Song Xu^1,2,3,4,5,*, Mengxin Lu^1,2,3,4,5, Zhonghua Yang^1,2,3,4,5, Hang Zheng^1,2,3,4,5

Canadian Journal of Urology, Vol.32, No.6, pp. 579-588, 2025, DOI:10.32604/cju.2025.063069 - 30 December 2025

Abstract Background: Many studies have evaluated the performance of fluorescence in situ hybridization (FISH) in detecting urothelial carcinoma, while few of them compared it in detecting bladder cancer (BC) vs. upper tract urothelial carcinoma (UTUC). This study aimed to determine and compare the FISH performance in detecting BC and UTUC. Methods: Data of patients with suspected urothelial carcinoma (UC) who accepted FISH from January 2021 to April 2023 were retrieved. The sensitivity and specificity of FISH in detecting BC and UTUC were determined and compared. Results: A total of 145 BC, 62 UTUC, and 170 non-UC patients were… More >

S. W. Jo^†, I. H. Kim^†, Y. J. Jeong^*

Chalcogenide Letters, Vol.22, No.3, pp. 189-196, 2025, DOI:10.15251/CL.2025.223.189

Abstract Copper selenide has emerged as a promising thermoelectric material due to its unique structural properties and tunable electronic band structure. However, its practical application is hindered by its relatively high thermal conductivity. In this study, we report on the turning of thermal conductivity and thermoelectric energy conversion by preparing a hybrid composite material including nano- and micro-sized Cu₂Se. By employing a hydrothermal synthesis method with cetyltrimethylammonium bromide (CTAB) as a surfactant, we successfully synthesized nano-sized Cu_₂Se particles with uniform size distribution. The incorporation of these nano-sized particles with micro-sized Cu₂Se resulted in a significant reduction in More >

H. K. Hassun^a,*, B. H. Hussein^a, B. K. H. Al-Maiyaly^a, R. H. Athab^a, Y. K. H. Moussa^b

Chalcogenide Letters, Vol.22, No.6, pp. 541-550, 2025, DOI:10.15251/CL.2025.226.541

Abstract Photoconductive possessions through the highly sensitive and responsive in lower applications apply voltages with a charge that effect the product for the photodetector utilizing Copper Sulfide was effective to fabricate and deposit by the means of thermal evaporation techniques following by the heat treatment with applications as the visible photodetector was described. Effects of doping to the antimony and aluminum on photo detectors property were estimated to be below illumination by the utilization of different power densities. The structure with the surface morphology properties was studied by XRD and AFM techniques, a clear effect of More >

Sehrish Bibi^1,*, Vincenzo Minutolo², Obaid Ullah Mehmood³, Renato Zona²

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.10, pp. 2473-2493, 2025, DOI:10.32604/fdmp.2025.072470 - 30 October 2025

Abstract Arterial stenosis is a critical condition with increasing prevalence among pediatric patients and young adults, making its investigation highly significant. Despite extensive studies on blood flow dynamics, limited research addresses the combined effects of nanoparticles and arterial curvature on unsteady pulsatile flow through multiple stenoses. This study aims to analyze the influence of nanoparticles on blood flow characteristics in realistic curved arteries with mild to severe overlapped constrictions. Using curvilinear coordinates, the thermal energy and momentum equations for nanoparticle-laden blood were derived, and numerical results were obtained through an explicit finite difference method. Key findings More >

Yukun Yang^*, Jun He, Wenfeng Chen, Zhi Li, Kun Chen

Energy Engineering, Vol.122, No.11, pp. 4653-4678, 2025, DOI:10.32604/ee.2025.068199 - 27 October 2025

Abstract To address the issues of unclear carbon responsibility attribution, insufficient renewable energy absorption, and simplistic carbon trading mechanisms in integrated energy systems, this paper proposes an electric-heat-hydrogen integrated energy system (EHH-IES) optimal scheduling model considering carbon emission stream (CES) and wind-solar accommodation. First, the CES theory is introduced to quantify the carbon emission intensity of each energy conversion device and transmission branch by defining carbon emission rate, branch carbon intensity, and node carbon potential, realizing accurate tracking of carbon flow in the process of multi-energy coupling. Second, a stepped carbon pricing mechanism is established to… More >

Sheeba Razzaq^1,*, Majid Iqbal Khan²

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5377-5398, 2025, DOI:10.32604/cmc.2025.068539 - 23 October 2025

Abstract Multi-Object Tracking (MOT) represents a fundamental but computationally demanding task in computer vision, with particular challenges arising in occluded and densely populated environments. While contemporary tracking systems have demonstrated considerable progress, persistent limitations—notably frequent occlusion-induced identity switches and tracking inaccuracies—continue to impede reliable real-world deployment. This work introduces an advanced tracking framework that enhances association robustness through a two-stage matching paradigm combining spatial and appearance features. Proposed framework employs: (1) a Height Modulated and Scale Adaptive Spatial Intersection-over-Union (HMSIoU) metric for improved spatial correspondence estimation across variable object scales and partial occlusions; (2) a feature More >

Yao Xia¹, Yuxiang Huang^1,*, Shifeng Zhang², Yanglun Yu¹

Journal of Renewable Materials, Vol.13, No.10, pp. 1881-1898, 2025, DOI:10.32604/jrm.2025.02025-0068 - 22 October 2025

Abstract Bamboo parenchymal cells (PCs) represent an underutilized resource with significant potential as a sustainable and versatile bio-based material. Despite the extensive research on bamboo fibers, PCs, comprising a considerable portion of bamboo, have been largely overlooked. This review examines the multi-scale structure of bamboo PCs, including their microcapsules, multi-wall layers, and pits, which provide the structural foundation for diverse applications. Various physical and chemical isolation methods, impacting the properties of extracted PCs, are also discussed. Notably, the review explores the promising applications of bamboo PCs, highlighting their use as filler materials in formaldehyde-free composites, as More > Graphic Abstract

Mohammad Soleimani Amiri¹, Sahbi Boubaker^2,3,*, Rizauddin Ramli^4,*, Souad Kamel²

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3113-3133, 2025, DOI:10.32604/cmes.2025.069167 - 30 September 2025

Abstract Disability is defined as a condition that makes it difficult for a person to perform certain vital activities. In recent years, the integration of the concepts of intelligence in solving various problems for disabled persons has become more frequent. However, controlling an exoskeleton for rehabilitation presents challenges due to their non-linear characteristics and external disturbances caused by the structure itself or the patient wearing the exoskeleton. To remedy these problems, this paper presents a novel adaptive control strategy for upper-limb rehabilitation exoskeletons, addressing the challenges of nonlinear dynamics and external disturbances. The proposed controller integrated… More >

Atta Rahman^*, Fahad Abdullah Alatallah, Abdullah Jafar Almubarak, Haider Ali Alkhazal, Hasan Ali Alzayer, Younis Zaki Shaaban, Nasro Min-Allah, Aghiad Bakry, Khalid Aloup

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3507-3525, 2025, DOI:10.32604/cmc.2025.067547 - 23 September 2025

Abstract This study presents an automated system for monitoring Personal Protective Equipment (PPE) compliance using advanced computer vision techniques in industrial settings. Despite strict safety regulations, manual monitoring of PPE compliance remains inefficient and prone to human error, particularly in harsh environmental conditions like in Saudi Arabia’s Eastern Province. The proposed solution leverages the state-of-the-art YOLOv11 deep learning model to detect multiple safety equipment classes, including safety vests, hard hats, safety shoes, gloves, and their absence (no_hardhat, no_safety_vest, no_safety_shoes, no_gloves) along with person detection. The system is designed to perform real-time detection of safety gear while… More >

Peng Xiao¹, Haiyu Xu¹, Peng Xu¹, Zhiwei Guo^1,*, Amr Tolba^2,*, Osama Alfarraj²

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 2999-3022, 2025, DOI:10.32604/cmc.2025.066937 - 23 September 2025

Abstract Medical image analysis based on deep learning has become an important technical requirement in the field of smart healthcare. In view of the difficulties in collaborative modeling of local details and global features in multimodal image analysis of ophthalmology, as well as the existence of information redundancy in cross-modal data fusion, this paper proposes a multimodal fusion framework based on cross-modal collaboration and weighted attention mechanism. In terms of feature extraction, the framework collaboratively extracts local fine-grained features and global structural dependencies through a parallel dual-branch architecture, overcoming the limitations of traditional single-modality models in… More >