Salam, Chengke Ran, Zhuoxi Chen — Fri, 21 Jun 2024 00:00:00 +0000

Due to the increasing number of students studying in universities globally, the need for effective and timely safety measures has become more critical. This study aims to provide a high tech monitoring system that can help universities realize the security they need. The main functions are mask detection. Among them, mask detection is mainly used to determine if students are wearing the right masks. This paper also carried out algorithm provinciation for two kinds of detection.In the mask detection function, YOLOV4-Tiny model is used, and SPP is added and improved on this basis. And replace the feature enhancement network with the path aggregation network (PAN). After the experiment, the accuracy was improved, Precision (P) and Recall (R) increase by 1.61% and 4.14%.and the response speed of mask detection was improved(The FPS reached 98.67) too. It greatly improves the efficiency of the system and provides security for students.

Location based Access Privileges and Controlling the Clustering in Sustainable 5G Challenges

R. Manivannan, S. Manikandan, R. Vadivel, S. Sophana Jennifer — Wed, 03 Jan 2024 00:00:00 +0000

Considering the new gathering of enlisting and communicated interchanges propels with the immense advancement of the Internet, the Web, and Adaptable Correspondences, the accompanying stage is supposed to be the Convenient Web. The central responsibility of the Compact Web is to satisfy client needs for wherever, at whatever point induction to information and organizations, including Region Based Organizations (LBS). An original LBS management that is relevant to the Flexible Promoting sector is presented in this paper. Numerous Web-enabled terminals will be transported, making the Versatile Web a reality for the vast majority of users. Mobile terminals and/or mobile networks can now pinpoint the terminal's location on Earth with increasing precision. The paper presents a model for collaborating on area scopes with services, an engineering to facilitate the Web-based disclosure of area scopes with services, a map of object handles to one or more contact addresses, and the possibility for a mobile client to select different types of information results for yielding in accordance with their momentum. These key research challenges are essential for advancing the development of LBS and establishing an examination plan for LBS to positively shape the future of our portable data society. These research challenges include issues related to the center of LBS development (such as positioning, displaying, and correspondence), evaluation, and analysis of LBS-produced information, as well as friendly, moral, and behavioural issues that arise as LBS become a part of people's daily lives.

Artificial and Deceitful Faces Detection Using Machine Learning

Balusamy Nachiappan, N Rajkumar, C Viji, Mohanraj A — Mon, 11 Mar 2024 00:00:00 +0000

Security certification is becoming popular for many applications, such as significant financial transactions. PIN and password authentication is the most common method of authentication. Due to the finite length of the password, the security level is low and can be easily damaged. Adding a new dimension to the sensing mode-driven state-of-the-art multi-modal boundary face recognition system of the image-based solutions. It combines the active complex visual features extracted from the latest facial recognition model and uses a custom Convolution Neural Network (CNN) issue facial authentications and extraction capabilities to ensure the safety of face recognition. The Echo function is dependent on the geometry and material of the face, not disguised by the pictures and videos, such as multi-modal design is easy to image-based face recognition system.

Service quality and customer loyalty in a movie theater chain in North Lima, 2022

Mon, 01 Jan 2024 00:00:00 +0000

The current market, in view of the constant changes and globalization, is becoming more and more demanding, so that the quality of service is also becoming more and more demanding; the client of the cinema sector is becoming more and more demanding of new platforms and trends that offer comfort and diversity to the public. In view of this, the present research was proposed to analyze the link between service quality and customer loyalty in a chain of movie theaters in North Lima, 2022. It was based on measuring the level of correspondence between the level of service and the loyalty of frequent customers, in a natural environment, without manipulating the variables, in order to define the behavior of the variables, a statistical analysis was performed. In such a way that the data were collected through a questionnaire applied to 90 customers. The data processing in SPSS allowed to determine a correlation coefficient of 0,685. Therefore, customers highly value the experience during the service offered by the employees during their consumption, considering it as a primary criterion in the decision to repurchase, so that according to the quality received is the customer loyalty

Role of business and education in the development of the national economy: world experience and ways of improvement in Ukraine

Sun, 12 May 2024 00:00:00 +0000

Introduction: Business and education play a critical role in the development of the national economy around the world, and Ukraine is no exception. The development of these sectors affects many aspects of economic growth, and modern world experience provides several important guidelines for improving their role in the Ukrainian context. Methods: This article explores the role of business and education in the context of the national economy development, in particular in the context of Ukraine. The article considers the world experience and best practices relating to the interaction of these spheres, and offers concrete ways of improvement for Ukraine. Results: The article discusses specific actions that can be implemented in Ukraine to improve the participation of business and education in the development of the national economy, including simplifying business processes, stimulating foreign investments, developing innovations, and improving the quality of education, Conclusions: Finally, the implementation of the recommendations developed by the authors will help Ukraine achieve sustainable economic growth and improve living standards.

Studying self-concept in a sample of Peruvian secondary education students: A cross-sectional study

Wed, 24 Apr 2024 00:00:00 +0000

Introduction: Adolescence is a stage of significant physical, emotional, and cognitive changes, where young people face numerous challenges in their daily lives, especially in the educational environment. In this context, self-concept can be a determining factor in how adolescents approach these challenges and meet academic demands.
Objective: To determine the level of self-concept in a sample of Peruvian secondary education students.
Methods: Quantitative, non-experimental, and cross-sectional descriptive study. The sample consisted of 125 students of both genders who were administered the AF-5 Self-Concept Scale, an instrument with adequate psychometric properties. Data analysis was conducted using SPSS version 25 software. A descriptive analysis of the variable and dimensions was performed, focusing on calculating their percentage distributions.
Results: The self-concept of 52% of students was at a regular level, 38.4% at a high level, 5.6% at a very high level, and 4% at a low level. This means that most students recognize some strengths in themselves, but they are also aware of their limitations and areas in which they could improve, a situation that could serve as a solid foundation for working on their personal and academic development.
Conclusions: The level of self-concept characterizing a sample of Peruvian secondary education students was regular. Therefore, it is recommended to implement strategies aimed at strengthening and improving their perception of themselves.

Exploring the Application of Drone Technology in the Construction Sector

Thu, 09 May 2024 00:00:00 +0000

Drone Technology is being used by an increasing number via the development area to improve some of the elements of its operations. Drones have unique competencies that can grow construction projects effectiveness, protection, and affordability. This study examines how drones are presently being used inside the construction zone and the way they could affect construction site online surveying, project control, development monitoring, and safety inspections. The study additionally addresses the difficulties and capacity benefits of incorporating the drone era into production methods. The drone era has a variety of capabilities to change traditional techniques inside the production industry and decorate challenge outcomes. Drone-era software creation has become a recreation-changing trend with many benefits, from more suitable productivity to safer and greater sustainable operations. Drones are being used for some purposes, which include environmental tracking, site online surveying, inspections, and development tracking. This study examines the several uses of drones within the construction sector and talks about how this technology may affect the sector going forward.

Review of the VIII institutional conference of the Bachelor of Nursing degree at the University of Buenos Aires: History and innovation

Tue, 07 May 2024 00:00:00 +0000

Introduction: Nursing is the pillar of the health system that is oriented in a scientific and humanistic way to the care of the person, family, groups, and communities. Qualitative historical-documentary research was carried out whose objective of this article is to describe the historical evolution and innovation in the Bachelor's Degree in Nursing at the University of Buenos Aires (UBA). Nursing acquired its character as a university degree in 1960 and is structured in two cycles. The teaching scenarios of the career are organized in the central academic unit and in a decentralized manner in 16 Nursing Teaching Units distributed in the City and Province of Buenos Aires. The future perspectives and focus on career innovation include promoting scientific research, editorial management and scientific publication, health communication, clinical simulation, telehealth, and advanced education, as well as training in teaching and research careers and continuation in programs of postgraduate programs to all those who work in higher education and optimize the study plan in accordance with national curricular standards, which strengthened the narrative of the topics presented at the VIII institutional nursing conference of the UBA on November 24, 2023.
Objective: to characterize the origins of nursing in Argentina and in the regional context linked to patterns that typify the birth and development of the Bachelor of Nursing degree at the UBA in epoch and contextual terms, highlighting the sociohistorical and institutional contributions both in the unit central academic center and in the nursing teaching units where the program operates, crystallizing the integrative dimensions that work in university life.
Method: Qualitative historical-documentary research. The research methods used were both theoretical and empirical. The theorists facilitated fulfilling the epistemological function of the conceptual interpretation of the information, which were: Analytical-Synthetic; Deductive-Inductive and Historical-Logical:
Development: a dialectical, discursive sequencing and a narrative of events that appeal to organizational values or define in a sense attribute of the reference institution that anchors in amalgamation with the mission and vision of the Bachelor of Nursing degree at the UBA were programmed.
Conclusions: The process of making the proposal programmed for the VIII institutional day of the Bachelor of Nursing degree at the UBA was enhanced as in a tessellar network, as it represented an organizational, operational and collaborative logic that highlighted the unity in action, guided by the leadership and direction of the course direction and with notable support in terms of the presence of prominent authorities from the House of Higher Studies itself, the Ministry of Health of the Nation and the Autonomous City of Buenos Aires, of disciplinary organizations: Argentine Nursing Federation, Nursing Association of the Federal Capital, Association of University Schools of Nursing of the Argentine Republic, Argentine Nursing Networks, career directors of local universities, as well as the UBA educational community made up of students, teachers, graduates, directors, coordinators of headquarters, areas and commissions that the convergence space selected for the occasion has flourished in the imposing Aula Magna “José Arce”, with a spirit of joy commemorating on such an occasion Nursing Day in Argentina, as an anniversary declared of interest by the race managers, focused on history and innovation.

Third molars and development of recurrent headaches and neck pain

Sat, 25 May 2024 00:00:00 +0000

Introduction: Headaches and neck pain are common symptoms, which are usually managed effectively with conventional treatments. However, in some cases, its resolution is prolonged, leading to chronic problems that affect well-being and autonomy, also decreasing the quality of life of the individuals who suffer from them. Although there is a high recurrence of symptoms without being resolved, in short, the relationship between headache and neck pain with the
stomatognathic system and specifically the presence of third molars has not yet been investigated in depth.
Objective: Determine the relationship between the presence of third molars and the development of recurrent headaches and neck pain.
Methods: The headache perception questionnaire and the cervical disability index were applied to 30 dental patients with the presence of third molars, both symptomatic and asymptomatic.
Results: It was found that 30% of the patients had erupted third molars, 20% retained and 50% extracted. Most of the participants were between 18 and 25 years old. Jaw pain associated with headache was identified, triggered mainly by chewing, with a sensation of pressure, intermittent and of moderate intensity. As for neck pain, it did not significantly affect daily activities and manifested with moderate intensity. Correlation analyzes showed a p value of 0.551 for headaches and 0.009 for neck pain.
Conclusions: The condition of the third molars does not influence the appearance of headaches, but it does influence the appearance of recurrent neck pain.

Effects of steel reinforcement ratios on the flange effective width for reinforced concrete T-beams casting with recycled coarse aggregate

Ali Mohsin Razooq, Eyad Kadhem Sayhood, Ali Sadiq Resheq — Tue, 28 May 2024 00:00:00 +0000

Concrete waste in large quantities has caused environmental damage and requires landfilling places and effort. Therefore, concrete waste has been recycled, and new concrete has been produced, which is called recycled aggregate concrete (RAC). In this work, study the behavior of T-beams with recycled aggregate concrete is investigated, and the parameters studied on T-beams are as follows: (Replacing natural coarse aggregate (NCA) with 100% recycled coarse aggregate (RCA), increasing the flexural reinforcing ratio (ρw) in percentage (25% and 50%), increasing the shear reinforcing ratio (ρv) according to (Ø10@50mm and Ø12@75mm), and increasing the flange reinforcing ratio (ρf) in percentage (50% and 100%) to find the effects of these parameters on the longitudinal strain distribution on the top surface of the flange, flange effective width, deflections, and the development of cracks. Eight beams’ specimens are tested, and the results of the tested beams show that; the replacing natural coarse aggregate (NCA) with 100% recycled coarse aggregate (RCA) leads to a decrease in the longitudinal strains distribution, flange effective width, and increase in deflections. The increase in the flexural reinforcing steel ratio (ρw) leads to an increase in the longitudinal strains distribution, flange effective width, and decrease in deflections. The increase in the shear reinforcing steel ratio (ρv) leads to a very little increase in longitudinal strains distribution, flange effective width, and decrease in deflection, and this parameter effects is very little and can be neglected. Finally, the increase in flange reinforcing steel ratio (ρf) leads to an increase in longitudinal strain distribution and flange effective width and a decrease in deflection.

Study on the Effects on Self-Compacting Concrete Using Waste Marble Powder and High Volume Calcined Kaolin Clay

Doaa Kadhim Fahad, Haider M. Owaid — Mon, 03 Jun 2024 00:00:00 +0000

This study aims to investigate the influence of pozzolanic materials and waste products on the strength properties of self-compacting concrete (SCC). Specifically, the research uses calcined kaolin clay (CKC) and waste marble powder (WMP), as supplementary materials. The study examines various blending systems, including binary, and ternary mixtures. Test samples were prepared by manipulating the weights of cement components, incorporating CKC, and WMP at different proportions. Fresh properties, such as L-Box, segregation resistance, V-funnel resistance, and slump flow diameter, were evaluated. Hardened properties were assessed at three intervals: 7, 28, and 56 days. The optimal binary mixture demonstrated potential as a substitute for CKC, and WMP improving fresh results and enhancing compressive strength. Ternary blends exhibited higher compressive and tensile strengths. The results indicated that binary blended mixes with 10% WMP showed enhanced compressive strengths compared to other combinations. Furthermore, the binary blend with 10% WMP displayed superior compressive strengths at all ages compared to other combinations. Additionally, the ternary blends showcased higher compressive and tensile strengths values, reaching 61.8 MPa, and 4.49 MPa, respectively. The durability performance of the binary and ternary blends SCC is examined in terms of water absorption. In addition, the study successfully met its objectives by lowering the requirement for cement, lowering CO2 emissions, and improving the environmental impact of (SCC). These findings provide valuable insights for the construction industry, promoting the utilization of alternative materials in producing high-performance self-compacting concrete.

ANOVA statistical analysis for determining the optimum contain of waste powders in concrete

Sheelan Mahmoud Hama, Husam K. K. Al-Ani, Ibrahim H Alfahdawi — Wed, 05 Jun 2024 00:00:00 +0000

Reusing and recycling waste are efficient ways to reduce waste production while dealing with associated environmental issues. The applications still have a lot of opportunity for improvement, though. This academic article discusses recycled glass and eggshell waste used in construction. The impact of these wastes on specific mechanical characteristics was examined. These wastes have been used as powder and partially substituted for cement in concrete. From the results, it was found that utilizing 10% glass powder (G) with 5% eggshell powder (E) gave the highest compressive strength by about 16.37%, 9.63%, and 10.85% at 7, 28, and 56 days, respectively compared to the control specimen. For the same mix, UPV increased by about 14.28%, 6.66%, and 6.8% at 7, 28, and 56 days, respectively compared to the control specimens. The mix contains 10% G with 15% E powders impacted negatively on properties of concrete. The tensile strengths increased similarly to the compressive strengths, as they increased at 5% E and began to gradually decrease when the compensation ratio was increased. Utilizing G and E wastes in concrete has been evaluated using an ANOVA statistical study. Analysis reveals that these wastes had a substantial impact on the strength and other variations of concrete properties, and the optimal E to be used with 10% G is 5%.

Numerical analysis of the effect of coefficient of friction on the formability behaviour of aluminium AA1060 in the stretch-forming process

Ali Hussein Habeeb, Aseel Hamad Abed, Abdullah Hamad Singal — Tue, 11 Jun 2024 00:00:00 +0000

In sheet metal forming processes, the success of the forming process depends on several primary parameters such as the geometry of the tool, Sheet Material Properties, and the Friction in the contact area (tool/workpiece interface). In addition, the process parameters like punch crosshead, deformation temperature, surface roughness of both punch head and sheet blank, lubricant state, and the value of the applied load. Friction in the actual contact area plays a significant effect in obtaining a high-quality part and reducing the production cost. The study provides a new idea to specify the suitable Coefficient of Friction (COF) used when forming Aluminium AA1060, taken according to Coulomb’s Friction Law and Stribeck Diagram for different lubricant states. The methodology of this research is based on the finite element analysis using ABAQUS/CAE 2020 of the Nakajima Formability Test for different Coefficients of Friction (COF) that are taken from Stribeck’s Diagram according to sheet material type, where the suitable Coefficient of Friction (COF) that achieves ISO 12004-2 condition to consider the sheet material successful in the test and valid for use in the manufacturing process. Results show that the Coefficient of Friction (COF) significantly affects the Formability behaviour and specifies the Location of Tearing (crack), where at higher (COF), the Formability of Aluminium AA1060 is decreased. The Tearing (crack) occurs near the circumference of the sample. Consequently, the sample was considered failed in the test and invalid to use in manufacturing processes. At the same time, when (COF) is low, the Formability of the sheet material increases, and tearing occur near the centre of the sample apex, so the sample is considered successful in the test and valid to use in the manufacturing process according to ISO 12004-2.

Faculty perception on digital transformation in education sector during pandamic

P. Sujendra Swami, T. Hareesh Kumar, Y. Jahangir — Wed, 12 Jun 2024 00:00:00 +0000

The Corona learnt a lot of lessons to humans and also introduced sophisticated digital world to complete all the duties digitally. Employees are integral to the process of digital transformation, which is a great asset for established organizations. This research advances our knowledge of how workers in the education industry interpret the digital transition. The complexity of organizational change the primary focus of this research is digital transformation. Despite their broad support for digital transformation, teachers' perspectives vary over time about a variety of particular problems encountered along the employee change journey, according to the research. Adopting a social exchange lens in digital transformation knowledge is crucial because it represents a significant structural shift that might lead to the failure of well-designed transformation processes. This is where the stress, human values, and technological values come in. Sharing and departmental cooperation are implications for the education and service sectors. Common emotional responses to change are fear, uncertainty, and worry. Teachers might not be able to articulate how they are feelings or they may not want to say it to leadership. Over the last 200 years, the workplace has changed constantly due to new technology and more globalisation. Additionally, since analytical and creative tasks are becoming more and more important, flexibility is required. Productivity in these professions is supported by the availability of quiet places and adaptable spatial designs given that workers in these positions often need quiet and concentration.

Examining burnout and stress among healthcare professionals during and post COVID-19 lockdown: A comparative analysis

Priya Sethuraman, Arasuraja Ganesan, Satish Radhakrishnan — Fri, 14 Jun 2024 00:00:00 +0000

Purpose: The purpose of this paper is to conduct a comprehensive comparative analysis focusing on burnout and stress experienced by healthcare professionals during and after the COVID-19 lockdown. The COVID-19 pandemic presented an unprecedented challenge for society, particularly for healthcare professionals who faced extended hours, direct exposure to the virus, and substantial stress and burnout. This analysis aims to shed light on the experiences of healthcare professionals during this challenging period and its aftermath, highlighting the need for proactive measures by policymakers and healthcare organizations to support mental health and well-being.

Methods: The research employs a comparative analysis approach to assess the levels of burnout and stress among healthcare professionals during and post the COVID-19 lockdown. It likely involves surveying healthcare professionals, collecting data on their experiences, and analyzing trends and patterns over time. The methodology may also include qualitative interviews or focus groups to gain deeper insights into the factors contributing to stress and burnout among healthcare professionals.

Results and Discussion: The results of the study are expected to reveal the extent of burnout and stress experienced by healthcare professionals during and after the COVID-19 lockdown. This section will discuss the key findings, highlighting any significant differences in stress levels between the two periods and identifying factors contributing to burnout among healthcare professionals. Possible discussions may explore the impact of workload, lack of resources, and personal challenges on mental health and well-being, as well as the effectiveness of existing support systems and interventions.

Implications of the Research: The implications of this research are far-reaching, offering valuable insights for policymakers, healthcare organizations, and healthcare professionals themselves. By understanding the unique challenges faced by healthcare professionals during the COVID-19 pandemic and its aftermath, policymakers can develop proactive measures to support mental health and well-being in future public health crises. Healthcare organizations can use the findings to tailor strategies and interventions aimed at reducing burnout and stress among their workforce, ultimately improving patient care and overall organizational performance.

Originality/Value: This research contributes to the existing body of knowledge on the impact of the COVID-19 pandemic on healthcare professionals' mental health and well-being. By conducting a comparative analysis, this study offers unique insights into the dynamics of stress and burnout before, during, and after the COVID-19 lockdown. The findings have significant implications for practice, policy, and future research in the field of healthcare workforce management and public health emergency preparedness.

Review of the Use of Antisense Oligonucleotides as Therapy for Huntington's Disease

Ariel Solis-Chiriboga, Alberto Bustillos — Thu, 06 Jun 2024 00:00:00 +0000

Primary care medical brigades in the Parish of San Mateo in the province of Esmeraldas: a strategy for corporate social responsibility

Tue, 07 May 2024 00:00:00 +0000

Introduction: The medical health care brigades are a strategy to address the health problems of communities from a perspective of social construction, in which people are recognized as subjects of rights and key actors in the process of building with solid foundations through the establishment of strategic alliances with companies committed to corporate social responsibility that allow the strengthening of governance processes to develop a culture of quality that promotes the sustained improvement of the provision of health services.
Methods: This study has a cross-sectional and descriptive approach, from the registration of a database in Excel with the total number of attendances and anonymized data of the direct beneficiaries of the project.
Results: A total of 915 residents of the communities of Tabete, La Victoria, Timbre Commune, Tatica and Cantonal Seat of the San Mateo parish of the city and province of Esmeraldas benefited, achieving a total of 1059 visits in general or family medicine, obstetrics and dentistry, from which the 10 main morbidities of the beneficiaries were obtained, the most prevalent being intestinal parasitosis without other specification with 60%. atopic dermatitis with 25% and acute vaginitis with 21%. Primary essential hypertension, acute rhinopharyngitis, type 2 diabetes mellitus with other specified complications, urinary tract infection of unspecified site, acute tonsillitis and other gastroenteritis and colitis of infectious origin account for less than 10% each.
Conclusions: Corporate social responsibility strategies through medical brigades are a mechanism to highlight and reaffirm the concept of improving health care gaps, which allows the participation of the community in health promotion and prevention and minimizes the occurrence of chronic non-communicable and communicable diseases and their sequelae.

Internationalization of the curriculum: Connectivism approach supported by relational leadership.

Wed, 06 Mar 2024 00:00:00 +0000

Introduction: previous to the world pandemic covid-19, professors from a Mexican Public HEIs, located in the south of the country, had been implementing educative platforms as an internationalization of the curriculum strategy to include technology in their teaching, specifically in DACEA division. The first institutional platform implemented in 2004 was Moodle, Socrative, and Edmodo was the second step by a group of 20 out of 250 professors until 2020 when Microsoft Teams became the institutional educative platform. Method: the objective of this qualitative article is to characterize the roles and responsibilities of educational actors in the new digital management derived from the covid-19 pandemic in a Mexican Public HEI. Results: The findings indicate that the institution homologated the use of an educative platform at an institutional level, a training on the use of this new platform was given only covering the technical aspects, but there was still the pedagogical training missing for Flipped Classroom Methodology. The Syndicate leader with the aid of a small group of active professors, provided an online training course oriented towards the certification of digital competences with the participation of 120 professors from the 12 areas of the university. This work between the main educative actors: the institution and the syndicate leaders along with the professors has created the foundations for university engagement and a new administrative culture of collaboration. Conclusion: it is concluded that all educative parties when properly engaged can lead to the completion of objectives avoiding change resistance that sometimes arises specially when professors migrate from present mode to a distance mode.

Deep Learning Enabled Whale Optimization Algorithm for Accurate Prediction of RA Disease

K. Prabavathy, M. Nalini — Thu, 07 Mar 2024 00:00:00 +0000

Whale Optimization Algorithm (WOA) is an optimization technique and based on food foraging behavior of whales. It has been applied in many domain including processing of images, framework controls, and ML (machine learning). WOA assists in choosing the right parameters required for Deep Neural Networks. This work uses DNN to examine metacarpophalangeal (MCP) rheumatoid joint discomforts in patients from diagnostic medical images including X-rays or Magnetic Resource images. The use of WOA enhances resultant outcomes of DNN as it searched for optimal solutions within search spaces, instead of getting trapped in local minima found by gradient descent. The combination of WOA and DNN for grading MCP rheumatoid arthritis can provide an efficient and accurate solution for medical practitioners and researchers

Explorando el comportamiento proambiental en estudiantes peruanos de educación básica: Un estudio transversal

Wed, 24 Apr 2024 00:00:00 +0000

Introduction: Pro-environmental behavior constitutes an essential topic within contemporary environmental research. In a global context where awareness of environmental challenges is constantly growing, understanding how students relate to their environment and adopt practices that promote sustainability becomes imperative.
Objective: To assess the pro-environmental behavior of fifth-grade secondary education students.
Methods: A quantitative, non-experimental, and cross-sectional descriptive study was conducted. The sample consisted of 164 students of both sexes who were administered the Environmental Behavior Questionnaire, an instrument with adequate metric properties. Descriptive statistics were used for analysis, and the non-parametric Chi-Square test was employed to determine if pro-environmental behavior was significantly associated with proposed sociodemographic variables.
Results: It was found that the pro-environmental behavior of 28% of students was occasional, 23.7% was uncommon, 19.5% was habitual, 18.8% was not habitual, and 10% was very habitual. When evaluating dimensions, it was also found that recycling and reusing, resource conservation, and environmental purchasing were predominantly valued at the occasional level. Likewise, a significant association was determined between pro-environmental behavior and students' sex (p<0.05).
Conclusions: The pro-environmental behavior of fifth-grade secondary education students was assessed as occasional. Therefore, it is recommended that educational authorities develop educational programs and awareness campaigns to promote the adoption of pro-environmental behaviors.

Impact of the Covid 19 pandemic on pregnancy and its perinatal repercussions: a systematic review

Mon, 15 Apr 2024 00:00:00 +0000

Since its inception, the COVID-19 infection has impacted the lives of at-risk populations, including pregnant women. Using clinical data and case studies, other authors have shown greater morbidity in pregnant women positive for the infection. This review includes articles from the PUBMED, SCOPUS, and SCIENCEDIRECT databases of international research. Data have shown that, compared to uninfected pregnant women, COVID is associated with increased risk and maternal and perinatal complications. Complications involving increased hospital admission were present mostly in the third trimester and included premature birth, spontaneous abortion, cesarean section, ICU admission, assisted mechanical ventilation, pneumonia, maternal death. Birth outcomes often included fetal distress, intrauterine death, and perinatal events found were low birth weight, severe sepsis, and neonatal death. The risk of vertical transmission is low. Few findings show pregnant women asymptomatic to the infection and this depends on whether the pregnant woman has other comorbidities such as obesity, high blood pressure, diabetes mellitus that increase the risk of maternal morbidity and mortality.

Malnutrición por exceso de kínder y primero básico registrados por la Junta Nacional de Auxilio Escolar y Becas, 2015–2020

Tue, 14 May 2024 00:00:00 +0000

Introduction: childhood obesity is a serious public health problem that begins in childhood, so a detailed profile will allow focusing on adequate and timely nutritional care coverage, Objective: determine the profile of malnutrition due to excess in children and schoolchildren. girls first year of basic education registered by the National Board of School Aid and Scholarships (JUNAEB) in the period 2015–2020, Methods: ecological longitudinal quantitative study applied to children in nursery and basic education in Chile with the JUNAEB database, Results: You will observe that severe obesity has remained constant in children during the years of study, however, there was a significant increase in the rural sector, malnutrition has also increased since 2019. Differences in eating behavior among education students are also demonstrated. municipal and private-subsidized, Conclusions: the results mentioned above will be benefits to carry out actions, entities and programs aimed at promoting strategies to promote healthy lifestyles for the entire population.

A trustable real estate transaction based on public blockchain: a smart contract-driven framework

R.Akila, J. Brindha Merin, Subhashini, Niyati Behera, Febin Varghese, Jeswanth.V — Mon, 13 May 2024 00:00:00 +0000

Introduction: The authorities responsible for Land Registration (LR) are often held accountable for the mishandling and forgery of LR documents in many countries. Some individuals may use a cutting-edge technology called Blockchain (BC) to digitally transfer assets such as currency, paperwork, and real estate (RE). Each transaction, monetary exchange, and shared information facilitated by a Peer-to-peer network (P2P) can be carried out through a designated node.
Methods: This paper proposes a method for secure transfer of land ownership using BC Technology without the involvement of intermediaries. Buyers and sellers are entering into a land ownership agreement via the Ethereum network. The decentralised systems has been to enhance their reliability. Currently, there is a growing development of decentralised solutions based on blockchain technology to tackle the limitations of centralised systems.
Results: The application of BC technology gradually mitigates the security concerns of the LR system. Due to the fact that each block is connected to the hash of the preceding one, each hash value will be unique. The SHA algorithm is employed for this purpose.
Conclusion: The ownership of the property cannot be transferred to the customer through the application. However, the smart contracts allow for automated updating of records.

Digital Transformation and Resilience in Higher Education: Impact on Strategic Management and Human Talent in Ecuador

Thu, 30 May 2024 00:00:00 +0000

Digitalization and organizational resilience emerge as crucial elements for institutional sustainability and success. This study aims to determine how these variables influence strategic management and human talent in the post-pandemic context. A quantitative, descriptive, and non-experimental approach was adopted. A representative sample of 31 career coordinators from the Technical University of Ambato was selected. A 17-item questionnaire was used to collect data on strategic management, digitalization, organizational resilience, and human talent management. The data were analyzed using SPSS software, version 18, applying descriptive analysis and Pearson’s correlation coefficient. Digital tools such as Moodle, Zoom, and Google Workspace were effective for educational continuity, though they presented challenges related to technological infrastructure and staff training. The implementation of resilience strategies, such as crisis committees and contingency plans, was crucial for maintaining operational continuity. A moderate positive correlation (0,644) was found between strategic management and human talent, highlighting the importance of these factors in institutional performance. It was concluded that digitalization and organizational resilience are essential for strategic management in Ecuadorian higher education institutions in the post-COVID-19 context. Investing in technological infrastructure and continuous training programs for staff is fundamental. The adoption of best international practices can enhance the response capacity and global competitiveness of Ecuadorian universities.

Microstructural Observations on the Durability of Stabilized Rammed Earth

Soura S. Yahya, Muayad A. Al-Sharrad — Sun, 02 Jun 2024 00:00:00 +0000

This study provides a qualitative microstructural investigation of fly ash geopolymers' role in rammed earth's durability against water ingress and contact erosion. A series of SEM (scanning electron microscopy) images were captured on geopolymer-stabilized as well as unstabilized rammed earth samples. These samples were fabricated from predefined amounts of sand and fine materials together with fly ash geopolymers in the laboratory by static compaction to 25 MPa inside rigid molds. Two standardized durability tests were performed, namely, the dip test and the spray (also known as erosion) test. The results of these tests reflected excellent durability properties (practically zero erosion) of the stabilized material. The microscopic investigation provided an insight into the reason behind this improvement, where geopolymer networks inhabited the macro and micro pores and served as a cementing agent interconnecting the earthen materials’ grains. On the contrary, grains of the unstabilized material were weakly bonded by the clay component of the mixture, as observed with the SEM images; therefore, they were more susceptible to erosion by water.

Using GIS Tools for the Prediction of Bearing Capacity of shallow footing (qu)and Undrained Shear Strength (Su) values for Falluja City's Soils

Maria Y. Abood, Khalid R. Aljanabi, Khamis Sayl — Fri, 07 Jun 2024 00:00:00 +0000

Geotechnical engineering, similar to other branches of engineering, must adapt and progress in accordance with contemporary technological advancements. The present investigation endeavors to examine the spatial correlations between soil characteristics, such as Undrained Shear Strength (Su) and Bearing Capacity of shallow footing (qu), across various regions within the city of Falluja. This city experienced significant infrastructure devastation subsequent to the year 2017, necessitating the need to keep up with the rapid development occurring in this locality. Consequently, it is imperative to devise the most expeditious means of acquiring preliminary data at the most cost-effective rate and within the shortest timeframe. For this study, The NOVOSPT was used to test and evaluate the (SPT) standard penetration test readings to obtain the values of soil properties for the research area using the 149 test holes in the study area. These values were used to generate a digital geotechnical map of the urban area utilizing the Geographic Information System (GIS). This map accurately depicts the spatial distribution of geotechnical characteristics that can be promptly accessed whenever required, thereby resulting in time and cost savings for engineers.

Automatic Machining Setup via Deep Learning and Image Processing

Weam A. Al-khaleeli, Mohanned M. H. AL-Khafaji, Mazin Al-wswasi — Tue, 11 Jun 2024 00:00:00 +0000

Computer Numerical Control (CNC) machines are widely used in different processes, such as milling, turning, drilling, etc., due to their high accuracy, rapidity, and repeatability. While these machines are fully controlled using G-code, the manual setup between the cutting tools and the initial stock can be time-consuming and requires skilled and experienced operators. This study utilizes artificial intelligence, supported by Deep Learning and image processing techniques, to automatically set up the machine by computing the distance between the tool and the workpiece. Firstly, a You Only Look Once (YOLO V4) algorithm has been developed via MATLAB programming specifically for the recognition of tools and workpieces. This algorithm has been trained using 1700 images, which are captured by a Rapoo C260 Webam, in the machine configuration environment for both the tools and workpieces. After recognizing the tool and workpiece, the algorithm provides information in terms of coordinates to specify where these objects are located within the image by drawing bounding boxes around them. Because the edges of the bounding boxes do not accurately depict the actual edges of the tool or the workpiece, the implementation of image processing techniques is necessary to correct these differences and determine the precise distance between the tool and the workpiece. Finally, an automatic G-code correction is generated to adjust the existing G-code, resulting in an automatic machining setup. The proposed methodology has been implemented and evaluated on a CNC turning machine, and it showed promising results in terms of reducing the required machining setup time.

Investigation of flow hydraulic gradient through self-spillway dams

Tue, 11 Jun 2024 00:00:00 +0000

Dams are hydraulic structures constructed across rivers in order to store or rise water level for multi-purposes such as irrigation and power generation. The upstream face of the dam is subjected to water drag force which makes possible of flow seepage through the dam body. In the present study, the difference in water level between upstream and downstream sides of a rock-fill dam is investigated under different flow conditions demonstrating the flow behavior through the dam body. Two well graded samples of river aggregates with d50 of 56 mm and 40 mm are used to build the dam model. One sample of poor graded crushed rocks of d50 33 mm is included as well. The obtained results show that due to the porosity of the gabion containing the aggregates, the hydraulic gradient line dropped down significantly where it is inversely proportional to the porosity non-linear relationships for all. In addition, a linear relationship has dominated on the relation between upstream water depth and discharge through the self-spillway dam with and without impermeable core.

Employee’s personal characteristics and their perception on employee engagement: A study on hotel employees

D. Gunaseelan, George Thomas — Wed, 12 Jun 2024 00:00:00 +0000

Employee engagement is the concept by which an employee’s intellectual and his emotional attachment to work and organization is measured. Employees of the hotels are to be engaged to reduce employee turnover, enhance customer satisfaction and improved business performance that influences the sustainability of the organization in an aggressively competitive market. Data for the research has been collected from a four and five star category hotels at Kolkata which is analyzed for the role of employee’s personal characteristics, on the employee’s perception on engagement. The finding suggest that employee’s level of educational qualification and there gender have great role in their level of organizational engagement. Suggestions has been provided to improve the employee engagement in the study organizations.

Customer satisfaction in retail services – a study with reference to kottayam district in kerala

Seethu John, M. Thaiyalnayaki — Fri, 14 Jun 2024 00:00:00 +0000

Purpose: The main aim of this research paper is to ascertain the factors influencing the service quality of retail services in the study area and to identify the strategies of retail services leading to customer satisfaction of retail services as well as to measure the influence of demographic variables on the level of satisfaction of retail services.
Design/ Methodology: The comprehensive framework for ascertaining customer satisfaction on service quality of retail services was subsequently accompanied by the collection of data through a structured questionnaire. The researcher used convenience sampling method and collected 384 responses and used confirmatory factor analysis, linear multiple regression analysis, structural equation model and one way analysis of variance.
Findings: It is found that the customer satisfaction of retail services and their quality can be judged by the retail stores location and the relationship maintained by the employees. The customers expect the staff in the retail services have good knowledge about the products and also to have empathy in dealing with their customers. The ambience of retail services outlets and their layout are the predominant factors offer best satisfaction to the customers.
Practical Implications - The present research is focusing on the unaddressed issues to determine the factors of retail services empirically namely, the strategies of retailer services having their limitations of measurement and how can they be measured, the role of service quality on offering customer satisfaction through the retailer’s services and the demographic variables deciding the level of satisfaction of customers on retail services.
Originality/Value - The quality of retail service comprises an healthy interactions between service seekers and service providers. The retailers strategies are to be designed in such a way the performance exceeds the expectations of customers and make them as the customers with high satisfaction and delighted and need to ascertain the factors responsible for customer satisfaction in retail services in retail sector, which is not much done by past researchers.

Data oversampling and feature selection for class imbalanced datasets

Krishnakumar V., Sangeetha V. — Fri, 21 Jun 2024 00:00:00 +0000

Introduction: Significant advancements and modifications have been implemented in data classification (DC) in the past few decades. Due to their infinite quantity and imbalance, data becomes challenging for classification. The biggest concern in DM (Data Mining) is Class Imbalance (CI). To avoid these issues in recent work proposed map reduce based data parallelization of class imbalanced datasets.
Methods: A novel Over Sampling (OS) technique called Minority Oversampling in Kernel Canonical Correlation Adaptive Subspaces (MOKCCAS) has been suggested with the objective to minimize data loss throughout (FSP) Feature Space Projections. This technique takes advantage of the constant Feature Extraction (FE) capability of a version of the ASSOM (Adaptive Subspace Self-Organizing Maps) that is derived from Kernel Canonical Correlation Analysis (KCCA). And in classification, Feature Selection (FS) plays an important role because the acquired dataset might contain large volume of samples, utilizing all features of samples from the dataset for classification will decrease the classifier performance. And then data parallelization will be done by using map reduce framework to solve this computation requirement problem.
Result: Then proposes a feature selection model using Mutated whale optimization (MWO) methods and produces features and reduces the time consumption. Finally proposed class balancing model will be tested using uniform distribution based enhanced adaptive neuro fuzzy inference system (UDANFIS). Test outcomes validate the efficiency of the suggested technique by precision, recall, accuracy and Error Rate (ER).
Conclusion: The study subsequently suggests a novel OS approach called MOKCCAS to lessen the loss of data throughout feature space projection.

The good practices of green it in energy saving and its influence on the cost of electrical service of a higher educational center, in the district of Surco - Lima 2022

Thu, 25 Jan 2024 00:00:00 +0000

This research is based on the study of how the good practices of GREEN IT influences energy savings and the cost of electricity service in a higher education center, which mentions the importance and positive impact of using GREEN IT in organizations, which promotes energy efficiency and sustainability of various technological devices, and to this is added the benefit of preserving both natural and energy resources. These good practices of green economy, the correct use of technologies and processes is proven in this research that directly impacts the costs that can be incurred by the organization for the execution of its activities, as well as the contribution to the care of the environment with the decrease of Co2 produced by each action and resources used habitually. The objective of this research is to determine how the good practices of GREEN IT in energy saving influence the cost of a higher education center in the district of Surco - Lima 2022. For the above mentioned and to measure the good practices employed in the institution, a questionnaire and the evaluation of fixed and variable costs were used to analyze how much it has impacted economically, as well as the care of technological assets for their longer life. Finally, the results obtained confirm the hypothesis raised, that applying the good practices of GREEN IT has a direct impact on energy reduction, as well as on the costs of the institution; verified in the survey instrument to 132 samples where the evaluation result yields a Cronbach's Alpha for the 22 items of 0,968, which allows affirming that the instrument applied has an excellent level of reliability and a reliability test for each question obtained an alpha greater than 0,965.

Privacy-Preserving Image Storage on Cloud Using An Unified Cryptographic Authentication Scheme

Thu, 07 Mar 2024 00:00:00 +0000

With the proliferation of several cutting-edge technologies such as the Artificial Intelligence (AI), and Machine Learning (ML), Internet of Things (IoT), cloud technology is gaining colossal popularity in recent years. Despite the general publicity on the theme across the digital world, defending user data kept in the cloud database is the most decisive problem. Recent potential cyber attacks reveal that storing private images entails more unique care related to other types of information on the cloud. As the cloud customer who has kept their images has no control over their data the cloud service provider has to ensure better security against cyber threats. Cryptography algorithms are the best choice to secure pictorial data in the cloud. These techniques transform images into an inarticulate form to keep confidentiality over undependable and vulnerable social media .In this paper, we aim to propose an approach for improving image security on the cloud using cryptography algorithms. We developed a cohesive approach, called Unified Cryptographic Image Authentication (UCIA) to protect user images on a cloud platform. The proposed UCIA approach includes two phases: (i)UCIA engenders a cipher text through a Data Encryption Standard (DES) by providing a key and a message as input, and (ii)UCIA implements a Twofish algorithm to encipher the pictures by applying cipher text. The enciphered picture data is then stored in the cloud database and can be recovered when the customer requests it. The effectiveness of both enciphering and deciphering procedures are analyzed using the evaluation metrics including time for enciphering, deciphering, cloud storage, and enciphering throughput. Experimental results reveal the better performance and strength of the UCIA approach.

Influence of Innovation on the Business Competitiveness of SMEs in Urbanization Panamericana Norte, Los Olivos 2022

Mon, 01 Jan 2024 00:00:00 +0000

Companies currently need certain skills to adapt to the changes imposed by the environment with a continuous improvement in processes. For this reason, innovation is considered fundamental to be competitive in the organization. Therefore, the research being developed aims to explain how innovation influences the competitiveness of SMEs in the Panamericana Norte urbanization, year 2022. The method used for this research was quantitative, non-experimental, this is so, since it will be carried out without deliberately modifying the variables, looking at them as they were presented in their own context. Causal descriptive. The present study will be developed in the Urbanización Panamericana Norte, Los Olivos, to the different SMEs that are located in this area dedicated to the commercialization of varied products. These surveys will focus on the customers who visit these SMEs. Therefore, the surveys will be conducted with the customers, since they can provide information about the product purchased. Likewise, the population determined for the current research work will be made up of the 930 customers of the SMEs in Urbanización Panamericana Norte, Los Olivos. In addition, a probabilistic sampling with a simple random sample of 93 clients of the SMEs in Urbanización Panamericana Norte, Los Olivos will be carried out. In addition, SPSS was used to analyze and obtain information from the study. With respect to the results of the variables, it was found that there is a direct relationship between them, since the analysis obtained a Spearman’s Rho of ,837. It is concluded from the research work that there is a directly proportional relationship between the variables Innovation and Competitiveness.

Gamification and Computational Thinking in Education: A systematic literature review

Serafeim A. Triantafyllou , Theodosios Sapounidis, Yousef Farhaoui — Wed, 13 Mar 2024 00:00:00 +0000

The rapid development of gamification and computational thinking seems to open up new educational horizons by providing new opportunities for students to acquire the basic digital skills needed for their cognitive development. Gamification, on the side, flourishes because it brings about high degree of participants’ engagement in an activity. Accordingly, on the other side, the growing scientific interest in computational thinking centers on the fact that it provides a fruitful field of dialogue in the research community for the development of critical and analytical thinking of students. Hence, this paper aims to synthesize knowledge about gamification and computational thinking for improving education for the benefit of students. Specifically, this paper describes: (a) the theoretical background of gamification in learning and education, (b) relevant studies in literature and their findings, and (c) specific gamified applications of STEM [Science, Technology, Engineering, Mathematics] which have been developed to this subject area. Four databases were searched, and 37 papers were finally selected for this review. The findings from the presented learning theories set the foundation on how students obtain knowledge, and the relevant studies in the field of gamification and computational thinking showed some first positive outcomes stemming some first research attempts which need further examination. Furthermore, it seems that with the right use of game mechanics and elements, well-designed applications of STEM gain students’ interest to learn through gameplay and motivate them to cultivate computational thinking and problem-solving skills.

Math anxiety in Peruvian students of regular basic education: A Descriptive Study

Wed, 24 Apr 2024 00:00:00 +0000

Introduction: Math anxiety among secondary school students is a widely studied and recognized phenomenon in the educational community. This emotional disorder can hinder learning and affect students' emotional well-being.
Objective: To describe the level of math anxiety in a sample of Peruvian regular basic education students.
Methods: Quantitative, non-experimental, and cross-sectional descriptive study. The sample consisted of 150 students of both sexes who were administered the Mathematics Anxiety Questionnaire, an instrument with adequate metric properties. Descriptive statistics were used for analysis.
Results: The level of math anxiety for 63.3% of students was moderate, for 26.7% it was low, for 6% it was high, for 3.3% it was very low, and for 0.7% it was very high. When evaluating the dimensions of attitudes, emotions, and beliefs, it was found that they were also predominantly rated at the moderate level. This means that the majority of students occasionally feel concern, nervousness, or tension when facing situations related to mathematics in the classroom.
Conclusions: The level of math anxiety experienced by the majority of Peruvian regular basic education students is moderate. Therefore, it is suggested to implement emotional support programs that provide tools for managing anxiety, as well as teacher training to identify and support students so they can effectively cope with it.

Job satisfaction and organizational commitment in Peruvian basic regular education teachers: A correlational study

Mon, 29 Apr 2024 00:00:00 +0000

Introduction: Job satisfaction plays a crucial role in the lives of teachers, as it affects both their personal well-being and the quality of their professional performance. Furthermore, the way teachers perceive their work, the work environment, and development opportunities could significantly impact their motivation, commitment, and effectiveness in the classroom.
Objective: To determine if job satisfaction is related to organizational commitment in a sample of Peruvian basic regular education teachers.
Methods: Quantitative, non-experimental, cross-sectional correlational study. The sample consisted of 164 teachers who were administered the Job Satisfaction Scale and the Organizational Commitment Questionnaire, instruments with adequate metric properties. Spearman's Rho correlation coefficient was used to evaluate correlations between variables and dimensions.
Results: Preliminarily, it was identified that teachers were characterized by presenting a high level of job satisfaction; however, the level of organizational commitment was regular. Additionally, it was found that the Spearman's Rho correlation coefficient between both variables was 0.467 (p <0.05).
Conclusions: Job satisfaction is directly and significantly related to organizational commitment in a sample of Peruvian basic regular education teachers. This finding highlights the importance of promoting a satisfactory work environment to foster teachers' commitment and dedication to their work and institution.

Proprioceptive Neuromuscular Facilitation Applied to Dairy Factory Workers with Low Back Pain

Fri, 24 May 2024 00:00:00 +0000

Introduction: Low back pain is a condition that affects a large number of workers, especially those who perform tasks that require constant physical effort and postures in uncomfortable positions such as in the dairy industry. This type of pain can be caused by various factors, such as repetitive movements, manual manipulation of loads and forced postures during work, which overloads muscles, irritates nerves or wears out joints that can ultimately lead to disability.
Objective: To analyze the effect of neuromuscular facilitation on low back pain experienced by workers in dairy factories.
Methods: Quasi-experimental study, with longitudinal design and quantitative approach in two study groups (FNP and control) assigned by convenience and selected under inclusion and exclusion criteria. The level of disability associated with low back pain, pain intensity and health-related quality of life were measured, both before and after the intervention.
Results: Significant reduction between measurements of the study group compared to the control group in pain intensity (0.04), level of disability associated with low back pain (0.01) and improvement in the level of health-related quality of life . While in the comparison between groups after the intervention, significant differences were obtained in the intensity of pain (0.000), level of disability associated with low back pain (0.000) and improvement in the level of health-related quality of life.
Conclusions: FNP in dairy factory workers reduces low back pain, disability and improves quality of life by strengthening the core, stabilizing the spine and reducing the load on the lower back, which benefits performance and prevention of recurrent injuries.

Biocalcification of Sandy Gypseous Soil by Bacillus Pasteurii

Hadeel S. Sulaiman, Muayad A. Al-Sharrad, Idham A. Abed — Sun, 02 Jun 2024 00:00:00 +0000

Microbial-induced carbon precipitation (MICP) is one of the most recent treatment methods for soil stabilization. The present work employs this technique in improving the collapsing behavior of sandy gypseous soil with 35% gypsum content under one-dimensional loading to 100 kPa and leaching conditions. A bacterial strain, Bacillus pasteurii was used for this purpose. A set of collapse tests was performed inside a modified oedometer on specimens, prepared with 25% bacterial solution and 0, 0.25M, 0.5M, or 1M cementation solution molarities, cured to 7, 14, or 21 days. The results indicated that the bacterium was able to produce a considerable amount of calcium carbonate ranging from 3% to 15%. This carbonate was also observed by microscopic imaging of the specimens at the interparticle contacts and also on the surfaces of soil grains. Consequently, the soil gained additional bonding and the voids became smaller. Therefore, the soil became more resistant to water flow and leaching, where the treated specimen maintained nearly the same permeability with the progression of leaching, unlike the untreated specimen which showed a 7-fold increase over the same water flow condition. Over the examined load, the MICP treatment provided almost no change in the strains caused by external loading, unlike the wetting strains which exhibited a considerable reduction of 11% to 80%. The results of leaching strains appeared to be sensitive to the rate of flow and the cementation solution molarity

Reviewing Study of the Urban Heat Island Phenomenon and Mitigation Strategies Using Available Technology

Osama Laith Ibrahim, Younis Mahmood Mohammed Saleem — Mon, 03 Jun 2024 00:00:00 +0000

This abstract explores the role of technology in enhancing the environmental performance of urban spaces. Rapid urbanization and increased environmental concerns have made it imperative to seek innovative solutions. Technology offers various opportunities to address these challenges. Smart transportation management systems optimize traffic flow, reduce congestion, and minimize emissions through the use of intelligent traffic signals and real-time data analysis. Smart energy management technologies enable efficient monitoring and control of energy consumption, promoting energy savings and reducing carbon footprints. Smart waste management solutions, such as sensor-equipped bins and data-driven collection schedules, improve waste management efficiency and promote recycling. Additionally, smart infrastructure, including smart lighting and water management systems, enhance energy efficiency and resource conservation. Furthermore, technology plays a crucial role in promoting environmental awareness through the use of mobile applications and online platforms, disseminating information and encouraging sustainable practices among urban residents. By harnessing the potential of technology, urban spaces can become more environmentally friendly, fostering sustainable development and improving the quality of life for residents.

Electrochemical Sensors based on Conductive Polymers Incorporate of Nano Material for the Detection of Hydrogen Peroxide (H2O2)

Malak Wadi, Asra A. Hussein, Mohammed H. Almaamori — Sat, 08 Jun 2024 00:00:00 +0000

Hydrogen peroxide (H2O2) plays a crucial role in various industries but poses a risk to human health when present in an uncontrolled manner. Hence, it is imperative to develop straightforward, cost-effective, and swift analytical methods for the detection and monitoring of H2O2. This study proposes a detector consisting of polyaniline-doped silver nanoparticles (Ag NPs), utilising a nanostructured okra semiconductor as a sensing material for H2O2 detection. The obtained results indicated that the addition of silver nanoparticles (Ag NPs) (at particle size 30 nm) into the mixture at different concentrations (1, 5, and 10 wt%) and voltages (1.4V–3V) led to good electrochemical performance. The prepared sensor at the Ag nanoparticle weight concentration (10 wt%) proved to have optimal performance. This configuration exhibited a clear and reliable signal response across a broad spectrum of currents at different concentrations of H2O2.

Dielectric Properties of Three Perovskite Oxides Included in Three Types of Polymer Composites

Lamees S. Faeq, Saad B. H. Farid, Fadhil A. Hashim — Tue, 11 Jun 2024 00:00:00 +0000

Microwave dielectric double perovskite /polymer composites are materials that combine the flexibility of polymer matrices like epoxy, polyurethane, or silicone rubber with unique properties of double perovskite ceramics, such as Ba2ZnWO6, Ba2MgWO6, and Bi2Mo0.5W0.5O6,. These complex oxide ceramics are synthesized using the solid-state reaction technique. The X-ray diffraction analysis (XRD) confirmed the formation of the double perovskite phase with well-defined crystal structures. Utilizing transmission/reflection measurements by a vector network analyzer (VNA) and double perovskite ceramics as filler materials in the polymer matrix, the impact of the complex oxide fillers on the composites' overall dielectric properties was fully measured. In particular, the dielectric properties of the resulting composites, specifically their dielectric loss and dielectric constant, were investigated within the wide frequency range of 4-8 GHz. Better dielectric characteristics, such as a high dielectric constant and a low loss factor, were demonstrated by Ba2ZnWO6, which made it a viable option for use in high-frequency circuits, microwave devices, energy storage components and communication technology. Furthermore, Competitive dielectric qualities were demonstrated by Ba2MgWO6 and Bi2Mo0.5W0.5O6. In addition, the results indicated improved dielectric characteristics, including dielectric constant and loss factor. The resulting composites not only have a lower cost and light weight than ceramics, but they also have a lot of potential uses in the microwave dielectric range. Furthermore, when compared to the other measured composites the Ba2ZnWO6/polymer composites demonstrated superior properties.

Maximal oxygen uptake and cardiovascular adaptation to handball game specific endurance circuit training in handball players

S. Rameshkannan, B. Chittibabu — Tue, 11 Jun 2024 00:00:00 +0000

Now a day, the sports team coaches, trainers and other support staffs have a hectic job to deal with the preparation of their team players with consistent, precise and greater effort to meet the demands of the competition in shortest duration. Various training modalities were adopted depending upon the necessity that improves sports performance. Handball team coaches apparently felt that fitness and skill go hand in hand, where sports specific training caters to achieve this goal. Thus, the present study focussed on assessing the adaptations of maximal oxygen uptake and cardiovascular variables to handball game specific endurance circuit training. To accomplish the purpose twenty-four (24) trained university male handball players with a playing experience of more than eight years gave consent to participate. The selected twenty-four players were classified into two groups as Handball Game Specific Endurance Circuit Training Group (HGSECTG = 12) and Control Group (CG = 12). To test the effectiveness of handball game specific endurance circuit training (HGSECT) players performed specifically constructed handball circuit 3 days in a week for 12 weeks at 90-95% of maximal heart rate for two minutes duration and active recovery by walking. HGSECTG showed significant improvement on maximal oxygen uptake (t = 8.516, p < 0.05) and distance covered in Yo-Yo test also increased (t = 8.4, p < 0.05). Similarly, cardiovascular modifications are noted in maximum heart rate (HRPEAK, t = 2.372, p < 0.05) and resting heart rate (HRREST, t = 3.975, p < 0.05) and percentage of heart rate reserve (%HRRESERVE, t = 3.004, p < 0.05). We conclude that handball game specific endurance training programs could be sufficiently suitable to develop maximal oxygen uptake and positive adaptation of cardiovascular variables in twelve weeks of training among handball players. The intensity, duration, frequency and recovery of the intervention displayed improvement in VO2PEAK with reduced condition on cardiovascular stress.

Stack sort – a new approach with sorting network and a buffer

Fri, 14 Jun 2024 00:00:00 +0000

Knuth introduced the problem of stack sorting. Stack sorting was implemented by t stacks in series. In this paper, we propose a new dimension to stack sorting problem by introducing a stack with sorting network and a petty buffer. Instead of using t stacks in series, it helps to improve the performance by avoiding shuffles the stack. The basic idea behind in this paper is to perform a stack sorting with a single stack, and to achieve greater performance. In this novel approach, 2 bit buffer is compared to stack and insert the element into stack in order to avoid multiple stack. The result shows the time complexity of the proposed algorithm is O (n).

Investigation The Effect of Tellurium Addition on Corrosion Resistance of Ti6Al4V alloy

Haydar H.J. Jamal Al-Deen, Basmal H. Abdul Amir — Wed, 12 Jun 2024 00:00:00 +0000

The purpose of this study is to investigate the impact of Tellurium alloying element (0.5, 1, 1.5 ,2 ,2.5 ,3
,3.5 ,4 ,4.5 and 5 wt%) on corrosion resistance of Ti6Al4V alloy in Hank and saliva solutions. All alloys have been prepared by powder metallurgy technique, the compact pressure was determined as 800MP and the green samples sintered at 350 C0 for 1h then at 550 C0 for 1h and at 1000 C0 for 2 h in inert gas (of Argon), then the samples cooled in the furnace to room temperature. The microstructure was observed using a light optical microscope and has shown that all specimens of alloys contain two regions: the α-Ti phase and the β-Ti phase. Generally, compared with the base alloy, the addition of the Te element leads to an increase in the α-phase due to the effect of Te as the α stabilizer element. Electrochemical tests (potentiodynamic polarization and OCP – Time measurement) in Hank's and saliva solutions were used to evaluate corrosion resistance of Ti6Al4V alloy. When tellurium was added, the OCP shifted to the positive direction. This makes the alloy more noble and increases its resistance to corrosion by decreasing corrosion current density. The percentage of improvement ranges from 2.50% to 61.92% in saliva solution and from 16.27% to 88.32% in Hank's solution. For both solutions, the best percentage of improvement is 5% Te.

Mutations and laboratory diagnosis in acute promyelocytic leukemia

Tue, 07 May 2024 00:00:00 +0000

Introduction: Acute Promyelocytic Leukemia (APL) is a unique subtype of acute myeloid leukemia (AML) characterized by proliferation and accumulation of abnormal promyelocytes in the bone marrow. It arises from a balanced translocation between chromosomes 15 and 17, involving the retinoic acid receptor alpha (RARA) gene on chromosome 17 and the promyelocytic leukemia (PML) gene. It has a higher incidence in young adults.
Objective: To establish the mutations associated with acute promyelocytic leukemia and the techniques that aid in its clinical diagnosis.
Methodology: A systematic review of 19 scientific articles published in the databases of PubMed, Scopus, Google Scholar and the Virtual Library of the University of Granada was carried out. The data collected focused on acute promyelocytic leukemia, acquired, secondary or somatic mutations and laboratory diagnosis.
Results: Of a total of 1730 patients 67.7% had the t(15;17) mutation, of 682 patients 26.7% had the FLT3-ITD mutation and of 175 patients 16% had the FLT3-D835 mutation. Laboratory diagnosis is based on morphological evaluation of promyelocytes, hemostasis tests, biochemical tests Immunophenotyping and molecular cytogenetics.
Conclusions: The mutation associated with APL is the promyelocytic leukemia/retinoic acid receptor alpha (PML-RARA) gene, the same that presents a t(15;17), secondary mutations or somatic mutations such as (FLT3-ITD or FLT3-D835) were also known. Multiparametric flow cytometry is one of the most widely used techniques for the diagnosis of APL, allowing the determination of cell morphology and immunophenotypes.

Assessment of digital competencies in basic education teachers: A descriptive study

Wed, 06 Mar 2024 00:00:00 +0000

Introduction: Digital competencies are essential for primary education teachers, as they enable them to leverage technological tools to enhance teaching, adapt to the needs of digital students, and prepare them for an increasingly technological world.
Objective: To assess the digital competencies of Peruvian basic education teacher.
Methods: quantitative, non-experimental, cross-sectional descriptive study was conducted. The sample consisted of 125 teachers who were administered the Teacher Digital Competence Questionnaire, an instrument with adequate metric properties.
Results: It was found that 44% of basic education teachers had a medium level of digital competency, 36.8% had a high level, and 19.2% had a low level. Similarly, it was determined that certain sociodemographic variables such as gender and age group were significantly associated with the level of development of teachers' digital competencies (p<0.05).
Conclusions: The predominant level of development of digital competencies among basic education teachers is at a medium level. Therefore, it is recommended that educational authorities promote the implementation of workshops on the effective use of digital tools in the classroom, foster the exchange of best practices among teachers, and provide accessible digital resources and tutorials for autonomous learning.

An Energy-Efficient Cluster Head Selection and Secure Data Transmission in WSN using Spider Monkey Optimized Algorithm and Hybrid Cryptographic with Security

M. Yuvaraja, S. Sureshkumar, S. Joseph James, S. Thillaikkarasi — Sun, 10 Mar 2024 00:00:00 +0000

To conserve energy in wireless sensor networks, clustering is the well-known strategies. However, choosing a cluster head that is energy efficient is crucial for the best clustering. Because data packets must be transmitted between cluster members and the sink node, improper cluster head selection (CHs) uses more energy than other sensor nodes. As a result, it lowers the network's performance and lifespan. Due to the requirement that this network implement appropriate security measures to guarantee secure communication. This paper provides a novel cluster head selection technique that addresses issues of networks’ lives and energy usages using Spider Monkey Optimised Fuzzy C-Means Algorithm (SMOFCM). The CH is chosen using the Spider Monkey Optimisation method in the proposed SMOFCM approach, which builds on the Fuzzy C-means clustering framework. The hybrid cryptographic technique is appropriate for WSN for safe data transmission because it can address sensor challenges such processing power, storage capability, and energy. The Rivest-Shamir-Adleman (RSA), advanced encryption standards (AES), and the suggested algorithm are all used at various stages. Because asymmetric key cryptography makes key management simpler but symmetric key cryptography offers a high level of security. The AES algorithm has been created for phase 1. Phase 2 employed RSA, and all phases were carried out concurrently. According to the simulation results, it reduces energy use, lengthens the network's lifespan, and offers faster encryption, decryption, and execution times for secure data transmission

Management of information systems projects in virtual environments and distributed teams

Thu, 28 Mar 2024 00:00:00 +0000

In today's business environment, effective information systems project management has evolved with the increasing adoption of virtual environments and distributed teams. This article addresses the challenges and best practices in managing information systems projects in virtual contexts, where teams work remotely and collaborate through digital tools. It highlights the advantages and pitfalls of this modality, as well as strategies to maximize efficiency and communication in this type of projects.
In this context, the article addresses the challenges and best practices in managing information systems projects in virtual environments and with distributed teams. Through a comprehensive review of the current literature and the analysis of relevant cases, key strategies to optimize communication, coordination and success in this type of projects will be explored.

An Optimized Intelligent Deep Network for Herbal Leaf Classification

Hema Deepika A, Elango NM — Tue, 16 Apr 2024 00:00:00 +0000

In recent times, a variety of industries have made extensive use of image processing techniques for tasks including segmentation and classification. However, the traditional image processing and ensemble learning approaches face challenges in feature selection and classification. To overcome the demerits of the conventional image processing and boosting algorithm, a novel hybrid Chimp-based Boltzmann Prediction Network (CbBPN) was developed in this article. The presented work was designed and verified in MATLAB software with the herbal leaf dataset. In the model development, the pre-processing and feature extraction module is responsible for extracting valuable features that are pertinent to the classification process. Furthermore, the chimp fitness function increases the classification rate by removing unwanted elements during the classification stage. Additionally, the developed model uses the matching operation to specify the types of the leaf. Furthermore, a case study was created to explain the ways the suggested approach operates. Moreover, a comparison of the projected findings with the existing categorization approaches validates the effectiveness of the constructed model. The comparative analysis shows that the new methods outperformed previously available ones in terms of output.

Disentangling the Knots of Diasporic Identity through the Prism of Postpositivist Realism in Caryl Phillips’ Crossing the River

Dilshad Kaur, Rasleena Thakur — Mon, 20 May 2024 00:00:00 +0000

Crossing the River (1993) holds within itself a whole history of the Black Diaspora. This history churned through the memories of various characters unfolds before the reader the experience of exile, disillusionment, and loneliness and depicts the diasporic ambivalence and hegemony of the Whites. Through a story of three black people during different time periods and on different continents as they struggle with separation from their native Africa, the novelist invites readers to see how individual stories are intertwined in the wider tapestry of collective memory. Phillips is interested in how narratives of slavery inform the contemporary migrant condition. Phillips explores the myriad associations and connecting points within black history on the imaginative terra firma of his fiction. He calls upon the reader to delve deeper into the ‘visible and obvious’ and to see how the present identities acquired their shape and characteristics; how the cauldron of collective memories, narratives, and stories produced enduring tales of affirmation and resilience. The novel acquires new contours when seen in the light of the Postpositivist realist approach. The theoretical approach enriches the thematic understanding of the novel and substantiates the idea that the concept of identity necessitates a valid epistemological inquiry.

Entropy pelican optimization algorithm (epoa) based feature selection and deep autoencoder (dae) of heart failure status prediction

Ms. T. Sangeetha, Dr. K. Manikandan, Dr. D. Victor Arokia Doss — Sun, 12 May 2024 00:00:00 +0000

Introduction: Heart Failure (HF) is a complicated condition as well as a significant public health issue. Data processing is now required for machine and statistical learning techniques while it helps to identify key features and eliminates unimportant, redundant, or noisy characteristics, hence minimizing the feature space's dimensions. A common cause of mortality in cases of heart disease is Dilated Cardiomyopathy (DCM).
Methods: The feature selection in this work depends on the Entropy Pelican Optimization Algorithm (EPOA). It is a recreation of pelicans' typical hunting behaviour. This is comparable to certain characteristics that lead to better approaches for solving high-dimensional datasets. Then Deep Autoencoder (DAE) classifier has been introduced for the prediction of patients. DAE classifier is employed to compute the system's nonlinear function through data from the normal and failure state.
Results: DAE was discovered to not only considerably increase accuracy but also to be beneficial when there is a limited amount of labelled data.Performance metrics like recall, precision, accuracy, f-measure, and error rate has been used for results analysis.
Conclusion: Publicly available benchmark dataset has been collected from Gene Expression Omnibus (GEO) repository to evaluate and contrast the suitability of the suggested classifier with other existing methods.

Analysis of Policy Options Based on Data-Driven Economic Cycles and Industrial Structure Upgrading

Zhe Sun — Sat, 08 Jun 2024 00:00:00 +0000

China's economy has achieved a high growth rate of 9.8% in cyclical fluctuations, and the industrial structure has been continuously improved with growth. However, the irrationality of the tertiary industry structure and its internal structure still restricts the sustainable development. The optimization of the industrial structure depends on many factors, such as government policies, economic growth mode, resource constraints, economic development stage and economic cycle stage. Based on data-driven analysis, this paper analyzes the general path and policy choice of economic cycle to adjust China's industrial structure, and the impact of economic cycle on the upgrading of industrial structure. After the actual analysis, we found that the threshold of economic growth in economically developed regions is high, the role of financial development in stimulating industrial structure is not prominent, and industrial upgrading is relatively difficult. Industrial upgrading is difficult.

Investigate the Effect of Using an Adaptable Orthosis with Airbag Cushion as an Arch Support for Flatfoot Treatment

Noor A. Ghassan, Wisam K. Hamdan — Mon, 03 Jun 2024 00:00:00 +0000

Flatfoot is an abnormality that affects forefoot, midfoot, and hindfoot. This deformity also referred to as pes planus, in which the medial longitudinal arch is collapsed. Flatfoot can be accosted with symptoms such as pain and swelling. objective: The aim of this study is to develop an adaptable flatfoot orthosis that uses an airbag cushion to support the arch and help in reducing the pain and improving the pressure distribution. Methods: The patient went through a physical test and a cast from Plaster bandage was made to the patient’s foot to have the exact foot measurement for the orthosis design. The orthosis was made from two layers, the first layer was made from a Polypropylene sheet as the orthosis base, and the second layer was made from Plastazote. The airbag cushion was placed between the two layers and connected to the air pump. Gait analysis test was carried out on PWALK device with two conditions (with foot orthosis, and without foot orthosis) to test the efficiency of the orthosis. results: The gait analysis confirmed that foot orthotics optimize pressure distribution, arch height, and pain reduction during the gait cycle. conclusion: Our study aims to analyze the benefits of using airbag cushions in flatfoot orthosis. We designed a prototype orthosis with a semi-rigid structure and an airbag cushion to support the arch. The semi-rigid structure allows for normal foot arch mobility, while the airbag cushion helps reduce pain and improve arch height and pressure distribution.

Estimation of The Maximum Bending Moment on Pile Group Under One-Way Cyclic Loading in Sandy Soil

Saif Samir Abdulhafiz, Jasim M Abbas — Fri, 07 Jun 2024 00:00:00 +0000

In fact, most civil engineering projects are subjected to cyclic loads. The sources of this load are usually seismic, wind, sea waves, and others. Model tests in sandy soil were performed to determine the maximum bending moment at which a pile group (2x2) would respond under one-way lateral cyclic loading. The group pile was made of aluminum piles that were installed in sandy soil with a 70% relative density and three-pile spacing of (3D, 5D, and 7D). The cyclic loads ratio (CLR) used are (0.6, 0,0,8, and 1.0) that is a result from average lateral static load. It can be concluded that an increase in group pile spacing can reduce the maximum bending moment by up to 92%. In addition, As the distance increases, the bending moment decreases, the front pile group provides a greater maximum bending moment than the back rows, as the maximum value in comparison reached 53%.

Sustainable use of recycled glass powder-based geopolymer of organic soil stabilization

Khalaf Y. Khalaf, Khalid R . Mahmood — Sat, 08 Jun 2024 00:00:00 +0000

The foundation of any structure and construction of roads are most affected by different problems when it is constructed on weak soil such as organic soil for example. The use of recycled glass powder as a precursor in geopolymers improves soil properties (enhancing bearing capacity and reducing compressibility), as well as prevents glass waste from accumulating in landfills. The recycled glass powder (RGP) was added to the soil with different percentages(5,10,15,20 and 25)%. Sodium hydroxide (NaOH) is used as an alkaline solution. The chemical composition of RGP and the organic soil are determined by the X-ray fluorescence (XRF) test. Unconfined compressive strength (UCS) was conducted to investigate the mechanical behavior of specimens. The results show that increase in UCS in 7 and 14 days for the specimens treated with geopolymer compared to the natural soil specimens. The highest UCS value was 7.86 MPa at a curing time of 14 days and a curing temperature of 65C⁰ with 20% RGP.

Síntesis de nanofibras de pva para mejorar las propiedades mecánicas y térmicas de la matriz de PMMA para aplicaciones en bases de prótesis dentales

Elaf J. Mohamed, Hanaa J. Kadhim, Masar N. Obaid — Tue, 11 Jun 2024 00:00:00 +0000

This study attempts to prepare PMMA nano-composite samples armed with polyvinyl alcohol electrospun nanofibers. One layer, two layers, and three layers of nanofiber reinforcement were all utilized. As well as, one drop (0.01 g) and three drops of the cardamom oil were used. Using a differential calorimeter, thermal experiments were carried out, including those for the Tg and the thermal dissociation point. Mechanical tests were conducted on the samples, including compression testing to determine the elongation characteristics, compressive strength, Young's modulus, yield strength, and toughness. All samples were also subjected to an impact strength test. Results showed that the Tg point increased due to the presence of nanofibers from 136 to 195 Celsius, and that 277 Celsius was the thermal breakdown point. According to the mechanical property data, the impact strength increased as the percentage of nanofibers rose and increased further when one drop of cardamom oil was mixed with a very tiny amount (0.01 g) of material. Additionally, it was noted that the samples did not break easily since nanofibers and a drop of cardamom oil were present. Additionally, it was demonstrated that the sample's strength increased to 195 kJ/m2, as well as 0.02 weight % of fibers, the maximum strength value.

The innovative technology of triboelectric nanogenerators for intelligent sports

P. Ramesh — Tue, 11 Jun 2024 00:00:00 +0000

Intelligent sports development in the recently emerged Internet-of-things era is especially dependent on the gathering and analysis of athletic big data based on widely dispersed sensor networks. Conventional sensors have drawbacks such a short lifespan and high maintenance costs, and they typically require a separate power source. Recently, independent sensing devices and mechanical energy harvesting have been made possible with the ability to transcend these limitations through the use of triboelectric nanogenerators, or TENGs. Most notably, TENGs can be made from the materials most commonly used in sports—wood, paper, textiles, and polymers. An overview of recent developments in TENG development for intelligent sports is provided. First, an explanation of TENG’s operation and how it relates to sports big data is provided. The creation of wearable technology and smart sports facilities, as well as TENG- based sports sensing systems, is then emphasized. Finally, the remaining difficulties and untapped potential are also covered.

Effect of kettle bells and battle rope training on grip strength and body composition among university volleyball players

A.H. Radhika, T. Shanmugavalli — Thu, 13 Jun 2024 00:00:00 +0000

The current research is to examine the possible impacts of High-Intensity Interval Training (HIIT) using battle ropes and kettlebells on body composition and grip strength. The aforementioned workout regimen's influence will be assessed by focusing on these two chosen variables, which are considered essential elements of interest. Existing research suggests that HIIT may have a beneficial effect on both body composition and grip strength, based on current hypotheses. The fundamental concept is that HIIT may induce favorable alterations in body composition, such as increases in lean muscle mass and reductions in body fat. This is due to its structure of brief intervals of very vigorous exercise followed by short periods of rest. HIIT has the ability to improve grip strength, which is an important measure of upper body strength and endurance. The experimental design facilitates the examination of many physical attributes by delivering pre- and post-tests to participants in both groups. The factors under investigation include grip strength (measured using handgrip dynamometers), and body composition (measured using skinfold callipers). The rationale behind our study involves the assessment of triceps strength as well as the strength of the left and right hand grips.

Adaptive firefly algorithm for resource allocation and modified advanced encryption standard algorithm for hypervisor attack detection on cloud computing

Banu Priya M. R., Maheswari D. — Fri, 21 Jun 2024 00:00:00 +0000

Introduction: The advantages and wide-ranging applications of cloud computing have made it a prominent attention for scholars these days. The dispersed structure of cloud and its whole dependence on the internet for service delivery extant security problems.
Methods: Hypervisor attack detection is carried out in this study using Modified Advanced Encryption Standard (MAES) system which ensures security prominently. It finds and detects the attacks earlier for secured VM migration. The proposed system includes main phases including system framework, load balancing, resource allocation and hypervisor attack detection via MAES algorithm. Initially, Over the duration of cloud computing, consider the quantity of tasks, VM, and cloud users. In this research, the MMH system is employed for load balancing to balance the total burden across the cloud. Tasks are moved from overloaded to underloaded nodes to attain load balancing. Next, the allocation of resources is carried out utilizing Adaptive Firefly (AF) optimization system which is used to select best resources optimally. It generates the best fitness values to choose the best resources.
Results: It is also focused to improve the cost metric, computational complexity, throughput and VM performance in cloud. Then, to detect hypervisor attacks, the MAES method is employed. It specializes on offering enhanced security for cloud data and is employed to identify hypervisor and VM attackers.
Conclusion: The findings produced the conclusion that the suggested MAES method superior to the current approaches according to throughput, computation cost, Mean Square Error (MSE) rate, and energy use.

Professional Management Competence of Chinese Hospital Executives: An Analysis

Yang Xia, Zheng Ying, Mudiarasan Kuppusamy — Thu, 25 Apr 2024 00:00:00 +0000

hospital executives, who play a crucial role in directing the course of healthcare organisations, is central to these shifts. This study offers a thorough investigation of Chinese hospital executives’ professional management proficiency. The study explores several aspects of this competency, including planning ability, control ability, and problem-solving ability, by using a mixed-method approach. These factors are essential for guaranteeing better patient outcomes and efficient hospital administration. The study also finds several outside variables that affect these competencies, including leadership dynamics, policy ambiguity, and training programmes. This study provides a thorough understanding of the management environment among Chinese hospital executives by in-depth examinations of the literature, interviews, and a questionnaire survey. The research’s conclusions not only provide important context for China’s hospital management procedures, but they also pave the way for more studies in this area. The study emphasises the significance of improving hospital executives’ professional competencies and the demand for focused interventions in this area. Hospital CEOs’ roles will become ever more important as China’s healthcare system develops. The present study makes a substantial contribution to the current corpus of information by illuminating the abilities necessary for efficient hospital administration in China

Pedagogical Management: The Key to Enhancing Academic Performance and Educational Quality

Mon, 11 Mar 2024 00:00:00 +0000

The purpose of this research is to determine the significance of pedagogical management (PM) in the teaching practice of instructors and the relationship between it and students' academic achievement. 23 scholarly papers were reviewed bibliographically in order to perform the investigation. The findings show a strong correlation between high-quality instruction and efficient pedagogical administration. It highlights that the instructor is the change agent in this process and that the student's educational transformation depends on their own personal growth. The conclusion highlights the significance of PM as a crucial component in obtaining quality education and emphasizes how the quality of the teaching process reflects on the quality of education. The present study holds significant value for the educational sector because it emphasizes the necessity of concentrating improvement efforts on teacher preparation and classroom management skills. These have been identified as critical points, particularly in higher education, where a pedagogical management crisis has been identified

Exploring attitude toward scientific research among Peruvian university students: A cross-sectional study

Mon, 11 Mar 2024 00:00:00 +0000

Introduction: The attitude of students towards scientific research is a crucial aspect in the academic sphere, as it influences their active participation in research activities, their willingness to explore new knowledge, and their future commitment to science and innovation.
Objective: To analyze the attitude towards scientific research among students of a private university in Peru.
Methods: A quantitative, non-experimental, and cross-sectional descriptive study was conducted. The sample consisted of 281 male and female students who were administered the Research Attitudes Scale, an instrument with adequate metric properties.
Results: It was found that 44.5% of students rated their attitude towards scientific research at a medium level, 32.7% at a low level, and 22.8% at a high level. Similarly, it was determined that there was a statistically significant association between the year of study and the attitude towards scientific research (p<0.05).
Conclusions: The attitude towards scientific research among students of a private university in Peru is located at a medium level. Therefore, the implementation of research seedbeds, programs including opportunities for participation in research projects, academic mentorships, and specialized courses that promote the development of research competences from the first year of study is recommended. Additionally, a periodic evaluation of the effectiveness of these initiatives could be carried out to ensure a continuous stimulus and support for the development of a research culture among university students.

Regional Economic Growth Forecast Based on Artificial Intelligence and Computer Vision Model

Yong Yin, Dongyu Zhang, Yueran Xu, Xiaomeng Zhang, Yonghong Wang — Wed, 01 May 2024 00:00:00 +0000

Introduction: Regional economic growth can be predicted to make more effective countermeasures and promote the development of local regions. However, the existing regional economic growth forecasting models have the problems that the forecasting speed is too slow and the forecasting results are inaccurate, which greatly hinders people's understanding of economic growth. Methods: Based on artificial intelligence and computer vision model, this paper designed a regional economic growth forecast model and predicted the economic growth of different regions. Through testing different areas, it was found that: The prediction risk index of the economic growth prediction model based on artificial intelligence and computer vision model was lower. Results: Among them, the accuracy rate was increased by 6.9%, and the prediction speed was improved, as well as the user satisfaction rate was increased by 9.16%. Conclusion: Therefore, artificial intelligence and computer vision technology could optimize the regional economic growth forecast model.

Intrinsic motivation according to developmental stages in post-pandemic students

Wed, 24 Apr 2024 00:00:00 +0000

Introduction: After the pandemic known as COVID19, education has been a cause of analysis and concern, both by the relevant authorities and also by the directors and teachers of educational institutions at different levels of education. In this sense, higher education has been deteriorated and students have been affected, not only economically but also psychologically, with students having low intrinsic motivation. Objective: to establish the association between the levels of intrinsic motivation and the stages of development that students in the first academic semester of a technological higher education institute have in the year 2023. Method: A quantitative approach was used, which was type non-experimental and descriptive. The studied population consisted of 114 students, selected through intentional non-probabilistic sampling according to the study programs offered by the institution. Results: The results indicated that there is no association between the levels of intrinsic motivation and the stages of development in the students (p>.05), since the population was made up of a heterogeneous group with respect to the ages of the registered students. in said academic semester. Conclusions: the level of development of intrinsic motivation is an element with a strong influence on all stages of development that students go through, since the desire for professional improvement predominates in them.

Transformation of phrases and its destructions

Sarvınoz Sayfullaevna Kasımova — Mon, 06 May 2024 00:00:00 +0000

In this article, analysis is given that idioms are one of the purest and most effective means of language, and the lexical structure of idioms is interpreted as stable, unchanging, stable in scientific literature. Studies confirm that their lexical composition is quite variable. From this comes the need to study the characteristics, appearance and reasons of variation of universal idioms.

Design strategies for aging adaptation design of public spaces under the community elderly care model

Meng Sun — Wed, 22 May 2024 00:00:00 +0000

As the aging population intensifies, the community elderly care model has gradually become an important model for elderly care. The research takes the community elderly care model as the starting point, the public spaces is used as the key research objective. Firstly, the relevant theoretical research and conceptual definition of aging adaptation design are elaborated. Secondly, the excellent practical cases of the construction and renovation of elderly care communities both domestically and internationally are analyzed. The problems in the aging adaptation design of public spaces in China are analyzed. Finally, based on the psychological, physiological, and social needs of the elderly, a design strategy for public spaces that are suitable for aging under the community elderly care model is proposed, namely, “layout consultation spaces at different levels, form leisure spaces that are conducive to communication, and construct kitchen spaces with composite infiltration”. Through reasonable design and planning, the aging adaptation design strategy of public spaces under the community elderly care model can create a livable and enjoyable leisure environment. Elderly people feel the care and support from the community, improve their quality of life, and enhance social well-bei

A Review: Flame Propagation Dynamics in Open Tubes: Factors Influencing Combustion Conditions and Practical Implementations

Hussein M. Almyali, Zaid M. H. Al Dulaimi, Mohammed A. Al-Fahham — Fri, 31 May 2024 00:00:00 +0000

This study examines the combustion conditions of fuel flame propagation within a tube of uniform cross-sectional area, where ignition occurs at the sealed end and the flame propagates in the direction of both the open and sealed ends. Both factors exert an influence on the configuration and functioning of combustion systems. To gain a comprehensive understanding of the impact of practical implementations in various combustion systems, it is imperative to comprehend the variations in flame propagation stages as a result of thermodynamic conditions. The operational conditions involving pressures and temperatures are considerably elevated compared to the natural settings. Numerous studies have been conducted on the propagation of flames within tubes. The present review centers on an extensive examination of the methodologies and procedures employed to investigate the phases of flame propagation, along with the impact of operational parameters on other fuels. Various aspects of flame behavior are explored in this article, focusing on flame formation, propagation, and the factors that influence them. The flame speed, which represents the rate of flame propagation, is influenced by factors such as fuel and oxidizer composition, temperature, pressure, and environmental conditions. The paper discusses the distinction between premixed and non-premixed flames and their respective characteristics. Several studies are cited to demonstrate the impact of oxygen concentration, air swirl, and fuel blending ratios on flame properties. These investigations involve experiments with different fuel-air mixtures, examining parameters such as flame luminance, temperature, soot production, and flame distortion. The measurement of laminar flame speed, which provides insights into fuel-air mixtures' diffusivity, reactivity, and exothermicity, is discussed. Various techniques for measuring laminar flame speed are mentioned, including the study of flame stability and spherical flame propagation. The paper also addresses the influence of flame stretch, which refers to the elongation or compression of a flame due to fluid flow or turbulence. Researchers aim to eliminate the effect of flame stretch to achieve accurate observations. Furthermore, the manuscript delves into factors affecting flame propagation, including the influence of aspect ratio on flame dynamics and flame oscillations. It describes experiments conducted in different geometries to observe changes in flame morphology and propagation velocity. The impact of ignition disturbances and equivalent ratio stratification on flame behavior is also explored. Studies examine the effects of ignition disruption and ignition volume on flame spread dynamics. Additionally, investigations analyze the behavior of flames under disturbances in the equivalence ratio, discussing changes in flame speed, heat release, and flame structure. Overall, these studies contribute to our understanding of flame behavior, combustion processes, and their applications in various fields, including energy production, environmental science, and engineering.

Processing of Hematite Ore by using Magnetizing Reduction Roasting and Magnetic Separation

Zahraa Khalil Baqer, Mohammed Hliyil Hafiz, Firas Farhan sayyid — Mon, 03 Jun 2024 00:00:00 +0000

Magnetic separation is a common method for processing low-grade iron ore, removing naturally occurring magnetic iron from nonmagnetic materials, with reduction roasting followed by magnetic separation showing promise for recovering iron values. In this study, hematite ore was processed by crushing, grinding, sieving, and dividing the samples into two groups. The first group consisted of samples for reduction (roasting), where 50g of the ore were mixed with coal in proportions of 0.25 inside a crucible, placed inside an electrical furnace at a temperature of 700°C for 60 min, and then separated magnetically. The second group consisted of samples that were magnetically separated. As the results of the first group showed, the iron grade increased from 30.36% Fe to 60.12% Fe, and the recovery reached 84.31%, with a noticeable decrease in the percentage of impurities. As for the second group, the iron grade increased from 30.36% Fe to 45.08% Fe, and the recovery was 75.22%. From the results, noticed that the results of the first group were higher than those of the second group. Therefore, it was concluded that magnetic reduction (roasting) increased the magnetic susceptibility of hematite and thus increased the grade and recovery, so the final concentrate can be used for the processes necessary to create iron and steel suitable for the necessary industrial requirements.

Numerical Simulation of Forming a 3D Shape by a Multi-Point Die

Alyaa Al-Ghuraibawi, Aseel Hamad Abed, Khalida Kadhim Mansor — Sat, 08 Jun 2024 00:00:00 +0000

Multi-point forming (MPF) is considered one of the flexible and creative three-dimensional sheet metal forming processes. Such a technique replaces traditional rigid punches with a set of adjustable-height discrete pins. By altering the relative height of each pin, a variety of three-dimensional curved surfaces can be formed. In order to avoid changing the height of the pins manually, they are attached to springs. Hence, when a load applies at the pins holder, these will take the shape of the die due to the spring properties quickly and easily. However, wrinkles and dimples are inevitable issues that appear when using MPF. In order to investigate and minimize these defects, a finite element approach using ANSYS 15.0 software has been applied to perform numerical simulations for this MPF operation. Two cases have been examined in this study. Whilst the first one includes direct forming between the pins and the metal, a sheet of rubber has been added among them in the second case. The simulation has been conducted on brass (Cu Zn 65-35) with a thickness of (0.71 mm) and rubber with a thickness of (2 mm). The boundary conditions, which are attached to the blank, enable the motion in the y-direction only with respect to the lower profile at a depth of (30) mm, and was immobilized by constraints in the x and z direction. The study has shown remarkable results since the dimples were visible on the sheet surface in the first case, whereas these defects were significantly reduced during the second one. Moreover, the blank profile’s maximum stress and strain have been studied. Due to force distribution, rubber reduces maximum stress and strain to approximately 27% and 49%, respectively, in the second case

Developing a Novel Cold Bitumen Emulsion Mixes by Adding Geopolymer

Ahmed Mahdi Ibrahim, Taher M. Ahmed, Thamir Y. Ahmed — Mon, 10 Jun 2024 00:00:00 +0000

Cold bituminous emulsion mixtures (CBEMs), which are less costly, need less energy, and are more environmentally friendly, maybe can take the place of hot mix asphalt (HMA) in the future. It is known, that these mixtures have a very low initial strength, requiring longer curing times and more susceptibility to moisture damage. Geopolymer is often used in the fields of concrete and soil improvement performance. It has not been used in the field of asphalt mixtures; so, this study can be considered as the first time of using it. This study tried to make a new CBEM by incorporating the Geopolymer into the mix to improve its initial performance and enhance early strength. Geopolymer was created inside CBEM by activating the fly ash using an alkali solution. Three percentages of fly ash (1, 3, and 5%) were used for creating Geopolymer; and different curing periods (3, 7, and 14 days) were also used. Marshall stability and Indirect Tensile Strength tests were conducted to assess the mechanical properties of mixtures. The results showed that Geopolymer can be a promising material for creating cold mixes with a better initial strength compared to traditional cold mixes. Comparing CBEMs with (5% FA + 0% CF) to control CBEMs, the increase with MS was approximately (32% at 3 days, 43% at 7 days, and 37% at 14 days). The performance of cold mixes was enhanced by the addition of Geopolymer with different FA contents and curing times when compared to control CBEMs. This improvement was particularly noticeable at longer curing times and higher fly ash contents.

Effect of therapeutic exercise on symptomatic cervical spondylosis: a case study

Maibam Nodiyachand Singh, Khadangbam Mukta Singh — Wed, 12 Jun 2024 00:00:00 +0000

Cervical spondylosis (C.S.) is a degenerative disorder in the neck that is very common and worsens with age; it limits the ability to do regular activity and is costly to treat. The purpose of the present case report is to describe the outcome of the physical therapy treatment, emphasizing therapeutic exercises for a patient with C.P. A 55-year-old man attended the yoga lab because his cervical spine was straightened, tingling, numbness on the left thumb, index and middle fingers, and upper limb numbness. The subject was treated with therapeutic exercises. The patient was evaluated for sixty days before and after the therapeutic exercises’ treatment. Investigation and evaluation were done with an MRI of the Cervical spine and an X-ray of the Cervical Spine A.P. and lat with Flexion and Extension. The result showed a very significant improvement, likely cured.

Is artificial intelligence really influencing the marketing strategies and consumer behaviour?

R.S. Latha, M. Chandran — Wed, 12 Jun 2024 00:00:00 +0000

Purpose: The main aim of this research is to measure the influence of different components of artificial intelligence and marketing strategies pursued by the consumers. The research is to identify the impact of different components artificial intelligence on consumer behaviour. The sales forecasting method is found with this much successful through the technology and innovations of artificial intelligence in the marketing domain.
Design / Methodology: The comprehensive framework for evaluating the quality of website design was subsequently accompanied by the collection of data through a web-based survey. The researcher is able to obtain 452 responses which can be used for the main study research and used confirmatory factor analysis and linear multiple regression analysis.
Findings: It is found from the study that the artificial intelligence and its generated suggestions in the marketing Arena is found very much useful for both marketers as well as the consumers. As far as the marketers are concerned the artificial intelligence is very much useful for them to exactly measure and also to get a projective figure of their business turnover in volume. The sales forecasting method is found with this much successful through the technology and innovations of artificial intelligence in the marketing domain.
Practical Implications: This empirical study paved the way to identify and implement several marketing implications useful for the marketers as well as the consumers in different demographic background. It is suggested that the marketers should get a complete data in the form of profiling the consumers, demographic background and their purchase details and technological knowledge so that they can generate appropriate artificial intelligence solutions to attract the consumers and motivate them to make their next purchase within the short span of time.
Originality/Value: The artificial intelligence can also optimize the advertisement campaigns, preserving profile of consumers, quick communication to the consumers, clarity in the marketing approach and to take independent autonomous marketing decisions with respect to consumer behaviour.

Analyzing the impact of brand resonance on consumer purchase intentions for fast moving consumer goods: an empirical study

R. Chakkaravarthy Kumaresan, S. Chandramohan — Wed, 12 Jun 2024 00:00:00 +0000

In the dynamic and highly competitive landscape of the Fast-Moving Consumer Goods (FMCG) industry, a multitude of companies are in a constant race, each one striving to outdo the others. This paper aims to delve deeper into the role of brands within this context. It seeks to explore and understand the significance of brands and how they can be leveraged to succeed in the FMCG sector. An extensive examination of the prevailing studies regarding this topic unveils a distinct void in research, especially regarding the notion of brand resonance. Despite its importance, there seems to be a lack of comprehensive research on this topic. It seeks to understand what elements play a crucial role in creating brand resonance and how it, in turn, impacts consumer purchasing decisions. To achieve this, the study employs a quantitative research approach. Data was collected through structured questionnaires, designed to gather relevant information from the respondents. The collected data was then analyzed using robust statistical tools. Confirmatory Factor Analysis (CFA) served to validate the measurement model, while Multiple Regression Analysis was utilized to grasp the connections among the variables. The findings of the study suggest a favourable correlation between brand resonance and intentions to purchase. These findings offer valuable insights for marketers operating in the FMCG sector. Understanding the factors that contribute to brand resonance can help them devise effective branding strategies, ultimately leading to increased sales and market share. Moreover, the study proposes potential paths for future investigation in this domain, thereby enriching the current understanding of the subject matter.

Evaluation of the proposal for the teaching of emotional integration in the career of Medicine, for the improvement of professional pedagogical performance

Thu, 25 Apr 2024 00:00:00 +0000

The improvement strategy for the improvement of the professional pedagogical performance of teachers of the teaching of emotional integration in the subject Clinical Propaedeutics and Medical Semiology of the 3rd year of the Medicine career is directed by the mission: to achieve levels of preparation of the teacher to improve the professional pedagogical performance in the teaching of emotional integration; The vision of this strategy is to design self-improvement actions for teachers. Main objective: To assess the results obtained in the improvement of the professional pedagogical performance of teachers in the teaching of emotional integration in the subject. Method: A system of self-improvement activities was conceived that revealed and enhanced the functions, as well as allowed the system of relationships to function harmoniously, promoting the development and systematic evaluation of work. Periods were organized for exchanges, analyses, meetings and activities Scientific. After presenting the proposed overcoming strategy, the evaluation of 30 experts was requested, it is used in the processing Mc Nemar and chi-square. The evaluation of the instruments applied to the evaluation of teachers, through the consultation of specialists and the pre-experiment carried out, confirmed the viability of the proposed improvement strategy

Smart Commodities Public Distribution System using IoT

Mon, 01 Jan 2024 00:00:00 +0000

In non-modern countries like India, the approach of allocating basic local goods to plight families is a significant approach to meeting the needs of a large number of people. The ongoing public dissemination system in Allot stores necessitates manual sum evaluation and trade record maintenance. The ongoing system has a ton of issues. One example is the IOT-based shrewd public appropriation framework project, which proposes a programmed method for getting products to verified cardholders. Similar to this, an informational index keeps track of the nuances of trades. Clients should enter their ID and mystery expression to get to their record through the High level cell. They are able to see the stock availability when they are successfully endorsed in. This structure uses a Raspberry Pi as the controller and uses a Specifics extraction-based extraordinary imprint coordinating computation, which has a higher accuracy score than previous versions. DC engines that are directly controlled by a Raspberry Pi for programmed product appropriation are used to open and close the valves. All along, one of the relatives need to enter one of a kind username and secret articulation. Right when client is supported in, he/she can see things that is open for that specific family account. The customer must provide a remarkable finger impression to the next level of confirmation in order to manage the items.

A Novel Autoencoder based Federated Deep Transfer Learning and Weighted k-Subspace Network clustering for Intelligent Intrusion Detection for the Internet of Things

V. S. Lavanya , R. Anushiya — Thu, 07 Mar 2024 00:00:00 +0000

Federated Learning (FL) has established as a potentially effective practice for cyberattack identification in the last decade, particularly for Internet-of-Things (IoT) structures. FL can increase learning effectiveness, lower transmission overheads, and enhance intrusion detection system (IDS) privacy by spreading the learning process amongst IoT gateways. The absence of labeled data and the distinction of data features for training pose significant obstacles to the deployment of FL in IoT networks. In this research, suggest an Autoencoder based Deep Federated Transfer Learning (ADFTL) to conquer these obstacles. Specifically, Create an ADFTL model utilizing two AutoEncoders (AEs) as the basis. Initially the supervised mode is employed to train the first AE (AE1) on the source datasets while the unsupervised mode is employed to train the second AE (AE2) on the target datasets without label information. The bottleneck layer, or latent representation, of AE2 is forced via the transfer learning method in an effort to resemble the latent representation of AE1. Subsequently, assaults in the input in the target domain are identified employing the latent representation of AE2. Particularly, Weighted k-Subspace Network (WkSNC) clustering is proposed for clustering the dataset and Boosted Sine Cos method (BSCM) is used for feature selection. The requirement that the network datasets utilized in current studies have identical properties is significant since it restricts the effectiveness, adaptability, and scalability of IDS. Nonetheless, the suggested structure can tackle these issues by sharing the "knowledge" of learning among distinct deep learning (DL) simulations, even in cases when their datasets possess dissimilar features. Comprehensive tests on current BoT-IoT datasets demonstrate that the suggested structure can outperform the most advanced DL-based methods by more than 6%

Self-management of water: uses of rainwater harvesting. The case of Sierra de Mexico

Abigail Martínez Mendoza, David López Zamora — Tue, 16 Apr 2024 00:00:00 +0000

Introduction: Rainwater harvesting and self-management of water are promising approaches to address water scarcity and limited access to safe drinking water. These approaches require the active participation of individuals and communities, fostering solidarity, cooperation and trust among them. At the same time, it is essential to be supported by government policies that promote and facilitate the implementation of rainwater harvesting systems and establish a sound regulatory basis for their safe and effective use. Methods: A mixed approach was used, combining the benefits of qualitative research with documentary reviews. This approach allowed us to examine and describe key aspects related to water self-management, social capital and the role of government policies in the implementation of rainwater harvesting, especially in the community of La Lupita in Lerma, State of Mexico. Results: This community has implemented traditional self-management strategies to cope with water scarcity, such as rainwater harvesting and the use of community reservoirs. However, challenges in water supply persist, especially during the dry season. Conclusions: It is necessary to promote integral solutions that combine rainwater harvesting with governmental actions and promote education on responsible water use.

Capacity building with access to information for the development of public health research in the framework of the COVID-19 health emergency

Sun, 12 May 2024 00:00:00 +0000

The Basic Quality Conditions (CBC) required by SUNEDU in the framework of institutional licensing and quality standards for accreditation, requires improving the impact of research products to achieve positive indicators, in that sense it is necessary to provide researchers and thesis students with a set of specialized tools for consultation to contribute to the improvement of scientific production and positioning of the university. The objective of the research was to train in capacities with access to information for the development of public health research within the framework of the COVID-19 health emergency. the methodology used consisted of access to information resources from the third month after the project began, together with the development of workshops, courses and permanent training as support directed to the areas and lines of research in public health, the results obtained were reflected in the increase in the number of manuscripts sent to indexed journals, as well as the improvement in capacities and skills related to the research of students and teachers, not to mention the increase in the visibility of the university as a result of the expansion of published resources with a better management of the institutional repository, it is concluded that the development of skills in the use of ICTs in students, teachers and researchers of the UNJFSC was improved and training in the research process was achieved: bibliographic searches, writing, publication, postulation of a scientific article.

An Efficient Hybrid Deep Learning Framework for Predicting Student Academic Performance

M. Viveka, Dr.N.Shanmuga Priya — Sun, 12 May 2024 00:00:00 +0000

Introduction: Educational data analysis with data mining techniques for enhanced learning is increasing. Voluminous data available through institutions, online educational resources and virtual educational courses could be useful in tracking learning patterns of students. Data mining techniques could be helpful for predicting students’ academic performance from raw data. Conventional Machine Learning (ML) techniques have so far been widely used for predicting this.
Methods: However, research available on the Convolutional Neural Networks (CNNs) architecture is very scarce in the context of the academic domain. Therefore, in this work a hybrid CNN model involving 2 different CNN models for forecasting academic performance. The one-dimensional data is converted into two-dimensional equivalent to determine efficiency of the hybrid model which is subsequently compared with many existing.
Result: The experimental results are evaluated using various performance metrics like precision, accuracy, recall and F-Score.
Conclusion: The proposed hybrid model outperforms-Nearest Neighbour (K-NN), Decision Trees (DTs), and Artificial Neural Network (ANN) in terms of precision, accuracy, recall and F-Score.

Bioactive Peptides Derived from Food Sources: Bibliographic Review

Fri, 31 May 2024 00:00:00 +0000

Introduction: Recently, bioactive peptides derived from food have been incorporated as key components in functional foods and nutraceuticals to combat and manage various diseases thanks to their biological effects.
Methods: This document explores the biological and functional properties of bioactive peptides, ranging from antihypertensive effects to improvements in the physical characteristics of foods. Special attention has been given to peptides derived from Andean foods like quinoa, amaranth, and maca.
Results: Bioactive peptides demonstrate antimicrobial, antioxidant, antithrombotic functions, and angiotensin I-converting enzyme (ACE) inhibition, promoting health by preventing chronic diseases and improving body functions. Additionally, these peptides have shown to enhance the properties of various foods, including dairy products and fermented beverages.
Conclusion: The research highlights the potential of bioactive peptides to formulate new healthy food products. Including peptides from Andean sources could expand options in functional foods, leveraging their unique nutritional properties to benefit cardiovascular and metabolic health.

Free Vibration Analysis of Toroidal Shell Segments Reinforced by Graded Graphene in Elastic Medium

Ahmed S. Khalaf , Hamad M. Hasan — Tue, 28 May 2024 00:00:00 +0000

This paper presents an analytical solution for free-vibration analyses of functionally graded graphene platelets (GPL) reinforced composite toroidal shells in an elastic medium. Four continuous distribution patterns of GPL are investigated in this study. The elastic properties of the shell have been calculated from the Halpin-Tsai micro-mechanical relationship. The governing partial differential equations of motion are derived based on the third-order shear deformation shell theory (TSDT). The shell equations are solved by adopting the approximated solution which satisfies simply supported BCs. The influences of the graphene weight fraction, distributions of the volume fraction, the number of waves, and the geometric and foundation parameters on the natural frequency of the toroidal shell segment are studied. It was clear that the FG-X distribution pattern outperformed other types of dispersion. Additionally, the presence of an elastic foundation increases the shell's natural frequency.

Factors affecting the decision-making of appropriate sites for WWTPs

Wesam Mahmood, Wadhah Amer Hatem — Wed, 05 Jun 2024 00:00:00 +0000

The aim of this research was to examine the factors associated in decision-making processes for the selection and evaluation of optimal sites for wastewater treatment plants (WWTPs). The data for this study was collected by an established questionnaire, which received responses from a total of 62 engineers with various specialties These engineers are employed in both the public and private sectors. The reliability and validity of the questionnaire were investigated with the use of Cronbach's Alpha, which showed that the results were consistent with acceptable standards. The Relative Importance Index (RII) technique was employed to evaluate the responses for the 31 factors. The study's findings indicate that the distance from population settlements had the highest level of importance according to the RII scale. This was followed by the distance from wells or groundwater, and then the distance from historical and religious areas. The temperature factor had the lowest RII score in this research.

Simulation and Experimental Approach for Metal Forming with a Multi-Point Die

Alyaa Al-Ghuraibawi, Aseel Hamad Abed, Khalida Kadhim Mansor — Wed, 05 Jun 2024 00:00:00 +0000

Multi-point forming (MPF) is considered a flexible and innovative sheet metal forming process that allows for the creation of three-dimensional curved surfaces. This study investigates the effects of various parameters on the final product in metal forming using a multi-point die. The research employs a combination of numerical simulations and experimental work to analyze and minimize defects in the forming process. The concentration is on brass (Cu Zn 65-35) and rubber materials, with specific thicknesses of 0.71 mm and 2 mm, respectively. Although ANSYS 15.0 is used to study the stresses and strains resulting from the formation process with the multi-point die (MPD), the experimental work was conducted to study the effect of two parameters: forming speeds (5 and 15 mm/min) and holding times (1, 3, and 5 minutes were used in this process). The simulation results reveal that the use of rubber significantly reduces defects such as dimples on the sheet surface. Additionally, the presence of rubber helps distribute the force, leading to a reduction in maximum stress and strain in the blank profile to approximately 27% and 49%, respectively, in the second case. The study also explores the impact of forming speed and holding time on spring back. BY measuring the dimensional accuracy of the final products. A forming speed of 5 mm/min and a holding time of 5 minutes resulted in the best outcomes, with a minimum average spring back (0.997). Moreover, the ANOVA algorithm was used to discuss the results which indicated that the forming speed and holding time significantly affect the dimensional accuracy. The research shows that altering settings and adding rubber to multi-point forming improves product quality and accuracy. This study enhances metal forming knowledge and improves industrial processes.

Influence of tilt angle on PV output for solar energy optimization in Iraq

Zahraa Ibrahim, Mohanned Aljanabi — Tue, 11 Jun 2024 00:00:00 +0000

It has been established through investigation that the optimal inclination of photovoltaic (PV) modules is a critical factor for harnessing the maximal quantity of solar radiation impinging upon solar arrays. The specificity of the requisite angle for each site is underscored, contingent upon the solar trajectory over daily, monthly, and annual cycles. The determination of this optimal angle is imperative for maximizing the yield from solar PV systems within the confines of Iraq. Worldwide locales have seen the application of varied methodologies for ascertaining the correct tilt angle. The efficacy of PV systems is observed to be significantly influenced by whether a fixed or a tracking system is employed to modulate the tilt angle. The present manuscript delineates the contemporary state of research and praxis pertaining to the influence of tilt angle on PV output, employing an array of optimization techniques. Furthermore, the work offers a disquisition on the determination of the most advantageous tilt angle to optimize energy acquisition in Iraq. The inquiry reveals that an optimal tilt angle for Iraq is discerned to be 38.3. This compendium is intended to augment the compendium of knowledge available to designers and scholars endeavoring to pinpoint the most favorable tilt angle for solar PV systems in any given Iraqi locale.

Digitalization of human resource management and the significance of motivation in acquiring digital skills for employee retention

Ebnezer, G. Rajini — Thu, 13 Jun 2024 00:00:00 +0000

With an effect of digitalization, there will be an internal shift in the organization with the new ways of working by the human resource by adapting the technology in different levels to develop the organization with the fast-growing technology in order to achieve the organizational objectives and global competence. The role of human resource will be totally transformed with the factors of technology. The organization has to perceive and adapt the change by handling the pressure of the human behavior for the change and implement digital tools in human resource by motivating them in acquiring digital competencies among the employees. The key purpose of this paper is in evaluating the effect of digitalization on HR practices, and how Motivation, intermediary element which permeates the digital skill gap in making an employee digitally competitive and to be retainable.

From a wealth management career to employee career success satisfaction: exploring the mediating role of job competency

Benil Dani Alexander, S. Vasantha, M. Thaiyalnayaki — Tue, 11 Jun 2024 00:00:00 +0000

In this current study, our main goal is to explore the connections between wealth career management, job competency, and satisfaction with career success. Moreover, it seeks to explore the intermediary mechanisms through which wealth career management affects employees' level of contentment with their professional trajectories. Employing the analytical tool of structural equation modelling (SEM), the study has yielded noteworthy insights. SEM analysis findings underscore the pivotal role of job competency as a mediator. In essence, job competency serves as an explanatory link, shedding light on how different facets of wealth career management - namely, career development, superior work performance, intention to stay and performance management- influence an individual's career success satisfaction. This suggests that the way in which employees perceive their own competence within their careers significantly influences how the different aspects of wealth career management affect their satisfaction with career success.

Project management based on ISO 21500, to improve productivity in the industry

Tue, 18 Jun 2024 00:00:00 +0000

The ISO 21500 standard provides guidance on project management principles and procedures with the objective of improving project management performance. establishing principles and guidelines to carry out a project effectively and successfully, using a methodology in the process to analyze productivity in its three dimensions; Efficiency, effectiveness and effectiveness of the industrial company, the results regarding Project Management indicate that 65.90% have managed to apply the standards of the norm, 22.7% are in process and 11.4% are in the beginning, Regarding Productivity, 59.1% has been achieved, 31.8% in process and 9.10% in the beginning. The results indicate that the majority have managed to achieve a satisfactory level of productivity. It can be fundamentally shown that there is an improvement in productivity when carrying out good project management. Likewise, indicate that there is a direct and highly significant relationship between Project Management and productivity, according to the Rho Spearman Test statistic (0.956) and the Significance =0.000 < 0.05 between both variables. The ISO 21500 standard is recognized globally and uses a common language that is easy to understand, transcending country borders.

Gestión de los Gobiernos de la Tecnología de la Información en el contexto Latinoamericano

Pablo Ramon Flores Cedeño, Carlos Ramón López Paz — Sun, 16 Apr 2023 00:00:00 +0000

Introduction: This article examines Information Technology (IT) management by governments in Latin America, focusing on how these initiatives are transforming public services, closing digital divides and strengthening cybersecurity and data protection.

Objective: To explore how governments in the region are implementing the digital landscape to transform public services, close the digital divide and protect data and infrastructure in an environment susceptible to cyber threats.

Methods: Through a qualitative approach, based on a documentary review methodology, research reports, scientific articles, books and relevant studies are analyzed to identify the strategies, challenges and innovative solutions adopted in the region. The article follows a methodological framework structured in phases of search, classification, and systematic analysis, allowing the creation of a critical perspective on the adoption of e-Government, the development of IT infrastructure and the importance of cybersecurity.

Results: Through this analysis, the need for a comprehensive strategy that incorporates investment in infrastructure, education in digital skills, and effective regulations for data protection is highlighted. This study contributes to the understanding of the complex dynamics between technology and governance in Latin America, offering valuable insights for academics, IT professionals and policy makers.

Conclusions: The adoption of e-Government and digital services not only improves the efficiency, accessibility and transparency of government services, but also fosters greater citizen participation and trust in institutions.

Application of ground penetrating radar in warning of urban street tree collapse: a review

Chang Liu, Tianqing Ling — Tue, 18 Jun 2024 00:00:00 +0000

The collapse of urban street trees not only jeopardizes public safety and property but also inflicts damage upon the ecological services provided by urban environments. This paper provides a comprehensive review of Ground Penetrating Radar (GPR) technology in the application of early warning systems for the collapse of urban street trees, discussing its principles, strengths, and its historical application within urban forestry. The article further analyzes the challenges and limitations of GPR in current research endeavors and prognosticates future directions for study.

A Novel Vertical Axis Wind Turbine to Provide Green Energy for Coastal Area

Fri, 17 May 2024 00:00:00 +0000

The goal of this project was to create a wind turbine that could power little street lights. Considering the typical wind speeds in chennai India and ease of construction the design of the wind turbine chosen to be sea hawk/enlil design from vertical axis wind turbine category.The VAWT is coupled to a disc type alternator and mounted on the road dividers of a highway. The wind speed on the median of highway roads will be significantly higher than at the pedestrian walking lane as it is propelled by passing traffic from both sides. The power generated can be stored in a battery bank which is placed under the windmill and utilized at night time for lighting purposes on the highway.

Exploring the Effectiveness of the 'WADI' Model for Tribal Development: A Comprehensive Analysis in the Goalpara District Special reference to -Dudhnai Block

Nasir Uddin Sheikh, Raja Narayanan — Sun, 05 May 2024 00:00:00 +0000

Introduction: Sustainable development is crucial for balancing progress with resource preservation, especially in marginalized communities like tribal regions. The WADI model, pioneered by NABARD and introduced in India in the 1990s, has proven successful in fostering sustainable development in arid tribal areas.
Objective: This study aims to explore the impact of WADI projects on the sustainable development of tribal communities in the remote villages of Dudhnai Block, Goalpara district, Assam.
Material and Method: The study employs a qualitative research approach, gathering data on migration patterns, agricultural production, natural resource management, social cohesion, and economic advancement through interviews, surveys, and field observations.
Results: Preliminary analysis reveals positive outcomes regarding increased agricultural yield, reduced migration rates, improved social cohesion, and economic empowerment among tribal communities participating in WADI projects.
Conclusions: WADI projects hold promise as a viable model for sustainable development in tribal regions, contributing to poverty alleviation, food security, and overall quality of life enhancement while preserving natural resources for future generations.

Why should we form a research seedbed in the area of nursing in Mexico?

Sat, 11 May 2024 00:00:00 +0000

Creating a research seedbed is not an easy task, however, when it is formed it constitutes a space where the activities inherent to research are promoted, being a really important proposal because it will allow consolidating the candidates with better qualities and studies, in order to motivate the members with new proposals or to adhere to the proposed lines of research, this is vital because this will result in replacement cadres, which is a win - win, product of the work of a consolidated team.
It is worth mentioning that it has already been detected as a serious problem in some universities, because when reaching the doctorate degree in many educational institutions great teachers are lost, that is why the research seedbeds are a great opportunity, first to identify young talents and second to disseminate all that knowledge either through scientific forums or publications in scientific journals, never forgetting that it should always be taken care of as key aspects to give recognition to those who contribute to these research groups or research groups, in order not to lose motivation and constantly innovate with new dynamics or alternatives that allow professional growth and interaction with other health professionals, either locally, nationally and internationally. Sharing knowledge and linking with other research groups allows us to work on a larger scale, sharing information and allowing our guild to professionalize through knowledge.

Beyond the Conventional. Value Proposition and Sustainable Innovation in the Transformation of the Mango Epidermis and Kernel for ASAGRAT.

Luis Alberto Rojas Farfán, Martha García López — Wed, 06 Mar 2024 00:00:00 +0000

The main purpose of the article is to develop and implement strategies for the sustainable utilization of mango by-products, specifically the peel and the kernel, with the goal of improving the socio-economic situation of farmers associated with the Association of Farmers of Tocaima (ASAGRAT). The adopted research methodology is grounded in two complementary approaches. Firstly, the research-action methodology is employed, encouraging community participation at all stages of the process. Secondly, a mixed approach is utilized, combining qualitative and quantitative methods. Qualitative data is collected through workshops, field journals, and surveys, while technological surveillance supports decision-making through access to diverse information sources. This comprehensive approach encompasses technological surveillance of mango by-products, improvement proposals, and projections for the development of new products that integrate into the value chain of the processes studied population

Climate change: an approach on proposals of actions that emphasize social and economic justice, and environmental sustainability

María del Pilar Longar Blanco — Tue, 16 Apr 2024 00:00:00 +0000

Demands on planetary resources have skyrocketed consistently over the past two centuries, indicating ecological excess and pointing to their finite nature. This scenario represents a great challenge since updated literature shows that, as a trend, there is a lack of political will and phenomena such as social denial. As a result, it was necessary to achieve a critical examination of the literature regarding actions that support climate change awareness from a sustainable approach. A narrative review of relevant sources was carried out, the main results of which point to the fact that the income participation variable since 1820 is concentrated at 10 percent in the richest social classes, who have consistently received 50 percent of all income. Furthermore, it could be seen that addressing climate change, as a process, is subject to the study of its causes and the transformation of the ecosystem from more sustainable practices oriented towards human and non-human well-being. The study allowed us to conclude that, to achieve this purpose, innovative capabilities must be promoted that promote technological entrepreneurship through innovation and development alternatives.

Use of the Zebrafish Model as a Tool to Evaluate the Anti- Inflammatory and Antioxidant Activity of Molecules. Literature Review

Fri, 31 May 2024 00:00:00 +0000

Introduction: The evaluation of antioxidant and anti-inflammatory properties in biological models is crucial for advancing pharmacological research. The zebrafish model (Danio rerio) is increasingly used due to its genetic similarity to humans and its translational relevance in drug discovery. This work synthesizes the existing literature on the use of zebrafish as a model for testing the efficacy of various substances with antioxidant and anti-inflammatory properties.
Methods: A comprehensive literature review was conducted using the Web of Science database. Search terms included "zebra fish," "antioxidant," "anti-inflammatory," "model," and "Danio rerio." Out of fifty articles initially reviewed, thirty-three met the inclusion criteria and were analyzed further. These articles were categorized based on the source of the substances tested, including plant extracts, compounds extracted from plants, chemical compounds, and other sources.
Results: The reviewed studies utilized a variety of methods to assess the antioxidant and anti-inflammatory effects in zebrafish, including observational assays and molecular techniques. The substances tested were derived mainly from plant extracts and chemical compounds. The analysis highlights significant variability in methodology and outcomes, reflecting both the versatility and the challenges of using zebrafish in this type of research.
Conclusions: The zebrafish model is a valuable tool for studying antioxidant and anti-inflammatory properties, offering several advantages including genetic tractability, cost-effectiveness, and the ability to observe phenotypic changes in vivo. However, standardization of methodologies and a deeper understanding of the model’s limitations are essential for maximizing its utility in biomedical research. This review provides a foundation for future studies aiming to optimize zebrafish use in evaluating therapeutic agents.

Salutogenic approach paradigm of comprehensive and integrated health care

Idalberto Creagh Bandera, Yanet del Carmen Pérez Ferreiro, Fidel Creagh Bandera — Mon, 24 Jun 2024 00:00:00 +0000

The health care approach denoted as salutogénesis was reviewed based on the historical, which conceives actions from integrality - integration precepts that enhance technical quality and enhance perceived quality (warmth) in order to achieve well-being and promote the building of a subject, family and community with a style of coping with the health situation that is paid by a professional with a way of thinking - acting proactively, not reactively, which favorably affects the quality of individual and collective life. In this sense, various current flat and electronic scientific publications have been valued, as well as recognized national and international texts, which supports the novelty of the model that is exposed, its usefulness and competitiveness and the relevance of applying it in the context of the Cuban health system. that has the person versus the community as the center, since such an approach always reorients - revitalizes, the promotion of health and prevents lifestyles that favor successfully facing various risks and conditions the reasonable effectiveness of avoiding a given disease and, of course, generating a qualitative enhancement - quantitative regarding, abort - restore, sequelae of damage to health in a given case, then power, from the state of apparent health, a Danger, Vulnerability and Risks type approach, for which it enhances Strengths and reverses Weaknesses and , turns Threats - Opportunities into its target and confronts them-boldly transforms, so that it enhances the well-being of the person, the family and the community.

Political marketing versus propaganda: Dilemmas of political persuasión

Gustavo Adolfo Pérez Rojas — Tue, 16 Apr 2024 00:00:00 +0000

Introduction: Political communication plays a crucial role in the access to and exercise of power. Politicians use communication strategies to inform, persuade and mobilize people, as well as to build the image of their political party or themselves. Political marketing and political propaganda are two approaches used in this process. Objective: To analyze the differences between political marketing and political propaganda and to explore their use in various political settings. Methods: The study was based on a documentary review that analyzed bibliographic sources and previous studies related to the topic. Cases of political marketing and political propaganda at the national and international levels were examined. Results: Political marketing and political propaganda seek to persuade, but differ in their approaches. Political marketing focuses on building a positive image and generating confidence in a political option, while political propaganda uses more aggressive techniques, distorting facts and appealing to emotions. Both strategies pose ethical and social challenges, such as manipulation of information and misinformation. It is essential for citizens to be critical and alert to political communication to counter these risks. Conclusions: There is a need to foster a culture of responsible participation in democratic life, where citizens are informed and possess skills to critically evaluate information. This implies understanding the mechanisms of persuasive communication, identifying intentionality in rhetoric and narrative, and participating in public debate in an informed and constructive manner.

Bone involvement as a presentation of breast cancer metastasis

Wed, 06 Mar 2024 00:00:00 +0000

Occult breast cancer is that condition that manifests as a metastatic axillary lymph node, without clinical or radiological manifestation of a primary breast tumor. It is a rare condition and was previously referred to only as non-palpable lesions. On the other hand, metastasis is the process through which the spread of a primary cancer focus to another organ occurs. This spread is carried out through the blood or lymphatic route. The organs that cause metastasis to bones are the breast, lung and prostate, in male patients. Currently, there is a high percentage of published clinical cases referring to bone involvement of breast origin and it is for this reason and the form of presentation, added The metastatic aggressiveness that we were able to observe is that in this article we detail the clinical case of a female patient with metastasis of occult breast cancer, where several organs were affected

Goldenhar syndrome

Dennise Cristina Cordero Alvarez — Fri, 31 May 2024 00:00:00 +0000

Goldenhar syndrome is a birth disorder characterized by congenital anomalies affecting the eye, ears, one or both sides of the face, and the spine. Additionally, it may influence other areas of the body, including jaw development. This research aimed to present a detailed case report of Goldenhar syndrome to provide clinical information and contribute to understanding this syndrome. Descriptive research was conducted based on the compilation of bibliographic data and the analysis of a case study, where detailed patient information provided by the mother was collected. An 11-year-old female pediatric patient presented with clinical manifestations such as preauricular appendage, ocular dermoid cyst, and facial asymmetry predominantly on the left side. Psychological tests revealed that the patient had difficulty concentrating, anxiety, rumination about the past, regression, insecurity, and a need for immediate gratification. It is concluded that managing patients with Goldenhar syndrome often requires the collaboration of various medical specialists, such as geneticists, otolaryngologists, pediatricians, and therapists. This case demonstrates the need for a multidisciplinary approach in healthcare and emphasizes the importance of communication and coordination among professionals from several specialties.

The Relationship Between Socio-economic Characteristics and Income Level: A Case Study of Coastal Communities in Makassar

Haeriah Hakim, Muhammad Idrus Taba, Haris Maupa — Wed, 03 Apr 2024 00:00:00 +0000

The purpose of the study is to determine the characteristics of poor family groups, calculate welfare, education and main occupation and determine their relationship with the income level of poor family groups in coastal communities of Makassar city. It is well known that current poverty reduction programs do not fully address the root causes of poverty. In hypothetical research, three key variables account for poverty: human poverty, social and natural poverty, and additional poverty. The research methodology was conducted using a survey method that focused on poor communities living in the coastal areas of Makassar city, with a unit of analysis for poor households. The number of samples tested was 273 people. To identify the characteristics of poor family groups, a descriptive study was conducted and the relationship between social characteristics and income level was used using the chi-square test. Research results using chi-square methods confirmed that education, education and economics have a significant relationship with family income. Therefore, in poor coastal communities, high-quality production, education and entrepreneurship are important elements to achieve higher family income and better social distance. The results of this study provide concrete suggestions for policymakers and experts seeking to reduce poverty in coastal communities. Family elements such as children, education and work can lead to some actions including providing free education and encouraging volunteerism in traditional activities.It also provides important data on the characteristics of low levels of family reunification in coastal communities of Makassar city and their relationship to the level of implementation.