International Journal of Advanced Engineering, Management and Science
International Journal of Advanced Engineering, Management and Science (IJAEMS)(ISSN:2454-1311) (Infogain Publication) is an international open-access Double-Blind Peer Reviewed "Engineering Journal | Management Journal | Humanities and Social Science Journal ". It’s main aim is to give quality research papers. It covers all sub-fields of the above-mentioned fields. It provides a platform for academicians, researchers and professionals. It publishes only original research papers. The submitted paper should meet some criteria like the manuscript/ paper should be original, unpublished, not submitted to any other journal and plagiarism-free.
Applications and Challenges of Artificial Neural Networks in Autonomous Vehicle Technology
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.
Beamforming for 5G: A Comprehensive Analysis and Implementation
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.
Exploring Salary Brackets for Different Nationalities in the UAE: An Analysis of Compensation Structures and Equity
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.
Integrative Molecular and Phytotherapeutic Strategies in Alzheimer’s Disease: A Review of Advances in Pathogenesis, Genetic Markers, And Natural Drug Design
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.
Evaluating Farmer Preferences for Rice Seed Varieties in the Science City of Muñoz
This study evaluates the preferences of rice farmers in the Science City of Muñoz for seed varieties distributed under the Seed Program of the Rice Competitiveness Enhancement Fund (RCEF). The study focuses on key traits farmers value, such as yield potential, adaptability to soil and climate, grain quality, and resistance to pests and diseases. The research aims to improve the alignment between distributed seed varieties and farmer needs by understanding these preferences. The study utilizes a descriptive design, and data were collected from farmers in barangays across the Science City of Muñoz using surveys. The findings revealed that farmers prioritize yield potential and adaptability, while pest resistance and market demand play secondary roles. The study emphasizes the importance of aligning seed distribution policies with farmer preferences and suggests enhancing technical support and sustainable farming practices to boost satisfaction and agricultural productivity.
Impact and Challenges of the Cashew Nut Processing System: An Analysis of Users’ Experiences
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.
Beyond Profits: India’s Journey in Social Accounting and Responsibility
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 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.
The Quiet Consequences of Scrolling: Conceptualizing Social Media Wellness
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.
Using Tokenization and Random Forest Models to Predict Pandemic Trial Outcomes
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.
Factors Influencing Career Choices Among First-Year Students: Focus on Hospitality and Tourism Management
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.
Impact of Artificial Intelligence in Space of Digital Marketing
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.
The Influence of HRM Practices, Workplace Culture, and Training on Employee Performance
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.......
Mitigation of Rayleigh Backscattering in WDM Passive Optical Access Networks
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 Impact of Enforcement on Pedestrians: A Difference-in-Difference Model for Transportation Safety Policy in Taiwan
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.
Density Based Traffic Control System and Emergency Vehicle Detection Using Arduino
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.
Trends in Criminologist Licensure Examination Performance: A Study of Criminology Graduates from Capiz State University
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.
Criminologist Licensure Examination (CLE)
Professional Regulation Commission (PRC)
The Impact of Workplace Culture on Business Performance: A Psychological Approach
Workplace culture significantly influences business performance, employee engagement, and organizational success. A positive and psychologically sound workplace environment fosters motivation, productivity, and innovation, while a toxic culture can lead to disengagement, high turnover, and business failure. This paper explores the psychological foundations of workplace culture, including theories of motivation, emotional intelligence, and behavioral psychology. It examines how culture affects decision-making, leadership effectiveness, and employee well-being. The study concludes that businesses that invest in cultivating a strong, inclusive, and psychologically supportive culture achieve long-term success and competitive advantage.
The Role of Organizational Psychology in Enhancing Employee Well-Being
Employee well-being is a crucial determinant of organizational success, impacting productivity, engagement, and overall morale. Organizations that prioritize the well-being of their employees tend to experience higher levels of job satisfaction, reduced turnover, and improved performance. Organizational psychology provides a comprehensive framework to analyze and enhance employee well-being by addressing fundamental factors such as organizational culture, leadership, job design, and interpersonal dynamics. This paper explores the intricate relationship between organizational psychology and employee well-being, highlighting how psychological theories and research can be applied to create healthier work environments. Organizational culture plays a significant role in shaping employees' perceptions of their workplace, influencing their motivation and commitment. Leadership practices, including communication, support, and trust-building, are pivotal in fostering a positive and inclusive work atmosphere that enhances well-being. Job design, which encompasses the alignment of tasks with employees’ skills, interests, and values, contributes to job satisfaction and reduces stress. Interpersonal dynamics, including team collaboration and conflict resolution, also significantly impact emotional well-being and workplace harmony. The paper further presents evidence-based strategies to improve employee well-being. These strategies include fostering a positive organizational culture, promoting transformational leadership, offering opportunities for personal and professional growth, and implementing flexible work arrangements. By applying principles from organizational psychology, companies can not only enhance employee well-being but also achieve greater organizational success through increased productivity, improved employee engagement, and higher retention rates. In conclusion, the integration of organizational psychology principles into everyday business practices is essential for cultivating a supportive and thriving work environment. By focusing on employee well-being, organizations can create a sustainable, positive workplace that drives long-term success.
Sharing for Better or Worse: How Social Media and Online Information Sharing Influence Individual Well-Being
Social media has significantly influenced how individuals share information, impacting their behavior and well-being. This study examines the impact of determinants of information sharing on social media platforms—Attitude, Intention to Share, Frequency of Sharing, Privacy Risk, and Perceived Control on the well-being of individuals. Data was collected from 116 respondents in the Punjab region using convenience sampling via Google Forms. The study employed Cronbach’s Alpha to assess reliability, while correlation and regression analyses were conducted using SPSS to examine relationships between variables. Results indicate that Perceived Control over shared information is the strongest predictor of well-being, whereas other factors influence sharing behavior but do not directly enhance well-being. The findings highlight the importance of user autonomy and privacy controls in promoting a positive digital experience.
The Role of Sales and Technology Integration in Increasing Sales Revenue in the Corporate Market
An organizations sales and technology synergy is a vital source of market intelligence and a key facilitator of the successful implementation of technocommercial strategy Many companies have traditionally operated in isolated silos with little interaction between their technology and sales departments But more businesses have realized in recent years how beneficial it is to connect these functions Significant gains in overall company performance have been attributed to this strategic merger A particular facet of the connection between improved business performance and salestechnology integration is examined in this research study More specifically it examines whether the seamless engagement between technology and sales operations in businesstobusiness B2B businesses makes it easier to develop and to execute newstrategies effectively due to market shifts The proposed model indicates that the success of market intelligence acquisitionin an organization can be largely predicted by the extent of interaction among some key variables where this interaction defines the level of integration This knowledge when applied effectively alsoassists businesses in responding strategically and adapting to changing consumer needs and market conditions This study aims to be able to uncover the complex relationships between various components in order to facilitate trends in the market and stimulateproactive responses It calls for a comprehensive strategy that can build a sustainable competitive advantage in an evolvingbusiness environment and argues for the importance of breaking down traditional lines of separation between sales and technology roles
Food and Beverage Industry in Post-Pandemic: Business Strategies and Profitability
The study focused on how the food and beverage industry in Nueva Ecija faced the challenges brought about by the pandemic and remained lucrative post-pandemic. This study on marketing, operation, management, and financial involvement is essential in the industry to address tension from the global crisis. Digital marketing tools are essential for the marketing and operations of food and beverage businesses. Most of the establishments incorporate in their ventures the use of technologies such as social media sites, ordering applications online, and other digital applications that would bring in more profit. The changeover attracts more customers, saves on costs, and generates more income. Financial turnover, personnel training, superior customer service, and technological investment enhance operational efficiency and cost savings. To survive, management must be agile, flexible, and prompt. It has to handle the establishment's resources prudently, and its financial policy must be readjusted immediately. Health and safety protocols must also be updated because this is one way the establishment will be prevented from financial constraints. It must focus on budgeting, debt arrears, and cost controls with much caution because these are its securities against economic outcomes. The present study shall provide practical guidance for the food and beverage industry stakeholders desirous of success post-pandemic. It emphasizes the measures the institution has taken to contain the crisis and, in general, outlines a vision for long-term growth and stability in the industry.
Handover Optimization Scheme for 5G Heterogeneous Network
The worldwide boom in the use of wireless services has led to previously unheard-of levels of expansion for mobile connections and apps. Data traffic has increased dramatically as a result of this rise in activity, which has led to a research into solutions to meet this need. mm wave bands and very dense deployment are two of main features of fifth-generation (5G) networks. These solutions have resulted in a noticeable increase in the frequency of handovers (HOs), which has raised the incidence of dropped calls and unnecessary handovers. In order to address these problems during user mobility, it becomes imperative to optimize the control parameters associated with handovers. This research contribution provides a self-optimizing handover technique that leverages fuzzy coordination to enable smooth handovers as users move across multi-radio access networks. The suggested technique employs a fuzzy system that takes into account the S/I (signal-to-interference) plus noise ratio, cell load & user equipment speed to effectively balance the opposing requirements of mobility resilience and load balancing. The suggested approach effectively manages and optimizes mobility in a variety of mobile speed circumstances, decreasing ping-pong handovers, radio link failures, and handover delay. This is shown by simulation results. Additionally, the proposed technique greatly minimizes the outage probability when compared to other schemes discovered in the existing literature.
The Control Analysis of Single Capacity Water Tank Liquid Level System Based on PSO Optimized Fuzzy PID
The liquid level automatic control system of a single-capacity water tank is a common industrial process control system, which is widely used in industrial production. Through simulation research, it can effectively ensure the stability of the liquid level of the water tank and meet the requirements of liquid level control in the production process. In this paper, the automatic control system model of a single-volume water tank level is established by MATLAB/Simulink, and its control system is studied and compared. Firstly, the physical modeling of the control system is carried out to obtain its transfer function, which is the basis for subsequent simulation. Then, the influence of Proportional–Integral–Derivative (PID) control parameters on the dynamic characteristic curve of the system is understood, and then the characteristics and application occasions of fuzzy PID control and Particle-Swarm-Optimization (PSO) control are deduced. Finally, the system dynamic characteristic curves of PID control, fuzzy PID control, and PSO control are compared and analyzed. The simulation results show that PID control, fuzzy PID control, and PSO control are suitable for different occasions, and appropriate control strategies can be adopted according to different control system conditions.
Particle-Swarm-Optimization (PSO) particle swarm optimization algorithm
Women's Economic Empowerment through Microfinance - Role of Cooperative Banks of Maharashtra and Karnataka: A Comparative Analysis
Economic empowerment is a critical driver for achieving gender equality, poverty reduction, and inclusive growth. This study examines the pivotal role of District Central Cooperative (DCC) Banks in empowering women through Self-Help Groups (SHGs) in Maharashtra and Karnataka. By analyzing secondary data from NABARD reports and other scholarly sources, the research compares the growth trajectories, savings patterns, and loan disbursement trends across the two states from 2018-19 to 2022-23. The findings reveal that Maharashtra experienced rapid SHG expansion and increased loan disbursement, while Karnataka maintained higher per-group financial support despite slower growth. The study underscores the importance of cooperative banks in enhancing financial access, promoting savings, and facilitating credit for women SHGs, ultimately contributing to their economic empowerment. Recommendations include targeted regional strategies, financial literacy programs, and digital banking solutions to sustain and expand women’s financial inclusion.
Job Satisfaction Determinants Among Faculty Members: A Comprehensive Analysis of College of Management and Business Technology
This study explores the job satisfaction of faculty members at the College of Management, Business, and Technology (CMBT). The results indicate high satisfaction levels regarding compensation, recognition, and work-life balance, with faculty members feeling particularly valued by their superiors, colleagues, and students. Opportunities for career growth and the work environment also received positive feedback, though to a slightly lesser extent. Interpersonal relations were highly rated, suggesting strong professional connections within the faculty. This study provides valuable insights into the factors influencing job satisfaction among CMBT faculty, offering guidance for institutional policies to enhance faculty well-being and professional fulfillment.
Integrating AI-Driven Automated Code Review in Agile Development: Benefits, Challenges, and Best Practices
The integration of AI-powered automated code review tools has significantly transformed Agile software development by improving efficiency, maintaining coding standards, and enhancing developer productivity. These tools streamline repetitive tasks, identify potential issues early, and enforce consistency in code quality. However, their adoption comes with challenges such as accuracy constraints, difficulties in integrating with legacy systems, and hesitation among developers. This research employs a mixed-methods approach, combining qualitative and quantitative techniques to examine the benefits, challenges, and best practices associated with AI-driven code reviews. To gather insights, surveys and interviews were conducted with software engineers, DevOps professionals, and Agile practitioners. Additionally, real-world case studies analyzed how organizations have implemented AI-based code reviews, while an experimental study measured performance indicators such as error detection rates, review efficiency, and developer workflow improvements. The findings suggest that AI tools significantly reduce code review time, enhance consistency, and allow developers to concentrate on complex problem-solving rather than manual review processes. However, AI's inability to fully grasp context-sensitive issues, challenges in analyzing complex code logic, and resistance from developers remain notable barriers. Concerns about job security and loss of control over decision-making further contribute to adoption challenges. To overcome these issues, this study emphasizes the importance of a balanced approach where AI tools assist rather than replace human reviewers. Regular training and updates are crucial to improving AI accuracy and keeping pace with evolving coding practices. Gradual integration with existing systems can mitigate compatibility challenges, while transparent communication can help alleviate developer concerns. Additionally, establishing a validation mechanism, where human reviewers verify AI-generated recommendations, can enhance reliability and trust in these tools. In conclusion, while AI-driven automated code reviews offer substantial benefits for Agile teams, their successful implementation depends on strategic deployment, ongoing refinements, and a well-balanced collaboration between AI and human expertise. By following best practices, organizations can optimize AI-assisted code reviews, ultimately improving software quality and streamlining development workflows.
Enhancing Data Security and Transparency: The Role of Blockchain in Decentralized Systems
Blockchain technology has become a game-changer in strengthening data security and transparency within decentralized systems. This study examines its role in tackling major challenges related to data integrity, access control, and auditability, with a focus on industries like finance, decentralized finance (DeFi), and supply chain management. Using data analysis, case studies, and expert opinions, the research highlights how blockchain provides a secure, transparent, and efficient framework for digital transactions. The findings reveal that blockchain enhances security by eliminating weaknesses found in traditional centralized systems. With features like immutable record-keeping, cryptographic encryption, and decentralized control, blockchain ensures transactions remain secure, tamper-proof, and resilient against fraud and cyber threats. Additionally, its ability to maintain a shared, verifiable ledger fosters transparency and builds trust among stakeholders. Smart contracts further improve efficiency by automating processes and ensuring compliance with predefined rules. However, despite its many benefits, blockchain adoption faces hurdles such as scalability challenges, regulatory uncertainties, and integration difficulties. To overcome these barriers, the study suggests developing clear regulatory guidelines, implementing advanced scalability solutions, increasing awareness and technical training, promoting cross-industry collaboration, and adopting hybrid blockchain models that balance security with privacy. In conclusion, this research emphasizes blockchain’s potential to reshape data security and transparency across various sectors. By addressing existing challenges, blockchain can drive innovation, streamline operations, and enhance trust in digital ecosystems.
Economic Suitability of Electronic Fare Meters for Tricycle Drivers in Cabanatuan City
This descriptive study investigated the economic suitability of electronic fare meters for tricycle drivers in Cabanatuan City, Philippines, using a stratified random sampling technique and a self-made survey questionnaire. The research found that tricycle drivers in Cabanatuan City generally operate under a distance-based fare structure with varying passenger ridership and daily income levels. While most drivers were aware of electronic fare meters, their perceptions regarding potential benefits and concerns were mixed. Some expressed concerns about upfront costs and fare reductions, while others acknowledged the potential for fairer fares, improved passenger trust, and easier fare collection. Overall, the findings suggest that electronic fare meters could offer economic benefits for tricycle drivers in Cabanatuan City, particularly through increased efficiency and potentially higher income. However, successful implementation requires careful consideration of driver concerns and the development of strategies to address issues like affordability and potential income fluctuations.
Brand Perceptions and Consumer Purchasing Decisions of Hero MotoCorp in the Philippines
This study analyzes the relationship of Brand Perception and Consumer Purchasing Decision in the context of the Hero MotoCorps in the Philippines. As the motorcycle market rapidly grow in this country, it become the crucial part for businesses to understand the factors influences consumer choice and enhancing their market position. Brand Perception, that encompasses the beliefs and attitudes of consumers about Hero MotoCorps, plays a significant role in shaping their purchasing decisions, the demographic profile affects how consumers view the brand and influence their purchasing decision. By using a quantitative research design and online survey with 150 respondents, highlights that Hero MotoCorps brand perception influences several key stages of consumer motorcycle purchasing journey. The consumers have their own knowledge about Hero MotoCorps that shapes how they interpreted based on their needs, options, decisions, and feel about their purchase. This provides insight for Hero MotoCorps to focus on cultivating a positive brand image to have a positive impact.