Volume 13 | Issue 2

 Abstract

This paper examines the fundamental transformation of India's market structure from traditional monopolistic competition to platform-based economies, focusing on the period 2019-2024. The research analyzes how digital platforms have reshaped competitive dynamics in the Indian market through network effects, economies of scale, and data-driven strategies. Drawing on comprehensive market data and case studies of major platforms like Zomato, Flipkart, and Paytm, we investigate the drivers and implications of this transition. Our findings indicate that India's digital economy, projected to reach USD 1 trillion by 2028, is characterized by increasing platform dominance and "winner-takes-all" dynamics. The study reveals how regulatory frameworks, particularly through the Competition Commission of India's interventions, are evolving to address the unique challenges posed by platform economies. This research contributes to the growing literature on digital market dynamics in emerging economies and provides insights for policymakers navigating the complexities of platform-based competition.

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Platform Economies, Digital Transformation, Monopolistic Competition, Economies of Scale, Data-Driven Strategies, Digital Market Dynamics, Emerging Economies, Competition Policy, Regulatory Frameworks

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In today's digital landscape, individuals are increasingly faced with the challenge of balancing security and convenience in their daily activities. This study, titled "The Trade- off Between Security and Convenience: Finding the Sweet Spot," explores how users navigate this critical tension when utilizing various technologies and services. By surveying a diverse range of participants, we aim to identify prevailing attitudes towards security measures, the desire for convenience, and the factors influencing user decisions. Our findings will illuminate the nuanced preferences of consumers, revealing how they prioritize security features against the backdrop of their need for ease of use. Ultimately, this research seeks to contribute to a deeper understanding of user behavior and inform the development of solutions that optimize both security and convenience in digital interactions.

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2FA, Security, Convenience, Meachine learning, Logistic Regression

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Anjo Didi Natak Ka Vartman Paridrishya Me Prasangita

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Anjo Didi Natak Ka Vartman Paridrishya Me Prasangita

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Designing for children, Design elements, Montessori schools.

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: The process of Ayurveda drug discovery has received a big boost from the use of high-end computers and machine learning algorithms. There are many new drugs introduced into the market each year, making it difficult for Ayurveda doctors to keep up with the latest advancements. In this proposed work we introduce an end-to-end system that is able to go through the literature of newly discovered drugs and store the features in a database. Then, it is able to accept the symptoms of a patient from a physician/Ayurveda doctor and recommend appropriate Ayurveda drugs, which may be prescribed to the patient, subject to the discretion of the physician/ Ayurveda doctor. We'll use a variety of supervised machine learning methods before deciding which one is best for the model. Datasets collected from www.kaggle.com and www.githib.com and supervised learning algorithms applied to process the datasets and drug recommendation is done. There are many research works on this topic where they have built models and shown results, around 80 to 85% accuracy generated using R language, Python language and data science tools. But all these works are just models, cannot be used as application useful in real time. In our project work we build an application with model that can recommend the suitable Ayurveda drug based on the parameters like symptoms, disease, drug rating etc. It focuses on various feature selection techniques and prediction models to enhance disease diagnosis, improve patient survival rates, and recommend the best lifestyle practices to follow. Proposed system is a real time medical system useful for hospitals and doctors and built using Microsoft tools such as Visual Studio tool and SQL Server tool.

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Key words: PAN- Presence Across Nation, GOI-Government Of India, Doon-Dehradun, SCM-Smart City Mission, UPCL-Uttarakhand Power Corporation Limited, ABD-Area Based Development, ONGC-Oil and Natural Gas Corporation, DGP- Director General of Police, CCTV-Closed-Circuit Television, CEO-Chief Executive Officer, SCADA-Supervisory Control and Data Acquisition, GPS-Global Positioning System,

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This article analyses the meaning, values, and moral lessons inherent within Khasi-Jaintia society folktales. It examines the roles of genders as portrayed in oral traditions and folktales, aiming to elucidate their impact on the social, economic, political, and cultural fabric of society. These narratives provide an opportunity for modern scholars to delve deeply into the complexities of gender roles while also highlighting the interplay between antiquity and modernity. By studying the folktale narratives of the Khasi-Jaintia, this article seeks to enlighten readers about how the Khasi-Jaintia perceive the world and their environment. Some narratives teach us about the ethical codes and habits exhibited by both genders. Moreover, it aims to understand the relevance of these narratives in identifying the changing trends of gender in modern-day Khasi-Jaintia society. These folktales create awareness in society that both men and women play important roles in upbringing their families. It is their duty as parents to guide, motivate, and inspire their children by citing tales that are relevant to their day-to-day activities.

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Khasi-Jaintia, society, culture, tradition, values.

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Highways are one of the significant parts of the modernized world. They play an important role for the development of country's economy. An E-highway, also known as an electric highway, it is revolutionary transportation infrastructure system designed to provide a consistent and efficient power supply to electric vehicles, particularly heavy-duty trucks and buses. The primary goal of an e-highway is to enable electric vehicles to charge while in motion, minimizing the need for large battery packs and addressing range limitation. E-highway can significantly reduce greenhouse gas emissions and operating costs for fleet operators. The technology involves overhead lines, rail, or inductive system to transmit power to electric vehicles. Overhead lines are the most commonly used technology, accounting for the largest share of the market. The transport sector depends upon non-renewable sources. Such that fossil fuels, coal, petroleum and natural gases. The transportation sector not only contributes for the nation's development but also for the greenhouse gases emission that accounts for nearly 1/5th of the global total energy consumption. The electric highways is a technique where large trucks or vehicles, hybrids with dynamic pantographs on their top, coupled to the overhead power cables so as to get electricity from the power grid. As a result, E-highways with the combinations of EVs can eliminate the need of vehicle recharging. This technology is the efficient one in term of both fuel-consumption and smart power supply.

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e highway

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The main purpose of this study was to investigate how perceived availability and utilization of instructional materials relate to students' academic performance in secondary school Home Economics in Calabar municipality of Cross River State, Nigeria. Specifically, the sub-sets of the research independent variable (instructional materials) include audio, audio-visual, and visual; the dependent variable (students' academic performance) was the Home Economic Achievement test. To realize the purpose of the study, six research questions and four hypotheses were postulated to guide the study. A related literature review was done in line with the study variables. The correlational research design was adopted for the study. The study population comprised all public secondary school students in Calabar municipality. However, 249 junior secondary school students were selected as samples for the study through stratified and simple random sampling techniques. Three research instruments namely: instructional materials availability checklist, instructional materials usage checklist, and Home Economics achievement test were utilized for data collection. Data gathered were subjected to statistical analysis using Pearson Product Moment Correlation and Multiple regression analysis. The research questions and hypotheses were subjected to statistical testing at 0.05 alpha levels. The results of the data analysis are: there is a significant relationship between perceived utilization of visual instructional materials and students' academic performance in secondary school Home Economics in Calabar Municipality; there is a significant relationship between perceived utilization of audio-visual instructional materials and students' academic performance in secondary school Home Economics in Calabar Municipality; there is no significant relationship between perceived utilization of audio instructional materials and students' academic performance in secondary school Home Economics in Calabar Municipality; and perceived utilization of audio, audio-visual and visual instructional materials are significant joint predictors of students' academic performance in secondary school Home Economics in Calabar Municipality. Following the findings of the study, it was concluded that availability and utilization of instructional materials are important variables to boost students' academic performance in secondary school Home Economics and other subjects. It is therefore recommended that education policymakers, the heads of secondary schools, the Home Economic teachers, the students, and the society at large should make sure quality instructional materials are provided for effective teaching/learning, and both teachers and students should have access to quality instructional materials to achieve expected educational goals.

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Instructional materials, Academic performance, Home Economics

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Jay Shankar Prasad Ke Natako Ka Yogdhan

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Jay Shankar Prasad Ke Natako Ka Yogdhan

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Human rights in India is an issue complicated by the country's large size, its tremendous diversity, its status as a developing country and a sovereign, secular, democratic republic. The constitution of India provides for fundamental rights, which include freedom of religion. Clause also provide for freedom of speech, as separation of executive and judiciary and freedom of movement within the country and abroad. Women in India face many social inequalities ranging from gender specific abortions, mistreatment by their spouses, to eve teasing. Most women aren't aware of women rights in India and other times their legal rights are not protect as they should be.

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Crime, Cruel, Domestic,Violence, Women

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Abstract: - Students' learning performance and entire academic experience are greatly influenced by two interconnected psychological factors: academic motivation and academic anxiety. Academic anxiety may both inspire and deter students from pursuing their education, whilst academic passion motivates them to do so. The intricate link between academic drive and anxiety is examined in this theoretical research, with a focus on how the two affect one another and how student performance is affected. The study looks at the situations in which worry may boost motivation and the ones in which it might hinder achievement. It also explores how the dynamics of motivation and anxiety are influenced by elements like academic pressure, perceived control, and self-efficacy. The results emphasize that in order to maximize learning outcomes, educational practices must strike a balance between drive and anxiety. This study advances our knowledge of how academic emotions affect student engagement and identifies topics for further investigation to better comprehend and manage these elements in learning environments.

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Keywords: Academic Motivation, Academic Anxiety, Student Engagement, Learning Outcomes, Educational Strategies

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Artificial intelligence (AI) is redefining traditional management practices by enhancing efficiency, decision-making, and operational accuracy across the POSDCORB framework--Planning, Organizing, Staffing, Directing, Coordinating, Reporting, and Budgeting. This paper examines the integration of AI tools, such as ChatGPT, predictive analytics, and automated scheduling systems, to demonstrate their transformative potential in modern management. By leveraging AI, organizations can streamline workflows, improve strategic foresight, and foster better resource allocation. However, the adoption of AI raises significant challenges, including ethical concerns, workforce displacement, and data security risks. This study synthesizes case studies, literature, and real-world applications to analyze these opportunities and challenges. It concludes that achieving a balance between human oversight and AI capabilities is essential for ethical and sustainable organizational growth. Additionally, it recommends actionable strategies for integrating AI responsibly into managerial functions.

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POSDCORB, Management practices, AI in management

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Caste discrimination is the pivotal topic to be discussed in the academic forum in order to create awareness among public regarding the equality of the race across the globe. Bama's Karukku and Sangati hinge on the specific theme of the social stratification in India and especially in Tamilnadu. From time immemorial, the ancient civilisations have divided people into distinct classes based on the factors like wealth, occupation and birth. The title "The Silenced Voices' promulgates on the socially oppressed people who are suppressed by the societal dictum over the particular sect of people. Every prominent novels indited in the light of domination of people offer a thorough depiction of underrepresented groups and the frequently ignored voices in Indian society. The struggles of Dalit women are highlighted in Bama's Sangati, which focuses on their experiences of oppression, silence, and resistance within a strict caste system. Karukku delves into the inner battle of a Dalit Christian woman contending with religious and caste-based prejudice. The title, The Silenced Voices, emphasizes how these voices are often muted as a result of gender stereotypes, societal hierarchy, and religious restrictions. In the end, both the stories provide a forum for the empowerment and expression of these marginalized voices in literature by acting as a platform to magnify these marginalized viewpoints and challenge the intersectionality of caste, gender, and religion. These works challenge the dominant social institutions that have traditionally marginalized Dalit women by bringing their repressed and silenced voices to the fore with agency and narrative presence. This novels shows how Dalit communities are forced to live outskirts of their villages, denies access to public spaces, and subjected to social exclusion (Anandhi,2005).

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Bama, Caste Taboo, Gender discrimination, Hierarchy of society, Social status, Social Stratification,

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This project presents a Smart Alert System de- signed to enhance security in public transportation through automated detection and real-time alerts. Leveraging CCTV- integrated facial recognition and behavior analysis, the system identifies known criminals from a police-maintained database anddetects suspicious theft-related actions. Upon identifying potentialthreats, the system sends immediate alerts to nearby police stations, enabling swift intervention. By automating these security processes, the system reduces reliance on manual monitoring, improves response times, and contributes to safer, more reliable public transportation. This approach aligns with smart city initiatives, providing a scalable and efficient solution to urban transit security.

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CCTV Integration, Facial Recognition, Criminal Database, Police Alerts ,Real-time Monitoring ,Suspicious Behavior Detection, Theft Detection

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Unfortunately, there is currently no cure for coronary heart disease (CHD), a deadly cardiac condition. Identifying coronary artery disease accurately and quickly is crucial for effective patient therapy. Treatments can be initiated sooner and patient outcomes can be improved with early detection. Using an optimised LightGBM classifier, the "HY_OptGBM" model forecasts CHD. When it comes to predictive modelling, the gradient boosting framework LightGBM is both efficient and accurate. Optimisation of the LightGBM classifier is achieved by adjustments to the hyperparameters and loss function. The accuracy and efficiency of model training are both enhanced by this optimisation strategy. Data on coronary heart disease from the Framingham Heart Institute is used to evaluate the model's performance. The algorithm reliably predicts CHD using this data, which paves the way for early detection and, maybe, reduced treatment expenses. Additionally, it presents a Voting Classifier (RF + AdaBoost) that can identify Coronary Heart Disease with a 99% accuracy rate. This ensemble model using Random Forest and AdaBoost does a good job of differentiating CHD patterns. User registration and sign-in are made easier with the use of an intuitive Flask framework that integrates with SQLite, allowing for easier usability testing. This streamlined interface may make the use of machine learning technologies easier for the stakeholders involved in CHD identification.

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OPTUNA, ML, CHD, hyperparameter optimisation, LightGBM, loss function.

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The study was conducted in Taranagar region of Churu district of Rajasthan. In this study researcher work on Ecological role of Prosopis Cineraria tree (Khejri) found in the study area. For this study author applies various method such as - direct observation, field study, etc. The material uses for this study are Thermometer, Hygrometer, poly begs, pH meter, etc. Author finds that the Khejri (Prosopis Cineraria) tree play important role in ecology of the study area. It reduces soil erosion of desert. It also increases the soil fertility and Biodiversity of Taranagar region. Climate regulation, Oxygen production, air purification, provides natural habitat & shelter to organisms are also done by this tree.

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Ecology, Prosopis, cineraria, Factors, Desert, Taranagar, Rajasthan.

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Thermotolerant fungi, circadian, season

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This study investigates the financial performance of Mahindra & Mahindra Limited, a key player in the Indian automotive industry. By analysing profitability, financial strength, and overall performance, this research aims to provide insights into M&M's financial health and its competitive position within the growing Indian automotive market.

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A STUDY ON FINANCIAL PERFORMANCE ANALYSIS OF MAHINDRA & MAHINDRA LIMITED"

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Chemotherapy, a cornerstone of cancer treatment, often comes with significant side effects due to its cytotoxic effects on both cancerous and healthy cells. Among the numerous cellular stressors induced by chemotherapy, oxidative stress plays a key role in the damage to healthy tissues. Antioxidants, such as magnesium and copper, have been proposed as potential adjuncts to reduce these adverse effects. Magnesium, a vital cofactor in many enzymatic processes, has demonstrated protective properties against oxidative damage, potentially mitigating chemotherapy-induced inflammation and cellular injury. Copper, an essential trace element, plays a dual role in cancer biology; while excessive copper may enhance tumor growth through angiogenesis and oxidative stress, maintaining optimal copper levels may support the body's antioxidant defenses. This paper explores the potential of magnesium and copper in cancer therapy, focusing on their ability to reduce oxidative stress and improve patient quality of life during chemotherapy. By understanding the balance of these elements, clinicians may be able to develop more effective and personalized therapeutic strategies to minimize chemotherapy's harmful side effects.

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Chemotherapy, oxidative stress, antioxidants, magnesium, copper, side effects, cancer therapy, inflammation, cellular damage, tumor growth, angiogenesis, personalized therapy, trace elements, cancer treatment, chemoprotection.

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