COGNITIVE LOAD OPTIMIZATION IN AUGMENTED REALITY ASSISTED VOCABULARY ACQUISITION FOR NEURODIVERGENT LANGUAGE LEARNERS
Neurodivergent language learners, including those with differences in attention regulation, sensory processing, and other measures, typically experience higher levels of intrinsic and extraneous cognitive load during vocabulary acquisition, leading to poorer vocabulary retention and slower semantic integration. The proposed study applies the Cognit...
By Saida Makhkamova, Yulduz Mehmonova, Azizakhon Khoshimova, Sevara Zokirova, Dildora Nuraliyeva, Subhida Jabborova, Shaxodat Axmedova
LEXICOGRAPHIC BI-OBJECTIVE OPTIMIZATION FOR FRACTIONAL ORDER CONTROLLER TUNING IN GRID-CONNECTED STATCOM APPLICATIONS
Static Synchronous Compensators (STATCOMs) require precise controller tuning to maintain voltage stability in modern power grids. Fractional Order Proportional-Integral (FOPI) controllers offer enhanced flexibility over integer-order designs, yet existing tuning methods rely on weighted-sum formulations that conflate conflicting objectives through ...
By Rafid Ali Ridha Ibrahim, Anuar Mikdad Muad, Yushaizad Yusof
THE IMPACT OF CAPITAL STRUCTURE, OPERATIONAL EFFICIENCY, AND NON-INTEREST INCOME ON BANK PROFITABILITY IN VIETNAM
Profitability is considered an important indicator for the safety, efficiency, and sustainability of banking systems. The aim of the study is to remove the confusion concerning the effect of capital structure, operational efficiency, and non-interest income on the profitability of commercial banks in Vietnam. Utilizing quantitative research methods...
By Tran Thi Lan, Hoang Thi Bich Ha, Nguyen Anh Nguyet, Tran Van Hai
FORECASTING CONSUMER DEMAND AND ANALYZING THE IMPACT OF SOCIAL MEDIA INFLUENCER MARKETING ON BRAND EQUITY USING ARIMA AND SEM MODELS
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
IMPACT OF ASSET RESTRUCTURING ON FINANCIAL STABILITY AND BANK PERFORMANCE: EVIDENCE FROM THE INDIAN BANKING SECTOR USING DYNAMIC PANEL ANALYSIS
Asset restructuring has become a key tool for banks to deal with non-performing assets (NPAs) and sustain banking sector health, especially in emerging economies like India where the quality of assets is a persistent issue. This study examines the effect of asset restructuring on financial performance and financial stability of the Indian scheduled...
By T.M. Rajesha, Safika Praveen Sheikh
ACAPE-FID ADAPTIVE CONVOLUTION-ASSISTED POLAR ENCODER WITH FLEXIBLE ITERATIVE DECODING FOR HIGH-EFFICIENCY FPGA WIRELESS COMMUNICATION
Reliable wireless communication needs a highly efficient Forward Error Correction (FEC) technique in order to counter the effects of noise, interference, and losses. Most existing FEC techniques add too much redundancy and create extra latency, thereby reducing the efficiency of bandwidth utilization. Hence, the purpose of the current research is t...
By T. Ranjitha Devi, C. Kamalanathan
THE MEDIATING ROLE OF HOUSEHOLD EXPENSE REDUCTION IN THE RELATIONSHIP BETWEEN SUBSIDIZED POLICE CANTEEN AND SAVINGS BEHAVIOUR
The presence of subsidized welfare systems is also major determinants of household fiscal behaviour, especially among uniformed employees like police officers, whose choices about finances are determined by organized income distributions and professional limitations. This paper explores how subsidized police welfare canteens affect the financial be...
By M. Manoj Kumar, B. Devamaindhan, Y. Aysha Fathima, S. Akila, R. Gayathri
METAHEURISTIC-BASED OPTIMIZATION OF COMPOSER DEEP LEARNING MODELS FOR SEPSIS PREDICTION AND CLASSIFICATION
Heterogeneous, high-dimensional, and complex clinical data have remained a key challenge for early sepsis detection in intensive care units. This paper introduces a Hybrid GAP-HMSOA-GNN-COMPOSER architecture that incorporates a graph-based relational model and metaheuristic optimization to learn and generate accurate, reliable sepsis predictions. T...
By K. Sameera, P. Amudhavalli
HUMAN WELL-BEING, SYMBOLISM, AND ERGONOMIC ASPECTS OF ROCK ART AND NATURAL SHELTERS
Among the most important aspects of the cultural heritage of mankind, rock art and natural shelters have both aesthetic and practical purposes, as well as help to improve the psychological state, symbolic communication, and ergonomics. The paper examines rock art and natural shelters in three major frames, namely: (1) their symbolic and psychologic...
By Mehmet Sarıkahya, Serap Paçal, Ersan Sarikahya
DEVELOPING CROSS-CULTURAL COMMUNICATIVE COMPETENCE IN ADVANCED LANGUAGE LEARNERS THROUGH GENERATIVE AI-BASED SOCIO-PRAGMATIC SUPPORT
This paper examines the effectiveness of Generative AI (GenAI) as a socio-pragmatic aid that can improve Cross-Cultural Communicative Competence (CCCC) in advanced language learners (N = 80). Although such learners may be highly proficient in their language, A so-called pragmatic gap may also be faced in attempts to negotiate complex social interac...
By Temur Irmuxamedov, Jahongirmirz Maxmudov, Gulshan Ibragimova, Aziza Muminova, Alevtina Muradova, Fotima Safarova, Bayramdurdi Sapaev