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  • Open Access

    ARTICLE

    Is postoperative routine thoracic imaging necessary to detect thoracic complications in patients undergoing supracostal mini percutaneous nephrolithotomy (m-PCNL) surgery?

    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 >

  • Open Access

    ARTICLE

    PSMA PET/CT-guided pelvic lymph node dissection in patients with unfavorable intermediate- or high-risk prostate cancer

    Eva Donck1,*, 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 >

  • Open Access

    REVIEW

    Region-Specific Astrocyte Endfeet Disruption as a Driver of Pyramidal Neuron Death after Ischemia-Reperfusion in the Hippocampus

    JOONGBUM MOON1, JI HYEON AHN2, MOO-HO WON3,*

    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 >

  • Open Access

    ARTICLE

    DenseSwinGNNNet: A Novel Deep Learning Framework for Accurate Turmeric Leaf Disease Classification

    Seerat Singla1, Gunjan Shandilya1, Ayman Altameem2, Ruby Pant3, Ajay Kumar4, Ateeq Ur Rehman5,*, Ahmad Almogren6,*

    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 >

  • Open Access

    ARTICLE

    LLM-Based Enhanced Clustering for Low-Resource Language: An Empirical Study

    Talha Farooq Khan1, Majid Hussain1, Muhammad Arslan2, Muhammad Saeed1, Lal Khan3,*, Hsien-Tsung Chang4,5,6,*

    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 >

  • Open Access

    ARTICLE

    Improved Performance and Compost Biodegradation of PLA/PBAT Blend and PLA/PBAT Compatibilized Blends with Algae as a Reinforcer

    John Letwaba1, Sudhakar Muniyasamy2,3,*, 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 >

  • Open Access

    ARTICLE

    Vision-Based Crack Detection for Wall-Climbing Robot on Building Surface

    Xianghui Li1,2, Xin Fu3, Libo Pan2, Fancong Zeng1,2,*, Zhijiang Zuo1,2

    Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2025.073124

    Abstract The present study proposes an autonomous visual inspection system based on Wall-Climbing Robot (WCR), with a view to addressing the shortcomings of traditional building crack detection methods, namely their low measurement accuracy, high manual dependence and insufficient environmental adaptability. The system has been developed to construct a crack recognition model with robust illumination adaptation by fusing the improved YOLOv5s target detection algorithm with the Canny edge enhancement algorithm. The system has been realized as a lightweight deployment on an embedded device (MaixCAM). The robot platform employs a design scheme integrating a dual-chamber negative pressure adsorption… More >

  • Open Access

    ARTICLE

    SDHA Deficiency in Hepatocellular Carcinoma Promotes Tumor Progression through Succinate-Induced M2 Macrophage Polarization

    Xinyang Li1,2,3,#, Luyuan Ma1,2,3,#, Chuan Shen1,2,3, Ruolan Gu1,2,3, Shilong Dong1,2,3, Mingjie Liu1,2,3, Ying Xiao1,2,3, Wenpeng Liu1,2,3, Yuexia Liu1,2,3, Caiyan Zhao1,2,3,*

    Oncology Research, DOI:10.32604/or.2025.073179

    Abstract Background: Hepatocellular carcinoma (HCC) is an aggressive and lethal malignancy. Metabolic reprogramming dynamically remodels the tumor microenvironment (TME) and drives HCC progression. This study investigated the mechanism through which metabolic reprogramming remodels the TME in HCC. Methods: HCC patient transcriptome data were subjected to bioinformatics analysis to identify differentially expressed genes and immune infiltration status. Immunohistochemical analysis was performed to determine the correlation between succinate dehydrogenase complex subunit A (SDHA) expression and M2 macrophage infiltration. SDHA-knockdown or SDHA-overexpressing HCC cells were used for in vitro experiments, including co-culturing, flow cytometry, and enzyme-linked immunosorbent assay. Western blotting… More >

  • Open Access

    CASE REPORT

    A Rare Collision Medullary and Papillary Thyroid Carcinoma in Autoimmune Thyroid Disease: Case Report

    Tena Šimunjak1,*, Bernardica Jurić2, Andro Košec3,4, Vladimir Bedeković3,4

    Oncology Research, DOI:10.32604/or.2025.072100

    Abstract Background: Collision medullary and papillary thyroid carcinoma (MTC/PTC) is a rare entity, constituting less than 1% of all thyroid malignancies. The concurrent presence of these malignancies in patients with autoimmune thyroid disease, such as Graves’ disease, is even more uncommon. Calcitonin (Ctn) is considered one of the key MTC biomarkers. Mixed tumors may alter this relationship. Case Description: We report the case of a 55-year-old female with a history of Graves’ disease, who underwent total thyroidectomy for persistent dysthyroid orbitopathy. Histopathological analysis revealed a 9-mm collision MTC/PTC tumor in the left thyroid lobe, confirmed through More >

  • Open Access

    ARTICLE

    Citric Acid as an Alternative Adhesive: Optimisation of Concentrations on Characteristics of Jabon Plywood

    Muhammad Ilham Aulia1, Alifah Syahfitri1, Imam Busyra Abdillah1, Abdus Syukur1, Dede Hermawan1,*, Rita Kartika Sari1, Mahdi Mubarok1, Muhammad Adly Rahandi Lubis2, Sukma Surya Kusumah2, Sarah Augustina2, Jajang Sutiawan2,*

    Journal of Renewable Materials, DOI:10.32604/jrm.2025.02025-0160

    Abstract Citric acid adhesive is an alternative to formaldehyde-based adhesives that are more environmentally friendly because they are non-toxic and made from natural ingredients. This study aims to determine the effect of variations in citric acid adhesive concentrations on the physical and mechanical properties of jabon plywood. This study used citric acid adhesive with variations in citric acid (CA) concentrations of 59%, 69%, and 79%. Physical property tests include density, moisture content (MC), water absorption (WA), thickness expansion (TS), and delamination, while mechanical tests include modulus of rupture (MOR), modulus of elasticity (MOE), and shear stress… More >

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