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
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
SPATIAL DISTRIBUTION AND DETERMINANTS OF AUTISM SPECTRUM DISORDER AMONG CHILDREN IN BABYLON GOVERNORATE, IRAQ: A GIS-BASED EPIDEMIOLOGICAL STUDY
Autism Spectrum Disorder (ASD) is a major neurodevelopmental disorder with a growing global incidence, and needs to be better understood in terms of its spatial patterns and risk factors to inform health policy. This study conducted a spatial-statistical analysis to detect spatial patterns and factors of ASD in children under 15 years in Iraq's Bab...
By Maysaa Y Al-Dujaili, Jawad K Al-Hasnawi, Arafat H Al-Dujaili
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
POST-MERGER INTEGRATION STRATEGIES AND THEIR INFLUENCE ON EMPLOYEE ADAPTABILITY AND ORGANIZATIONAL RESILIENCE IN THE IT SECTOR: A STRUCTURAL MODEL APPROACH
Mergers and Acquisitions (M&A) have been found to be one of the major strategies used in achieving growth, innovation, and competition within the IT industry. Nonetheless, most of the previous studies have focused either on the impact of M&As from the point of view of financial performance or the perspective of employees. The current resear...
By Madhan Shanmugasundaram, P. Saravanan, V. M. Ponniah
A METAHEURISTIC-DRIVEN INTELLIGENT MPPT AND MULTI-SOURCE DC–DC CONVERTER ARCHITECTURE FOR SIMULTANEOUS MAXIMUM POWER EXTRACTION IN HYBRID PV AND WIND ENERGY SYSTEMS
Incorporation of renewable energy resources in contemporary electricity generation systems has led to major difficulties in attaining effective energy harnessing, constant voltage regulation, and efficient power management amid varying environments. Traditional Maximum Power Point Tracking (MPPT) strategies, like the Perturb & Observe (P&O)...
By Haritha Inapagolla, R. Ashok Bakkiyaraj, Katragadda Swarnasri
A HYBRID ENSEMBLE–DEEP LEARNING SYSTEM FOR MULTI-CROP RECOMMENDATION USING LIGHTGBM, CATBOOST, AND MLP
It is essential in the context of precision agriculture to be able to give accurate advice about the types of crops to grow, as the suitability of a crop depends on the complicated, nonlinear interactions between soil fertility, nutrient levels, and climatic conditions. Although the existing body of literature currently evaluates each recommender s...
By B. Ammanni, Sreerama Murty Maturi
A STUDY ON THE AESTHETICS OF NATIONAL HOLIDAYS REFLECTING THE HARMONY OF TRADITION AND MODERNITY
National holidays can be seen as concentrated aesthetic events where traditional symbolic systems meet the contemporary systems of staging, media, and design. The current study explores how the visual, ritual, and spatial language of national holidays is transformed in the encounter of traditional and contemporary ways of presentation, and suggests...
By Gulchehra Shadimetova, Shavkat Sharipov, Ziyoda Sagatova, Nargizakhon Niyazakhunova, Akbar Nurmatov, Gulxayo Ravshanova, Khadicha Fayziyeva