Mussad Mohammed Al-Zahrani^*, Taher Maatallah

Frontiers in Heat and Mass Transfer, Vol.23, No.6, pp. 1883-1905, 2025, DOI:10.32604/fhmt.2025.074656 - 31 December 2025

Abstract Conventional concentrator photovoltaics (CPV) face a persistent trade-off between high efficiency and high cost, driven by expensive multi-junction solar cells and complex active cooling systems. This study presents a computational investigation of a novel Multi-Focal Pyramidal Array (MFPA)-based CPV system designed to overcome this limitation. The MFPA architecture employs a geometrically optimized pyramidal concentrator to distribute concentrated sunlight onto strategically placed, low-cost monocrystalline silicon cells, enabling high efficiency energy capture while passively managing thermal loads. Coupled optical thermal electrical simulations in COMSOL Multiphysics demonstrate a geometric concentration ratio of 120×, with system temperatures maintained below More >

Lijuan Zhang¹, Yu Zhou², Jiawei Tian^3,*, Fupei Guo⁴, Xiang Zhang⁴, Bo Yang^4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3949-3968, 2025, DOI:10.32604/cmes.2025.071869 - 23 December 2025

Abstract In endoscopic surgery, the limited field of view and the nonlinear deformation of organs caused by patient movement and respiration significantly complicate the modeling and accurate tracking of soft tissue surfaces from endoscopic image sequences. To address these challenges, we propose a novel Hybrid Triangular Matching (HTM) modeling framework for soft tissue feature tracking. Specifically, HTM constructs a geometric model of the detected blobs on the soft tissue surface by applying the Watershed algorithm for blob detection and integrating the Delaunay triangulation with a newly designed triangle search segmentation algorithm. By leveraging barycentric coordinate theory, More >

S. N. Yasinova^a,b,*, A. B. Rzayeva^a,b, M. H. Huseynaliyev^b, B. T. Hagieva^a, G. M. Huseynov^a,b

Chalcogenide Letters, Vol.22, No.10, pp. 883-888, 2025, DOI:10.15251/CL.2025.2210.883

Abstract The thin films and powders of PbS, PbSe, and PbSe and PbS_0.5Se_0.5 have been obtained by chemical precipitation method. The X-ray spectra of the obtained thin layers were obtained through the"Miniflex 600" diffractometer, and elemental analyses were performed. Thermogravimetric analyses of the powders of all three compounds were conducted in the temperature range of 20-800°C using the "NETZSCH STA 449 F3" apparatus. It has been determined from the X-ray spectra that the angular positions of all the peaks of PbS, PbSe, and PbSe and PbS_0.5Se_0.5 thin layers coincide with the positions of the corresponding diffraction peaks More >

R. U. Siddikov^*, Kh. M. Sulaymonov, N. Kh. Yuldashev

Chalcogenide Letters, Vol.22, No.10, pp. 855-862, 2025, DOI:10.15251/CL.2025.2210.855

Abstract This paper presents the results of an experimental study of the tens metric and dielectric properties of polycrystalline (BixSb_1-x)₂Te₃ films in the temperature range of 280−480 K and at microwave frequencies. The temperature dependences of the specific conductivity, impedance, and permittivity under the action of uniaxial static deformation are analyzed. The deformation phenomena detected in polycrystalline films under the action of a microwave field are qualitatively interpreted based on the effective medium theory. More >

A. B. Rzayeva^1,2,*, F. E. Abbdullayeva¹, S. C. Imanova¹, S. H. Aliyeva^1,2, S. N. Yasinova^1,2

Chalcogenide Letters, Vol.22, No.11, pp. 965-970, 2025, DOI:10.15251/CL.2025.2211.965

Abstract Lead indium selenide (PbIn2Se₄) is a promising chalcogenide semiconductor for optoelectronic and energy applications. We report a hydrothermal synthesis route using ethylene glycol under moderate conditions (433– 453 K, 7–12 h), yielding up to 85–87%. The product crystallized into a cotton-like morphology composed of nanoand microparticles. Structural and compositional integrity were confirmed by chemical analysis, thermogravimetric analysis, and transmission electron microscopy. These results demonstrate that hydrothermal synthesis provides an efficient and controllable pathway to high-purity PbIn2Se₄, opening opportunities for its use in advanced functional devices. More >

Yen-Chun Wang¹, Kamolthip Ruckwongpatr², Amornthep Jankaew³, Apiradee Pimsen⁴, Chirawat Paratthakonkun⁵, I-Hua Chen⁶, Jung-Sheng Chen⁷, Hsin-Chi Tsai^8,9,*, Nadia Bevan¹⁰, Chung-Ying Lin^1,11,12,13,*

International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1645-1661, 2025, DOI:10.32604/ijmhp.2025.071081 - 28 November 2025

Abstract Background: Weight stigma is prevalent and has multiple sources, which have significant effects on individual, social, physical, and psychological health. This study evaluated the psychometric properties of the Thai version of WeSEI to provide a valid tool to assess weight stigma in Thai young adults. Methods: A cross-sectional online survey recruited 517 Thai university students from October 2024 to May 2025. All participants completed demographic information and standardized self-reported instruments, including WeSEI, Depression, Anxiety, and Stress scale 21 (DASS-21), Weight Self-Stigma Questionnaire (WSSQ), and Perceived Weight Stigma Scale (PWSS). The psychometric properties of the Thai version… More >

Ricardo Dominico Da Silva^1,2, Jangkung Raharjo^1,3,*, Sudarmono Sasmono^1,3

Energy Engineering, Vol.122, No.12, pp. 5073-5090, 2025, DOI:10.32604/ee.2025.071545 - 27 November 2025

Abstract The rapid development of technology has led to an ever-increasing demand for electrical energy. In the context of Timor-Leste, which still relies on fossil energy sources with high operational costs and significant environmental impacts, electricity load forecasting is a strategic measure to support the energy transition towards the Net Zero Emission (NZE) target by 2050. This study aims to utilize historical electricity load data for the period 2013–2024, as well as data on external factors affecting electricity consumption, to forecast electricity load in Timor-Leste in the next 10 years (2025–2035). The forecasting results are expected… More >

Kangjie Li, Wenjing Ye^*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 1665-1688, 2025, DOI:10.32604/cmes.2025.072447 - 26 November 2025

Abstract Recent progress in topology optimization (TO) has seen a growing integration of machine learning to accelerate computation. Among these, online learning stands out as a promising strategy for large-scale TO tasks, as it eliminates the need for pre-collected training datasets by updating surrogate models dynamically using intermediate optimization data. Stress-constrained lightweight design is an important class of problem with broad engineering relevance. Most existing frameworks use pixel or voxel-based representations and employ the finite element method (FEM) for analysis. The limited continuity across finite elements often compromises the accuracy of stress evaluation. To overcome this… More >

Zhe Liu^1,2,3,*, Sijia Zhu⁴, Yulong Huang^1,*, Tapan Senapati^5,6,7, Xiangyu Li⁸, Wulfran Fendzi Mbasso⁹, Himanshu Dhumras¹⁰, Mehdi Hosseinzadeh^11,12,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2157-2188, 2025, DOI:10.32604/cmes.2025.072352 - 26 November 2025

Abstract Uncertainty and ambiguity are pervasive in real-world intelligent systems, necessitating advanced mathematical frameworks for effective modeling and analysis. Fermatean fuzzy sets (FFSs), as a recent extension of classical fuzzy theory, provide enhanced flexibility for representing complex uncertainty. In this paper, we propose a unified parametric divergence operator for FFSs, which comprehensively captures the interplay among membership, non-membership, and hesitation degrees. The proposed operator is rigorously analyzed with respect to key mathematical properties, including non-negativity, non-degeneracy, and symmetry. Notably, several well-known divergence operators, such as Jensen-Shannon divergence, Hellinger distance, and χ²-divergence, are shown to be special cases More >

Abdullrahman A. Al-Shamma’a¹, Hassan M. Hussein Farh^1,*, Ridwan Taiwo², Al-Wesabi Ibrahim³, Abdulrhman Alshaabani¹, Saad Mekhilef ⁴, Mohamed A. Mohamed^5,6,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 1303-1347, 2025, DOI:10.32604/cmes.2025.071302 - 26 November 2025

Abstract Optimal sizing and allocation of distributed generators (DGs) have become essential computational challenges in improving the performance, efficiency, and reliability of electrical distribution networks. Despite extensive research, existing approaches often face algorithmic limitations such as slow convergence, premature stagnation in local minima, or suboptimal accuracy in determining optimal DG placement and capacity. This study presents a comprehensive scientometric and systematic review of global research focused on computer-based modelling and algorithmic optimization for renewable DG sizing and placement. It integrates both quantitative and qualitative analyses of the scholarly landscape, mapping influential research domains, co-authorship structures, the More >