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Early detection of hepatocellular carcinoma co-occurring with hepatitis C virus infection: A mathematical model

World Journal of Gastroenterology 2016年第16期22卷 4168-4182页

作者： Abdel-Rahman Nabawy Zekri Amira Salah El-Din Youssef Yasser Mabrouk Bakr Reham mohamed Gabr Ola sayed ahmed Mostafa Hamed Elberry ahmed Mahmoud Mayla mohamed Abouelhoda Abeer A Bahnassy Molecular Virology and Immunology Unit Cancer Biology Department National Cancer Institute Cairo University Systems and Biomedical Engineering Department Faculty of Engineering Cairo University Center for Informatics Sciences Nile University Sheikh Zayed City Pathology Department National Cancer Institute Cairo University

AIM: To develop a mathematical model for the early detection of hepatocellular carcinoma (HCC) with a panel of serum proteins in combination with α-fetoprotein (AFP).METHODS: Serum levels of interleukin (IL)-8, soluble intercellular adhesion molecule-1 (sICAM-1), soluble tumor necrosis factor receptor II (sTNF-RII), proteasome, and β-catenin were measured in 479 subjects categorized into four groups: (1) HCC concurrent with hepatitis C virus (HCV) infection (n = 192); (2) HCV related liver cirrhosis (LC) (n = 96); (3) Chronic hepatitis C (CHC) (n = 96); and (4) Healthy controls (n = 95). The R package and different modules for binary and multi-class classifiers based on generalized linear models were used to model the data. Predictive power was used to evaluate the performance of the model. Receiver operating characteristic curve analysis over pairs of groups was used to identify the best cutoffs differentiating the different ***: We revealed mathematical models, based on a binary classifier, made up of a unique panel of serum proteins that improved the individual performance of AFP in discriminating HCC patients from patients with chronic liver disease either with or without cirrhosis. We discriminated the HCC group from the cirrhotic liver group using a mathematical model (-11.3 + 7.38 × Prot + 0.00108 × sICAM + 0.2574 × β-catenin + 0.01597 × AFP) with a cutoff of 0.6552, which achieved 98.8% specificity and 89.1% sensitivity. For the discrimination of the HCC group from the CHC group, we used a mathematical model [-10.40 + 1.416 × proteasome + 0.002024 × IL + 0.004096 × sICAM-1 + (4.251 × 10-4) × sTNF + 0.02567 × β-catenin + 0.02442 × AFP] with a cutoff 0.744 and achieved 96.8% specificity and 89.7% sensitivity. Additionally, we derived an algorithm, based on a binary classifier, for resolving the multi-class classification

关键词： Mathematical model Hepatocellular carcinoma α -fetoprotein Soluble intercellular adhesion molecule-1 β -catenin Interleukin-8 Soluble tumor necrosis factor receptor II Proteasome

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Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin,Asir Region,Saudi Arabia

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Geoscience Frontiers 2021年第2期12卷 639-655页

作者： ahmed mohamed Youssef Hamid Reza Pourghasemi Geology Department Faculty of ScienceSohag UniversityEgypt Geological Hazards Department Applied Geology SectorSaudi Geological SurveyP.O.Box 54141Jeddah21514Saudi Arabia Department of Natural Resources and Environmental Engineering College of AgricultureShiraz UniversityShirazIran

The current study aimed at evaluating the capabilities of seven advanced machine learning techniques(MLTs),including,Support Vector Machine(SVM),Random Forest(RF),Multivariate Adaptive Regression Spline(MARS),Artificial Neural Network(ANN),Quadratic Discriminant Analysis(QDA),Linear Discriminant Analysis(LDA),and Naive Bayes(NB),for landslide susceptibility modeling and comparison of their *** machine learning algorithms with spatial data types for landslide susceptibility mapping is a vitally important *** study was carried out using GIS and R open source software at Abha Basin,Asir Region,Saudi ***,a total of 243 landslide locations were identified at Abha Basin to prepare the landslide inventory map using different data *** the landslide areas were randomly separated into two groups with a ratio of 70%for training and 30%for validating *** landslide-variables were generated for landslide susceptibility modeling,which include altitude,lithology,distance to faults,normalized difference vegetation index(NDVI),landuse/landcover(LULC),distance to roads,slope angle,distance to streams,profile curvature,plan curvature,slope length(LS),and *** area under curve(AUC-ROC)approach has been applied to evaluate,validate,and compare the MLTs *** results indicated that AUC values for seven MLTs range from 89.0%for QDA to 95.1%for *** findings showed that the RF(AUC=95.1%)and LDA(AUC=941.7%)have produced the best performances in comparison to other *** outcome of this study and the landslide susceptibility maps would be useful for environmental protection.

关键词： Landslide susceptibility Machine learning algorithms Variables importance Saudi Arabia

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Impact of cirrhosis on surgical outcome after pancreaticoduodenectomy

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World Journal of Gastroenterology 2013年第41期19卷 7129-7137页

作者： Ayman El Nakeeb Ahmad M Sultan Tarek Salah mohamed El Hemaly Emad Hamdy Ali Salem ahmed Moneer Rami said ahmed AbuEleneen Mostafa Abu Zeid Talaat Abdallah mohamed Abdel Wahab Gastroenterology surgical center Mansoura UniversityMansoura 35516Egypt

AIM:To elucidate surgical outcomes of pancreaticoduodenectomy(PD)in patients with liver ***:We studied retrospectively all patients who underwent PD in our centre between January 2002and December *** A comprised patients with cirrhotic livers,and Group B comprised patients with non-cirrhotic *** cirrhotic patients had ChildPugh classes A and B(patient’s score less than 8).Preoperative demographic data,intra-operative data and postoperative details were *** primary outcome measure was hospital mortality *** outcomes analysed included duration of the operation,postoperative hospital stay,postoperative morbidity and survival ***:Only 67/442 patients(15.2%)had cirrhotic *** blood loss and blood transfusion were significantly higher in group A(P=0.0001).The mean surgical time in group A was significantly longer than that in group B(P=0.0001).Wound complications(P=0.02),internal haemorrhage(P=0.05),pancreatic fistula(P=0.02)and hospital mortality(P=0.0001)were significantly higher in the cirrhotic *** stay was significantly longer in group A(P=0.03).The median survival was 19 mo in group A and 24 mo in group *** hypertension(PHT)was present in 16/67 cases of cirrhosis(23.9%).The intraoperative blood loss and blood transfusion were significantly higher in patients with PHT(P=0.001).Postoperative morbidity(0.07)and hospital mortality(P=0.007)were higher in cirrhotic patients with ***:Patients with periampullary tumours and well-compensated chronic liver disease should be routinely considered for PD at high volume centres with available expertise to manage liver *** is associated with an increased risk of postoperative morbidity in patients with liver cirrhosis;therefore,it is only recommended in patients with Child A cirrhosis without portal hypertension.

关键词： Periampullary tumour Liver cirrhosis Portal hypertension Pancreaticoduodenectomy

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Direct Power Control Based on Dead-beat Function and Extended Kalman Filter for PV Systems

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Journal of Modern Power Systems and Clean Energy 2023年第3期11卷 863-872页

作者： Mostafa ahmed Ibrahim Harbi Ralph Kennel mohamed Abdelrahem Chair of High-Power Converter Systems(HLU) Technical University of Munich(TUM)80333 MunichGermany Department of Electrical Engineering Faculty of EngineeringAssiut UniversityAssiut 71515Egypt Department of Electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Koum 32511Egypt IEEE

In this paper,a new proposal for the implementation of the well-known direct power control(DPC)technique in grid-connected photovoltaic(PV)systems is ***,the DPC is executed using a look-up table procedure based on the error between the actual and reference values of the active and reactive ***,the structure of the DPC is simple and results in a fast transient behavior of the inner current loop(injected currents).Therefore,in the current study,the DPC is reformulated using a dead-beat *** this formulation,the reference voltage vector(RVV)is obtained in theα-βreference ***,the switching states for the inverter can be obtained based on the sign of the components of the *** suggested DPC is compared with the conventional one and other switching tables,which are intended for performance ***,an extended Kalman filter(EKF)is utilized to eliminate all grid-voltage ***,the switching frequency of the proposed technique is minimized without any need for weighting factors or cost function *** overall control technique is validated using a hardware-in-the-loop(HIL)experimental set-up and compared with other schemes under different operating conditions.

关键词： Photovoltaic(PV)system direct power control(DPC) sensorless control switching frequency minimization weighting factor

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Experimental Investigation on Saline Water Purification Using Reverse Osmosis by a Novus Biomimetic Membrane

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Journal of Bionic Engineering 2022年第3期19卷 816-836页

作者： Yasin Edmam Iman Nadim ahmed sayed Abul Monsur Anachh Kazi Abu Manjur Department of Civil Engineering Mymensingh Engineering CollegeUniversity of DhakaMymensingh2208Bangladesh Department of Civil Engineering Dhaka University of Engineering&TechnologyGazipur1707Bangladesh

A substantial amount of Earth’s water is inadequate for human consumption while local demand is outstripping traditional supplies in many world regions;thereby,brackish and seawater treatment has become a *** investigation suggested a complete design of an RO-based desalination filter with a multilayer biomimetic *** study demonstrated a comprehensive method for experimentally fabricating a proprietary biomaterial-based multilayer nano-porous *** analysis revealed that Silk Nano-Fibril(SNF)and Hydroxyapatite(HAP)extracted from Bombyx Mori silkworm cocoons may be utilized to manufacture highly methodical multilayer membranes by incorporating protein-self-assembly and ***’s aquaporin layer containing lipid-bilayers has rapid water permeability and high efficacy at eliminating salt ions and *** 4µm thick SNF/HAP membrane showed a considerable decrease in salinity,with a salt rejection of 93.33%.The proposed membrane had a saline water permeability of 6.58 LMH/bar,almost 61.09%higher than conventional TFC *** barrier and spiral-wrapped filter architecture of the membrane enable low fouling and self-cleaning *** schematic filter design and biomimetic fabrication of the SNF/HAP membrane have formulated a conceptual framework that might direct to the broad-scale,low-cost RO water purification filters,increasing the efficiency of water desalination and boosting the effectiveness of water treatment technologies to reduce potable water scarcity.

关键词： Desalination applications Reverse osmosis membrane architecture Biomimetic synthesis Nano-filtration Water purification

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Preparation and characterization of (CeO2)x-(Fe2O3)1-x nanocomposites:reduction kinetics and hydrogen storage

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Rare Metals 2020年第3期39卷 218-229页

作者： Shimaa G.sayed Waleed M.A.El Rouby ahmed A.Farghali Materials Science and Nanotechnology Department Faculty of Postgraduate Studies for Advanced Science(PSAS)Beni-Suef UniversityBeni Suef62511Egypt

A series of nanosized CeO2-Fe2O3 mixed-oxide nanocomposites with different Ce4+/Fe3+molar ratios were successfully prepared by a co-precipitation *** surface area increased with Fe2O3 content increasing up to 60 wt%in the ***,with further increase in Fe2O3 content,the surface area began to *** reduction processes of the CeO2-Fe2O3 nanocomposites were studied in a hydrogen atmosphere at 300-600℃.The reduction rates increased by increasing both the temperature and Fe2O3 content in the *** microstructure of the reduced composites at 500℃illustrated the presence of a considerable number of macro-and *** activation energy values were calculated which were in the range of 3.56-5.37 kJ mol-1 at the initial stages(up to 35%reduction)and 5.21-10.2 kJ·mol-1 at the final stages(up to 80%reduction)of *** rate-controlling mechanisms in both the initial and final reduction stages were determined,and the initial reaction stage was controlled by combined gaseous diffusion and interfacial chemical reaction mechanisms for all the composites except for pure CeO2,which was controlled by a chemical reaction *** final reaction stage was controlled by a gaseous diffusion mechanism for some composites,while for the others it was controlled by combined gaseous diffusion and interfacial chemical reaction *** hydrogen sorption properties of the nanocomposites were studied by pressure composition isotherms using a volumetric *** storage in the nanocomposites increased by increasing the temperature because of the formation of oxygen vacancies which enhance atomic H adsorption and function as strong adsorption sites forming more metal hydride covalent bonds.

关键词： CeO2-Fe2O3 nanocomposite Reduction kinetics Reduction mechanism Hydrogen storage Oxygen vacancies

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A Multi-Level Threshold Method for Edge Detection and Segmentation Based on Entropy

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Computers, Materials & Continua 2020年第4期63卷 1-16页

作者： mohamed A.El-sayed Abdelmgeid A.Ali mohamed E.Hussien Hameda A.Sennary Department of Mathematics Faculty of ScienceFayoum UniversityFayoumEgypt.CurrentlyComputer Science DepartmentTaif UniversityTaifSaudi Arabia Computer Science Department Faculty of Computers and Information Minia UniversityMiniaEgypt Department of Mathematics Faculty of ScienceAswan UniversityAswanEgypt

The essential tool in image processing,computer vision and machine vision is edge detection,especially in the fields of feature extraction and feature *** is a basic area in information *** entropy,in image processing field has a role associated with image *** an initial step in image processing,the entropy is always used the image’s segmentation to determine the regions of image which is used to separate the background and objects in *** segmentation known as the process which divides the image into multiple regions or sets of *** applications have been development to enhance the image *** paper utilizes the Shannon entropy to achieve edge detection process and segmentation of the *** introduces a new method of edge detection for 2-D histogram and Shannon entropy based on multilevel *** method utilizes the gray value and the average gray value of the pixels to achieve the two dimensional *** current method has apriority in comparison to some upper classical *** experimental results exhibited that the proposed method could capture a moderate quality and execution time better than other comparative methods,particularly in the largest images *** proposed method offers good results when applied with images of different sizes from the civilization of ancient Egyptians.

关键词： Multi-level threshold edge detection 2D histogram entropy

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Intelligent Slime Mould Optimization with Deep Learning Enabled Traffic Prediction in Smart Cities

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Computers, Materials & Continua 2022年第12期73卷 6563-6577页

作者： Manar ahmed Hamza Hadeel Alsolai Jaber S.Alzahrani Mohammad Alamgeer mohamed Mahmoud sayed Abu Sarwar Zamani Ishfaq Yaseen Abdelwahed Motwakel Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer Science and Bioinformatics Singhania UniversityPacheri BariDistrict JhnujhunuRajasthanIndia Department of Architectural Engineering Faculty of Engineering and TechnologyFuture University in EgyptNew Cairo11835Egypt

Intelligent Transportation System(ITS)is one of the revolutionary technologies in smart cities that helps in reducing traffic congestion and enhancing traffic *** the help of big data and communication technologies,ITS offers real-time investigation and highly-effective traffic *** Flow Prediction(TFP)is a vital element in smart city management and is used to forecast the upcoming traffic conditions on transportation network based on past *** Network(NN)and Machine Learning(ML)models are widely utilized in resolving real-time issues since these methods are capable of dealing with adaptive data over a period of *** Learning(DL)is a kind of ML technique which yields effective performance on data classification and prediction *** this motivation,the current study introduces a novel Slime Mould Optimization(SMO)model with Bidirectional Gated Recurrent Unit(BiGRU)model for Traffic Prediction(SMOBGRU-TP)in smart ***,data preprocessing is performed to normalize the input data in the range of[0,1]using minmax normalization ***,BiGRUmodel is employed for effective forecasting of traffic in smart ***,the novelty of the work lies in using SMO algorithm to effectively adjust the hyperparameters of BiGRU *** proposed SMOBGRU-TP model was experimentally validated and the simulation results established the model’s superior performance in terms of prediction compared to existing techniques.

关键词： Smart cities traffic flow prediction slime mould optimization algorithm deep learning intelligent models

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Using nanotechnology to prevent fines migration while production

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Petroleum 2021年第2期7卷 168-177页

作者： mohamed Mansour mohamed Eleraki ahmed Noah El-Abbas Moustafa Faculty of Science Zagazig UniversityEgypt Egyptian Petroleum Research Institute(EPRI) Egypt The British University Egypt

Formation damage due to fines migration is a major reason for well productivity decline for oil and gas *** fines are small enough to pass through pore throats causing pore plugging and permeability *** factors affect fines migration such as flow rate,salinity,pH value,reservoir temperature and oil polarity,as well as changes in chemical environment induced by Enhanced Oil Recovery(EOR)*** paper focuses on the effect of flow rates on fines detachment from the grain surfaces,which causing permeability *** the fluid inside the reservoir moves towards the wellbore,the fluid velocity increases,when the fluid reaches the critical flow rate these fines can be picked up into the *** fines captured by thinner pore throats causing pore plugging and permeability *** concentrations of nanoparticles were used to fix these fines on their sources and prevent their mobilization at high flow *** unique technique used in this study is changing the potential surfaces between fines and grain surfaces to prevent fines movement above the critical flow ***_(2)and MgO NPs used in this study can be adsorbed on the pore surfaces and reduce the repulsion forces between fines and pore ***_(2) and MgO nanoparticles at different concentrations(0.25,0.50 and 0.75 g/L)were used on treating the Abu-Rawash sandstone reservoir using Formation Damage System Cell *** experimental studies showed that using MgO NPs would prevent fines detachment from the pore surfaces and decrease the reduction of permeability at high flow rates more than SiO_(2) *** optimum concentration of MgO NPs was at 0.5 g/L as the permeability remediation at this concentration reaches to 64.83%.

关键词： Formation damage Fines migration Nanoparticles Zeta potential Permeability reduction Fluid flow rate

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Experimental and mathematical modeling of Cr(Ⅵ) removal using nano-magnetic Fe3O4-coated perlite from the liquid phase

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Chinese Journal of Chemical Engineering 2020年第6期28卷 1582-1590页

作者： Ismail M.ahmed Mostafa M.Hamed sayed S.Metwally Chemistry Department College of ScienceJouf UniversitySkakaSaudi Arabia Hot Laboratories and Waste Management Center Atomic Energy Authority13759 CairoEgypt

Modification of perlite using nano-magnetic iron oxide was implemented to produce nano-magneticFe3O4-coated perlite composite(Fe3O4/Perlite).The prepared composite was characterized using Scanning Electron Microscopy,Fourier-Transform Infrared spectroscopy and Powder X-ray *** potentiality of both perlite and Fe3O4/Perlite composite to eliminate Cr(VI)from the environmentally relevant water was *** influence of main factors which could affect the adsorption was studied including;pH of medium,shaking time and Cr(VI)ions *** experimental outcome demonstrated that the modification of perlite by nano-magnetic Fe3O4 showed a significantly enhanced Cr(VI)removal efficiency relative to that of unmodified *** the kinetic studies,the experimental data fitted well with the pseudo-second-order ***,it proposes that Langmuir isotherm is more adequate than the Freundlich isotherm for both perlite and modified *** results recommended that Fe3O4/Perlite composite had a great potential as an economic and efficient adsorbent of Cr(VI)from contaminated water,which has huge application potential.

关键词： Nano-magnetic Composite Kinetics Isotherm Perlite Adsorption

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