Asian University

Amid digital overload and rising anxiety, this article argues for integrating health-preserving technologies into language and literature teaching. We detail kinesiology, breathing exercises, rhythmoplastics, art-therapy practices, gamification, multimodal learning, and shadow reading. A pedagogical model—“Smart Word & Living Movement”—combines cognitive work with gentle motor and respiratory activity. The methodological frame draws on health-promoting pedagogy, Universal Design for Learning, and WHO/UNESCO Health-Promoting Schools standards. Expected effects include higher motivation and attention, reduced fatigue and anxiety, better reading fluency and textual interpretation, and stronger vocal stamina. School pilots show practical feasibility: two to three micro-breaks of 60–90 seconds, short role-plays, and 4-4-4-4 box breathing. Effectiveness is monitored via engagement rates, VAS-fatigue, words-per-minute, and mood ratings across classes and grade levels.

The rapid growth in adoption of artificial intelligence (AI) for decision-making processes, administrative functions and academic services has created an environment of rapid change throughout the university setting. As technology advances, concerns surrounding transparency, fairness and accountability of algorithms also arise; these issues affect how employees of universities perceive and trust AI systems. Research on AI governance and trust in organisations will be utilised in this study to explore how transparency and communication among leaders impact employee trust in AI as a governance tool within universities. Data from academic and administrative staff from universities that are currently undergoing transformation through digitalisation influenced by AI will be analysed using a structural equation modelling (SEM) method. The study will propose that algorithm transparency has both a direct and indirect positive correlation to employee trust through perceived organisational fairness. Additionally, the relationship between algorithm transparency and employee trust will be moderated by leader communication through reducing uncertainty and creating understanding of AI as a decision tool. Overall, this research is intended to advance the body of literature related to human-centred governance of AI by identifying socio-organisational mechanisms through which employee trust in AI systems develops. Furthermore, it will provide university leaders and policymakers with actionable recommendations for creating responsible governance structures for AI that prioritise transparency, communication and employee participation. By evaluating individual level trust related to the ethical implementation of AI at universities, our research will assist universities in understanding how they can balance their drive towards innovation through technology and caring for people.

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Obesity represents a significant global health challenge and is closely linked to the prevalence of metabolic syndromes and liver disorders. In Taiwan, the Ministry of Health and Welfare has instituted specific evaluation protocols for functional foods to mitigate body fat accumulation, underscoring mechanisms beyond caloric restriction. The present study sought to assess the anti-adipogenic and metabolic effects of pterostilbene (PTS) using a rat model of high fat diet (HFD)-induced obesity, in compliance with Taiwan's regulatory standards for health claims about "difficult-to-form body fat". Male Sprague-Dawley (SD) rats were fed a HFD for six months to induce obesity. Subsequently, the SD rats were administered PTS orally at dosages of 30 or 50 mg/kg/day for 45 days. This study evaluated various parameters, including body weight, food intake, feed efficiency, body fat percentage, liver weight, and serum biochemical markers. Forty-five day 30 and 50 mg/kg PTS oral treatment significantly reduced body weight gain, food intake, and feed efficiency (all p<0.05). Remarkably, over 70% of the rats exhibited reduction in body fat exceeding 0.02%, meeting the established regulatory efficacy standards. Furthermore, notable improvements were observed in the aspartate aminotransferase (AST), alanine aminotransferase (ALT), triglycerides (TG), total cholesterol (TC), and glucose (GLU) levels (all p<0.05). PTS is a promising natural compound for the formulation of health foods aimed at enhancing fat metabolism and providing liver protection. The observed effects are consistent with physiological expectations and aligned with the regulatory efficacy criteria established in Taiwan.

The Hirota–Maccari (HM) system is a fundamental model in wave propagation that has been widely utilized to investigate complex nonlinear phenomena in nonlinear optics, optical communications, and mathematical physics. The HM system sheds light on critical insights into soliton dynamics, wave interactions, and other nonlinear effects. Therefore, the main goal of this work is to compile new soliton structures to the HM system in hyperbolic, trigonometric, exponential, and rational forms, both single and combined version, by using three robust analytical approaches: the new extended rational sinh‐Gordon equation expansion method (ShGEEM), the ( G ′ / G , 1/ G )‐expansion method, and the new extended hyperbolic function method (EHFM). The solutions thus obtained are also tested for their validity and accuracy using Mathematica. In order to exhibit the physical properties of the soliton pulses, we depict 2D, 3D, and contour graphs by using suitable values of the parameters. These methods play a major role compared with other methods in the literature because new and more general solutions are obtained with additional free parameters. Remarkably, all the known solutions are special cases of our generalized solutions. An important feature of the proposed methods is their simplicity, robustness, and computational efficiency that can be widely extended to nonlinear partial differential equations in all scientific disciplines. The efficiency of this framework thus indicates at its application in addressing complicated problems in the future.

Chronic kidney disease (CKD) is a global health issue with widespread implications for public health. Primarily stemming from non-communicable diseases such as hypertension, heart disease, stroke, and diabetes, Studies have shown that in the eastern economic corridor there is a high risk of chronic non-communicable diseases has seen a substantial increase in mortality. Researchers have developed the 'Ticare' mobile health application (mHealth) for CKD patients. The primary objective of this research is to create a model mHealth app focusing on improving public access to healthcare. Data collection for app development was carried out through surveys, interviews, and insights from healthcare experts. The 'Ticare' app is compatible with all operating systems and offers key functionalities, including a disease news information system, hospital search and navigation, online service reservation, telemedicine, in-app medication ordering, and data visualisation. The satisfaction survey involving 400 participants revealed a high level of user satisfaction.

With much of higher education moving to higher technology through digitalization due partly to the increased levels of remote working/hybrid work and to also much greater acceptance of the use of advanced AI technologies and their integration into everyday practices within universities, digital leadership has changed completely and is now part of the new model of employee experience in higher education. Digital leadership is understood to play a critical role in determining an employee's psychological and behavioural wellness in higher education. Previous studies have explored the relationship between hybrid work and employee outcomes; however, the literature does not fully consider how digital leadership impacts employee psychological and behavioural wellness in academic institutions. The purpose of this study is to explore the relationship between digital leadership and employee thriving based on the mediating effect of psychological safety and the moderating influences of employee readiness to use artificial intelligence (AI). The research is based on Social Exchange Theory (SET) and the Job Demands Resources (JD-R) Framework to propose that digital leaders who effectively use digital tools, practice open and honest communication, and encourage creation/innovation are thereby developing a workplace culture that has psychological safety at its core and provides a thriving environment for employee engagement through empowerment from improved learning and vitality. Using a quantitative research approach to obtain survey data from informal and formal staff in hybrid university settings, structural equation modelling (SEM) will be used to determine the statistical significance of the relationships proposed in the study. The expected findings from the study are that psychological safety will entirely mediate the relationship between digital leadership and employee thriving but that AI readiness will significantly strengthen the relationship between digital leadership and employee thriving. The findings of this study provide new empirical support to the growing body of literature regarding digital leadership and hybrid work arrangements in higher education and provide practical implications for digital leaders in higher education who are focused on creating and sustaining employee well-being and performance in digitally enabled workplaces.

The purpose of this work is to explore precise solutions, particularly soliton solutions, by fractionally analyzing the multicomponent Gross–Pitaevskii problem, a basic nonlinear Schrödinger equation. Soliton solutions are essential for comprehending the complex system dynamics, providing insight into superfluidity, superconductivity, and related nonlinear effects. The complex fractional Gross–Pitaevskii equation is solved by considering the beta-derivative. Numerous optical solutions, including trigonometric, hyperbolic, rational function, and complex multiple soliton structures, are achieved by using elegant integration methods. All reported solutions are verified using the Wolfram Mathematica program by putting back-substitution into the governing equation. The novel solutions are acquired, capitalizing on the new extended hyperbolic function method (EHFM) and the unified method that holds significant implications across various scientific disciplines. Furthermore, we portray various wave profiles with the corresponding parametric values under the influence of beta-derivative. This visualization style enhances our understanding of the acquired solutions and facilitates a thorough examination of their potential practical applications. By engaging the aforementioned cutting-edge methods, we obtain an effective framework for analyzing the complex nonlinear phenomena that emerge in several physical contexts.