Volume 14 | Issue 5 |

 Abstract

The increasing use of online video reviews and user generated multimedia content has significantly influenced opinion formation and decision-making in domains such as e-commerce, entertainment, and education. This trend has enhanced the importance of sentiment analysis in Natural Language Processing (NLP). Previous studies, including the Urdu Multimodal Sentiment Analysis (UMSA) framework, have shown that integrating textual, audio, and visual modalities improves emotion and sentiment recognition, especially for low-resource languages.Through the introduction of the Urdu Sentiments Dataset (USD) and the use of multimodal fusion with ensemble learning, UMSA demonstrated the effectiveness of cross-modal learning. Building on these findings, this study explores the broader applications of multimodal NLP beyond sentiment classification, such as personalized content generation, intelligent tutoring systems, and interactive digital assistants. By jointly analyzing multiple modalities, the proposed approach aims to improve user intent understanding and adaptability while addressing challenges like data imbalance, noise, and limited labeled datasets. Overall, the study highlights the potential of multimodal approaches in developing robust and user-centric intelligent systems.

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 Keywords

Multimodal Sentiment Analysis, Natural Language Processing, Multimodal Fusion, Emotion Recognition, LowResource Languages, Intelligent System.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

BACKGROUND: To determine Does strength correlate with rotator cuff strength in patients with atraumatic shoulder instability. Occupational therapy is designed to help promote and improve functional independence. Unsurprisingly, the results showed that a course of occupational therapy for people with orthopedic shoulder injuries may result in greater functional independence as well as grip strength. METHOD: In this study 30 patients with Atraumatic shoulder instability is taken and the patients are randomly divided in to two Group A and Group B. Group A Strengthening Exercises and Group B Pendular Exercise for 4 week. RESULT: The result of within Group analysis, showed extremely significant improvement in terms of pain, ROM and disability (P = 0.000) in the Group showed significant improvement compared to Pendular exercise. CONCLUSION: The study conclude that both Groups shows the significant improvement but Pendular exercise is more effective than Strengthening exercise.

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 Keywords

Quick dash quality of life, Range of motion, Hand help dynamometer hand grip strength

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Creative Commons Attribution 4.0 and The Open Definition

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In Ayurveda, Vranagranthi resembles keloid. The pathogenesis includes vitiation of Rakta, Meda, and Mamsa Dhatus, primarily due to aggravated Vata and Kapha doshas. keloids are benign dermal growths resulting from abnormal wound healing, marked by the excessive proliferation of fibroblasts and deposition of immature collagen fibers presenting with symptoms such as kandu (itching), Daha (burning sensation), pain, tenderness, and cosmetic disfigurement .The treatment of keloids is difficult and often unsatisfactory. Several treatment modalities have been tried, but most of them have rendered disappointing results, especially when recurrence is concerned. Commonly used treatments include intra lesional steroid injection, which can have local side effects like skin relaxation, skin atropy, skin erosion, skin pigmentation along with the recurrence. Purpose of the study: the key objective of the study is to effectively manage symptoms of vranagranthi and reduce kandu and daha in patient.

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 Keywords

Keloid, Vranagranthi , Jalaukavacharan, Raktamokshana, Ayurveda, Leech Therapy, Kandu, Daha

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Creative Commons Attribution 4.0 and The Open Definition

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The coco peat industry, an emerging sector within the coir industry, provides significant employment opportunities in rural areas, particularly for women. This study examines women's participation and empowerment in coco peat production, with a focus on their roles in husk collection, cleaning, sorting, and packing. While women form a substantial share of the workforce, their contributions are often undervalued, with limited access to skill development, decision-making, and fair wages. The research explores the challenges faced by women workers, including occupational health risks, gender-based wage disparities, lack of social security benefits, and restricted career growth. At the same time, it highlights opportunities for empowerment through training programs, gender-sensitive policies, and sustainable employment practices. By addressing issues of equity and inclusion, the study emphasizes the potential of the coco peat sector to act as a platform for women's socio-economic empowerment and contribute to rural development.

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Women Employment

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The ML-Based Certificate Request and Management System is a web application developed to make the certificate request process easier and faster for students and administrators. The system allows students to submit certificate requests online by entering their details, selecting the certificate type, uploading files, and writing their request message. The application uses Machine Learning and Natural Language Processing techniques to automatically identify the priority of the request and analyse the sentiment of the message. This helps administrators understand urgent requests quickly. The system also provides an admin dashboard where administrators can view requests, update status, send replies through email, and manage student records efficiently. The project is developed using Flask, Python, SQLite, HTML, CSS, and Machine Learning libraries. It also includes features like secure login, file upload, request tracking, email notifications, and data export. This system reduces manual work, saves time, improves communication, and provides an easy and organized way to manage certificate requests in educational institutions.

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 Keywords

Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Certificate Management System, Flask, SQLite, Sentiment Analysis, Web Application, Request Management, Email Notification, Automation.

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Creative Commons Attribution 4.0 and The Open Definition

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The Digital India effort, inaugurated in 2015, seeks to convert India into a digitally empowered society by improving infrastructure, governance and public participation. Gujarat, as one of India's most economically developed states, provides a substantial framework to evaluate the social ramifications of digital change. By examining Indian digitalization, we seek to critically analyse (a) the methods by which socially engaged, early stage, high-technology firms integrate social and economic objectives to expand their ventures; and (b) the strategies employed by socially engaged firms to cultivate entrepreneurial opportunities and the facilitation of stakeholder institutions to enhance the value creation process. This research study analyses the social ramification of Digital India in Gujarat, concentrating on digital inclusion, financial inclusion-governance, skill development and entrepreneurship. The research utilizes qualitative analysis of secondary data from governmental publications, scholarly literature and case studies demonstrating that digital initiatives have significantly improved service accessibility, governance transparency and economic inclusion. Digital India possesses significant potential for social benefit, its efficacy relies on inclusive implementation, legislative backing and ongoing investment in digital infrastructure and skills. We discovered that the entrepreneurs, social motivation and goals are equally powerful motivators and are the main reasons for the scaling up processes. The motivation is bolstered by the proactive involvement of government efforts, which also include other essential stakeholders in the growth process. Digital technology and a strong desire to succeed among entrepreneurs often work together to create market opportunities and draw the attention of national-international foundations.

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 Keywords

Digital India, Gujarat, Social Impact, Digital Inclusion, e-Governance, Skill Development, Start ups

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Creative Commons Attribution 4.0 and The Open Definition

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Sedentary lifestyle has emerged as a major public health concern globally, contributing to musculoskeletal dysfunction, decreased flexibility, impaired functional performance, and reduced quality of life (QOL). Non-pharmacological interventions such as yoga and conventional exercise have gained increasing attention for improving physical and psychological well-being. The present narrative review aims to evaluate the influence of yoga and exercise on muscle flexibility, QOL, and functional outcomes in sedentary adults. Literature was searched through PubMed, Google Scholar, Scopus, and related databases for studies published between 2010 and 2025. Evidence suggests that both yoga and exercise significantly improve flexibility, muscular function, balance, mobility, and health-related QOL. Yoga demonstrates additional benefits through mindfulness, breathing regulation, stress reduction, and holistic wellness. Conventional exercise is particularly effective in improving strength, endurance, and cardiovascular fitness. Recent Scopus-indexed studies indicate that integrated yoga-based interventions may provide superior outcomes in physical and mental health compared to isolated exercise programs. Despite promising evidence, methodological heterogeneity, small sample sizes, and variability in intervention protocols remain major limitations across studies. Future large-scale randomized controlled trials with standardized outcome measures are recommended. Integration of yoga into physiotherapy and rehabilitation programs may offer a comprehensive strategy for improving health outcomes in sedentary Adults.

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 Keywords

Yoga, Exercise, Flexibility, Quality of Life, Functional Outcome, Sedentary Lifestyle, Physiotherapy

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Creative Commons Attribution 4.0 and The Open Definition

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This research presents a machine learning-based product recommendation system designed for e-commerce platforms using collaborative filtering techniques. The system analyzes user interaction data including browsing history, ratings, and purchase behavior to generate personalized product recommendations. The proposed model improves recommendation accuracy, customer engagement, and product discovery efficiency compared to traditional recommendation methods. Experimental analysis demonstrates enhanced user satisfaction and faster response time using machine learning algorithms such as cosine similarity. The study highlights the importance of intelligent recommendation systems in modern digital commerce environments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Recommendation System, E-Commerce, Collaborative Filtering, Artificial Intelligence, Product Recommendation, Cosine Similarity

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Creative Commons Attribution 4.0 and The Open Definition

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Social media has become an important part of everyday life, allowing people to communicate, share information, and connect globally. Along with its advantages, it has also created new opportunities for cybercriminals to exploit users through various online threats. Social media platforms are increasingly being used for cyberattacks, making cybersecurity a major concern for individuals, organizations, and governments.This paper focuses on different cybersecurity threats found on social media platforms, including phishing attacks, identity theft, malware attacks, social engineering, and data privacy issues. The research is based on the review of existing literature related to cybersecurity risks and social media security. Platforms such as Facebook, Twitter, and Instagram are considered highly vulnerable because they store large amounts of personal information and involve continuous user interaction. These platforms are widely used for communication and information sharing, but they can also be misused for spreading misinformation, conducting cyberattacks, and stealing sensitive data.The paper highlights important cybersecurity concerns associated with social media and discusses practical preventive measures that can help users protect their personal information and maintain online safety.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cybersecurity risk, Cyber threats, mitigation techniques, Identity Theft, Risks Prevention in Social Media sites, Social Engineering

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Creative Commons Attribution 4.0 and The Open Definition

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Green finance has emerged as a critical component in promoting sustainable development, particularly within the Indian banking sector, where financial institutions play a vital role in resource allocation and economic growth. This study examines the impact of green finance on sustainable development by analyzing how banks in India integrate environmental, social, and governance (ESG) principles into their financial practices and decision-making processes. Green finance includes instruments such as green bonds, green loans, carbon financing, and ESG-based investment strategies, which aim to support environmentally sustainable projects like renewable energy, energy efficiency, and pollution control. The research highlights that the adoption of green finance practices by Indian banks contributes significantly to environmental sustainability by reducing carbon emissions, promoting clean energy, and encouraging eco-friendly industrial development. Economically, green finance enhances long-term financial stability, supports innovation, and creates new opportunities for sustainable growth. Socially, it contributes to employment generation, improved public health, and inclusive development. The study also explores the role of regulatory bodies such as the Reserve Bank of India (RBI) and the Securities and Exchange Board of India (SEBI) in promoting green banking initiatives and establishing frameworks for sustainable finance. Furthermore, it examines the growing role of financial technology (FinTech) in improving transparency, efficiency, and accessibility of green financial services. Despite its positive impact, the study identifies several challenges, including lack of standardized regulations, high initial investment costs, limited awareness, and technological constraints. However, with increasing government support, global collaboration, and advancements in digital banking, green finance is expected to expand significantly in the future.

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 Keywords

Green Finance, Sustainable Development, Indian Banking Sector, ESG (Environmental, Social, and Governance), Green Banking, Green Bonds, Green Loans, Carbon Financing, Renewable Energy, Energy Efficiency, Pollution Control, Sustainable Finance, Financial Technology (FinTech), Reserve Bank of India (RBI), Securities and Exchange Board of India (SEBI), Environmental Sustainability, Clean Energy, Inclusive Development, Sustainable Growth, Eco-friendly Development.

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Creative Commons Attribution 4.0 and The Open Definition