Volume 12 | Issue 7 |

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cqfu;knh f"k{kk] xka/kh n"kZu] NEP 2020 f"k{kkFkhZ Kku f"k{kk] LckoyEch] thou dkS"kyA

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Rural communities face unique economic complexities, including irregular income streams, limited access to formal financial institutions, and vulnerability to external shocks. The integration of financial education, saving culture, and debt management addresses these challenges holistically, equipping individuals with the knowledge, skills, and behaviors needed to navigate their financial landscapes strategically. This paper deals with the transformative potential of financial education, fostering a saving culture, and effective debt management in driving economic empowerment within rural households. By equipping individuals with financial knowledge, cultivating a habit of saving, and promoting responsible borrowing, this study illuminates a comprehensive approach to uplift rural communities. This article underscores the imperative of addressing financial education, saving culture, and debt management collectively to achieve lasting positive change in the economic landscape of rural areas.

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Key words: rural community, economic empowerment, financial knowledge, saving culture, debt management.

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Gharelu hinsa ke Purush peedhiton ka samajik paripeksha : Ek Gahan adhyan

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Gharelu hinsa ke Purush peedhiton ka samajik paripeksha : Ek Gahan adhyan

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ABSTRACT The common medicinal plant of Euphorbia hirta (Family: Euphorbiaceae) has potent molluscicidal and piscicidal activity against freshwater snails and fishes. The toxicological actions of the diterpenoids, rutin, ?-sitosterol, botulin, and ellagic acid present in the Euphorbia hirta plant. Euphorbia hirta is an important medicinal herb, it is a widely used local and traditional medicine in clinical practice. The whole plant is commonly applied to cure various diseases especially gastrointestinal disorders including intestinal parasites, diarrhea, peptic ulcers, heartburn, vomiting, amoebic dysentery, afflictions of the skin, asthma, bronchitis, fever, coughs, and colds. The freshwater harmful snails Lymnaea acuminata and Indoplanorbis exustus are very common in the Northern part of India. Both snails are vectors of Fasciola hepatica, which causes endemic fascioliasis in cattle and livestock in the Northern part of India. Fishing with the aid of plant toxins was formerly very common. Today this easy method of fishing is still practiced in remote areas. The method is simple the poisonous ingredients are pounded and thrown into a pool or dammed-up sections of a small river. After a short time, the fish begin to raise the surface and can then readily be taken by hand. The present work is an extensive review of published literature concerning medicinal and biological aspects of the Euphorbia hirta plant to give comprehensive information in an attempt to provide direction for further research. It is commonly known as Dudhi.

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Keywords: Molluscicides, Piscicides, Snails, Fishes, Plant

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This study aimed to compare the effectiveness of telephone-based exercise intervention (telerehabilitation) and conventional in-person treatment for managing lateral epicondylitis, commonly known as tennis elbow. By examining outcomes such as pain intensity, grip strength, functional improvement, and quality of life, the study sought to determine whether telerehabilitation could serve as a viable alternative to traditional physiotherapy, particularly in enhancing accessibility and adherence to treatment protocols. To assess the effectiveness of a tele-rehabilitation exercise program (TG) compared to conventional in-person physiotherapy (CG) in reducing pain, improving grip strength, and enhancing health-related quality of life in patients with lateral epicondylitis. This randomized controlled trial included 50 participants diagnosed with unilateral lateral epicondylitis, randomly allocated to either TG or CG. Interventions were administered over 8 weeks. Outcomes included pain intensity (VAS), grip strength, Patient-Rated Tennis Elbow Evaluation (PRTEE) scores, and health-related quality of life (SF-36) will be measured at baseline 4 weeks and 8 weeks. Data will be analyzed using repeated measures ANOVA and independent t-tests.

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lateral epicondylitis, tele-rehabilitation, conventional physiotherapy, randomized controlled trial, pain management, grip strength.

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In response to the growing need for energy-efficient lighting solutions, this paper introduces an Intelligent Lighting System (ILS) designed to enhance energy conservation and user satisfaction. Conventional light control systems often face limitations in seamlessly integrating into homes and offices due to inefficiencies and design constraints. The proposed ILS leverages advanced technologies, including motion sensors, light sensors, and wireless communication, to dynamically adjust light intensity based on user movement and ambient lighting conditions. By ensuring optimal illumination while minimizing energy consumption, the system contributes significantly to sustainable energy practices. This research outlines the comprehensive architecture of the ILS, detailing its components and operational mechanisms. The system's design project was undertaken at the Atal Bihari Vajpayee Centre for Excellence in Information Technology & Communication and Outsourcing Centre. The lighting efficiency of the ILS was rigorously simulated using DIALux software, a leading tool in lighting design and analysis. The simulation assessed various parameters such as energy efficiency, direct lighting, and environmental impact, providing a robust evaluation of the system's performance. The study also explores practical applications and innovative ideas for implementing the ILS in diverse environments, including offices and factories. These applications demonstrate the system's versatility and effectiveness in different settings, highlighting its potential to revolutionize lighting control in both residential and commercial spaces. The findings indicate that the ILS can significantly reduce energy consumption while maintaining optimal lighting conditions, thereby promoting sustainable energy practices and enhancing user satisfaction. Furthermore, the paper discusses the environmental benefits of the ILS, emphasizing its role in reducing carbon footprints and supporting green building initiatives. By integrating intelligent lighting solutions, businesses and homeowners can achieve substantial energy savings and contribute to broader environmental sustainability goals. In conclusion, this paper contributes to the ongoing efforts to develop intelligent, energy-efficient lighting solutions that can be seamlessly integrated into modern living and working environments. The ILS represents a significant advancement in lighting technology, offering a practical and effective approach to energy conservation and user comfort.

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Artificial lighting design , Day light Factor , CRI , Illumination ,Luminaires , Lighting simulations

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Background: Bronchial asthma, characterized by chronic inflammation, bronchial hyperreactivity, and reversible airway obstruction, is often exacerbated by environmental allergens. The Papworth breathing method and Anulom Vilom Pranayam are two approaches used to manage these symptoms. The SF-36 questionnaire assesses various facets of health-related quality of life. Aim & Objective: This study sought to evaluate the efficacy of the Papworth breathing method and Anulom Vilom Pranayam in improving the quality of life and Peak Expiratory Flow Rate (PEFR) in adolescents diagnosed with bronchial asthma. Methodology: Seventy participants were drawn from schools and clinics in the Pune region and allocated to either the Papworth group or the Anulom Vilom group. Both groups received training in their respective techniques and participated in three weekly sessions over a span of four weeks. Results: The analysis revealed significant improvements in both groups. The p-value for PEFR was 0.0007, signifying a substantial enhancement in PEFR. Furthermore, the p-value for the SF-36 questionnaire was less than 0.0001, indicating a marked improvement in the quality of life of the participants. Conclusion: While both the Papworth and Anulom Vilom methods demonstrated substantial efficacy, the data suggests that Anulom Vilom may offer superior outcomes for adolescents managing bronchial asthma. Nevertheless, individual preferences and patient-specific considerations should inform the choice of therapeutic approach. Further research and clinical evaluation are essential to corroborate these findings and provide a comprehensive assessment of the relative effectiveness of these breathing techniques.

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AV, Anulom Vilom, Papworth, PEFR, SF-36, Asthma

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Objective: The study aimed to investigate the relationship between body composition and shoulder flexor strength in male volleyball players. Methods: Twenty male volleyball players were selected to assess body composition and shoulder flexor strength. The study utilized the human kinetic isokinetic machine and skinfold caliper for accurate measurements. Statistical analysis included descriptive statistics and Pearson's product-moment correlation to determine the relationship between body composition and shoulder flexor strength. Conclusion: The study found no significant relationship between body composition and shoulder flexor strength in volleyball players. However, it revealed that shoulder extensor strength was significantly stronger than shoulder flexor strength. This suggests that training programs should focus on enhancing shoulder extensor strength, which plays a crucial role in spiking and serving in volleyball. Maintaining ideal body composition may also contribute to improved playing performance. The findings emphasize the importance of considering specific muscle groups and body composition in training programs to enhance player performance in volleyball.

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Volley Ball, Shoulder Flexor, Body Composition

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Important papers like academic certificates from educational institutions and the SSLC and HSC are being changed to digital representations as we progress toward a more digital society. However, students usually have trouble remembering where their real degree certificates are, even while institutions and organizations cope with time-consuming processes for certifying and confirming credentials. By putting in place a blockchain-based certificate storage system, our initiative aims to solve this issue by enhancing security and speeding up validation procedures. Initially, digital formats for paper certificates are created, and then each certificate is given a distinct hash code generated by a stochastic process. Following that, these digital certificates are safely stored on the block chain. An application for smartphones may be used to validate and confirm these certificates. It uses of blockchain technology to provide a more effective and safe validation process.

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Blockchain Technology, Distributed Ledger, Smart contracts, Consensus Mechanisms, Cryptographic Hashing, Digital Signatures Decentralized Trust Model, Peer-to-Peer Network, Data Integrity, Security Measures.

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the advancement of technology in agriculture has paved the way for innovative solutions to enhance crop yield and manage plant health. One such solution is automated plant disease detection using deep learning techniques. This paper presents a web-based application designed to detect diseases in plant leaves from uploaded images, utilizing state-of-the-art deep learning modelsplant diseases pose a significant threat to agricultural productivity and food security worldwide. Early and accurate detection of plant diseases is crucial for effective management and control. Traditional methods of disease detection often rely on manual inspection by experts, which can be time-consuming, labor-intensive, and prone to human error. To address these challenges, we propose a deep learning-based approach for automatic plant disease detection from leaf images.our approach leverages two powerful convolutional neural network (cnn) architectures: xception and densenet121. These models are pre-trained on the imagenet dataset and fine-tuned for the task of plant disease classification.

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Automated plant disease detection, web-based applications, plant leaves, image upload, state-of-the-art deep learning models, agricultural productivity, food security, early detection, accurate detection, plant diseasestime-consuming, labor-intensive, human error, leaf images, pre-trained models

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