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
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
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
APPLYING THE 4PS MARKETING MODEL TO EVALUATE THE SUCCESS OF E-COMMERCE STRATEGIES IN CONSUMER RETENTION
This study examines how well e-commerce tactics work to encourage client retention in digital retail settings using the 4Ps Marketing Strategy (Product, Place, Price, and Promotion). The study addresses the gap of missing an integrated quantitative framework capable of systematically linking the conventional marketing mix dimensions with measurable...
By Arasuraja Ganesan, G.H. Kerinab Beenu, V. Aruna, K. Rajamani
GIS BASED URBAN LAND USE MAPPING AND PLANNING ASSESSMENT IN THE KINDA DISTRICT OF KUFA CITY
Urban land use maps give necessary information about the location and availability of different uses of lands in cities. Conventional mapping techniques take much time and money but with GIS techniques this process becomes quick and easier. This study examines the land uses of the Kinda district in Kufa city, Iraq, using GIS mapping techniques. The...
By Ahmed Yahya Abd Abbas, Safaa M. Almudhafar, Basim Almayyahi
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