Jia Wu^1,#, Wei Luo^2,#, Qianguo Xiao¹, Qinhong Xie¹, Xiaodong Li¹, Taiyong Bi^1,*, Hui Kou^1,*

Journal of Psychology in Africa, DOI:10.32604/jpa.2026.072761

Abstract This study examines the mediating role of positive psychological capital and the moderating role of ethnicity in the relationship between mindfulness and internalizing/externalizing problems among adolescents. The study sample comprized Chinese adolescents (N = 637 ethnic minority; females = 40.97%, meam age = 12.68, SD = 0.49 years; N = 636 Han; females = 49.06%, mean age = 12.71, SD = 0.47 years). The participants completed the Child and Adolescent Mindfulness Measure, the Positive Psycap Questionnaire, and the Youth Self-Report. Results from the moderated mediation analysis showed mindfulness was negatively associated with both internalizing and externalizing More >

Mahmut Selçuk^1,*, Fulden Cantaş Türkiş², Fatma Taşkın Koca³, Volkan Dizman⁴, Sevilay Yerlikaya Boz⁴

International Journal of Mental Health Promotion, DOI:10.32604/ijmhp.2026.076391

Abstract Background: Self-esteem, life satisfaction, resilience, and coping strategies are closely linked to depression; however, their interrelationships and relative contributions to depressive outcomes remain insufficiently understood. This study aimed to examine these associations in individuals with major depressive disorder (MDD) and healthy controls and to evaluate their predictive and mediating roles in depression. Methods: This analytical cross-sectional study included 311 participants (158 patients with MDD and 153 healthy controls) recruited from the Psychiatry Outpatient Clinics of Mugla Training and Research Hospital. Psychiatric diagnoses were confirmed using the Structured Clinical Interview for DSM-5 (SCID-5). Groups were balanced for… More >

Fankun Meng^1,2,3, Yuyang Liu^1,2,*, Xiaohua Liu⁴, Chenlong Duan^1,2, Yuhui Zhou^1,2,3

FDMP-Fluid Dynamics & Materials Processing, DOI:10.32604/fdmp.2026.075865

Abstract Carbonate gas reservoirs are often characterized by strong heterogeneity, complex inter-well connectivity, extensive edge or bottom water, and unbalanced production, challenges that are also common in many heterogeneous gas reservoirs with intricate storage and flow behavior. To address these issues within a unified, data-driven framework, this study develops a multi-block material balance model that accounts for inter-block flow and aquifer influx, and is applicable to a wide range of reservoir types. The model incorporates inter-well and well-group conductive connectivity together with pseudo–steady-state aquifer support. The governing equations are solved using a Newton–Raphson scheme, while particle More > Graphic Abstract

Yang Zhang¹, Xiaoping Yang¹, Yalan Zhang¹, Mingzhe Han¹, Jiayi Sun², Zhengsheng Xia^3,*

FDMP-Fluid Dynamics & Materials Processing, DOI:10.32604/fdmp.2026.075388

Abstract Self-suspended proppants, which enable clear-water fracturing, represent a promising new class of materials for reservoir stimulation. Given the economic limitations associated with their exclusive use, this study investigates proppant transport behavior in hybrid systems combining self-suspended proppants with conventional 40/70 mesh quartz sand at various mixing ratios. A dedicated experimental apparatus was developed to replicate field-relevant complex fracture networks, consisting of a main fracture and two branching fractures with different deflection angles. Using this system, sand bank formation and proppant distribution were examined for both conventional quartz sand fracturing and fracturing augmented with self-suspended proppants.… More >

Yanzhao Yang¹, Kai Yang², Junwei Zhang³, Fengsuo Jiang¹, Sheng Xu¹, Lei Chen⁴, Jun Bai⁵, Luyi Lu⁵, Hua Ji⁵, Zhihao Jing⁵, Senhao Wang¹, Jingjing Zheng¹, Haifeng Zhai^1,*

FDMP-Fluid Dynamics & Materials Processing, DOI:10.32604/fdmp.2026.075227

Abstract The low-pressure and low-density conditions encountered at high altitudes significantly reduce the operating Reynolds number of micro radial-flow turbines, frequently bringing it below the self-similarity critical threshold of 3.5 × 10⁴. This departure undermines the applicability of conventional similarity-based design approaches. In this study, micro radial-flow turbines with rotor diameters below 50 mm are investigated through a combined approach integrating high-fidelity numerical simulations with experimental validation, aiming to elucidate the mechanisms by which low Reynolds numbers influence aerodynamic and thermodynamic performance. The results demonstrate that decreasing Reynolds number leads to boundary-layer thickening on blade surfaces, enhanced More >

Luiz Tadeu Dias Júnior, Rafaelle Piazzaroli Finotti, Flávio de Souza Barbosa^*, Alexandre Abrahão Cury

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2026.075433

Abstract Structural Health Monitoring (SHM) plays a critical role in ensuring the safety, integrity, longevity and economic efficiency of civil infrastructures. The field has undergone a profound transformation over the last few decades, evolving from traditional methods—often reliant on visual inspections—to data-driven intelligent systems. This review paper analyzes this historical trajectory, beginning with the approaches that relied on modal parameters as primary damage indicators. The advent of advanced sensor technologies and increased computational power brings a significant change, making Machine Learning (ML) a viable and powerful tool for damage assessment. More recently, Deep Learning (DL) has More >

Nagwan Abdel Samee¹, Ahmed Fathy^2,*, Mohamed A. Mahdy³, Maali Alabdulhafith¹, Essam H. Houssein^4,5

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.069931

Abstract This research proposes an improved Puma optimization algorithm (IPuma) as a novel dynamic reconfiguration tool for a photovoltaic (PV) array linked in total-cross-tied (TCT). The proposed algorithm utilizes the Newton-Raphson search rule (NRSR) to boost the exploration process, especially in search spaces with more local regions, and boost the exploitation with adaptive parameters alternating with random parameters in the original Puma. The effectiveness of the introduced IPuma is confirmed through comprehensive evaluations on the CEC’20 benchmark problems. It shows superior performance compared to both established and modern metaheuristic algorithms in terms of effectively navigating the… More >

Qian Hu, Lei Tan^*, Qingjun Yuan, Zong Zuo, Yan Li

CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2026.076137

Abstract Multi-behavior recommendation methods leverage various types of user interaction behaviors to make personalized recommendations. Behavior paths formed by diverse user interactions reveal distinctive patterns between users and items. Modeling these behavioral paths captures multidimensional behavioral features, which enables accurate learning of user preferences and improves recommendation accuracy. However, existing methods share two critical limitations: (1) Lack of modeling for the diversity of behavior paths; (2) Ignoring the impact of item attribute information on user behavior paths. To address these issues, we propose a Directed Behavior path graph-based Multi-behavior Recommendation method (DBMR). Specifically, we first construct… More >

Semin Lee^1,2,#, Minjun Kim^3,4,#, Seungmin Lee^2,5, Jiyun Yoo^1,5, Soo Seok Hwang^6,7, Seongchan Kim⁸, Seung Pil Yun^9,10, Dong Kyu Choi^11,12,*, Sangdun Choi^13,14,*, Hyuk-Kwon Kwon^1,2,5,*

BIOCELL, DOI:10.32604/biocell.2026.074555

Abstract Objective: Cisplatin is a widely used chemotherapeutic agent due to its ability to damage DNA in the treatment of cancer. However, its clinical application is often limited by adverse effects on normal tissues, especially the kidneys. Understanding the molecular mechanisms of cisplatin-induced nephrotoxicity is crucial for developing strategies to mitigate its side effects. In this study, we aimed to elucidate the molecular mechanisms underlying cisplatin-induced DNA damage and apoptosis in human renal epithelial cells, with a focus on key signaling pathways and mediators that drive nephrotoxicity. Methods: To explore these mechanisms, human proximal tubule epithelial… More >

Yiran Dong¹, Jingyue Wang¹, Jiayang Chen², Liang Mo², Yong You^1,*

Oncology Research, DOI:10.32604/or.2026.075191

Abstract Background: Lung adenocarcinoma (LUAD), the most prevalent histological subtype of lung cancer, remains a leading cause of cancer-related mortality due to late diagnosis, metastasis, and therapy resistance. The aim of the study is to investigate the role of Kinetochore Scaffold 1 (KNL1) in promoting LUAD progression and its underlying molecular regulatory mechanisms. Methods: KNL1 mRNA expression levels across 33 cancer types were analyzed using bioinformatics analysis based on the TCGA database. Immunohistochemistry (IHC) was used to assess KNL1 expression in LUAD and normal tissues. Stable KNL1-knockdown and KNL1-overexpressing LUAD cell lines were established using lentiviral… More >