Volume 14 | Issue 1

 Abstract

This project presents an integrated full stack Smart Agriculture Decision Support System that delivers AI driven crop advisory and digital services to farmers through a unified web platform. The system combines an Artificial Neural Network (ANN)-based crop recommendation module with a Convolutional Neural Network (CNN)-based plant disease detection module that identifies diseases from leaf images and suggests suitable control measures. Alongside these core analytics, the portal offers plant identification, a farmer marketplace, curated government scheme information, agriculture news aggregation, and an AI powered chatbot (Agri-Bot) for natural language query support. The application is implemented using a modular architecture with a responsive front end and RESTful back end, enabling smooth integration of machine learning models and external APIs such as weather services. Functional testing and preliminary user evaluation indicate that the platform provides accurate recommendations and an intuitive user experience, reducing the effort required for farmers to access reliable information scattered across multiple sources. The proposed system demonstrates the feasibility of a one stop smart farming portal and provides a scalable foundation for future enhancements such as IoT sensor integration, multilingual voice interaction, and region specific model customization.

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 Keywords

Primary Keywords : Smart Agriculture, Decision Support System, Crop Recommendation, Plant Disease Detection, ANN, CNN, AgriBot Technical Keywords: Artificial Neural Network, Convolutional Neural Network, TensorFlow.js, Soil Analysis (N,P,K,pH), Application Keywords: Crop recommendation, Plant disease detection, plant ID, Marketing, Government Schemes, Agriculture News, Price Prediction, AI Chatbot Domain Keywords: Agriculture 4.0, Smart Farming, Real-time Advisory, Full-stack Web Portal, Farme

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Although "health" and "well-being" have been the center of attention within the medical and psychological fields for many centuries, a growing body of evidence suggests that this interest has been expanding to many other disciplines. More research is necessary to comprehend the individual variances that are displayed within those criteria and how the contribution of other professions is seen because health and well-being are complicated concepts (Christoforou, et.al 2024). Much has been written about challenges of health and wellbeing among healthcare professionals and other related topics in recent years but the present research paper has been focused about Physical, psychological, emotional, social, occupational, and chemical issues, biological risk, ergonomic risk are all part of the complex problem of healthcare professional's workplace health and wellbeing. This research paper highlights the need for comprehensive, multi-level strategies to create a safe and supportive work environment by synthesizing recent research on the various health issues faced by healthcare professionals and assessing organizational interventions meant to improve their well-being.

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Health and wellbeing, healthcare professionals, health challenges, organizational intervention etc.

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 Abstract

The Antique Siddha system of medicine deals through internal medicine and External Medicine . This system has an unambiguous surgical management with asura maruthuvam where It comprised of several therapy consists of kombukattal, aruvai, Suttigai and kudori, where kudori is predominantly used for in emergency cases like snake bite, psychiatry, epilepsy and eye disorders Although Kudori is well-documented in ancient manuscripts, its clinical application has been undervalued in recent decades. The therapy is known for its simple yet effective methodology, using readily available instruments such as sharp knives, coconut shells, glass pieces, or rice grains with husk. Its underlying principle is to eliminate toxins and restore balance, thereby providing rapid relief in acute and life-threatening situations been described in ancient text which are briefly detailed in this manuscript.

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 Keywords

Kudori maruthuvam, Surgery, External Medicine, Siddha, AYUSH

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In the last 20 years, worldwide mobile phone subscriptions have grown from 12.4 million to over 5.6 billion, penetrating about 70% of the global population. Its usage has also become an important public health problem as there have been reports of plenty of health hazards, both mental and physical, in people of all age groups. On 31 May 2011 the World Health Organization confirmed that cell phone use indeed represents a health means, and classified mobile phone radiation as a carcinogenic hazard, possibly Carcinogenic to humans. Mobile phone because of the ever availability and its mobility application has created a dramatic interest for youth in comparison with other communication technologies and has also provided the communication status from everywhere or in every time and people can also be online all the time, responsive and available with (short message system), while chatting needs facilities like computer, internet connection and interaction of two persons that one may not be online at the same time. Addiction to internet and new communicational tools as a health problem has recently been considered as h mental disorder.

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Descriptive study, Nomophobia, school going children

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Sapta Dhatu Siddhanta: An Ayurvedic Conceptual Framework for Structural and Functional Integrity of the Human Body

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Sapta Dhatu Siddhanta: An Ayurvedic Conceptual Framework for Structural and Functional Integrity of the Human Body

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Effectiveness, structured educational programme, prevention of hypertensive complications. hypertensive patients.

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The Biopharmaceutical Classification System (BCS) was created to minimise the need for in vivo bioequivalence studies and to enable in vitro dissolution experiments to be used as a proxy for in vivo bioequivalence studies. The biopharmaceutical classification system classifies pharmacological compounds based on their solubility ratio, dissolution, and intestinal permeability. It enables drug products' in vivo pharmacokinetic performance to be predicted. The BCS categorization system's concepts may be used to NDA and ANDA approvals, as well as scale-up and post-approval drug manufacturing adjustments. As a result, pharmaceutical businesses may save a substantial amount of time and money on product development. The drug can be classified into four classes of the BCS namely, high solubility high permeability, low solubility high permeability, high solubility low permeability, low solubility low permeability. The formulation scientist can use BCS knowledge to produce appropriate dose forms based on mechanistic rather than empirical methodologies. Solubility- and dissolution-enhancing formulation strategies based on the supersaturation principle to enhance the extent of drug absorption, along with the applications of the BDDCS to the understanding of disposition phenomena are reviewed. Finally, recent classification systems relevant either to the BCS or the BDDCS are presented.

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BCS, Metoprolol

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The E-Learning Platform is a large Java-based web application that aims to update and streamline online learning. It offers an online space for teachers to develop, administer and publish their courses while also giving students the possibility to register, enroll in courses and check study materials without limitation. The project is also a great example of the practical use of object-oriented programming concepts, such as Encapsulation, Inheritance and Polymorphism, in order to make your code readable, modular, testable and maintainable. The backend part of the system is written in Java and structured as a number of packages, such as API, models and services, taking care of different functionalities, including course management, user authentication and data manipulation. The application frontend is built with HTML, CSS and JavaScript making it a nicely end-user-oriented look. It enables a seamless collaboration between the client and the server for better reach of the platform. Basic API communication was integrated to handle requests such as login, registration, course creation, and enrollment. The initiative is to show how strong Java fundamentals can be used to solve real cases by applying them with the server-oriented and web-based techniques. It serves as a central and interactive platform for both teachers and students to enable digital learning. It also just illustrates the benefits of employing Java in secure, productive and object-oriented web development. In general, e-learning systems promote the development of educational technology by offering flexibility, adaptability and accessibility in learning at any time and everywhere.

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Keywords: E-Learning Platform, Java Web Application, Object-Oriented Programming (OOP), Educational Technology, Frontend Development, Backend Architecture, API Communication.

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Since the advent of civilization, the environment has received various type of pollutants. The first record of anthropogenic pollution may well be traced back with the discovery of fire by humans that initiated adding up of toxic oxides of carbon, nitrogen and sulphur in the atmosphere. As civilization advanced, human activity contributes to creating new sources of environmental pollution. Atmospheric pollution is one of the major problems because it affects the fauna and flora, and people themselves. Nowadays the biggest provocative of atmospheric pollution is anthropogenic human activities and transport sector, main pollutants being heavy metals. A quick, cheap and easy way to investigate the state of the environment is to use Bryophytes which prove to be a potential bio-indicator of pollution. The habitat diversity, structural simplicity, totipotency, rapid rate of multiplication and high metal accumulation capacity make mosses an ideal organism for pollution studies. Bryophytes are reliable indicators of pollution as they are easy to handle and show a vast range of specific sensitivity and visible symptoms to pollutants. Mosses is one of the most popular bio-indicator of heavy metal pollution of atmosphere, perspective and cost-effective method to control, detect and evaluate pollution. Naturally-occurring mosses have been sampled across Europe to monitor the pollution. This study is made with anticipation of supporting the green city development with a natural, sustainable and low maintenance rate solution. For the work to identification of Potentially Toxic Elements in mosses Atomic Absorption Spectroscopy (AAS) technique used.

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Mosses, Bio-indicator, pollution, heavy metals.

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The relationship between economic growth, energy consumption, and environmental quality remains one of the most widely debated themes in environmental economics. Using insights from ten influential studies (1995-2021), this review consolidates evidence on the Environmental Kuznets Curve (EKC), the role of renewable versus non-renewable energy, causality between income and emissions, and the sectoral determinants affecting environmental outcomes. The reviewed literature offers mixed but insightful results: while certain developing and middle-income regions show EKC-consistent improvements at higher income levels, most global evidence refutes the notion that economic growth alone can solve environmental degradation. Renewable energy adoption emerges as a critical moderating factor capable of reducing greenhouse gas emissions without hindering GDP. The review concludes that structural economic reforms, clean-energy transitions, and regional policy considerations are essential for achieving sustainable development.

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Environmental Kuznets Curve (EKC), Economic Growth, Energy Consumption, Renewable Energy, Non-renewable Energy

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Rapid urbanization and suburban expansion have driven a significant transformation in the spatial planning and social context of childhood, often failing to integrate Children's needs within housing design. This paper explores strategies to reshape child scale spaces in suburban housing, prioritising parameters like safety, individual exploration and community engagement. This paper also provides a holistic approach in the development of the child based on different age groups according to their needs.

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Child scale spaces, Safety & Accessibility, Re-creational spaces, Individual exploration, Community engagement & Social interaction

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The Election Commission of India is an autonomous, constitutionally established federal authority responsible for administering all the electoral processes in the Republic of India. Under the supervision of the commission, free and fair elections have been held in India at regular intervals as per the principles enshrine in the Constitution.

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political parties, election commission

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A revolutionary Web Application which will revolutionize the two wheeler servicing industry by online bike service booking with pickup and drop. Long queues, poor service transparency and booking woes are the usual pitfalls of a bike servicing. These problems are eliminated by offering a digital platform to register, schedule services, add more tasks, and pay online for the services and track vehicle online in real time throughout the service life. Customers receive milestone updates such as an e-commerce tracker, service centres receive revenue from automated request routing, real time status, and digital record keeping. Digital invoicing, multi-channel payments and ratings and feedback are user experience and trust. It connects consumers and service providers, ensuring openness, effectiveness and customer satisfaction for urban mobility. It is intended to scale and integrate with AI and IoT.

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Online Bike Servicing, Pick-up and Drop Scheduling, Real-time Tracking, AI-driven Scheduling, IoT Integration, Customer Satisfaction, Web Application, Service Automation

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Gastric cancer remains a major cause of cancer-related mortality worldwide, largely due to late diagnosis and the systemic toxicity of conventional chemotherapy. Oral anticancer therapy is often limited by poor bioavailability, short gastric residence time, narrow absorption windows, and drug instability in the intestinal environment. Gastroretentive drug delivery systems (GRDDS) offer an effective approach to overcome these limitations by prolonging gastric retention and enabling controlled, site-specific drug release. This review summarizes recent advances in gastroretentive drug delivery systems for cancer chemotherapy, with emphasis on gastric cancer treatment. Various GRDDS strategies, including floating, mucoadhesive, swelling, magnetic, and expandable systems, are discussed along with the role of polymers and nanocarrier-based formulations. Recent studies involving anticancer agents such as 5-fluorouracil, capecitabine, curcumin, and doxorubicin are highlighted. Overall, GRDDS show strong potential for improving the safety and efficacy of oral cancer chemotherapy.

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 Keywords

Gastro retentive drug delivery system; Gastric cancer; Chemotherapy; Floating drug delivery system; Mucoadhesive system; Controlled drug release; Site-specific drug delivery; 5-Fluorouracil; Capecitabine; Polymer-based drug delivery

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Narcissistic abuse represents a distinct and severe form of psychological trauma characterized by coercive control, gaslighting, emotional manipulation, and systematic erosion of personal boundaries. Despite growing recognition of its clinical impact, existing assessment instruments inadequately capture boundary dysfunction the core mechanism through which narcissistic abuse operates. The present paper introduces the Empowerment & Boundaries Assessment (EBA) and Boundaries Enhancement Therapy (BET) as an integrated, empirically informed framework for assessment, intervention, and outcome evaluation among survivors of narcissistic abuse. The EBA is a multidimensional self-report measure assessing emotional, cognitive, behavioural, and relational boundary functioning, while BET is a structured, phase-based therapeutic model designed to restore autonomy, empowerment, and relational safety. This paper details the theoretical foundations, development, psychometric properties, administration, clinical applications, ethical considerations, and research implications of EBA and BET. Together, these tools provide a comprehensive, trauma-informed, and research-ready model for clinicians and scholars working in the field of narcissistic abuse recovery.

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Narcissistic abuse, psychological boundaries, empowerment, trauma-informed care, assessment, psychotherapy

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Algorithmic trading systems operate in highly stochastic, non-stationary, and adversarial environments shaped by market microstructure, liquidity constraints, and strategic agent inter action. Classical quantitative trading strategies rely on fixed rules or parametric models that degrade under regime shifts and tail-risk events. Artificial intelligence (AI) offers a principled framework for learning predictive signals, optimizing sequential decisions, and managing risk under uncertainty. This paper presents an in-depth study of AI-driven algorithmic trading with an emphasis on forecast-guided reinforcement learning and risk-aware optimization. We formalize trading as a constrained stochastic control problem, derive objective functions incorporating return, volatility, drawdown, and transaction costs, and introduce a hybrid learning architecture that integrates probabilistic price forecasting with reinforcement learning. We develop a rigorous experimental framework evaluating robustness under regime changes, volatility shocks, and execution frictions using reproducible market simulations. Results demonstrate consistent improvements of 25-40% in risk-adjusted returns compared to traditional strategies while maintaining bounded drawdowns and stable behavior. We conclude with theoretical insights and practical considerations for deploying AI trading systems in real-world markets.

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AI, Optimization, Trading , Machine Learning , Neural Network

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Sustainable agriculture and soil health management are increasingly critical due to rising food demands and environmental challenges. Traditional soil testing methods often involve expensive laboratory equipment, skilled personnel, and long processing times, making them inaccessible for frequent on-site monitoring by rural farmers. To address these limitations, this study presents the design and fabrication of a paper-based microfluidic device (?PAD) for the rapid, low-cost detection of phosphorus in soil. The device utilizes capillary action to transport soil extracts through hydrophobic wax-printed channels to a reaction zone. Detection is based on the molybdenum blue colourimetric reaction, where orthophosphate ions react with reagents to form a blue complex, the intensity of which is proportional to the phosphorus concentration. Results are quantified via a smartphone application, providing an accessible readout for immediate field decision-making. This portable platform demonstrates significant advantages in time efficiency and affordability compared to conventional methods, supporting sustainable resource management in precision agriculture.

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Phosphorus detection, Microfluid, Capillary action, soil Testing

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Agenesis of vermiform is a exceptionally rare congenital anomaly, most often identified incidentally during surgical exploration for suspected acute appendicitis. Its clinical significance lies in its ability to closely mimic acute appendicitis, frequently leading to diagnostic and intraoperative dilemmas. This case report discusses a 29 year old female who presented with acute onset abdominal pain and vomiting for last 24 hours, clinical examination revealed severe colicky pain localized to right iliac region suggestive of acute appendicitis. Ultrasound of the same day reported a mildly inflamed appendix with diameter 6.6 mm, enlarged surrounding lymph nodes and no abnormality related to adnexa, reinforcing the provisional diagnosis. Intraoperatively, the appendix was not found at the converge of taenia coli. Further exploration of right adnexa reveled a ruptured, twisted, hemorrhagic ovarian cyst on the right side, for which right oophorectomy was performed. Postoperative management included broad spectrum antibiotics, aseptic wound care and radiological follow ups, leading to significant clinical improvement. The absence of the appendix obliges the surgeon to actively search for alternative causes of right iliac fossa pain, particularly gynecological conditions in females of reproductive age. Unnecessary caecal dissection may increase operative time and risk of complications such as serosal injury or postoperative ileus. When appendicular agenesis is confirmed and the underlying pathology is appropriately addressed, the prognosis is excellent, with no long-term adverse outcomes related to the anomaly itself. Awareness of this rare entity, combined with a systematic intraoperative approach and judicious decision-making, is crucial to prevent avoidable morbidity and to ensure optimal surgical management in patients presenting with a clinical picture suggestive of acute appendicitis.

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Agenesis of appendix, Appendicitis, Torsion of ovary, Caecal diverticulum, Appendiceal anomaly, rare case report

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In reliability, a life time distribution can be characterized by the reliability function. In this paper considered a situation when stress follow mixture of weibull distribution to find reliability of a system. It has been studied when strength follow weibull distribution and stress follow finite mixture of weibull distribution. The general expression for the reliability of a system is obtained. The reliability is computed numerically for different values of the stress strength parameters.

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Reliability, Stress - strength system, weibull distribution.

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This study examines long-term crime trends in India from 2001 to 2025 using National Crime Records Bureau (NCRB) data to analyze temporal patterns, spatial disparities, and institutional context. Using descriptive analytics, state-level panel regressions, and spatial mapping, the study evaluates trends in overall IPC crimes, crimes against women, and selected socio-demographic and justice indicators. Results indicate a sustained increase in reported IPC crimes, particularly after 2014, with significant spatial concentration in urbanized states and districts. Panel fixed-effects models reveal positive associations between crimes against women and overall IPC crime rates, while economic crimes show a negative association, highlighting reporting and classification dynamics. The analysis further demonstrates that urbanization and justice infrastructure capacity influence crime visibility across states. The findings underscore the importance of strengthening institutional capacity, improving reporting mechanisms, and adopting data-driven policing strategies for effective crime prevention and governance.

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Crime Trends in India, Crime Statistics, Temporal Crime Analysis, Spatial Crime Patterns, Crime Data Analysis, Socio-Demographic Indicators.

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