Huihui Yang¹, Saif Ur Rehman Khan^2,*, Omair Bilal², Chao Chen^1,*, Ming Zhao²

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2401-2434, 2025, DOI:10.32604/cmes.2025.072148 - 26 November 2025

Abstract Detecting Alzheimer’s disease is essential for patient care, as an accurate diagnosis influences treatment options. Classifying dementia from non-dementia in brain MRIs is challenging due to features such as hippocampal atrophy, while manual diagnosis is susceptible to error. Optimal computer-aided diagnosis (CAD) systems are essential for improving accuracy and reducing misclassification risks. This study proposes an optimized ensemble method (CEOE-Net) that initiates with the selection of pre-trained models, including DenseNet121, ResNet50V2, and ResNet152V2 for unique feature extraction. Each selected model is enhanced with the inclusion of a channel attention (CA) block to improve the feature… More >

Qiang Ma^1,2,3,4, Zepeng Li^1,2, Kai Yang^1,2,*, Shaofeng Zhang^1,2, Zhuopei Wei^1,2

Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1607-1634, 2025, DOI:10.32604/sdhm.2025.069876 - 17 November 2025

Abstract Effective fault identification is crucial for bearings, which are critical components of mechanical systems and play a pivotal role in ensuring overall safety and operational efficiency. Bearings operate under variable service conditions, and their diagnostic environments are complex and dynamic. In the process of bearing diagnosis, fault datasets are relatively scarce compared with datasets representing normal operating conditions. These challenges frequently cause the practicality of fault detection to decline, the extraction of fault features to be incomplete, and the diagnostic accuracy of many existing models to decrease. In this work, a transfer-learning framework, designated DSCNN-HA-TL,… More >

Mingxing Wu¹, Chengzhen Li¹, Xinyan Feng¹, Fei Chen², Yingchun Feng¹, Huihui Song¹, Wenyu Wang³, Faye Zhang^3,*

Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1473-1487, 2025, DOI:10.32604/sdhm.2025.069811 - 17 November 2025

Abstract As a core component of power systems, the operational status of transformers directly affects grid stability. To address the problem of “domain shift” in cross-domain fault diagnosis, this paper proposes a memory-enhanced dual-stream network (MemFuse-DSN). The method reconstructs the feature space by selecting and enhancing multi-source domain samples based on similarity metrics. An adaptive weighted dual-stream architecture is designed, integrating gradient reversal and orthogonality constraints to achieve efficient feature alignment. In addition, a novel dual dynamic memory module is introduced: the task memory bank is used to store high-confidence class prototype information, and adopts an More >

Raidizon Mercedes, Eric Eidelman, Michael Mawhorter, Max Yudovich, Alireza Aminsharifi^*

Canadian Journal of Urology, Vol.32, No.5, pp. 515-520, 2025, DOI:10.32604/cju.2025.067973 - 30 October 2025

Abstract Background: Spontaneous rupture of the urinary bladder (SRUB) is a rare condition characterized by bladder rupture without any trauma or previous instrumentation. Diagnosing SRUB can be challenging, leading to potential delays in treatment and significant morbidity. Case description: We present a case of a 75-year-old male with a complex medical history, including atrial fibrillation, systemic lupus erythematosus, antiphospholipid syndrome, and chronic anticoagulation, who developed sudden onset gross hematuria and abdominal pain following bilateral internal iliac artery angioembolization for a spontaneous pelvic hematoma in the setting of supratherapeutic anticoagulation. Extraperitoneal bladder perforation was confirmed by CT cystogram.… More >

Sadia Fatima¹, Fadl Dahan^2,*, Jamal Hussain Shah¹, Refan Almohamedh², Mohammed Aloqaily², Samia Riaz¹

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 971-994, 2025, DOI:10.32604/cmes.2025.070272 - 30 October 2025

Abstract The human gastrointestinal (GI) tract is influenced by numerous disorders. If not detected in the early stages, they may result in severe consequences such as organ failure or the development of cancer, and in extreme cases, become life-threatening. Endoscopy is a specialised imaging technique used to examine the GI tract. However, physicians might neglect certain irregular morphologies during the examination due to continuous monitoring of the video recording. Recent advancements in artificial intelligence have led to the development of high-performance AI-based systems, which are optimal for computer-assisted diagnosis. Due to numerous limitations in endoscopic image… More >

Zengyao Tian^1,2, Li Lv^1,*, Wenchen Deng¹

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5359-5376, 2025, DOI:10.32604/cmc.2025.069427 - 23 October 2025

Abstract Accurate and reliable fault diagnosis is critical for secure operation in complex smart power systems. While graph neural networks show promise for this task, existing methods often neglect the long-tailed distribution inherent in real-world grid fault data and fail to provide reliability estimates for their decisions. To address these dual challenges, we propose a novel multi-expert collaboration uncertainty-aware power fault recognition framework with cross-view graph learning. Its core innovations are two synergistic modules: (1) The infographics aggregation module tackles the long-tail problem by learning robust graph-level representations. It employs an information-driven optimization loss within a… More >

Chengru Yang^1,#, Zhiyu Wang^1,#, Shaowu Bi¹, Xinmiao Zhang¹, Zhaoqiang Xu¹, Yifei Ge¹, Tianjie Zhang¹, Nan Wang¹, Yi Xu^{1,2,3,4,5,6,7,8,9,*}, Xiangyu Zhong^1,*

Oncology Research, Vol.33, No.11, pp. 3207-3229, 2025, DOI:10.32604/or.2025.066150 - 22 October 2025

Abstract Pancreatic cancer (PC) is an extremely aggressive cancer of the digestive system with insidious onset and the lack of effective biomarkers, resulting in late-stage diagnosis and poor prognosis. Exosomal non-coding RNAs (ncRNAs) are key mediators of intercellular communication that drive PC initiation and advancement. By modulating gene expression, they impact tumor microenvironment (TME) remodeling, proliferation, migration, apoptosis, and immune evasion. Critically, exosomal ncRNAs serve as promising biomarkers for early diagnosis and prognostic assessment. This review summarizes the current research achievements regarding exosomal ncRNAs in PC, systematically elaborating on their roles in tumor occurrence, metastasis, chemoresistance More >

Sophia Strukel¹, Vikrant Rai^1,2,*

BIOCELL, Vol.49, No.10, pp. 1887-1911, 2025, DOI:10.32604/biocell.2025.067207 - 22 October 2025

Abstract Diabetic foot ulcers (DFUs) are a serious complication of diabetes mellitus and are associated with high morbidity, risk of amputation, and increased mortality. Although DFUs typically remain a chronic, non-healing wound, a small portion of DFUs may undergo malignant transformation. The subsequent malignancies are skin cancers such as squamous cell carcinoma (SCC), basal cell carcinoma, or melanoma. Understanding the pathophysiology of DFUs and the molecular and clinical determinants that contribute to their potential malignant transformation if crucial for clinical management. Chronic inflammation, dysregulation of cytokine signaling, faulty immune surveillance, and impaired wound healing all play… More >

Ji-eun Yu¹, Eunji Ahn², Hanbit Jin², Dongsu Kim^2,*

International Journal of Mental Health Promotion, Vol.27, No.9, pp. 1353-1367, 2025, DOI:10.32604/ijmhp.2025.067407 - 30 September 2025

Abstract Background: Patients with cancer are confronted not only with physical changes and pain but also with significant psychological challenges, including distress, anxiety, and depression, as a consequence of their diagnosis and treatment. This study aimed to identify the factors influencing anxiety or depression in patients with cancer, examine the relationship between the duration since cancer diagnosis and psychological state, and explore the association between these factors and the use of Korean medicine (KM). Methods: This study utilized data from the 2018 Korea Health Panel spanning 2008 to 2018. The analysis focused on adult participants (aged… More >

Areeba Masood Siddiqui^1,2,*, Hyder Abbas^3,4, Muhammad Asim^5,6,*, Abdelhamied A. Ateya⁵, Hanaa A. Abdallah⁷

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3135-3168, 2025, DOI:10.32604/cmes.2025.069926 - 30 September 2025

Abstract Timely and accurate diagnosis of skin diseases is crucial as conventional methods are time-consuming and prone to errors. Traditional trial-and-error approaches often aggregate multiple models without optimization by resulting in suboptimal performance. To address these challenges, we propose a novel Squid Game Optimization-Dimension Reduction-based Ensemble (SGO-DRE) method for the precise diagnosis of skin diseases. Our approach begins by selecting pre-trained models named MobileNetV1, DenseNet201, and Xception for robust feature extraction. These models are enhanced with dimension reduction blocks to improve efficiency. To tackle the aggregation problem of various models, we leverage the Squid Game Optimization… More >