Chuang-Chieh Lin¹, Yung-Shen Huang², Shih-Yeh Chen^2,*

CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.072890

Abstract With the rapid development of generative artificial intelligence (GenAI), the task of story visualization, which transforms natural language narratives into coherent and consistent image sequences, has attracted growing research attention. However, existing methods still face limitations in balancing multi-frame character consistency and generation efficiency, which restricts their feasibility for large-scale practical applications. To address this issue, this study proposes a modular cloud-based distributed system built on Stable Diffusion. By separating the character generation and story generation processes, and integrating multi-feature control techniques, a caching mechanism, and an asynchronous task queue architecture, the system enhances generation… More >

Traian-Radu Ploscă^1,*, Alexandru-Mihai Pescaru², Bianca-Valeria Rus¹, Daniel-Ioan Curiac^1,*

CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.069707

Abstract Objective expertise evaluation of individuals, as a prerequisite stage for team formation, has been a long-term desideratum in large software development companies. With the rapid advancements in machine learning methods, based on reliable existing data stored in project management tools’ datasets, automating this evaluation process becomes a natural step forward. In this context, our approach focuses on quantifying software developer expertise by using metadata from the task-tracking systems. For this, we mathematically formalize two categories of expertise: technology-specific expertise, which denotes the skills required for a particular technology, and general expertise, which encapsulates overall knowledge More >

Jianchun Wen¹, Minghao Zhu^1,*, Bo Gao², Zhaojian Liu¹, Xuehan Li³

CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.069671

Abstract Urban traffic generates massive and diverse data, yet most systems remain fragmented. Current approaches to congestion management suffer from weak data consistency and poor scalability. This study addresses this gap by proposing the Urban Traffic Congestion Unified Metadata Model (UTC-UMM). The goal is to provide a standardized and extensible framework for describing, extracting, and storing multisource traffic data in smart cities. The model defines a two-tier specification that organizes nine core traffic resource classes. It employs an eXtensible Markup Language (XML) Schema that connects general elements with resource-specific elements. This design ensures both syntactic and… More >

JOSé A. BOGA^1,2, ANA COTO-MONTES^2,3,*, RUSSEL J. REITER⁴

BIOCELL, DOI:10.32604/biocell.2025.068245

Abstract Aerobic glycolysis, also known as the Warburg effect, and the accumulation of lactate that it causes, are increasingly recognized outside the field of oncology as triggers of chronic non-neoplastic disorders. This review integrates preclinical and clinical evidence to evaluate the ability of melatonin to reverse Warburg-effect-like metabolic reprogramming. Literature on neurodegeneration, age-related sarcopenia, type 2 diabetes, chronic kidney disease, heart failure and pulmonary arterial hypertension (PAH) has been reviewed and synthesised. In all of these conditions, hypoxia-inducible factor 1α (HIF-1α) and pyruvate dehydrogenase kinase 4 (PDK4) inhibit the pyruvate dehydrogenase complex. This diverts pyruvate away… More >

Huaiqin Liu¹, Meng Li¹, Jianwen Shao², Weishen Zhang¹, Qifan Yang¹, Yutong Li¹, Tian Su^1,3,*, Xuefeng Mei⁴

Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2025.073009

Abstract Rock collapse is a significant geological disaster that poses a serious threat to life and property in mountainous regions worldwide. Investigating the response of protective structures to rockfall impacts can provide valuable references for the design and placement of such structures. In this study, RocPro3D and ABAQUS were employed to comprehensively analyze rockfall movement trajectories and the structural response upon impact. The results indicate that when the impact velocity of rockfall at the protective structure reaches 20–30 m/sec, the corresponding bounce height ranges from 5 to 8 m, and most rockfall accumulates at the slope More > Graphic Abstract

Benyu Wang^*, Ke Chen, Bingjian Wang^#,*

Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2025.070137

Abstract To examine stress redistribution phenomena in bridges subjected to varying operational conditions, this study conducts a comprehensive analysis of three years of monitoring data from a 153-m double-deck road–rail steel arch bridge. An initial statistical comparison of sensor data distributions reveals clear temporal variations in stress redistribution patterns. XGBoost (eXtreme Gradient Boosting), a gradient-boosting machine learning (ML) algorithm, was employed not only for predictive modeling but also to uncover the underlying mechanisms of stress evolution. Unlike traditional numerical models that rely on extensive assumptions and idealizations, XGBoost effectively captures nonlinear and time-varying relationships between stress… More >

Sena Yıldız¹, Nurhan Keskin^2,*, Birhan Kunter³, Harlene Hatterman-Valenti⁴, Ozkan Kaya^4,5,*

Phyton-International Journal of Experimental Botany, DOI:10.32604/phyton.2025.073180

Abstract Climate change-driven environmental stresses, particularly ultraviolet-B (UV-B) radiation, pose severe threats to grapevine (Vitis vinifera L.) productivity and physiological stability. This study investigated the protective role of melatonin in in vitro plantlets of two grapevine cultivars, ‘Merlot’ and ‘Erciş’, subjected to low (≈8.25 μW cm⁻², 16 h) and high (≈33 μW cm⁻², 4 h) UV-B exposure. Significant cultivar-specific responses were observed (p < 0.001). The ‘Erciş’ cultivar exhibited higher oxidative stress, with malondialdehyde (MDA) levels reaching 24.30 mmol g⁻¹ FW in control plants compared with 14.91 ± 0.25 mmol g⁻¹ FW in ‘Merlot’. Melatonin provided dose-dependent mitigation, reducing MDA to… More >

Cheng Zhang, Rui Zhang, Yu Shao, Jiabin Wang, Qianyue Yang, Fang Xie, Rongling Yang, Hongzhen Luo^*

Journal of Renewable Materials, DOI:10.32604/jrm.2025.02025-0157

Abstract Biomass is a resource whose organic carbon is formed from atmospheric carbon dioxide. It has numerous characteristics such as low carbon emissions, renewability, and environmental friendliness. The efficient utilization of biomass plays a significant role in promoting the development of clean energy, alleviating environmental pressures, and achieving carbon neutrality goals. Among the numerous processing technologies of biomass, hydrothermal carbonization (HTC) is a promising thermochemical process that can decompose and convert biomass into hydrochar under relatively mild conditions of approximately 180°C–300°C, thereby enabling its efficient resource utilization. In addition, HTC can directly process feedstocks with high… More >

Kai Jing^1,2,#, Jingqun Wang^3,#, Baojuan Ye^3,4,*, Qi Dai⁴, Xian Gong⁵, Guorong Wang²

International Journal of Mental Health Promotion, DOI:10.32604/ijmhp.2025.071120

Abstract Objectives: Early adolescence is a key period of ecological and physiological change, during which exposure to accumulating risks from various environmental systems can negatively impact mental health. This study aimed to investigate the potential longitudinal relationships among cumulative risk, depression, and psychache in adolescents. Methods: A three-wave longitudinal study spanning one year was conducted with 675 (47.5% girls; Mean age = 14.13, standard deviation [SD] = 0.45) middle school students. The Random Intercept Cross-Lagged Panel Model (RI-CLPM) was used to explore the dynamic reciprocal relationships among these variables. Results: At the within-individual level, cumulative risk, depression, and… More >

Hua Pang^*, Xiaoyi Jin

International Journal of Mental Health Promotion, DOI:10.32604/ijmhp.2025.070803

Abstract Background: Live streaming has become a globally prevalent form of digital entertainment, particularly among young audiences, fostering new modes of online engagement through real-time interaction. However, excessive use may lead to addictive behaviors in certain users. Current research on live-streaming addiction remains limited, with prior studies focusing primarily on socio-psychological drivers rather than the role of technological affordances. To address this gap, this study develops a conceptual model based on socio-technical systems and attachment theory to investigate how emotional and functional attachment mediate the relationship between platform features and addictive behavior. Methods: A total of 533… More >