Xue Zhang¹, Jie Chen^2,*, Zhihui Zhang³, Dewei Zhang³, Yuejiao Ming³, Xinde Zhang³

Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.069487 - 27 December 2025

Abstract The integration of wind power and natural gas for hydrogen production forms a Green and Blue Hydrogen Integrated Energy System (GBH-IES), which is a promising cogeneration approach characterized by multi-energy complementarity, flexible dispatch, and efficient utilization. This system can meet the demands for electricity, heat, and hydrogen while demonstrating significant performance in energy supply, energy conversion, economy, and environment (4E). To evaluate the GBH-IES system effectively, a comprehensive performance evaluation index system was constructed from the 4E dimensions. The fuzzy DEMATEL method was used to quantify the causal relationships between indicators, establishing a scientific input-output… More > Graphic Abstract

Yaxin Zhao¹, Qi Han², Hui Shu², Yan Guang^2,*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-24, 2026, DOI:10.32604/cmc.2025.070511 - 09 December 2025

Abstract Large Language Models (LLMs) are increasingly applied in the field of code translation. However, existing evaluation methodologies suffer from two major limitations: (1) the high overlap between test data and pretraining corpora, which introduces significant bias in performance evaluation; and (2) mainstream metrics focus primarily on surface-level accuracy, failing to uncover the underlying factors that constrain model capabilities. To address these issues, this paper presents TCode (Translation-Oriented Code Evaluation benchmark)—a complexity-controllable, contamination-free benchmark dataset for code translation—alongside a dedicated static feature sensitivity evaluation framework. The dataset is carefully designed to control complexity along multiple dimensions—including syntactic… More >

Himadri Nath Saha¹, Dipanwita Chakraborty Bhattacharya^2,*, Sancharita Dutta³, Arnab Bera³, Srutorshi Basuray⁴, Satyasaran Changdar⁵, Saptarshi Banerjee⁶, Jon Turdiev⁷

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-56, 2026, DOI:10.32604/cmc.2025.070507 - 09 December 2025

Abstract The emergence of Medical Large Language Models has significantly transformed healthcare. Medical Large Language Models (Med-LLMs) serve as transformative tools that enhance clinical practice through applications in decision support, documentation, and diagnostics. This evaluation examines the performance of leading Med-LLMs, including GPT-4Med, Med-PaLM, MEDITRON, PubMedGPT, and MedAlpaca, across diverse medical datasets. It provides graphical comparisons of their effectiveness in distinct healthcare domains. The study introduces a domain-specific categorization system that aligns these models with optimal applications in clinical decision-making, documentation, drug discovery, research, patient interaction, and public health. The paper addresses deployment challenges of Medical-LLMs, More >

Siti Rahayu Nadhiroh^1,*, Ira Nurmala², Iqbal Pramukti³, Kamolthip Ruckwongpatr⁴, Laila Wahyuning Tyas², Afina Puspita Zari², Warda Eka Islamiah¹, Yan-Li Siaw⁵, Marc N. Potenza^{6,7,8,9,10,11}, Chung-Ying Lin^{12,13,14,15,*}

International Journal of Mental Health Promotion, Vol.27, No.12, pp. 1847-1865, 2025, DOI:10.32604/ijmhp.2025.072115 - 31 December 2025

Abstract Objectives: Problematic use of the internet (PUI) has been increasingly associated with various mental health issues, highlighting the need for accurate assessment tools. The Assessment of Criteria for Specific Internet-use Disorder (ACSID-11) is a validated psychometric instrument designed to measure distinct forms of PUI across multiple online activities. However, its applicability and validity have not yet been established within the Indonesian context. Therefore, this study aimed to translate and validate the ACSID-11 for use among Indonesian populations. Methods: The translation procedure of the ACSID-11 involved forward translation, back translation, and expert panel discussions. This research involved… More >

Şeref Barbaros Arik^1,2,*, İnanç Güvenç^1,2

Canadian Journal of Urology, Vol.32, No.6, pp. 569-578, 2025, DOI:10.32604/cju.2025.068094 - 30 December 2025

Abstract Objectives: Differentiating benign from malignant testicular lesions is essential to avoid unnecessary surgery and ensure timely intervention. While conventional ultrasound remains the first-line imaging method, elastography and MRI provide additional functional and structural information. This study assesses the diagnostic utility of testicular elastography and magnetic resonance imaging (MRI) in differentiating benign and malignant testicular lesions. Methods: Patients with sonographically detected testicular masses were retrospectively evaluated using elastography, scrotal MRI, and tumor markers. Quantitative and qualitative imaging findings, lesion size, and laboratory values were recorded. Statistical analyses included Fisher’s exact test, logistic regression, Receiver operating characteristic… More >

Joon Yau Leong¹, Tyler Gaines², Zachary J. Prebay¹, David Ebbott¹, Paul H. Chung^1,*

Canadian Journal of Urology, Vol.32, No.6, pp. 589-595, 2025, DOI:10.32604/cju.2025.064125 - 30 December 2025

Abstract Introduction: Despite the diagnostic value of intracavernosal injections (ICI) and penile Doppler ultrasound (PDUS), there remain barriers to widespread clinical adaptation of these methods. The study aimed to evaluate the practice patterns of utilization of ICI and PDUS in the assessment of erectile dysfunction (ED) and Peyronie’s disease (PD). Methods: Using the TriNetX database (Cambridge, MA, USA), adult (≥18 years) male patients with a diagnosis of ED on oral phosphodiesterase-5 (PDE5) inhibitors were identified. Current Procedural Terminology codes were utilized to identify patients who underwent further evaluation with ICI or PDUS, as well as penile… More >

Xin Guo^*

Journal of Psychology in Africa, Vol.35, No.6, pp. 825-832, 2025, DOI:10.32604/jpa.2025.069822 - 30 December 2025

Abstract Core Self-Evaluations are linked to career success, yet the person-environment factor mechanisms underlying this relationship remain unclear. This meta-analysis (N = 135,809) synthesized the evidence on whether person task performance and LMX environment mediate the effects of CSE on career success both objective (salary) and subjective (job satisfaction) indicators. This study employed meta-analytic structural equation modeling (MASEM) to test direct and indirect pathways. Results integrating tournament theory and LMX theory show that CSE positively relates to task performance and LMX, both of which in turn relate to salary and job satisfaction. A significant sequential mediation More >

Pooja Yadav^1,*, Ramin Farnood², Vivek Kumar^1,*

Journal of Polymer Materials, Vol.42, No.4, pp. 1181-1197, 2025, DOI:10.32604/jpm.2025.072564 - 26 December 2025

Abstract Heavy metal contamination in water sources is a widespread global concern, particularly in developing nations, with various treatment approaches under extensive scientific investigation. In the present study, we fabricated electrospun composite polyvinylidene fluoride (PVDF) nanofibrous membranes exhibiting hierarchical surface roughness and superhydrophobicity for the removal of heavy metal ions via vacuum membrane distillation (VMD) process. The membranes were prepared by incorporating optimized dosing of silica nanoparticles, followed by a two-step membrane modification approach. These membranes exhibited notable characteristics, including elevated water contact angle (152.8 ± 3.2°), increased liquid entry pressure (127 ± 6 kPa), and… More > Graphic Abstract

Jeongsu Park¹, Moohong Min^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3913-3948, 2025, DOI:10.32604/cmes.2025.072261 - 23 December 2025

Abstract Time series anomaly detection is critical in domains such as manufacturing, finance, and cybersecurity. Recent generative AI models, particularly Transformer- and Autoencoder-based architectures, show strong accuracy but their robustness under noisy conditions is less understood. This study evaluates three representative models—AnomalyTransformer, TranAD, and USAD—on the Server Machine Dataset (SMD) and cross-domain benchmarks including the Soil Moisture Active Passive (SMAP) dataset, the Mars Science Laboratory (MSL) dataset, and the Secure Water Treatment (SWaT) testbed. Seven noise settings (five canonical, two mixed) at multiple intensities are tested under fixed clean-data training, with variations in window, stride, and More > Graphic Abstract

L. Gahramanli^a,b,c,*, M. Muradov^a, G. Eyvazova^a, A. Karimova^a, M. Jafarov^b

Chalcogenide Letters, Vol.22, No.2, pp. 109-121, 2025, DOI:10.15251/CL.2025.222.109

Abstract The study presents nanocomposite materials based on Cd_xZn_1-xS, synthesized as thin films and nanoparticles through two distinct techniques—sonochemical and SILAR synthesis techniques. The characteristics of these materials were investigated using X-ray diffraction (XRD), Ultraviolet spectroscopy (UV-Vis), Fourier-transform infrared (FTIR) spectroscopy, and Scanning Electron Microscopy (SEM). In the sonochemical approach, samples were prepared with three different stabilizers for comparative analysis to determine influence of type of the stabilizers. Meanwhile, the SILAR approach created thin layers with different components (distinctive x value-Cd_xZn_1-xS) at various grown temperatures utilizing polyvinyl alcohol (PVA) as a substrate. At the same time, nanocomposite More >