Maxwell Sandberg^1,*, Mark Xu¹, Randall Bissette¹, Jacob Malakismail², Niara East³, Robenson Nguyen⁴, Jackson Nowatzke¹, Robert Stratta⁵, Dean Assimos^1,6, Colin Kleinguetl¹

Canadian Journal of Urology, Vol.32, No.6, pp. 633-641, 2025, DOI:10.32604/cju.2025.069091 - 30 December 2025

Abstract Objectives: Donor-gifted nephrolithiasis—the presence of a stone in a donor kidney at the time of transplantation—is rare. Research is limited, and no consensus high-quality evidence guidelines exist, leaving selection criteria and management to individual provider discretion. We aimed to estimate the frequency and analyze patient and graft outcomes of deceased donor (DD) transplant recipients with stones in their kidneys at Wake Forest Baptist Medical Center. Methods: All DD renal transplants or patients receiving most of their care postoperatively after DD renal transplantation at our institution from 1979 to 2025 were reviewed. Stones were considered donor-gifted… More >

Nader Karmous¹, Wadii Jlassi¹, Mohamed Ould-Elhassen Aoueileyine¹, Imen Filali^2,*, Ridha Bouallegue¹

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4363-4393, 2025, DOI:10.32604/cmes.2025.074178 - 23 December 2025

Abstract This paper introduces a robust Distributed Denial-of-Service attack detection framework tailored for Software-Defined Networking based Internet of Things environments, built upon a novel, synthetic multi-vector dataset generated in a Mininet-Ryu testbed using real-time flow-based labeling. The proposed model is based on the XGBoost algorithm, optimized with Principal Component Analysis for dimensionality reduction, utilizing lightweight flow-level features extracted from OpenFlow statistics to classify attacks across critical IoT protocols including TCP, UDP, HTTP, MQTT, and CoAP. The model employs lightweight flow-level features extracted from OpenFlow statistics to ensure low computational overhead and fast processing. Performance was rigorously… More >

Asma Batool¹, Fahad Ahmed¹, Naila Sammar Naz¹, Ayman Altameem², Ateeq Ur Rehman^3,4, Khan Muhammad Adnan^5,*, Ahmad Almogren^6,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4129-4152, 2025, DOI:10.32604/cmes.2025.073149 - 23 December 2025

Abstract Early and accurate cancer diagnosis through medical imaging is crucial for guiding treatment and enhancing patient survival. However, many state-of-the-art deep learning (DL) methods remain opaque and lack clinical interpretability. This paper presents an explainable artificial intelligence (XAI) framework that combines a fine-tuned Visual Geometry Group 16-layer network (VGG16) convolutional neural network with layer-wise relevance propagation (LRP) to deliver high-performance classification and transparent decision support. This approach is evaluated on the publicly available Kaggle kidney cancer imaging dataset, which comprises labeled cancerous and non-cancerous kidney scans. The proposed model achieved 98.75% overall accuracy, with precision, More >

Fangyuan Li^1,2,#, Xiaoyuan Hu^1,#, Xiaoge Gao³, Ling Liu³, Tao Li¹, Dan He¹, Jiaxing Cheng¹, Xiaobiao Ma¹, Li Li^1,*, Chunlei Ge^1,*, Hong Yao^1,*

Oncology Research, Vol.33, No.12, pp. 4029-4048, 2025, DOI:10.32604/or.2025.067628 - 27 November 2025

Abstract Background: Liver cancer stem cells (LCSCs) are recognized as pivotal drivers of hepatocellular carcinoma (HCC) progression; however, the molecular mechanisms maintaining their stem-like phenotype remain largely unresolved. This work investigates the role of prefoldin subunit 6-like protein (PFDN6L) in shaping LCSC traits and promoting or restraining HCC progression. Methods: PFDN6L, a cytoskeleton-associated chaperone, was studied using multiple in vitro assays—cell growth evaluation, cell cycle profiling, and spheroid culture—alongside analyses of stemness-associated markers (SOX2, CD133, CD44). Tumorigenic capacity was assessed in xenograft mouse models, and signaling pathway interrogation was performed to define underlying mechanisms. Results: In patient samples, More >

Mekhled Alharbi^1,*, Khalid Haseeb², Mamoona Humayun^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2601-2616, 2025, DOI:10.32604/cmes.2025.073039 - 26 November 2025

Abstract Emerging technologies and the Internet of Things (IoT) are integrating for the growth and development of heterogeneous networks. These systems are providing real-time devices to end users to deliver dynamic services and improve human lives. Most existing approaches have been proposed to improve energy efficiency and ensure reliable routing; however, trustworthiness and network scalability remain significant research challenges. In this research work, we introduce an AI-enabled Software-Defined Network (SDN)- driven framework to provide secure communication, trusted behavior, and effective route maintenance. By considering multiple parameters in the forwarder selection process, the proposed framework enhances network More >

Yiqiao Gong^1,2, Chunlai Wu¹, Wenfeng Zheng^1,*, Siyu Lu³, Guangyu Xu⁴, Lijuan Zhang⁵, Lirong Yin^6,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2223-2252, 2025, DOI:10.32604/cmes.2025.072136 - 26 November 2025

Abstract Recent Super-Resolution (SR) algorithms often suffer from excessive model complexity, high computational costs, and limited flexibility across varying image scales. To address these challenges, we propose DDNet, a dynamic and lightweight SR framework designed for arbitrary scaling factors. DDNet integrates a residual learning structure with an Adaptively fusion Feature Block (AFB) and a scale-aware upsampling module, effectively reducing parameter overhead while preserving reconstruction quality. Additionally, we introduce DDNetGAN, an enhanced variant that leverages a relativistic Generative Adversarial Network (GAN) to further improve texture realism. To validate the proposed models, we conduct extensive training using the More >

Sara Y. Aldeghaither, Jawaher Alsughayyir, Sabiha Fatima, Mohammad A. Alfhili^*

BIOCELL, Vol.49, No.11, pp. 2167-2180, 2025, DOI:10.32604/biocell.2025.071827 - 24 November 2025

Abstract Objectives: Targeting epigenetic modifications in anticancer therapy is a promising approach to overcoming cancer cell chemoresistance. The histone deacetylase/DNA methyltransferase inhibitor, parthenolide (PTL), has antitumor activity, but contrasting findings exist on its effect in normal cells. This study aims to examine the non-genomic toxic mechanisms of PTL in human erythrocytes. Methods: Cell death as stimulated by 20–200 μM of PTL for 24 h at 37°C was assessed using fluorescence-assorted cell sorting and spectrophotometric assays. Canonical markers of cell death, including membrane scrambling, oxidative stress, and Ca²⁺ mobilization, were captured by annexin V-fluorescein isothiocyanate, 2^′,7^′-dichlorodihydrofluorescein diacetate, and… More >

Jung-Yeon Kim^#, Min Hui Park^#, Kiryeong Kim, Jaechan Leem^*

BIOCELL, Vol.49, No.11, pp. 2147-2166, 2025, DOI:10.32604/biocell.2025.070188 - 24 November 2025

Abstract Background: Cisplatin (CDDP) is a cornerstone chemotherapeutic agent for many solid tumors, but its clinical use is severely limited by dose-dependent nephrotoxicity, which results in acute kidney injury (AKI) in a significant proportion of patients. CDDP-induced AKI involves interconnected mechanisms, including inflammation, oxidative stress, and tubular cell death. In this study, we aimed to investigate the renoprotective effects of esculetin (ES), a natural antioxidant coumarin, in a murine model of CDDP-induced AKI. Methods: Male C57BL/6 mice (8–10 weeks) received a single intraperitoneal injection of CDDP (20 mg/kg) with or without ES (40 mg/kg/day, oral gavage).… More >

Xiaoxiao Li, Xiujiang Shi^*, Yusheng Jian, Yaqi Yang, Bailing Guan, Zehong Cai

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-1, 2025, DOI:10.32604/icces.2025.011099

Abstract Based on COMSOL simulation software, the planar Gaussian heat source model was used to simulate and analyze the surface reinforced nickel-based coating on H13 steel, and the optimal process parameters were obtained. Secondly, TiC reinforced nickel base coating was prepared in situ on H13 steel surface by laser cladding technology. The morphology, phase composition, microhardness and friction and wear properties of matrix, single coating and gradient coating were compared by scanning electron microscopy, X-ray diffractometer, microhardness tester and universal friction and wear machine. Finally, the bionic gradient TiC reinforced nickel base coating was prepared on… More >

Yingying Guo¹, Ziyu Cui², Jibing Shen¹, Pei Li^3,*

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4519-4550, 2025, DOI:10.32604/cmc.2025.071504 - 23 October 2025

Abstract Accurate simulation of acoustic wave propagation in complex structures is of great importance in engineering design, noise control, and related research areas. Although traditional numerical simulation methods can provide precise results, they often face high computational costs when applied to complex models or problems involving parameter uncertainties, particularly in the presence of multiple coupled parameters or intricate geometries. To address these challenges, this study proposes an efficient algorithm for simulating the acoustic field of structures with adhered sound-absorbing materials while accounting for ground reflection effects. The proposed method integrates Catmull-Clark subdivision surfaces with the boundary… More >