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

This paper explores the mediation effect of risk perception between demographic characteristics and motorized vehicle users' driving behavior in Indonesia. Driving behavior was evaluated on three categories: violation, error and lapse. A Partial Least Squares Structural Equation Modeling (PLS-SEM) was used for data analysis, which was carried out o...

By Bambang Hermanto, Leksmono Suryo Putranto, Dadang M. Ma'soem

The increasing integration of Distributed Energy Resources (DERs) within modern power systems requires Virtual Power Plants (VPPs) to adopt intelligent, adaptive, and scalable scheduling mechanisms to ensure efficient, reliable, and economically optimal operation. This research proposes a hybrid reinforcement learning–based framework that com...

By Srinivasa Rao Sureddy, Nageswara Rao Pulivarthi

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

The Timurid period (1370–1507) was a foundational age in the history of Central Asian monumental architecture, an age that was marked by outstanding architectural accomplishment and the intersection of Persian, Mongol, and Islamic artistic cultures. This research examines the historical context, cultural significance, and innovative strategie...

By Nodira Nurullayeva, Abdurahim Mannonov, Nodira Babadjanova, Nasiba Isakhojaeva, Maqsad Maytakubov, Gulzoda Tashmatova, Khikmatoy Madikhanova

Due to the variable resource availability and diverse user needs, efficient task scheduling in cloud computing has become increasingly important. This study introduces GA-PSO-Min, a novel approach that synergistically combines genetic algorithms (GA), particle swarm optimization (PSO), and Min-Min strategy to improve scheduling efficiency in cloud ...

By Vahid Mokhtari, Nasser Mikaeilvand, Abbas Mirzaei, Babak Nouri-moghaddam, Sajjad Jahanbakhsh Gudakahriz

The recent advancement in e-learning systems has highlighted the need for more tailored and effective methods of assessment. The e-learning system has become increasingly common in society; however, it comes with its own unique challenges. This study explores the development of an adaptive testing framework implemented in Python, utilizing algorith...

By Ankita Sappa

Given the complexity and multifaceted nature of the financial markets, effective aggregation of financial time series data underscores the optimization of predictive modeling in the finance industry. This research presents an innovative approach to clustering using auto encoders designed to distill informative representations out of S&P 500 fin...

By M. Sravan Kumar Reddy, C. Supraja