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Validation of prognostic indices in Egyptian Budd-Chiari syndrome patients: A single-center study

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World Journal of Gastroenterology 2017年第4期23卷 629-637页

作者： mohammad sakr Sara M Abdelhakam Soheir A Elsayed Enas H Allam Amir M Farid Waleed Abdelmoaty Azza M Hassan Mohamed Shaker Mohamed El-Gharib Ahmed Eldorry Department of Tropical Medicine Faculty of MedicineAin Shams University Department of Community Environmental and Occupational MedicineFaculty of MedicineAin Shams University Department of Radiodiagnosis and Interventional Radiology Faculty of MedicineAin Shams University

AIM To compare predictive ability of Budd-Chiari syndrome(BCS) prognostic indices(PIs) for one-year survival and Transjugular intrahepatic portosystemic shunt(TIPS) *** This retrospective study enrolled 194 Egyptian patients with primary BCS who presented to the BuddChiari Study Group of Ain Shams University Hospital. Calculation of the available PIs was performed using Child-Pugh and model for end-stage liver disease scores, BCS-specific PIs(Clichy, New Clichy andRotterdam) for all patients, and BCS-TIPS PI only for patients who underwent TIPS. The overall one-year survival rate and the one-year shunt patency rate for TIPS were *** The overall one-year survival rate was 69.6%, and the New Clichy PI revealed the best validity for its prediction at a cut-off value of 3.75, with sensitivity and specificity of 78% and 73.3%, respectively [area under receiver operating characteristic curve(AUC) = 0.806]. The one-year survival rate post-TIPS was 89.7%, and the BCS-TIPS score demonstrated validity for its prediction at a cut-off value of 3.92(sensitivity and specificity were 71.4% and 64.5%, respectively)(AUC = 0.715). Logistic regression analysis revealed that the New Clichy PI(P = 0.030), high serum total bilirubin(P = 0.047) and low albumin(P < 0.001) were independent factors for predicting mortality within one year. The one-year shunt patency rate in TIPS was 80.2%, and none of the PIs exhibited significant validity for its prediction. CONCLUSION The New Clichy score could independently predict the one-year survival in Egyptian BCS patients.

关键词： Budd-Chiari 症候群预示的索引新 Clichy 分数一个年幸存 Transjugular intrahepatic portosystemic 分流

Living donor liver transplantation for high model for endstage liver disease score:What have we learned?

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World Journal of Hepatology 2016年第22期8卷 942-948页

作者： Hany Dabbous mohammad sakr Sara Abdelhakam Iman Montasser Mohamed Bahaa Hany Said Mahmoud El-Meteini Department of Tropical Medicine Ain Shams Center for Organ Transplant Faculty of Medicine Ain Shams University Depart-ment of Hepatobiliary Surgery Ain Shams Center for Organ Transplant Faculty of Medicine Ain Shams University

AIM: To assess the impact of model for end-stage liver disease(MELD) score on patient survival and morbidity post living donor liver transplantation(LDLT). METHODS: A retrospective study was performed on 80 adult patients who had LDLT from 2011-2013. Nine patients were excluded and 71 patients were divided into two groups; Group 1 included 38 patients with a MELD score 20. Comparison between both groups was done regarding operative time, intra-operative blood requirement, intensive care unit(ICU) and hospital stay, infection, and patient ***: Eleven patients died(15.5%); 3/38(7.9%)patients in Group 1 and 8/33(24.2%) in Group 2 with significant difference(P = 0.02). Mean operative time, duration of hospital stay, and ICU stay were similar in both groups. Mean volume of blood transfusion and cell saver re-transfusion were 8 ± 4 units and 1668 ± 202 m L, respectively, in Group 1 in comparison to 10 ± 6 units and 1910 ± 679 m L, respectively, in Group 2 with no significant difference(P = 0.09 and 0.167, respectively). The rates of infection and systemic complications(renal, respiratory, cardiovascular and neurological complications) were similar in both groups. CONCLUSION: A MELD score > 20 may predict mortality after LDLT.

关键词： Living donor liver transplantation Model for end-stage liver disease score Morbidity Mortality Infec

Novel Framework for Generating Criminals Images Based on Textual Data Using Identity GANs

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Computers, Materials & Continua 2023年第7期76卷 383-396页

作者： Mohamed Fathallah Mohamed sakr Sherif Eletriby Department of Computer Science Faculty of Computers and InformationKafrelsheikh UniversityKafrelsheikhEgypt Department of Computer Science Faculty of Computers and InformationMenoufia UniversityMenoufiaEgypt

Text-to-image generation is a vital task in different fields,such as combating crime and terrorism and quickly arresting *** several years,due to a lack of deep learning and machine learning resources,police officials required artists to draw the face of a *** methods of identifying criminals are inefficient and *** paper presented a new proposed hybrid model for converting the text into the nearest images,then ranking the produced images according to the available *** framework contains two main steps:generation of the image using an Identity Generative Adversarial Network(IGAN)and ranking of the images according to the available data using multi-criteria decision-making based on neutrosophic *** IGAN has the same architecture as the classical Generative Adversarial Networks(GANs),but with different modifications,such as adding a non-linear identity block,smoothing the standard GAN loss function by using a modified loss function and label smoothing,and using mini-batch *** model achieves efficient results in Inception Distance(FID)and inception score(IS)when compared with other architectures of GANs for generating images from *** IGAN achieves 42.16 as FID and 14.96 as *** it comes to ranking the generated images using Neutrosophic,the framework also performs well in the case of missing information and missing data.

关键词： GAN deep learning text-to-image identity GAN

A New Hybrid Model for Segmentation of the Skin Lesion Based on Residual Attention U-Net

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Computers, Materials & Continua 2023年第6期75卷 5177-5192页

作者： Saleh Naif Almuayqil Reham Arnous Noha sakr Magdy M.Fadel Department of Information Systems College of Computer and Information SciencesJouf UniversitySakakaSaudi Arabia Department of Communications and Electronics Delta Higher Institute for Engineering and Technology(DHIET)MansouraEgypt Computers Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansouraEgypt

Skin segmentation participates significantly in various biomedical applications,such as skin cancer identification and skin lesion *** paper presents a novel framework for segmenting the *** framework contains two main stages:The first stage is for removing different types of noises from the dermoscopic images,such as hair,speckle,and impulse noise,and the second stage is for segmentation of the dermoscopic images using an attention residual U-shaped Network(U-Net).The framework uses variational Autoencoders(VAEs)for removing the hair noises,the Generative Adversarial Denoising Network(DGAN-Net),the Denoising U-shaped U-Net(D-U-NET),and Batch Renormalization U-Net(Br-U-NET)for remov-ing the speckle noise,and the Laplacian Vector Median Filter(MLVMF)for removing the impulse *** the second main stage,the residual attention u-net was used for *** framework achieves(35.11,31.26,27.01,and 26.16),(36.34,33.23,31.32,and 28.65),and(36.33,32.21,28.54,and 27.11)for removing hair,speckle,and impulse noise,respectively,based on Peak Signal Noise Ratio(PSNR)at the level of(0.1,0.25,0.5,and 0.75)of *** framework also achieves an accuracy of nearly 94.26 in the dice score in the process of segmentation before removing noise and 95.22 after removing different types of *** experiments have shown the efficiency of the used model in removing noise according to the structural similarity index measure(SSIM)and PSNR and in the segmentation process as well.

关键词： Skin tumor speckle noise impulse noise hair noise deep learning segmentation

Novel Framework of Segmentation 3D MRI of Brain Tumors

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Computers, Materials & Continua 2023年第2期74卷 3489-3502页

作者： Ibrahim Mahmoud El-Henawy Mostafa Elbaz Zainab H.Ali Noha sakr Department of Computer Science Faculty of Computers and InformaticsZagazig UniversityZagazigEgypt Department of Computer Science Faculty of Computers and InformaticsKafrelsheikh UniversityKafrelsheikhEgypt Department of Embedded Network Sys.and Tec. Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikhEgypt Computers Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansouraEgypt

Medical image segmentation is a crucial process for computer-aided diagnosis and *** image segmentation refers to portioning the images into small,disjointed parts for simplifying the processes of analysis and *** and speckle noise are different types of noise in magnetic resonance imaging(MRI)that affect the accuracy of the segmentation process ***,image enhancement has a significant role in MRI *** paper proposes a novel framework that uses 3D MRI images from Kaggle and applies different diverse models to remove Rician and speckle noise using the best possible noise-free *** proposed techniques consider the values of Peak Signal to Noise Ratio(PSNR)and the level of noise as inputs to the attention-U-Net model for segmentation of the *** framework has been divided into three stages:removing speckle and Rician noise,the segmentation stage,and the feature extraction *** framework presents solutions for each problem at a different stage of the *** the first stage,the framework uses Vibrational Mode Decomposition(VMD)along with Block-matching and 3D filtering(Bm3D)algorithms to remove the ***,the most significant Rician noise-free images are passed to the three different methods:Deep Residual Network(DeRNet),Dilated Convolution Auto-encoder Denoising Network(Di-Conv-AE-Net),andDenoising Generative Adversarial Network(DGAN-Net)for removing the speckle *** Bm3D have achieved PSNR values for levels of noise(0,0.25,0.5,0.75)for reducing the Rician noise by(35.243,32.135,28.214,24.124)and(36.11,31.212,26.215,24.123)*** framework also achieved PSNR values for removing the speckle noise process for each level as follows:(34.146,30.313,28.125,24.001),(33.112,29.103,27.110,24.194),and(32.113,28.017,26.193,23.121)forDeRNet,Di-Conv-AE-Net,and DGAN-Net,*** experiments that have been conducted have proved the efficiency of the proposed framework a

关键词： MRI Rician noise speckle noise segmentation deep learning

Amino Acid Encryption Method Using Genetic Algorithm for Key Generation

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Computers, Materials & Continua 2022年第1期70卷 123-134页

作者： Ahmed S.sakr M.Y.Shams Amena Mahmoud Mohammed Zidan Department of Information System Faculty of Computers and InformationMenofia UniversityEgypt Department of Machine learning and Information Retrieval Faculty of Artificial IntelligenceKafrelsheikh UniversityEgypt Department of Computer Science Faculty of Computers and InformationKafrelshiekh UniversityEgypt Hurghada Faculty of Computers and Artificial Intelligence South Valley UniversityEgypt

In this new information era,the transfer of data and information has become a very important *** data must be kept secured from unauthorized persons using *** science of cryptography depends not only on complex mathematical models but also on encryption *** acid encryption is a promising model for data *** this paper,we propose an amino acid encryption model with two encryption *** first key is generated randomly using the genetic *** second key is called the protein key which is generated from converting DNA to a protein ***,the protein message and the first key are used in the modified Playfair matrix to generate the cypher *** experimental results show that the proposed model survives against known attacks such as the Brute-force attack and the Ciphertext-only *** addition,the proposed model has been tested over different types of characters including white spaces and special characters,as all the data is encoded to 8-bit *** performance of the proposed model is compared with other models using encryption time and decryption *** model also balances all three principles in the CIA triad.

关键词： Cryptography amino acid genetic algorithm playfair deep learning DNA computing

Resveratrol Modulates Bone Mineral Density and Bone Mineral Content in A Rat Model of Male Hypogonadism

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Chinese Journal of Integrative Medicine 2023年第2期29卷 146-154页

作者： Hussein F.sakr Boudaka Ammar Amira AlKharusi I Al-Lawati Mahmoud AlKhateeb Basim H Elesawy Department of Physiology College of Medicine and Health SciencesSultan Qaboos UniversityMuscat 123Oman Medical Physiology Department Faculty of MedicineMansouraUniversityMansoura 35516Egypt Basic Medical Sciences Department College of Medicine at King Saud bin Abdulaziz University for Health Sciences(KSAU-HS)Riyadh 11481Saudi Arabia Department of Clinical Laboratory Sciences College of Applied Medical SciencesTaif UniversityTaif 21944Saudi Arabia

Objective: To determine whether resveratrol(Res) can correct osteoporosis induced in a rat model of male hypogonadism. Methods: Thirty-two rats were randomly divided into 4 groups, 8 in each group;1) a control sham group: underwent a similar surgical procedure for induction of orchiectomy(ORCD) without ligation of any arteries or veins or removal of the testis and epididymis;2) a control + Res-treated group(Con+Res):underwent sham surgery similar to the control, but was then treated with Res, as described below;3) an ORCDinduced group: bilateral ORCD surgery as described above, and 4) a ORCD+Res-treated group: bilateral ORCD surgery followed by Res treatment. Res treatment began 4 weeks after ORCD and continued for 12 weeks. After 12 weeks, bone mineral density(BMD) and bone mineral content(BMC) were measured in the tibia and femur of each rat’s right hind leg. Blood levels of bone turnover indicators such as deoxypyridinoline(Dpd), N-telopeptide of type Ⅰ collagen(NTXⅠ), alkaline phosphatase(ALP), and osteocalcin(OC), as well as receptor activator of nuclear factor kappa B(RANK) and osteoprotegerin(OPG) were assessed. Results: ORCD significantly decreased BMD(P<0.01) and significantly increased bone resorption, manifested by increased RANK. In addition, it inhibited serum levels of OPG and OC. Res treatment after ORCD effectively increased serum levels of bone formation markers such as OPG and OC, compared with testisectomized rats(P<0.05). Conclusion:Res could ameliorate bone loss induced by male hypogonadism, possible via restoration of the normal balance between RANK and OPG.

关键词： osteoporosis male hypogonadism resveratrol receptor activator of nuclear factor-kappa

Optimal performance of water-oil axial jet pump in an egyptian offshore oil field

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Petroleum Research 2023年第4期8卷 561-571页

作者： A.A.A.Sheha K.A.Ibrahim H.A.Abdalla I.M.sakr Samy M.El-Behery Offshore Operations Department Section Head PetroGulf Misr Petroleum Company10St.250 Sarayat El-MaadiCairoEgypt Mechanical Power Engineering Department Faculty of EngineeringMenoufia UniversityShebin El-KomEgypt

The jet pump is an artificial lift employed when the reservoir pressure declines and the well deviation *** use of computer well models for optimizing the oil well output has proven to be a suc-cessful strategy,and has helped increasing the efficiency and production of numerous *** objective of this study was to use a production optimization technique that achieves some improve-ments,and recommend approaches toward increasing the oil well *** effects of the motive fluid flow rate and pressure on the oil production rate were investigated to determine the optimal in-jection rate and pressure on the performance of the deep well water-oil axial ***,the effects of the well-head pressure,water cut,and roughness of tubing on oil production of this jet pump type were *** results revealed that the impact on the oil lift performance is *** oil production increased by 19.43%,and the optimal economic value for the injection rate and pressure for the GA-1A well are 744.44 BFPD and 2722.22 psig,*** summary,increasing the tubing roughness decreased the well's total liquid ***,maintaining the well integrity is a very important factor because not doing so can lower the productivity by up to 20%-25%.

关键词： Water-oil jet pump PROSPER Performance Roughness Oil production

Efficient Relational Techniques for Processing Graph Queries

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Journal of Computer Science & Technology 2010年第6期25卷 1237-1255页

作者： Sherif sakr Ghazi Al-Naymat School of Computer Science and Engineering University of New South Wales Managing Complexity Group National ICT Australia (NICTA)

Graphs are widely used for modeling complicated data such as social networks,chemical compounds,protein interactions and semantic *** effiectively understand and utilize any collection of graphs,a graph database that efficiently supports elementary querying mechanisms is crucially *** example,Subgraph and Supergraph queries are important types of graph queries which have many applications in practice.A primary challenge in computing the answers of graph queries is that pair-wise comparisons of graphs are usually hard *** database management systems（RDBMSs） have repeatedly been shown to be able to efficiently host different types of data such as complex objects and XML *** derive much of their performance from sophisticated optimizer components which make use of physical properties that are specific to the relational model such as sortedness,proper join ordering and powerful indexing *** this article,we study the problem of indexing and querying graph databases using the relational *** present a purely relational framework for processing graph *** framework relies on building a layer of graph features knowledge which capture metadata and summary features of the underlying graph *** describe different querying mechanisms which make use of the layer of graph features knowledge to achieve scalable performance for processing graph ***,we conduct an extensive set of experiments on real and synthetic datasets to demonstrate the efficiency and the scalability of our techniques.

关键词： graph database graph query subgraph query supergraph query