This paper discusses how an audio-tactile learning aid is made more effective through technology, enhancing children with visual impairments' knowledge of historical sites. Conventional teaching and learning methods that include verbal descriptions and Braille usually do not provide sufficient spatial and contextual understanding, and thus limit ef...

By Alagumani Kannan, K. Sambath Rani

Organizations are increasingly using analysis to understand consumer buying habits in order to understand what type of promotional strategies work best for their products. This is due to the fact that digital platforms have a greater influence on a consumer's purchasing decisions. A complete quantitative approach is designed to understand the impac...

By M. Kalaivani, Arasuraja Ganesan, N. Arunfred, V. Aruna

Self-regulated learning is one of the most important constructs within the field of higher education that refers to the processes of planning, monitoring and evaluation of one's academic behavior under limited guidance from external sources. Even though there is an extensive amount of research dedicated to the topic, the contributions of the metaco...

By Malika Talipova, Marietta Karamyan, Shoira Urakova, Sirojjon Berdikulov, Inoyat Tuychieva, Nodira Kodirova, Oygul Teshabayeva, Nargiza Burieva

The issue of youth substance abuse persists as one of public health concern, and the current strategies targeting adolescents through messages related to danger and deficit frames have proven inconsistent in terms of effectiveness in the long term. This paper explores the theory of salutogenesis, which derives its origins from the model of health b...

By Saodat Julmatova, Marina Markendudi, Malika Umedzhanova, Muborak Akhmedova, Dilnoza Abdullayeva, Nargiza Sharifkhodjaeva, Nasiba Salikhova, Khurshid Makhammadiyev

This empirical study investigates the impact of work-life balance on the happiness of office workers in Hanoi's inner city, while also evaluating job satisfaction as a mediating variable in this relationship. In  light of the digital revolution, escalating work pressures, and the blurring boundaries between professional and personal life, it i...

By Nguyen Thi Mo, Do Ba Hieu, Ngo Thuy Trang, Vu Tri Duc, Le Luu Ly

The increasing use of artificial intelligence (AI) in banking opens up possibilities for advancing eco-friendly banking, however, there is little empirical evidence on the interaction between AI service features, environmental and functional perceptions, and customer adoption in India. The research analyzes the relationship of environmental concern...

By M. J. Sumaiah Shaheen, M. Karthikeyan

Problem: Academic events, which require considerable amounts of energy, transportation, catering, water, material usage, and waste generation, lack integrated computational methodologies for assessment and optimization of their ecological footprint. Approach: The paper suggests a framework for computational engineering analysis and sustainability o...

By Gouthami Eragamreddy, Indrajit Pal, Sriramakavacham Ramacharan, Prasun Chakrabarti

Background: Interoperability, privacy, and the background of healthcare information are significant issues in the healthcare industry, mainly because of the fragmentation of the data. Conventional solutions are not secure, transparent, and accurate enough to share data effectively. Purpose: The purpose of the study is to examine how blockchain and ...

By K. Deepthika, Dr. I. Bhuvaneshwarri

Job dissatisfaction, lack of career growth and talent pool are also a problem in employee retention in the Indian IT industry. Traditional talent management practices fail to address the dynamic employee needs, which disengages employees, resulting in an increase in turnover cases. The paper focuses on the influence of AI-based talent management mo...

By Jagan Mohan, Arup Kumar Halder

Text summarization plays a crucial role in natural language processing by condensing large volumes of textual information into concise and meaningful summaries. With the rapid growth of digital content, existing summarization approaches often struggle to balance contextual understanding and semantic relevance. This paper presents a PMI-driven BERT-...

By R. Ramesh, N. Subalakshmi, S. Selvarani, K. Kavitha, M. Jeyakarthic