Daily Archives: April 4, 2026

Authors: Samuel N Nimaful, Augustine Hanyabui, Joel Holison, Faith Esther Holison, Laureta Tatenda Nyamsutswa, Gloria O. Darkoh

Abstract: Older buildings constitute the vast majority of the world’s building stock and typically have poor energy performance. With an estimated 75% of 2050 buildings already in existence today[1], deep energy retrofits are critical to reducing carbon emissions and energy costs. Retrofit strategies must begin with a comprehensive audit to identify inefficiencies such as poor insulation, air infiltration, outdated HVAC systems, and inefficient lighting or controls. Common retrofit measures include upgrading the building envelope (insulation, windows, sealing), modernizing HVAC and ventilation, installing efficient lighting and controls, and adding on-site renewables like solar PV[2][3]. Cost-benefit and life-cycle analyses are essential to evaluate each measure’s payback period and savings. For instance, New York State’s Buildings of Excellence program found that passive-house envelope retrofits can reduce site EUI by ~62% with paybacks of ~5.5 years (with incentives)[4]. However, achieving deep savings often requires integrated packages; one Swedish case achieved 53% energy demand reduction by combining wall insulation, high-performance glazing, and heat-recovery ventilation[5]. Global case studies demonstrate success across building types and climates. For example, 345 Hudson (a high-rise office in NYC) will use a novel “thermal network” to share waste heat between floors, targeting >50% energy reduction and 85% carbon reduction[6]. In New York City, recladding the Manhattan West office tower with a self-shading high-performance facade and upgrading its HVAC yielded substantial cooling load reductions while allowing continued partial occupancy[7][8]. Meanwhile, multifamily housing projects (e.g. NYSERDA’s Buildings of Excellence) have demonstrated average EUI drops of ~62% by applying Passive-House-style envelopes, ductless heat pumps, and energy-recovery ventilation[9][4].

DOI: https://doi.org/10.5281/zenodo.19413993

 

Published by: vikaspatanker

Authors: Priya Gupta, Uttam Kumar, Vansh Tyagi, Ankur Kaushik

Abstract: Agriculture faces challenges including unpredictable weather, plant diseases and their treatment, soil classification with crop recommendation and limited agricultural expertise access. GenZ AgriTech addresses these through an integrated AI platform leveraging machine learning and deep learning. The system includes seven core modules: weather forecasting, plant disease detection (99.17% accuracy), soil type classification(99.63% accuracy), AI chatbot support, government scheme information portal, crop recommendation, and yield prediction — all delivered through a user-friendly frontend with advanced visualizations. This platform implements a comprehensive web-based agricultural assistance system utilizing artificial intelligence and machine learning technologies to support Indian farmers. By integrating multiple AI-powered services, it provides intelligent decision-making tools for sustainable agriculture, contributing to food security and farmer empowerment across the nation.

Published by: vikaspatanker

Authors: Dr. Amit Kumar Awasthi

Abstract: Fluoride in drinking water presents a paradoxical public health challenge; while essential in trace amounts for dental health, its excessive intake leads to debilitating fluorosis. A selected study region in the Gangetic plain of northern India, situated within the fluoride-endemic alluvial belt and host to significant industrial activity, is a critical area for investigating this geogenic and anthropogenic contaminant. This comprehensive review paper synthesizes existing data and hypotheses to assess the extent and sources of fluoride contamination in the region's drinking water, evaluate its health impacts on the local population, and propose integrated mitigation strategies. Analysis suggests widespread contamination exceeding the WHO (1.5 mg/L) and BIS (1.0 mg/L) permissible limits in groundwater, particularly in deeper aquifers. The primary source is geogenic, attributed to the dissolution of fluoride-bearing minerals (e.g., fluorite, apatite) in the subsurface geology under alkaline, high-bicarbonate, and low-calcium conditions. Anthropogenic contributions from local industrial clusters, especially leather tanneries and chemical units, may exacerbate the problem. The health impacts are severe and visible, with high prevalence rates of dental fluorosis among children and adolescents, and advanced cases of skeletal fluorosis leading to pain, stiffness, and crippling deformities in adults. Non-skeletal manifestations, including gastrointestinal, neurological, and endocrine disruptions, are also indicated. The review concludes that fluoride contamination is a silent, chronic public health emergency in the study region, disproportionately affecting rural and socio-economically disadvantaged communities reliant on untreated groundwater. Urgent, coordinated action encompassing alternative water sourcing, defluoridation technology deployment, robust monitoring, intensive public health campaigns, and supportive healthcare is recommended. This paper underscores the necessity of a "One Health" approach, integrating hydrogeology, public health, and social policy to address this multifaceted crisis.

DOI: https://doi.org/10.5281/zenodo.19413616

 

Published by: vikaspatanker

Authors: Nimsha A, Dr Vandana yadav

Abstract: The invasion of cancer is a complicated biological process that is regulated by the interactions between different types of cells and the microenvironment of the tumor. Traditional models of local diffusion sometimes fail to account for long-range cell migration and nonlocal interactions, both of which play an important part in the evolution of tumors because of their importance. As part of this research, nonlocal diffusion models are developed and analyzed in order to provide a description of cancer cell invasion. These models incorporate integral operators in order to reflect spatially extended interactions between cells and the extracellular matrix. In this study, we evaluate the effect of nonlocal diffusion factors on tumor spread patterns by employing mathematical analytic techniques such as stability, well-posedness, and numerical simulations. In addition to providing a greater understanding of the dynamics of cancer progression, the findings reveal that nonlocal impacts have the potential to drastically affect invasion speed, morphology, and the establishment of diverse tumor fronts. In light of these discoveries, the potential of nonlocal mathematical models as predictive tools for understanding and managing cancer invasion has been brought to light. This lays the groundwork for more precise therapeutic tactics.

Published by: vikaspatanker

Authors: Prof. Maske.P.P, Aditya Tangade, Sanskar Mulik, Rushabh Pachpute, Darpan Rathod

Abstract: AgriMart – Smart Agricultural Marketplace Mobile Application is an Android-based digital platform developed to simplify the process of purchasing agricultural products for farmers and agricultural buyers. The application provides a centralized mobile marketplace where users can easily browse a wide range of farming supplies such as seeds, fertilizers, pesticides, and agricultural equipment. The primary objective of the system is to reduce dependency on traditional purchasing methods and improve accessibility to essential agricultural resources through a user-friendly digital interface. The application addresses common challenges faced by farmers, including lack of transparent pricing, limited product availability in local markets, and difficulty in comparing products from multiple suppliers. By integrating modern mobile technologies and cloud-based database services, the system enables real-time product updates, efficient cart management, and secure order placement. The inclusion of multilingual support and simplified navigation ensures that users from rural and semi-urban backgrounds can easily interact with the application. AgriMart is developed using Android Studio and Java for application logic, Firebase Realtime Database for data storage and management, and Razorpay payment gateway for secure digital transactions. These technologies ensure system reliability, scalability, and smooth performance during real-time usage. The application also includes administrative functionalities that allow product management, order monitoring, and marketplace analytics. Overall, the AgriMart application contributes to the digital transformation of agricultural commerce by providing a convenient, transparent, and efficient platform for farmers to access agricultural products. The system aims to improve purchasing efficiency, save valuable time, and promote the adoption of modern digital solutions in the agricultural sector.

DOI:

 

 

Published by: vikaspatanker

Authors: Mayuresh Shastri, Prathamesh Jawalkar, Tanaya Inpure, Shrushti Rakh, Priti Borate

Abstract: Artificial Intelligence (AI) is transforming the field of architecture by enhancing design processes, improving efficiency, and enabling data-driven decision-making. This project explores the integration of AI technologies in architectural practices, focusing on their applications in design generation, building performance analysis, and construction management. AI-powered tools can analyze large datasets, optimize spatial planning, and generate innovative design solutions that respond to environmental, social, and functional requirements. The study highlights how machine learning algorithms and generative design techniques assist architects in creating sustainable and energy-efficient structures. Additionally, AI enables predictive analysis for structural safety, cost estimation, and maintenance planning, reducing risks and improving project outcomes. The project also examines real-world case studies where AI has been successfully implemented in architectural projects. Despite its advantages, the adoption of AI in architecture presents challenges such as ethical concerns, data dependency, and the need for skilled professionals. This research aims to provide a comprehensive understanding of AI’s potential and limitations, emphasizing its role as a collaborative tool rather than a replacement for human creativity. Overall, the integration of AI in architecture represents a significant shift towards smarter, more adaptive, and sustainable built environments.

Published by: vikaspatanker