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

Edja Florentin Assanvo^1,*, Kanga Marius N’GATTA¹, Kicoun Jean-Yves N’zi Touré^1,2,3, 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 >

Mian Muhammad Danyal^1,2, Sarwar Shah Khan^3,4,*, 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 >

EFFAT ALEMZADEH¹, LEILA ALLAHQOLI², AFROOZ MAZIDIMORADI³, ESMAT ALEMZADEH^1,4, FAHIMEH GHASEMI^4,5, HAMID SALEHINIYA⁶, IBRAHIM ALKATOUT^7,*

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 >

Mohammad Z. Masoud¹, Yousef Jaradat¹, Ahmad Manasrah², Mohammad Alia³, Khaled Suwais^4,*, 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 >

Hong Zhang^1,*, 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 >

CHIWEN BU^1,2, LIGANG ZHAO¹, LISHAN WANG¹, ZEQIAN YU¹, JIAHUA ZHOU^1,*

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

DHANYA K. NAMBIAR¹, DEEPALI MISHRA², RANA P. SINGH^2,3,*

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

Minghui Niu^1,#, Heng Zhang^1,#, Xiangyang Li¹, Zhibao Hu¹, Hongjiao Zhang^2,3, Zhiru Xu^2,3, Chunpu Qu^1,4,*, Guanjun Liu^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 2001-2015, 2023, DOI:10.32604/phyton.2023.029350 - 29 May 2023

Abstract KANADI (KAN) is a plant-specific gene that controlled the polarity development of lateral organs. It mainly acted on the abaxial characteristics of plants to make the lateral organs asymmetrical. However, it had been less identified in woody plants. In this study, the members of the KAN gene family in Populus trichocarpa were identified and analyzed using the bioinformatics method. The results showed that a total of 8 KAN family members were screened out, and each member contained the unique GARP domain and conserved region of the family proteins. Phylogenetic analysis and their gene structures revealed that all KAN genes… More >