Ijaems Journal - Profile on Academia.edu (original) (raw)

Papers by Ijaems Journal

Green logistics has become a viable option as environmental concerns grow. Green logistics is the... more Green logistics has become a viable option as environmental concerns grow. Green logistics is the process of incorporating environmental concerns into supply chain management in order to enhance suppliers' and customers' environmental performance and, as a result, change the way the business operates. Green Logistics refers to as a strategy for providing services that improve the environment, economy, and social sustainability. Therefore, Green practices must be implemented from the very beginning in order to practice ecologically responsible logistics. This paper explores the concept of green logistics, green logistics practices or strategies that need to implement, and real world application of green techniques in the logistics industry in India.

The objective of this article is to examine whether decision makers of small and medium enterpris... more The objective of this article is to examine whether decision makers of small and medium enterprises (SMEs) are familiar with the most common strategy methods. To this end, a survey was conducted among decision-makers (presidents, owners, managing directors & CEOs) of SMEs to determine their knowledge of standard strategy methods which were identified for this investigation as SWOT-Match, Competitive Profile Matrix (CPM), Strategic Position & Action Evolution Matrix (SPACE-Matrix), Boston Consulting Group Matrix (BCG-Matrix), Internal & External Matrix (IE-Matrix), and the Grand Strategy Matrix (GSM). The results showed that approx. 50% do not know any strategy method at all and approx. 60% have never used strategy methods in their professional life. This confirms the assumption that SME decision-makers have limited knowledge of strategy methods, strategy development and planning. In addition, the standard methods were evaluated by 2 participants for their suitability, and they gave an assessment of whether formalized strategic planning is helpful for the long-term success of SMEs.

The main objective of this study is to determine the relationship between various PSQ (Perceived ... more The main objective of this study is to determine the relationship between various PSQ (Perceived Service Quality) elements and customer satisfaction levels in the telecom business. In terms of customer satisfaction, the Corporate Image factor serves as a mediator between PSQ and CS. The conceptual model and the hypotheses that were drawn from the literature are put forth. Members of the target population telecom businesses were used, and questionnaires were used to collect data. The relationships between PSQ (Perceived Service Quality) and CS (Customer Satisfaction) are mediated by CI (Corporate Image), according to the data analysis results. There was a significant correlation found between customer satisfaction and the PSQ aspects of Tangibles, Reliability, Responsiveness, Assurance, and Empathy. The findings of this study recommend that telecom companies enhance the aspects of their service quality to raise customer satisfaction. Customers will become more loyal as a result, and businesses will be able to hold onto them for longer. A larger sample size may yield a more thorough analysis of this crucial issue.

This study aimed to assess the perception levels of undergraduate nursing students toward Simulat... more This study aimed to assess the perception levels of undergraduate nursing students toward Simulation-Based Learning in Nursing and to examine the association between perception levels and demographic characteristics. A non-experimental, cross-sectional quantitative design was employed, involving 171 undergraduate nursing students from selected institutions in Vellore and Dharmapuri Districts of Tamil Nadu. Participants were selected using a purposive sampling technique, and data were collected using a structured self-report instrument based on the Simulation Perception Scale. The data analysis included descriptive statistics and chi-square tests for association at a 0.05 significance level. Results indicated that students demonstrated a favourable perception toward SBL, with 75.22% of participants reporting a positive view. The highest mean score was noted in the domain of Use and Effectiveness of Simulation (Mean % = 84.4), followed by Technological Integration (76.2%). Institutional Support scored moderately (68.0%), while Perceived Barriers scored the lowest (48.2%). No statistically significant association was found between perception levels and demographic variables such as age, gender, year of study, or prior exposure to simulation (p > 0.05). Overall, students exhibited a generally positive perception towards Simulation-Based Learning in Nursing. The findings emphasize the importance of integrating simulation into nursing education to enhance learning outcomes. Continued efforts are required to address perceived barriers and improve institutional support for effective implementation of simulation-based strategies in nursing education.

This report explores the application of Artificial Neural Networks (ANN) in autonomous vehicles, ... more This report explores the application of Artificial Neural Networks (ANN) in autonomous vehicles, focusing on their role in perception, decision-making, and control systems. The analysis is based on recent research and developments, highlighting the advantages and challenges of integrating ANN in autonomous driving technology.

The upcoming wave of 5G technology marks a new age in digital communication, promising to boost n... more The upcoming wave of 5G technology marks a new age in digital communication, promising to boost network performance to unprecedented heights through faster data rates, more reliability, and efficiency. The evolution of beamforming techniques lies at the heart of this technical leap, as it considerably improves signal directionality and strength, optimizing network coverage and decreasing interference. Despite significant advances in beamforming technology, issues such as algorithmic complexity, effective resource usage, and adaptation to changing environmental circumstances demand continued investigation. This research proposal seeks to investigate unique beamforming algorithms designed specifically for 5G networks, to address these problems and foster an evolution in network capabilities. This study aims to identify critical research gaps and suggest a unique research trajectory focused on developing better beamforming algorithms by thoroughly analyzing existing literature and thoroughly examining current beamforming applications inside 5G networks. Using a mixed-methods research style that combines theoretical analysis with practical experience, the project aims to build a dynamic beamforming framework that is both powerefficient and highly flexible to various operating situations. This research is expected to result in considerable improvements in network efficiency, lower latency, and a better overall user experience.

The UAE has one of the world's highest net migration rates, and the number of workers from countr... more The UAE has one of the world's highest net migration rates, and the number of workers from countries such as India, the Philippines, Indonesia, Australia, and the USA, among others, has increased significantly in recent decades (Burns, 2005). This study examines salary brackets for various nationalities in the United Arab Emirates (UAE), focusing on compensation structures and equity. The UAE's cross-border mobility has resulted in the interaction of people with diverse languages, customs, and ethnic backgrounds. Although diversity has been shown to have several benefits, including enhanced employee creativity and competence, this recognition is often found more in theory than in actual practice. Understanding how salaries are structured among different nationalities is essential for recognizing discrepancies and supporting equitable compensation practices, especially given the diversified expatriate workforce in the United Arab Emirates. The study analyzes differences in salary ranges, benefits, and employment packages among various national groups through qualitative interviews with HR experts and workers. The various nationalities in the UAE that have a significant influence on salary levels, which are determined by work position, tenure, and negotiation ability, would greatly benefit from the study's findings. The study highlights significant areas in which discrepancies remain and makes recommendations for improving pay equity, including modifications to policies along with greater pay structure transparency. Employers and leaders in the United Arab Emirates can benefit from the knowledge this study offers, as it contributes to the broader conversation on inclusion and equity in international recruiting practices.

Alzheimer’s Disease (AD) is a complex brain disorder involving memory loss and cognitive decline.... more Alzheimer’s Disease (AD) is a complex brain disorder involving memory loss and cognitive decline. This review highlights recent progress in understanding how certain genes and brain pathways contribute to the disease. It also explores the role of plant-based compounds, such as curcumin and silymarin, in reducing brain inflammation and protein buildup. Advances in computer-based drug design and personalized medicine are discussed, along with the ongoing challenges in developing treatments that are both effective and easy for the brain to absorb. A combined approach using genetics, natural therapies, and technology may offer better solutions for managing AD.

This study explores the impact, challenges, and adoption of the Cashew Nut Processing System (CNP... more This study explores the impact, challenges, and adoption of the Cashew Nut Processing System (CNPS) generated by the Philippine Center for Postharvest Development and Mechanization (PHilMech). The research utilized a descriptive design, incorporating interviews and secondary data to analyze user experiences within Alion Kapit-Bisig Sea-K Association and Samahang Kababaihan ng Conversion. Findings revealed that CNPS significantly enhanced productivity, product quality, and revenue generation, as users reported streamlined operations and higher-grade products. However, transitioning from traditional methods posed challenges, including technical skill requirements, maintenance efforts, and spare part availability. Despite these constraints, the system’s user-friendliness, cost-effectiveness, and positive influence on collaboration and efficiency facilitated its adoption among small-scale processors. To address identified challenges, recommendations include expanded training programs, ongoing technical support, and exploration of automation to reduce manual labor. These measures aim to enhance CNPS utilization, promote sustainable practices, and empower small-scale processors to thrive in competitive markets.

Social Cost-Benefit Analysis (SCBA) is a key evaluative tool used to determine the economic and s... more Social Cost-Benefit Analysis (SCBA) is a key evaluative tool used to determine the economic and social feasibility of proposed projects from a societal perspective. It supports national planning by guiding resource allocation across sectors. Institutions such as UNIDO and OECD have developed methodologies for quantifying social costs and benefits. This paper explores the emergence and application of social accounting in India, particularly in the aftermath of the Bhopal Gas Tragedy, which acted as a catalyst for institutional reforms. The Government of India, along with leading corporates—such as Tata Group, Infosys, ITC, Bharti Enterprises, and Indian Oil—have taken significant strides in integrating Corporate Social Responsibility (CSR) into business practices. The Companies Act, 2013, mandates eligible companies to invest 2% of their average net profits in CSR, reinforcing social accountability. This paper analyzes current trends, frameworks, and corporate initiatives contributing to social accounting practices in India.

Agriculture is a crucial sector that faces challenges, such as water scarcity, inefficient irriga... more Agriculture is a crucial sector that faces challenges, such as water scarcity, inefficient irrigation techniques, and increasing global food demand. The integration of the Internet of Things (IoT) into smart irrigation systems enhances water management, conserves resources, and improves crop yield. This study presents an IoT-based smart irrigation system that utilizes real-time environmental data to optimize irrigation schedules. This system employs soil moisture sensors, weather forecasting, and cloud computing to facilitate precise irrigation. This study demonstrates that the proposed system enhances efficiency while reducing water consumption. These results highlight the significance of automation in modern agriculture and its impact on sustainability and food security.

This conceptual review investigates the emerging paradigm of Social Media Wellness (SMW) and its ... more This conceptual review investigates the emerging paradigm of Social Media Wellness (SMW) and its potential implications for family relationships. It synthesizes literature on digital engagement behaviors, psychological and social outcomes of excessive platform usage, and proposes a theoretical lens to understand how digital well-being aligns with familial cohesion. Drawing on interdisciplinary research, this review emphasizes how digital routines, emotional reliance on online interactions, and constant connectivity can affect the emotional climate of households. The review offers a framework for future empirical studies and highlights the importance of awareness among individuals, educators, and policymakers to ensure healthier digital-social integration.

Since the onset of the COVID-19 pandemic, thousands of clinical trials have been launched to eval... more Since the onset of the COVID-19 pandemic, thousands of clinical trials have been launched to evaluate the effectiveness of interventions aimed at preventing or treating the virus. While many of these studies reached completion, a notable proportion were prematurely cessated. Using a comprehensive XML dataset of 5,783 COVID-19 trials registered on ClinicalTrials.gov, we developed a machine learning model to predict whether a trial was likely to be completed or cessated. Our findings, supported by token frequency analysis, highlighted those specific variables, namely the type of intervention and the trial location, played a significant role in distinguishing between outcomes. Trials that included ‘hydroxychloroquine’ or ‘azithromycin’ as interventions, and those conducted in locations such as ‘France,’ were more frequently associated with early cessation, reflecting shifting scientific consensus and regulatory changes over time.

The study aims to investigate how first-year students select a career in the hospitality and tour... more The study aims to investigate how first-year students select a career in the hospitality and tourism industry. As the industry is growing globally, it is important to know students' motivation, perception, and career expectations to create development plans in alignment with their goals. It is surveyed using the Likert scale, which investigates the factors that have significant influence, such as personal interest, family, industry growth, and education. The result shed the foundation for designing an individualized career development plan to encourage students' academic progress while contributing towards their prepared future in hospitality and tourism management.

The journey of AI development has changed the face of technology and put humans into a new race. ... more The journey of AI development has changed the face of technology and put humans into a new race. Along with excelling in technical fields, AI has proved its worth in finance and business. Initially, commercial roles, including marketing, were a very cornered topic when mixed with technology, but with the dynamic shift in technology-driven businesses, AI-business strategies are breaking limitations. This research paper explores the integration of AI in the world of digital marketing and its implementation for growth in digital marketing.

This study analyzed the influence of Human Resource Management (HRM) practices, workplace culture... more This study analyzed the influence of Human Resource Management (HRM) practices, workplace culture, and training and development on employee performance at National Irrigation Administration (NIA) – Upper Pampanga River Integrated Irrigation Systems (UPRIIS), Division II, in Talavera, Nueva Ecija. Using a quantitative research design, data were collected from 84 employees through a structured Likert-scale questionnaire. Descriptive statistics.......

Achievement of transmission (full duplex) over single fiber is a challenge for researchers for Wa... more Achievement of transmission (full duplex) over single fiber is a challenge for researchers for Wavelength Division Multiplexed Passive Optical Networks. There are many schemes available but they suffer from transmission issues because of using transmissions on the same wavelength with bidirectional transmissions. This results in the reduction of transmission distances between optical fiber terminal equipment and the optical network units. This happens because Rayleigh’ backscattering noise and there is a need to reduce that noise substantially. In this research work channels capacity Dense Wavelength Division Multiplexing (DWDM), Passive Optical Networks (PON) are simulated after extensive testing. The main aim is enhancing the capacity over a distance with less bit error rates. This was achieved through the design optimization using Rayleigh’ Backscattering elimination technique thus enhancing the performance.

The research examines the impact of Taiwan's 2024 pedestrian safety policy amendment, which incre... more The research examines the impact of Taiwan's 2024 pedestrian safety policy amendment, which increased penalties for failing to yield to pedestrians. Analysis of 528 data points from 2023-2024 using a Difference-in-Difference (DID) methodology revealed significant temporal and spatial variations in effectiveness. Early 2024 showed increased accident rates, particularly in January, but demonstrated improvement by mid-year, with notable reductions in July—August compared to 2023. Infrastructure analysis indicated varying risk levels across intersection types, with unsigned intersections showing the highest risk coefficient and signalized intersections and flashing-signal intersections having the lowest risk. Metropolitan areas exhibited more significant fluctuations than rural regions. Based on these findings, the study recommends implementing differentiated time management mechanisms, prioritizing infrastructure improvements at high-risk intersections, and establishing region-specific enforcement strategies. Additionally, the research emphasizes the importance of enhancing pedestrian safety education and driver awareness to address Taiwan's longstanding "car-superior" traffic culture and improve overall road safety outcomes.

Urban traffic congestions cause delays and ineffi- cient fuel expenditure in cities. Regular fixe... more Urban traffic congestions cause delays and ineffi- cient fuel expenditure in cities. Regular fixed-time-based traffic systems are not able to respond quickly to real-time conditions and thus cannot manage traffic efficiently. This paper proposes an adaptive traffic control system using an Arduino microcontroller to automatically adjust signal timings based on vehicle density detected by IR sensors. Moving traffic is monitored by the system in real-time to optimize signal changes for better flow and reduce congestions. The other technology associated is RFID, which creates a foolproof emergency vehicle pass using minimal time delay at intersections. The system provides priority to emergency vehicles while optimizing other traffic. This system improves the efficiency of traffic and decreases the waiting time, which enables better road clearance for emergency service vehicles. The model is cost-effective, very adaptable, and promises a great step forward in urban traffic management.

The Criminologist Licensure Examination (CLE) marked a significant milestone as the first conduct... more The Criminologist Licensure Examination (CLE) marked a significant milestone as the first conducted under the new Commission on Higher Education Memorandum Order (CMO) for Criminology and Republic Act No. 11131. This pioneering batch consisted primarily of K-12 program graduates, many of whom experienced online learning due to the global pandemic. Against this backdrop, the college’s institutional performance in the CLE has shown a declining trend in recent years, raising concerns about the preparedness of its graduates and its overall standing. This study aimed to assess the college’s CLE performance over the past six years, spanning twelve examination periods, and to analyze examinees' results across the six major criminology subject areas. Using the Documentary and Archival Inquiry Research Method, institutional performance data from April 2016 to December 2022 were obtained from the Professional Regulation Commission (PRC) website, while individual subject performance data were collected directly from examinees. Descriptive statistical tools, including frequency counts, mean scores, and percentages, were employed for data analysis. Findings revealed that the college exceeded the national passing percentage in only three out of twelve examinations (25%). Among the six major subject areas, "Correctional Administration" recorded the highest mean score (82.22%), whereas "Criminology" had the lowest (75.88%). These results underscore the need for targeted interventions to address performance gaps and enhance the overall quality of criminology education. This study provides valuable insights into institutional trends and key areas for improvement, offering a foundation for strategic reforms in criminology education and licensure preparation.

Green logistics has become a viable option as environmental concerns grow. Green logistics is the... more Green logistics has become a viable option as environmental concerns grow. Green logistics is the process of incorporating environmental concerns into supply chain management in order to enhance suppliers' and customers' environmental performance and, as a result, change the way the business operates. Green Logistics refers to as a strategy for providing services that improve the environment, economy, and social sustainability. Therefore, Green practices must be implemented from the very beginning in order to practice ecologically responsible logistics. This paper explores the concept of green logistics, green logistics practices or strategies that need to implement, and real world application of green techniques in the logistics industry in India.

The objective of this article is to examine whether decision makers of small and medium enterpris... more The objective of this article is to examine whether decision makers of small and medium enterprises (SMEs) are familiar with the most common strategy methods. To this end, a survey was conducted among decision-makers (presidents, owners, managing directors & CEOs) of SMEs to determine their knowledge of standard strategy methods which were identified for this investigation as SWOT-Match, Competitive Profile Matrix (CPM), Strategic Position & Action Evolution Matrix (SPACE-Matrix), Boston Consulting Group Matrix (BCG-Matrix), Internal & External Matrix (IE-Matrix), and the Grand Strategy Matrix (GSM). The results showed that approx. 50% do not know any strategy method at all and approx. 60% have never used strategy methods in their professional life. This confirms the assumption that SME decision-makers have limited knowledge of strategy methods, strategy development and planning. In addition, the standard methods were evaluated by 2 participants for their suitability, and they gave an assessment of whether formalized strategic planning is helpful for the long-term success of SMEs.

The main objective of this study is to determine the relationship between various PSQ (Perceived ... more The main objective of this study is to determine the relationship between various PSQ (Perceived Service Quality) elements and customer satisfaction levels in the telecom business. In terms of customer satisfaction, the Corporate Image factor serves as a mediator between PSQ and CS. The conceptual model and the hypotheses that were drawn from the literature are put forth. Members of the target population telecom businesses were used, and questionnaires were used to collect data. The relationships between PSQ (Perceived Service Quality) and CS (Customer Satisfaction) are mediated by CI (Corporate Image), according to the data analysis results. There was a significant correlation found between customer satisfaction and the PSQ aspects of Tangibles, Reliability, Responsiveness, Assurance, and Empathy. The findings of this study recommend that telecom companies enhance the aspects of their service quality to raise customer satisfaction. Customers will become more loyal as a result, and businesses will be able to hold onto them for longer. A larger sample size may yield a more thorough analysis of this crucial issue.

This study aimed to assess the perception levels of undergraduate nursing students toward Simulat... more This study aimed to assess the perception levels of undergraduate nursing students toward Simulation-Based Learning in Nursing and to examine the association between perception levels and demographic characteristics. A non-experimental, cross-sectional quantitative design was employed, involving 171 undergraduate nursing students from selected institutions in Vellore and Dharmapuri Districts of Tamil Nadu. Participants were selected using a purposive sampling technique, and data were collected using a structured self-report instrument based on the Simulation Perception Scale. The data analysis included descriptive statistics and chi-square tests for association at a 0.05 significance level. Results indicated that students demonstrated a favourable perception toward SBL, with 75.22% of participants reporting a positive view. The highest mean score was noted in the domain of Use and Effectiveness of Simulation (Mean % = 84.4), followed by Technological Integration (76.2%). Institutional Support scored moderately (68.0%), while Perceived Barriers scored the lowest (48.2%). No statistically significant association was found between perception levels and demographic variables such as age, gender, year of study, or prior exposure to simulation (p > 0.05). Overall, students exhibited a generally positive perception towards Simulation-Based Learning in Nursing. The findings emphasize the importance of integrating simulation into nursing education to enhance learning outcomes. Continued efforts are required to address perceived barriers and improve institutional support for effective implementation of simulation-based strategies in nursing education.

This report explores the application of Artificial Neural Networks (ANN) in autonomous vehicles, ... more This report explores the application of Artificial Neural Networks (ANN) in autonomous vehicles, focusing on their role in perception, decision-making, and control systems. The analysis is based on recent research and developments, highlighting the advantages and challenges of integrating ANN in autonomous driving technology.

The upcoming wave of 5G technology marks a new age in digital communication, promising to boost n... more The upcoming wave of 5G technology marks a new age in digital communication, promising to boost network performance to unprecedented heights through faster data rates, more reliability, and efficiency. The evolution of beamforming techniques lies at the heart of this technical leap, as it considerably improves signal directionality and strength, optimizing network coverage and decreasing interference. Despite significant advances in beamforming technology, issues such as algorithmic complexity, effective resource usage, and adaptation to changing environmental circumstances demand continued investigation. This research proposal seeks to investigate unique beamforming algorithms designed specifically for 5G networks, to address these problems and foster an evolution in network capabilities. This study aims to identify critical research gaps and suggest a unique research trajectory focused on developing better beamforming algorithms by thoroughly analyzing existing literature and thoroughly examining current beamforming applications inside 5G networks. Using a mixed-methods research style that combines theoretical analysis with practical experience, the project aims to build a dynamic beamforming framework that is both powerefficient and highly flexible to various operating situations. This research is expected to result in considerable improvements in network efficiency, lower latency, and a better overall user experience.

The UAE has one of the world's highest net migration rates, and the number of workers from countr... more The UAE has one of the world's highest net migration rates, and the number of workers from countries such as India, the Philippines, Indonesia, Australia, and the USA, among others, has increased significantly in recent decades (Burns, 2005). This study examines salary brackets for various nationalities in the United Arab Emirates (UAE), focusing on compensation structures and equity. The UAE's cross-border mobility has resulted in the interaction of people with diverse languages, customs, and ethnic backgrounds. Although diversity has been shown to have several benefits, including enhanced employee creativity and competence, this recognition is often found more in theory than in actual practice. Understanding how salaries are structured among different nationalities is essential for recognizing discrepancies and supporting equitable compensation practices, especially given the diversified expatriate workforce in the United Arab Emirates. The study analyzes differences in salary ranges, benefits, and employment packages among various national groups through qualitative interviews with HR experts and workers. The various nationalities in the UAE that have a significant influence on salary levels, which are determined by work position, tenure, and negotiation ability, would greatly benefit from the study's findings. The study highlights significant areas in which discrepancies remain and makes recommendations for improving pay equity, including modifications to policies along with greater pay structure transparency. Employers and leaders in the United Arab Emirates can benefit from the knowledge this study offers, as it contributes to the broader conversation on inclusion and equity in international recruiting practices.

Alzheimer’s Disease (AD) is a complex brain disorder involving memory loss and cognitive decline.... more Alzheimer’s Disease (AD) is a complex brain disorder involving memory loss and cognitive decline. This review highlights recent progress in understanding how certain genes and brain pathways contribute to the disease. It also explores the role of plant-based compounds, such as curcumin and silymarin, in reducing brain inflammation and protein buildup. Advances in computer-based drug design and personalized medicine are discussed, along with the ongoing challenges in developing treatments that are both effective and easy for the brain to absorb. A combined approach using genetics, natural therapies, and technology may offer better solutions for managing AD.

This study explores the impact, challenges, and adoption of the Cashew Nut Processing System (CNP... more This study explores the impact, challenges, and adoption of the Cashew Nut Processing System (CNPS) generated by the Philippine Center for Postharvest Development and Mechanization (PHilMech). The research utilized a descriptive design, incorporating interviews and secondary data to analyze user experiences within Alion Kapit-Bisig Sea-K Association and Samahang Kababaihan ng Conversion. Findings revealed that CNPS significantly enhanced productivity, product quality, and revenue generation, as users reported streamlined operations and higher-grade products. However, transitioning from traditional methods posed challenges, including technical skill requirements, maintenance efforts, and spare part availability. Despite these constraints, the system’s user-friendliness, cost-effectiveness, and positive influence on collaboration and efficiency facilitated its adoption among small-scale processors. To address identified challenges, recommendations include expanded training programs, ongoing technical support, and exploration of automation to reduce manual labor. These measures aim to enhance CNPS utilization, promote sustainable practices, and empower small-scale processors to thrive in competitive markets.

Social Cost-Benefit Analysis (SCBA) is a key evaluative tool used to determine the economic and s... more Social Cost-Benefit Analysis (SCBA) is a key evaluative tool used to determine the economic and social feasibility of proposed projects from a societal perspective. It supports national planning by guiding resource allocation across sectors. Institutions such as UNIDO and OECD have developed methodologies for quantifying social costs and benefits. This paper explores the emergence and application of social accounting in India, particularly in the aftermath of the Bhopal Gas Tragedy, which acted as a catalyst for institutional reforms. The Government of India, along with leading corporates—such as Tata Group, Infosys, ITC, Bharti Enterprises, and Indian Oil—have taken significant strides in integrating Corporate Social Responsibility (CSR) into business practices. The Companies Act, 2013, mandates eligible companies to invest 2% of their average net profits in CSR, reinforcing social accountability. This paper analyzes current trends, frameworks, and corporate initiatives contributing to social accounting practices in India.

Agriculture is a crucial sector that faces challenges, such as water scarcity, inefficient irriga... more Agriculture is a crucial sector that faces challenges, such as water scarcity, inefficient irrigation techniques, and increasing global food demand. The integration of the Internet of Things (IoT) into smart irrigation systems enhances water management, conserves resources, and improves crop yield. This study presents an IoT-based smart irrigation system that utilizes real-time environmental data to optimize irrigation schedules. This system employs soil moisture sensors, weather forecasting, and cloud computing to facilitate precise irrigation. This study demonstrates that the proposed system enhances efficiency while reducing water consumption. These results highlight the significance of automation in modern agriculture and its impact on sustainability and food security.

This conceptual review investigates the emerging paradigm of Social Media Wellness (SMW) and its ... more This conceptual review investigates the emerging paradigm of Social Media Wellness (SMW) and its potential implications for family relationships. It synthesizes literature on digital engagement behaviors, psychological and social outcomes of excessive platform usage, and proposes a theoretical lens to understand how digital well-being aligns with familial cohesion. Drawing on interdisciplinary research, this review emphasizes how digital routines, emotional reliance on online interactions, and constant connectivity can affect the emotional climate of households. The review offers a framework for future empirical studies and highlights the importance of awareness among individuals, educators, and policymakers to ensure healthier digital-social integration.

Since the onset of the COVID-19 pandemic, thousands of clinical trials have been launched to eval... more Since the onset of the COVID-19 pandemic, thousands of clinical trials have been launched to evaluate the effectiveness of interventions aimed at preventing or treating the virus. While many of these studies reached completion, a notable proportion were prematurely cessated. Using a comprehensive XML dataset of 5,783 COVID-19 trials registered on ClinicalTrials.gov, we developed a machine learning model to predict whether a trial was likely to be completed or cessated. Our findings, supported by token frequency analysis, highlighted those specific variables, namely the type of intervention and the trial location, played a significant role in distinguishing between outcomes. Trials that included ‘hydroxychloroquine’ or ‘azithromycin’ as interventions, and those conducted in locations such as ‘France,’ were more frequently associated with early cessation, reflecting shifting scientific consensus and regulatory changes over time.

The study aims to investigate how first-year students select a career in the hospitality and tour... more The study aims to investigate how first-year students select a career in the hospitality and tourism industry. As the industry is growing globally, it is important to know students' motivation, perception, and career expectations to create development plans in alignment with their goals. It is surveyed using the Likert scale, which investigates the factors that have significant influence, such as personal interest, family, industry growth, and education. The result shed the foundation for designing an individualized career development plan to encourage students' academic progress while contributing towards their prepared future in hospitality and tourism management.

The journey of AI development has changed the face of technology and put humans into a new race. ... more The journey of AI development has changed the face of technology and put humans into a new race. Along with excelling in technical fields, AI has proved its worth in finance and business. Initially, commercial roles, including marketing, were a very cornered topic when mixed with technology, but with the dynamic shift in technology-driven businesses, AI-business strategies are breaking limitations. This research paper explores the integration of AI in the world of digital marketing and its implementation for growth in digital marketing.

This study analyzed the influence of Human Resource Management (HRM) practices, workplace culture... more This study analyzed the influence of Human Resource Management (HRM) practices, workplace culture, and training and development on employee performance at National Irrigation Administration (NIA) – Upper Pampanga River Integrated Irrigation Systems (UPRIIS), Division II, in Talavera, Nueva Ecija. Using a quantitative research design, data were collected from 84 employees through a structured Likert-scale questionnaire. Descriptive statistics.......

Achievement of transmission (full duplex) over single fiber is a challenge for researchers for Wa... more Achievement of transmission (full duplex) over single fiber is a challenge for researchers for Wavelength Division Multiplexed Passive Optical Networks. There are many schemes available but they suffer from transmission issues because of using transmissions on the same wavelength with bidirectional transmissions. This results in the reduction of transmission distances between optical fiber terminal equipment and the optical network units. This happens because Rayleigh’ backscattering noise and there is a need to reduce that noise substantially. In this research work channels capacity Dense Wavelength Division Multiplexing (DWDM), Passive Optical Networks (PON) are simulated after extensive testing. The main aim is enhancing the capacity over a distance with less bit error rates. This was achieved through the design optimization using Rayleigh’ Backscattering elimination technique thus enhancing the performance.

The research examines the impact of Taiwan's 2024 pedestrian safety policy amendment, which incre... more The research examines the impact of Taiwan's 2024 pedestrian safety policy amendment, which increased penalties for failing to yield to pedestrians. Analysis of 528 data points from 2023-2024 using a Difference-in-Difference (DID) methodology revealed significant temporal and spatial variations in effectiveness. Early 2024 showed increased accident rates, particularly in January, but demonstrated improvement by mid-year, with notable reductions in July—August compared to 2023. Infrastructure analysis indicated varying risk levels across intersection types, with unsigned intersections showing the highest risk coefficient and signalized intersections and flashing-signal intersections having the lowest risk. Metropolitan areas exhibited more significant fluctuations than rural regions. Based on these findings, the study recommends implementing differentiated time management mechanisms, prioritizing infrastructure improvements at high-risk intersections, and establishing region-specific enforcement strategies. Additionally, the research emphasizes the importance of enhancing pedestrian safety education and driver awareness to address Taiwan's longstanding "car-superior" traffic culture and improve overall road safety outcomes.

Urban traffic congestions cause delays and ineffi- cient fuel expenditure in cities. Regular fixe... more Urban traffic congestions cause delays and ineffi- cient fuel expenditure in cities. Regular fixed-time-based traffic systems are not able to respond quickly to real-time conditions and thus cannot manage traffic efficiently. This paper proposes an adaptive traffic control system using an Arduino microcontroller to automatically adjust signal timings based on vehicle density detected by IR sensors. Moving traffic is monitored by the system in real-time to optimize signal changes for better flow and reduce congestions. The other technology associated is RFID, which creates a foolproof emergency vehicle pass using minimal time delay at intersections. The system provides priority to emergency vehicles while optimizing other traffic. This system improves the efficiency of traffic and decreases the waiting time, which enables better road clearance for emergency service vehicles. The model is cost-effective, very adaptable, and promises a great step forward in urban traffic management.

The Criminologist Licensure Examination (CLE) marked a significant milestone as the first conduct... more The Criminologist Licensure Examination (CLE) marked a significant milestone as the first conducted under the new Commission on Higher Education Memorandum Order (CMO) for Criminology and Republic Act No. 11131. This pioneering batch consisted primarily of K-12 program graduates, many of whom experienced online learning due to the global pandemic. Against this backdrop, the college’s institutional performance in the CLE has shown a declining trend in recent years, raising concerns about the preparedness of its graduates and its overall standing. This study aimed to assess the college’s CLE performance over the past six years, spanning twelve examination periods, and to analyze examinees' results across the six major criminology subject areas. Using the Documentary and Archival Inquiry Research Method, institutional performance data from April 2016 to December 2022 were obtained from the Professional Regulation Commission (PRC) website, while individual subject performance data were collected directly from examinees. Descriptive statistical tools, including frequency counts, mean scores, and percentages, were employed for data analysis. Findings revealed that the college exceeded the national passing percentage in only three out of twelve examinations (25%). Among the six major subject areas, "Correctional Administration" recorded the highest mean score (82.22%), whereas "Criminology" had the lowest (75.88%). These results underscore the need for targeted interventions to address performance gaps and enhance the overall quality of criminology education. This study provides valuable insights into institutional trends and key areas for improvement, offering a foundation for strategic reforms in criminology education and licensure preparation.

— Cloud computing is an online primarily based computing. This computing paradigm has increased t... more — Cloud computing is an online primarily based computing. This computing paradigm has increased the employment of network wherever the potential of 1 node may be used by alternative node. Cloud provides services on demand to distributive resources like info, servers, software, infrastructure etc. in pay as you go basis. Load reconciliation is one amongst the vexing problems in distributed atmosphere. Resources of service supplier have to be compelled to balance the load of shopper request. Totally different load reconciliation algorithms are planned so as to manage the resources of service supplier with efficiency and effectively. This paper presents a comparison of assorted policies used for load reconciliation. Keywords— Cloud computing, virtual machines, cloud service provider, load balancing, cloud analyst.

There are 1,615 species and sub species of butterflies in the entire Philippines (C.R Baltazar, 1... more There are 1,615 species and sub species of butterflies in the entire Philippines (C.R Baltazar, 1991), LUBG San Fernando La Union has 104 species recorded they belong to 6 families and 66 genera(Nacua et al2015).In Manila,Nacua (2016) 22 species of butterflies belong to 6 families 17 genera were also recorded. Thisstudyseeks to determine the species composition, conservation status, richness and abundance of butterflies in the town of Bulusukan, a community in San Ildefonso, Bulacan province (Luzon Island, Philippines). The opportunistic transect sampling method was used to collect butterflies. Collection was done at daytime on August 6, 2016 from 8 am up to 5 pm in areas with GPS of 15°04'26.0652"northand 121°02'39.9588"east near the vicinity of Bulusukan Cave.Species richness and butterfly diversity in all areas sampled was calculated. A dendogram showing 75% species abundance was accounted and comes mostly from the secondary dipterocarp forest. Graphium antiphates Cramer, Ypthima semperaand Ptychandra lorquini-lorquini were found to be endemic to Bulusukan. Butterflies were observed to be attracted to shady forest areas consisting of mosses clinging on metamorphic rocks along a river and includes species from the families Nymphalidae and Papilionidae. This study was able to identify 21 butterfly species with 19 genera 2 of them are rare and 2 endemic species of butterflies in Bulusukan. It is recommended to continue further study for wet and dry season.