Volume 13 | Issue 5 |

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India - Europe Economic Relations

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India - Europe Economic Relations

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The focus of environmental ethics is defining what responsibility humans have to the environment, and how far this responsibility extends. The study was conducted to evaluate the environmental ethics among the JSS Academy of Higher Education and Research students of Mysuru city, Karnataka, India. The questionnaires were prepared and circulated and presently a sample of 500 students results have been analysed in the present research paper. To gauge the environmental ethics among the students, set of questions was prepared to understand the attitude of students towards environment. The proposed prospective study's statistical analysis will focus on environmental ethics among JSS Academy of Higher Education and Research students of Mysuru city, Karnataka, India. According to the survey's findings, students are becoming more conscious and concerned about the harm that human activity whether deliberate or unintentional is causing to the environment. A very small percentage of students gave negative responses due the lack of knowledge. This can be overcome by creating awareness and environmental education to change their perception of the environment and encourage them to conserve it. The Cronbach's Alpha value of 0.88 across 10 items, indicating a high level of internal consistency suggesting the Questionnaires are strongly correlated.

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Environment, Environmental ethics, Education, Attitude, Awareness.

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Cloud computing has revolutionized the way businesses and individuals store and access data, but its increasing adoption raises significant concerns regarding data security and privacy. Among the most critical challenges are issues related to data redundancy, unauthorized access, and dynamic data ownership. This paper presents innovative strategies to address these concerns by focusing on two core techniques: data deduplication and dynamic ownership models. Data deduplication plays a pivotal role in optimizing storage, reducing overhead, and enhancing data security by eliminating redundant data copies. Meanwhile, dynamic ownership strategies ensure that data access and control are efficiently managed in cloud environments, enhancing privacy protection. This paper explores the integration of these strategies within cloud security frameworks, presenting an in-depth analysis of their potential to improve data security, scalability, and privacy. Additionally, we evaluate their performance, challenges, and future research directions, providing a comprehensive approach to transforming cloud security in the context of modern data management.

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Cloud security, data deduplication, dynamic ownership, privacy, data management, cloud computing, data redundancy, access control, storage optimization, security framework

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The growing demand for efficient and reliable public transportation necessitates the development of smart systems that integrate modern technology to enhance user experience. This research presents a Bus Tracking and Reservation System implemented using MERN (MongoDB, Express.js, React.js, Node.js ) stack. The system offers a real-time GPS tracking, online seat reservations, payment integration, and route optimization. The paper discusses the system's architecture, data flow, and implementation while comparing it with existing solutions. The system aims to reduce passenger waiting times, optimize bus routes, and improve overall service efficiency.

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Bus Tracking, Reservation System, MERN Stack, Real-time GPS, Route Optimization

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The rapid evolution of Artificial Intelligence (AI) and Machine Learning (ML) has brought transformative advancements in healthcare. This paper presents an AI-powered web application capable of predicting multiple diseases, including Heart Disease, Parkinson's Disease, Diabetes, Jaundice, Liver Conditions, and Hepatitis. Leveraging supervised machine learning algorithms such as XGBoost and Random Forest, the system analyzes user-input medical data to generate accurate real-time predictions. The application's frontend is developed using Streamlit, providing a user-friendly interface, while the backend integrates trained models deployed using Joblib. This system is intended to support healthcare professionals in early diagnosis and decision-making, particularly in resource-constrained environments.

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Disease Prediction, Artificial Intelligence, Machine Learning, XGBoost, Random Forest, Healthcare Informatics, Streamlit.

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The proliferation of fake news across digital platforms poses a significant threat to information integrity and public trust. This study presents a comprehensive machine learning framework for the detection and classification of fake news, aiming to distinguish deceptive content from authentic information with high accuracy. Various preprocessing techniques, feature extraction methods, and advanced machine learning models--including Support Vector Machines (SVM), Random Forest, and deep learning architectures like LSTM--are systematically evaluated. The research emphasizes the importance of linguistic, semantic, and contextual features in enhancing model performance. Extensive experiments on benchmark datasets demonstrate that the proposed approach achieves superior results compared to traditional baselines. The findings underscore the potential of machine learning in combating misinformation and highlight future directions for developing more robust, real-time fake news detection systems.

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Fake News Detection, Machine Learning, Text Classification, Natural Language Processing, Misinformation, Deep Learning, Feature Engineering, LSTM, SVM, News Credibility Assessment

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????? ?? ?????? ??? ??? ?? ?? ???? ?????? ?? ????? ????? ?? ? ?????????? ????? ?? ?????? ???? ???? ???? ??????? ?? ????? ?? ???? ?? ?? ???? ??? ????? ????? ??? ?? ???? ?? ?? ????? ?? ????? ??? ??????? ?? ???, ???? ?????? ???????? ???????? ????? ?? ?????? ??? ???? ???????, ???? ???? ?? ??? ?????? ???? ????? ??? ?? ? ???? ?? '???????' ???? ????? ???? ?? ?? ???? ?? ????? ????? ??? ?? '???????? ??????' ??? ????? ??????????? ???? ????? ?? ????? ?? ???? ?????? ??????? ??? ???? ?? ???? ????? ??, ????? ????? ?? ??? ??? '???????? ?????' ?? ????? ???? ?? ???? ??, ?????? ?? ????? ?? ???? ???? ??? ????????? ??????? (2014) ?? ?????? ???????? ????? ?? ?? ?????? ???????? ???? ??? ?? ?? "????? ?? ??????? ?? ???????? ?? ?????? ?? ???? ?? ??? ???? ???? ???????? ????? ???"1 ???? ????? ??. ?????? (2009) ????? ??? ??, "???????? ????? ?? ?????? ????? ?? ???? ???? ?? ?? ???? ????? ?? ????? ?? ???? ??????????? ?? ????? ???? ???? ??? ??? ?? ?????? ?????? ??? ???????? ????? ?? ???? ?? ??? ??, ?? ??? ?? ???? ?? ?? ???? ???? ?? ???? ?? ?? ???? ??? ?? ?"2 ??????? ????? ?? ??????? ?? ????? ????? ?? ??????? ???? ?? ????? ????? ?? ?? ???????? ???? ???????? ?????? ?? ?????? ?? ???????? ??????? ??? ??? ???? ?? ??? ?????? ???? ?? ???? ?? ?????? ?? ?????? ?? ????? ?? ?????? ??? ??? ???? ?? ??? ????? ?? ??? ??? ?? ? ?? ?????? ??? ????? ?? ????????? ??????????? ????? ?????, ???? ?????? ????, ???????? ??????, ????? ???? ???? ?? ?????????? ???? ?? ????? ?? ? ???????? ??????? ?????? ??? ??? ???? ???? ?? ???? ???? ?? ?? ????? ?? ???? ?? ???????? ??? ????? ??????? ???? ??????? ?? ????? ?? ??? ????? ?????? ?? ???? ??? ?? ???????? ????? ?? ?? ??? ??? ???

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INTRODUCTION- Diabetes is becoming more common in the United States. From 1998 through 2002, the number of Americans with diabetes more than doubled and increased in all age groups Currently Objectives- o To assess the level of knowledge on self-care practices of diabetes mellitus among patients with diabetes mellitus o To associate the level of knowledge on self-care practices of diabetes mellitus among patients with diabetes mellitus with their selected demographic variables. o To prepare the information booklet. METHODS AND METHODOLOGY- The present study was a pre-experimental one group pre-posttest research study to recruit the who are diabetic patient were selected by the using of purposive sampling technique. The data collection by the face to face and observation technique through the self-structured questionnaire, after that the data collection the data analysis based on the objectives and hypothesis. RESULTS- Shows that among DM patients 2(3%) had excellent knowledge, 5(8%) had a very good knowledge, 27(45%) had good knowledge, 26(43%) had affair knowledge and no one DM patients have a poor knowledge about self-care practices of diabetes mellitus. DISCUSSION AND CONCLUSION- The main conclusion drawn from the present study was that most of the Diabetes mellitus patients had inadequate Level of knowledge regarding self care practices of Diabetes mellitus. Thus, it was concluded that, Information Education and Communication on self care practices of Diabetes mellitus among patients with Diabetes mellitus may be improve the level of knowledge. So the information booklet was distributed to diabetes mellitus patients.

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Diabetic patient, booklet.

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Adolescents who experience high levels of psychological discomfort also require significant levels of psychological counselling. Nowadays, there is a growing need for psychological counselling due to the variety of issues that people encounter in significant areas of life. This research paper aims to find a correlation between students' academic progress and the degree of psychological counselling needs among 14-17 years school going adolescents in the city of Chandigarh. The study was conducted on two hundred school going adolescents. Students' academic accomplishment scores on their half-yearly exam were compared to their psychological counselling requirements using the Psychological Counselling Needs Scale by Chouhan and Arora, 2009. Regardless of gender, a significant negative correlation was discovered between the need for psychological treatment and academic achievement. It indicates that adolescents with lower academic standing had more mental health issues and thus are in higher need of psychological counselling than those with higher grades. A student's ability to succeed academically is significantly influenced by their state of mental health. It is important to understand that psychological disturbances affect the academic performance of an individual. The findings aim to contribute valuable insights regarding the need of psychological counselling to adolescents which help them in boosting their academic achievement.

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Keywords: Psychological Counselling Needs, Adolescents, Academic Achievement.

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Career Connect is an intelligent educational platform designed to guide students in their academic and career paths using AI-driven tools. The system predicts suitable academic streams--such as Science, Commerce, or Arts--based on parameters like aptitude scores, subject-wise academic performance, and areas of interest. It also facilitates online examinations with instant result generation, streamlining the evaluation process. Additionally, Career Connect features a university recommendation system that suggests institutions based on CGPA, university ratings, and other key metrics using machine learning algorithms. The platform further supports student-university interaction through integrated web and mobile applications, enabling course management, attendance tracking, and faculty-student communication, thus creating a centralized, efficient educational ecosystem.

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Aptitude Assessment, SSC Results, Online Examination, Educational Automation, Integrated Platform, Academic Management.

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Creative Commons Attribution 4.0 and The Open Definition