Volume 13 | Issue 3 |

 Abstract

Buddhism, originated from India around the six century B.C. is one of the great contributions of India to all the countries in the world from the ancient to the modern life. It has brought numerous changes in the life of people of the countries, it reached. This is the reason it has been acknowledged by the General Assembly of the United Nations in 1986 as a great religion of the world on account of its philosophical relevance. In case of Vietnam, Buddhism, which transmitted into Vietnam around the second century A.D by the sea and land routes brought a great change in the life of Vietnamese, and still continues to reign over the mind of the Vietnamese. The previous scientific research, and the cultural and artistic works along with the architectural and construction works are preserved manifest how the contribution of Buddhism in Vietnam in the fields of politics, economy, social ethics, poetic art, especially to sublimate the spiritual life of Vietnamese people. In the present, Buddhism continues to contribute to the Vietnamese nation under the guidance of the Vietnamese Buddhist Sangha established more than 40 years ago and going on a strong development momentum and has made many positive contributions to the development of Vietnam today as well as to take care of the spiritual life of Vietnamese people living there and abroad. In this background the paper aims to discuss the contribution of Buddhism in the life of Vietnamese.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vietnam, Buddhism, Buddhist Philosophy, History of Buddhism in Vietnam, Contribution of Buddhism in Vietnam

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Woman safety is the most significant and serious issue of contemporary society and demands effective technological solutions to be invented. Safety and security for women are indispensable for guaranteeing gender equality, well-being for the individual, and social development. Women are facing various challenges and dangers in the shape of harassment, violence, discrimination, and unequal distribution of resources and opportunities. To address these issues, collective action is being taken to raise awareness, advocate for women's rights, and establish effective measures for women's safety. This includes education and awareness campaigns that aim to change attitudes and behaviors within society, foster respectful relationships, and combat gender stereotypes and prejudices.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emergency Response, Gender Equality, Protection, Security, Women's Safety.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The emergence of social media marketing has drastically altered how businesses impact their consumer's buying behaviour and decisions. In this context, this research analysed the efficacy of social media marketing strategies such as influencer marketing, user generated content and brand communication & interaction, on the customer's attitude and spending behaviour. The research employs a mixed-methods methodology which includes quantitative approaches such as surveys and qualitative approaches such as interviews to assess the social media experience of consumers, their goals, and their interactions with several brands involving Instagram, Facebook and YouTube. Techniques such as statistical analysis and content evaluation are used to find the main factors affecting consumer intention to buy. The findings shed light on the efficiency of social media marketing in building brand equity, trust and purchase decisions. This research is in line with the current trends in digital marketing and presents useful benefits for businesses seeking for ways to revamp their social media purpose, increase consumers' satisfaction and ultimately sales in a competitive environment.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social media marketing, Consumer behaviour, Influencer marketing, Purchase decisions, Brand engagement, User-generated content, Digital marketing, Consumer trust, Brand awareness

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nanjil

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nanjil

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Early detection of Autism Spectrum Disorder (ASD) is essential for timely intervention, enabling better developmental outcomes and improved quality of life. This research introduces an intelligent machine learning framework tailored for early ASD diagnosis, leveraging diverse, age-specific datasets. The proposed system integrates advanced data preprocessing techniques to optimize feature selection and enhance model accuracy. It employs four robust machine learning algorithms--Logistic Regression, Random Forest, Support Vector Machine (SVM), and XGBoost--to ensure reliable classification. The model's performance is assessed using key evaluation metrics, including accuracy and ROC-AUC scores. Additionally, the framework is equipped with an intuitive graphical interface, ensuring ease of use in clinical settings and offering a practical tool for early diagnosis and personalized intervention strategies.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Autism Spectrum Disorder (ASD), Early Diagnosis, Machine Learning Framework, Feature Selection, Data Preprocessing, Classification Algorithms, Logistic Regression, Random Forest, Support Vector Machine (SVM), XGBoost, Model Performance Evaluation, Accuracy, ROC-AUC Score, Clinical Application, Graphical User Interface (GUI), Personalized Intervention, Medical AI, Predictive Analytics

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Artificial intelligence has recently become the hottest topic in the technological world and has made its way into the medical sector. Around the world, many medical institutions and clinics are implementing AI into their system for more efficiency and cost savings with faster response. AI can help physicians in life-threatening disease prevention and diagnosis and can help in making treatment smarter and more targeted with faster response which is helping medical sector revolutionize its functioning. With increase in AI functionality into our healthcare system day by day, the boundary between doctor and patient confidentiality is being tested because sharing of patient data to third party developers for algorithm training because of these rapid changes into medical sector the legal norms which were made in the context of doctor and patient relationship are being pushed away with these technological changes. This research paper addresses the issue like liability, data privacy, and the risk of over-reliance on AI by medical profession which can undermine the human touch in patient care. By addressing this issue, the main focus of this paper is to understand how we can get legal norms which can integrate the AI into medical sector with effectively and ethically with ensuring the patient confidentiality and his care without compromising patient rights or its societal values.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KEYWORD Artificial intelligence, Medical diagnosis, legal accountability, data protection regulation (GDPR), ethical, legal ramification, algorithms, privacy, accessibility, legal framework, hybrid liability, anonymization, Health Insurance Portability and Accountability Act (HIPAA)

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Pre-service teachers have the responsibility of establishing the future course of education and hence it becomes imperative to find out and understand the challenges which they face at the training ground. The present study aimed at analyzing the prevalence of difficulty perceived by pre-service teachers in targeted colleges of Uttar Pradesh and establishing the acceptability of suggested approaches to counter those challenges. Using a mixed-method research design, quantitative and qualitative data were gathered. By conducting a semi-structured interview of 10 pre-service teachers and a close-ended questionnaire prepared by themselves gathering feedback from 50 participants, findings indicated that pre-service teachers faced minor challenges in support areas such as administrative support, insufficient workshops and seminars, related activities, and learning environment. The research also pointed out certain challenges like variability among students, supervisors, and peers, poor facilities, poor accessibility of ICT equipment, network connectivity, and poor preparation and training. The resolutions for the challenges put forward were rather satisfactory. These results reinforce that there is a need for more institutional support, quality training programmes, and increased accessibility to technology tools to ensure a better learning environment for pre-service teachers.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Lesson planning, Pre-service teachers, Technology integration

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Lithium-ion batteries (LiBs) are the cornerstone of modern energy storage, powering applications from consumer electronics to electric vehicles. Optimizing charging strategies is crucial to enhance battery performance, efficiency, lifespan, and safety. This review explores advanced charging algorithms, including Constant Current-Constant Voltage (CC-CV), Pulse Charging, Model Predictive Control (MPC), Machine Learning-based optimization, and Hybrid Adaptive techniques. A comparative analysis is conducted on key performance metrics such as charging time, energy efficiency, thermal management, degradation effects, and real-time adaptability. The impact of optimization techniques, including Particle Swarm Optimization (PSO), Genetic Algorithms (GA), and Reinforcement Learning (RL), on battery longevity and fast-charging capabilities is examined. Additionally, the review highlights challenges in real-world implementation, such as thermal constraints, aging effects, and safety concerns. The study aims to provide insights into the trade-offs between charging speed and battery health while recommending future directions for intelligent and adaptive charging solutions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Lithium-ion batteries, charging algorithms, Optimization techniques, controllers.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Rice milk bars are an emerging dairy-free alternative in the plant-based food market, offering consumers a nutritious and allergen-friendly option. This study focuses on developing and characterizing a rice milk bar formulated with natural ingredients to enhance taste, texture, and nutritional value. The bar is designed to provide a balanced macronutrient profile while maintaining a creamy consistency and appealing flavor. Key factors such as ingredient composition, production methods, sensory evaluation, and shelf stability were analyzed. The results indicate that rice milk bars can be a viable alternative to conventional dairy and nut-based snack bars, catering to lactose-intolerant and vegan consumers. Further research is recommended to optimize formulation and expand market potential.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Future Trent of Parboiled Rice, Growth of Parboiled Rice, Study of Parboiled Rice

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines the retention of teaching staff in international schools situated in Hyderabad, India. The retention of teaching staff is crucial for ensuring the continuity of quality education in the international curriculum and the overall success of these institutions. The research investigates factors influencing teacher attrition. The research analyses various aspects such as job satisfaction, compensation, professional development opportunities, and organizational culture. It underscores the importance of prioritizing staff retention efforts in international schools. By comprehensively understanding the multifaceted factors influencing retention, educational institutions can create a supportive and engaging work environment that attracts and retains talented educators. This includes actively working to create a culture that values and appreciates the contributions of teachers. The study aims to find and recommend strategies and practices to retain teachers of this educational context. It includes collecting primary data through a structured questionnaire, from teachers working in International Schools of Hyderabad and analyzing the data using descriptive statistics, correlation and factor analysis tools. The final recommendations may help the international schools to improve their teacher retention rates and work towards developing better policies for the same.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Teacher Attrition, International Schools, Retention of Teachers, Educational institutions, School Teachers

  License

Creative Commons Attribution 4.0 and The Open Definition