Yuhan Xie¹, Shaden A. M. Khalifa², Hesham R. El-Seedi³, Paolo Coghi^1,4,*

Oncology Research, Vol.33, No.10, pp. 2673-2697, 2025, DOI:10.32604/or.2025.067666 - 26 September 2025

Abstract Podophyllotoxin is a well-studied natural product. Because of its unique structure and ability to inhibit cancer cells, it has been changed in different ways to find out its pharmacological properties. This paper discusses the common chemical modifications of podophyllotoxin molecules, including the C-4 and E-4 site replacements. Furthermore, its common inhibitory effects on cancer cells and antiparasitic activities, among others, are outlined by the connection between conformational changes and pharmacological activities. Importantly, Podophyllotoxin can effectively overcome the phenomenon of multidrug resistance through a dual-targeting mechanism, including inhibition of microtubule protein synthesis and topoisomerase II activity, More > Graphic Abstract

Bismillah Mubeen^1,2,#, Ammarah Hasnain^2,3,#,*, Syed Atif Hasan Naqvi⁴, Fahad Hakim⁵, Syed Sheharyar Hassan Naqvi⁶, Muhammad Zeeshan Hassan⁴, Muhammad Umer Iqbal⁷, Mahmoud Moustafa⁸, Mohammed O. Alshaharni⁸, Mingzheng Duan^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.7, pp. 1941-1971, 2025, DOI:10.32604/phyton.2025.064056 - 31 July 2025

Abstract Plants have long served as a cornerstone for drug discovery, offering a vast repertoire of bioactive compounds with proven efficacy in combating oxidative stress, a pivotal driver of chronic diseases such as cancer, diabetes, cardiovascular disorders, and neurodegenerative conditions. This review synthesizes current knowledge on plant-derived antioxidants, emphasizing their mechanisms, therapeutic potential, and quantitative efficacy validated through standardized assays. Key phytochemicals, including polyphenols, carotenoids, flavonoids, and terpenoids, neutralize reactive oxygen species (ROS) through radical scavenging, enzyme modulation, and gene regulation. For instance, lutein, a carotenoid found in leafy greens, demonstrates potent antioxidant activity with IC₅₀ values… More >

Mustafa Mohammed Alhassow^1,*, Oguz Ata², Dogu Cagdas Atilla¹

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 749-771, 2024, DOI:10.32604/cmc.2024.055592 - 15 October 2024

Abstract This study investigates robot path planning for multiple agents, focusing on the critical requirement that agents can pursue concurrent pathways without collisions. Each agent is assigned a task within the environment to reach a designated destination. When the map or goal changes unexpectedly, particularly in dynamic and unknown environments, it can lead to potential failures or performance degradation in various ways. Additionally, priority inheritance plays a significant role in path planning and can impact performance. This study proposes a Conflict-Based Search (CBS) approach, introducing a unique hierarchical search mechanism for planning paths for multiple robots.… More >

Xujun Li^*, Guodong Fang, Liming Rao, Tengze Zhang

Computer Systems Science and Engineering, Vol.47, No.2, pp. 2671-2688, 2023, DOI:10.32604/csse.2023.038154 - 28 July 2023

Abstract To improve the tracking accuracy of persons in the surveillance video, we proposed an algorithm for multi-target tracking persons based on deep learning. In this paper, we used You Only Look Once v5 (YOLOv5) to obtain person targets of each frame in the video and used Simple Online and Realtime Tracking with a Deep Association Metric (DeepSORT) to do cascade matching and Intersection Over Union (IOU) matching of person targets between different frames. To solve the IDSwitch problem caused by the low feature extraction ability of the Re-Identification (ReID) network in the process of cascade… More >

Li Xu^1,2,*, Ruzhen Lou¹, Chuanbin Zhang¹, Bo Lang³, Weiyue Ding⁴

CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 4489-4507, 2022, DOI:10.32604/cmc.2022.027400 - 21 April 2022

Abstract In the heavy clutter environment, the information capacity is large, the relationships among information are complicated, and track initiation often has a high false alarm rate or missing alarm rate. Obviously, it is a difficult task to get a high-quality track initiation in the limited measurement cycles. This paper studies the multi-target track initiation in heavy clutter. At first, a relaxed logic-based clutter filter algorithm is presented. In the algorithm, the raw measurement is filtered by using the relaxed logic method. We not only design a kind of incremental and adaptive filtering gate, but also… More >

RUXIN ZHANG¹, CHENGGANG LI², RUOCHEN DU¹, YITONG YUAN¹, BICHUN ZHAO¹, YUJUAN ZHANG¹, CHUNFANG WANG^1,*

BIOCELL, Vol.46, No.3, pp. 583-592, 2022, DOI:10.32604/biocell.2022.017248 - 18 November 2021

Abstract Extracellular β-amyloid (Aβ) plaques and neurofibrillary tangles (NFTs) are the pathological hallmarks of Alzheimer’s disease (AD). Studies have shown that aggregates of extracellular Aβ can induce neuroinflammation mediated neurotoxic signaling through microglial activation and release of pro-inflammatory factors. Thus, modulation of Aβ might be a potential therapeutic strategy for modifying disease progression. Recently, a large number of reports have confirmed the beneficial effects of mesenchymal stem cells (MSCs) on AD. It is believed to reduce neuroinflammation, reduce Aβ amyloid deposits and NFTs, increase acetylcholine levels, promote neurogenesis, reduce neuronal damage, and improve working memory and More >

Liang Mu, Hong Zhao^*, Yan Li, Xiaotong Liu, Junzheng Qiu, Chuanlong Sun

CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.2, pp. 465-483, 2021, DOI:10.32604/cmes.2021.017276 - 08 October 2021

Abstract Traffic flow statistics have become a particularly important part of intelligent transportation. To solve the problems of low real-time robustness and accuracy in traffic flow statistics. In the DeepSort tracking algorithm, the Kalman filter (KF), which is only suitable for linear problems, is replaced by the extended Kalman filter (EKF), which can effectively solve nonlinear problems and integrate the Histogram of Oriented Gradient (HOG) of the target. The multi-target tracking framework was constructed with YOLO V5 target detection algorithm. An efficient and long-running Traffic Flow Statistical framework (TFSF) is established based on the tracking framework.… More >

Xinyue Lv¹, Xiaofeng Lian^2,*, Li Tan¹, Yanyan Song¹, Chenyu Wang³

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 513-526, 2021, DOI:10.32604/iasc.2021.016450 - 01 April 2021

Abstract With the rapid development of the Internet of Things and advanced sensors, vision-based monitoring and forecasting applications have been widely used. In the context of the Internet of Things, visual devices can be regarded as network perception nodes that perform complex tasks, such as real-time monitoring of road traffic flow, target detection, and multi-target tracking. We propose the High-Performance detection and Multi-Correlation measurement algorithm (HPMC) to address the problem of target occlusion and perform trajectory correlation matching for multi-target tracking. The algorithm consists of three modules: 1) For the detection module, we proposed the You… More >

Yuheng Sun¹, Ye Mu^{1, 2, 3, 4, *}, Qin Feng⁵, Tianli Hu^{1, 2, 3, 4}, He Gong^{1, 2, 3, 4}, Shijun Li^{1, 2, 3, 4}, Jing Zhou⁶

CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1317-1328, 2020, DOI:10.32604/cmc.2020.010510 - 10 June 2020

Abstract In large-scale deer farming image analysis, K-means or maximum betweenclass variance (Otsu) algorithms can be used to distinguish the deer from the background. However, in an actual breeding environment, the barbed wire or chain-link fencing has a certain isolating effect on the deer which greatly interferes with the identification of the individual deer. Also, when the target and background grey values are similar, the multiple background targets cannot be completely separated. To better identify the posture and behaviour of deer in a deer shed, we used digital image processing to separate the deer from the… More >

Ao Feng¹, Zhengjie Gao^{1, *}, Xinyu Song¹, Ke Ke², Tianhao Xu¹, Xuelei Zhang¹

CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 909-923, 2020, DOI:10.32604/cmc.2020.09913 - 10 June 2020

Abstract Existing solutions do not work well when multi-targets coexist in a sentence. The reason is that the existing solution is usually to separate multiple targets and process them separately. If the original sentence has N target, the original sentence will be repeated for N times, and only one target will be processed each time. To some extent, this approach degenerates the fine-grained sentiment classification task into the sentencelevel sentiment classification task, and the research method of processing the target separately ignores the internal relation and interaction between the targets. Based on the above considerations, we… More >