GENERATIVE AI DRIVEN SOCIO PRAGMATIC SCAFFOLDING FOR DEVELOPING CROSS CULTURAL COMMUNICATIVE COMPETENCE IN ADVANCED LANGUAGE LEARNERS
The cultivation of cross-cultural communicative competence (CCCC) among advanced language learners remains ongoing, particularly regarding exposure to authentic socio-pragmatic contexts and the lack of adaptive feedback in traditional learning. The research paper suggests a socio-pragmatic scaffolding system that uses large language models to gener...
By Choi So Young, Moximir Mamadjanova, Fatima Vakhidova, Gavkhar Tursunova, Bakhtijon Isroilova, Ozoda Achilova, Komila Shoyimova
COGNITIVE RESILIENCE MECHANISMS AGAINST PERSISTENT ALGORITHMIC PERSUASION AND BEHAVIORAL NUDGING IN IMMERSIVE DIGITAL ENVIRONMENTS
Adaptive algorithms have become increasingly influential in shaping the nature of immersive digital experiences and have been used to continually personalise content, recommendations, and behavioural prompts. Since over 70% of users interact with AI-modified systems daily, algorithmic mediation is a factor in almost two-thirds of content viewing an...
By Mashkhura Khalimova, Nodira Urinova, Shohjahon Dehkonboev, Shakhlo Iskhakova, Atham Jurayev, Fotima Rafikova, Dilbar Jabborova
DETERMINANTS OF ELECTRIC VEHICLE PURCHASE INTENTION AMONG CONSUMERS IN ERNAKULAM DISTRICT
The use of electric vehicles (EVs) is rapidly changing due to the rising environmental issues and the shift to the system of sustainable transportation, which includes factors such as government incentives, advancements in battery technology, and increasing consumer awareness about climate change. This paper looks at the factors that affect the int...
By C.A. Anjana, T.Y. Ebenezer Paul Rajan
ANALYZING ZEN-C TOURIST ENGAGEMENT AND WINE TOURISM GROWTH AT SULA VINEYARDS AFTER THE PANDEMIC
This study analyzes the influence of Zen-C tourist engagement, a behavioral framework combining mindful, wellness-oriented travel preferences (Zen Factor) with post-pandemic safety and mobility adjustments (C Factor), on wine tourism growth at Sula Vineyards, India. Employing a quantitative cross-sectional design, primary data were collected via a ...
By S. Mahesh, R. Sangeetha
MECHANICAL ANALYSIS OF STRESS AND DEFORMATION IN LITHIUM BATTERY ELECTRODES DURING CHARGE–DISCHARGE CYCLES
Problem: Lithium-ion batteries are normally inhibited by mechanical degradation under the influence of diffusion that leads to rapid charging of the batteries. The non-uniform lithium concentration gradients, which trigger internal strain, bending, and interfacial failure, contribute to this problem in thick, porous electrodes. While these risks ar...
By Israa Meften Hashim
VILLAGE ROOMS AS LIVING HERITAGE ARCHITECTURAL SPACE SOCIAL MEMORY AND INTANGIBLE PRACTICES IN RURAL TÜRKIYE
Village rooms (KÖY ODALARI) in the village of SUSUZOSMANIYE/AFYONKARAHISAR are a significant feature of the rural heritage of Anatolia, combining architectural features and sociocultural values like hospitality, solidarity, collective memory, and local governance. Though the village rooms have been analyzed from an architectural and typologica...
By Melike Gürman, Şerife Ebru Okuyucu
A MACHINE LEARNING FRAMEWORK FOR EVALUATING CONSUMER PERCEPTIONS OF AI-GENERATED INFLUENCERS COMPARED TO HUMAN INFLUENCERS IN BRAND PROMOTION
The growing popularity of AI-generated virtual influencers on platforms like Instagram, TikTok, and YouTube has brought about changes in digital marketing through scalable and controllable promotion strategies for brands. Unfortunately, there is still a lack of quantitative models to help compare and measure consumer perceptions about AI-generated ...
By P. Saravanan, V.M. Shenbagaraman, Saravanan Devadoss, N. Arunfred
EXAMINING THE RELATIONSHIP BETWEEN ARTIFICIAL INTELLIGENCE AND EMPLOYEE WELL BEING IN CUSTOMER CENTRIC ORGANIZATIONS
AI is rapidly redefining how customer-oriented companies conduct their businesses through process automation, decision-making, and improved customer service. However, the influence of AI is lacking regarding employee well-being. This paper is focused on researching the connection between AI adoption and employee well-being by assessing the effects ...
By K.R. Sowmya, Bhuvaneswari Gowthaman, R. Santhiya, J. Sathish Kumar, R. Elavarasan
QUANTUM BOLTZMANN MACHINES FOR HIGH DIMENSIONAL FEATURE SELECTION AND SPARSE REPRESENTATION IN AUTISM SPECTRUM DISORDER CLASSIFICATION
The classification of ASD from neuroimaging and behavioral information has not been easy owing to factors such as high dimensionality, non-linearity, and overfitting, among others. In this research, propose an innovative framework based on QBMs for feature selection and efficient representation for ASD classification. QBMs have been used to leverag...
By V. John Peter, P. Renukadevi, S. Annamalai, P. Manikandan
PSYCHOLOGICAL FACTORS INFLUENCING TOURISM BUSINESS PROMOTION AND SALES WITH AN AI-ASSISTED PROMOTIONAL FRAMEWORK
In recent times, tourism organizations have been requiring personalized promotional plans based on the preferences, behavior, and psychology of tourists. Traditional methods of promotion often target larger customer segments, which may not always suit individual tourism contexts. In such scenarios, this study will try to bridge the gap by consideri...
By L. Chandni, R Sangeetha