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Video conferencing services have become an essential part of modern digital life, especially in the world of remote work. Video conferencing platforms allow people to stay connected and collaborate effectively. This stud...

The Theory of Planned Behavior (TPB) is a widely applied theoretical framework for predicting individual intentions and behaviors. However, its application in the knowledge payment domain remains limited. Existing studie...

This study provides a quantitative framework for wellbeing outcome prediction through intentional cognitive pattern alteration. We demonstrated 81.67% accurate prediction of wellbeing states, in a three-level classificat...

In recent decades, the design and construction of residential complexes in many cities have prioritized quantity over quality. This disregard for physical quality has reduced housing to a purely quantitative and market-d...

Cross-city transfer learning (CCTL) has emerged as a crucial approach for managing the growing complexity of urban data and addressing the challenges posed by rapid urbanization. This paper provides a comprehensive revie...

This study aims to analyze the transformation of Islamic law in response to the growing influence of digital behaviorism within modern Muslim communities, particularly through behavioral patterns observed on social media...

The aim of this article is to evaluate the effectiveness of gamification marketing strategies in territory branding and to determine their impact on consumer behavior. It has been established that one of the key challeng...

The paper examines the risk and return characteristics of four distinct (idiosyncratic) momentum factors, as well as their time-varying exposures to common risk factors. The research demonstrates that applying more advan...

The article presents the results of a comprehensive study of the psychological specifics of the impact of sexual violence experiences on the formation and manifestation of life scripts in middle-aged women. The relevance...

Car-following models (CFMs) are fundamental to traffic flow analysis and autonomous driving. Although calibrated physics-based and trained data-driven CFMs can replicate human driving behavior, their reliance on specific...