Volume 13 | Issue 6 |

 Abstract

This paper explores how Human Resource (HR) Practices performs at HCL, an Indian IT firm. Because business operations are becoming more complex and HR tasks need to be more efficient, HCL has chose Practices as a key strategy. It analyzes how HR Practices affects recruitment, training employees, encouraging good performance and helping companies keep their employees. The survey data collected from staff and information from HCL's HR department are analyzed to find out what problems and positive aspects Practices HR activities can cause. From the data, it appears that Practices HR services improves how things get done, costs less and enables the organization to pay more attention to its key tasks; however, there are concerns about losing control, the quality of the services and privacy of data. It gives practical advice for improving the HR Practices strategy at HCL to support both organizational success and the well-being of staff.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

HR Practices, HCL, Recruitment, Training, Performance Management, Employee Retention, Practices Benefits, Organizational Effectiveness

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Quality education ensures equal access to education for all students. It gives qualified, passionate, and well-trained teachers engaging learning environments. Sustainable Development Goals educate students about sustainable development, climate change, and build awareness and values of environmental conservation to protect the planet. The research investigates the education influencing SDG5, SDG8, and SDG13, exploring strategies through innovative learning to align educational policies with the SDG targets of the government. It suggests providing professional development opportunities for educators to enhance the teaching quality and adapt to diverse learning needs. The government aligns national education policies and frameworks with the SDGs, strengthening partnership between NGOs and the private sector to invest in education, infrastructure, and innovation strategies

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sustainable Development Goals, Quality Education, Millennium Development Goals

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates the psychological, criminological, and socio-economic causes of repeated juvenile offenses and evaluates the effectiveness of current preventive and rehabilitative strategies. Drawing from primary data collected through interviews and observations at juvenile institutions and secondary data such as NCRB reports, this empirical research applies statistical methods to analyze trends in reoffending. It explores the contrasting models of rehabilitation and punishment, and further conducts a comparative analysis of recidivism prevention practices in countries like Norway, Japan, Brazil, and the U.S. The study also critically examines the provisions of the Juvenile Justice (Care and Protection of Children) Act, 2015, and the role of Juvenile Justice Boards in addressing repeat offenses. It also studies about whether the inadequate post-release support, poor family environments, lack of education, or social stigma significantly contribute to recidivism. This paper highlights the urgent need for a child-centered justice system that balances accountability with compassion and social reintegration.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Juvenile justice, recidivism, reoffending, rehabilitation, socio-economic factors, psychological theories, legal framework, India, empirical study, National Crime Records bureau (NCRB), Juvenile Justice Board (JJB), juvenile homes, community reintegration, aftercare, punitive vs rehabilitative.

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Creative Commons Attribution 4.0 and The Open Definition

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Labor pain is a significant challenge during childbirth, particularly for primigravida mothers. This study evaluates the effectiveness of Lamaze breathing techniques as a non-pharmacological method to reduce labor pain during the first stage of labor. A true experimental research design was employed, involving 60 primigravida mothers admitted to a selected district hospital in Gorakhpur, Uttar Pradesh. Participants were randomly assigned to an experimental group, which received training and support in Lamaze breathing techniques, and a control group, which received standard care. Pain intensity was assessed using the Wong-Baker FACES Pain Scale before and after the intervention. The findings indicated a statistically significant reduction in post-test pain scores among the experimental group compared to the control group. The study also analyzed associations between pain levels and demographic variables. Results support the efficacy of Lamaze breathing in reducing labor pain, offering a safe, cost-effective, and empowering alternative to pharmacological interventions. This research contributes valuable insights for integrating non-invasive pain management techniques into maternal healthcare practices.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Lamaze Breathing Technique, Labor Pain, Primigravida, Non-Pharmacological Intervention, Wong-Baker Pain Scale, Experimental Study

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Creative Commons Attribution 4.0 and The Open Definition

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Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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ZnO/ZrO2/Al2O3, Nanocomposite, Electrochemical synthesis, photocatalysis, Biocompatibility.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The fashion industry experiences problems with identification of fabrics and defects, leading to higher amounts of waste and inefficiency in quality control. This research explores an AI-driven approach, using Region-Based Convolutional Neural Networks (R-CNN) in fashion material classification and You Only Look Once (YOLO) for real-time damage detection. Combining deep learning with image processing will ensure high accuracy, automation, and scalability of the system during textile inspection. It improves quality control, reduces wastes, and encourages sustainable production. Results from experiments will show that it enhances both textile classification and defects detection, which makes the proposed solution an essential for the textile industry.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fabric Defect Detection, R-CNN, YOLO, Deep Learning, Image Processing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India's dairy sector stands as a cornerstone of rural livelihood and agricultural resilience, contributing over 23% to global milk production and engaging more than 80 million rural households. Beyond its economic significance, the sector plays a vital role in ensuring food and nutritional security, especially through the daily consumption of affordable dairy products. Despite remarkable growth since the mid-20th century--driven by initiatives such as Operation Flood and the rise of dairy cooperatives--the sector faces persistent structural and ecological challenges. These include low milk yields from indigenous breeds, chronic feed and fodder shortages, inadequate veterinary infrastructure, climate change-induced stress, and limited access to financial and institutional resources. Furthermore, regional disparities and gender inequities continue to undermine the inclusive potential of dairy development. This paper presents a comprehensive analysis of the Indian dairy sector, emphasizing its socio-economic importance, identifying prevailing constraints, and exploring sustainable strategies. Particular attention is given to the role of women in dairying, the impacts of climate variability, technological innovations such as artificial insemination and digital extension platforms, and the role of cooperatives in equitable market access. The paper argues for a paradigm shift towards value-added, climate-smart, and inclusive dairy practices, supported by unified policies and robust public-private partnerships. By addressing these multifaceted challenges through an integrated approach, the Indian dairy sector can evolve into a model of sustainable rural transformation.

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Creative Commons Attribution 4.0 and The Open Definition

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Livestock, Livelihoods, and Limitations: An Insight into Dairy Sector Challenges

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the learning domain, motivation is a most essential factor influencing learners' ability to gain and apply knowledge. Along with the external factors, the brain chemicals are also very significant in determining motivation of learner. Various brain chemicals are playing a vital responsibility for controlling our focus, mood and internal drive affecting our motivation levels. This study explores the functioning of brain chemicals on the learners' behavior and tries to make a connection between neuroscience and educational pedagogy. It promotes a holistic path to education that supports both the biological and psychological prospects of motivation, to improve student engagement, attainment, and well-being. Additionally, by the understanding of these biochemical mechanisms, educators can design more efficient strategies to get better learning outcomes and more precisely for individuals facing motivational challenges.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Motivation, Brain Chemicals, Neurotransmitters, Neuroplasticity, Holistic learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fair Test Pro is an online testing solution that aims to provide secure and cheat-free online tests. It responds to some of the most critical issues in remote testing like impersonation and inappropriate support by leveraging sophisticated machine learning algorithms such as face and object detection, eye-tracking, and monitoring of tab-switching. FairTestPro prioritizes both academic integrity and accessibility by integrating seamless authentication with government ID verification and live photos. Developed on scalable and affordable technologies, Fair Test Pro reduces human involvement with a user-friendly interface for examinees and administrators. Despite issues such as false positives and occasional software glitches, FairTestPro is constantly improving as a secure digital assessment solution for the future of remote education.

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Creative Commons Attribution 4.0 and The Open Definition

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Secure Online Exam AI-based Proctoring Cheating Detection

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Creative Commons Attribution 4.0 and The Open Definition

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The agri-food industry's global supply chain expansion has brought increased scrutiny to food safety and the need for robust quality certifications. As a decentralized and immutable technology, blockchain presents promising capabilities in reinforcing food transparency, traceability, and long-term sustainability. By enabling secure and efficient data sharing among multiple stakeholders, blockchain directly addresses the persistent issues of trust and visibility within complex, highly automated supply networks. This technology facilitates improvements across the entire chain -- from farms to retail outlets -- by streamlining process flows, reducing transaction overheads, and enhancing product traceability. Though still in an early stage of adoption, blockchain has the potential to revolutionize agri-food supply systems, transforming them into digitally driven ecosystems that are not only secure and transparent but also economically viable. This paper examines the key opportunities and challenges involved in scaling blockchain solutions for agri-food applications and evaluates its impact on the sustainability and profitability of agricultural value chains

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blockchain technology, Transparency, Food safety, Supply chain optimization, Digital ecosystem, Food traceability

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Creative Commons Attribution 4.0 and The Open Definition