Category Archives: Uncategorized

Authors: P. Kothari

Abstract: The challenge of managing wounds after surgery, especially following tumour removal, remains a key issue in clinical practice. This requires materials that can control the growth of remaining cancer cells while also encouraging the quick healing of soft tissues. In this study, we present the creation and testing of a new type of bioactive glass (BG) that includes Gallium (Ga) and Copper (Cu). This material is designed to help with wound healing. The base of this glass is made from a mixture of silicon dioxide, calcium oxide, sodium oxide, and phosphorus pentoxide. It was modified with varying amounts of gallium oxide and copper oxide (1–3 mol%) using a sol-gel method. The structure and properties of this glass were studied using X-ray Diffraction (XRD), Fourier Transform Infrared (FTIR) spectroscopy, and UV-Vis-NIR spectroscopy to understand its network structure and optical behaviour. In vitro tests showed that this glass can form a layer of hydroxyapatite in simulated body fluid, indicating its bioactivity. Biological tests revealed that the Ga-doped glasses significantly reduced the survival of cancer cells, while the Cu-doped versions encouraged the growth of skin cells and promoted blood vessel formation. These results suggest that Ga and Cu co-doped BGs are a promising material for treating wounds in cancer patients.

DOI: http://doi.org/

Published by: vikaspatanker

Authors: Assistant Professor Dr. Madhuvanthani R, Dr. Sundar G, Abirami M, Akhila R, Madhumithra M, Vedhavarshini N

Abstract: Ensuring continuous health monitoring and child safety has become an important concern in modern society. Traditional monitoring methods do not provide real-time health updates or emergency alerts. To overcome these limitations, this project proposes the design and implementation of an IoT-enabled smart wearable device for continuous health monitoring and emergency notification. The proposed system combines health monitoring, location tracking, and emergency communication into a compact wearable device. The system continuously monitors vital parameters such as heart rate, pulse rate, oxygen level, and body temperature using the MAX30100 pulse oximeter sensor and LM35 temperature sensor. The collected data is processed by the ESP32 microcontroller and displayed on an OLED display for local monitoring. During abnormal conditions, the GSM SIM800L module sends emergency alerts, while the GPS module provides live location details to parents or guardians for quick response and tracking. The wearable device also supports two-way communication during emergencies. A 3.7V Lithium Polymer battery, Type-C charging module, and DC-DC voltage booster ensure stable and portable operation. The proposed system offers a reliable, low-cost, and real-time solution for child health monitoring and safety management, improving parental awareness and emergency response through IoT technology.

DOI: https://doi.org/10.5281/zenodo.20510123

Published by: vikaspatanker

Authors: Dheeraj Vaswani, Anushka Mane, Nikhil More, Sanjana Nitnware, Priyanka Patil, Anuradha Sangram Solanki

Abstract: Our research presents the design and im-plementation of an immersive Virtual Reality based educational system for learning about the Solar Sys-tem, enhanced with Generative Artificial Intelligence. Traditionally the spatial and dynamic relationships between celestial bodies aren’t conveyed effectively. Hence, to reduce this limitation, the system uses Unity D to create an interactive virtual reality environment where everyone can explore all celestial bodies in real time. The system also uses a Gemini Generative AI API to provide dynamic, context-aware explanations with respect to the level of knowledge of the learner. The combination of immersive visualization and adap-tive learning keeps students engaged, while making complex concepts feel natural and intuitive, rather than overwhelming. The system is also built on a scalable architecture, meaning future capabilities like performance tracking and intelligent assessments can be added without rebuilding from the ground up.

Published by: vikaspatanker

Authors: Dr. Vinit Kumar Sharma, Aanchal Gupta

Abstract: Graph theory and network analysis are closely interconnected disciplines that play a crucial role in understanding complex systems. Graph theory provides the mathematical framework for representing entities and relationships, while network analysis applies these concepts to investigate structural and functional properties of real-world networks. This paper explores the relationship between graph theory and network analysis, discusses key graph-theoretic measures, examines applications across multiple domains, and identifies emerging research directions including graph neural networks and temporal networks. The study demonstrates that graph theory serves as the theoretical backbone of network analysis and continues to drive innovations in modern data science and artificial intelligence.

DOI: http://doi.org/10.5281/zenodo.20507775

Published by: vikaspatanker

Authors: Chetan Kumar Pandey, Dr. Alakhanda Rajawat

Abstract: The integration of artificial intelligence into international commercial arbitration is an indicator of a paradigm shift that disrupts the traditional pillars of the adjudicative process. This research paper examines how AI has evolved from a non-dominant administrative tool to a so-called silent arbitrator that takes control of the substantive substance of the arbitral mandate. The introduction of automation into global commerce means that institutions, such as the International Chamber of Commerce (ICC), the Singapore International Arbitration Centre (SIAC), and the Hong Kong International Arbitration Centre (HKIAC), face the challenge of efficiency and procedural due process. A thorough examination of the 2025 International Arbitration Survey shows that there is an increase in the utilisation of AI in fact-finding and document review, and that standpoints on applying AI to the execution of judgment and discretion remain strong. This paper analyses the regulatory response, including the European Union Artificial Intelligence Act and the proliferation of light regulations issued by the Silicon Valley Arbitration and Mediation Centre (SVAMC) and the Chartered Institute of Arbitrators (CIArb). In addition, the research considers the jurisprudential consequences of AI-aided awards observed in recent cases, including LaPaglia v. Valve Corp. It suggests guidelines to a strong regulatory system that ensures human control and maintains party independence.

DOI: https://doi.org/10.5281/zenodo.20507543

Published by: vikaspatanker

Authors: Gulshama, Professor Subhashini Sharma

Abstract: This project studies in detail the harmful effects of atmospheric sulfur dioxide (SO₂) and acid rain on cement-based materials, which are widely used in construction activities such as buildings, bridges, and roads. These materials are continuously exposed to environmental conditions, especially in industrial and urban areas where pollution levels are significantly high. Among various pollutants, sulfur dioxide plays a major role in the formation of acid rain, which adversely affects the durability, strength, and overall performance of cement-based structures. The project further explains the chemical reactions involved in the formation of acid rain, where sulfur dioxide reacts with oxygen and water vapor present in the atmosphere to form sulfuric acid. This acid, when deposited on cement surfaces through rainfall, initiates a series of chemical reactions with important components of cement such as calcium hydroxide and calcium silicate compounds. These reactions lead to the formation of harmful products like gypsum and ettringite, which cause expansion, cracking, and gradual weakening of the material. In addition, this study describes the mechanism of degradation, including the penetration of acidic solutions into the pores of cement, internal stress development, and surface damage. The long-term effects include reduction in compressive strength, increased porosity, and structural instability of cement-based materials. Finally, the project also highlights various preventive measures to enhance durability, such as the use of sulfate-resistant cement, protective coatings, and control of environmental pollution. Overall, this study provides a clear understanding of the impact of acid rain on construction materials and suggests ways to improve their lifespan and performance.

DOI: https://doi.org/10.5281/zenodo.20506966

Published by: vikaspatanker

Authors: Dr Vinit Kumar Sharma, Kanika

Abstract: Diophantine equations are polynomial equations in two or more variables whose solutions are restricted to integers. These equations are named after the ancient Greek mathematician Diophantus of Alexandria, who made significant contributions to number theory through his work Arithmetica. Diophantine equations play an important role in modern mathematics, cryptography, computer science, optimization, and algebraic geometry. Although Diophantine equations are a branch of pure number theory concerned with integer solutions of equations, they have several practical applications that affect everyday human life, often indirectly through technology and optimization.

DOI: http://doi.org/10.5281/zenodo.20503729

Published by: vikaspatanker

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