Category Archives: Uncategorized

Authors: Md Mirja Galib, Soumyadip Roy, Shilpi Pal, Payel Mondal, Sarbani Ganguly

Abstract: The rapid increase in global CO2 emissions since 1950 has led to a surge in weather- and climate-related disasters worldwide. To address this, the United Nations Framework Convention on Climate Change (UNFCCC) was established in 1992, aiming to stabilize greenhouse gas (GHG) emissions. The Kyoto Protocol introduced the Clean Development Mechanism (CDM), incentivizing both developed and developing nations to reduce emissions. Through the trading of carbon credits, CDM projects aim to mitigate climate change while fostering sustainable development. However, despite its goals, Asia and the Pacific regions dominate CDM projects, with limited participation from Africa. India's success in CDM projects fluctuated over time, with challenges persisting due to the CDM system's crisis. Despite uncertainties surrounding its future, the CDM's legacy in promoting emissions reductions and sustainable development remains significant. Transitioning to the Sustainable Development Mechanism (SDM) under the Paris Agreement poses challenges and opportunities for international climate cooperation and sustainable development efforts, particularly for countries like India

 

 

Published by: vikaspatanker

Authors: Vriddhi Shah

Abstract: Genetic research has revolutionized our understanding of diseases, revealing strong hereditary components in conditions such as cancer, diabetes, and autoimmune diseases. While environmental factors also contribute, genetic mutations play a crucial role in disease susceptibility. This paper explores the genetic basis of these diseases, highlighting specific genes, inheritance patterns, and statistical insights. Recent advancements in genome-wide association studies (GWAS) and precision medicine are also discussed.

DOI: http://doi.org/10.5281/zenodo.15689196

Published by: vikaspatanker

Authors: Md Mirja Galib, Soumya Kanti Roy, Sarbani Ganguly, Payel Mondal, Rupa Bhattacharyya

 

Abstract: The Electric vehicles (EVs) represent a promising solution to lighten environmental challenges associated with traditional internal combustion engine vehicles (ICEVs). This abstract examines the environmental impact of EVs, focusing on key factors such as greenhouse gas emissions, resource extraction and production, battery recycling and disposal, energy efficiency, infrastructure development, and lifecycle analysis. While EVs produce zero tailpipe emissions and can significantly reduce greenhouse gas emissions, their environmental benefits depend on factors such as the energy source for electricity generation. Additionally, the extraction of materials for EV batteries and the challenges of battery recycling and disposal poses environmental concerns that require attention. The location of a charging station can also affect its carbon footprint. If a charging station is located in an area with high traffic obstruction, the carbon footprint of charging an EV may be higher due to increase idling and emissions from other vehicles. EV production will have external costs of emissions extra, around Rp. 2.23 trillion, or an increasing about 0.6%. Based upon these findings, it is concluded that electric vehicle production increases productivity, gross value-added, and job creation with a corresponding to the small impact on the environment. Despite these challenges, EVs illustrate higher energy efficiency and offer potential prolong benefits in reducing dependence on fossil fuels. Comprehensive lifecycle evaluation is necessary for understanding the overall environmental impact of EVs compared to ICEVs. Continued development in technology, policy support, and infrastructure improvement are crucial for maximizing the environmental benefits of EVs and promoting sustainable transportation.

DOI: https://doi.org/10.5281/zenodo.15689367

 

Published by: vikaspatanker

Authors: Subhranil Sarkar, Sayna Datta, Assistant Professor Aparajita Paul, Assistant Professor Pallav Dutta, Rupa Bhattacharyya

Abstract: Environmental tipping points represent critical thresholds within ecological and climate systems, beyond which significant and often irreversible changes occur. Driven largely by human activities such as deforestation, fossil fuel combustion, pollution, and overexploitation of natural resources, these tipping points threaten the stability of the Earth's life-support systems. Key examples include the collapse of coral reef ecosystems, the thawing of permafrost, and disruptions to major oceanic and atmospheric circulation patterns. These shifts are often accelerated by positive feedback loops, making them difficult to reverse once triggered. This paper explores the mechanisms behind environmental tipping points, identifies major systems at risk, and examines the profound ecological, social, and economic consequences of crossing these thresholds. It also highlights the urgent need for integrated, science-based sustainability strategies aimed at mitigating human impacts and building resilience within natural systems. Preventing the crossing of critical tipping points is not only an ecological imperative but also a central challenge for the future of humanity.

DOI: https://doi.org/10.5281/zenodo.15688670

Published by: vikaspatanker

Authors: Priyanka A Giramkar, Dr. Quazi khabeer

Abstract: The rise of fake insights (AI) presents transformative openings within the space of career services, especially in continue building, a basic component for job searchers pointing to distinguish themselves in an progressively competitive scene.This inquire about investigates the development of an AIbased resume builder planned to help clients in making highly customized, proficient resumes that adjust precisely with industry measures and job-specific requirements By coordination normal dialect processing(NLP), machine learning, the framework analyzes work depictions to distinguish significant catchphrases, skillsets, and role specific necessities. It at that point appliesthis investigation to prescribe important substance, improve phrasing, and organize the continue in a way that maximizes both significance and lucidness for human recruiters and candidate following frameworks (ATS). Furthermore,the framework powerfully adjusts resumes to reflect users' advancing career encounters, optimizing sections such as accomplishments, abilities, and proficient summaries for focused on parts. Moreover, the framework powerfully adjusts resumes to reflect users' advancing career encounters, optimizing sections such as accomplishments, abilities, and proficient summaries for focused on parts. Through broad testing and data-driven refinement, this AI-powered resume builder illustrates the potential to streamline the work application prepare, upgrade candidate perceivability, and altogether increment the likelihood of securing interviews. This investigate contributes to the field by displaying how AI can reshape cont

Published by: vikaspatanker

Authors: Lokesh kumar, Assistant Professor Mr. Sunil kaushik, Dr. Rajendra Khatana

Abstract: Artificial Intelligence (AI) is transforming the educational landscape by personalizing learning experiences, automating administrative tasks, and enabling intelligent tutoring systems. As digital learning environments grow, AI has become a critical component in shaping the future of education. This paper explores the current applications of AI in educational systems, emerging innovations, and the potential for ethical dilemmas and systemic inequities. It highlights how AI can serve as both a catalyst for inclusive learning and a challenge if not implemented responsibly. The goal is to ensure AI-driven education is equitable, transparent, and human-centered—requiring collaboration between educators, policymakers, and technology developers.

Published by: vikaspatanker

Authors: S. Sathish Kumar, S. Venkata Ruthwik, M. Rohith Kumar, Professor Dr Yagya Dutta Dwivedi

Abstract: This project investigates the aerodynamic performance of the Ahmed body with 35⁰, a well-known geometric model for studying vehicle aerodynamics, particularly at varying slant angles. This study focuses on the effects of various aerodynamic add-ons, including vortex generators, custom-generated striped vortex generators on the rear end, side vanes and base flaps on the drag and lift characteristics of the Ahmed body. Computational fluid dynamics (CFD) simulations are employed to analyze the airflow around the model under different configurations. Designed in Catia V5, the geometry is modeled and meshed in Ansys Workbench and Simulation is performed in Fluent. The mesh parameters are taken from [6],;initially, the results of the Ahmed Body were obtained for Cd-0.285 which are quite close to those value mentioned 0.289.Later grid independence was performed for better accuracy, and later add-ons were added and tested. The results indicated an overall drag reduction of approximately 12% from that of the Ahmed Body without any add-ons. This resulted in the power consumption of 175 W of energy.

DOI: https://doi.org/10.5281/zenodo.15687640

Published by: vikaspatanker

Authors: Ranjana Gurung, Manjesh Tamang, Sneha Tamang, Basanta Subba, Jabez Chettri, Sisir Chettri

 

 

Abstract: The primary aim of this project is to develop a model for an efficient, sustainable process for generating electricity by trash in an eco friendly manner. By burning trash into a renewable energy source, this project seeks to address both waste management challenges and demand for clean energy, contributing to environmental conservation and sustainable urban development. The efficiently converts 12V DC to 117 – 220V AC using an inverter, enabling household or small industrial usage. The results demonstrates the potential for waste to energy systems in reducing land fill burden while supplying clean energyA big amount of wastage was generated and their possible harmful outcome in the environment and in human health, where it will cause of number of diseases in human bodies.[1] Therefore, we may implements this process for safe disposal of garbages. This is an innovative concept to produce electricity by utilizing wastages, which resulted in waste material reduction and generation electricity for local use.

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Jeevanantham D, Associate Professor Dr.S.Kapilan

Abstract: In many rural regions of India, low-level causeways serve as critical links between villages but often become unusable during monsoon seasons, leading to disruptions in connectivity, economic loss, and safety hazards. This study presents a techno-economic feasibility analysis focused on converting the existing causeway at Servaikaranpalayam village into a high-level bridge. The research emphasizes the real-life challenges faced by local residents due to traffic congestion, seasonal flooding, and inadequate infrastructure. Through a detailed case study, the project evaluates the design considerations specific to rural needs, including cost-effective materials, hydrological conditions, and traffic volume analysis. The proposed bridge is designed following relevant IRC and IS codes to ensure durability, flood resilience, and minimal maintenance. In addition to addressing transportation bottlenecks, the study highlights how improved connectivity fosters local economic growth, access to services, and enhanced quality of life. The findings demonstrate that a high-level bridge not only offers technical viability but also provides long-term socio-economic benefits for rural development.

Published by: vikaspatanker

Authors: L. Rahul Chandra, Kekkarla Madhu, V. Shirisha, Atla Sonya

 

 

Abstract: The future of loan approvals is increasingly driven by Artificial Intelligence (AI), offering faster and data-informed decisions. However, traditional machine learning (ML) models often lack transparency, making them unsuitable for high-stakes financial decisions. This paper presents an Explainable AI (XAI) framework based on a Belief Rule Base (BRB) to automate and enhance the loan underwriting process. The BRB model combines expert knowledge with supervised learning and supports both factual and heuristic rules within a hierarchical structure. The system provides clear, interpretable explanations by highlighting activated rules and the influence of input attributes, ensuring transparency and regulatory compliance. A case study on mortgage underwriting demonstrates the model’s ability to balance accuracy with explainability, outperforming conventional black-box approaches in trust and interpretability. This work underscores the potential of XAI to shape a fairer, more transparent future for automated loan approvals.

DOI: http://doi.org/

 

 

Published by: vikaspatanker