Volume 14 | Issue 1 |

 Abstract

Background and Objectives: Diabetes mellitus is a chronic metabolic disorder that requires effective self-care practices to prevent complications and improve quality of life. This study was conducted to assess the effectiveness of a structured teaching programme (STP) on knowledge and attitude regarding self-care among patients with diabetes mellitus at a selected hospital in Tumkur. The study was undertaken in partial fulfillment of the requirements for the degree of Master of Science in Nursing at Aruna College of Nursing, Tumkur. The objectives of the study were: 1. To assess the level of knowledge regarding self-care among patients with diabetes mellitus. 2. To assess the attitude towards self-care among patients with diabetes mellitus. 3. To evaluate the effectiveness of a structured teaching programme on knowledge and attitude regarding self-care among patients with diabetes mellitus. Methods: A quasi-experimental one-group pre-test and post-test research design was adopted for the study. The population comprised patients with diabetes mellitus aged between 35 and 64 years. A sample of 60 diabetic patients attending the outpatient department of a selected hospital in Tumkur was selected using a simple random sampling technique. Data were collected using a structured knowledge questionnaire and an attitude scale. The pre-test was conducted, followed by the administration of the structured teaching programme on the same day. The post-test was conducted one week after the pre-test using the same tools. Data were analyzed using descriptive and inferential statistics. Results: In the pre-test, 51 (85%) patients had inadequate knowledge and 9 (15%) had moderately adequate knowledge regarding self-care. Regarding attitude, 55 (91.7%) patients had an inadequate attitude and 5 (8.3%) had an adequate attitude towards self-care. In the post-test, 56 (93%) patients demonstrated adequate knowledge and 4 (7%) showed moderately adequate knowledge. Post-test attitude assessment revealed that 45 (75%) patients had an adequate attitude, while 15 (25%) had a moderately adequate attitude towards self-care activities. The paired t test indicated that the structured teaching programme was statistically significant in improving knowledge and attitude at the p < 0.001 level. The chi-square test showed a significant association (p < 0.05) between post-test knowledge and marital status, and between post-test attitude and family monthly income. Conclusion: The findings of the study revealed a significant improvement in both knowledge and attitude regarding self-care among patients with diabetes mellitus after the administration of the structured teaching programme. The study concludes that structured teaching programmes are effective in enhancing self-care knowledge and attitude among diabetic patients and can be used as an important educational intervention in clinical settings.

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 Keywords

Diabetes mellitus; self-care activities; knowledge; attitude; structured teaching programme; diabetic patients.

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Effective organization asset management enhances operational accuracy and accountability. Most institutions still rely on manual means, like spreadsheets and registers, to track assets. This often results in dissonance in data, loss of assets, and time-consuming audits. The following paper discusses an AI-powered Asset Tracking Agent proposed to automate and also simplify Enterprise Asset Management. This proposed system will be integrating a FastAPI-based backend, SQLite database, and an agentic AI layer using Google Gemini so as to enable natural language interaction. Users can add, assign, update, and retrieve asset information through conversational queries without technical complexity. In a structured development methodology, the paper includes requirement analysis, system design, implementation, and testing. Experimental evaluation shows improved accuracy, real-time visibility, reduced manual workload, and efficient audit readiness compared to traditional asset tracking approaches. The proposed solution offers an intelligent framework that is scalable for managing the complete lifecycle of corporate assets.

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Asset Management, Agentic AI, FastAPI, Natural Language Processing, Enterprise Automation, Artificial Intelligence

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Creative Commons Attribution 4.0 and The Open Definition

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India's digital payments are rapidly growing by UPI Aadhaar enabled payments systems and more ways in financial transaction's literacy may constrain safe, sustained use among millennials (born in between 1981-1996). We are using most of primary data and also recent secondary data in this paper such as using habits of digital payment uptake and synthesizes evidence on financial literacy levels and proposes and tests a theory driven framework using to literacy to adoption and quality of use for the security practices, budgeting techniques. We also collect Global Findex indicators, RBI Digital Payments Index (RBI-DPI), NPCI UPI statistics, OECD/INFE literacy to measures Indian literacy surveys. We find strong usages of UPI more than 19.4 billion transactions in July 2025 which shows modest average literacy about 27% adults financially literate, we are also suggesting a usage understanding in millennials and gap between those who are not using the digital payments. We propose hypotheses and outline a survey design to estimate effects of knowledge, digital financial literacy and trust on intention and behaviours, with implications for product design and policy.

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digital payments, UPI, millennials, financial literacy, digital financial literac

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Creative Commons Attribution 4.0 and The Open Definition

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This paper focused on "A Comparative study of Active & Non-Active student in Physical Activity & Recreational Sports". The main objective of research paper is to compare the level of student's participation in physical activity & recreational sports and to compare the level of active & Non-active Students in physical activity & recreational sports to their fitness & self-confidence. Our sample size is 150 college level students. The tool was used Fitness Test Scale & Self Confidence scale made by investigator. The main finding of the study is there is difference between Male & Female Students to participate in physical activity & recreational sports and there is significant difference between active & Non-active Students in physical activity & recreational sports to their fitness & self-confidence. After study we can say that physical activity & recreational sports is very impotent role in student growth, fitness & self-confidence. Sport has the capacity to transform the lives of individuals. It bolsters physical, psychological, emotional, and social well-being and development. At the same time sport plays a significant role in cultures and communities around the world. These factors alone justify investment in sports programming. But there is also a growing understanding that sports programs merit support because they are powerful vehicles for achieving broader goals, particularly in advancing development and peace agendas.

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Physical Activity & Recreational Sports, Students, fitness, Self Confidence.

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Creative Commons Attribution 4.0 and The Open Definition

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Inclusive workplaces are increasingly recognized as critical drivers of sustainable development, organizational performance, and social justice. The United Nations Sustainable Development Goals (SDGs), particularly SDG 5 (Gender Equality) and SDG 10 (Reduced Inequalities), emphasize the need for equitable employment practices and inclusive organizational cultures. While Human Resource Management (HRM) has traditionally been responsible for recruitment, policy formulation, and employee relations, Social Work brings a rights-based, psychosocial, and advocacy-oriented approach to addressing inequality and exclusion. This concept paper examines the role of collaboration between HR professionals and Social Work practitioners in promoting inclusive workplaces aligned with SDG 5 and SDG 10. Using a qualitative secondary research methodology, the paper analyzes global reports, organizational studies, and scholarly literature to identify structural inequalities in workplaces and evaluate inclusive practices. The paper proposes an integrative HR-Social Work framework that combines data-driven HR strategies with social justice-oriented interventions. The study highlights that such collaboration enhances gender equity, reduces workplace discrimination, improves employee well-being, and supports sustainable organizational development.

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inclusive workplace, Human Resources, SDG, HRM, Social Work

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Creative Commons Attribution 4.0 and The Open Definition

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94% of the labor force in India works on a contractual basis. Contract workers are present across all sectors today. Due to their lack of organization, these workers are unable to present their issues to the government or their employers. While various laws have been passed for the welfare and protection of workers, the lack of proper implementation of these laws has resulted in contract workers facing several social and economic challenges, preventing their economic and social development.

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Creative Commons Attribution 4.0 and The Open Definition

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Contractual Labor & issues

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Creative Commons Attribution 4.0 and The Open Definition

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Mobile app development is the process of creating applications for smartphones and other mobile devices. Modern mobile apps use client-server architectures, cloud integration, and secure data management to deliver efficient and reliable services.

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Creative Commons Attribution 4.0 and The Open Definition

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Mobile Applications, UI/UX Design, Cloud Integration, Mobile Security, Android, iOS, API, Authentication, Encryption, User Experience.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract Central Universities in India persist to encounter institutional constraints in managing digital knowledge resources, including redundancy subscriptions, licensing costs, identity fabric, and Open Irony to scholarly content. Although blockchain technology has garnered global attention for secure and transparent digital transactions, its systematic application within inter-university digital library ecosystems in India remains largely unexplored and under-theorized. This paper presents a conceptual and design science-based blockchain framework for digital library resource sharing among Indian Central Universities. Grounded in design science research principles, the study proposes a decentralized architecture integrating blockchain-enabled digital identities, smart contracts, and distributed ledgers to manage access rights, lending workflows, and audit trails across institutions. Rather than reporting an implemented system, the paper focuses on architectural logic, governance assumptions, feasibility considerations, and alignment with national higher education policies. The proposed framework contributes a theoretically grounded, policy-relevant model that can inform future pilot studies, consortium-level strategies, and national digital knowledge infrastructure initiatives. Limitations and directions for empirical validation are explicitly acknowledged.

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Keywords: Blockchain, Digital Libraries, Smart Contracts, Resource Sharing, Academic Consortia, Design Science Research

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Creative Commons Attribution 4.0 and The Open Definition

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Estimation of parameters say mean, variance, median and coefficient of variation etc. is necessary under various studies. The bias and mean square error (MSE) of the estimator reflect the appropriateness and usefulness of the estimator. The improvement in the efficiency of the estimator using auxiliary information motivates the researches to suggest new estimators. Logarithmic ratio type estimator is one of the new classes of estimators where improvement has been suggested by only few authors in the literature and hence contribution to such estimators attempted for possible improvement in the efficiency of the estimators. In this study, we introduced an improved logarithmic ratio type estimator for estimating the finite population means using auxiliary information under simple random sampling scheme. The bias and mean square error (MSE) expressions for the proposed estimator have been derived up to the first order of approximation. The theoretical efficiency comparison has been carried out with the existing estimators. Also, the MSE and percentage relative efficiency (PRE), results has been calculated with real data set and artificial data set generated by using R software with bivariate normal distribution by simulation approach. The result shows that the proposed estimator performs well as compared to the other existing estimators of this class, also some new application areas might be explored in respect of such estimators.

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Creative Commons Attribution 4.0 and The Open Definition

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Auxiliary information, logarithmic ratio-type estimators, Mean squared error, Bias, simple random sampling, Simulation Study

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Creative Commons Attribution 4.0 and The Open Definition