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Clinical efficacy of direct-acting antiviral therapy for recurrent hepatitis C virus infection after liver transplantation in patients with hepatocellular carcinoma

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World Journal of Hepatology 2020年第9期12卷 628-640页

作者： Mohamed Saleh Ismail Manal Hassan Saira Aijaz Khaderi Wael Ahmed Yousry Maha Mohsen Kamal el-Din Mohamed Mohamed Bahaa el-Din osama aboelfotoh el sayed Ahmed Omar Kaseb John Alan Goss FasihaKanwal Prasun Kumar Jalal Division of Gastroenterology Baylor College of MedicineHoustonTX 77030United States Department of Internal medicine Gastroenterology and HepatologyAin Shams UniversityCairo 11566Egypt Department of Surgery Division of Abdominal TransplantationBaylor College of MedicineHoustonTX 77030United States Department of Epidemiology the University of Texas MD Anderson Cancer CenterHoustonTX 77030United States Department of Surgery Ain Shams UniversityCairo 11566Egypt Department of Gastrointestinal Medical Oncology the University of Texas MD Anderson Cancer CenterHoustonTX 77030United States

BACKGROUND Recurrent hepatitis C virus(HCV)infection of transplanted liver allografts is universal in patients with detectable HCV viremia at the time of ***-acting antiviral(DAA)therapy has been adopted as the standard of care for recurrent HCV infection in the post-transplant ***,there are insufficient data regarding its efficacy in liver transplant(LT)recipients with a history of hepatocellular carcinoma(HCC),and the risk of HCC recurrence after DAA therapy is *** of DAA treatment failure and HCC recurrence in LT *** A total of 106 LT recipients given DAAs for recurrent HCV infection from 2015 to 2019 were identified(68 with and 38 without HCC).Descriptive statistics and logistic regression models were used to estimate the multivariate odds ratios and respective 95%confidence intervals for predictors of treatment failure and HCC *** Six patients(6%)experienced DAA therapy failure post-LT and 100(94%)had a sustained virologic response at follow-up week 12.A high alanine transaminase level>35 U/L at treatment week 4 was a significant predictor of treatment *** to pre-LT DAA therapy is a predictor of post-LT HCC recurrence,P=*** relapse post-LT was also associated with post-transplantation HCC recurrence,P=*** DAAs are effective and safe in the treatment of recurrent HCV infection in LT recipients with history of *** to pre-and post-LT DAA therapy is associated with post-transplantation HCC recurrence.

关键词： Direct-acting antiviral Liver transplant Hepatocellular carcinoma Recurrence

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Secret Key Optimization for Secure Speech Communications

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Computers, Materials & Continua 2022年第8期72卷 3025-3037页

作者： osama S.Faragallah Mahmoud Farouk Hala S.el-sayed Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Computer Science and Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf 32952Egypt Department of electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom 32511Egypt

This paper answers three essential questions for audio speech cryptosystems in time and discrete transform *** first question is,what are the best values of sub-keys that must be used to get the best quality and security for the audio cryptosystem in time and discrete transform *** second question is the relation between the number of sub-keys,the number of secret keys used,and the audio speech signal block’s ***,how many possible secret keys can be used to get the best quality and security results for the audio speech cryptosystem in time and discrete transform *** audio cryptosystem discussed before in recent research is applied to answer the three previous *** simulation results and analysis answer all three questions;first,there is no specific,well-defined format or rule for sub-key values that must be used to get a better *** the second question,yes,there is a direct relationship between the number of applicable keys,number of available sub-keys,and block size of speech audio signal and formulated into a first-order *** the third question,each discrete transform domain has a specific acceptable range of sub-keys that imply a particular number of keys that can be used to get a better cryptosystem.

关键词： Audio cryptosystem chaotic baker map secret key size

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Utilization of HEVC ChaCha20-Based Selective Encryption for Secure Telehealth Video Conferencing

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Computers, Materials & Continua 2022年第1期70卷 831-845页

作者： osama S.Faragallah Ahmed I.Sallam Hala S.el-sayed Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Computer Science and Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom32511Egypt

Coronavirus(COVID-19)is a contagious disease that causes exceptional effect on healthcare organizationsworldwide with dangerous impact on medical services within the *** of the fast spread of COVID-19,the healthcare facilities could be a big source of disease ***,healthcare video consultations should be used to decrease face-to-face communication between clinician and *** video consultations may be beneficial for some COVID-19 conditions and reduce the need for faceto-face contact with a potentially positive patient without *** conditions are like top clinicians who provide remote consultations to develop treatment methodology and follow-up remotely,patients who consult about COVID-19,and those who have mild symptoms suggestive of the COVID-19 *** consultations are a supplement to,and not a substitute for,telephone *** may also form part of a broader COVID-19 distance care strategy that contains computerized screening,separation of possibly infectious patients within medical services,and computerized video-intensive observing of their intensive care that helps reduce ***,the spread of the COVID-19 virus helps to expand the use of video healthcare consultations because it helps to exchange experiences and remote medical consultations,save costs and health procedures used to cope with the pandemic of the COVID-19 virus,and monitor the progress of treatment plans,moment by moment from a distance with precision,clarity and *** this perspective,this paper introduces a high-efficiency video coding(HEVC)ChaCha20-based selective encryption(SE)scheme for secure healthcare video *** proposed HEVC ChaCha20-based SE scheme uses the ChaCha20 for encrypting the sign bits of the Discrete Cosine Transform(DCT)and Motion Vector Difference(MVD)in the HEVC entropy *** main achievement of HEVC ChaCha20-based SE scheme is encrypting the most sensitive video bits with keeping low

关键词： Telehealth HEVC cahcha20 video conferencing

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Secure Audio Transmission Over Wireless Uncorrelated Rayleigh Fading Channel

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Computers, Materials & Continua 2022年第1期70卷 1603-1615页

作者： osama S.Faragallah M.Farouk Hala S.el-sayed Mohsen A.M.el-bendary Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Computer Science and Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom32511Egypt Department of electronics Technology Faculty of Technology and EducationHelwan UniversityCairoEgypt

Audio communications and computer networking play essential roles in our daily lives,including many domains with different *** in these technologies are *** consequence,there is a dire need to secure these technologies up to *** paper presents an efficient model for secure audio signal transmission over the wireless noisy uncorrelated Rayleigh fading ***,the performance of the utilized multiple secret keys-based audio cryptosystem is analyzed in different transformation *** discrete cosine transform(DCT),the discrete sine transform(DST),and the discrete wavelet transform(DWT)are investigated in the utilizedmultiple secret key-based audio *** results show consistent results with the wireless noisy *** performance of the proposed multiple secret keys-based audio cryptosystem can be ranked concerning the employed domain as DWT,DCT,and DST transform *** simulation experiments proved that the presented multiple secret keysbased audio cryptosystemfor audio signals transmitted over the wireless noisy uncorrelatedRayleigh fading channel achieves reliable and secure wireless link utilizing combined multi security layers.

关键词： Audio communications encryption uncorrelated Rayleigh fading channel

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Improved RC6 Block Cipher Based on Data Dependent Rotations

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Computers, Materials & Continua 2022年第1期70卷 1921-1934页

作者： osama S.Faragallah Ibrahim F.elashry Ahmed AlGhamdi Walid el-Shafai S.el-Rabaie Fathi E.Abd el-Samie Hala S.el-sayed Mohamed A.elaskily Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of electrical Communications Faculty of EngineeringKafrelsheikh UniversityKafrelsheikhEgypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom32511Egypt Department of Informatics Electronic Research Institute(ERI)CairoEgypt

This paper introduces an Improved RC6(IRC6)cipher for data encryption based on data-dependent *** proposed scheme is designed with the potential of meeting the needs of the Advanced Encryption Standard(AES).Four parameters are used to characterize the proposed *** parameters are the size of the word(w)in bits,the number of rounds(r),the length of the secret key(b)in bytes,and the size of the block(L)in *** main feature of IRC6 is the variable number of working registers instead of just four registers as in RC6,resulting in a variable block size for plaintext and *** IRC6 cipher is designed to improve the robustness against attacks by increasing the diffusion for each round and providing greater security with fewer *** effectiveness of the proposed IRC6 scheme is verified against theoretical *** proposed IRC6 scheme depends on full diffusion and confusion mechanisms regardless of the utilized block *** proposed IRC6 scheme saves 70%of the encryption time and 64%of the decryption time of *** simulation results prove that the IRC6 achieves a better encryption/decryption time compared to the ***,the proposed IRC6 is anticipated to fulfill the market needs and system security requirements.

关键词： Cryptography block cipher RC6,IRC6,AES

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Analytic Beta-Wavelet Transform-Based Digital Image Watermarking for Secure Transmission

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Computers, Materials & Continua 2022年第3期70卷 4657-4673页

作者： Hesham Alhumyani Ibrahim Alrube Sameer Alsharif Ashraf Afifi Chokri Ben Amar Hala S.el-sayed osama S.Faragallah Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityP.O.11099Taif21944Saudi Arabia Department of electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom32511Egypt Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.11099Taif21944Saudi Arabia

The rapid development in the information technology field has introduced digital watermark technologies as a solution to prevent unauthorized copying and redistribution of *** article introduces a self-embedded image verification and integrity *** images are firstly split into dedicated segments of the same block ***,different Analytic Beta-Wavelet(ABW)orthogonal filters are utilized for embedding a self-segment watermark for image segment using a predefined *** orthogonal filter coefficients are estimated to improve image reconstruction under different block *** conduct a comparative study comparing the watermarked images using three kinds of ABW filters for block sizes 64×64,128×128,and 256×*** embed the watermark using the ABW-based image watermarking method in the 2-level middle frequency sub-bands of the ABW digital image *** imperceptibility and robustness of the ABW-based image watermarking method image is evaluated based on the Peak Signal to Noise Ratio(PSNR)and Correlation coefficient *** the implementation results,we came to know that this ABW-based image watermarking method can withstand many image manipulations compared to other existing methods.

关键词： Watermarking ABW median filtering JPEG compression PSNR

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Efficient Classification of Remote Sensing Images Using Two Convolution Channels and SVM

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Computers, Materials & Continua 2022年第7期72卷 739-753页

作者： Khalid A.AlAfandy Hicham Omara Hala S.el-sayed Mohammed Baz Mohamed Lazaar osama S.Faragallah Mohammed Al Achhab ENSA Abdelmalek Essaadi UniversityTetouan 93002Morocco FS Abdelmalek Essaadi UniversityTetouan 93002Morocco Department of electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom 32511Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia ENSIAS Mohammed V University in Rabat 10000Morocco Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia

Remote sensing image processing engaged researchers’attentiveness in recent years,especially *** main problem in classification is the ratio of the correct predictions after *** extraction is the foremost important step to build high-performance image *** convolution neural networks can extract images’features that significantly improve the image classifiers’*** paper proposes two efficient approaches for remote sensing images classification that utilizes the concatenation of two convolution channels’outputs as a features extraction using two classic convolution models;these convolution models are the ResNet 50 and the DenseNet *** elicited features have been used by the fully connected neural network classifier and support vector machine classifier as input *** results of the proposed methods are compared with other antecedent approaches in the same experimental *** is based on learning curves plotted during the training of the proposed classifier that is based on a fully connected neural network and measuring the overall accuracy for the both proposed *** proposed classifiers are used with their trained weights to predict a big remote sensing scene’s classes for a developed *** results ensure that,compared with the other traditional classifiers,the proposed classifiers are further accurate.

关键词： Remote sensing images deep learning ResNet DenseNet SVM

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Efficient Deep CNN Model for COVID-19 Classification

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Computers, Materials & Continua 2022年第3期70卷 4373-4391页

作者： Walid el-Shafai Amira A.Mahmoud el-sayed M.el-Rabaie Taha E.Taha osama F.Zahran Adel S.el-Fishawy Mohammed Abd-elnaby Fathi E.Abd el-Samie Department electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Coronavirus(COVID-19)infection was initially acknowledged as a global pandemic in Wuhan in *** Health Organization(WHO)stated that the COVID-19 is an epidemic that causes a 3.4%death *** X-Ray(CXR)and Computerized Tomography(CT)screening of infected persons are essential in diagnosis *** are numerous ways to identify positive COVID-19 *** of the fundamental ways is radiology imaging through CXR,or CT *** comparison of CT and CXR scans revealed that CT scans are more effective in the diagnosis process due to their high ***,automated classification techniques are required to facilitate the diagnosis *** Learning(DL)is an effective tool that can be utilized for detection and classification this type of medical *** deep Convolutional Neural Networks(CNNs)can learn and extract essential features from different medical image *** this paper,a CNN architecture for automated COVID-19 detection from CXR and CT images is *** activation functions as well as three optimizers are tested and compared for this *** proposed architecture is built from scratch and the COVID-19 image datasets are directly fed to train *** performance is tested and investigated on the CT and CXR *** activation functions:Tanh,Sigmoid,and RelU are compared using a constant learning rate and different batch *** optimizers are studied with different batch sizes and a constant learning ***,a comparison between different combinations of activation functions and optimizers is presented,and the optimal configuration is ***,the main objective is to improve the detection accuracy of COVID-19 from CXR and CT images using DL by employing CNNs to classify medical COVID-19 images in an early *** proposed model achieves a classification accuracy of 91.67%on CXR image dataset,and a classification accuracy of 100%on CT dataset with training times of 58 min and 46 min on CXR an

关键词： COVID-19 image classification CNN DL activation functions optimizers

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Opto-Video Encryption Based on Logistic Adjusted Sine map in FrFT

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Computers, Materials & Continua 2022年第8期72卷 3651-3663页

作者： osama S.Faragallah Ashraf Afifi Ibrahim F.elashry Ensherah A.Naeem Heba M.el-Hoseny Ahmed I.Sallam Hala S.el-sayed Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of electrical Engineering Kafrelsheikh UniversityKafrelsheikh 61519Egypt electrical Department Faculty of Industrial EducationSuez UniversitySuez 43527Egypt Department of electronics and electrical Communication Engineering Al-Obour High Institute for Engineering and Technology 3036Egypt Department of Computer Science and Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf 32952Egypt Department of electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom 32511Egypt

In the last few years,videos became the most common form of information transmitted over the internet,and a lot of the traffic is confidential and must be protected and delivered safely to its intended *** introduces the challenges of presenting encryption systems that can encode videos securely and efficiently at the same *** paper presents an efficient opto-video encryption system using Logistic Adjusted Sine map(LASM)in the Fractional Fourier Transform(FrFT).In the presented opto-video LASM-based FrFT scheme,the encoded video is split into distinct frames and transformed into optical signals utilizing an optical *** of the developed optical video frames is ciphered by utilizing the LASM in optical FrFT system using two-phase modulation forms on the video frame,the first in the time-domain and the second in the FrFT *** the end,the ciphervideo frame is spotted utilizing a CCD digital camera and transformed into a digital structure that can be managed using a *** test the proposed opto-video LASM-based FrFT scheme using various security *** outcomes demonstrate that the presented scheme can effectively encrypt and decrypt video *** addition,it encrypts videos with a high level of encryption qualitywithout sacrificing its resistance to noise ***,the test outcomes demonstrate that the presented scheme is immune to known attacks.

关键词： Optical encryption FrFT logistic-adjusted sine map

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Efficient Segmentation Approach for Different Medical Image Modalities

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Computers, Materials & Continua 2022年第11期73卷 3119-3135页

作者： Walid el-Shafai Amira A.Mahmoud el-sayed M.el-Rabaie Taha E.Taha osama F.Zahran Adel S.el-Fishawy Naglaa F.Soliman Amel A.Alhussan Fathi E.Abd el-Samie Department electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh11586Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia

This paper presents a study of the segmentation of medical *** paper provides a solid introduction to image enhancement along with image segmentation *** the first step,the morphological operations are employed to ensure image detail protection and *** objective of using morphological operations is to remove the defects in the texture of the ***,the Fuzzy C-Means(FCM)clustering algorithm is used to modify membership function based only on the spatial neighbors instead of the distance between pixels within local spatial neighbors and cluster *** proposed technique is very simple to implement and significantly fast since it is not necessary to compute the distance between the neighboring pixels and the cluster *** is also efficient when dealing with noisy images because of its ability to efficiently improve the membership partition *** results are performed on different medical image ***(Us),X-ray(Mammogram),Computed Tomography(CT),Positron Emission Tomography(PET),and Magnetic Resonance(MR)images are the main medical image modalities used in this *** obtained results illustrate that the proposed technique can achieve good results with a short time and efficient image *** results on different image modalities show that the proposed technique can achieve segmentation accuracies of 98.83%,99.71%,99.83%,99.85%,and 99.74%for Us,Mammogram,CT,PET,and MRI images,respectively.

关键词： Image segmentation ultrasonic mammogram CT PET MRI morphological operations FCM active contours

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