Volume 14 | Issue 5 |

 Abstract

We know that to achieve goals we should require sufficient fund i.e., finance. The Prime Minister of India in Cop-26 climate summit announced that India will attain net zero emissions by 2070. In order to meet these climate targets, countries like India will need approximately USD 1trillion in additional financing over the next ten years. Here, it is clear that India has need to extra finance to achieve above desired goals. Such needed extra finance known as GREEN FINANCE. Green Finance is to increase the level of financial flow from banking (micro credit, insurance and investments), from the public private and NPOs sector to sustainable development priorities.

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 Keywords

Green Finance , Climate change, Sustainable Development, Green Investment, Green Bonds, Green Initiatives.

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 Abstract

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Remote Sensing, GIS, Land Use and Land Cover, Sub-Watershed, Agrani River Basin

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Cryptocurrency markets are characterized by significant fragmentation, leading to frequent price discrepancies across exchanges. These inefficiencies create opportunities for arbitrage trading, where traders exploit price differences to generate profits. However, identifying and executing profitable arbitrage strategies in cryptocurrency markets is challenging due to factors such as transaction fees, network congestion, and market volatility. This paper explores the use of multi-source data, including real-time exchange prices, blockchain transaction met-rics, and social media sentiment analysis, to identify and evaluate cryptocurrency arbitrage opportunities. By integrating these diverse data streams into a unified framework, we develop a robust methodology that leverages statistical models, machine learning algorithms, and graph theory to detect and execute arbitrage trades efficiently. Our approach incorporates probabilistic risk management techniques to account for uncertainties such as slippage and la-tency, ensuring the sustainability of arbitrage strategies. Backtesting results demonstrate the effectiveness of the proposed framework, achieving a profitability rate of 12.5% with a Sharpe ratio of 1.8 and a maximum drawdown of 5.2%. The findings highlight the importance of multi-source data integration in overcoming the challenges of cryptocurrency arbitrage and provide valuable insights for traders, researchers , and financial practitioners. This research contributes to the growing body of knowledge on cryptocurrency trading strategies and underscores the potential of advanced data analytics in unlocking new opportunities in decentralized financial ecosystems .

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ryptocurrency arbitrage Multi-exchange price analysis Market fragmentation Real-time data analytics Multi-source data integration Blockchain metrics Social media sentiment analysis

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In recent years, digital payment systems have changed the way people manage and use money, especially in developing countries like India. One of the most important digital payment innovations in India is the Unified Payments Interface (UPI). UPI allows people to transfer money instantly between bank accounts using smartphones, making financial transactions fast, secure, and easy. Because of this, UPI has become a very popular mode of payment for daily activities such as shopping, bill payments, and money transfers. The main aim of this research is to study how the use of UPI affects consumer financial behaviour. This study focuses on changes in spending habits, saving behaviour, and dependency on cash. It also compares how people from different age groups use UPI and how their financial behaviour differs after adopting digital payments. The study is based on a descriptive and analytical research design. Primary data was collected through a structured questionnaire shared using Google Forms. A total of 100 respondents from different age groups participated in the survey. The collected data was analysed using basic statistical tools such as percentage analysis and comparative analysis. The results of the study show that UPI usage has significantly increased the frequency of transactions and has reduced the use of cash. Many users reported increased spending, including impulse purchases, due to the ease of digital payments. The study also found that younger age groups are more comfortable with UPI and show stronger behavioural changes compared to older individuals. The research concludes that while UPI provides great convenience and improves financial accessibility, it may negatively affect spending discipline if not used carefully. The findings of this study can help policymakers, banks, and financial institutions design better awareness programs to promote responsible use of digital payment systems.

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Unified Payments Interface (UPI), Digital Payments, Consumer Financial Behaviour, Spending Behaviour, Impulse Buying, Age Cohorts, Financial Discipline,

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The increasing complexity of modern aircraft systems, coupled with the demand for higher operational efficiency and safety, has driven the evolution of maintenance strategies from reactive and preventive approaches toward predictive, data-driven methodologies. Traditional maintenance practices, which rely on scheduled inspections and failure-based interventions, often lead to unnecessary component replacements or unexpected system failures, resulting in increased operational costs and reduced aircraft availability. In this context, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative technologies capable of leveraging large volumes of aircraft operational data to enable accurate prediction of system health and remaining useful life. This article presents a comprehensive data-driven framework for AI-based predictive maintenance in aircraft systems, integrating sensor data acquisition, health monitoring systems, and advanced analytics to detect anomalies, predict failures, and optimize maintenance scheduling. The study explores the application of machine learning techniques, including supervised learning, time-series analysis, and anomaly detection, to model complex system behavior across critical aircraft subsystems such as engines, avionics, and hydraulic systems. A scalable system architecture is outlined, encompassing onboard data collection, edge processing, secure data transmission, and cloud-based model training and deployment integrated with Maintenance, Repair, and Overhaul (MRO) operations. Furthermore, the article focuses key challenges associated with real-time deployment, including data quality, class imbalance due to rare failure events, model interpretability, and compliance with stringent aerospace certification standards. The operational benefits of predictive maintenance, including reduced unscheduled downtime, improved safety, and cost optimization, are critically examined. Finally, emerging research directions such as digital twin integration, federated learning across aircraft fleets, and explainable AI are discussed as pathways toward next-generation intelligent maintenance systems. By combining domain-specific knowledge with advanced AI methodologies, this article establishes a structured approach for implementing predictive maintenance solutions that enhance reliability, efficiency, and safety in modern aerospace operations.

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Artificial Intelligence, Predictive Maintenance, Aircraft Systems

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The evolution of e-commerce has significantly reshaped modern consumer behavior, offering unparalleled convenience and access to global marketplaces. However, a major drawback of traditional online shopping is the inability to perceive products in a real-world context, leading to uncertainty, misjudgment of size, placement issues, and frequent product returns. Augmented Reality (AR) offers a transformative solution by enabling customers to visualise products in their own environment through mobile devices. This study presents the development of an AR-based e commerce system that integrates optimised 3D product models, Firebase-based secure authentication, and Google Scene Viewer for AR visualisation. The methodology emphasises true-to-scale model creation, mobile-optimised rendering, gesture-based interaction, and cloud-linked product retrieval. The proposed system significantly enhances user clarity, improves product understanding, and increases purchase confidence. Test results demonstrate that AR visualisation can reduce product-related ambiguity and strengthen the overall shopping experience. In addition to furniture and home products, the system is extended to support virtual clothing try on and accessories visualisation, enabling users to preview apparel, glasses, watches, and jewellery on their own body using AR-based overlay techniques.

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--Augmented Reality, E-commerce, Google Scene Viewer, 3D Models, Firebase Authentication, Mobile AR.

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In the modern business environment, organizations are increasingly focusing on sustainability along with profitability. Growing environmental issues such as climate change, pollution, and resource depletion have encouraged companies to adopt eco-friendly practices. Green finance plays an important role by supporting investments in renewable energy, energy efficiency, and waste management. It helps organizations balance economic growth with environmental responsibility. This study examines the impact of green finance initiatives on sustainability and environmental responsibility in the corporate sector, with reference to Weikfield Foods Pvt. Ltd... The research focuses on practices such as solar energy adoption, resource conservation, and efficient operations However, challenges such as high initial cost and lack of awareness still exist. Overall, green finance proves to be an effective tool for sustainable development and long-term business growth.

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Green Finance, Sustainability, Environmental Responsibility, Renewable Energy Financial Performance.

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: Gond art is a significant tribal art form that originates from the Gond community in central India. Initially practiced as a ritualistic and decorative expression on walls and floors, it reflects the community's close relationship with nature, folklore, and spiritual beliefs. Over time, this art form has adapted to modern contexts, transitioning onto paper, canvas, and commercial platforms. This study examines how Gond art has evolved while maintaining its traditional identity. It explores the incorporation of new materials, changing themes, and the influence of contemporary markets. The paper also discusses the challenges of preserving authenticity in the face of modernization. Overall, the research highlights how Gond art continues to exist as both a cultural tradition and a dynamic form of contemporary expression.

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: Gond Art, Tribal Art, Contemporary Art, Traditional Art, Indian Folk Art, Cultural Heritage

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ABSTRACT BACKGROUND: Radiculopathy or nerve root pain arise from disc herniation, spinal stenosis radiating down the leg in a dermatomal pattern. This study focuses on disability, pain and range of motion of spine The study evaluates "The effectiveness of McKenzie technique versus Lumbar stabilization on reducing symptoms and disability of Lumbar radiculopathy. OBJECTIVE: The purpose of the study is to evaluate the effectiveness of McKenzie technique and Lumbar stabilization for the patients with Lumbar radiculopathy. METHODOLOGY: This study included 30patients, they were divided into Group A and Group B. Group A given McKenzie technique and Group B given Lumbar stabilization exercise. Pain was assessed using Visual analogue scale (VAS), Functional disability was measured using Oswestry disability index and Range of motion by Schober test. RESULT: The results between pre-treatment and post-treatment scores of pain and disability are considered. The mean and standard deviation are taken for both the Group A and Group B. The Group A showed better improvement in mean &standard deviation using Visual Analogue Scale, Oswestry disability index scores and Range of motion value than the Group B. CONCLUSION: Both groups showed better improvement in reducing pain and functional disability. This study proved that Group A showed better improvement in reducing pain and reducing functional disability when compared to Group B.

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KEYWORDS: Radiculopathy, McKenzie technique, chronic low back pain, Oswestry disability index, Lumbar stabilization exercise, Visual analogue scale

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The Right to Information (RTI) Act, which came into force on October, 12th 2005 marked a historical step towards transparency and accountability in administration in India. Nearly, two decades, the Act has been instrumental in exposing corruption and various scams, empowering citizens to demand information from public authorities. However, while the Act has undoubtedly brought about remarkable change, certain amendments to the Right to Information rules are necessary to prevent misuse, streamline the process, and reduce the burden on the courts.

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The Right to Information Act - 2005, Constitution, Indian Parliament, The Central Information Commission, Transparency, Accountability, Good governance.

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