Volume 13 | Issue 10 |

 Abstract

Persons with disabilities (PWDs) struggle with several challenges across various domains of their everyday lives, which severely impair their routine and quality of life. Several therapeutic interventions have shown improvement in various developmental areas of persons with disabilities. The current research was conducted on 17 individuals with intellectual disability with an aim to assess the effectiveness of Sports as a therapeutic intervention for improvement in developmental domains such as psycho-motor, social skills, communication skill, emotional and cognitive domains. The findings indicated that there is a significant improvement in the psycho-motor domain, social skills domain, communication skills domain and cognitive domain as a result of utilizing Sports as a therapeutic intervention. Except the emotional domain, Sports as an intervention displayed a significant positive correlation across domains in the next 3 and 6 months respectively.

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 Keywords

Sports, exercise, psycho-motor domain, social skills, communication skill, emotional domain, cognitive domain

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT This study develops an analytical framework derived from Gandhian economic principles-Swaraj (self-rule), Swadeshi (local self-reliance), Sarvodaya (welfare of all), and Trusteeship-to evaluate India's development trajectory following economic liberalization in 1991. Analysis of secondary data from Indian official sources (1991-2023) reveals significant disparities: wealth concentration (top 1% income share increasing from 11% to 22%), persistent agrarian distress despite workforce dependence, and substantial ecological costs. The study proposes three specific policy correctives derived from Gandhian principles: decentralized governance strengthening, sustainable agricultural transition, and ecological fiscal reforms. It argues for Gandhian economics as a complementary framework that addresses globalization excesses while preserving its benefits for sustainable and equitable development in India.

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Keywords: Gandhian Economics, Globalization, India Development, Sustainable Development, Economic Equity, Policy Correctives

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This study has been undertaken because as we know Proteins are central to biology, and their functions rely inextricably on their three-dimensional conformations. Although technologies such as AlphaFold have dramatically improved the prediction of structure using dazzling accuracy, they rely on Large-scale datasets and massive computing capacity, which frequently puts them inaccessibly outside of smaller labs, schools, and low-resource environments. To bridge this gap, we present Beta-Fold, an efficient and easy-to-use framework for the prediction of protein secondary structures specifically ?-helices, ?-sheets, and coils--directly from amino acid sequences. Utilizing a hybrid CNN-BiLSTM approach, Beta-Fold obviates the requirement for multiple sequence alignments (MSAs) and GPU-based computation. This allows for real-time prediction as well as interactive visualization via a simple web interface, making protein analysis more accessible and convenient in various research environments. Through reduced computational requirements, Beta-Fold has the potential to expedite applications in molecular diagnostics, drug discovery, and biomedical research. Directions for future work involve disease-specific case studies and incorporation into clinical bioinformatics pipelines with the ultimate aim of improving translational reach and enabling equitable access to protein modeling tools.

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 Keywords

Protein Folding, 3D Structure Prediction, Deep Learning, AlphaFold, Bioinformatics, Convolutional Neural Networks, Transformer Models, Molecular Visualization

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Creative Commons Attribution 4.0 and The Open Definition

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This paper presents a conceptual design and theoretical performance analysis of a sustainable footstep energy harvester using Polyvinylidene Fluoride/Barium Titanate (PVDF/BaTiO3) nanocomposite transducers.A compliant bridge-type mechanism is proposed to amplify footstep forces (assuming a 15x amplification factor) and maximize strain in the transducers, while ultra-low cold-start Power Management Integrated Circuits (PMICs) and supercapacitor storage are integrated for efficient energy capture.Theoretical voltage and energy per step are estimated using material properties from literature and plausible assumptions for transducer area, thickness, and force amplification.The study also outlines a conceptual IoT-enabled architecture for autonomous data collection and gait analysis using ultra-low-power microcontrollers.While no experimental validation has been performed, this framework provides a feasible blueprint for energy-autonomous smart flooring applications.

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Piezoelectric Nanocomposites, PVDF/BaTiO3, Compliant Mechanisms, Power Management ICs, Ultra-Low-Power IoT, Theoretical Performance Analysis, Force Amplification, Ultra-Low-Power Management IC (PMIC), Cold-Start Voltage, Supercapacitor, Sustainable Energy Harvesting.

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Creative Commons Attribution 4.0 and The Open Definition

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Differentiated Instruction (DI) has gained prominence as a pedagogical approach that caters to diverse student needs, learning styles, and abilities. This study explores teachers' readiness to implement DI strategies and their perceptions regarding its effectiveness in enhancing student learning. It examines factors such as confidence in designing DI-based strategies, perceived ease of implementation, and challenges such as class size, discipline, and cost-effectiveness. The study also investigates whether teachers believe DI fosters inclusivity and improves student self-esteem and retention. By analysing educator insights, this research aims to provide valuable recommendations for successful DI implementation in varied classroom settings.

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Differentiated Instruction, perceptions, implementation

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: Forest fires are becoming more frequent and intense worldwide due to climate change, human activity, and shifting environmental conditions. Rising temperatures, prolonged droughts, and land-use changes have significantly increased wildfire risks, causing severe ecological and economic losses. Early detection and reliable risk mapping are essential to minimize such impacts and enable timely response. However, conventional methods like ground observation or single-sensor monitoring often face limitations due to restricted coverage, delayed detection, and interference from clouds or smoke. This study proposes an artificial intelligence (AI)-based multi-sensor image fusion framework for early forest fire detection and risk assessment. The approach integrates thermal, optical, and radar satellite data from publicly available open-access sources to enhance spatial and temporal accuracy. Fusion is applied at pixel, feature, and decision levels, improving detection precision and minimizing false alarms. The results demonstrate that combining multi-sensor data with AI significantly improves early fire identification and mapping capabilities. The developed framework provides scalable, near-real-time monitoring suitable for various forest ecosystems. It supports faster emergency response, efficient resource deployment, and improved forest management practices, contributing to the development of smarter, data-driven wildfire mitigation systems

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Artificial Intelligence (AI), Forest Fire Detection Remote Sensing Satellite Imagery, Risk Mapping, Environmental Monitoring.

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 Abstract

Prophecy, Kirhupfümia and Sighting of Spirits as Elements of Magic Realism in Easterine Kire’s When the River Sleeps

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Easterine Kire, magic realism, spirits, supernatural, prophecy, faith-based magical realism

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Creative Commons Attribution 4.0 and The Open Definition

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The integration of Artificial Intelligence (AI) and Big Data into agricultural marketing is reshaping the agri-value chain by enabling precision-based decision-making, real-time forecasting, and sustainable market connectivity. Drawing from frameworks of zero-carbon and climate-smart agriculture, this study evaluates how digital data analytics and AI-driven platforms enhance transparency, profitability, and efficiency in Indian agriculture. Evidence from policy reports, institutional data, and field observations demonstrates that digital technologies significantly improve price discovery, reduce post-harvest losses, and empower smallholders. The findings position AI and Big Data as catalysts for transforming traditional agricultural marketing into a sustainable, inclusive, and data-centric ecosystem.

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Artificial Intelligence, Big Data, Climate-Smart Agriculture, Agricultural Marketing, Precision Farming, Digital Agriculture, Sustainable Development, India

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The Code of Civil Procedure , 1908 (CPC) forms the procedural foundation of India's civil justice system. It provides the legal framework through which courts ensure fair adjudication in civil matters. Among its many provisions, interim relief is one of the most important tools available to courts for ensuring justice during the pendency of a case. Temporary injunctions, attachments before judgement, and appointment of receivers under Orders XXXVII, XXXIX, and XL safeguards rights by preventing irreparable harm and preserving the subject matter of disputes. However, these remedies have often been misused. Courts frequently encounter abuse of ex parte injunctions, forum, shopping, and prolonged interim orders that undermine the objective of quick justice. Through this paper, I analyse how the CPC attempts to balance equity with procedure. I look at landmark judgments such as Dalpat Kumar v Prahlad Singh and Wander Ltd v Antox India (P) Ltd, and also reflect on how, in practice, interim relief sometimes becomes more critical than the final decree itself. The paper argues that while interim relief is indispensable to civil justice, reforms are needed to prevent abuse. Suggestions include stricter timelines, deterrent costs for frivolous litigation, and clearer guidelines for judges. In absence of judicial caution, equitable reliefs mat transform from the tools of protection into instruments of unfair advantage.

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CPC, Interim Relief, Temporary Injunction, Equity, Civil Justice, Abuse of Process

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Creative Commons Attribution 4.0 and The Open Definition

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This study investigates the social conditions of the Irula community in Coimbatore District, Tamil Nadu, focusing on their socio-economic status, cultural practices, and challenges faced in contemporary society. The Irulas, a Scheduled Tribe traditionally known for their expertise in snake-catching and rat-catching, have experienced significant changes in their livelihoods due to urbanization and socio-economic transformations. Utilizing a mixed-methods approach, this research combines quantitative surveys with qualitative interviews to gather comprehensive data on various aspects of the Irula community's life. Key areas explored include education levels, employment opportunities, access to healthcare, and social mobility. Additionally, the study examines cultural identity, the preservation of traditional practices, and the impact of government policies on their social integration. Findings indicate that while there have been improvements in education and healthcare access, persistent challenges such as poverty, discrimination, and limited job opportunities continue to hinder the community's development. The study highlights the resilience of the Irulas in maintaining their cultural identity amidst modernization, while also calling for targeted interventions to enhance their socioeconomic conditions and promote inclusivity. This research aims to contribute to a better understanding of the Irula community's social dynamics, providing insights for policymakers, social workers, and NGOs engaged in tribal welfare and empowerment initiatives. Through a detailed exploration of their lived experiences, the study advocates for tailored strategies that respect cultural heritage while fostering economic growth and social equity.

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 Keywords

Irula community Scheduled Tribe Coimbatore District Tamil Nadu Socio-economic status Cultural practices Livelihood changes Urbanization impact Education access Employment opportunities Healthcare access Social mobility Cultural identity Traditional practices Government policies Social integration Poverty Discrimination Tribal welfare Community resilience Socio-economic challenges Inclusivity Tribal empowerment Modernization effects

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