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Occult HCV Infection (OCI) Diagnosis in Cirrhotic and Non-cirrhotic Naive Patients by Intra-PBMC Nested Viral RNA PCR

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Journal of Clinical and Translational Hepatology 2017年第4期5卷 319-326页

作者： Mohamed Darwish ahmed Abd Alla saleh ahmed elibiary George Y.Wu Mostafa Kamel El-Awady Tropical Medicine Department Faculty of MedicineAl-Azhar UniversityCairoEgypt Department of Medicine Division of Gastroenterology-HepatologyUniversity of Connecticut Health CenterFarmingtonCTUSA Department of Microbial Biotechnology National Research CenterCairoEgypt

Background and Aims:Occult HCV infections(OCIs)include IgG antibody seronegative cryptogenic(COCIs),as well as seropositive secondary na(i)ve(SNOCIs)and experienced(SEOCIs)*** used peripheral-blood-mononuclear-cell(PBMC)-PCR to evaluate COCIs and SNOCIs prevalence,serum HCV spontaneous disappearance(SCSD)in na(i)ve cirrhotics and non-cirrhotics,intra-PBMC HCV-RNA strands in relation to cirrhosis density in na(i)ve non-viremia cases,and HCV-RNA seroconversion after 1 year of solitary naive intra-PBMC ***:The anti-HCV IgG antibodypositive na(i)ve-patients(n=785)were classified into viremic(n=673)and non-viremic[n=112,including non-cirrhotics(n=55)and cirrhotics(n=57)],and 62 controls without evidence of *** and post-HCV non-viremia cases(n=62+112=174)were submitted to hepatic FibroscanElastography *** subjects(n=847)were screened for intra-PBMC HCV-RNA sense and antisense strands by ***:Na(i)ve-OCI cases(4.84%)that were diagnosed by PBMC-PCR significantly raised the total numbers of HCV-infection to 714(p=0.01).The percent positivity of SNOCIs(34.82%)was significantly higher than for asymptomatic-COCIs(3.125%,p=0.0001).Comparing PBMC-PCR with single-step-reverse-transcription(SRT)-PCR for identification of SCSD in na(i)ve IgG antibody-positive nonviremia patients(n=112)revealed a decline in SCSD prevalence by PBMC-PCR(from 14.27%to 9.3%),regardless of presence of hepatic cirrhosis(p=0.03).SCSD was found to be higher by PBMC-PCR in non-cirrhotics compared to cirrhotics(p=0.0001),with an insignificant difference when using SRT-PCR(p=0.45).Intra-PBMC HCV-RNA infection was significantly more frequent in cirrhotics compared to both non-cirrhotics and controls(p<0.0005).An increased hepatic fibrosis density was recognized in intra-PBMC HCV-RNA infection with sense(p=0.0001)or antisense strand(p=0.003).HCV-RNA seroconversion was associated with intra-PBMC infection when both sense and antisense strands were dete

关键词： OCIs PBMCs Na(i)ve Cirrhosis

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HCV Therapy Follow-up Fractionation (CTF2) by Intra-PBMC Nested RNA PCR Recognizes Early Virologic Response and Relapse

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Journal of Clinical and Translational Hepatology 2018年第2期6卷 147-154页

作者： Mohamed Darwish ahmed Abd Alla saleh ahmed elibiary Ramy Hassan Elshaboury George Y.Wu Reham M.Dawood Mostafa Kamel El Awady Tropical Medicine Department Faculty of MedicineAl-Azhar UniversityCairoEgypt Department of Pharmacy Massachusetts General HospitalBostonMAUSA Department of Medicine Division of Gastroenterology-HepatologyUniversity of Connecticut Health CenterHartfordCTUSA Department of Microbial Biotechnology National Research CenterCairoEgypt

Background and Aims:Sustained virologic response is evaluated by single-step reverse transcription(SRT)PCR as-say,which assesses hepatitis C virus(HCV)clearance from plasma but not from tissues such as peripheral blood mono-nuclear cells(PBMCs).Persistence of HCV RNA in PBMCs beyond end of treatment(EOT)is associated with *** goal was to measure intra-PBMC HCV RNA levels during oral antiviral therapy according to the HCV therapy follow-up fractionation(CTF2)***:Compen-sated chronic HCV patients(n=278 SRT-PCR positive)were scheduled to receive oral antiviral *** were followed-up by SRT and intra-PBMCs HCV RNA PCR at the end of the 2nd,6th,10th,14th,18th and 24th weeks to evaluate virus clearance from plasma and PBMCs,*** CTF2 protocol evaluated SRT and PBMC PCR status at each follow-up point for determining therapy continuation or inter-ruption to address cost ***:All patients tested negative by SRT PCR after therapy for 2 ***-cation of the CTF2 protocol revealed:a)increasing HCV clear-ance rate from 75.9%at the end of 10th week to 90.3%at the end of 24th week(p<0.00001);b)faster clearance of HCV from plasma compared to PBMCs at each point of follow-up until the 18th week(p<0.05);c)higher viral elimination rates diagnosed by PBMC HCV RNA PCR(?)compared to PBMC HCV RNA PCR(+)from the 6th to 24th week of treatment(p<0.0001);d)higher over-time increase curve of combined plasma and PBMC HCV RNA determined negativity compared to the decline in positivity curves by PBMC PCR at the 6th-18th week compared to the 24th week(p<0.01)—these results validated treatment continuation;and e)solitary evaluation of EOT sustained HCV infection and relapses by PBMC HCV RNA(p<0.001).Conclusions:Early elimination of serum and tissue(PBMC)HCV infection by oral antiviral therapy can be achieved and evaluated during a cost-effective CTF2 pro-tocol application.

关键词： CTF2 protocol HCV PBMCs PCR Cost-effectiveness

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Robust Multi-Output Machine Learning Regression for Seismic Hazard Model Using Peak Crust Acceleration Case Study,Turkey,Iraq and Iran

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Journal of Earth Science 2023年第5期34卷 1447-1464页

作者： Shaheen Mohammed saleh ahmed Hakan Guneyli Department of Geology College of ScienceKirkuk UniversityKirkuk 36001Iraq Department of Geology Faculty EngineeringCukurova UniversityBalcali-Adana 01330Turkey

This paper for the first time improved a Robust Multi-Output machine learning regression model for seismic hazard zoning of Turkey, Iraq and Iran using constructed 3-D shear-wave velocity(Vs), seismic tomography dataset model for the crust and uppermost mantle beneath the study area. The focus of this paper’s opportunity is to develop a scientific framework leveraging machine learning that will ultimately provide the rapid and more complete characterization of earthquake properties. This work can be targeted at improving the seismic hazard zones system ability to detect and associate seismic signals, or at estimating other seismic characteristics(crust acceleration and crust energy) while traditionally, methods cannot monitor the earthquakes system. This work has derived some physical equations for extraction of many variables as inputs for our developed machine learning model based on a reliable understanding of the tomography data to physical variables by preparing huge dataset from different physical conditions of crust. We have extracted the velocity values of the shear waves from the original NETCDF file, which contains the S velocity values for every one km of the depths of the crust for the study area from one km down to the uppermost mantle beneath the Middle East. For the first time, this study calculated new seismic hazard parameter called Peak Crust Acceleration(PCA) for seismic hazard analysis by considering the transmitted initial seismic energy through the Earthy wrote in python language ’s crust layers from hypocenter. All machine learning algorithms in this studusing anaconda platform the open-source Individual Edition(Distribution).

关键词： robust multi-output regressor tomography peak crust acceleration NETCDF machine learning hazards

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Blockchain for secure and decentralized artificial intelligence in cybersecurity: A comprehensive review

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Blockchain(Research and Applications) 2024年第3期5卷 184-208页

作者： ahmed M.Shamsan saleh Department of Information Technology University of TabukTabuk47512Saudi Arabia

As the use of artificial intelligence (AI) grows within the field of cybersecurity, so does the demand for secure and decentralized AI systems to protect against potential cyber threats. Blockchain technology has emerged as the ideal approach for increasing both the security and privacy of AI systems since it provides decentralized and immutable data storage. This systematic literature review focuses on the integration of blockchain technology with decentralized AI within cybersecurity. It provides a comprehensive taxonomy of blockchain technology and decentralized AI for cybersecurity, serving as the starting point for the study. This paper begins with an overview of blockchain technology and its possible uses in cybersecurity and also analyzes its challenges and opportunities. Decentralized AI is also covered in the study, along with its potential advantages and difficulties in decentralized AI cybersecurity. Building on that foundation, this study provides convincing findings highlighting the beneficial relationships between blockchain technology and decentralized AI for cybersecurity, contributing to a nuanced comprehension of their integration. Moreover, it offers real-world uses of blockchain-enabled, decentralized AI to discuss its usefulness in tackling cybersecurity concerns. Finally, this paper discusses future research directions for blockchain-enabled decentralized AI in cybersecurity, including potential applications and implications of this technology in the field, emphasizing the potential of blockchain-enabled decentralized AI in cybersecurity to enhance security, privacy, and trust in AI systems.

关键词： Blockchain Artificial intelligence Decentralized Cybersecurity

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Multi-Task Learning Model with Data Augmentation for Arabic Aspect-Based Sentiment Analysis

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Computers, Materials & Continua 2023年第5期75卷 4419-4444页

作者： Arwa Saif Fadel Osama ahmed Abulnaja Mostafa Elsayed saleh Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Faculty of Computer Sciences and EngineeringHodeidah UniversityYemen

Aspect-based sentiment analysis(ABSA)is a fine-grained *** fundamental subtasks are aspect termextraction(ATE)and aspect polarity classification(APC),and these subtasks are dependent and closely ***,most existing works on Arabic ABSA content separately address them,assume that aspect terms are preidentified,or use a pipeline *** solutions design different models for each task,and the output from the ATE model is used as the input to the APC model,which may result in error propagation among different steps because APC is affected by ATE *** methods are impractical for real-world scenarios where the ATE task is the base task for APC,and its result impacts the accuracy of ***,in this study,we focused on a multi-task learning model for Arabic ATE and APC in which the model is jointly trained on two subtasks simultaneously in a *** paper integrates themulti-task model,namely Local Cotext Foucse-Aspect Term Extraction and Polarity classification(LCF-ATEPC)and Arabic Bidirectional Encoder Representation from Transformers(AraBERT)as a shred layer for Arabic contextual text *** LCF-ATEPC model is based on a multi-head selfattention and local context focus mechanism(LCF)to capture the interactive information between an aspect and its ***,data augmentation techniques are proposed based on state-of-the-art augmentation techniques(word embedding substitution with constraints and contextual embedding(AraBERT))to increase the diversity of the training *** paper examined the effect of data augmentation on the multi-task model for Arabic *** experiments were conducted on the original and combined datasets(merging the original and augmented datasets).Experimental results demonstrate that the proposed Multi-task model outperformed existing APC *** results were obtained by AraBERT and LCF-ATEPC with fusion layer(AR-LCF-ATEPC-Fusion)and the proposed data augmentation

关键词： Arabic aspect extraction arabic sentiment classification AraBERT multi-task learning data augmentation

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An Intelligent Cluster Verification Model Using WSN to Avoid Close Proximity and Control Outbreak of Pandemic in a Massive Crowd

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Computer Modeling in Engineering & Sciences 2022年第11期133卷 327-350页

作者： Naeem ahmed Nawaz Norah saleh Alghamdi Hanen Karamti Mohammad Ayoub Khan Department of Computer Science Umm Al-Qura UniversityMakkah Al-Mukarmah24381Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia College of Computing and Information Technology University of BishaBisha67714Saudi Arabia

Assemblage at public places for religious or sports events has become an integral part of our *** gatherings pose a challenge at places where fast crowd verification with social distancing(SD)is required,especially during a ***,verification of crowds is carried out in the form of a queue that increases waiting time resulting in congestion,stampede,and the spread of *** article proposes a cluster verification model(CVM)using a wireless sensor network(WSN),single cluster approach(SCA),and split cluster approach(SpCA)to solve the aforementioned problem for pandemic *** show that SD,cluster approaches,and verification by WSN can overcome the management issues by optimizing the cluster size and verification ***,our proposed method minimizes the chances of spreading diseases and stampedes in large events such as a *** consider the assembly points in the annual pilgrimage to Makkah Al-Mukarmah and Umrah for verification using Contiki/Cooja *** compute results such as verified cluster members(CMs)to define cluster size,success rate to determine the best success rate,and verification time to determine the optimal verification time for various *** validate ourmodel by comparing the results of each approach with the existing *** results showthat the SpCAwith SD is the best approach with a 96% success rate and optimization of verification time as compared to SCA with SD and the existing model.

关键词： Cluster verification model wireless sensor network social distancing crowd single approach split approach

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Analogue Modelling of Fold-and-Thrust Belts Controlled by Multiple Detachment Layers: An Example from the Eastern Sichuan Basin

Analogue Modelling of Fold-and-Thrust Belts Controlled by Mu...

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作者： Mohammed saleh ahmed Gaghman 中国石油大学(华东)

学位级别：硕士

四川盆地位于中国西南部,经历了复杂的构造演化过程,也是中国油气资源最为丰富的盆地之一。四川盆地东部褶皱带(简称“川东褶皱带”)以发育隔档式褶皱为主要构造特征,构造变形较为复杂。同时,在川东褶皱带,发现了三套塑性滑脱层分别为... 详细信息

四川盆地位于中国西南部,经历了复杂的构造演化过程,也是中国油气资源最为丰富的盆地之一。四川盆地东部褶皱带(简称“川东褶皱带”)以发育隔档式褶皱为主要构造特征,构造变形较为复杂。同时,在川东褶皱带,发现了三套塑性滑脱层分别为中下寒武统膏盐岩、志留系泥岩、中下三叠统膏盐岩。以这三套滑脱层为界可将川东地层划分为三套构造层:深部寒武系-奥陶系构造层(以中下寒武统膏盐岩滑脱层为底界),中部石炭系-二叠系构造层(以志留系泥岩滑脱层为底界)和浅部中生界构造层(以中下三叠统膏盐岩滑脱层为底界)。三套滑脱层将川东地区垂向上划分为上中、下三套构造层,各构造层之间的构造变形具有显著差异。尽管前人已经针对川东褶皱带开展了大量的研究工作并取得了一定的认识,然而关于这三套滑脱层对川东褶皱带构造变形过程所起到的控制作用尚待明确。本文在地震解译和构造平衡恢复的基础之上,结合多滑脱层砂箱物理模拟实验开展研究,重点探讨川东地区多套滑脱层对川东褶皱带构造变形的控制作用。首先,通过地震解译和构造平衡恢复(Midland Valley),刻画出川东褶皱带的构造特征,其构造平衡恢复结果表明:川东褶皱带最大缩短量为26.13km(缩短率约为20.34%),最大缩短速率为0.090 mm/a。在此基础上,根据川东褶皱带地层发育特点和构造特征,设置了五组构造物理模拟实验,通过控制滑脱层数量、滑脱层厚度、缩短量与缩短速率等参数,模拟和研究川东褶皱带构造变形的运动学过程,并定量评价了构造变形的过程。实验结果表明,滑脱层配置(数量、垂向分布等)和变形速率对川东多套滑脱层发育区的构造变形样式及构造演化过程具有重要的控制作用:(1)深部滑脱层的拆离效果显著强于浅部滑脱层,导致垂向上深部构造层内的构造变形差异性高于浅部构造层(2)缩短速率减小时,滑脱层的拆离效果明显增加,各构造层变形样式的差异性也随之增强。结合地震资料和砂箱模拟实验结果分析,推测川东地区在早期弱挤压变形阶段(缩短速率较低),其三套滑脱层的拆离作用明显,以发育滑脱褶皱及小型调节断层为主要构造变形特征,同时各构造层变形特征产生了明显的垂向差异性;在后期强烈挤压变形阶段(缩短速率快速提升),缩短速率限制了各滑脱层的拆离作用,各构造层以发育高陡逆冲断层和反冲断层为主,变形特征趋于一致。

关键词：四川盆地褶皱冲断带多滑脱层构造平衡恢复构造物理模拟

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Thermochemical Aspects of Activated Ammonium Perchlorates with Superior Thermal Stability,Decomposition Enthalpy,Propagation Index,and Decomposition Kinetic Parameters

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Journal of Thermal Science 2021年第6期30卷 2196-2201页

作者： SHERIF Elbasuney M.Yehia SHUKRI Ismael SHERIF Farag ahmed saleh GHARIEB S.El-Sayyad Head of Nanotechnology Research Center Military Technical College(MTC)Cairo 11646Egypt School of Chemical Engineering Military Technical College(MTC)Cairo 11646Egypt Science and Technology Center of Excellence Cairo 11646Egypt Drug Radiation Research Department National Center for Radiation Research and Technology(NCRRT)Egyptian Atomic Energy Authority(EAEA)Cairo 11646Egypt

Ammonium perchlorate(AP)includes oxidizing and reducing elements on the same *** can act as an efficient oxidizer and mono-propellant as *** this study,AP experienced crystallographic phase change from orthorhombic centrosymmetric to non-centrosymmetric under controlled isothermal heat *** diffractograms confirmed this crystallographic phase *** thermal behaviour of activated AP had been investigated using *** AP demonstrated high chemical stability with an increase in endothermic phase transition enthalpy by 170%.The enthalpy of the subsequent two main exothermic decomposition reactions was increased by 250%.Whereas AP demonstrated total decomposition enthalpy of 733 J/g,activated AP showed 2614 J/*** AP can secure self-sustained response at a high *** index(combustion enthalpy/ignition temperature)was employed to assess self-sustained reaction *** AP demonstrated high propagation index of 8.7 compared with 2.5 for un-activated *** decomposition kinetic parameters had investigated using Kissinger and KAS *** AP showed an increase in activation energy by 89%using the Kissinger method;kinetic parameters using the KAS method were in good agreement with the Kissinger *** can have concluded that AP with novel kinetic decomposition parameters for enhanced safety storage and high combustion characteristics has evolved.

关键词： solid propellants oxidizers thermal behavior Kinetic parameters activation energy

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Combinatory effect of hesperetin and mesenchymal stem cells on the deteriorated lipid profile,heart and kidney functions and antioxidant activity in STZ-induced diabetic rats

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BIOCELL 2020年第1期44卷 27-39页

作者： Osama M.ahmed Mohamed A.HASSAN Ablaa S.saleh Experimental Obesity and Diabetes Research Lab(EODRL) Physiology DivisionZoology DepartmentFaculty of ScienceBeni-Suef UniversityPO 62521Beni-SuefEgypt Biochemistry Department Faculty of ScienceBeni-Suef UniversityPO 62521Beni-SuefEgypt

This study aimed to assess the effect of hesperetin and/or bone marrow-derived mesenchymal stem cells(BM-MSCs)on disturbed lipid profile,heart and kidney functions,oxidative stress and antioxidant defense system in streptozotocin(STZ)-induced diabetic *** 1 diabetes mellitus(T1DM)was induced in male Wistar rats by injecting 40 mg/kg body weight(b.w.)STZ dissolved in citrate buffer(pH 4.5).The diabetic rats were treated with hesperetin orally administered at dose 20 mg/kg b.w.,BM-MSCs intravenously injected at a dose of 1 x 106 cells/rat/week and their combination for 6 *** diabetic rats exhibited lipid abnormalities manifested by elevated serum levels of total cholesterol,triglycerides,LDL-cholesterol and VLDL-cholesterol and lowered HDL-cholesterol as well as elevated liver cholesterol and triglycerides content in association with the resultant fasting and postprandial hyperglycemia and insulin *** heart function biomarkers including CK-MB,AST and LDH activities as well as levels of kidney function parameters,creatinine,and urea,were significantly raised in the serum of diabetic *** changes were concomitant with abnormal redox balance represented by elevated lipid peroxidation,decreased glutathione content,and suppressed antioxidant enzyme activities in both heart and kidney of diabetic *** previous deleterious alterations were significantly ameliorated after the treatment of diabetic rats with hesperetin and BM-MSCs singly or in combination;the treatment with hesperetin together with BM-MSCs was the most *** on these findings,it can be concluded that the use of hesperetin with BM-MSCs may have more additive therapeutic value than their uses singly in *** addition,the ameliorative effects of hesperetin and BM-MSCs on lipid profile and heart and kidney functions in diabetic rats may be mediated,at least in part,via their suppressive effects on oxidative stress and ameliorative effects on the antioxidant defense system

关键词： BM-MSCs Hesperetin Streptozotocin-induced diabetes

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X-ray Image-Based COVID-19 Patient Detection Using Machine Learning-Based Techniques

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Computer Systems Science & Engineering 2022年第11期43卷 671-682页

作者： Shabana Habib saleh Alyahya Aizaz ahmed Muhammad Islam Sheroz Khan Ishrat Khan Muhammad Kamil Department of Information Technology College of ComputerQassim UniversityBuraidah52571Saudi Arabia Department of Electrical Engineering College of Engineering&Information TechnologyOnaizah CollegesOnaizah51911Saudi Arabia Digital Image Processing Lab Islamia CollegePeshawar25120KPKPakistan Department of Computer Science College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Electrical Engineering National University of Computer and Emerging SciencesPeshawarPakistan

In early December 2019,the city of Wuhan,China,reported an outbreak of coronavirus disease(COVID-19),caused by a novel severe acute respiratory syndrome coronavirus-2(SARS-CoV-2).On January 30,2020,the World Health Organization(WHO)declared the outbreak a global pandemic *** the face of the COVID-19 pandemic,the most important step has been the effective diagnosis and monitoring of infected *** COVID-19 using Machine Learning(ML)technologies can help the health care unit through assistive diagnostic suggestions,which can reduce the health unit's burden to a certain *** paper investigates the possibilities of ML techniques in identifying/detecting COVID-19 patients including both conventional and exploring from chest X-ray images the effect of viral *** approach includes preprocessing,feature extraction,and ***,the features are extracted using the Histogram of Oriented(HOG)and Local Binary Pattern(LBP)feature ***,for the extracted features classification,six ML models of Support Vector Machine(SVM)and K-Nearest Neighbor(KNN)is *** results show that the diagnostic accuracy of random forest classifier(RFC)on extracted HOG plusLBP features is as high as 94%followed by SVM at 93%.The sensitivity of the K-nearest neighbour model has reached an accuracy of 88%.Overall,the predicted approach has shown higher classification accuracy and effective diagnostic *** is a highly useful tool for clinical practitioners and radiologists to help them in diagnosing and tracking the cases of COVID-19.

关键词： Image pre-processing detection classification x-ray images filter

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