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Daily Archives: December 13, 2025

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A Comprehensive Review of Global Groundwater Quality, Hydrochemistry, and Health Risk Assessments

Authors: Nivashini N

Abstract: Groundwater serves as a primary source of drinking and irrigation water across the world, particularly in developing regions where surface water is scarce. However, increasing anthropogenic activities, geogenic influences, and climatic variability have resulted in deteriorating groundwater quality. This review synthesizes findings from ten recent peer-reviewed studies from Africa, Asia, and the Middle East. The selected studies evaluate heavy metal contamination, hydrochemical processes, water quality index (WQI), multivariate statistical assessments, GIS-based mapping, spatiotemporal variability, and human health risks. Results reveal widespread contamination by arsenic, lead, cadmium, nitrate, fluoride, and other ions, with significant non-carcinogenic and carcinogenic health impacts. Hydrochemical analyses indicate that water–rock interactions, ion exchange, and anthropogenic pollution play dominant roles. This review emphasizes the need for integrated groundwater monitoring, sustainable management approaches, and advanced spatial–temporal tools to ensure groundwater safety.

DOI: https://doi.org/10.5281/zenodo.17934323

 

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Development of a Full-Stack Social Media Application Using Spring Boot, React.js, and Cloudinary Multiauthor

Authors: Sujay Dey, Shrey Jaiswal, E Hemasabari

Abstract: The rapid growth of social media platforms has transformed digital communication, content sharing, and online collaboration. This project presents the development of a full-stack social media application using Spring Boot for the backend, React.js for the frontend, and Cloudinary for cloud-based media storage and management. The system is designed to provide core social networking features such as user authentication, profile management, post creation, image and video uploads, likes, comments, and real-time interaction. Spring Boot is utilized to build secure and scalable RESTful APIs, ensuring efficient handling of business logic and database operations. React.js enables the creation of a responsive and dynamic user interface, enhancing user experience through component-based architecture and state management. Cloudinary is integrated to handle media uploads, storage, and optimization, reducing server load and improving performance. Security mechanisms such as JWT-based authentication and role-based access control are implemented to protect user data and ensure authorized access. The proposed application demonstrates how modern full-stack technologies can be effectively integrated to build a scalable, secure, and user-friendly social media platform. This project highlights practical implementation strategies and serves as a foundation for further enhancements such as real-time notifications, chat functionality, and advanced analytics.

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Enhancing Email Verifier and Domain System: Architectural Integration of AI-Driven Email Validation, Domain Intelligence, and Risk Scoring Engine

Authors: Abhinay Gour, Prof. Geeta Santosh

Abstract: In the evolving landscape of digital communication, ensuring the authenticity and reliability of email addresses and domains is critical for maintaining security, optimizing deliverability, and mitigating fraud. This paper presents an integrated architecture for an AI-driven email verification and domain intelligence system, combining real-time validation, domain reputation assessment, and a dynamic risk scoring engine. The proposed system leverages machine learning algorithms to detect syntactic anomalies, validate domain existence, and assess historical engagement patterns, while incorporating threat intelligence to evaluate potential risks such as phishing, spam, and disposable addresses. By unifying these components, the architecture not only enhances email deliverability but also provides actionable insights for cybersecurity and marketing strategies. Experimental results demonstrate that the AI-enhanced approach significantly outperforms traditional rule-based verification methods in accuracy, response time, and risk detection, offering a scalable solution for organizations requiring robust email and domain trustworthiness assessment.

 

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