Volume 13 | Issue 6 |

 Abstract

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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

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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.

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Creative Commons Attribution 4.0 and The Open Definition

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

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Creative Commons Attribution 4.0 and The Open Definition

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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

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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.

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Creative Commons Attribution 4.0 and The Open Definition

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Motivation, Brain Chemicals, Neurotransmitters, Neuroplasticity, Holistic learning

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Creative Commons Attribution 4.0 and The Open Definition

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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

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Creative Commons Attribution 4.0 and The Open Definition

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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

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The present study focuses on the formulation and evaluation of a herbal digestive churna using commonly known as carminative and digestive ingredients-ginger, fennel, ajwain, cumin, and cinnamon. A 5gm churna was prepared by accurately weighing, drying, and pulverizing each ingredient to a fine powder, followed by uniform mixing. The formulation was estimated for its organoleptic and physiochemical properties. The churna produced a pleasing aroma, brownish color, fine texture, and slightly pungent taste, confirming its acceptability. Physiochemical parameters such as pH, moisture content, ash values, and flow properties were found with acceptable limits, indicating good stability and quality. The combined therapeutic effects of the ingredients suggest that the formulation is a promising natural remedy for enhancing digestion and relieving gastrointestinal discomfort.

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Creative Commons Attribution 4.0 and The Open Definition

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Digestive Churna, Fennel, Cumin, Ajwain, Cinnamon, Ginger.

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Creative Commons Attribution 4.0 and The Open Definition

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Uttarakhand state holds a unique and pioneering position in the history of Van Panchayat in India. The system was first introduced in the Kumaon region in 1931 during British colonial rule as response to growing conflicts between local communities and the colonial forest administration, which had curtailed traditional access to forest resources. Van Panchayat were designed to empower village communities to manage and protect forest land collectively, ensuring sustainable use forest resources. This model of decentralized forest governance was deeply rooted in the traditional practices and communal decision making systems of hill communities in the state, particularly in Kumaon and Garhwal regions. The study evaluates and illustrates the effectiveness of forest governance through study of challenges in Forest Governance and Resource Management in Van Panchayats. Present study and field observations suggest that the sustainability of this governance model is increasingly under pressure.

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Creative Commons Attribution 4.0 and The Open Definition

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Van Panchayat, Decentralized, Forest Governance, Sustainable use.

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Creative Commons Attribution 4.0 and The Open Definition

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The Karbi tribe is one of the most significant ethnic groups living in Assam. The novel Rongmilir Hanhi by the prominent Assamese novelist Rongbong Terang is based on the lives of the people of the Karbi tribe. The novel is set against the backdrop of a riverine village called Rongmili in Karbi Anglong district during the pre-independence period. It beautifully reflects the social customs, religious beliefs, festivals, folk beliefs, dress, trade and agriculture of the Karbi society. Many notable festivals of the Karbi society such as 'Chajun puja' or 'Sarag puja', 'Chamangkan', 'Hemphu puja', 'Haccha Kekan dance', Wal Keter puja' etc. are portrayed nicely in this novel.

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Creative Commons Attribution 4.0 and The Open Definition

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Chajun puja, Chamangkan, Festival, Karbi, Rongbong Trang

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Creative Commons Attribution 4.0 and The Open Definition

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In the realm of sports education and performance analysis, there exists a pressing need to overcome barriers such as geographical limitations, cost constraints, and time constraints inherent in traditional teaching methodologies. In response to these challenges, this paper presents a novel sports education system leveraging artificial intelligence (AI) technologies. This all- inclusive system allows for easy access to sports academies and training facilities based on geographic proximity by introducing an innovative teaching platform driven by AI and GPS integration. Moreover, it offers an extensive library of sports laws, sophisticated strategies, and professional advice, encouraging ongoing skill development. Setting goals and closely observing performance are made easier by the system's integration of AI-driven forecasts, such as victory probabilities. The central aim of this initiative is to redefine the landscape of sports education by offering a convenient, cost-effective, and highly efficient solution accessible to individuals at all proficiency levels. In addition to its educational advantages, the system is poised to make significant contributions to sports analytics, supplying extensive data and insights for both researchers and practitioners. This proposal advocates a progressive approach that moves beyond traditional methods, heralding a new era in sports education and performance analytics.

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Creative Commons Attribution 4.0 and The Open Definition

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Goal-setting, performance tracking, affordable education, accessibility in sports, artificial intelligence, sports education, coaching platforms, GPS integration, sports analytics, machine learning, training centers, data and insights, sports rules repository, expert insights, goal-setting, and performance analysis Instantaneous Communication, Tailored Mentor Assistance, WebRTC, MongoDB, socket.io, Node.js, React.js, and API Integration.

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Creative Commons Attribution 4.0 and The Open Definition