Daily Archives: January 3, 2026

Authors: Dr. Himanshu Sharma, Dr. Ankur Goel, Dr. Sapna Deshwal

Abstract: Present-day tourism research has increasingly focused on food tourism. Food is always together with human’s life and will always have a hope to grow in the tourism industry. Food experiences both inside and outside the country is always a part of food tourism. Varanasi is expanding in all directions, and as a result, its tourism industry is expanding as well. This will open up a lot of new opportunities for the locals of this tourist destination to improve their food experiences and share them with others. The fundamental ideas surrounding food tourism are identified as a major research concern in this paper, which focuses on tourism research. In addition, this study reveals that employment generation and the development of local culture are directly linked to the expansion of local food tourism. The researcher also finds food tourism research from a cultural perspective. Most people agree that eating local food is an important part of what tourists do. Food that is both original and one-of-a-kind to the area can be important as a tourist attraction in and of itself as well as in shaping a destination's image. Experiences with local food have the potential to significantly support agricultural diversification, maintain regional recognition, and contribute to sustainable development.

Published by: vikaspatanker

Authors: Adefila Adewale James, Onosemuode Christopher

Abstract: Effective environmental regulation is critical for minimizing the air quality impacts of energy infrastructure, particularly in regions with dense industrial activity. In Nigeria’s Niger Delta, gas-fired power plants form the backbone of electricity generation, yet concerns persist regarding their environmental compliance and regulatory oversight. This study evaluates the effectiveness of air quality regulation and environmental compliance mechanisms governing gas-fired power plants in selected Niger Delta states. Using a mixed-methods approach, the study integrates ambient air quality measurements, regulatory document review, institutional analysis, and stakeholder interviews to assess compliance with national air quality standards and the enforcement capacity of regulatory agencies. Findings reveal persistent exceedances of regulatory limits for particulate matter and nitrogen dioxide in host communities, alongside systemic gaps in monitoring, enforcement, and inter-agency coordination. While regulatory frameworks exist on paper, weak implementation, limited technical capacity, and poor data transparency undermine their effectiveness. The study provides policy-relevant insights and proposes actionable reforms to strengthen air quality governance and protect public health in Nigeria’s energy-producing regions.

DOI: http://doi.org/10.5281/zenodo.18139392

Published by: vikaspatanker

Authors: K. Nagarathna, Darshan C D, Chetan Shanawad, Channu Anand Honnammanavar, Vijay Musaguri

Abstract: This project presents an IoT-based system for real-time vehicle tracking, fuel monitoring, and theft detection. The system integrates an ESP32 microcontroller, GPSmodule, GSMmodule, andfuel -levelsensorstomonitor vehicle conditions and transmit data to the cloud. A comprehensive alert mechanism notifies the user during unauthorizedvehiclemovement, fueltheft, orcaptampering. The system is designed to be cost-effective, accurate, and reliable, making it suitable for fleet management and personal vehicle security.

DOI: http://doi.org/10.5281/zenodo.18137733

Published by: vikaspatanker

Authors: Ashok Kumar Kanagala

Abstract: The proliferation of AI-native architectures has introduced autonomous, model-driven systems with unprecedented capabilities and complex security challenges. These systems, often deployed across multi-agent pipelines and edge environments, expand the attack surface and exhibit dynamic, unpredictable behaviors that traditional security frameworks fail to address. Despite emerging research on AI robustness and alignment, comprehensive strategies for proactively securing agentic AI remain underdeveloped. This paper investigates the operationalization of Zero Trust principles in AI-native architectures, aiming to provide a forward-looking framework for resilient and accountable systems. The proposed approach integrates continuous model verification, alignment assurance with transparency tooling, lifecycle-integrated security validation, and autonomous red-teaming to proactively identify and mitigate vulnerabilities. Key findings indicate that embedding self-assessing mechanisms, standardizing behavioral benchmarks, and applying cross-layer defenses significantly enhance system resilience and reduce dependency on reactive interventions. This research contributes a structured methodology for securing autonomous AI, advancing both practical and theoretical understanding of AI-native security in complex, adaptive environments.

DOI: http://doi.org/10.5281/zenodo.18137101

Published by: vikaspatanker

Authors: Mrs.S. Dhivya,, Kanika N, Kavipriya A, Madhumitha S, Preethi S

Abstract: This This report presents the project titled “Donar Hub,” a web-based platform developed to connect individuals in need with donors and volunteers through a structured and accessible system. The platform enables the sharing of essential resources such as food, clothes, books, and medical assistance. Users can create Request Help and Offer Help posts, which are categorized and searchable to ensure efficient matching of needs and available support. Donar Hub aims to reduce resource wastage while promoting social responsibility and community collaboration. To ensure authenticity and prevent misuse, the system incorporates Aadhaar-based identity verification for users. Requests related to medical assistance require verification of medical reports or hospital-issued documents before approval. This validation mechanism enhances trust, transparency, and security within the platform. The application is designed with intuitive forms and a user-friendly interface, making it accessible to users with varying levels of digital literacy.

Published by: vikaspatanker