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

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 them is crucial for effective… 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

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 compared with two other services… 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

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 identification, it is challenging to… 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

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 mTORC2 obligate subunit Rictor sensitized… 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

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 applications. We focused on the… 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

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 from… More >

Zainab Ali Abbood^1,2,*, Doğu Çağdaş Atilla^3,4, Çağatay Aydin⁵

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 269-281, 2023, DOI:10.32604/iasc.2023.035276

Abstract Deep learning (DL) is a subdivision of machine learning (ML) that employs numerous algorithms, each of which provides various explanations of the data it consumes; mobile ad-hoc networks (MANET) are growing in prominence. For reasons including node mobility, due to MANET’s potential to provide small-cost solutions for real-world contact challenges, decentralized management, and restricted bandwidth, MANETs are more vulnerable to security threats. When protecting MANETs from attack, encryption and authentication schemes have their limits. However, deep learning (DL) approaches in intrusion detection systems (IDS) can adapt to the changing environment of MANETs and allow a system to make intrusion decisions… More >

Geng Qin¹, Ping Luo¹, Kaiyuan Li¹, Yufeng Sun¹, Shiwei Wang¹, Xiaoting Li^1,2,3, Shuang Liu^1,2,3, Linyan Xue^1,2,3,*

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 999-1015, 2023, DOI:10.32604/cmc.2023.035777

Abstract Due to small size and high occult, metacarpophalangeal fracture diagnosis displays a low accuracy in terms of fracture detection and location in X-ray images. To efficiently detect metacarpophalangeal fractures on X-ray images as the second opinion for radiologists, we proposed a novel one-stage neural network named MPFracNet based on RetinaNet. In MPFracNet, a deformable bottleneck block (DBB) was integrated into the bottleneck to better adapt to the geometric variation of the fractures. Furthermore, an integrated feature fusion module (IFFM) was employed to obtain more in-depth semantic and shallow detail features. Specifically, Focal Loss and Balanced L1 Loss were introduced to… More >

Pengfei Zhang^1,#, Yuqin Zhang^1,#, Qifeng Zhao², Tiequan Niu¹, Pengfei Wen^1,*, Jinjun Liang^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1125-1138, 2023, DOI:10.32604/phyton.2023.026227

Abstract Grape pistil has an important influence on fruit size and quality. However, there were few studies on grape ovary, and the development process of the ovary is still unclear. Therefore, in this paper, four different grape varieties with different lengths of small inflorescences, namely ‘Musct Hambourg’ grape (Vitis vinifera), ‘Concord’ grape (Vitis labrusca), ‘ShanPuTao’ grape (Vitis amurensis) and ‘GongNiang2Hao’ grape (Vitis amurensis × Vitis vinifera) were used as test materials. Four varieties ovary were significant differences by means of stereomicroscope, paraffin section. The expression of ovary determining gene VvAGAMOUS (VvAG) and its development related genes VvCRABS CLAW (VvCRC) and VvAGAMOUS-LIKE 11 … More >

Xin Yang^1,2, Qingling Chang^1,2, Shiting Xu³, Xinlin Liu^1,2, Yan Cui^1,2,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 573-592, 2023, DOI:10.32604/cmes.2023.023424

Abstract Monocular depth estimation is the basic task in computer vision. Its accuracy has tremendous improvement in the decade with the development of deep learning. However, the blurry boundary in the depth map is a serious problem. Researchers find that the blurry boundary is mainly caused by two factors. First, the low-level features, containing boundary and structure information, may be lost in deep networks during the convolution process. Second, the model ignores the errors introduced by the boundary area due to the few portions of the boundary area in the whole area, during the backpropagation. Focusing on the factors mentioned above.… More >