Volume-11, Issue-1

January-February, 2025

Research Paper

1. Augmented Reality in Education

By integrating digital, interactive content with conventional learning environments, this project explores the potential of Augmented Reality (AR) to improve educational experiences. Using 3D models and real-time animations, AR helps students visualize complex ideas, such as Biology models, Zoology models, Computer Science model and Planetary System models. Making abstract concepts more approachable and engaging. Our implementation creates a flexible learning tool that can be applied across a variety of subjects and educational levels by utilizing AR-compatible platforms, such as Unity and Vuforia. By providing an immersive and memorable learning environment, this approach aims to increase student engagement and enhance comprehension.

Published by: Krishna Santosh Kabra, Harshal Navnath Mane, Ankush Dnyandeo Falke, Sai Abhimanyu Daitkar, Prof. Smruti Saphalika BarikResearch Area: Engineering

Organisation: JSPM’s Bhivarabai Sawant Institute of Research and Technology, Wagholi, PuneKeywords: Augmented Reality, Engineering, AR, VR, Education

Research Paper

2. The Impact of HMPV on the Real Estate Sector in Maharashtra: Insights from Historical Precedents

The real estate sector in Maharashtra is a cornerstone of economic activity, encompassing residential, commercial, and industrial developments. However, the emergence of high-magnitude public vulnerabilities (HMPVs), such as pandemics, natural disasters, or economic recessions, poses significant challenges to this sector. This research paper explores the potential impact of HMPVs on Maharashtra’s real estate market, drawing parallels with historical events such as the COVID-19 pandemic, the 2008 global financial crisis, and natural disasters like the 2005 Mumbai floods. The paper aims to provide a comprehensive understanding of the challenges posed by HMPVs and recommend strategies for resilience and recovery.

Published by: Shubham Devidas KulkarniResearch Area: Civil Engineer

Organisation: Canon Designs, NashikKeywords: HMPV, Real Estate, Maharashtra

Research Paper

3. Harnessing Inception V3 for Enhanced Breast Cancer Detection via Deep Learning

This research aims to develop an optimized deep-learning model capable of detecting breast cancer from medical images, which could be mammograms or histopathological slides. Breast cancer is one of the leading causes of cancer deaths in the world, making breast cancer detection extremely important for enhancing survival rates, when detected early. The traditional breast cancer detection process relies on a medical professional putting their eyes on a medical image, which is typically an inefficient process and disposed to human error. As deep learning and machine learning become more ubiquitous, particularly Convolutional Neural Networks (CNNs), they have opened ways for automation and improved accuracy in breast cancer detection. This project will use the Inception V3 model, which is an established CNN architecture, to develop a reliable breast cancer detection system that classifies images of breast images as benign or malignant. Karri Swathi Dept. of Computer Science and Engineering Institute of Aeronautical Engineering Dundigal, Hyderabad, India [email protected] Godishala Sreenidhi Dept. of Computer Science and Engineering Institute of Aeronautical Engineering Dundigal, Hyderabad, India [email protected] likelihood of positive patient outcomes in response to early diagnosis. Further machine or deep learning implementation appears to be a favorable alternative to traditional and time-antique diagnostic and medical behavioral methods. Opportunities for further project improvements can continue evolving, thus incorporating deploying the target theology into increased images per class, utilizing ensemble methods, or deploying into clinical behavioral context and evidentiary articulation after image literature review Keywords— Breast cancer classification, Inception v3 Convolutional Neural Network (CNN). I. INTRODUCTION The theme of this project is to cultivate a deep learning model using the Inception V3 architecture to reliably detect breast cancer from medical images. This involved objectives such as optimizing the input image pre-processing, training the Inception V3 model using a labeled breast cancer image dataset, and then evaluating the performance of the model using standards from accuracy, precision, recall, F1 Score, and AUC, comparison of model results with existing methods

Published by: Godishala Sreenidhi, K.Swathi, M.Dhanalakshmi, C. Praveen KumarResearch Area: Deep Learning

Organisation: Institute of Aeronautical EngineeringKeywords: Breast Cancer Classification, Inception V3 Convolutional Neural Network (CNN).

Research Paper

4. Whether Apostasy to Islamism is a Violation of the Fundamental Right of the Partner

This paper discusses the question commonly raised if the husband converts his religion to Islamism with the intention of having multiple wives although according to the Indian Constitution, a person has the right to convert to any religion any number of times as per his desire. If such an act is done by the husband will the fundamental rights of the wife? As per the provisions of the Hindu Marriage Act, 1955 such conversions by the husband will be a violation of the fundamental rights of the wife as it was her right to be the only partner for her spouse

Published by: Tvisha GResearch Area: Family Law

Organisation: SASTRA Deemed University, Thirumalaisamudram, Tamil NaduKeywords: Apostasy, Islamism, Fundamental Rights, Violation, Spouse Rights

Research Paper

5. The Birth of Hip-Hop

This research paper is a detailed history of the origins of hip-hop and its 4 main elements which include, Graffiti, MCing, Break Dancing, and DJing. It talks about some of the issues that came with Hip-Hop culture and consists of a timeline of some of the biggest milestones in the history of Hip-Hop. There are a variety of pioneering artists that are talked about in this research paper with some being the fathers of hip-hop! Motivations and the environment of these artists are discussed with information on what it was like on the violent streets of the Bronx, New York. So let’s dive into this complex yet interesting world of Hip-Hop and how the worldwide phenomenon started in the first place.

Published by: Krishiv AroraResearch Area: Culture

Organisation: Saint andrews International SchoolKeywords: Hip-Hop, Graffiti, DJing, MCing, Rapping, Break dancing, B-Boying

Review Paper

6. COVID-19 Pandemic: A Review Article

COVID-19 is a new coronavirus disease that could endanger millions of lives globally. Recent months have seen a significant amount of knowledge generation, which calls for a careful examination to pinpoint research gaps and help set an agenda for additional studies. Investigating current research areas and their variations concerning income levels and COVID-19 transmission characteristics is the aim of this study. Introduction, history, pathophysiology, coronavirus, kinds, symptoms, causes, spread, transmission, diagnosis, prevention, therapy, and management of COVID-19 infection are the main topics of this review.

Published by: Ram Anil Chaudhari, Pradnya Anil Deore, Dr. Rajendra K SurawaseResearch Area: Pharmaceutics

Organisation: Loknete Dr. J. D. Pawar College of Pharmacy Manur, Kalwan, MaharashtraKeywords: COVID-19, SARS-CoV, Pandemic

Review Paper

7. Tamarind Seed Polysaccharide: A Novel Pharmaceutical Excipient with Promising Application

Numerous plant polysaccharides are presently being investigated for their wide-ranging applications as excipients, These diverse functions make tamarind seed powder a valuable ingredient in various pharmaceutical dosage forms, The use of natural excipients for the delivery of bioactive agents has faced challenges due to the prevalence of synthetic materials, but natural excipients offer significant benefits, including non-toxicity, cost-effectiveness, and widespread availability. This chapter provides an in-depth and valuable discussion of the pharmaceutical applications of tamarind seed polysaccharides, highlighting key aspects such as their source, isolation methods, chemical composition, and properties. Notably, tamarind seed polysaccharide is becoming recognized as a promising excipient.

Published by: Vikas Dattatrey Narude, Kunal Dilip Nikam, Jayashree Sambhaji Bhadane, Dr. Kishor Arvind KothawadeResearch Area: Pharmaceutics

Organisation: Savitribai Phule Pune University, Pune, MaharashtraKeywords: Numerous Polysaccharides, Tamarind Seed, Natural Excipients, Widespread Availability

Research Paper

8. GST System in India – A Look through the Lens of Fiscal Autonomy and Federalism

This paper combines two important and non-separable fields of discourse: political science and taxation. This paper attempts to examine the GST Council and the overall GST system, introduce them, and analyze them from the viewpoint of fiscal autonomy of the states and federalism. There have been allegations that the GST system is against the federal structure and that it largely undermines the fiscal autonomy of the states. This paper will analyze the system keeping in mind the various allegations and discuss the various issues with the system. This paper also attempts to advocate against the current hatred towards the system and suggests some reforms to tackle the current issues and improve the system. The GST system was a much-needed and ambitious reform, which was the need of the hour, and the hostility and discontent of the states due to them losing their uncanny and uncontrolled fiscal power that they had in the erstwhile system, is precisely what this paper advocates against. This paper tries to bring out how instead of hampering the federal structure, the GST system has provided a platform for the center and the states to come together, thereby strengthening cooperative federalism.

Published by: Aaditya AgrawalResearch Area: Pol Science And Tax

Organisation: Jindal Global Law School, Sonipat, HaryanaKeywords: GST Council, Cooperative Federalism, Fiscal Autonomy, GST, Goods and Service Tax

Case Study

9. Stress Detection with Wearable Sensors

Stress has a significant impact on both physical and mental health. The creation of systems for ongoing stress monitoring has been made easier by developments in wearable sensors and machine learning models. This study examines several studies on stress detection with wearable sensors and machine learning methods. The integration of these technologies aims to provide real-time stress detection systems for healthcare, workplace wellness, and personal care. This survey compares methodologies, sensor types, machine learning models, and the effectiveness of stress detection systems from multiple studies. Furthermore, we introduce a novel system based on Convolutional Neural Networks (CNNs) using physiological data from wearable sensors to detect stress in real-time.

Published by: Vaibhav Patil, Dewansh Pillare, Yash Suryawanshi, Ashfaq Shaikh, Monali P. DeshmukhResearch Area: IOT And DL

Organisation: International Institute of Information Technology, PuneKeywords: CNN, Stress Detection, Wearable Sensors, Physical Health

Research Paper

10. Portrayal of Women in News and Photos in Tanzania Print Media. A Case of Uhuru Jumamosi, Daily News and Habari Leo Newspaper

This study investigates the portrayal of women in Tanzanian print media, focusing on Uhuru Jumamosi, Daily News, and Habari Leo newspapers. It is a significant study for diverse groups including women, media owners, policymakers, and academicians. It was limited to only three newspapers such as Uhuru Jumamosi, Habari Leo, and Daily News. The study employed two theories; Stereotype Theory and Media Representation Theory which altogether framed this study. The study reviewed various literature and empirical studies to identify existing gaps. This study used a mixed-method approach as it applied both qualitative and quantitative methods at some point. Content analysis was used both as a data collection method and analysis method to examine how women are represented in news articles and photographs, particularly in economic, social, and political contexts. The study population comprised 279 newspapers for three (3) months whereby each newspaper comprised 93 units hence the sample size for the study was 36 newspapers where each comprised 12 units as a sample. The study found that Tanzanian print media, specifically Uhuru Jumamosi, Habari Leo, and Daily News, actively include women in economic coverage, with women featured in 63% of articles on economic activities. However, representation often remains stereotypical, with women depicted primarily in agricultural, small-scale business, or social service roles, limiting their portrayal to informal and secondary roles. While Daily News provides a more diverse portrayal, including women in leadership within commerce and finance, Uhuru Jumamosi emphasizes women’s achievements through special sections. Social and political portrayals generally depict women in family or support roles rather than leadership, especially in political contexts.

Published by: Radhia Saidi Balozi, Francis Ng’atigwaResearch Area: Journalism And Mass Communication

Organisation: St. Augustine University of Tanzania, Dar es Salaam, TanzaniaKeywords: Print Media, Newspaper, Content Analysis, Uhuru Jumamosi Newspaper, Habari Leo Newspaper, Daily News Newspaper.

Research Paper

11. Anomaly Detection in SDN-enabled Cloud-Fog Collaborative Networks

Software-defined networking (SDN) has brought about a paradigm shift in network management and control, offering increased flexibility and automation capabilities. This transformation is particularly relevant in the context of smart cities, where integrating IoT devices and smartphones is essential for delivering efficient and responsive city services. As SDN gains prominence, the security of these devices in fog computing environments becomes a critical concern for maintaining the integrity and reliability of smart city infrastructures. Effective access control mechanisms are needed to safeguard the network, tailored to the unique requirements of SDN networks. These mechanisms are crucial for smart cities, where many devices and systems need to interact seamlessly while maintaining high-security standards. Additionally, KPI anomaly detection in SDN networks poses challenges due to the real-time processing of copious data. To address these challenges, this paper proposes a cloud-fog collaborative architecture with a GAN-GRU model for malicious activity detection. This architecture is designed with smart cities in mind, where fog nodes divide the network into subregions, mirroring the geographical divisions of a city. The cloud is responsible for model training, while fog nodes execute detection tasks, ensuring a responsive and efficient system for anomaly detection. The proposed method outperforms benchmark algorithms in terms of precision, recall, and F1 score, demonstrating its potential for implementation in smart city infrastructures. Furthermore, the impact of time window length on anomaly detection is analyzed, revealing optimal performance with a window length of 70. This paper also introduces a reputation-based access restriction management mechanism, demonstrating its effectiveness in preventing unauthorized access while ensuring secure operations.

Published by: Ibraheem Kateeb, Yasser AhmedResearch Area: Computer Engineering

Organisation: Qassim University, Saudi ArabiaKeywords: Software Defined Networks (SDN), Fog computing, Anomaly Detection, Generative Adversarial Networks (GANs), Gated Recurrent Unit (GRU), Wireless Networks, Smart Cities.

Research Paper

12. India and the United States a Dynamic Trade Relationship in the Global Economy

This article explores the trade relationship between India and the United States, examining its historical evolution, current trade dynamics, and prospects. The bilateral trade between the two countries has been characterized by growth, despite challenges such as tariffs, trade imbalances, and regulatory concerns. The analysis covers various aspects, including key industries, trade agreements, and the role of government policies in shaping the trade landscape.

Published by: Dr. Amaan AnjumResearch Area: Trade And Commerce

Organisation: Shia P.G. College, LucknowKeywords: Bilateral Trade, Economic Partnership, Trade Landscape

Research Paper

13. Would Arthashastra-inspired policies have led to better Economic Outcomes for Post-Colonial India?

After independence from Britain in 1947, the Indian government’s economic policies under Prime Minister Nehru intended to lay the foundations for a new, prosperous nation. However, until the reforms of the 1980s and 1990s, India’s economy struggled with a notoriously low “Hindu rate of growth” and the stifling bureaucracy of the “License Raj.” Nehruvian policy took inspiration from Western Socialist doctrine, discarding ancient Indian economic insights, such as those enshrined in Kautilya’s Arthashastra. Written in the fourth century BCE, the Arthashastra is widely regarded as a seminal text on economy and statecraft in the ancient world. Its approach, focusing on market and trade-friendly policies, in many ways, contrasted with the Nehruvian approach. This paper examines the extent to which the implementation of the Arthashastra’s tenets would have led to better economic outcomes for post-independence India, focusing on the early years of independence in the 1950s and 60s. It models this through an analysis of likely economic outcomes based on experience in other countries and post-liberalization India. The paper critically examines the social, political, and economic context of post-independence India and their impact on economic policy, concluding that while there was some sound rationale for the Nehruvian policies India adopted for its post-colonial economy, a progressive, if not immediate, implementation of the Arthashastra’s ideas would have advanced the arrival of growth and prosperity in India. Moreover, it concludes that this debate transcends questions of economics, pointing more broadly to how India can learn from the wisdom of its past as it moves forward on its path of progress instead of only looking westward for inspiration and role models.

Published by: Aaditya Sengupta DharResearch Area: Economic History

Organisation: Ecole Mondiale World School, Mumbai, MaharashtraKeywords: Indian Economy, Indian History, Economic History

Review Paper

14. Automation of Solar Dryer

The automation of solar dryers improves their efficiency, reliability, and usability by incorporating modern technology into traditional drying methods. This project aims to design an automated solar dryer system that utilizes a PIC16F877A microcontroller, DHT22 sensors for monitoring temperature and humidity, and a stepper motor for stirring. The system features a heating mechanism and a pulley system to avoid overheating, while LoRa communication and the Blynk app facilitate real time data transmission and notifications. The proposed solution seeks to optimize drying processes, enhance energy efficiency, and minimize manual intervention. This research underscores the potential of automated solar dryers in both agricultural and industrial settings, highlighting their sustainability and scalability for wider adoption.

Published by: Prajakta Wanjale, Eshwari Durgade, Vaishnavi Phadtare, Vasant DeokambleResearch Area: Embedded Systems And IOT

Organisation: Marathwada Mitra Mandal's College of Engineering, Pune, IndiaKeywords: Solar Dryer, automation, PIC16F877A Microcontroller, LoRa Communication

Case Study

15. Metallurgical Changes and Process Optimization During Forging of Connector Box-Pin- A Comprehensive Study

This paper investigates the forging process and its effect on the metallurgical properties of connector box-pin, essential components in oil and gas during oil drilling operations. The study focuses on understanding the microstructural changes and the changes in mechanical properties that occur during different stages of forging and how these changes influence the mechanical properties. Key process parameters such as temperature, strain rate, reduction ratios and cooling methods were evaluated for their impact on the final product. Mechanical testing, including tensile, hardness, and Impact test, was carried out to assess and validate its performance in real-world applications. The results show that optimal process control during forging leads to improved microstructure, mechanical properties, and product reliability.

Published by: Deepak Kamal, Dr. Jaidev ChandelResearch Area: Metallurgy

Organisation: Jindal SAW Ltd., Mundra, Gujarat.Keywords: Forging, Reduction Ratio, Connector Box-Pin, Microstructure, Mechanical Properties, Process Control

Survey Report

16. Training Evaluation Report on Modified WHO Hypertension Protocol and Simple App Software

Non-communicable diseases (NCDs), particularly cardiovascular diseases (CVDs), pose a significant health challenge globally and in Sri Lanka, contributing to substantial morbidity and mortality. Hypertension, a major risk factor for CVDs, remains underdiagnosed and poorly managed in Sri Lanka. A two-day training programme based on the Modified WHO Hypertension Protocol and the Simple App software was conducted for 23 healthcare professionals (11 medical officers and 12 nursing officers) in the Kalutara district to enhance their knowledge and skills in hypertension management. The training included lectures, practical sessions, and interactive discussions. Pre- and post-training assessments were conducted using a structured questionnaire to evaluate changes in knowledge, attitudes, and practices (KAP). Results revealed a significant improvement in KAP, with average scores increasing from 7.14 pre-training to 18.33 post-training. Awareness and proficiency in using the Simple App for hypertension management increased markedly, from 6 to all 23 participants. These findings demonstrate the effectiveness of structured training and digital tool integration in improving hypertension management. Regular training and evaluation are recommended to sustain and expand these outcomes.

Published by: Dr. SGD Sasanka, Dr. WPYG Pathirana, Dr. S Nandasena, Dr. YK Samarasighe, Dr. Udaya Rathnayaka, Dr. Champika WickramasingheResearch Area: Medical Administration

Organisation: Postgraduate Institute of Medicine, University of Colombo, Sri Lanka.Keywords: Hypertension, Non-Communicable Diseases, Training Evaluation, Simple App, Digital Health Tools

Research Paper

17. Nerve Sensitivity Identification by Explainable AI for Diabetic Patients’ Nerve Stress Point: A New Approach

Diabetic neuropathy, a common complication of diabetes, leads to impaired nerve sensitivity, particularly in the feet, resulting in an increased risk of foot ulcers, infections, and amputations. Current diagnostic techniques, often subjective and reliant on invasive procedures, fail to offer early detection of nerve damage, limiting timely interventions. This project leverages Explainable Artificial Intelligence (XAI) to create a diagnostic system aimed at identifying, categorizing, and analyzing foot dynamics and nerve sensitivity in diabetic patients. By utilizing XAI, the proposed system enhances interpretability, offering clinicians a transparent and reliable tool for early diagnosis and personalized treatment. Our solution focuses on capturing foot immersion and image data to assess nerve sensitivity, utilizing a four-point structural analysis to map foot dynamics and detect abnormalities. The system will also address the challenge of false diagnoses by distinguishing diabetic nerve damage from other nerve-related conditions using heat and frequency verification at the foot's nerve endings. The goal is to provide an objective, accurate, and interpretable diagnostic tool that empowers healthcare providers to improve patient outcomes by enabling timely interventions in diabetic neuropathy cases. The use of XAI ensures that the AI models are interpretable and transparent, allowing clinicians to understand the underlying factors influencing the diagnosis. This transparency is critical for clinical adoption, as it builds trust in AI-driven diagnostic systems. By integrating XAI into diabetic neuropathy diagnostics, this project seeks to revolutionize diabetic foot care, enabling more accurate and timely detection of nerve damage, reducing the risk of severe complications, and ultimately improving the quality of life for diabetic patients.

Published by: Chaitanya Jain, Aniruddha Bhaumik, Harsh BhanushaliResearch Area: Artificial Intelligence

Organisation: Vellore Institute of Technology, VelloreKeywords: Diabetic Neuropathy, Explainable AI, Nerve Sensitivity

Case Study

18. The Role of AI Tools like Chatgpt and Copilot in Revolutionizing Software Development and User Experiences

Artificial Intelligence (AI) has now entered organizations as a key driver of change in software engineering and UX design through such tools as the ChatGPT, and CoPilot among others. AI tools give developers incredible efficiency to improve their productivity, automate processes, and offer unique and better user experiences. This paper aims to evaluate the effects of hyping software developments with AI tools such as ChatGPT and CoPilot, the part they play in enhancing users’ experiences, and the complications involved. Some research findings present how these technologies affect Software Engineering practices regarding the future and theoretical questions that come with the gains of these innovations. AI tools are creating new frontiers when applying software engineering techniques. They act as enablers of increased productivity and creativity since they sift through dull, repetitive tasks, allow work in progress to occur in parallel, and provide a framework for development processes that were once limited to the realm of experts. Furthermore, they liberate developers to focus on dreaming and problem-solving as they code while promoting structures that take care of repetitive code writing, generating idiosyncratic documentation in real-time, and providing solutions. However, this transformation is accompanied by obstacles such as; AI call-for-duty dilemmas, issues of data privacy, developers’ overdependence, and skill degradation. This paper aims to explore their use to critically evaluate their usability to redefine paradigms in software development and user experience design. It also brings to the fore the importance of creating ethical guiding principles as well as very sound frameworks for the implementation of AI solutions. Lastly, tools such as ChatGPT and CoPilot represent a clear example of the transition to AI-enabled engineering, as distinct from AI-driven engineering, which marks a new age where the symbiosis of human creativity and artificial brainpower delivers results that have not been seen before.

Published by: Radhakrishnan Arikrishna PerumalResearch Area: AI

Organisation: Anchor General Insurance Agency, Bangalore, KarnatakaKeywords: Artificial Intelligence, ChatGPT, CoPilot, User Experiences, Productivity, Ethical Considerations.

Research Paper

19. The Current State of Research into the Efficiency of Distributed Machine Learning Algorithms for Cloud-Based Big Data Analysis

Today, data has become a driving force in nearly every business sector, and cloud computing, alongside artificial intelligence (AI), serves as a critical enabler that enhances business operations and performance. This research focuses on optimizing distributed machine learning (DML) algorithms within cloud environments to efficiently handle and process large datasets. The paper introduces a methodology for improving the performance of DML algorithms by utilizing the computational power and storage capacity of cloud platforms, coupled with parallel processing techniques. The experimental results demonstrate that the proposed approach reduces processing time by 40% and improves model accuracy by 15%, making it highly suitable for big data environments.

Published by: Shubham MalhotraResearch Area: Computer Science

Organisation: Rochester Institute of Technology, Rochester, NYKeywords: Distributed Machine Learning, Cloud Computing, Big Data, Optimization, Parallel Processing. Cloud Computing, Parallel Processing, Scalability, Fault Tolerance, Data Replication

Research Paper

20. Do Early Medications in Cases of ADHD Help Children to Cope with Behavioural Issues?

Diagnoses of Attention Deficit Hyperactivity disease (ADHD), a common neurodevelopmental disease, have increased globally, especially since the 1980s. Until the late 20th century, ADHD was not as often diagnosed in other parts of the world as it is in Western nations like the United States. This study examines how the prevalence of ADHD diagnoses and medication use is rising across a range of demographics, with a particularly noticeable increase seen between 2005 and 2012. The study lists the main causes of ADHD, which include environmental variables, brain damage, prenatal substance exposure, and genetic factors. Although environmental variables including low birth weight and exposure to pollutants certainly play a part, genetics is the primary determinant, with heritability estimates ranging from 70 to 90%. Individuals of all ages are impacted by the wide-ranging effects of ADHD. Among these are increased chances of comorbid ailments like anxiety, depression, sleep disorders, and behavioral problems. Stimulants and other medications are frequently used to treat ADHD, but they can have negative side effects including appetite suppression, sleeplessness, and more severe mental health issues. The fact that people with ADHD are more likely to commit crimes further emphasizes the disorder's wider social and economic effects. ADHD is managed differently over the world; for example, Australia and India have established protocols for diagnosis and therapy. Although pharmacological therapies are frequently employed, non-pharmacological methods including behavioral therapy and cognitive training are becoming more popular due to worries about their long-term effectiveness and potential negative consequences. This essay promotes a comprehensive, tailored strategy for treating ADHD, stressing the significance of addressing the disorder's influencing hereditary and environmental components. This study adds to the continuing discussion about the diagnosis and treatment of ADHD by emphasizing the value of all-encompassing care plans that weigh the advantages and disadvantages of pharmaceutical treatments against non-pharmacological alternatives.

Published by: Falakh JahidResearch Area: Diseases And Health

Organisation: Vidyashilp Academy, Bengaluru, KarnatakaKeywords: Attention Deficit Hyperactivity Disorder, Medication, Behaviour, Treatment, Non-Pharmaceutical, Pharmaceutical

Research Paper

21. Tangent Bundles Related to Various Properties of Differential Geometry

The objective of the present article is to investigate the lifts of a Fλ(2ν + 3, 2) -structure and determine its integrability requirements and partial integrability on the tangent bundle. Finally, the third tangent bundle T3M is examined in order to study the extension of a Fλ(2ν+3, 2) -structure.

Published by: Anowar Hussain SadiyalResearch Area: Mathematics (Geometry)

Organisation: Qassim University, Saudi ArabiaKeywords: Lifts, Nijenhuis Tensor, Partial Differential Equations, Projection Tensors, Integrability.

Research Paper

22. Adopting Secure Software Development Practices to Improve Financial Transactions in the Banking Sector

Secure software development practices are believed to be the banking sector's backbone of financial transaction security. This research examines the issues of adoption, effectiveness, and challenges of secure software practices, focusing on their implications for transaction security, customer trust, and regulatory compliance. The data from structured surveys and machine learning analysis using the Random Forest algorithm provided actionable insights. The results reflected that secure coding standards and threat modeling were at the top and had brought the vulnerabilities down a lot, raising the security of financial transactions a notch. Security testing and continuous integration had an important role but were less influential. Organizations adopting these practices extensively reported increased operational efficiency, reduced data breaches, and higher levels of customer trust. However, high costs of implementation, lack of skilled personnel, and integration complexities with legacy systems remain a challenge. Indeed, the performance of the machine learning model was very strong, with 90.7% accuracy, 91.6% precision, and 90.7% recall; thus affirming its strength in prediction. The importance of features further emphasized secure coding and threat modeling. This research has identified that strategic investments in employee training, modern security tools, and infrastructure upgrades are needed to address the implementation challenges. The agenda of future research integrates blockchain and AI with secure practices for enhanced security. The general contribution of the study is that secure software development practices have the potential to transform the security of financial transactions, build customer trust, and facilitate regulatory compliance in the banking industry.

Published by: Rianat Abbas, Rasheed Afolabi, Ifeoma Eleweke, Adetomiwa Adesokan, Ahmed Akinsola, Laticbe ElijahResearch Area: Computer Security

Organisation: Baylor University, USAKeywords: Secure Software Development, Financial Transaction Security, Banking Sector, Random Forest, Secure Coding Standards, Threat Modeling, Machine Learning, Cybersecurity, Software Development Lifecycle.

Research Paper

23. Assessing Organization-Specific Vulnerability Patterns- (Identifying Unique Weaknesses within the Organization’s Systems, Processes, and Culture to Proactively Address and Mitigate Risks)

Assessing an organization's unique vulnerability patterns is crucial for identifying and addressing potential security risks specific to that organization. This process involves looking at internal systems, workflows, and external interactions to spot vulnerabilities that are particular to the organization’s structure and operations. By understanding these patterns, businesses can implement customized security measures, prioritize resources more effectively, and take proactive steps to defend against targeted threats. Effective vulnerability assessment requires ongoing monitoring, employee training, and collaboration across different departments to ensure a well-rounded understanding of the organization’s security situation. This approach not only strengthens the overall cybersecurity posture but also helps organizations align their defenses with their specific operational needs.

Published by: Poongodi R K, Ponnarasu M, Prithika R, Mohamed Aadhil A, Sheethal JResearch Area: Cyber Security

Organisation: Paavai Engineering College, Namakkal, Tamil NaduKeywords: Vulnerability Assessment Risk Management Security Posture, Threat Landscape, Asset Inventory, Threat Modeling, Cybersecurity Risk

Research Paper

24. Refined Detection of Knee Osteoarthritis Using Center Net with a Pixel-Wise Voting Approach

This paper introduces an advanced approach for detecting Knee Osteoarthritis (OA) using an optimized CenterNet framework integrated with a pixel-wise voting strategy. Early and accurate detection of knee OA is vital for timely intervention and efficient disease management. The proposed method enhances the CenterNet architecture—a leading object detection framework—by incorporating a pixel-based voting mechanism, which leverages local image data to improve detection accuracy. Each pixel contributes to determining whether it belongs to an object or the background, and this aggregated information enables precise identification of objects and their locations. Experiments conducted on a publicly available knee OA dataset demonstrate that the proposed method outperforms existing techniques, achieving state-of-the-art results. The integration of CenterNet with the pixel-wise voting strategy holds significant promise in aiding clinicians with early diagnosis and treatment planning for knee OA patients.

Published by: Usha Kumari V, Abhishek S, Ajay R, Karnan K, Asim Ulla KhanResearch Area: Engineering

Organisation: Acharya Institute of Technology, KarnatakaKeywords: Knee Osteoarthritis, CenterNet, Object Detection, Pixel-Wise Voting, Medical Imaging, Deep Learning, Convolutional Neural Networks (CNN)

Review Paper

25. Trada – An AI-Driven Trading Assistant and Stock Analysis Service

The stock market poses significant challenges for traders and investors due to fragmented access to essential data and insights. Navigating multiple platforms to gather real-time data, historical trends, and financial information leads to inefficiencies and missed opportunities. Trada is an AI-driven trading assistant that centralizes stock analysis, providing users with real-time data and personalized buy/sell recommendations in one platform. By leveraging advanced machine learning algorithms such as ARIMA, LSTM, EMA, and XGBoost, Trada delivers predictive stock analysis and actionable insights. LLaMA enhances the platform's ability to summarize financial reports, helping users make informed trading decisions without the need to rely on multiple resources.

Published by: Rutuja Jamale, Aatish Jawalkar, Samruddhi Duse, Omkar Chole, Prachi SorteResearch Area: Fintech

Organisation: Marathwada Mitra Mandal's College of Engineering, Pune, Maharashtra.Keywords: AI-driven trading, Machine Learning, ARIMA, LSTM, EMA, XGBoost, LLaMA, Financial Insights.

Research Paper

26. Social Determinants Of Saving

This comprehensive research paper explores the complex landscape of household saving behaviors, moving beyond traditional economic models by integrating psychological, sociological, and economic perspectives. By examining the complex interplay of social determinants, this study employs a mixed-methods approach, incorporating quantitative data from national surveys and qualitative insights through interviews and case studies to provide a nuanced understanding of financial decision-making processes that shape individual and collective saving strategies.

Published by: Ayera JainResearch Area: Economics

Organisation: The Shriram School Aravalli, Gurgaon, HaryanaKeywords: Saving , Investment , Household Income , Social Factors , Economy

Research Paper

27. Nano-Enhanced Hydrophobic Coating with ZnO Nanoparticles for Preserving Cultural Heritage Building

Preserving outdoor heritage assets is an ongoing challenge in heritage conservation. The purpose of applying preservative coatings is to improve the hydrophobicity of exposed surfaces of building materials and protect against pollutants, microbiological growths, and especially the effects of rainwater. A good protective coating significantly lowers water absorption, maintains high water-vapor permeability, penetrates deeply, is UV light resistant, offers sufficient breathability, and is environmentally friendly. Polysiloxanes and their precursors have been widely used to protect stone surfaces. To avoid degradation or other modifications to the treated surfaces, the treatment's safety and effectiveness must be evaluated before being directly applied to historical materials. In the past, several nanoparticles were developed and tested to improve the functionality of these coatings. The initial protective layer is made of a solvent-based substance called silane-siloxane, which has poor adherence. As a result, water can partially wash off dirt, pollutants, and microbial colonies. The hydrophobicity of protective coating materials made of ZnO nanoparticles is substantially superior. Photocatalytic coatings can oxidize organic materials on surfaces. Pollutant particles and any other dry deposition were quickly and thoroughly removed by rainwater from protective coatings made of nanoparticles.

Published by: Dr. Vimal Kumar Jaiswal, Dr. S. Vinodh Kumar, Dr. M. K. BhatnagarResearch Area: Conservation Of Heritage Buildings And Monuments

Organisation: Archaeological Survey of India, Science Branch, Conservation Research Laboratory, Aurangabad, MaharashtraKeywords: Stone Protection, Nanostructured Coatings, Nanoparticles, Cultural Heritage Conservation, Hydrophobicity, Photocatalytic Coating, Corrosion, Nobel Metal.

Research Paper

28. Advancing Girls’ Education In Underprivileged Societies

Girls' education in underprivileged societies remains a critical issue that significantly impacts socioeconomic development, gender equality, and poverty alleviation. This paper explores the challenges and opportunities associated with advancing girls' education, emphasizing its role in empowerment, breaking the cycle of poverty, improving health outcomes, reducing child marriage, lowering fertility rates, promoting gender equality, fostering economic growth, enhancing social development, reducing gender-based violence, and creating global impact. Various socio-cultural, economic, and political barriers prevent girls from accessing quality education, perpetuating inequality and hindering national progress. By analyzing the existing challenges and proposing strategic interventions, this study highlights the need for holistic policy measures, financial investments, and community engagement to bridge the gender education gap. The findings suggest that empowering girls through education can lead to transformative changes, benefiting individuals and society at large (UNESCO, 2021; UNICEF, 2020).

Published by: Tanvi GarodiaResearch Area: education

Organisation: La Martiniere for Girls, Kolkata, West BengalKeywords: Girls' Education, Underprivileged Societies, Gender Equality, Socioeconomic Development, Child Marriage, Poverty Alleviation, Empowerment, Policy Interventions.

Research Paper

29. Leveraging Data Analytics in Investment Banking: Transforming Insights into Strategic Decisions

Data analytics has become extremely important for modern-day businesses, especially banks. Most of the information in banks is stored in computers as Big data. Analysing this data allows the banks to function efficiently and smoothly. There are various data analytics categories in banking, such as descriptive, diagnostic, prescriptive and predictive analytics. Data analytics has various advantages and challenges. So, an organisation may face various challenges like privacy regulations not allowing the organisation to analyse data freely, technical & architectural challenges, etc. For data analytics to be helpful for the company, it needs to be applied effectively; this can be done by asking practical questions to the software while analysing data or by making the data analysis platform easier for less skilled employees. Various tests, such as the T-test and regression model, play a key role in analysing data. Various companies have capitalised on data analysis by developing software and platforms focusing solely on data analysis. These companies use these platforms to other companies as a service they charge for. The biggest data analysis and investment research company is Bloomberg.

Published by: Aryaman JollyResearch Area: Data Analytics

Organisation: OP Jindal Global University, Sonipat, HaryanaKeywords: Analytics, Big Data, Bloomberg, Regression Analysis

Review Paper

30. An Analytical Review of Strategies for Empowering Health Literacy Through Effective Health Education Approaches

Health literacy is crucial in empowering individuals to make informed decisions about their health and well-being. This review paper analyses various strategies for enhancing health literacy through effective health education approaches. The paper synthesizes current research literature to identify key methodologies, challenges, and successful interventions promoting health literacy across diverse populations. By examining different educational models, community engagement strategies, and technological advancements, this review offers insights into promising practices for improving health literacy outcomes. Furthermore, it discusses the implications of these strategies for enhancing public health education initiatives and fostering healthier communities.

Published by: Dr Vishal Kishorchandra Pandya, Jethwa Hetalba, Ganatra Hasi, Aerda JiyaResearch Area: Computer Science

Organisation: Shri V J Modha College of IT, Porbandar, GujaratKeywords: Understanding Health Literacy, Educational Models, Community Engagement Strategies, Technological Innovations,

Research Paper

31. Ensuring Consumer Protection in Online Transactions: The Role of FCCPC in Nigeria

With the rapid growth of e-commerce in Nigeria, ensuring consumer protection in online transactions has become increasingly crucial. The Federal Competition and Consumer Protection Commission (FCCPC) plays a pivotal role in safeguarding consumer rights within the digital marketplace. This paper explores the role of the FCCPC in regulating online transactions, emphasizing its enforcement of consumer protection laws, dispute resolution mechanisms, and efforts to combat fraud and deceptive practices. The FCCPC's involvement extends to monitoring e-commerce platforms for compliance with the Consumer Protection Act, promoting consumer awareness, and collaborating with other regulatory bodies to ensure a fair and transparent online environment. Despite technological advancements and enforcement difficulties, the FCCPC continues adapting its strategies to address emerging issues, providing consumers with greater security and confidence in the online marketplace. This paper underscores the importance of a robust regulatory framework in fostering consumer trust and supporting the growth of e-commerce in Nigeria.

Published by: Sultan Alaaya AdebayoResearch Area: Business Law

Organisation: American University, Washington College of Law, D.C., United StatesKeywords: Consumer, Protection, Online, Federal, Competition, Consumer, Protection.

Research Paper

32. Prevalence of Oral Diseases in the Tribal Population of Badagas in Nilgiris District – A Cross Sectional Study

Oral health is a crucial aspect of overall well-being, encompassing functional, structural, aesthetic, physiological, and psychological dimensions. In India, tribal communities, including the Badagas of the Nilgiris, have historically faced socio-economic, political, and educational marginalization. Despite India's independence in 1947, these communities remained largely unrecognized and disconnected from mainstream development. The Badagas, an indigenous group residing in approximately 400 villages, have demonstrated remarkable progress through intensive cash-crop farming, leading to improved living standards. However, oral health challenges persist due to neglecting social and material determinants and lacking integration with general health initiatives. As a result, many individuals suffer from severe dental issues, impacting their quality of life. Addressing these disparities requires a comprehensive approach to oral health promotion, ensuring accessibility and awareness among tribal populations.

Published by: Amizhthan Sammanthane, Sakthi Kamala Vegashini, Sonaashri, Utsav Kumar Singh, Vezhavendhan NagarajaResearch Area: Dental

Organisation: Indira Gandhi Institute of Dental Sciences, Sbv, Pondicherry.Keywords: Public Health, Oral Health ,Dental, Community Health, Tribal Population

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