Awareness and Accessibility of Government and Private Scholarship Schemes among College Students in Pollachi Taluk, Tamil Nadu

Dr. T. Manikandan

Scholarships and educational assistance programmes play an important role in enabling students to pursue higher education by reducing financial barriers. Tamil Nadu provides various scholarship schemes through different government departments for eligible students, including post-matric scholarships and educational assistance for different social and economic categories, along with higher-education assistance programmes. However, the availability of scholarships does not necessarily ensure that students are aware of or able to access them. This study examines the awareness and accessibility of government and private scholarship schemes among college students in Pollachi Taluk, Tamil Nadu. The study adopted a descriptive and analytical research design. Primary data were collected from 600 college students through a structured questionnaire. Frequency, percentage and Chi-square tests were used for analysis. The findings reveal that 85.0% of the respondents were aware of scholarship opportunities, while 15.0% were not aware. Government scholarships were the most widely recognised category. The college was the major source of scholarship information, reported by 89.3% of respondents. However, only 28.3% had applied for a scholarship and 24.3% reported receiving scholarship benefits. Chi-square analysis revealed significant associations between gender and scholarship awareness, age and scholarship awareness, scholarship awareness and scholarship application, government scholarship awareness and receipt of scholarship benefits, and source of information and scholarship awareness. Course of study was not significantly associated with scholarship awareness. The study concludes that there is a considerable gap between scholarship awareness and actual utilisation. Strengthening institutional guidance, timely dissemination of information and application support can improve scholarship accessibility among college students in Pollachi Taluk.  

Self-awareness as a Core Dimension of Emotional Intelligence among Working Women: Evidence from Coimbatore District

Dr.T.Kiruthika

Emotional Intelligence (EI) has become an essential competency for employees to effectively manage workplace challenges, interpersonal relationships, and personal well-being. Among the various dimensions of emotional intelligence, self-awareness is considered the foundation for recognizing emotions, regulating behaviour, and making informed decisions. The present study examines self-awareness among working women in Coimbatore District and identifies the most significant self-awareness factors using Friedman Mean Rank analysis. Primary data were collected from 476 working women representing various occupational sectors through a structured questionnaire containing twelve self-awareness statements measured on a five-point Likert scale. Friedman Mean Rank analysis was employed to prioritize the factors influencing self-awareness. The findings indicate that all the self-awareness statements recorded mean values above the neutral value of three, indicating a satisfactory level of emotional awareness among the respondents. The statement "Try to ignore negative emotions as much as possible" obtained the highest mean score (3.93), followed by "Exhibit a sense of humour" (3.89) and "Aware of own strength and weakness" (3.85). Conversely, "Able to understand own feelings" obtained the lowest mean score (3.67), suggesting that although working women effectively regulate emotions, deeper emotional understanding requires further improvement. The study concludes that self-awareness significantly enhances emotional intelligence and contributes to better workplace behaviour, emotional stability, and professional effectiveness among working women. The findings provide valuable implications for organizations, policymakers, and human resource professionals in designing emotional intelligence development programmes that promote employee well-being, productivity, and work–life balance.  

Neuro-Evo Swarm Optimizer (NESO Model): A Hybrid Deep Learning, Genetic Algorithm and Particle Swarm Optimization Model for Multicropping Strategy Optimization across Irrigation Systems

Mrs. N. Amirtha Gowri, Dr. R. Nandhakumar

Soil fertility is a major determinant of crop productivity, resource-use efficiency, and the sustainability of intensive agricultural systems. Among soil properties, Organic Carbon (OC) is an important indicator because it influences soil aggregation, water retention, nutrient availability, microbial activity, cation exchange capacity, and root development. This paper presents a framework for incorporating soil Organic Carbon into a Genetic Algorithm–Deep Learning–Particle Swarm Optimization (GA–DL–PSO) decision framework for seasonal multicropping under drip irrigation. In the proposed approach, OC is integrated with soil pH, clay percentage, climatic variables, irrigation characteristics, crop-management variables, yield, water use, and economic indicators. A Deep Learning model is used to learn nonlinear relationships between environmental and management variables and crop performance. The predicted performance is subsequently used by a Genetic Algorithm to generate candidate cropping strategies, while Particle Swarm Optimization refines the candidate solutions toward improved yield, profitability, and water-use efficiency. The proposed framework provides a systematic computational pathway for translating soil fertility information into seasonal crop-selection and multicropping decisions. The paper also discusses OC classification, its agronomic importance, preprocessing requirements, crop-suitability implications, and its role in optimization. The framework is intended to support data-driven and sustainable decision-making in drip-irrigated agriculture.  

Comparative Ethical Perspectives in Major World Religions: A Philosophical and Computational Framework

Pankoj Kumar Dutta

The philosophical study of comparative ethics across major world religions offers profound insights into fundamental human values and complex moral reasoning. While there is universal agreement across societies that agents ought to act ethically, there remains profound disagreement as to what precisely constitutes ethical behavior within varying theological frameworks. This paper presents a structured philosophical and computational framework for systematically analyzing the distinct ethical perspectives of Hinduism, Jainism, Buddhism, Christianity, and Islam. By rigorously mapping these ancient traditions into structured representations, we aim to bridge the persistent gap between historical theological doctrines and modern models of moral uncertainty. Ultimately, this approach provides a robust foundation for encoding pluralistic ethical viewpoints into artificial intelligence systems, ensuring culturally sensitive and globally representative moral reasoning.  

Work-Life Balance among Single Working Women: A Study of Influencing Factors

Dr. P. Anitha

Work-life balance has become an important issue in the modern working environment, especially among women who manage both professional and personal responsibilities. Single working women face greater challenges because they often handle family responsibilities independently without the support of a spouse. The present study aims to analyse the factors influencing work-life balance among single working women in Pollachi Taluk. The study is based on primary data collected from 105 respondents through a structured questionnaire using purposive sampling technique. Statistical tools such as simple percentage analysis and weighted average ranking method were used for analysis. The findings reveal that family support, suitable working hours, safe working environment, and emotional support from parents and children significantly influence work-life balance. The study concludes that both organizational support and family support are essential in improving the well-being and work-life balance of single working women.  

Challenges Faced by Students towards Educational Mobile Apps

Dr. P.Jayanthi

The research paper aims to examine the challenges faced by students towards educational mobile apps. Data for the study have been collected from 426 students in Pollachi Taluk through issue of well-structured questionnaire by adopting random sampling method. Simple percentage and chi-square test have been used to analyze the data. The study reveals that majority of the students are female residing in rural area and studying under graduate arts stream in private institutions. It also reveals that majority of the students face several major challenges while using educational apps. The most prominent issues are distractions, poor internet connectivity, Health issues (eye strain and stress), high cost of data followed by lack of interaction with teachers, apps that do not match course curriculum, technical issues, limited phone storage, lack of mobile data limits and difficulty in understanding content. It highlights that while educational apps are useful, students face technical, personal, and engagement-related issues, which can reduce their effectiveness in learning. Chi-square test shows that age, area of residence, streams and family income are significantly associated with the level of challenges towards educational mobile apps.  

Social Work Education among Undergraduate (B.S.W.) Students in Colleges Affiliated with Saurashtra University: Field Work Practicum Methods, Regional Issues, Supervisory Challenges, and Future Direction - Study

Dr. Ravi B. Dhanani

Social work is an established professional and practical academic discipline based on human relations, social change, and equality. Its two main pillars are: Theory and Field Work Practicum. Social work education provides students with a practical opportunity to face complex, real-life situations, intervene through scientific methods, and bring qualitative improvements to human conditions, rather than just memorizing definitions. Seven colleges registered under Saurashtra University, Rajkot, run the B.S.W. curriculum. Undergraduate students joining this course after Class 12 are not yet of mature age, and their problem-solving capacity is in its developmental stage. Therefore, keeping the current educational and social perspective in mind, a review of the quality of field work, policies, regulations, and the supervision process at the undergraduate level has become absolutely essential. 

Economic Behavior of Working Women: A Study on Income Utilization and Savings

Dr.P.Karthika

The increasing participation of women in the workforce has significantly contributed to household income and financial decision-making. This study examines the income level, income utilization pattern, and saving behaviour of working women. The research is based on primary data collected from 100 working women using a structured questionnaire. Descriptive statistics, percentage analysis, Chi-square test, and correlation analysis were used to analyze the data. The findings reveal that the majority of working women earn a moderate monthly income, with a mean income of Rs.34,500, and a large portion of their earnings is allocated toward household expenses and family needs. The average monthly saving among respondents is Rs.5,200, indicating moderate saving capacity due to increasing living costs and financial responsibilities. The Chi-square test shows a significant relationship between income level and saving behaviour, indicating that women with higher income levels tend to save more. Correlation analysis also reveals a strong positive relationship between income and savings, while expenditure increases with income. The study concludes that although working women actively contribute to household financial management and demonstrate positive saving habits, their savings are often constrained by family expenses. Improving financial literacy and encouraging diversified investment opportunities can enhance the financial security and economic independence of working women.

An Explainable Hybrid Machine Learning Framework for UPI QR and Collect Request Fraud Detection

Mrs. R.Gayathri; Mrs. Rejitha D

The Unified Payments Interface (UPI) has emerged as a dominant digital payment platform in India, processing over 10 billion transactions monthly and increasingly attracting fraud attacks such as PAY/RECEIVE manipulation, QR code tampering, and social engineering. Conventional rule-based fraud detection systems are limited in their ability to capture evolving behavioral, contextual, and semantic fraud patterns. This paper presents an explainable hybrid fraud detection framework for UPI QR transactions that performs multi-dimensional analysis of user behavior and transaction context. The proposed framework integrates behavioral decision features, contextual device and call-state indicators, semantic text manipulation signals, and a dynamic QR reputation scoring mechanism that adapts over time. A hybrid architecture combining rule-based screening, Isolation Forest anomaly detection, and XGBoost classification is employed, with SHAP used to provide model interpretability. The framework operates real-time deployment, while delivering transparent and human-interpretable explanations that address trust and accountability requirements in financial fraud detection systems.

Perception of material culture and fishing of Puri district in Orissa

Mr.Gama Mohanto

Perception of environmental resources is one of the key factors in development of material culture of the people. The natural environment has opened up a number of elements and possibilities to convert them as resources. Sometimes a single object may have multiple resource possibilities and their utilization as resource depends upon the applied knowledge and experience of the people. The physical environment of the study area of the state of Orissa has created immense scope of marine resource development. Fishing is one of the most important resource processes in the state. Here three different types of fishing namely, marine fishing, brackish fishing and inland fishing have developed. Both inland fishing and brackish fishing have been developed by the Oriya people of the state whereas marine fishing in the state has been developed by the migrant people of Telugu community. Herein the role of perception is the key factor in the growth of resource processing. In the present paper, the role of perception in evolution of marine fishing in the study area is studied with the background of physical resource potentialities, difficulties and prospects of other resource processes. The degree and magnitude of influence of perception on the material culture of fishermen of Orissa has also been taken into consideration in this paper.