Authors: Dr. Praveen B. Hulloli

Abstract: This Scientometric research study evaluates India’s research landscape in Biomedical within Science Artificial Intelligence (AI) from 2015 to 2024 (10 years). Utilizing data from the Web of Science (WoS), Analyzing a corpus of 622 publications and 10,359 citations, the research tracks the transition from a developmental phase to a high-impact era. Results from the Relative Quality Index (RQI) identify 2015, 2017, 2021, and 2022 as peak years for research excellence, while a subsequent dip in citation rates for 2023-2024 suggests challenges in sustaining global influence despite rising publication volumes. Journal productivity analysis reveals Computers in Biology and Medicine as the field leader with an h-index of 36.3. While top-tier journals maintain strong impacts, a score convergence of 18.1 among specialized outlets indicates a stabilizing, competitive ecosystem. The findings underscore the need for enhanced interdisciplinary collaboration to bridge the gap between quantitative growth and clinical utility, ensuring Indian AI research maintains consistent international academic prestige.

DOI: https://doi.org/10.5281/zenodo.20504166

Published by: vikaspatanker

Authors: Mrs.J.Jaisy

Abstract: Gas turbines are among the most important energy conversion systems used in aerospace propulsion, power generation, and industrial applications. This paper presents a comprehensive review of turbine and compressor design principles, thermodynamic operation, cooling technologies, aerodynamic instabilities, and axial compressor design methodologies. Particular emphasis is placed on compressor staging, velocity-triangle analysis, turbine cooling methods, stall mechanisms, and surge phenomena. The paper synthesizes fundamental design approaches and provides a structured framework suitable for engineering education and preliminary turbomachinery design studies.

Published by: vikaspatanker

Authors: He Weiyi, Md. Yeasin Arafat

Abstract: Artificial intelligence (AI) has become an important technology for improving customer engagement, personalized marketing, and operational efficiency in cross-border e-commerce platforms. With the rapid growth of digital commerce and online consumer activities, understanding customer purchasing behavior through AI-driven analytics has become increasingly valuable for modern business optimization. This research presents an AI-based consumer behavior analysis framework for cross-border e-commerce optimization using multiple real-world datasets, including customer demographic information, shopping behavior data, social media advertising interactions, recommendation system data, and online purchase intention records. The study applies machine learning models, including Random Forest and XGBoost, to predict customer purchase decisions and analyze factors influencing online consumer behavior. Data preprocessing, feature engineering, exploratory data analysis, and classification techniques were implemented using Python-based analytics tools. Experimental results demonstrate that AI-driven models can effectively predict purchasing behavior and identify important factors affecting customer engagement and online purchase intention. The findings indicate that customer browsing behavior, social media advertising interaction, recommendation systems, and demographic characteristics significantly influence cross-border e-commerce purchasing decisions. This research contributes to the development of intelligent digital commerce systems by integrating AI analytics, consumer behavior analysis, and recommendation-based optimization strategies. The proposed framework provides practical insights for improving customer targeting, personalized marketing, and operational performance in international e-commerce environments.

DOI: https://doi.org/10.5281/zenodo.20489885

Published by: vikaspatanker

Authors: Riya Sharma, Prof. Abha Dubey

Abstract: Industrialization has significantly contributed to economic growth and modernization, but it has also emerged as a major source of environmental degradation. Industrial activities release a wide range of pollutants, including sulfur dioxide, nitrogen oxides, particulate matter, heavy metals, toxic chemicals, industrial effluents, and greenhouse gases, which adversely affect air, water, and soil quality. These pollutants disrupt natural ecosystems, alter biogeochemical cycles, and pose serious threats to human health and biodiversity. Air pollution from industries leads to problems such as acid rain, global warming, and respiratory diseases, while untreated industrial wastewater contaminates rivers and groundwater, causing toxicity to aquatic life and scarcity of safe drinking water. Soil pollution due to industrial waste disposal reduces soil fertility, agricultural productivity, and food safety. Environmental degradation resulting from industrial pollution directly challenges the goals of sustainable development, which aims to balance economic growth with environmental protection and social well-being. This study emphasizes the urgent need for sustainable industrial practices, including the adoption of cleaner production technologies, effective waste treatment, recycling, and strict implementation of environmental regulations. Promoting environmental awareness and corporate responsibility is equally important. Addressing industrial pollution is therefore essential to minimize environmental degradation and to ensure a sustainable and healthy future for present and coming generations.

DOI: https://doi.org/10.5281/zenodo.20488155

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Published by: vikaspatanker

Authors: Shimpe Kumari, Amrita Kumari, Dr. Balwant Singh

Abstract: Plastic pollution has emerged as a significant environmental challenge affecting freshwater ecosystems globally. This study investigated the effects of plastic pollution on freshwater ecosystems by assessing microplastic contamination and selected water quality parameters across different sampling sites exposed to varying levels of anthropogenic activities. A quantitative and descriptive research design was employed to evaluate the distribution, abundance, and ecological impacts of microplastics in freshwater environments. Water, sediment, and biological samples were collected using standardized sampling and laboratory procedures to identify and quantify plastic particles. Key physicochemical parameters, including dissolved oxygen, pH, and turbidity, were also analyzed to determine the relationship between plastic pollution and water quality. The findings revealed considerable spatial variation in microplastic concentration among the sampling sites. Highly urbanized and industrialized areas recorded elevated levels of contamination, with the highest concentration observed at Site F (390 particles/L), followed by Site C (340 particles/L). Sites with increased microplastic abundance also exhibited lower dissolved oxygen levels, higher turbidity, and slight reductions in pH, indicating ecological stress and deterioration of water quality. The study further showed that microplastics persist in freshwater environments and pose serious risks to aquatic organisms through ingestion, habitat alteration, and toxic chemical transfer within aquatic food webs. The study concludes that plastic pollution significantly threatens freshwater ecosystem health and biodiversity. Effective waste management strategies, environmental regulations, and continuous monitoring programs are therefore essential to reduce plastic contamination and protect freshwater resources.

DOI: http://doi.org/10.5281/zenodo.20487718

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Authors: Ayub Khan, Pushali Trikha, Lone Seth Jahanzaib

Abstract: The paper introduces an effective way to control chaos of a fractional chaotic system in presence of uncertainties tc. Theoretical claims are verified numerically using MATLAB software.

DOI: https://doi.org/10.5281/zenodo.20487204

 

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Authors: Kanimozhi v

Abstract: Nowadays mobile phones are used by almost every student. Students use phones for online classes, chatting, social media, games, watching videos, and many other things. Mobile phones are useful in daily life, but using them too much can slowly become a bad habit. Many students spend long hours on their phones without even noticing it. Because of this, studies, sleep, health, and even relationships can get affected.This study is about mobile phone addiction among students and how it affects their daily life. It also explains some reasons behind excessive mobile phone usage and simple ways to reduce it. Even though smartphones are helpful, students should know how to use them in a balanced way

DOI: http://doi.org/

Published by: vikaspatanker

Authors: Annu Priya1,, Vijay Laxmi2,, Ujjwal Kumar3,, Amrita Kumari4,, Balwant Singh5

Abstract: The present study investigates the diversity and traditional utilization of medicinal plant species in Vaishali District, Bihar, India. Vaishali possesses a rich floristic composition supported by fertile alluvial plains, wetlands, agricultural landscapes, and rural ecosystems. Field surveys, interviews with local inhabitants, traditional healers, and ethnobotanical observations were conducted to document medicinal plant diversity and indigenous knowledge associated with their use. The study recorded a wide range of medicinal plant species belonging to different families and growth forms, including herbs, shrubs, climbers, and trees. These species are traditionally employed for the treatment of various ailments such as digestive disorders, respiratory infections, skin diseases, fever, diabetes, inflammation, and other common health conditions. The findings highlight the significant role of medicinal plants in rural healthcare systems and emphasize the importance of conserving plant biodiversity and traditional ethnomedicinal knowledge. Increasing anthropogenic pressures, habitat degradation, and loss of indigenous knowledge pose challenges to the sustainable use of these valuable biological resources. Therefore, systematic documentation, conservation strategies, and awareness programs are essential for preserving the medicinal plant wealth of Vaishali District for future generations.

DOI: https://doi.org/10.5281/zenodo.20458522

Published by: vikaspatanker

Authors: S. Rishi Karthikeya, Pavan Raj,Mrs.Radhika

Abstract: This paper examines WWI and WWII battlefield data to show data visualization techniques. Included in the data set is data about casualties, number of days for the battle, its location, and the outcome. Data visualization was constructed with Tableau to gain insights into the trends and patterns by region and time. The study noted Europe and Asia saw the heftiest losses, and that a number of "significant fights" played a major role in total losses. The analysis shows how visualization methods can aid in comprehending historical war data better.

 

 

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Authors: Souda Pranavi, Vardelli Disharani, Peddamma Stalin, P.V.R.Ravindra Reddy

Abstract: The demand for lightweight, high-strength, and corrosion-resistant structural materials has significantly increased in aerospace, automotive, marine, and civil engineering industries. Carbon–epoxy composite materials have emerged as one of the most promising alternatives to conventional metallic materials because of their superior mechanical and thermal properties . Among various structural configurations, composite I-section beams have attracted considerable attention due to their excellent bending stiffness, high strength-to-weight ratio, fatigue resistance, and structural efficiency. This review paper presents a detailed overview of carbon–epoxy composite I-section beams with emphasis on material properties, fabrication techniques, finite element analysis, experimental investigations, failure mechanisms, optimization strategies, and structural applications. The paper critically examines the influence of fiber orientation, stacking sequence, laminate thickness, curing conditions, and manufacturing defects on the structural performance of composite beams. Advanced fabrication methods such as prepreg layup, vacuum bagging, and autoclave curing are discussed in detail. Recent developments in finite element modeling for stress, strain, deflection, fatigue, and buckling analyses are also reviewed. Furthermore, various non-destructive evaluation techniques used for identifying internal defects and monitoring structural integrity are examined. The review identifies major research gaps in composite beam development and highlights future opportunities for high-performance lightweight structural systems.

DOI: https://doi.org/10.5281/zenodo.20445172

Published by: vikaspatanker