Bharathi Women's College, is a women's general degree college located at Chennai, Tamil Nadu. It was established in 1964. The college is affiliated with the University of Madras. This college offers courses in arts, commerce and science.
Well defined and transparent credit risk evaluation continues to be a fundamental issue in financial decision-making, particularly when dealing with intricate borrower profiles in the forms of organized tabular data. While traditional machine learning models often lack interpretability for predictive accuracy, recent deep learning approaches struggle to generalize across such data formats. We propose an innovative hybrid Tabular Deep Learning system that combines feature tokenizer transformer (FT-transformer) and TabNet architectures with an adaptive feature routing (AFR) method. The AFR module dynamically identifies significant aspects for each data instance, facilitating context-aware representation learning and enhancing generalization across other borrower groups. To guarantee explainability and compliance with regulations, our approach integrates a multimodal interpretability package that includes Shapley additive explanations (SHAP)-based attributions, attention mapping, and counterfactual reasoning for actionable what-if analysis. Comprehensive experiments on the benchmark dataset reveal the model's exceptional performance, attaining an AUC of 0.985, an F1-score of 0.972, and a premier ranking according to the Gini coefficient. Visual metrics of AUC vs. Gini coefficient, cost-benefit curves, and the counterfactual dashboards showcase the model's transparency and practical applicability. This study observes the application of explainable AI in credit risk modeling by successfully reconciling the balance between higher predictive accuracy and interpretability, hence facilitating explainable financial decision-making scenarios.
Abstract This study investigates workplace stress and emotional burnout among employees in the manufacturing sector in Chennai city. In the modern industrial environment, employees face high workloads, tight deadlines, repetitive tasks, and physical demands, which often lead to stress and burnout, negatively impacting health, job satisfaction, and productivity. A descriptive research design was adopted, and primary data was collected from 160 employees using a structured questionnaire. A proportionate random sampling technique ensured representation across age, gender, job roles, and work experience. Descriptive statistics, T-tests, ANOVA, and correlation analysis were employed to examine the relationships between demographics, stressors, burnout levels, coping strategies, and organizational interventions. The analysis revealed that key stressors include workload, time pressure, and physical demands, with production staff and mid-career employees being most affected. Stress and burnout were found to significantly impact physical and mental health, work performance, absenteeism, and job satisfaction. Coping strategies such as exercise, relaxation, and time management, along with organizational support, wellness programs, and flexible work policies, significantly reduce stress and improve employee well-being. The study concludes that combining individual coping mechanisms with organizational preventive measures is essential to reduce burnout and promote a healthy, motivated, and productive workforce. These findings provide actionable insights for HR managers and policymakers in the manufacturing sector to implement effective stress management programs. Keywords: Workplace Stress, Emotional Burnout, Manufacturing Sector, Employee Well-Being, Coping Strategies, Organizational Support, Chennai, Job Performance, Stress Management
The increasing demand for sustainable food production has intensified the search for biodegradable and cost effective alternatives to conventional hydroponic growing substrates. The present study investigated the potential of Eichhornia crassipes (water hyacinth) biomass incorporated with carboxymethyl cellulose (CMC) as a biodegradable hydrogel substrate for the cultivation of Vigna radiata L. An aqueous extraction method was employed to recover polymer from E. crassipes, yielding approximately 10% polymer with a pH of 6.0. The extracted polymer was incorporated with CMC to develop an Eichhornia-CMC hydrogel, and its performance was compared with CMC hydrogel and conventional soil. Seed germination, seedling vigour, shoot and root growth, leaf development, chlorophyll content, water retention, biochemical composition, mineral accumulation, and endogenous auxin content were evaluated. The Eichhornia-CMC hydrogel promoted rapid seed germination and superior seedling development, with a Seed Vigour Index of 382 compared with 287 and 370 in CMC hydrogel and soil, respectively.
Abstract The rapid advancement of technology has transformed employee training methods, with Virtual Reality (VR) emerging as an innovative tool for enhancing learning experiences. This study focuses on examining the use of VR in employee training and analysing the impact of technological accessibility on training effectiveness in Chennai city. The research aims to understand how factors such as devices, infrastructure, and digital skills influence the success of VR-based training programs. A quantitative research approach was adopted for the study. Primary data was collected from 180 respondents using a structured questionnaire, and stratified random sampling was applied to ensure fair representation across different employee groups. Statistical tools such as Chi-square test, t-test, ANOVA, and correlation analysis were used to analyse the data and test the hypotheses. The analysis revealed that the use of VR in training varies significantly across industries and job levels. VR-based training was found to significantly improve employee skills, knowledge, and engagement. The study also identified that technological accessibility differs among employees, with higher-level employees having better access to devices, infrastructure, and digital skills. Furthermore, correlation analysis indicated a strong positive relationship between technological accessibility and training effectiveness, with digital skills having the greatest impact. The study concludes that while VR is an effective training tool, its success largely depends on the level of technological accessibility available to employees. Organizations should focus on improving access to technology and enhancing digital skills to maximize the effectiveness of VR-based training programs. Keywords: Virtual Reality (VR), Employee Training, Technological Accessibility, Training Effectiveness, Digital Skills, Infrastructure.
In this paper, a new subclass BK(u, v, phi) of bi-univalent function is introduced in related with a leaf-like domain. The initial coefficients and an upper bound for the second Hankel determinant for functions belonging to this class has been investigated. The obtained results are validated through numerical illustrations and are shown to generalize and improve several known results in the existing literature. Furthermore, we investigate the structural properties of this subclass and highlight its potential significance in real-world applications, particularly in areas involving geometric function theory and related analytical models.
