Chun-Chieh Hu^1,*, Meixuan Li^1,2, Ruize Gao^1,2

International Journal of Mental Health Promotion, Vol.28, No.5, 2026, DOI:10.32604/ijmhp.2026.078559 - 28 May 2026

Abstract Backgrounds: The mental health consequences of social media use remain debated. Drawing on the “rich-get-richer” perspective, this study examines whether social media access interacts with perceived social resources to shape depression risk among Chinese students. Methods: We analyze nationally representative data from the 2020 and 2022 waves of the China Family Panel Studies (CFPS), constructing a two-period unbalanced student panel. High-dimensional fixed effects linear probability models are estimated with province and year fixed effects and province-specific linear trends. Mediation analyses follow the Baron and Kenny framework and are supplemented by Sobel-Goodman and bootstrap tests. Heterogeneity is… More >

Eungyeong Kim^*

International Journal of Mental Health Promotion, Vol.28, No.5, 2026, DOI:10.32604/ijmhp.2026.078353 - 28 May 2026

Abstract Background: Adolescents are highly exposed to digital food-related content, including mukbang videos, yet the psychological consequences of such exposure remain insufficiently understood. This study aimed to examine the association between mukbang viewing and anxiety among adolescents and to investigate the mediating roles of high-caffeine beverages and sugar-sweetened beverages intake. Methods: Data from 51,850 adolescents were drawn from the 2022 Korea Youth Risk Behavior Web-based Survey. Parallel mediation analyses were conducted using PROCESS Model 4 with 5000 bootstrap samples to assess whether the frequency of high-caffeine beverages and sugar-sweetened beverages consumption mediated the association between mukbang viewing… More >

Xingchen Zhu¹, Haohan Zhao^2,*, Wencan Li^3,*, Zixu Wang¹

International Journal of Mental Health Promotion, Vol.28, No.5, 2026, DOI:10.32604/ijmhp.2026.078033 - 28 May 2026

Abstract Backgrounds: Adolescent psychological well-being has become a pressing global concern, with rising levels of emotional distress among youth. Although prior research highlights the positive influence of teacher–student relationships, the underlying mechanisms—particularly the roles of school belonging, moral disengagement, and growth mindset—remain insufficiently understood. This study investigates the associations between teacher-student relationship quality and adolescent psychological well-being, examining school belonging and moral disengagement as potential mediators, and growth mindset as a moderator of these relationships. Methods: A total of 785 adolescents were recruited from six schools across Shanghai and Liaoning Province, China. Participants completed validated measures of… More >

Alberto Paramio¹, Antonio Zayas^2,*

International Journal of Mental Health Promotion, Vol.28, No.5, 2026, DOI:10.32604/ijmhp.2026.072688 - 28 May 2026

Abstract Background: The pervasive use of short-form video platforms such as TikTok has introduced unprecedented challenges to student attention, cognitive self-regulation, and academic performance. Recent interest has grown around “nudging” strategies, or non-coercive behavioral interventions, to help students regain control over their digital habits in educational settings. This review aims to (1) synthesize recent empirical evidence on the attentional and academic impact of problematic social media use (particularly TikTok) among students, (2) identify and classify nudging strategies that mitigate these effects, and (3) evaluate their relative effectiveness and practical application in educational contexts. Methods: A scoping review… More >

Manda Vais Jatul Fitri¹, Melbi Mahardika^2,3,4,*, Yuni Kusumastuti^1,*, Mochamad Asrofi⁵

Journal of Renewable Materials, Vol.14, No.5, 2026, DOI:10.32604/jrm.2026.02025-0197 - 28 May 2026

Abstract The development of seaweed-derived products, particularly carrageenan, is increasingly prioritized in Indonesia to support sustainability and strengthen the local economy. Despite extensive studies on carrageenan extraction, systematic comparisons between locally extracted carrageenan and specific local commercial products remain limited. This study addresses this gap by directly comparing carrageenan extracted from Eucheuma cottonii harvested in Lombok, Indonesia, with a locally produced commercial carrageenan as a quality benchmark. Carrageenan extraction was performed using alkaline KOH treatment followed by ethanol precipitation. The extracted carrageenan exhibited a relatively high viscosity (61.16 cP) and a low sulfate content (11.58%). FTIR analysis More >

Bo Yang^1,*, Chao Liu²

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.083726 - 27 May 2026

Abstract This article has no abstract. More >

Ji Su Park^1,*, Pan Yi², Jong Hyuk (James) Park³

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.083347 - 27 May 2026

Abstract This article has no abstract. More >

Irfan Saif Ud Din¹, Imran Siddique^2,3,4,5, Zohaib Zahid¹, Muhammad Nadeem⁶, Ibrahim Alraddadi^2,*, Taha Radwan^7,*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.081726 - 27 May 2026

Abstract This study examines the variable thermal conductivity and electroosmotic performance of Sutterby hybrid nanofluid (SBHNF) thin film flow over a stretched inclined sheet using an artificial neural network (ANN)-based on NARX (Multilayer Nonlinear Autoregressive Networks with Exogenous Inputs) multiple-layer backpropagation simulation with the Levenberg-Marquardt algorithm (LMA). AA7075 and AA7072 nanoparticles suspended in sodium alginate (SA) base fluid make up the hybrid nanofluid (HNF), which was selected due to its improved heat transfer properties and superior thermal conductivity. The model’s practical applicability is enhanced by melting heat, nonlinear thermal radiation, boundary slip, and Newtonian heating effects,… More >

Ronak Patel¹, Miral Patel², Deep Kothadiya³, Noor A. Khan⁴, Shaha Al-Otaibi^5,*, Roaa Khalil Mohamed Ali Abed⁶, Tanzila Saba⁷

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.080819 - 27 May 2026

Abstract Magnetic resonance imaging (MRI) is widely utilized for brain tumor segmentation, yet significant challenges persist due to intensity variations, irregular boundaries, and substantial morphological heterogeneity. Current state-of-the-art deep learning methods often struggle to capture long-range spatial dependencies, delineate fine boundary details, and efficiently process 3D volumetric data. This study introduces a novel hybrid framework that integrates state-space models with frequency-domain learning to address these limitations. The proposed model offers four primary contributions: (1) incorporation of a morphological attention block in the encoder to enhance boundary localization via dilation-erosion gradient modeling; (2) a dual-domain bottleneck module… More >

Manal Mohammed AL-Tamimi^1,2,*, Siti Norul Huda Sheikh Abdullah^1,*, Mohammad Khatim Hasan¹, Mohammed Azmi Al-Betar^3,4, Maw Shin Sim⁵, Abdulrahman Mohammed AL-Tamimi¹

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.079891 - 27 May 2026

Abstract Pan-cancer survival prediction remains a major challenge in personalized oncology due to profound tumor heterogeneity and the complexity of high-dimensional molecular data. Diverse risk profiles across cancer types and noisy, sparse features hinder deep learning models from capturing robust prognostic patterns. Prior pan-cancer studies predominantly focus on multimodal integration or unimodal gene expression analysis, leaving other informative modalities such as Copy Number Variation (CNV) and miRNA expression underexplored. We introduce a new formulation of mixture-of-experts (MoE) survival modeling that recasts expert assignment as a clinically interpretable risk-space decomposition problem. The proposed framework, CoxGuided-SE, constructs an… More >