Jiayin Peng^1,2,#, Yijun Xue^2,#, Zhiren Cai², Zhaoguan Li², Kangyan Han², Xiaoqi Lin², Yutong Li^1,*, Yumin Zhuo^1,*

Oncology Research, Vol.33, No.10, pp. 3127-3154, 2025, DOI:10.32604/or.2025.067340 - 26 September 2025

Abstract Background: Clear cell renal cell carcinoma (ccRCC) is an aggressive malignancy associated with limited treatment options and poor prognosis. Emerging studies suggest that the actin-regulating protein actin-related protein 2/3 complex subunit 1B (ARPC1B), a key regulatory protein within the actin cytoskeleton, could play a pivotal role in ccRCC progression. The current study aimed to uncover the biological functions of ARPC1B and the molecular mechanisms driving its effects in ccRCC. Methods: ARPC1B expression and prognostic implications were analyzed using data sourced from the Gene Expression Profiling Interactive Analysis (GEPIA) platform, immunohistochemical (IHC) staining on 150 tumor… More >

Mustafa Turkyilmazoglu^1,2,*, Abdulaziz Alotaibi³

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 2847-2865, 2025, DOI:10.32604/cmes.2025.068031 - 30 June 2025

Abstract The variable salinity in stored reservoirs connected by a long channel attracts the attention of scientists worldwide, having applications in environmental and geophysical engineering. This study explores the impact of Navier slip conditions on exchange flows within a long channel connecting two large reservoirs of differing salinity. These horizontal density gradients drive the flow. We modify the recent one-dimensional theory, developed to avoid runaway stratification, to account for the presence of uniform slip walls. By adjusting the parameters of the horizontal density gradient based on the slip factor, we resolve analytically various flow regimes ranging… More >

QIAN LI^1,#, SHUNPENG ZHU^1,#, MINGXIAN ZHU², FANG WANG^1,*, JINHUA ZHOU^1,*

Oncology Research, Vol.33, No.7, pp. 1757-1767, 2025, DOI:10.32604/or.2025.062539 - 26 June 2025

Abstract Objectives: Our previous research demonstrated that SIC-19, an innovative inhibitor of salt-inducible kinase 2 (SIK2), effectively reduces SIK2 protein levels through the ubiquitin-proteasome pathway and exhibits synthetic lethal effects with poly ADP-ribose polymerase (PARP) inhibitors in ovarian cancer. However, the role of SIC-19 in triple-negative breast cancer (TNBC) and pancreatic cancer (PC) remains poorly defined. This study aims to investigate whether SIC-19 combined with PARP inhibitors can induce synthetic lethal effects in TNBC and PC. Methods: Cell lines with high SIK2 expression were identified through Western blot analysis. The combination’s impact was evaluated using Cell… More >

Mehmet Fidan¹, Behcet Inal^2,*, Mesut Sırrı³, Bülent Hallaç⁴, Ulutas Mehmet Sefa¹

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 781-791, 2025, DOI:10.32604/phyton.2025.062171 - 31 March 2025

Abstract The use of conventional herbal medicines is a rapidly expanding phenomenon in developed nations. For instance, 30%–50% of all drug use in China is attributed to traditional herbal preparations. Current study evaluated the antioxidant (DPPH, FRAP), total phenolic and flavonoid content, antibacterial activity, and DNA damage protective potential of aqueous and methanolic extracts obtained from the aerial parts and roots of Cymbocarpum wiedemannii Boiss., an endemic plant in Turkey. In antioxidant analyses, the methanolic extract of the aerial parts showed the highest %DPPH (73.38) and IC50 (3.46 mg/mL) values. The FRAP analysis revealed the highest iron-reducing… More > Graphic Abstract

Hongjuan Guo¹, Dan Liu^1,2, Ruyu Yan^1,2, Tianjing Zhang³, Kecheng Zhou^1,2,*, Minxia Liu^1,*

BIOCELL, Vol.49, No.3, pp. 483-502, 2025, DOI:10.32604/biocell.2025.062143 - 31 March 2025

Abstract Objectives: Non-small cell lung cancer (NSCLC) represents a formidable malignancy characterized by its marked metastatic potential and intrinsic resistance to therapeutic interventions. The identification of potential biomarkers delineating the progression and metastatic cascade of NSCLC assumes paramount importance in fostering advancements toward enhanced patient outcomes and prognostic stratification. Methods: The expression level of the actin-related protein 2/3 complex; subunit 1A (ARPC1A) in NSCLC was evaluated using The Cancer Genome Atlas (TCGA) and Gene Expression Profiling Interactive Analysis (GEPIA) databases; along with the LinkedOmics database for co-expression genes. Further verification of ARPC1A expression in normal lung cells… More >

Liuqiang Shu, Lei Yu^*

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 627-644, 2025, DOI:10.32604/cmc.2024.056077 - 03 January 2025

Abstract Bone age assessment (BAA) aims to determine whether a child’s growth and development are normal concerning their chronological age. To predict bone age more accurately based on radiographs, and for the left-hand X-ray images of different races model can have better adaptability, we propose a neural network in parallel with the quantitative features from the left-hand bone measurements for BAA. In this study, a lightweight feature extractor (LFE) is designed to obtain the feature maps from radiographs, and a module called attention eraser module (AEM) is proposed to capture the fine-grained features. Meanwhile, the dimensional… More >

Jean-Baptiste Lattouf¹, Jenny J. Ko², Margot K. Davis³, Christian Constance⁴, Geoffrey T. Gotto⁵

Canadian Journal of Urology, Vol.31, No.5, pp. 11977-11985, 2024

Abstract Introduction: Niraparib, a PARP1/2 inhibitor, is newly approved in combination with abiraterone acetate (AA) plus prednisone or prednisolone (niraparib/AA+P) for the treatment of adult patients with BRCA-mutated, treatment-naïve metastatic castration resistant prostate cancer (mCRPC). Detailed guidance beyond the prescribing information may be helpful in managing the side effect profile and dosing practicalities of this combination therapy.
Materials and methods: A panel of specialists convened to design management algorithms for four common niraparib/ AA+P treatment-related adverse events (AEs) in mCRPC; anemia, thrombocytopenia, hypertension, and nausea. The algorithms build on Health Canada-approved prescribing information to highlight practical considerations related… More >

Yen-Jen Lai¹, I-Ling Chang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012918

Abstract Biomechanical research reveals that the geometric shapes and dynamic behaviors of organ tissues play a pivotal role in determining their mechanical properties. Recent advancements in time-correlated imaging technologies, such as Computed Tomography (4D-CT) and Magnetic Resonance Imaging (4D-MRI), have enabled the non-invasive capture of both geometric data and dynamic information over time. However, the manual segmentation of these extensive datasets proves to be laborious and expensive. This study introduces an automated workflow designed for image segmentation and classification within 4D-CT scans, with a specific focus on the bone structures surrounding the Trapeziometacarpal (TMC) joint in More >

Farida Asriani^1,2, Azhari Azhari^1,*, Wahyono Wahyono¹

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 3079-3096, 2024, DOI:10.32604/cmc.2024.058193 - 18 November 2024

Abstract Incredible progress has been made in human action recognition (HAR), significantly impacting computer vision applications in sports analytics. However, identifying dynamic and complex movements in sports like badminton remains challenging due to the need for precise recognition accuracy and better management of complex motion patterns. Deep learning techniques like convolutional neural networks (CNNs), long short-term memory (LSTM), and graph convolutional networks (GCNs) improve recognition in large datasets, while the traditional machine learning methods like SVM (support vector machines), RF (random forest), and LR (logistic regression), combined with handcrafted features and ensemble approaches, perform well but… More >

H. A. Aisyah^1,*, E. Hishamuddin¹, A. W. Noorshamsiana¹, Z. Ibrahim¹, R. A. Ilyas^2,*

Journal of Renewable Materials, Vol.12, No.10, pp. 1661-1689, 2024, DOI:10.32604/jrm.2024.055217 - 23 October 2024

Abstract Composite materials from oil palm fiber enhance sustainability by utilizing renewable resources, reducing dependence on non-renewable materials, and lessening environmental impact. Despite their mechanical and dimensional stability limitations, oil palm fiber-based polymer composites offer significant advantages, such as natural abundance, potential weight reduction, and cost-effectiveness due to local availability and renewability. The growing interest in oil palm hybrid composites, made from blending different fibers, is due to their customizable mechanical and physical properties. Hybridization is one of the most effective methods to reinforce and improve the performance of oil palm-derived composite materials. This review investigates More > Graphic Abstract