Huaruo Chen^1,2, Gefan Wang¹, Hancai Qiu¹, Hui Ma¹, Zhentao Peng¹, Ruihan Liu³, Feng Xu^4,*

International Journal of Mental Health Promotion, Vol.28, No.1, 2026, DOI:10.32604/ijmhp.2025.073911 - 28 January 2026

Abstract Background: As an important indicator of subjective well-being (SWB), decent work is a key guarantee for the sustainable development of teachers and their psychological health and work quality. Faced with the rapid development of artificial intelligence and the global labor market, vocational college teachers are facing challenges such as workload pressure and limited career development, which may harm their well-being. This study aims to localize the measurement method of decent work in Chinese vocational education based on the theory of the Psychology of Working Theory, and explore the relationship mechanism between organizational support, career adaptability, decent… More >

Myunghoon Roh¹, Katalin Parti², Diego Gomez-Baya^3,*, Cheryl E. Sanders⁴, Elizabeth K. Englander⁵

International Journal of Mental Health Promotion, Vol.28, No.1, 2026, DOI:10.32604/ijmhp.2025.072605 - 28 January 2026

Abstract Background: Bullying is a current social and educational problem with detrimental consequences in adolescence and later life stages. Previous research has explored the risk or protective factor at different socio-ecological levels, but further integration is needed to examine the relationships of family characteristics. This study examines how parenting style and attachment relate to adolescents’ bullying and cyberbullying, and whether parental phubbing mediates these links. Methods: Grounded in social bonding theory, we surveyed a cross-sectional convenience sample of U.S. college students (N = 545; Mean_age = 19.60, SD = 1.41) who retrospectively reported middle/high-school experiences from Massachusetts, Colorado,… More >

Ke Shen^1,2,*, Dan Zeng^1,2, Changhao Wang¹, Lei Wang¹, Yuliang Dong¹

Frontiers in Heat and Mass Transfer, Vol.23, No.6, pp. 1957-1980, 2025, DOI:10.32604/fhmt.2025.070396 - 31 December 2025

Abstract Ice accretion on aircraft poses a critical threat to flight safety by significantly altering aerodynamic performance. This study presents a novel numerical framework for ice accretion prediction, developed by extending the Myers model and incorporating an advanced multi-step approach. The proposed framework integrates ice layer growth into the modeling of unsteady water film dynamics and introduces a revised criterion for determining the icing condition. A multi-step scheme, accounting for the continuous variation of physical parameters, is implemented to enhance computational accuracy. The framework is validated through simulations on both 2D and 3D configurations. For the… More > Graphic Abstract

Ling Li^1,#, Ninghui Xu^1,#, Wenjing Wang^2,*, Jianfen Ying^1,*

Journal of Psychology in Africa, Vol.35, No.6, pp. 833-842, 2025, DOI:10.32604/jpa.2025.071557 - 30 December 2025

Abstract This study explores the role of teachers’ professional identity (TPI) on employee learning engagement (LE), with mediation by basic needs satisfaction (BNS). Participants were 255 Chinese pre-service teachers (191 females = 74.9%, 16 freshmen = 6.2%, 135 sophomores = 52.9%, 35 juniors = 12.5%, 72 seniors = 28.2%). They completed surveys on the “QuestionStar” online survey platform and 12 of the teachers completed interviews for sharing their personal insights. The results of Structural Equation Modeling (SEM) indicated that teachers’ professional identity significantly predicted both learning engagement and basic needs satisfaction, with basic needs satisfaction partially More >

Manzhu Liao¹, Lan Yang¹, Liehua Tie¹, Qiqiang Guo^1,*, Weilie Zheng^2,*, Jiangrong Li², Yongxia Li²

Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3633-3652, 2025, DOI:10.32604/phyton.2025.072725 - 01 December 2025

Abstract Cupressus gigantea is an endemic endangered tree species in the Tibet Plateau, and studying the survival status of the different C. gigantea populations and revealing the main environmental factors that affect the population survival are particularly significant for the conservation and sustainable development of endangered species. Based on the 28 sample plots, the Hierarchical Cluster Method was used to classify the C. gigantea populations into four community types. Age structure diagrams were drawn based on the structure of each community, static life tables and survival curves were compiled, and the future development trends of each age group in… More >

Zhe He¹, Yaning Zhang^2,*

International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1747-1768, 2025, DOI:10.32604/ijmhp.2025.070491 - 28 November 2025

Abstract Background: Depression represents a significant global mental health burden, particularly among middle-aged and older Chinese with chronic diseases in high-altitude regions, where harsh environmental conditions and limited social support exacerbate mental health disparities. This paper aims to develop an interpretable machine learning prediction framework to identify the key factors of depression in this vulnerable population, thereby proposing targeted intervention measures. Methods: Utilizing data from the China Health and Retirement Longitudinal Study in 2020, this paper screened out and analyzed 2431 samples. Subsequently, Recursive Feature Elimination and Least Absolute Shrinkage and Selection Operator were applied to screen… More >

Huanfang Wang^1,*, Xinyi Li¹, Fangfang Zhao², Ximeng Cui³, Weijian Li⁴

International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1813-1827, 2025, DOI:10.32604/ijmhp.2025.069623 - 28 November 2025

Abstract Background: In China, the policy of rotating teachers between urban and rural schools has been implemented to reduce educational disparities and ensure equitable access to quality education. These teachers face unique professional and emotional challenges during the rotation process, making their emotional labor a critical factor influencing their job performance. This study aimed to explore the relationship between rotating teachers’ emotional labor strategies and job performance. Methods: This study conducted a cross-sectional survey among 577 rotating teachers selected through stratified random sampling from primary and secondary schools in mainland China. Date were collected using the Teacher… More >

Zhe Liu^1,2,3,*, Sijia Zhu⁴, Yulong Huang^1,*, Tapan Senapati^5,6,7, Xiangyu Li⁸, Wulfran Fendzi Mbasso⁹, Himanshu Dhumras¹⁰, Mehdi Hosseinzadeh^11,12,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2157-2188, 2025, DOI:10.32604/cmes.2025.072352 - 26 November 2025

Abstract Uncertainty and ambiguity are pervasive in real-world intelligent systems, necessitating advanced mathematical frameworks for effective modeling and analysis. Fermatean fuzzy sets (FFSs), as a recent extension of classical fuzzy theory, provide enhanced flexibility for representing complex uncertainty. In this paper, we propose a unified parametric divergence operator for FFSs, which comprehensively captures the interplay among membership, non-membership, and hesitation degrees. The proposed operator is rigorously analyzed with respect to key mathematical properties, including non-negativity, non-degeneracy, and symmetry. Notably, several well-known divergence operators, such as Jensen-Shannon divergence, Hellinger distance, and χ²-divergence, are shown to be special cases More >

Bibhuprasad Sahu¹, Amrutanshu Panigrahi², Abhilash Pati², Ashis Kumar Pati³, Janmejaya Mishra⁴, Naim Ahmad^5,*, Salman Arafath Mohammed⁶, Saurav Mallik^7,8,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 1029-1054, 2025, DOI:10.32604/cmes.2025.069618 - 30 October 2025

Abstract Metaheuristic optimization methods are iterative search processes that aim to efficiently solve complex optimization problems. These basically find the solution space very efficiently, often without utilizing the gradient information, and are inspired by the bio-inspired and socially motivated heuristics. Metaheuristic optimization algorithms are increasingly applied to complex feature selection problems in high-dimensional medical datasets. Among these, Teaching-Learning-Based optimization (TLBO) has proven effective for continuous design tasks by balancing exploration and exploitation phases. However, its binary version (BTLBO) suffers from limited exploitation ability, often converging prematurely or getting trapped in local optima, particularly when applied to… More >

Yusheng Jian, Xiujiang Shi^*, Xiaoxiao Li, Zehong Cai, Bailing Guan, Xiqun Lu

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.011085

Abstract The optimization of the lubricant supply quantity contributes to minimizing energy losses and wastage. Stearic acid is commonly used for boundary lubrication as an organic friction modifier. To enhance the performance of hydrodynamic bearings running with limited lubricant supply (LLS), under conditions of limited oil supply, the effect of stearic acid oiliness additive was studied on the relationship between oil film thickness of PAO10 (polyα-olefin) and inclination angle of the slider with an optical test rig for measuring the film lubrication in the slider-on-disc contact. The results showed that the film thickness presented an overall… More >