Volume 13 | Issue 10 |

 Abstract

This action research investigates the challenges faced by secondary school students in solving numerical problems related to Force and Laws of Motion in Physics. Despite understanding the theoretical concepts, many students struggle to apply them effectively due to issues such as memorization without comprehension, poor visualization skills, confusion with sign notations and weak connections between real-life situations and numerical problems. A sample of 12 students from Kannika Cauvery School, Mysuru, was selected. A pre-test was conducted to assess their existing problem-solving skills, followed by intervention strategies including role play and visualization and simulation techniques. After the intervention, a post-test was administered to measure improvement. Statistical analysis revealed that the mean score increased from 4.66 to 13, indicating a 41.12% improvement in performance. The findings highlight that interactive and visual learning strategies effectively bridge the gap between theory and application, enhance students' problem-solving skills and reduce anxiety associated with numerical problem solving. This study emphasizes the importance of innovative teaching methods in strengthening conceptual understanding and promoting active engagement in Physics classrooms.

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 Keywords

Numerical problem solving, Force and Laws of Motion, Visualization, Conceptual Understanding, Teaching Strategies, Problem-Solving Skills.

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Artificial intelligence AI has emerged as a transforming force reshaping contemporary organisation life and redefining the contours of human resource management HRM. The convergence of digital intelligence and human capital functions present both and unprecedented opportunity for strategic value creation and a profound ethical dilemma regarding concepts like fairness transparency and autonomy. This paper takes a comprehensive review of the extent literature on artificial intelligence integration into HRM processes which emphasizes its dualistic nature as both and enabler of efficiency and potential disruptor of ethical equilibrium. And curd in socio technical and ethical decision-making theories, the paper landscape of AI in HRM, identify major thematic domains.

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: Artificial Intelligence, Human Resource Management, Algorithmic Bias, Ethical Governance, Responsible HR Analytics, Employee Trust.

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Abstract This study explores the dynamics of grassroots mobilization and popular resistance in Eastern Uttar Pradesh during the Revolution of 1857, emphasizing the active participation of peasants, artisans, and marginalized groups. Moving beyond elite-cantered narratives, it highlights how local grievances, stemming from oppressive land policies, economic exploitation, and cultural disruptions fuelled widespread rebellion against colonial authority. The research examines the formation of local networks, the role of village leaders, and the convergence of social and religious sentiments that sustained the revolutionary spirit. It argues that the movement in Eastern Uttar Pradesh was not merely a military uprising but a collective expression of socio-economic and political discontent rooted in local realities. By analysing archival records, folk traditions, and regional accounts, this paper situates the revolution as a people's struggle that redefined notions of resistance and challenged the colonial order at its grassroots level.

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Keywords: Grassroots mobilization, Popular resistance, Eastern Uttar Pradesh, Revolution of 1857, Peasants and artisans, colonial oppression, Local leadership

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Afghanistan is composed of diverse ethnic groups, religions, and languages, which makes its identity very complex. Afghanistan, being the site of major political tension and prolonged conflict, people often feel separated from their tradition and modern life, especially when they live in other countries as refugees or migrants. Khaled Hosseini's The Kite Runner is often interpreted through the lens of trauma, guilt, and migration. This paper instead considers the novel as a repository of Afghan environmental memory and eco-cultural identity. It argues that the author stages everyday practices like kite- fighting, oral storytelling, hospitality codes, foodways, and neighborhood sociability as identity-making rituals ecologically embedded that persist even during war and exile. This study employs qualitative textual analysis to explore how the characters' engagement with indigenous practices shapes their identity. It reveals how afghan cultural memories can serve as sources of renewal rather than symbols of loss, extending Hosseini's work beyond trauma toward a culturally ecocritical reading of Afghan resilience and belonging.

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Khaled Hosseini, The Kite Runner, Ecocriticism, Lawrence Buell, Cultural Memory, Environmental Imagination, Identity, Redemption, Afghan Landscape.

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

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

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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