Yong Li, Yuxuan Chen^*, Jiahui He, Guowei He, Chenxi Dai, Jingjing Tong, Wenting Lei

Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.069257 - 27 December 2025

Abstract Ensuring reliable power supply in urban distribution networks is a complex and critical task. To address the increased demand during extreme scenarios, this paper proposes an optimal dispatch strategy that considers the coordination with virtual power plants (VPPs). The proposed strategy improves system flexibility and responsiveness by optimizing the power adjustment of flexible resources. In the proposed strategy, the Gaussian Process Regression (GPR) is firstly employed to determine the adjustable range of aggregated power within the VPP, facilitating an assessment of its potential contribution to power supply support. Then, an optimal dispatch model based on More > Graphic Abstract

Kwok Tai Chui^1,*, Varsha Arya¹, Brij B. Gupta^2,3,4,*, Miguel Torres-Ruiz⁵, Razaz Waheeb Attar⁶

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-23, 2026, DOI:10.32604/cmc.2025.068842 - 10 November 2025

Abstract Parkinson’s disease (PD) is a debilitating neurological disorder affecting over 10 million people worldwide. PD classification models using voice signals as input are common in the literature. It is believed that using deep learning algorithms further enhances performance; nevertheless, it is challenging due to the nature of small-scale and imbalanced PD datasets. This paper proposed a convolutional neural network-based deep support vector machine (CNN-DSVM) to automate the feature extraction process using CNN and extend the conventional SVM to a DSVM for better classification performance in small-scale PD datasets. A customized kernel function reduces the impact… More >

Tianyu Zhao¹, Xiaoli Zhao², Kenny S. L. Cheah^3,*, Ye Zhang³

International Journal of Mental Health Promotion, Vol.27, No.12, pp. 2023-2038, 2025, DOI:10.32604/ijmhp.2025.071322 - 31 December 2025

Abstract Background: Despite access to university counseling services, many students underutilize them due to cultural stigma, language barriers, and perceived irrelevance. As a result, ChatGPT has emerged as an informal, always-available support system. This study investigates how international PhD students in Malaysia navigate loneliness, mental well-being, and social disconnection through interactions with Generative AI (mainly ChatGPT. Methods: Using a mixed-methods design, the study surveyed 155 international doctoral students and analyzed quantitative responses across four dimensions: loneliness, well-being (WHO-5), perceived social support, and AI-facilitated emotional support. Additionally, open-ended responses were examined using Latent Dirichlet Allocation (LDA) to identify… More >

Jing Wu^1,2,*, Yuan Gao², Quanlu Hao², Zhun Liu³, Weijie Meng¹

Journal of Psychology in Africa, Vol.35, No.6, pp. 871-876, 2025, DOI:10.32604/jpa.2025.075981 - 30 December 2025

Abstract This study employed a longitudinal approach to investigate how positive feedback and social support mediate the connection between active social network use and feelings of loneliness. A total of 811 college students (females = 58.20%, M_age = 19.15, SD = 0.99) participated in this research study. At T1 time point, students completed the Active SNS Questionnaire. At T2 time point, students completed the online versions of the Positive Feedback Scale, Perceived Social Support Multidimensional Scale, and UCLA Loneliness Scale. T2 online positive feedback influences how T1 actively uses their social network, which relates to T2 loneliness, More >

Wenjie Qiu¹, Jiyuan Wang², Zheng Zhang^3,*

Journal of Psychology in Africa, Vol.35, No.6, pp. 815-823, 2025, DOI:10.32604/jpa.2025.070151 - 30 December 2025

Abstract This study examined emotional exhaustion and family support in the relationship between leader workaholism and employee work fatigue. The participants were 408 employed adults (74% female, age range 25 to 27 years) across five industries: sales (31.65%), finance (25.32%), education (20.25%), public administration (12.66%), and technology (10.13%), from 79 work teams in China. Survey data were collected at three time points over a three-month period. The results from structural equation modeling indicated that leader workaholism was associated with higher employee work fatigue. Emotional exhaustion mediated the relationship, contributing to higher levels of employee fatigue. Furthermore, More >

Michał Guminiak¹, Marcin Kamiński^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3133-3163, 2025, DOI:10.32604/cmes.2025.071887 - 23 December 2025

Abstract The analysis of the dynamics of surface girders is of great importance in the design of engineering structures such as steel welded bridge plane girders or concrete plate-column structures. This work is an extension of the classical deterministic problem of free vibrations of thin (Kirchhoff) plates. The main aim of this work is the study of stochastic eigenvibrations of thin (Kirchhoff) elastic plates resting on internal continuous and column supports by the Boundary Element Method (BEM). This work is a continuation of previous research related to the random approach in plate analysis using the BEM.… More >

Igor Musikhin^*

Revue Internationale de Géomatique, Vol.34, pp. 939-957, 2025, DOI:10.32604/rig.2025.071168 - 09 December 2025

Abstract Urban environmental quality research is crucial, as cities become competitive centers concentrating human talent, industrial activity, and financial resources, contributing significantly to national economies. Municipal and government priorities include retaining residents, preventing skilled worker outflow, and meeting the evolving needs of urban populations. The study presents the development and application of a scenario-based spatial analysis tool for assessing urban environmental quality at a detailed spatial scale within the city of Novosibirsk. Using advanced geoinformatics, GIS techniques, and an expert knowledge base, the tool integrates diverse thematic data layers with user-defined scenarios to compute and visualize… More >

Daskshnamoorthy Manivannan^*

Journal of Cyber Security, Vol.7, pp. 505-531, 2025, DOI:10.32604/jcs.2025.072810 - 28 November 2025

Abstract Attribute-Based Encryption (ABE) secures data by linking decryption rights to user attributes rather than user identities, enabling fine-grained access control. While ABE is effective for enforcing access policies, integrating it with Searchable Encryption (SE)—which allows searching encrypted data without decryption—remains a complex challenge. This paper presents a comprehensive survey of ABE schemes that support SE proposed over the past decade. It critically analyzes their strengths, limitations, and access control capabilities. The survey offers insights into the security, efficiency, and practical applicability of these schemes, outlines the current landscape of ABE-integrated SE, and identifies key challenges More >

Gwang-Soo Oh^1,#, Je-Seong Lee^2,#, Myeong-Hun Bae^3,*

International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1729-1745, 2025, DOI:10.32604/ijmhp.2025.071944 - 28 November 2025

Abstract Background: With the rapid growth of digital learning environments, esports has emerged as a popular form of school-based activity that promotes teamwork, motivation, and engagement. However, limited research has examined how participation in esports relates to students’ psychological and academic development. To address this gap, the present study identified structural relationships between perceived psychological well-being, social support, academic engagement, and school-life satisfaction among students participating in school-based esports activities. Methods: We surveyed 588 students who competed in on-campus esports tournaments across 15 secondary schools in Gwangju Metropolitan City, South Korea. Psychological well-being, social support, academic engagement,… More >

Wei Zhu, Yan Song, Di Chen, Huimin Chen, Dingding Zhang, Lu Chen^*

International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1681-1694, 2025, DOI:10.32604/ijmhp.2025.070461 - 28 November 2025

Abstract Objectives: Fear of recurrence (FoR) is a common psychological burden in cerebral glioma patients. Spousal emotional support and self-disclosure may help mitigate FoR, yet their roles in this population are unclear. This study aimed to explore the association between FoR, spousal emotional support, and self-disclosure in patients with cerebral glioma. Methods: Patients with cerebral glioma were assessed using the Fear of Progression Questionnaire-Short Form (FoP-Q-SF), Perceived Social Support Scale (PSSS), Distress Disclosure Index (DDI), and Acceptance and Action Questionnaire (AAQ). Pearson correlation analysis was conducted to examine the relationships among the scale scores, while multiple linear… More >