Jiaxi Wang¹, Wenbo Sun², Ziyuan Zhou¹, Shihua Wu¹, Jiang Xu¹, Shan Ji^3,*

CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.073237

Abstract Lightweight nodes are crucial for blockchain scalability, but verifying the availability of complete block data puts significant strain on bandwidth and latency. Existing data availability sampling (DAS) schemes either require trusted setups or suffer from high communication overhead and low verification efficiency. This paper presents ISTIRDA, a DAS scheme that lets light clients certify availability by sampling small random codeword symbols. Built on ISTIR, an improved Reed–Solomon interactive oracle proof of proximity, ISTIRDA combines adaptive folding with dynamic code rate adjustment to preserve soundness while lowering communication. This paper formalizes opening consistency and prove security… More >

Xun Chen¹, Jinbao Lin^1,2,*, Zai Wang¹

CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.072495

Abstract This work investigates the effects of deformation mechanisms on the mechanical properties and anisotropy of rolled AZ31B magnesium alloy under uniaxial tension, combining experimental characterization with Visco-Plastic Self Consistent (VPSC) modeling. The research focuses particularly on anisotropic mechanical responses along transverse direction (TD) and rolling direction (RD). Experimental measurements and computational simulations consistently demonstrate that prismatic slip activation significantly reduces the strain hardening rate during the initial stage of tensile deformation. By suppressing the activation of specific deformation mechanisms along RD and TD, the tensile mechanical behavior of the magnesium alloy was further investigated. The More >

Rashid Ali^1,*, Alaa Omran Almagrabi^2,3

CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2025.070224

Abstract Wi-Fi technology has evolved significantly since its introduction in 1997, advancing to Wi-Fi 6 as the latest standard, with Wi-Fi 7 currently under development. Despite these advancements, integrating machine learning into Wi-Fi networks remains challenging, especially in decentralized environments with multiple access points (mAPs). This paper is a short review that summarizes the potential applications of federated reinforcement learning (FRL) across eight key areas of Wi-Fi functionality, including channel access, link adaptation, beamforming, multi-user transmissions, channel bonding, multi-link operation, spatial reuse, and multi-basic servic set (multi-BSS) coordination. FRL is highlighted as a promising framework for More >

Erdem Öztürk, Tuncel Uzel, Mustafa Işikdoğan^*, İsa Dağli, Nurullah Hamİdİ, Halil Başar

Canadian Journal of Urology, DOI:10.32604/cju.2025.071101

Abstract Background: The European Association of Urology (EAU) recommends transperineal biopsy (TPBx) due to its lower infection risk and higher diagnostic rate for anterior zone tumors. This study aims to assess the learning curve of TPBx using the Perino-Flex^® angle-adjustable needle guide under local anesthesia. Methods: A retrospective observational analysis was conducted from November 2023 to March 2024, involving 100 patients who underwent TPBx with coaxial technique under local anesthesia. Data collected included patient demographics, procedure and room times, pain levels, anxiety scores, and complications. The study focused on comparing procedure times, pain scores, and complication rates… More >

Abdullah Esmeray, Huseyin Burak Yazili^*, Mucahit Gelmis, Nazim Furkan Gunay, Caglar Dizdaroglu, Faruk Ozgor, Yasar Pazir, Ufuk Caglar

Canadian Journal of Urology, DOI:10.32604/cju.2025.069657

Abstract Objectives: Supracostal access during percutaneous nephrolithotomy (PCNL) increases the risk of pulmonary complications. Although routine postoperative thoracic imaging is commonly performed to detect these events, its clinical necessity remains controversial. This study aimed to assess the necessity of routine postoperative thoracic imaging for detecting pulmonary complications in patients undergoing supracostal mini percutaneous nephrolithotomy (m-PCNL) surgery. Methods: A retrospective analysis was conducted on data from patients who underwent supracostal m-PCNL between 2017 and 2022 in a tertiary center. Excluding patients under 18, with kidney/skeletal anomalies, or active thoracic disease, 112 eligible patients were included. Patients were… More >

Eva Donck^1,*, Sofie Verbeke², Pieter De Visschere³, Valérie Fonteyne⁴, Charles Van Praet¹, Kathia De Man⁵, Nicolaas Lumen¹

Canadian Journal of Urology, DOI:10.32604/cju.2025.068589

Abstract Objectives: PSMA PET/CT (Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography) offers improved accuracy in detecting lymph node invasion (LNI) in prostate cancer (PC) patients, potentially reducing the need for extended pelvic lymph node dissection (ePLND). This study aims to evaluate a patient-tailored care pathway in which ePLND is performed only in patients with unfavorable intermediate- or high-risk PC who are deemed at risk for LNI based on PSMA PET/CT findings. Methods: In this interventional cohort study, 81 patients were managed according to the new care pathway. ePLND was omitted in cases of negative PSMA PET/CT… More >

JOONGBUM MOON¹, JI HYEON AHN², MOO-HO WON^3,*

BIOCELL, DOI:10.32604/biocell.2025.072635

Abstract Ischemia-reperfusion (I/R) injury induces region-specific neuronal vulnerability within the hippocampus, with the cornu ammonis 1 (CA1) subfield particularly prone to delayed neuronal death. While intrinsic neuronal factors have been implicated, emerging evidence highlights the decisive contribution of astrocyte endfeet (AEF)—specialized perivascular structures that regulate ion and water homeostasis, glutamate clearance, and blood–brain barrier (BBB) stability. This review synthesizes structural and molecular alterations of AEF across the CA1–CA3 subfields following I/R and their correlation with neuronal fate. In CA1, AEF undergo early-onset swelling and detachment from the vascular basal lamina due to dysfunction of critical proteins… More >

Seerat Singla¹, Gunjan Shandilya¹, Ayman Altameem², Ruby Pant³, Ajay Kumar⁴, Ateeq Ur Rehman^5,*, Ahmad Almogren^6,*

Phyton-International Journal of Experimental Botany, DOI:10.32604/phyton.2025.073354

Abstract Turmeric Leaf diseases pose a major threat to turmeric cultivation, causing significant yield loss and economic impact. Early and accurate identification of these diseases is essential for effective crop management and timely intervention. This study proposes DenseSwinGNNNet, a hybrid deep learning framework that integrates DenseNet-121, the Swin Transformer, and a Graph Neural Network (GNN) to enhance the classification of turmeric leaf conditions. DenseNet121 extracts discriminative low-level features, the Swin Transformer captures long-range contextual relationships through hierarchical self-attention, and the GNN models inter-feature dependencies to refine the final representation. A total of 4361 images from the… More >

Talha Farooq Khan¹, Majid Hussain¹, Muhammad Arslan², Muhammad Saeed¹, Lal Khan^3,*, Hsien-Tsung Chang^4,5,6,*

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.073021

Abstract Text clustering is an important task because of its vital role in NLP-related tasks. However, existing research on clustering is mainly based on the English language, with limited work on low-resource languages, such as Urdu. Low-resource language text clustering has many drawbacks in the form of limited annotated collections and strong linguistic diversity. The primary aim of this paper is twofold: (1) By introducing a clustering dataset named UNC2025 comprises 100k Urdu news documents, and (2) a detailed empirical standard of Large Language Model (LLM) improved clustering methods for Urdu text. We explicitly evaluate the… More >

John Letwaba¹, Sudhakar Muniyasamy^2,3,*, Nagarethinam Rakku¹, Lucey Mavhungu¹

Journal of Renewable Materials, DOI:10.32604/jrm.2025.02025-0132

Abstract Melt blending of biodegradable polyesters such as poly (lactic acid) (PLA) and poly (butylene adipate co-terephthalate) (PBAT) with a compatibilizer and natural filler offers a chance to develop biodegradable biocomposites with improved performance. In this study, we examined how PLA/PBAT blends behave during ultimate biodegradation (mineralization), both with and without compatibilizer and algae as a reinforcement, under controlled composting conditions using carbon dioxide (CO₂) respirometry techniques. Throughout the biodegradation process, the disintegration behaviour, thermal, chemical, and morphological properties of test samples before and after biodegradation were analyzed using FTIR, TGA, DSC, and SEM techniques. The results… More >