Category Archives: Uncategorized

Authors: Associate Professor Vaibhav Narwade, Satyajeet Pawar, Vaishnavi Hendge, Vijaykumar Kale, Mahesh Thakare

Abstract: The chocolate is most loving food of children where as the medicine is the hating substance. So, objective of this study was to formulate the chocolate that contain drug i.e., medicated chocolate to prevent the disease. In children cough, viral infection is most common diseases. Dark chocolate gets popularity for several decades due to its enormous health benefits. Dark chocolate is considered a functional food due to its anti-diabetic, anti-inflammatory, and anti-microbial properties. It also has a well-established role in weight management and the alteration of a lipid profile to a healthy direction. Multivitamins are used to provide vitamins that are not taken in through the diet.Multivitamins are also used to treat vitamin deficiencies (lack of vitamins) caused by illness, pregnancy, poor nutrition, digestive disorders, and many other conditions. Antioxidant-the word itself is magic. Using the antioxidant concept as a spearhead in proposed mechanisms for staving off so-called "free-radical" reactions, the rush is on to mine claims for the latest and most effective combination of free-radical scavenging compounds. We must acknowledge that such "radicals" have definitively been shown to damage all biochemical components such as DNA/RNA, carbohydrates, unsaturated lipids, proteins, and micronutrientssuch as carotenoids (alpha and beta carotene, lycopene), vitamins A, B6, B12, and folate. Defense strategies against such aggressive radical species include enzymes, antioxidants that occur naturally in the body (glutathione, uric acid, ubiquinol-10, and others) and radicalscavenging nutrients, such as vitamins A, C, and E, and carotenoids.

DOI: http://doi.org/

Published by: vikaspatanker

Authors: Dr Vinit Kumar Sharma, Muskan

Abstract: The rapid growth of the tourism industry has increased the need for efficient travel package design that minimizes operational expenses while maintaining customer satisfaction. Travel agencies and tour operators frequently face challenges in selecting transportation modes, accommodation facilities, sightseeing locations, and scheduling activities within a limited budget. This study proposes a cost minimization model for designing an optimal travel package using Operations Research techniques. A linear programming framework is developed to determine the best combination of travel services while satisfying constraints related to budget, travel time, accommodation capacity, tourist preferences, and resource availability. The proposed model integrates transportation costs, lodging expenses, meal charges, and attraction fees into a unified optimization framework. Numerical experiments demonstrate that the model significantly reduces total travel expenditure compared with traditional package planning methods. The study contributes to tourism operations management by providing a scientific decision-support tool capable of assisting travel agencies in creating economically efficient travel itineraries. The findings indicate that optimization techniques can improve profitability, enhance resource utilization, and increase customer satisfaction through systematic travel planning.

DOI: http://doi.org/10.5281/zenodo.20524183

Published by: vikaspatanker

Authors: Nikhil Bhamare, Piyush Takalkar, Sujit Sherkar, Ms. Rajashri Malage

Abstract: The exponential growth of the Android ecosystem has been accompanied by a surge in sophisticated mobile mal-ware. Traditional signature-based detection mechanisms struggle to keep pace with these evasive threats, necessitating more adaptive and intelligent defense strategies. In this paper, we present a novel hierarchical ensemble Convolutional Neural Network (CNN) framework designed for robust Android malware detection. By transforming APK bytecode into grayscale images, our approach bypasses conventional manual feature engineering and leverages spatial pattern recognition. The proposed archi-tecture integrates three distinct deep learning models—ResNet50, DenseNet121, and VGG16—to extract diverse and comprehensive feature representations. The framework operates in two stages: initially classifying applications as benign or malicious, and subsequently categorizing the malicious samples into 25 distinct malware families. Experimental evaluations demonstrate that our ensemble approach achieves a high accuracy of 89.15%, out-performing individual CNN baselines. Furthermore, this image-based learning paradigm proves highly resilient to common structural obfuscation techniques utilized by modern Android malware.

DOI: http://doi.org/

Published by: vikaspatanker

Authors: Vijaykumar Kale, Sumit Tamhankar, Shubham Chavan, Mahesh Thakare, Assistant Professor Vaibhav Narwade

Abstract: Inflammation is a natural protective response of the body against harmful stimuli such as infection, injury, toxins, and tissue damage. Although it plays an important role in healing and defense mechanisms, prolonged or chronic inflammation may lead to severe tissue damage and various disease conditions. Conventional anti-inflammatory drugs such as NSAIDs and corticosteroids are widely used for the management of inflammation; however, their long-term use is associated with several adverse effects including gastric irritation, renal toxicity, and cardiovascular complications. Due to these limitations, there is an increasing demand for safe, effective, and natural alternatives in the form of herbal formulations. The present study focuses on the formulation and evaluation of a herbal anti-inflammatory oil using Annona reticulata leaves extract along with turmeric, ginger, sesame oil, eucalyptus oil, mentha piperita oil, and vitamin E. Annona reticulata is rich in bioactive phytoconstituents such as flavonoids, alkaloids, tannins, and phenolic compounds which contribute to its anti-inflammatory and antioxidant activities. Turmeric provides curcumin, while ginger contains gingerols and shogaols, both of which are known for their strong anti-inflammatory properties. The essential oils included in the formulation enhance skin penetration, provide soothing effects, and improve overall therapeutic action. The formulated herbal oil was evaluated for various physicochemical parameters such as appearance, odor, pH, viscosity, spreadability, homogeneity, skin irritation, and stability. The results indicated that the formulation was stable, safe for topical application, and showed satisfactory characteristics. The synergistic effect of all herbal ingredients may contribute to effective reduction of inflammation with minimal side effects. Hence, the developed herbal oil formulation can be considered a promising, safe, and economical alternative for the management of inflammatory conditions.{1}

Published by: vikaspatanker

Authors: Aditya Menasagi, Basavaraj Sali, Shridhar Kotrashetra, Veerendragowda Patil, B.H.Vadavadagi, H.V.Bhujle

Abstract: The current trend shows a significant increase in the application and use of sheet metal in manufacturing processes. Stainless steels are selected for dairy applications because they are resistant to corrosion, inert, easily cleaned and sterilized without loss of properties, and can be fabricated by a variety of techniques into robust structures. For this study, Austenitic Stainless Steel (ASS) 304material was selected and cut into circular shapes of varying diameters but with thickness of 1mm and 0.8mm. These circular cut materials are referred to as blanks. Before testing,a lubricant(grease)is applied to the blanks.The blanks are then subjected to as with cup drawing test using a hydraulic deep drawing press to determine the limitingdrawingratio(LDR). During the deep drawing process, the cup is formed by the punch force. At a certain blank diameter, the bottom of the cup may fracture due to the punch force. The diameter of the blank just before the fracture occurs represents the maximum. diameter of the blank.The addition of lubricant helps to analyze the impact of friction between the blank and the punch during the deep drawing process. The drawability of sheet metals is measured in terms of the LDR, which indicates the maximum deformation a cup can undergo without failure using a hydraulic press. The LDR is defined as the ratio of the maximum diameter of the blank to the diameter of the punch. Experiments were conducted on ASS 304 sheets using a hydraulic press deep drawing setup, and load-element were generated. The LDR value for 304 sheets was determined.

DOI: https://doi.org/10.5281/zenodo.20522797

Published by: vikaspatanker

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.

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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.

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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

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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