Volume 13 | Issue 7

 Abstract

This paper presents the implementation design of a blockchain-based decentralized wallet system for electric vehicle (EV) charging stations with comprehensive feasibility analysis and performance projections. The system addresses key challenges in the EV charging ecosystem, including payment fragmentation, high transaction fees, security concerns, and lack of interoperability. We propose a solution using Ethereum blockchain technology that enables seamless cross-network payments, transparent billing, and peer-to-peer energy trading. Our implementation approach incorporates wallet management, authentication using decentralized identities, automated payment processing, and real time monitoring capabilities. The feasibility analysis demonstrates potential transaction cost reduction of 65-80%, settlement time improvement from 2-3 days to 15-30 seconds, and security enhancement through cryptographic protocols. Performance projections indicate the system can handle 10,000+ concurrent charging sessions with 99.9% uptime. The proposed implementation provides a viable and economically feasible model for addressing interoperability challenges in EV charging infrastructure while enhancing user convenience and reducing operational costs.

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 Keywords

: Blockchain, EV Charging, Smart Contract, Decentralized, Wallet, Feasibility Analysis

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Abstract: The behaviour of any person forms his personality, and the pattern of the knowledge he acquires decides what he will do and be in the future. It becomes more important from the point of view of law to assess how the students of law can contribute in building the Society and Nation. For these objectives, the study was conducted. For the collection of data, 17 urban and 17 rural law students of Raigarh district have been randomly selected. For the assessment of personality, the PEN inventory tool (created by Eysenck) of psychological assessment has been applied on the subjects. Data were obtained from the law students of Raigarh District through an online Google questionnaire. Data has been analysed by two sample t-test with equal variants. On the basis of data, it is concluded that no significant difference was found between introverted and extroverted behaviour of rural and urban law students, while a significant difference was found between psychoticism and neuroticism of law students on the prospective of urban and rural. The data reveals that rural law students have more psychoticism and neuroticism than urban law students.

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introverted, extroverted, psychoticism, neuroticism, law students, PEN inventory, Eysenck.

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In today's globalized world, real-time communication across language barriers is vital. This research proposes a mobile chat application that automatically translates text messages between Hindi, Marathi, and Bhojpuri in real-time using neural machine translation (NMT). The system is designed for seamless multilingual interaction among users with different regional language preferences. We utilize existing open-source language models and integrate them into a React Native-based app with a Node.js backend. The implementation focuses on accurate, low-latency translations, especially for low-resource languages like Bhojpuri. Our work aims to bridge the linguistic gap in digital communication across Indian languages.

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 Keywords

Multilingual Chat, Machine Translation, Real-time Communication, Hindi, Marathi, Bhojpuri, React Native, Low-resource Languages

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 Abstract

Secure and private access to data remains as the critical issue when managing infrastructure relocation to cloud platforms. Traditional security systems based on rules often fall short in identifying and addressing modern, complex cyber threats. Artificial Intelligence capabilities form an effective platform which detects security issues while it also forecasts risks and executes automated security actions. This document examines how cloud security patterns use AI-based systems that detect and lessen security threats to evolve. It discusses AI techniques, architecture, real-world applications, challenges and future prospects, providing a comprehensive view for both academic and professional readers.

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 Keywords

Cloud Security ,Privacy Protection, AI-Driven Threat Detection , Machine Learning in Cloud, Cyber Threat Mitigation , Deep Learning Security , Anomaly Detection ,Federated Learning , Reinforcement Learning , Intrusion Detection Systems (IDS) ,Cloud Computing Security ,Account Hijacking Prevention , Data Loss Prevention, Zero-Day Attack Detection

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 Abstract

o To asses the knowledge regarding TECHO PLUS in selected PHC at chittoor o To associate the level of knowledge with selected demographic variable among ASHA workers at chittoor

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"A STUDY TO ASSESS THE KNOWLEDGE REGARDING TECHNOLOGY ENABILING COMMUNITY HEALTH OPERATIONS PLUS AMONG ASHA WORKER WORKING IN SELECTED PRIMARY HEALTH CARE CENTER, CHITTOOR".

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This study investigates the brand loyalty of consumers toward Castrol engine oil, a leading brand in the global and Indian lubricant markets. In an increasingly competitive automotive lubricant industry, customer retention and long-term loyalty are vital to sustaining market leadership. The objective of this research is to assess the degree of loyalty among Castrol users and to identify the key factors--such as product quality, customer satisfaction, brand trust, pricing, availability, and recommendations by mechanics--that influence continued usage and preference. The findings reveal that Castrol enjoys strong brand equity, with most users expressing satisfaction regarding its performance and reliability. Notably, product quality and brand reputation emerged as the dominant reasons for continued usage, although price sensitivity was observed among certain consumers when promotional offers from competing brands were presented.

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Keywords:Brand Loyalty, Consumer Behavior, Engine Oil Market, Castrol, Customer Satisfaction.

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Wet baby wipes are pre-moistened cloths commonly used for cleaning and hygienic purposes, particularly for infants. These wipes are designed to provide an efficient, convenient solution for cleaning babies' delicate skin, offering an alternative to traditional methods like water and soap. Typically made from a combination of non-woven fabrics and various soothing ingredients, such as terminalia Arjuna, papaya seed powder and vitamins, wet baby wipes are formulated to be gentle and safe for sensitive skin. The wipes are soaked in a mild cleaning solution containing water, surfactants, preservatives, and moisturizing agents to cleanse, hydrate, and protect the skin. They offer a practical solution for on-the-go diaper changes, quick clean-ups, and even in cases where water access is limited. The widespread use of wet baby wipes has raised concerns about their environmental impact, particularly in relation to their disposal, as many contain non-biodegradable materials. Consequently, the industry is increasingly focusing on developing more sustainable alternatives, such as biodegradable wipes, to address these concerns while maintaining their practical benefits.

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Baby hygiene, Pre-moistened wipes, Sensitive skin, Gentle wipes

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The COVID-19 pandemic has revealed critical vulnerabilities in global healthcare supply chains, highlighting the urgent need for predictive, resilient, and intelligent systems. Artificial Intelligence (AI), particularly in the form of predictive analytics, offers transformative potential for enhancing demand forecasting and risk mitigation in healthcare logistics. This review synthesizes the state-of-the-art AI techniques used in healthcare supply chains, emphasizing machine learning (ML), deep learning (DL), hybrid approaches, and federated learning. The paper critically compares experimental outcomes across models, discusses implementation challenges, proposes a theoretical AI-integrated supply chain model, and highlights real-world use cases. Findings indicate that AI-based forecasting models significantly outperform traditional statistical methods, particularly in volatile and high-demand scenarios. However, barriers such as data privacy, infrastructure gaps, and ethical concerns remain. The review concludes with a roadmap for future research and strategic adoption of AI in healthcare logistics, promoting more resilient, transparent, and equitable health systems.

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Creative Commons Attribution 4.0 and The Open Definition

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Healthcare Supply Chain; Demand Forecasting; Risk Mitigation; Federated Learning; LSTM; Hybrid Models

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores the impact of social media marketing on the real estate business, focusing on how platforms such as Facebook, Instagram, LinkedIn, and YouTube influence customer engagement, brand visibility, and sales conversion. The research examines the effectiveness of social media in reaching target audiences, building trust through virtual tours and client testimonials, and facilitating two-way communication between realtors and potential buyers. Findings suggest that real estate companies that strategically leverage social media experience higher lead generation, improved client relationships, and enhanced market competitiveness. However, the study also highlights challenges such as managing online reputation and adapting to rapidly changing digital trends. Overall, this paper underscores the critical role of social media marketing in reshaping the landscape of real estate business operations and client acquisition strategies.

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Social media marketing, online platforms, real estate, promotions, customer engagement.

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Traditional sea salt manufacturing, once a vital livelihood and cultural practice in coastal West Bengal, is witnessing a rapid decline under the historical policy change, pressure of tourism-led development, land-use change, and socio-economic transformations. This paper investigates the existing body of literature to identify thematic patterns, conceptual gaps, and potential directions for future research in the context of traditional sea salt production along the Mandarmani coastal stretch under the Midnapore coast. By employing a systematic literature review approach, this study analyzes national and regional publications, grey literature, and institutional reports spanning environmental, socio-economic, and policy dimensions. The findings reveal significant underrepresentation of traditional salt-making in academic discourse, particularly regarding its socio-ecological significance, historical continuity, gendered labor roles, environmental impacts, and its potential integration into sustainable coastal economies. Moreover, critical issues such as land tenure insecurity, loss of indigenous knowledge, and the absence of supportive policy frameworks remain poorly addressed. This paper also proposes a multi-disciplinary research agenda that integrates environmental history, community-based resource governance, and coastal livelihood resilience. The study underscores the urgency of rethinking traditional salt manufacturing not only as an economic practice but also as a repository of cultural heritage and ecological knowledge. By refining the scope for future research, the paper aims to contribute to sustainable development discourse in coastal India and promote the visibility of marginalized artisanal communities in academic and policy frameworks.

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 Keywords

Traditional sea salt manufacturing, Mandarmani coastal stretch, coastal livelihoods, Literature review, knowledge gaps and research potentials

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Creative Commons Attribution 4.0 and The Open Definition

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In today's digital era, cloud computing is widely adopted for storing and managing data. However, it brings serious challenges related to data leakage, unauthorized access, and security breaches. This research presents a comprehensive system for detecting and preventing data leakage in cloud environments. The proposed approach integrates Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), digital watermarking, and anomaly detection techniques such as Isolation Forest. It also incorporates Zero Trust principles and secure logging mechanisms to ensure end-to-end protection. The experimental results show that the system effectively identifies suspicious behavior and prevents unauthorized data access with minimal overhead. This work contributes to building a secure and reliable cloud infrastructure for sensitive data storage and transmission.

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Data Leakage Detection

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This work describes the design and analysis of phase-locked loops. These PLLs are useful in applications such as precise frequency synthesis, phase-aligned clock generation, and robust phase alignment in, not limited to, wireless communica-tions, RF front-ends, and high-speed data converters. It is realized in a form that provides process compatibility with modern integrated circuit processes, implemented in SCL-180nm CMOS technology, which properly balances power consumption against phase noise performance. The different parameters of the developed PLLs are comprehensively simulated for performance evaluation, including phase noise, locking time, and spurious signal suppression.

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PLL, Phase-Locked Loop, Fractional-N, Integer-N, Frequency Synthesis, SCL-180nm, VLSI, Charge Pump.

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 Abstract

Industrial processes, daily use products and occupational exposures have bring human and many chemicals very much closer than never before. This study focuses on such chemicals - Endocrine Disrupting Chemicals (EDCs) and Occupational Hazardous Chemicals (OHCs) and attempts to find Ayurvedic management of poisoning in patients who have been exposed to these chemicals. EDCs' and OHCs' tend to accumulate in our body in fatty tissues - a phenomenon known as Bioaccumulation. Later they may be released into bloodstream. In this way, once entered into human body, they last life long and keep damaging body tissues, leading to organ failure and even death. EDCs are found in many everyday products, including plastics, detergents, flame retardants, food, toys, cosmetics, and pesticides. EDCs can alter the hormonal signals that control and guide much of our growth and development, the way our organs function, and our ability to fight disease. Exposure to EDCs is linked with cancers, diabetes, reproductive disorders, neurodevelopmental impairment, and immune system suppression. Also, the OHCs are proven detrimental to human health. EDCs and OHCs chemicals has close resemblance with Dushi Visha and Gara Visha in terms of symptoms, complications produced by them.

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Key words - Endocrine Disrupting Chemicals, Occupational Hazardous Chemicals, Bioaccumulation, Dushi Visha, Gara Visha

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 Abstract

Indigenous Knowledge Systems (IKS) are context-specific, embodied epistemologies transmitted orally through communal practices. This paper examines the representation of IKS in three Malayalam novels--Nellu (P. Valsala), Khasakkinte Itihasam (O. V. Vijayan), and Aathi (Gift in Green) (Sara Joseph)--to highlight how these narratives foreground ecological wisdom, gendered epistemologies, and resistance to environmental degradation. Through literary analysis of narrative structure, character development, and symbolism, it is shown how these novels retrieve vernacular knowledge, critique hierarchical worldviews, and advocate epistemic diversity. As repositories of Kerala's indigenous worldviews, they assert cultural sustainability and foreground ecologically just futures.

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Indigenous Knowledge Systems, Malayalam Literature, Ecofeminism, Sacred Resistance, Agrarian Ontology, Decolonial Epistemology

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Creative Commons Attribution 4.0 and The Open Definition

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This project focuses on four main parts. The first is to analyse customer perceptions on E-commerce. The second is to evaluate the customers' EXPERIENCE and challenges faced on E-commerce over internet. The third is to know the issues of customers faced. The fourth is to find out how growth of e-commerce. This study aims to explore and analyse customer perception and experience within the e-commerce industry, focusing specifically on the Kandalakoya region. With the rapid growth of digital marketplaces, understanding consumer behaviour and satisfaction levels has become crucial for e-commerce businesses to sustain and enhance their competitive edge. The research investigates key factors influencing customer perceptions, including website usability, product variety, pricing, delivery services, and after-sales support. Through a combination of quantitative surveys and qualitative interviews conducted with consumers from the Kandalakoya region, the study identifies the prevailing trends, preferences, and challenges faced by customers when engaging with online platforms. The findings reveal critical insights into customer expectations and highlight areas for improvement to foster better user experience. This research contributes to the broader understanding of e-commerce dynamics in emerging regions and offers practical recommendations for stakeholders aiming to optimize service delivery and customer satisfaction.

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E - Commerce, Customer Perception and Experiance

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This paper talks about the complicated interweaving of caste, gender and class in Dalit women's account, centering on the terrible impact of Brahmanical patriarchy and their journey towards change and resistance. Through critically examining the works of Dalit women writers- The Prison We Broke by Baby Kamble and The Weave of My Life by Urmila Pawar, their account gave an insight how Dalit women face triple marginalization, they went through numerous layers of repressions that made them feel excluded from the society. The research delves into the culture and tradition of Mahar, exposing the ingrained caste and gender inequality. By treading on the transformative change from silence to speech, the study discloses how Dalit women not only represent the saga of their suffering but also exhibit courage to fight for Dignity and equality.

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Brahmanical patriarchy, marginalization, oppression, resistance, equality, Dalit literature.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fish species identification via machine learning is critical for fisheries management, biodiversity assessment, and automated ecological monitoring. In this work, we employ a two stage pipeline: first, images are preprocessed by contrast normalization (CN) and Unsharp Mask Filter (UMF), and individual fish instances are detected using a YOLOv5 based model. In the second stage, detected instances are classified into species using a fine tuned Convolutional Neural Network (CNN), specifically ResNet50, where NsN_sNs denotes the number of target species. Data augmentation--including rotation, scaling, and color jitter--is applied to improve robustness to underwater lighting variability. Models are trained and evaluated on a dataset of MMM labeled fish images (where MMM defines the total image count), achieving an overall classification accuracy of 98.7% and mean F1F_1F1-score of 0.985. No reference citations appear in this abstract. All variables--CNCNCN, UMFUMFUMF, NsN_sNs, MMM, and F1F_1F1--are defined.

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 Keywords

fish species identification; YOLOv5; ResNet50; CNN; data augmentation; underwater image processing; fisheries monitoring.

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Creative Commons Attribution 4.0 and The Open Definition

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An increase in consumption of junk food by the present generation across many countries, especially among the reproductive age group women has turned into a substantial health problem. The consequences of intake of non-nutritious food can affect the metabolic wellbeing and procreation in young women. Junk foods are usually low in vital nutrients like fibre, vitamins and minerals but very rich in saturated fats, trans fats, refined sugar, sodium and chemical substances. One of the most common causes of infertility has been linked to polycystic ovary syndrome (PCOS) and obesity, the first of which has been linked to frequent consumption of junk food that cause disturbances in metabolism, hormonal imbalance, insulin patterns, and increase in weight gain. Furthermore, junk foods may stimulate oxidative stress and systemic inflammation further worsening the reproductive functionality. The paper is a review of the current scientific evidence on the effects of junk food on female fertility, pathophysiological mechanisms, clinical and epidemiological evidence, socioeconomic factors and the importance of dietary interventions as a means of preventing infertility as well as to improve the reproductive health

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Junk food, female fertility, PCOS, hormonal imbalance, infertility, dietary habits

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Drug repositioning, or drug repurposing, is a purposeful mission that involves coming up with new therapeutic applications for existing drugs. This is the case since the method utilizes existing safety data and pharmacokinetic attributes in a more cost effective and less time-consuming manner. In this paper, we look at the principles, approaches, achievements and obstacles of medication repurposing with the aim of arguing in favour of its use as a means of fostering therapeutic innovation and improving the efficiency of drug development processes. Drug repositioning is also referred to as drug repurposing and is defined as finding new therapeutic indications for a drug which was developed or approved for other indications. Clinical data, which has been verified for use, is used in this method to accelerate the finding of breakthrough treatments.

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In Silico Drug Discovery, High-Throughput Screening, Clinical Trials, Drug Repositioning, Computational Medicine.

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Creative Commons Attribution 4.0 and The Open Definition

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Stress is a common factor in daily life. Sometimes it acts as positive and sometimes it acts as negative. Based on the situation, it acts accordingly. It can cause various health issues. According to the latest study, many IT employees face stress-related issues in their daily lives. This can be solved by various types of techniques like work-life balance, playing stress-relieving games for reducing stress, taking possible breaks between work, etc. These are some techniques to avoid stress. Stress can be positive; it helps to reach the goal in the allotted time. According to the latest study, 50% to 70% of IT employees are facing stress-related issues, which are leading to health issues.

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Creative Commons Attribution 4.0 and The Open Definition

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Stress, IT employees, Health issues, Work-life balance, Stress-relieving techniques, Stress-related issues, Positive stress, Daily life, Breaks during work Stress management

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Creative Commons Attribution 4.0 and The Open Definition