Volume 13 | Issue 4

 Abstract

Pandit Jawaharlal Nehru, first India's Prime Minister, called public sector units (PSU) as 'the temples of modern India'. Public Sector Enterprises play a crucial role in development of the nation's economy and many of these enterprises have taken the initiatives of Corporate Social Responsibility (CSR) practices which have met with varying needs of the society. The present study has made an attempt to diagnose the CSR practice in PSU of Maharatnas through the fund allocated and utilized before and after the companies act 2013. The study found that Maharatna enterprises have not been able to fully spend their CSR budget, the utilized amount is only 50% from their allocated amount. Finally this paper concluded that Maharatna enterprises are not taking much CSR initiatives as they don't see any support from the governments. Some kind of financial incentives should be given to PSUs so that they can feel motivated and undertake more and more CSR activities.

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 Keywords

CSR, Funds, PSU and Maharatna Enterprises

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The present study examines and analyses the problem of food insecurity in Odisha during COVID-19. Odisha is one of the classical cases among Indian states, where the per capita net availability of food grains has remained at a higher level than that of all India for most of the years during 1961 to 2018. But, still there is highest percentage of Poverty, Malnutrition, Infant mortality and higher food deprivation in the state. These problems are most worsted during COVID-19 lockdown. Emerging as a public health crisis, the COVID-19 pandemic has ensured several negative effects, which have directly and indirectly threatened the food and nutrition security of vulnerable populations across the country, including Odisha. Hence, impact of COVID-19 on food insecurity (an already existing problem), it seems to be relevant to look in to the same problem. The present study is based on secondary data. We examine the impact of COVID-19 on the two pillars of Food Security (i.e., availability and accessibility) by taking GSVA data for all sectors of Odisha and India for the year 2012-13 to 2020-21 from DE & S Odisha and data on Per Capita Income and employment placement, inflation and employment generated under MGNREGA for the year 2011-12 to 2020-21 from DE & S Odisha, Directorate of Employment, GoI, Panchayati Raj & Drinking water Department, Govt of Odisha, and Economic Survey 2021 respectively. We also analyses the Public Distribution System (PDS) functioning of at micro level with respects to achieve the objectives food security (i.e., consumption) and economic distribution during COVID-19 by taking data from different published journals. As the PDS is one of the popularist welfare public policy adopted by the government of India since 1950. The impact of floods and cyclones on food insecurity are also discussed by taking data from Directorate of Agriculture and food Production for the last 10 years. The study found that COVID-19 has had an effect on the ability of vulnerable households to access enough quality food for their families. Lack of income, job losses and inflation are the main obstacle to access enough food during COVID-19lockdown. Simultaneously, disruptions in supply of food system, irregular of the Public Distribution System and Mid-day meals also affected the food security. The study suggests that, to increase the quantity of providing food and cash assistance to the vulnerable while exploring creative longer-term solutions, including strategies to reach the most vulnerable more efficiently and effectively.

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 Keywords

Food Insecurity, Public Distribution System and COVID-19.

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The study centers on the performance of the State Bank of India (SBI) on its financial performance relative to the most significant parameters of profitability, liquidity, and the solvency ratio. From the information presented through annual reports and financial statements, the study analyzes the performance of SBI on values of ratios such as Current Ratio (CR), Quick Ratio (QR), Non-Performing Assets (NPA), and Interest Coverage Ratio (ICR). The outcome is an indication of the well-being and development of SBI and ongoing issues with non-performing assets. The report suggests towards greater financial efficiency as well as performance.

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Public Sector Banks, Profitability Analysis, Ratio Analysis .

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The integration of Information and Communication Technology (ICT) into library systems has revolutionized the management and dissemination of information, marking a significant shift from traditional manual operations to automated, digital processes. Library automation, driven by ICT tools such as Integrated Library Management Systems (ILMS), online catalogs, RFID, and digital databases, has transformed how libraries organize, store, and provide access to resources. This paper explores the role of ICT in enhancing the efficiency, accessibility, and user engagement in modern libraries. It also highlights the benefits, such as improved service delivery and cost-effectiveness, alongside challenges including financial constraints, technological dependencies, and the digital divide. Ultimately, the integration of ICT and automation not only streamlines library operations but also redefines the library's role in a rapidly evolving digital information landscape.

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Library Automation; Digital Libraries; RFID Technology; Information Access; Resource Management; User Engagement; Digital Transformation

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 Abstract

Distress migrants are moving towards nearby developed cities or town with the hope of getting better opportunities which can uplift their living standard. But, fact of the matter is that distress migration associated with number of drudgery and exploitations. There are number of schemes and policies taken up by government to check the distress type of migration but still distress migration is a perennial issue in the KBK region of Odisha. The present study tried to put light on importance of qualitative factor such as emotion while taking decision of migration. The study was based on primary data and the data are collected by using self-structured questionnaire. To measure Emotional Intelligence of distress migrants a standardised scale was adopted. Collected data are analysed by using descriptive statistics such as percentage and to understand the impact of emotional intelligence in the decision making capability of migrants, F-test has been used. The study find out that most of the migrants have higher emotional attachment with their family members but still they move out by leaving their family. Therefore, emotional characteristics of migrants do not put strong influence on their decision making because for them economic attraction is greater than family emotions.

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Distress Migration, Push and Pull factors, Emotional Intelligence, qualitative factor, Exploitation

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This document is a model and instructions for LATEX. Online voting is an emerging trend that offers significant advantages, such as reducing organizational costs, increasing voter turnout, and eliminating the need for physical polling stations. However, traditional digital voting systems face criti- cal challenges, including security vulnerabilities, lack of trans- parency, and susceptibility to manipulation. To address these concerns, blockchain technology presents a decentralized, secure, and transparent solution for electronic voting. This study explores blockchain-based voting systems, high- lighting their potential to enhance legitimacy, accuracy, safety, and convenience in elections. Blockchain's end-to-end verifica- tion, distributed architecture, and cryptographic security make it a strong alternative to traditional voting methods. The proposed system integrates a scalable blockchain framework with flexible consensus algorithms to ensure secure and efficient transactions. The Chain Security Algorithm enhances vote integrity, while smart contracts facilitate secure user interactions. Additionally, cryptographic hashing. Despite its advantages, blockchain voting faces challenges such as privacy protection and transaction speed, which must be optimized for large-scale adoption. This research presents a performance evaluation of the proposed system, demonstrating its feasibility for large-scale elections. By leveraging blockchain, this approach aims to restore trust in electoral processes, ensuring fairness, transparency, and the protection of democratic rights.

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 Keywords

Blockchain Voting, Electronic Voting, E-Voting System, Secure Voting, Smart Contracts, Cryptographic Hashing, Consensus Algorithms, Election Security, Decentralized Systems, Voter Privacy, Digital Democracy, End-to-End Verification, Blockchain Scalability, Chain Security Algorithm, Transparent Elections

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This study examines the relationship between life happiness and the maximisation tendency--a decision-making style that aims for the greatest possible outcome--across three generations with different economic behaviours: Millennials, Generation Z, and Baby Boomers. To determine the direction and intensity of this association, we perform independent regression analyses for each cohort using the Maximisation Inventory (MI) and the Satisfaction With Life Scale (SWLS). The research shows that there are considerable generational differences in the relationship between life happiness and maximisation, which has ramifications for financial decision-making. Although SWLS explains little of the variance in MI, baby boomers show a modest to moderate positive connection, indicating that better life satisfaction is weakly connected with larger maximisation inclinations in their economic choices (e.g., investing, purchasing). A similar but less noticeable trend is indicated by Generation Z's weak positive correlation. Interestingly, there is no discernible association among Millennials, indicating that variables other than general life satisfaction influence their maximisation behaviours. These generational disparities have consequences for targeted economic policy and marketing efforts geared at these cohorts, and they emphasise the significance of taking subjective well-being into account when predicting economic conduct.

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Satisfaction with Life, Maximization Inventory, Happiness, Subjective Well-being.

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The safety of women is a concern of increasing urgency in India and other countries. With increase in the crime rate against women, the rate of usage of technology also increases. Therefore, this research paper aims to find an approach where the increasing crime rate can be prevented. The best way is to give a technological way to this problem, and finally an android based App is designed and developed with title "NeedUNow app". This application tracks the location of the user through GPS and allows an individual to immediately request for help in disastrous situations with just a tap. It transmits the user's location and an alert message to the user's trusted and registered contacts when the user feels unsafe. These contacts can track the user's location in real time and provide the required help. The proposed system, NeedUNow, is a secure, smart, and reliable application designed to enhance women's safety by providing various advanced features. These include Emergency Alert & Incident Reporting Mechanism - Instantly sends distress signals and reports emergencies to trusted contacts or authorities. Live Location Tracking & Map View Mechanism - Displays real-time user location for emergency responders and trusted contacts.

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Android applications, Emergency response systems, Medical Location tracking, Multilingual medical data , Offline gesture activation, Emergency safety, Flutter, Firebase.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Chikungunya is a mosquito borne enfeebling disease caused by CHIK virus, an alphavirus belonging to family Togaviridae (Sudeep A. B and Parashar D., 2008). CHIKV infection presents itself as a febrile illness known as chikungunya fever (CHIKF) (De Lima Cavalcanti, T.Y.V.; 2022). Recent advances in analytical methods for assessing chikungunya vaccine efficacy have significantly enhanced our understanding of immune responses and clinical outcomes. More advanced techniques like high-throughput sequencing, multiplex assays, and advanced immunological profiling have replaced traditional methods like serological assays, allowing for a more thorough assessment of humoral and cellular immunity in response to vaccination. Interestingly, the use of bioinformatics tools has made it easier to analyze complex datasets, which has resulted in the identification of potential biomarkers for vaccine efficacy.(Tsetsarkin, K., et al., 2019; Cerny, T., & Munoz-Fontela, C. 2020)Additionally, the use of animal models and clinical trials using these new analytical techniques has given important insights into the mechanisms of protection provided by chikungunya vaccines, and as research continues, these developments will be essential in improving vaccine formulations and strategies for managing Chikungunya virus outbreaks ( Al-Muhammad, H., et al. 2021).

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 Keywords

Chikungunya, vaccination, clinical development, computational methods, serological assays, vaccine development, machine learning, molecular methods.

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 Abstract

The Unified Payment Interface (UPI) has significantly transformed the digital payment ecosystem in India, especially in regions like Coimbatore that consist of both urban and semi-urban populations. This study aims to analyze customer attitudes toward selected UPI applications -- Google Pay, PhonePe, and Paytm -- by examining factors such as ease of use, security, transaction speed, reliability, user interface, and trust. It also explores how demographic variables like age, income, education, and occupation influence customer preferences and usage patterns. A descriptive research design was adopted, using a well-structured questionnaire to collect primary data from users in the Coimbatore district. Secondary data was sourced from journals, articles, and previous studies. Analytical tools including simple percentage analysis, Likert scale analysis, ranking analysis, chi-square analysis, and t-test were used to interpret the collected data. The study seeks to identify the reasons why customers prefer or avoid using specific UPI apps, the problems they face, and their suggestions for improvement. It also tests the hypothesis that there is no significant relationship between gender and frequency of app usage. The research was conducted over a period from December 2024 to April 2025. Findings from this study are intended to provide actionable insights for app developers, financial institutions, and policymakers to enhance UPI adoption rates, address user concerns, and optimize the overall digital payment experience. However, the study is geographically limited to Coimbatore and may be influenced by self-reported data biases and sample size constraints.

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Unified Payment Interface (UPI), Customer Attitudes, Digital Payment, Demographic Variables.

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 Abstract

India's financial sector is pivotal for economic inclusion, with public sector banks (PSBs) and India Post Financial Services serving diverse populations. This study applies the SERVQUAL model to compare service quality between PSBs and India Post, focusing on five dimensions: tangibles, reliability, responsiveness, assurance, and empathy. The research aims to identify service gaps, compare performance, and propose improvement strategies. A quantitative survey was conducted with 200 customers (100 from each provider) in urban (Delhi, Mumbai) and semi-urban (Jaipur, Patna) areas in March 2025. Respondents rated expectations and perceptions on a 22-item SERVQUAL scale. Gap scores (perception minus expectation) were analyzed using descriptive statistics and t-tests to compare providers. Results reveal PSBs outperform India Post in tangibles (mean gap: -0.45 vs. -0.78) and assurance (-0.39 vs. -0.67), benefiting from advanced infrastructure and regulatory trust. India Post excels in empathy (-0.32 vs. -0.51) and responsiveness (-0.41 vs. -0.58), reflecting its community-oriented approach. Reliability gaps are similar for both (PSBs: -0.62, India Post: -0.65), indicating systemic delays. Urban customers reported larger gaps than semi-urban ones, suggesting expectation disparities. PSBs' technological edge contrasts with India Post's outdated facilities, though the latter's personalized service mitigates dissatisfaction. Recommendations include digital upgrades for India Post, process streamlining for PSBs, and staff training to enhance empathy and reliability. This study contributes to understanding service quality in India's public financial sector, highlighting the balance between modernization and human-centric service. Limitations include the exclusion of rural perspectives and cross-sectional design. Future research could explore longitudinal trends or rural dynamics. These findings inform policymakers and providers aiming to strengthen financial inclusion through improved service quality.

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 Keywords

SERVQUAL, Public Sector Banks, India Post Financial Services, Service Quality, Customer Satisfaction, Financial Inclusion, Empathy

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In today's digital era, Artificial Intelligence (AI) has emerged as a powerful tool transforming how businesses operate. While large corporations are rapidly embracing AI to optimize operations and enhance customer experiences, small businesses still face several challenges in adopting such advanced technologies. This study focuses on analyzing the benefits and challenges of AI adoption among small businesses in Coimbatore District. It explores the level of awareness, industry- specific usage, key influencing factors, and the barriers faced by small business owners. The findings reveal a growing interest in AI, but highlight obstacles such as high costs, lack of skilled personnel, and data privacy concerns. The study also provides suggestions to increase AI adoption through training, cost-effective tools, and government support.

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Artificial Intelligence, Small Business, AI Adoption, Digital Transformation.

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This study explores the challenges encountered by rural policyholders during the agricultural insurance claims process in Coimbatore district, Tamil Nadu. Despite the existence of schemes such as PMFBY and NAIS, farmers often face issues such as a lack of awareness, documentation barriers, and delayed settlements. A structured questionnaire was administered to 100 respondents using convenience sampling. Simple percentage analysis was used to evaluate the data. Results indicate that while awareness of insurance schemes is relatively high, claim-related challenges such as delays and limited access to assistance remain significant. The study offers targeted recommendations for policymakers and insurers to enhance the effectiveness of agricultural insurance in rural India.

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Agricultural Insurance, Rural Policyholders, Insurance Claims, Claim Settlement, PMFBY, NAIS

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In educational institutions and workplaces, traditional attendance systems based on manual entry, which are time-consuming and prone to errors or proxy attendance. To address these challenges, an Automated Attendance System using Face Recognition offers a contactless and efficient solution. This system utilizes machine learning and computer vision to detect and recognize faces, ensuring accurate and real-time attendance marking. By integrating facial recognition with a database, it automates the process, reducing administrative workload and preventing fraudulent attendance. Additionally, security measures such as encrypted data storage and access control ensure privacy and reliability. This technology enhances efficiency, accuracy, and security in attendance management.

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Face Recognition, Automated Attendance, Machine Learning, Computer Vision, Security, Privacy

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This study has been undertaken to investigate the attitude of the Muslim scholars when the British wrested power from the Muslim hands and its after effects in the relation between Muslims and British authority. The great scholar of India, Shah Abdul Aziz Dehlavi emerged as a determined opponent of British rule, issued a landmark fatwa declaring India under British control as Dar-ul-Harb (abode of war). Motivated by him, Sayyid Ahmad Barelvi and his followers started an armed struggle and it continued until 1857.

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Indian freedom struggle, Muslim freedom struggle, British occupation of India, Indian Wahhabis, Waliullah, Tariqah Muhammadiyah, Shah Abdul Aziz Dehlavi, Sayyid Ahmad Barelvi

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Herbal marshmallow candy; Indian Pharmacopoeia; Loss on Drying; Dissolution; Honey; Diabetic-friendly; Ashwagandha.

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This project presents a comprehensive time series analysis of Monkeypox case trends globally using the Facebook Prophet model. The analysis integrates all four types of analytics Descriptive, Diagnostic, Predictive, and Prescriptive (DDPP) to understand trends, identify hotspots, forecast future outbreaks, and optimize resource allocation. Unlike real-time systems, this is a one-time analysis based on historical WHO data. The results help policymakers design strategic interventions like vaccine prioritization, resource mobilization, and awareness campaigns.

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Time Series Forecasting , Monkeypox Outbreak , Epidemiological Modeling , Facebook Prophet , ARIMA Model , Public Health Analytics , Predictive Analytics , Prescriptive Analysis , Disease Trend Prediction , Data-Driven Decision Making

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The fashion industry is under growing pressure to embrace sustainable practices due to its substantial environmental effect. This case study investigates the relationship among modern technology and conventional reuse practices to build an environmentally friendly fashion future. This study investigates how cutting-edge technologies like artificial intelligence (AI)-driven fashion, electronic fashion, and cryptocurrencies for supply chain transparency, when combined with reuse techniques like upcycling and textile-to-textile recycling, can minimise waste, cut carbon emissions, and develop a circular economy. An exhaustive investigation of well-known companies and creative startups is part of the report. The results show that although conventional approaches are still important, technology is becoming more and more important in helping to scale and improve the efficacy of environmentally friendly methods in the fashion industry. This study provides useful information to fashion industry stakeholders who want to promote sustainability by combining innovation and reuse in a balanced way.

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 Keywords

1. Upcycling 2. Textile Recycling 3. AI driven fashion 4. Electronic fashion 5. Environmentally friendly fashion 6. Reduce waste

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Faulty software detection is a critical task in software development because it can highly impact the quality and reliability of software systems. In this paper, we propose a novel approach for faulty software detection using machine learning and the XGBoost algorithm. Our approach utilizes a dataset of Python code with control structures of basic such as if, else, and do while loops, and applies the XGBoost algorithm to diagnose faults in the code. We evaluate the performance of our approach using metrics such as accuracy, precision, recall, F1-score, and ROC AUC score, and compare it with existing research. Our results show that the XGBoost algorithm is highly effective in diagnosing faults in Python code, and our approach achieves state-of-the-art results on many machine learning challenges. We also provide insights on cache access patterns, data compression and sharding to build a scalable tree boosting system. By combining these insights, our approach scales beyond billions of examples using far fewer resources than existing systems.

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LSTM, Machine Learning, XGBoost, Python, Fault software detection, Deep Learning

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Computer Science, Cyber Security

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Creative Commons Attribution 4.0 and The Open Definition