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  • Open Access

    PROCEEDINGS

    In-Silico Automated 3D Reconstruction of the Biomechanical Trapeziometacarpal Joint from 4D Imaging

    Yen-Jen Lai1, I-Ling Chang1,*

    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 >

  • Open Access

    ARTICLE

    Improving Badminton Action Recognition Using Spatio-Temporal Analysis and a Weighted Ensemble Learning Model

    Farida Asriani1,2, Azhari Azhari1,*, 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 >

  • Open Access

    REVIEW

    Oil Palm Fiber Hybrid Composites: A Recent Review

    H. A. Aisyah1,*, E. Hishamuddin1, A. W. Noorshamsiana1, Z. Ibrahim1, R. A. Ilyas2,*

    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

    Oil Palm Fiber Hybrid Composites: A Recent Review

  • Open Access

    ARTICLE

    Extraction and Detailed Physico-Chemical Characterization of Lignocellulosic Fibers Derived from Lonchocarpus cyanescens

    Edja Florentin Assanvo1,*, Kanga Marius N’GATTA1, Kicoun Jean-Yves N’zi Touré1,2,3, Amenan Sylvie Konan4, David Boa4

    Journal of Polymer Materials, Vol.41, No.2, pp. 55-68, 2024, DOI:10.32604/jpm.2024.055397 - 09 August 2024

    Abstract The present study focused on extraction of Lonchocarpus cyanescens (L. cyanescens) fiber (LCF) and the physico-chemical properties of the obtained fiber. The fiber was extracted by manual and traditional rating methods, treated with sodium hydroxide, and characterized to determine its performance properties. The chemical composition of cellulose, hemicellulose, and lignin was determined according to the acid detergent, neutral detergent, and Klason methods, respectively. The results show significant quantities of cellulose (33%), hemicellulose (30%), and lignin (24%) in the studied fibers. LCF exhibited a porous multicellular and poly lamellate network structure (FE-SEM) with a crystallinity index of 56.5%. More >

  • Open Access

    ARTICLE

    Enhancing Multi-Modality Medical Imaging: A Novel Approach with Laplacian Filter + Discrete Fourier Transform Pre-Processing and Stationary Wavelet Transform Fusion

    Mian Muhammad Danyal1,2, Sarwar Shah Khan3,4,*, Rahim Shah Khan5, Saifullah Jan2, Naeem ur Rahman6

    Journal of Intelligent Medicine and Healthcare, Vol.2, pp. 35-53, 2024, DOI:10.32604/jimh.2024.051340 - 08 July 2024

    Abstract Multi-modality medical images are essential in healthcare as they provide valuable insights for disease diagnosis and treatment. To harness the complementary data provided by various modalities, these images are amalgamated to create a single, more informative image. This fusion process enhances the overall quality and comprehensiveness of the medical imagery, aiding healthcare professionals in making accurate diagnoses and informed treatment decisions. In this study, we propose a new hybrid pre-processing approach, Laplacian Filter + Discrete Fourier Transform (LF+DFT), to enhance medical images before fusion. The LF+DFT approach highlights key details, captures small information, and sharpens… More >

  • Open Access

    REVIEW

    Deciphering resistance mechanisms and novel strategies to overcome drug resistance in ovarian cancer: a comprehensive review

    EFFAT ALEMZADEH1, LEILA ALLAHQOLI2, AFROOZ MAZIDIMORADI3, ESMAT ALEMZADEH1,4, FAHIMEH GHASEMI4,5, HAMID SALEHINIYA6, IBRAHIM ALKATOUT7,*

    Oncology Research, Vol.32, No.5, pp. 831-847, 2024, DOI:10.32604/or.2024.031006 - 23 April 2024

    Abstract Ovarian cancer is among the most lethal gynecological cancers, primarily due to the lack of specific symptoms leading to an advanced-stage diagnosis and resistance to chemotherapy. Drug resistance (DR) poses the most significant challenge in treating patients with existing drugs. The Food and Drug Administration (FDA) has recently approved three new therapeutic drugs, including two poly (ADP-ribose) polymerase (PARP) inhibitors (olaparib and niraparib) and one vascular endothelial growth factor (VEGF) inhibitor (bevacizumab) for maintenance therapy. However, resistance to these new drugs has emerged. Therefore, understanding the mechanisms of DR and exploring new approaches to overcome More >

  • Open Access

    ARTICLE

    A Measurement Study of the Ethereum Underlying P2P Network

    Mohammad Z. Masoud1, Yousef Jaradat1, Ahmad Manasrah2, Mohammad Alia3, Khaled Suwais4,*, Sally Almanasra4

    CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 515-532, 2024, DOI:10.32604/cmc.2023.044504 - 30 January 2024

    Abstract This work carried out a measurement study of the Ethereum Peer-to-Peer (P2P) network to gain a better understanding of the underlying nodes. Ethereum was applied because it pioneered distributed applications, smart contracts, and Web3. Moreover, its application layer language “Solidity” is widely used in smart contracts across different public and private blockchains. To this end, we wrote a new Ethereum client based on Geth to collect Ethereum node information. Moreover, various web scrapers have been written to collect nodes’ historical data from the Internet Archive and the Wayback Machine project. The collected data has been… More >

  • Open Access

    ARTICLE

    Classification-Detection of Metal Surfaces under Lower Edge Sharpness Using a Deep Learning-Based Approach Combined with an Enhanced LoG Operator

    Hong Zhang1,*, Jiaming Zhou1, Qi Wang1, Chengxi Zhu1, Haijian Shao2

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1551-1572, 2023, DOI:10.32604/cmes.2023.027035 - 26 June 2023

    Abstract Metal flat surface in-line surface defect detection is notoriously difficult due to obstacles such as high surface reflectivity, pseudo-defect interference, and random elastic deformation. This study evaluates the approach for detecting scratches on a metal surface in order to address a problem in the detection process. This paper proposes an improved Gauss-Laplace (LoG) operator combined with a deep learning technique for metal surface scratch identification in order to solve the difficulties that it is challenging to reduce noise and that the edges are unclear when utilizing existing edge detection algorithms. In the process of scratch… More >

  • Open Access

    ARTICLE

    mTORC2 promotes pancreatic cancer progression and parp inhibitor resistance

    CHIWEN BU1,2, LIGANG ZHAO1, LISHAN WANG1, ZEQIAN YU1, JIAHUA ZHOU1,*

    Oncology Research, Vol.31, No.4, pp. 495-503, 2023, DOI:10.32604/or.2023.029309 - 25 June 2023

    Abstract Pancreatic cancer is one of the most aggressive cancers with a median survival time of less than 5 months, and conventional chemotherapeutics are the main treatment strategy. Poly(ADP-ribose) polymerase (PARP) inhibitors have been recently approved for BRCA1/2-mutant pancreatic cancer, opening a new era for targeted therapy for this disease. However, most pancreatic cancer patients carry wild-type BRCA1/2 with resistance to PARP inhibitors. Here, we reported that mammalian target of rapamycin complex 2 (mTORC2) kinase is overexpressed in pancreatic cancer tissues and promotes pancreatic cancer cell growth and invasion. Moreover, we found that knockdown of the More > Graphic Abstract

    mTORC2 promotes pancreatic cancer progression and parp inhibitor resistance

  • Open Access

    REVIEW

    Targeting DNA repair for cancer treatment: Lessons from PARP inhibitor trials

    DHANYA K. NAMBIAR1, DEEPALI MISHRA2, RANA P. SINGH2,3,*

    Oncology Research, Vol.31, No.4, pp. 405-421, 2023, DOI:10.32604/or.2023.028310 - 25 June 2023

    Abstract Ionizing radiation is frequently used to treat solid tumors, as it causes DNA damage and kill cancer cells. However, damaged DNA is repaired involving poly-(ADP-ribose) polymerase-1 (PARP-1) causing resistance to radiation therapy. Thus, PARP-1 represents an important target in multiple cancer types, including prostate cancer. PARP is a nuclear enzyme essential for single-strand DNA breaks repair. Inhibiting PARP-1 is lethal in a wide range of cancer cells that lack the homologous recombination repair (HR) pathway. This article provides a concise and simplified overview of the development of PARP inhibitors in the laboratory and their clinical More > Graphic Abstract

    Targeting DNA repair for cancer treatment: Lessons from PARP inhibitor trials

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