Yao-Chung Cheng^1,2, Der-Fa Chen^3,*, Kai-Jie Chen⁴, Kun-Yi Chen⁵, Wen-Ling Ke⁶, Xie-Chuan Qiu⁶, Min-Han Chung⁶

International Journal of Mental Health Promotion, Vol.28, No.4, 2026, DOI:10.32604/ijmhp.2026.077564 - 28 April 2026

Abstract Objectives: Smartphone addiction has become a salient mental health concern among university students. Although the Big Five personality traits are associated with problematic smartphone use, less is known about the psychological mechanisms linking personality to addictive smartphone behavior. This study examined whether mindfulness functions as a self-regulatory mechanism linking personality traits to smartphone addiction. Method: A cross-sectional survey was administered to Taiwanese university students (N = 665). Partial least squares structural equation modeling with bootstrapping was used to test direct and indirect associations among the Big Five traits, mindfulness, and smartphone addiction. Results: Mindfulness was negatively associated… More >

Mataanana Mulavu^1,*, Dana Seale², J. Paul Seale³, Sion K. Harris⁴, Tulani Francis L. Matenga¹, Mwitwa Mugode¹, Shimeo Sakanya¹, Jonathan M. Tirrell⁵, Phillip Chimponda⁶, Wilbroad Mutale⁷, Mutale Sampa⁸, Oliver Mweemba¹

Journal of Psychology in Africa, Vol.36, No.2, pp. 219-230, 2026, DOI:10.32604/jpa.2026.071580 - 29 April 2026

Abstract Unhealthy substance use is high among adolescents and young people in Zambia. Conceivably, a character strength approach could help reduce alcohol and other psychoactive substance use among young adults. We tested the efficacy of a positive psychology based group-based character strengths prevention and recovery program for alcohol risk reduction among Zambian young adults. The primary study participants included schoolchildren and community members. We conducted 8 focus group discussions (FGDs) with school students (aged 13 to 17) and community youth (ages 18–24), 12 FGDs with parents, teachers, family, friends, and group leaders. Moreover, we conducted 8… More >

Ahmed Ibrahim Hassanin Mohamed^1,2,*, Nourhan M. Amin^2,3, Heba Elsaid Matter², Ibrahim F. Eldemary², Ahmed F. Oan²

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.079630 - 27 April 2026

Abstract The design of foundations for high-voltage electrical network lattice towers depends on reliable prediction of resistance to uplift and lateral forces. Because foundation works contribute substantially to the total project cost, a clear understanding of ultimate pullout capacity and the associated failure mechanism is required to support safe and economical design. This paper presents a three-dimensional finite element investigation using PLAXIS 3D to quantify the influence of soil type (pure sand and sand with 8% fines), footing dimensions ((3.5 × 7), (5 × 10), (7.5 × 15)), relative compaction RC are 92% and 100%, and… More >

Yuxiao Shi¹, Jinglin Zhang², Yuxia Li^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.078601 - 27 April 2026

Abstract Traffic light detection and fault identification using images from road traffic cameras are important for intelligent traffic management and urban safety monitoring. However, images collected in real traffic environments show clear differences in camera view, lighting conditions, weather, and background complexity. As a result, traffic lights vary greatly in scale, spatial location, and appearance, which reduces detection accuracy in complex scenes. To deal with this problem, this paper presents a multi-scene traffic light detection and fault identification framework based on dual-attention image fusion. Large-scale road camera data from the Chengdu Traffic Management Bureau are used,… More >

Nai-Wei Lo¹, Cheng-I Lin², Chih-Chieh Chang^3,*, Chi-Yang Chang⁴, Tran Thi Luu Ly¹

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.077316 - 27 April 2026

Abstract The growing frequency of malicious attacks on Internet of Things (IoT) devices has rendered conventional approaches with static label-dependent risk assessment models obsolete, especially when coping with unknown and continuously evolving threats. To mitigate these challenges, a novel dynamic trust evaluation framework approach is proposed in this work. The proposed framework utilized unsupervised learning and zero-knowledge proofs to assess device risks in complex environments adaptively, with an accuracy rate of 98.96% for normal clustering and 95.39% for anomalies. K-means clustering algorithm is leveraged to distinguish risk patterns with an additional Decision Tree classification algorithm to More >

Sobhan Manjili¹, Saeid Jafarzadeh Ghoushchi¹, Mohammad Reza Maghami^2,*, Mazlan Mohamed^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.076217 - 27 April 2026

Abstract Accurate electricity load forecasting is crucial for optimizing power distribution networks, especially in rapidly growing cities like Tabriz (annual consumption growth of 7.2%). This study presents a hybrid AI framework integrating the Temporal Fusion Transformer (TFT) and XGBoost for residual error correction. The model is trained and evaluated using actual consumption data from Tabriz’s distribution network (2021–2023). Compared to a baseline TFT model, the proposed framework demonstrates a 11.2% reduction in RMSE (from 0.1249 to 0.1109) and a 10.7% decrease in MAE (from 0.0998 to 0.0891). Attention mechanism analysis reveals temperature (importance coefficient = 0.32), More >

Pujin Wang^1,2,3, Guofa Ji^1,2,3,*, Wenwei Zhao^1,2,3, Liangping Yi⁴

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2026.078171 - 27 April 2026

Abstract In multi-cluster horizontal well fracturing, non-uniform propagation due to inter-cluster interference severely limits the effectiveness of reservoir stimulation. This study employs the discrete lattice method for numerical simulation, investigating the influence of cluster spacing, fracturing fluid injection rate, and horizontal stress difference on fracture propagation morphology by monitoring, in real time, the dynamic changes in flow pressure, flow rate, and fluid intake volume for each cluster. The results indicate that the stress shadow effect is the fundamental cause of non-uniform fracture propagation. Cluster spacing is a key parameter controlling the maximum flow pressure difference between… More >

Asma Nousheen¹, Silvia Peruccacci², Cosimo Magazzino^3,4,5,*

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2026.076916 - 27 April 2026

Abstract Green growth has revolutionized society by reducing carbon dioxide (CO₂) emissions, intensifying energy efficiency, and promoting environmentally friendly technologies and energy utilization, eventually leading to sustainable economic development. However, research on the intricate relationship between green growth and CO₂ emissions is limited. This study aims to evaluate the impact of green growth, Information and Communication Technology (ICT), renewable energy, and population on environmental sustainability for a panel of 20 OECD countries from 2000 to 2023. Cointegration regression methods (Fully Modified Ordinary Least Squares, Dynamic Ordinary Least Squares, and Pooled Mean Group-AutoRegressive Distributed Lags) and pairwise panel More > Graphic Abstract

Xian Shi^1,2,*, Botao Zhang^1,2, Weidong Zhang^1,2, Zenghua Ma³, Bo Zhang³, Ahmad Ramezanzadeh⁴, Bin Li⁵, Jian Mao⁵

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2025.073586 - 27 April 2026

Abstract To investigate the mechanism governing the continuous decline in fracture conductivity of unconsolidated sandstone reservoirs post-hydraulic fracturing, this study centers on the synergistic effects of two key mechanisms—particle migration and proppant embedment. Through the integration of laboratory experiments and computational fluid dynamics-discrete element method (CFD-DEM) coupled numerical simulations, this study systematically examines the influence patterns of varying closure pressures, particle concentrations, fluid properties, and proppant parameters on fracture conductivity. The experimental results demonstrate that particle migration induces pore blockage within the proppant packing layer. When the fines mass concentration reaches 10%, fracture conductivity is almost… More >

Jarosław Nuszkiewicz^1,*, Joanna Wróblewska¹, Marek Jóźwiak², Marta Pawłowska¹

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.077020 - 22 April 2026

Abstract Melatonin, an endogenous indoleamine primarily synthesized in the pineal gland, has emerged as a promising adjunctive agent within integrative oncology due to its pleiotropic biological actions. Beyond its well-known chronobiological functions, melatonin exerts potent redox-regulatory, anti-inflammatory, oncostatic, and immune-modulating effects that are relevant across multiple stages of carcinogenesis and cancer therapy. Oxidative stress (OS), defined as an imbalance between reactive oxygen and nitrogen species (ROS/RNS) generation and antioxidant defenses, plays a central role in DNA damage, protein adduct formation, and lipid peroxidation, ultimately contributing to mutation accumulation, treatment resistance, and tumor progression. Melatonin modulates these… More >