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Towards hepatitis C virus elimination:Egyptian experience,achievements and limitations

World Journal of Gastroenterology 2018年第38期24卷 4330-4340页

作者： Dalia Omran mohamed Alboraie Rania A Zayed mohamed-Naguib Wifi Mervat Naguib mohamed Eltabbakh mohamed Abdellah Ahmed Fouad Sherief Sahar Maklad Heba Hamdy Eldemellawy Omar Khalid Saad doaa mohamed khamiss mohamed El Kassas Department of Endemic Medicine and Hepatology Faculty of MedicineCairo UniversityCairo 11651Egypt Department of Endemic Medicine Faculty of MedicineHelwan UniversityCairo 11599Egypt Department of Internal Medicine Al-Azhar UniversityCairo 11651Egypt Department of Clinical and Chemical Pathology Faculty of MedicineCairo UniversityCairo 11651Egypt Department of Internal Medicine Faculty of MedicineCairo UniversityCairo 11599Egypt Department of Tropical Medicine Faculty of MedicineAin Shams UniversityCairo 11566Egypt National Hepatology and Tropical Medicine Research Institute Cairo 11599Egypt Department of Internal Medicine Faculty of MedicineBeni-Suef UniversityBeni-Suef 62511Egypt Faculty of Medicine Ain Shams UniversityCairo 11566Egypt Department of Clinical and Chemical Pathology El-monera hospitalMinistry of HealthCairo 11562Egypt

Worldwide, more than one million people die each year from hepatitis C virus(HCV) related diseases, and over 300 million people are chronically infected with hepatitis B or C. Egypt used to be on the top of the countries with heavy HCV burden. Some countries are making advances in elimination of HCV, yet multiple factors preventing progress; remain for the majority. These factors include lack of global funding sources for treatment, late diagnosis, poor data, and inadequate screening. Treatment of HCV in Egypt has become one of the top national priorities since 2007. Egypt started a national treatment program intending to provide cure for Egyptian HCV-infected patients. Mass HCV treatment program had started using Pegylated interferon and ribavirin between 2007 and 2014. Yet, with the development of highly-effective direct acting antivirals(DAAs) for HCV, elimination of viral hepatitis has become a real possibility. The Egyptian National Committee for the Control of Viral Hepatitis did its best to provide Egyptian HCV patients with DAAs. Egypt adopted a strategy that represents a model of care that could help other countries with high HCV prevalence rate in their battle against HCV. This review covers the effects of HCV management in Egyptian real life settings and the outcome of different treatment protocols. Also, it deals with the current and future strategies for HCV prevention and screening as well as the challenges facing HCV elimination and the prospect of future eradication of HCV.

关键词： Hepatitis C virus Egypt Direct acting antivirals screening elimination Limitations

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Validation of a serum microRNA panel as biomarkers for early diagnosis of hepatocellular carcinoma post-hepatitis C infection in Egyptian patients

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World Journal of Gastroenterology 2017年第21期23卷 3864-3875页

作者： Moustafa Nouh Elemeery Ahmed Noah Badr Marwa Anwar mohamed doaa Ahmed Ghareeb Medical Biotechnology Laboratory Genetic Engineering and Biotechnology Research DivisionNational Research Centre Toxicology and Food Contaminant Laboratory Food Science and Nutrition Research DivisionNational Research Centre Department of Chemical Pathology Medical Research InstituteAlexandria University Molecular Biology Laboratory Faculty of ScienceAlexandria University

AIM To investigate the prospective importance of serum micro(mi)RNAs(mi R-125 b, mi R-138 b, mi R-1269, mi R-214-5p, mi R-494, mi R375 and mi R-145) as early biomarkers for the diagnosis of hepatitis C virus(HCV)-related hepatocellular carcinoma(HCC).METHODS Two-hundred and fifty HCV4 a patients, 224 HCV4 aHCC patients, and 84 healthy controls were enrolled in the study. Expression levels of mi R214-5p, mi R-125 b, mi R-1269 and mi R-375 were quantified using quantitative real-time *** Expression of the selected mi RNAs in serum wassignificantly lower in HCC patients than in the healthy controls, except for mi R-1269 and mi R-494. There was a significant difference between HCC and HCV patients, in particular for HCC and late stage fibrosis, rather than HCV patients and early fibrosis. It is obvious that mi R-1269 was significantly upregulated in HCC cases compared to hepatic fibrosis cases. Each mi RNA can show HCC progression. Multivariate logistic regression analysis indicated that the tested panel of mi RNAs(mi R214-5p, mi R-125 b, mi R-1269 and mi R-375) represent accurate and specific indictors of HCC *** This study presents a panel of mi RNAs with strong power as putative diagnostic and prognostic biomarkers for HCV-induced HCC. Moreover, mi R-214-5p and mi R-1269 could be considered as early biomarkers for tracking the progress of liver fibrosis to HCC.

关键词： Micro RNA Hepatocellular carcinoma Fibrosis progression

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Deep Learning for Depression Detection Using Twitter Data

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Intelligent Automation & Soft Computing 2023年第5期36卷 1301-1313页

作者： doaa Sami Khafaga Maheshwari Auvdaiappan KDeepa mohamed Abouhawwash Faten Khalid Karim Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computational Intelligence SRM Institute of Science and TechnologyKattankulathurChennai603203India Department of Computer Science and Engineering M.Kumarasamy College of EngineeringKarur639113India Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)College of EngineeringMichigan State UniversityEast LansingMI48824USA

Today social media became a communication line among people to share their happiness,sadness,and anger with their *** is necessary to know people’s emotions are very important to identify depressed people from their *** depression detection helps to save people’s lives and other dangerous mental *** are many intelligent algorithms for predicting depression with high accuracy,but they lack the deﬁnition of such *** machine learning methods help to identify depressed *** the accuracy of existing methods was not *** overcome this issue,the deep learning method is used in the proposed method for depression *** this paper,a novel Deep Learning Multi-Aspect Depression Detection with Hierarchical Atten-tion Network(MDHAN)is used for classifying the depression ***,the Twitter data was preprocessed by tokenization,punctuation mark removal,stop word removal,stemming,and *** Adaptive Particle and grey Wolf optimization methods are used for feature *** MDHAN classiﬁes the Twitter data and predicts the depressed and non-depressed ***,the proposed method is compared with existing methods such as Convolutional Neur-al Network(CNN),Support Vector Machine(SVM),Minimum Description Length(MDL),and *** suggested MDH-PWO architecture gains 99.86%accuracy,more signiﬁcant than frequency-based deep learning models,with a lower false-positive *** experimental result shows that the proposed method achieves better accuracy,precision,recall,and *** also mini-mizes the execution time.

关键词： Depression detection twitter data tweets deep learning swarm intelligence multi-aspect depression detection prediction

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An Improved Deep Structure for Accurately Brain Tumor Recognition

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Computer Systems Science & Engineering 2023年第8期46卷 1597-1616页

作者： mohamed Maher Ata Reem N.Yousef Faten Khalid Karim doaa Sami Khafaga Department of Communications and Electronics Engineering MISR Higher Institute for Engineering and TechnologyMansoura35516Egypt Department of Electronics and Communications Delta Higher Institute for Engineering and TechnologyMansoura35516Egypt Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Brain neoplasms are recognized with a biopsy,which is not commonly done before decisive brain *** using Convolutional Neural Networks(CNNs)and textural features,the process of diagnosing brain tumors by radiologists would be a noninvasive *** paper proposes a features fusion model that can distinguish between no tumor and brain tumor types via a novel deep learning *** proposed model extracts Gray Level Co-occurrence Matrix(GLCM)textural features from MRI brain tumor ***,a deep neural network(DNN)model has been proposed to select the most salient features from the ***,it manipulates the extraction of the additional high levels of salient features from a proposed CNN ***,a fusion process has been utilized between these two types of features to form the input layer of additional proposed DNN model which is responsible for the recognition *** common datasets have been applied and tested,Br35H and FigShare *** first dataset contains binary labels,while the second one splits the brain tumor into four classes;glioma,meningioma,pituitary,and no ***,several performance metrics have been evaluated from both datasets,including,accuracy,sensitivity,specificity,F-score,and training *** results show that the proposed methodology has achieved superior performance compared with the current state of art *** proposed system has achieved about 98.22%accuracy value in the case of the Br35H dataset however,an accuracy of 98.01%has been achieved in the case of the FigShare dataset.

关键词： Brain tumor convolutional neural network gray level co-occurrence matrix noninvasive FigShare dataset Br35H dataset

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Wireless Network Security Using Load Balanced Mobile Sink Technique

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Intelligent Automation & Soft Computing 2023年第2期35卷 2135-2149页

作者： Reem Alkanhel mohamed Abouhawwash S.N.Sangeethaa K.Venkatachalam doaa Sami Khafaga Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast Lansing48824MIUSA Department of Computer Science and Engineering Bannari Amman Institute of TechnologySathyamangalam638401India Department of Computer Science and Engineering CHRIST(Deemed to be University)Bengaluru560074India Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia

Real-time applications based on Wireless Sensor Network(WSN)tech-nologies are quickly increasing due to intelligent *** the most signiﬁcant resources in the WSN are battery power and *** stra-tegies improve the power factor and secure the WSN *** takes more electricity to forward data in a *** numerous clustering methods have been developed to provide energy consumption,there is indeed a risk of unequal load balancing,resulting in a decrease in the network’s lifetime due to network inequalities and less *** possibilities arise due to the cluster head’s limited life *** cluster heads(CH)are in charge of all activities and con-trol intra-cluster and inter-cluster *** proposed method uses Lifetime centric load balancing mechanisms(LCLBM)and Cluster-based energy optimiza-tion using a mobile sink algorithm(CEOMS).LCLBM emphasizes the selection of CH,system architectures,and optimal distribution of *** addition,the LCLBM was added with an assistant cluster head(ACH)for load *** consumption,communications latency,the frequency of failing nodes,high security,and one-way delay are essential variables to consider while evaluating *** will choose a cluster leader based on the inﬂuence of the fol-lowing parameters on the energy balance of *** to simulatedﬁnd-ings,the suggested LCLBM-CEOMS method increases cluster head selection self-adaptability,improves the network’s lifetime,decreases data latency,and bal-ances network capacity.

关键词： Wireless sensor network load balancing mechanism optimization power consumption network’s lifetime

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Spoofing Face Detection Using Novel Edge-Net Autoencoder for Security

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Intelligent Automation & Soft Computing 2023年第3期35卷 2773-2787页

作者： Amal H.Alharbi S.Karthick K.Venkatachalam mohamed Abouhawwash doaa Sami Khafaga Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh 11671Saudi Arabia Department of Electrical Electronics and Communication Engineering GITAM School of TechnologyGITAM Deemed to be UniversityBengaluru CampusKarnataka560065India Department of Computer Science and Engineering CHRIST(Deemed to be University)Bangalore560074India Department of Mathematics Faculty of ScienceMansoura UniversityMansoura 35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

Recent security applications in mobile technologies and computer sys-tems use face recognition for high-end *** numerous security tech-niques,face recognition is considered a high-security *** fuse and carry out face identiﬁcation as an access authority into these ***,face identiﬁcation authentication is sensitive to attacks with a 2-D photo image or captured video to access the system as an authorized *** the existing spooﬁng detection algorithm,there was some loss in the recreation of *** research proposes an unobtrusive technique to detect face spooﬁng attacks that apply a single frame of the sequenced set of frames to overcome the above-said *** research offers a novel Edge-Net autoencoder to select convoluted and dominant features of the input diffused ***,this pro-posed method is tested with the Cross-ethnicity Face Anti-spooﬁng(CASIA),Fetal alcohol spectrum disorders(FASD)*** database has three models of attacks:distorted photographs in printed form,photographs with removed eyes portion,and video *** images are taken with three different quality cameras:low,average,and high-quality real and spoofed *** extensive experimental study was performed with CASIA-FASD,3 Diagnostic Machine Aid-Digital(DMAD)dataset that proved higher results when compared to existing algorithms.

关键词： Image processing edge detection edge net auto-encoder face authentication digital security

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Women and Myths of Today: An Investigation for the Reasons of Gender Inequalities

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Proceedings of Business and Economic Studies 2018年第2期1卷 37-44页

作者： doaa mohamed Salman Abdou Department of Economics October University for Modern Sciences and Arts(MSA)GizaEgypt

The relationship between participation and gender is rather more fraught with tensions and *** points of tension between participatory and“gender aware”approaches to development arise from-and produce rather different ways of engaging with issues of gendered *** paper aims to list the dimensions of“participation”and“gender”in development,highlighting paradoxes of“gender-aware”and participatory development *** that part it raises a question,despite the continuous efforts that have been exerted in the past and up to present to minimize the gap of gender inequality,coupled with the fact that the percentage of females to males in the workplace is increasing rapidly;yet the sam problems exist,in particular,the lack of employment opportunities and ***,raising issues such as is gender awareness necessary and sufficient for effective participation of women in gender and development practices?And what are the requirements for this effective participation?Does the effective participation of women overcome gender differences?

关键词： gender inequality wage gap labor force participation rate unemployment rate

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Transfer Learning for Chest X-rays Diagnosis Using Dipper Throated Algorithm

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Computers, Materials & Continua 2022年第11期73卷 2371-2387页

作者： Hussah Nasser AlEisa El-Sayed M.El-kenawy Amel Ali Alhussan mohamed Saber Abdelaziz A.Abdelhamid doaa Sami Khafaga Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Electronics and Communications Engineering Department Faculty of EngineeringDelta University for Science and TechnologyMansoura35712Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia

Most children and elderly people worldwide die from pneumonia,which is a contagious illness that causes lung *** diagnosing pneumonia from chest X-ray images,many deep learning models have been put *** goal of this research is to develop an effective and strong approach for detecting and categorizing pneumonia *** varying the deep learning approach,three pre-trained models,GoogLeNet,ResNet18,and DenseNet121,are employed in this research to extract the main features of pneumonia and normal *** addition,the binary dipper throated optimization(DTO)algorithm is utilized to select the most significant features,which are then fed to the K-nearest neighbor(KNN)classifier for getting the final classification *** guarantee the best performance of KNN,its main parameter(K)is optimized using the continuous DTO *** test the proposed approach,six evaluation metrics were employed namely,positive and negative predictive values,accuracy,specificity,sensitivity,and ***,the proposed approach is compared with other traditional approaches,and the findings confirmed the superiority of the proposed approach in terms of all the evaluation *** minimum accuracy achieved by the proposed approach is(98.5%),and the maximum accuracy is(99.8%)when different test cases are included in the evaluation experiments.

关键词： Metaheuristic pneumonia dipper throated optimization KNN

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Phytochemical studies and anti-ulcerative colitis effect of Moringa oleifera seeds and Egyptian propolis methanol extracts in a rat model

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Asian Pacific Journal of Tropical Biomedicine 2019年第3期9卷 98-108页

作者： Attia H.Atta Samar M.Mouneir Soad M.Nasr doaa Sedky Amany M.mohamed Shimaa A.Atta Hassan mohamed Desouky Department of Pharmacology Faculty of Veterinary Medicine Cairo University Department of Parasitology & Animal Diseases National Research Centre Immunology Department Theodor Bilharz Research Institute Department of Animal Reproduction and Artificial Insemination National Research Centre

Objective: To analyze the phytochemical constituents, and to explore potential protective effect of the methanol extract of Moringa oleifera(M. oleifera) seeds and Egyptian propolis, each alone or concurrently administered on acetic acid-induced ulcerative colitis in rats. Methods: Eight groups of 5 rats each were used: normal control group with distilled water, model group, two groups with M. oleifera seeds(100 and 200 mg/kg), two groups with propolis(50 and 100 mg/kg), one group with concurrent administration of both, and one group with prednisolone(reference drug). Macro-and microscopic picture, ulcer index and lesion scores, oxidative markers, inflammatory mediators, in vitro activity of the inflammatory enzymes and 1, 1-diphenyl-2-picrylhydrazyl free radicals scavenging activity were evaluated. The phytochemical constituents of both extracts were explored by GC-MS analysis. Results: Both treatments modulated the macro-and microscopic picture, decreased the ulcerative index, lesion score, oxidative markers and inflammatory mediators, and inhibited the COX-1 and COX-2 enzymes. Propolis appeared to be powerful free radicals scavenger. A powerful synergistic effect of both treatments in modulating the course of the disease was reported. GCMS analysis of methanol extract of M. oleifera seeds and propolis revealed the presence of 50 and 34 compounds, respectively. Conclusions: M. oleifera seeds and propolis methanol extracts have modulated the course of acetic acid-induced ulcerative colitis. Moreover, both treatments induce a good synergistic effect against the disease. Isolation of the active constituents is recommended.

关键词： Moringa oleifera seeds Propolis Ulcerative colitis Phytochemical

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Price Discrimination in the Steel Industry:Evidence from Egypt

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Proceedings of Business and Economic Studies 2019年第3期2卷 1-7页

作者： doaa Salman Salma mohamed Department of Economics October University for Modern Sciences and ArtsEgypt

This paper studies and enlightens mainly price discrimination;which is simply selling products for differentiated ***,a literature framework is detailed with all the theories and types of price discrimination throughout the *** is a strategy that is used worldwide by so many companies and firms,but this paper studies specifically the activity of the major player in the Egyptian steel industry;Ezz *** research resulted in;that there is no price discrimination,activities are implied in the industry currently by the companies due to the interference of the ***,before that,the company applied some strategies that are illustrated in the paper in detail.

关键词： Price discrimination monopoly dominant strategy elasticity,steel market

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