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Black radish root extract alleviates sodium valproate-induced liver damage via inhibiting mitochondrial membrane potential collapse and oxidative stress in mice

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Asian Pacific Journal of Tropical Biomedicine 2024年第7期14卷 298-306页

作者： mohammad Hadi Zarei Sami Akbulut Maryam Zafari Elham Saghaei Zahra Lorigooini Hossein AminiKhoei Somaye Khosravi Elham Bijad Medical Plants Research Center Basic Health Sciences InstituteShahrekord University of Medical SciencesShahrekordIran Department of Liver Transplant Institute and Biostatistics Inonu University Faculty of Medicine44280MalatyaTurkey Student Research Committee Shahrekord University of Medical SciencesShahrekordIran Physiology and Pharmacology Department School of MedicineShahrekord University of Medical SciencesShahrekordIran Department of Anatomical Sciences School of MedicineShahrekord University of Medical SciencesShahrekordIran

Objective:To explore the effect of black radish(Raphanus sativus *** niger)root extract on liver enzymes,oxidative stress,and histopathological alterations in mice with sodium valproate-induced ***:Thirty-two mice were divided into four groups:the control group received drinking water by gavage,the second group was administered with 100 mg/kg of sodium valproate,the third group received 300 mg/kg of black radish root extract,and the fourth group was given both sodium valproate(100 mg/kg)and black radish root extract(300 mg/kg).After 28 days,the mice were euthanized,and serum levels of aspartate aminotransferase(AST),alanine aminotransferase(ALT),and alkaline phosphatase(ALP),along with liver malondialdehyde(MDA),reactive oxygen species(ROS),mitochondrial parameters,tumor necrosis factor-alpha(TNF-α)gene expression,and histopathological changes were ***:Sodium valproate caused hepatic damage in mice,characterized by elevated serum levels of liver enzymes,increased MDA and ROS levels and TNF-αgene expression,as well as histopathological *** black radish root extract significantly alleviated sodium valproate-caused hepatic injury by decreasing the serum levels of ALT and AST,MDA,ROS,TNF-αgene expression,as well as mitochondrial impairment,but did not have a significant effect on sodium valproate-induced histopathological ***:The black radish root extract demonstrates protective effects against sodium valproate-induced liver injury,possibly through mitigating oxidative stress,mitochondrial impairment,and inflammatory mediator expression.

关键词： Black radish Raphanus sativus Sodium valproate Hepatotoxicity Oxidative stress Anti-inflammation

Tb^(3+)-nucleic acid probe-based label-free and rapid detection of mercury pollution in food

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Food Science and Human Wellness 2024年第2期13卷 993-998页

作者： Xuhan Xia Chenxi Zhou Yulin Zhu Yi Dong Qiang He mohammad Rizwan Khan Yuanlong Chi Rosa Busquets Ruijie Deng Yao Ren College of Biomass Science and Engineering Healthy Food Evaluation Research CenterSichuan UniversityChengdu 610065China Department of Chemistry College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia School of Life Sciences Pharmacy and ChemistryKingston University LondonKingston Upon Thames KT12EEUK

Mercury is a threatening pollutant in food,herein,we developed a Tb^(3+)-nucleic acid probe-based label-free assay for mix-and-read,rapid detection of mercury *** assay utilized the feature of light-up fluorescence of terbium ions(Tb^(3+))via binding with single-strand *** ion,Hg^(2+)induced thymine(T)-rich DNA strand to form a double-strand structure(T-Hg^(2+)-T),thus leading to fluorescence *** on the principle,Hg^(2+)can be quantified based on the fluorescence of Tb^(3+),the limit of detection was 0.0689μmol/L and the linear range was 0.1-6.0μmol/*** to the specificity of T-Hg^(2+)-T artificial base pair,the assay could distinguish Hg^(2+)from other metal *** recovery rate was ranged in 98.71%-101.34%for detecting mercury pollution in three food *** assay is low-cost,separation-free and mix-to-read,thus was a competitive tool for detection of mercury pollution to ensure food safety.

关键词： Mercury pollution Food safety Nucleic acid probe Label-free Terbium

High-Performance Flow Classification of Big Data Using Hybrid CPU-GPU Clusters of Cloud Environments

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Tsinghua Science and Technology 2024年第4期29卷 1118-1137页

作者： Azam Fazel-Najafabadi Mahdi Abbasi Hani H.Attar Ayman Amer Amir Taherkordi Azad Shokrollahi mohammad R.Khosravi Ahmed A.Solyman Department of Computer Engineering Faculty of EngineeringBu-Ali Sina UniversityHamedan ***Iran Department of Energy Engineering Zarqa UniversityZarqa 13132Jordan Department of Informatics University of OsloOslo 0316Norway Department of Computer Science MalmöUniversityMalmö20506Sweden Shandong Provincial University Laboratory for Protected Horticulture Weifang University of Science and TechnologyWeifang 261100China Department of Electrical and Electronics Engineering NişantaşıUniversityIstanbul 34481742Türkiye

The network switches in the data plane of Software Defined Networking (SDN) are empowered by an elementary process, in which enormous number of packets which resemble big volumes of data are classified into specific flows by matching them against a set of dynamic rules. This basic process accelerates the processing of data, so that instead of processing singular packets repeatedly, corresponding actions are performed on corresponding flows of packets. In this paper, first, we address limitations on a typical packet classification algorithm like Tuple Space Search (TSS). Then, we present a set of different scenarios to parallelize it on different parallel processing platforms, including Graphics Processing Units (GPUs), clusters of Central Processing Units (CPUs), and hybrid clusters. Experimental results show that the hybrid cluster provides the best platform for parallelizing packet classification algorithms, which promises the average throughput rate of 4.2 Million packets per second (Mpps). That is, the hybrid cluster produced by the integration of Compute Unified Device Architecture (CUDA), Message Passing Interface (MPI), and OpenMP programming model could classify 0.24 million packets per second more than the GPU cluster scheme. Such a packet classifier satisfies the required processing speed in the programmable network systems that would be used to communicate big medical data.

关键词： OpenMP Compute Unified Device Architecture(CUDA) Message Passing Interface(MPI) packet classification medical data tuple space algorithm Graphics Processing Unit(GPU)cluster

Robust Control of Robotic Manipulators in the Task-Space Using an Adaptive Observer Based on Chebyshev Polynomials

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Journal of Systems Science & Complexity 2020年第5期33卷 1360-1382页

作者： GHOLIPOUR Reza FATEH mohammad mehdi Department of Electrical and Robotic Engineering Shahrood University of Technology*** ShahroodIran

In this paper,an adaptive observer for robust control of robotic manipulators is *** lumped uncertainty is estimated using Chebyshev ***,the uncertainty upper bound is required in designing observer-controller ***,obtaining this bound is a challenging *** solve this problem,many uncertainty estimation techniques have been proposed in the literature based on neuro-fuzzy *** an alternative,in this paper,Chebyshev polynomials have been applied to uncertainty estimation due to their simpler structure and less computational *** on strictly-positive-rea Lyapunov theory,the stability of the closed-loop system can be *** Chebyshev coefficients are tuned based on the adaptation rules obtained in the stability ***,to compensate the truncation error of the Chebyshev polynomials,a continuous robust control term is designed while in previous related works,usually a discontinuous term is *** SCARA manipulator actuated by permanent magnet DC motors is used for computer *** results reveal the superiority of the designed method.

关键词： Adaptive observer Chebyshev polynomials electrically driven robot manipulators robust control uncertainty estimation

Comprehensive analysis of the role of ubiquitin-specific peptidases in colorectal cancer:A systematic review

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World Journal of Gastrointestinal Oncology 2024年第1期16卷 197-213页

作者： Eman Al-Balushi Amina Al Marzouqi Shima Tavoosi Amir Hossein Baghsheikhi Arash Sadri Leyla Sharifi Aliabadi mohammad-Mahdi Salarabedi Syed Azizur Rahman Nabeel Al-Yateem Alireza Mosavi Jarrahi Aram Halimi mohammad Ahmadvand Wael M Abdel-Rahman College of Health Sciences University of SharjahSharjah 27272United Arab Emirates Department of Biology Faculty of SciencesUniversity of IsfahanIsfahan 81746-73441Iran Department of Biology Science and Research BranchIslamic Azad UniversityTehran 11365/4435Iran Students’Scientific Research Center Tehran University of Medical SciencesTehran ***Iran Cell Therapy and Hematopoietic Stem Cell Transplantation Research Center Research Institute for OncologyHematologyand Cell TherapyTehran University of Medical SciencesTehran ***Iran Student Research Committee School of MedicineShahid Beheshti University of Medical SciencesTehran ***Iran Department of Nursing University of SharjahSharjah 27272United Arab Emirates Cancer Research Centre Shahid Beheshti University of Medical SciencesTehran ***Iran Department of Medical Laboratory Sciences University of SharjahSharjah 27272United Arab Emirates

BACKGROUND Colorectal cancer(CRC)is the third most frequent and the second most fatal *** search for more effective drugs to treat this disease is ongoing.A better understanding of the mechanisms of CRC development and progression may reveal new therapeutic ***-specific peptidases(USPs),the largest group of the deubiquitinase protein family,have long been implicated in various *** have been numerous studies on the role of USPs in CRC;however,a comprehensive view of this role is *** To provide a systematic review of the studies investigating the roles and functions of USPs in *** We systematically queried the MEDLINE(via PubMed),Scopus,and Web of Science *** Our study highlights the pivotal role of various USPs in several processes implicated in CRC:Regulation of the cell cycle,apoptosis,cancer stemness,epithelial–mesenchymal transition,metastasis,DNA repair,and drug *** findings of this study suggest that USPs have great potential as drug targets and noninvasive biomarkers in *** dysregulation of USPs in CRC contributes to drug resistance through multiple *** Targeting specific USPs involved in drug resistance pathways could provide a novel therapeutic strategy for overcoming resistance to current treatment regimens in CRC.

关键词： Ubiquitin-specific peptidases Colorectal cancer Deubiquitinase protein family Drug target discovery Biomarker discovery

Semantic Segmentation and YOLO Detector over Aerial Vehicle Images

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Computers, Materials & Continua 2024年第8期80卷 3315-3332页

作者： Asifa Mehmood Qureshi Abdul Haleem Butt Abdulwahab Alazeb Naif Al Mudawi mohammad Alonazi Nouf Abdullah Almujally Ahmad Jalal Hui Liu Faculty of Computing and AI Air UniversityIslamabad44000Pakistan Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Department of Information Systems College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Cognitive Systems Lab University of BremenBremen28359Germany

Intelligent vehicle tracking and detection are crucial tasks in the realm of highway ***,vehicles come in a range of sizes,which is challenging to detect,affecting the traffic monitoring system’s overall *** learning is considered to be an efficient method for object detection in vision-based *** this paper,we proposed a vision-based vehicle detection and tracking system based on a You Look Only Once version 5(YOLOv5)detector combined with a segmentation *** model consists of six *** the first step,all the extracted traffic sequence images are subjected to pre-processing to remove noise and enhance the contrast level of the *** pre-processed images are segmented by labelling each pixel to extract the uniform regions to aid the detection phase.A single-stage detector YOLOv5 is used to detect and locate vehicles in *** detection was exposed to Speeded Up Robust Feature(SURF)feature extraction to track multiple *** on this,a unique number is assigned to each vehicle to easily locate them in the succeeding image frames by extracting them using the feature-matching ***,we implemented a Kalman filter to track multiple *** the end,the vehicle path is estimated by using the centroid points of the rectangular bounding box predicted by the tracking *** experimental results and comparison reveal that our proposed vehicle detection and tracking system outperformed other state-of-the-art *** proposed implemented system provided 94.1%detection precision for Roundabout and 96.1%detection precision for Vehicle Aerial Imaging from Drone(VAID)datasets,respectively.

关键词： Semantic segmentation YOLOv5 vehicle detection and tracking Kalman filter SURF

Magnificent Frigatebird Optimization: A New Bio-Inspired Metaheuristic Approach for Solving Optimization Problems

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Computers, Materials & Continua 2024年第8期80卷 2721-2741页

作者： Tareq Hamadneh Khalid Kaabneh Ibraheem AbuFalahah Gulnara Bektemyssova Galymzhan Shaikemelev Dauren Umutkulov Sayan Omarov Zeinab Monrazeri Frank Werner mohammad Dehghani Department of Mathematics Al Zaytoonah University of JordanAmman11733Jordan Faculty of Information Technology Al-Ahliyya Amman UniversityAmman19328Jordan Department of Mathematics Faculty of ScienceThe Hashemite UniversityP.O.Box 330127Zarqa13133Jordan Department of Computer Engineering International Information Technology UniversityAlmaty050000Kazakhstan Department of Big Data Analytics and Data Science Software Development Company《QazCode》Almaty050063Kazakhstan Department of Electrical and Electronics Engineering Shiraz University of TechnologyShiraz***Iran Faculty of Mathematics Otto-von-Guericke UniversityP.O.Box 4120Magdeburg39016Germany

This paper introduces a groundbreaking metaheuristic algorithm named Magnificent Frigatebird Optimization(MFO),inspired by the unique behaviors observed in magnificent frigatebirds in their natural *** foundation of MFO is based on the kleptoparasitic behavior of these birds,where they steal prey from other *** this process,a magnificent frigatebird targets a food-carrying seabird,aggressively pecking at it until the seabird drops its *** frigatebird then swiftly dives to capture the abandoned prey before it falls into the *** theoretical framework of MFO is thoroughly detailed and mathematically represented,mimicking the frigatebird’s kleptoparasitic behavior in two distinct phases:exploration and *** the exploration phase,the algorithm searches for new potential solutions across a broad area,akin to the frigatebird scouting for vulnerable *** the exploitation phase,the algorithm fine-tunes the solutions,similar to the frigatebird focusing on a single target to secure its *** evaluate MFO’s performance,the algorithm is tested on twenty-three standard benchmark functions,including unimodal,high-dimensional multimodal,and fixed-dimensional multimodal *** results from these evaluations highlight MFO’s proficiency in balancing exploration and exploitation throughout the optimization *** studies with twelve well-known metaheuristic algo-rithms demonstrate that MFO consistently achieves superior optimization results,outperforming its competitors across various *** addition,the implementation of MFO on four engineering design problems shows the effectiveness of the proposed approach in handling real-world applications,thereby validating its practical utility and robustness.

关键词： Optimization metaheuristic magnificent frigatebirds exploration exploitation

Performance Comparison of Hyper-V and KVM for Cryptographic Tasks in Cloud Computing

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Computers, Materials & Continua 2024年第2期78卷 2023-2045页

作者： Nader Abdel Karim Osama A.Khashan Waleed K.Abdulraheem Moutaz Alazab Hasan Kanaker Mahmoud E.Farfoura mohammad Alshinwan Department of Intelligent Systems Faculty of Artificial IntelligenceAl-Balqa Applied UniversityAl-Salt1705Jordan Research and Innovation Centers Rabdan AcademyP.O.Box 114646Abu DhabiUnited Arab Emirates Department of Information Systems and Networks TheWorld Islamic Sciences and Education UniversityAmman11947Jordan Department of Cyber Security Isra UniversityAmman1162Jordan Faculty of Science and Information Technology Al-Zaytoonah University of JordanAmman11733Jordan Middle East University Research Unit Middle East UniversityAmman11831Jordan

As the extensive use of cloud computing raises questions about the security of any personal data stored there,cryptography is being used more frequently as a security tool to protect data confidentiality and privacy in the cloud environment.A hypervisor is a virtualization software used in cloud hosting to divide and allocate resources on various pieces of *** choice of hypervisor can significantly impact the performance of cryptographic operations in the cloud *** important issue that must be carefully examined is that no hypervisor is completely superior in terms of performance;Each hypervisor should be examined to meet specific *** main objective of this study is to provide accurate results to compare the performance of Hyper-V and Kernel-based Virtual Machine(KVM)while implementing different cryptographic algorithms to guide cloud service providers and end users in choosing the most suitable hypervisor for their cryptographic *** study evaluated the efficiency of two hypervisors,Hyper-V and KVM,in implementing six cryptographic algorithms:Rivest,Shamir,Adleman(RSA),Advanced Encryption Standard(AES),Triple Data Encryption Standard(TripleDES),Carlisle Adams and Stafford Tavares(CAST-128),BLOWFISH,and *** study’s findings show that KVM outperforms Hyper-V,with 12.2%less Central Processing Unit(CPU)use and 12.95%less time overall for encryption and decryption operations with various file *** study’s findings emphasize how crucial it is to pick a hypervisor that is appropriate for cryptographic needs in a cloud environment,which could assist both cloud service providers and end *** research may focus more on how various hypervisors perform while handling cryptographic workloads.

关键词： Cloud computing performance virtualization hypervisors Hyper-V KVM cryptographic algorithm

Bridging the gap: Addressing disparities in hepatitis C screening, access to care, and treatment outcomes

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World Journal of Hepatology 2024年第8期16卷 1091-1098页

作者： Maram Alenzi mohammad Almeqdadi Department of Medicine St.Elizabeth’s Medical CenterBoston UniversityMA 02135United States Department of Transplant and Hepatobiliary Disease Tufts Medical CenterBostonMA 02111United States

Hepatitis C virus(HCV)is a significant public health challenge globally,with substantial morbidity and mortality due to chronic liver *** the availability of highly effective and well-tolerated direct-acting antiviral therapies,widespread disparities remain in hepatitis C screening,access to treatment,linkage to care,and therapeutic *** review article synthesizes evi-dence from various studies to highlight the multifactorial nature of these dispari-ties,which affects ethnic minorities,people with lower socioeconomic status,in-dividuals with substance use disorders,and those within correctional *** review also discusses policy implications and targeted strategies needed to overcome barriers and ensure equitable care for all individuals with ***-mendations for future research to address gaps in knowledge and evaluation of the effectiveness of interventions designed to reduce disparities are provided.

关键词： Hepatitis C virus disparities Access to care Health equity Healthcare policy Patient education