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Tumor characteristics of hepatocellular carcinoma after direct-acting antiviral treatment for hepatitis C: Comparative analysis with antiviral therapy-naive patients

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World Journal of Hepatology 2021年第11期13卷 1743-1752页

作者： Magdy Fouad Mohamed el Kassas elham Ahmed reem el sheemy Department of Tropical Medicine and Gastroenterology Minia UniversityMinia 61519Egypt Department of Endemic Medicine Faculty of MedicineHelwan UniversityCairo 11795Egypt Department of Internal Medicine Minia UniversityMinia 61519Egypt Department of Tropical Medicine Minia UniversityMinia 61111Egypt

BACKGROUND Insufficient and contradictory data are available about the relation between directacting antivirals(DAAs)and hepatocellular carcinoma(HCC)development in patients with hepatitis C virus(HCV).AIM To analyze differences in basic clinical,radiological,and laboratory characteristics in addition to tumor behavior upon HCC diagnosis between patients with and without a previous history of DAAs *** This multicenter case-control study included 497 patients with chronic HCVrelated HCC,allocated into one of two groups according to their history of antiviral treatment for their *** Group I included 151 HCC patients with a history of DAAs,while 346 patients who had never been treated with DAAs were assigned to group II.A significant difference was observed between both groups regarding basic assessment scores(Child,MelD,and BCLC),which tended to have more advanced liver disease and HCC stage upon diagnosis in group ***,serum albumin was significantly affected,and serumα-fetoprotein was significantly higher in group II(P<0.001).In addition,group I showed significant HCC multicentricity than group II,while the incidence of portal vein thrombosis was significantly higher in group I(P<0.001).CONCLUSION The basic clinical scores and laboratory characteristics of HCC patients are advanced in patients who are naïve to DAAs treatment;however,HCC behavior is more aggressive in DAA-treated patients.

关键词： Hepatocellular carcinoma Direct-acting antiviral treatment Hepatitis C Tumor behavior Occurrence

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Non-pulmonary involvement in COVID-19:A systemic disease rather than a pure respiratory infection

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World Journal of Clinical Cases 2023年第3期11卷 493-505页

作者： Mohamed el-Kassas Mohamed Alboraie Mohamed elbadry reem el sheemy Mohamed Abdellah Shimaa Afify Ahmad Madkour Mariam Zaghloul Abeer Awad Mohamed-Naguib Wifi Amira Al Balakosy Mohamed eltabbakh Department of Endemic Medicine Faculty of MedicineHelwan UniversityCairo 11731Egypt Department of Internal Medicine Al-Azhar UniversityCairo 11884Egypt Department of Tropical Medicine Minia Faculty of MedicineMinia UniversityMinia 61511Egypt Department of Gastroenterology National Hepatology and Tropical Medicine Research InstituteCairo 11451Egypt Department of Hepatology Gastroenterology and Infectious DiseasesFaculty of MedicineKafrelsheikh UniversityKafrelsheikh 33511Egypt Department of Internal Medicine Hepatogastroenterology UnitKasr Al-Ainy School of MedicineCairo 11451Egypt Department of Tropical Medicine Ain Shams UniversityCairo 11451Egypt

During the early phase of the coronavirus disease 2019(COVID-19)pandemic caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),diagnosis was difficult due to the diversity in symptoms and imaging findings and the variability of disease *** manifestations are reportedly the main clinical presentations of COVID-19 *** are working hard on a myriad of clinical,epidemiological,and biological aspects to better understand SARS-CoV-2 infection,aiming to mitigate the ongoing *** reports have documented the involvement of various body systems and organs apart from the respiratory tract including the gastrointestinal,liver,immune system,renal,and neurological *** involvement will result in diverse presentations related to effects on these *** presentations such as coagulation defects and cutaneous manifestation may also *** with specific comorbidities including obesity,diabetes,and hypertension have increased morbidity and mortality risks with COVID-19.

关键词： COVID-19 Non-pulmonary Extrapulmonary Clinical manifestations Systemic disease

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Hemostatic system and COVID-19 crosstalk:A review of the available evidence

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World Journal of Methodology 2022年第5期12卷 331-349页

作者： Mohamed-Naguib Wifi Mohamed Abdelkader Morad reem el sheemy Nermeen Abdeen Shimaa Afify Mohammad Abdalgaber Abeer Abdellatef Mariam Zaghloul Mohamed Alboraie Mohamed el-Kassas Department of Internal Medicine Hepatogastroenterology UnitKasr Al-Ainy School of MedicineCairo UniversityCairo 11451Egypt Clinical Hematology Unit Department of Internal MedicineKasr Al-AinyFaculty of MedicineCairo UniversityCairo 11451Egypt Department of Tropical Medicine Minia Faculty of MedicineMinia UniversityMinia 61511Egypt Department of Tropical Medicine Faculty of MedicineAlexandria UniversityAlexandria 21523Egypt Department of Gastroenterology National Hepatology and Tropical MedicineNational Hepatology and Tropical Medicine Research InstituteCairo 11451Egypt Department of Gastroenterology and Hepatology Police Authority HospitalAgozaGiza 12511Egypt Department of Hepatology Gastroenterology and Infectious DiseasesFaculty of MedicineKafrelsheikh UniversityKafrelsheikh 33511Egypt Department of Internal Medicine Al-Azhar UniversityCairo 11884Egypt Department of Endemic Medicine Faculty of MedicineHelwan UniversityHelwan 11731Egypt

Since the discovery of severe acute respiratory syndrome coronavirus 2(SARSCoV-2)and its resultant coronavirus disease 2019(COVID-19)pandemic,respiratory manifestations have been the mainstay of clinical diagnosis,laboratory evaluations,and radiological *** time passed,other pathological aspects of SARS-CoV-2 have been *** hemostatic abnormalities have been reported since the rise of the pandemic,which was sometimes superficial,transient,or *** thrombocytopenia,thrombocytosis,venous,arterial thromboembolism,and disseminated intravascular coagulation are among the many hemostatic events associated with *** thromboembolism necessitating therapeutic doses of anticoagulants is more frequently seen in severe cases of COVID-19,especially in patients admitted to intensive care *** complications rarely arise in COVID-19 patients either due to a hemostatic imbalance resulting from severe disease or as a complication of over *** the pathogenesis of coagulation disturbance in SARS-CoV-2 infection is not yet understood,professional societies recommend prophylactic antithrombotic therapy in severe cases,especially in the presence of abnormal coagulation *** review article discusses the various available evidence on coagulation disorders,management strategies,outcomes,and prognosis associated with COVID-19 coagulopathy,which raises awareness about the importance of anticoagulation therapy for COVID-19 patients to guard against possible thromboembolic events.

关键词： SARS-CoV-2 COVID-19 Thrombosis Pulmonary embolism Disseminated intravascular coagulation

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Unique situation of hepatocellular carcinoma in Egypt:A review of epidemiology and control measures

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World Journal of Gastrointestinal Oncology 2021年第12期13卷 1919-1938页

作者： reem Ezzat Mohamed eltabbakh Mohamed el Kassas Internal Medicine Department Faculty of MedicineAssiut UniversityAssiut 71515Egypt Tropical Medicine Department Faculty of MedicineAin Shams UniversityCairo 11566Egypt Endemic Medicine Department Faculty of MedicineHelwan UniversityCairo 11795CairoEgypt

Hepatocellular carcinoma(HCC)is the sixth most common primary malignancy worldwide,and the third most common cause of death among cancers *** occurs in several pre-existing conditions,including hepatitis C,hepatitis B virus,and non-alcoholic *** used to be the country with the heaviest hepatitis C virus(HCV)*** relationship between HCV and HCC is an important research *** Egypt,HCC is a significant public health problem.A possible cause for the increasing rates of detection of HCC in Egypt is the mass screening program that was carried by the government for detecting and treating HCV.A multidisciplinary approach is now widely applied to HCC management in health centers all over *** treatment modalities are available in Egypt,with success rates comparable to global *** Egyptian health authorities have made the elimination of HCV from Egypt a special priority,and this approach should lead to a decrease in number of HCC cases in the near *** this article we review the current situation of HCC in Egypt,including epidemiological aspects,relevant risk factors for HCC development,strategies,and efforts established by health authorities for the screening and prevention of both HCV and HCC in *** highlight the different modalities for HCC treatment.

关键词： Hepatocellular carcinoma Liver cancer Hepatitis C virus Hepatitis B virus Screening Egypt

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Immunomodulatory effect of garlic oil extract on Schistosoma mansoni infected mice

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Asian Pacific Journal of Tropical Medicine 2015年第12期8卷 974-980页

作者： reem O.A.Kamel Nashwa A.el-Shinnawy Department of Zoology.Women College for Arts Science and EducationAin Shams University

Objective:To assess the effect potency,and the immunomodulatory response of garlic oil extract in enhancing the host's immune system against the disorders caused by Schistosoma mamoni(***) in mice at different stages of worm ***:A total of 70 male CD-I Swiss albino mice were divided into 7 *** Ⅰ:healthy *** Ⅱ:garlic oil group orally administrating 100 mg garlic oil extract /kg ***.3 d a week for 6 *** Ⅲ:infected with *** cercariae and left untreated for 42 *** Ⅳ:treated with garlic oil extract from day 1 to day 7 post infection(PI).Group Ⅴ:treated with garlic oil extract from day 14 till day 21 *** Ⅵ:administrating garlic oil extract from day 35 until day 42 *** Ⅶ received oil extract from the first day of infection for 42 ***:Garlic oil extract showed changes in the parasite tegument with a significant decrease in worm burden,hepatic and intestinal ova count with a decline in granuloma number and *** alterations were accompanied with a reduction in serum TNF- α,ICAM-1,IgG and IgM after 7 and 42 d post *** cercarial ***:Results obtained confirmed the effect of garlic oil extract on the larval and mature stage of the parasite and in enhancing the host's immune system against the disorders caused by *** in mice.

关键词： Schistosoma mansoni Garlic oil extract Worm load T

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Dipper Throated Optimization for Detecting Black-Hole Attacks inMANETs

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Computers, Materials & Continua 2023年第1期74卷 1905-1921页

作者： reem Alkanhel el-Sayed M.el-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Mostafa Abotaleb Doaa Sami Khafaga Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta 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 Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of System Programming South Ural State UniversityChelyabinsk454080Russia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

In terms of security and privacy,mobile ad-hoc network(MANET)continues to be in demand for additional debate and *** more MANET applications become data-oriented,implementing a secure and reliable data transfer protocol becomes a major concern in the ***,MANET’s lack of infrastructure,unpredictable topology,and restricted resources,as well as the lack of a previously permitted trust relationship among connected nodes,contribute to the attack detection burden.A novel detection approach is presented in this paper to classify passive and active black-hole *** proposed approach is based on the dipper throated optimization(DTO)algorithm,which presents a plausible path out of multiple paths for statistics transmission to boost MANETs’quality of service.A group of selected packet features will then be weighed by the DTO-based multi-layer perceptron(DTO-MLP),and these features are collected from nodes using the Low Energy Adaptive Clustering Hierarchical(LEACH)clustering *** is a powerful classifier and the DTO weight optimization method has a significant impact on improving the classification process by strengthening the weights of key features while suppressing the weights ofminor *** hybridmethod is primarily designed to combat active black-hole *** the LEACH clustering phase,however,can also detect passive black-hole *** effect of mobility variation on detection error and routing overhead is explored and evaluated using the suggested *** diverse mobility situations,the results demonstrate up to 97%detection accuracy and faster execution ***,the suggested approach uses an adjustable threshold value to make a correct conclusion regarding whether a node is malicious or benign.

关键词： Black-hole attack mobile ad-hoc network optimization dipper throated optimization

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Metaheuristic Optimization of Time Series Models for Predicting Networks Traffic

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Computers, Materials & Continua 2023年第4期75卷 427-442页

作者： reem Alkanhel el-Sayed M.el-kenawy D.L.elsheweikh Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Doaa Sami Khafaga Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of Computer Science Faculty of Specific EducationMansoura UniversityEgypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia

Traffic prediction of wireless networks attracted many researchersand practitioners during the past decades. However, wireless traffic frequentlyexhibits strong nonlinearities and complicated patterns, which makes it challengingto be predicted accurately. Many of the existing approaches forpredicting wireless network traffic are unable to produce accurate predictionsbecause they lack the ability to describe the dynamic spatial-temporalcorrelations of wireless network traffic data. In this paper, we proposed anovel meta-heuristic optimization approach based on fitness grey wolf anddipper throated optimization algorithms for boosting the prediction accuracyof traffic volume. The proposed algorithm is employed to optimize the hyperparametersof long short-term memory (LSTM) network as an efficient timeseries modeling approach which is widely used in sequence prediction *** prove the superiority of the proposed algorithm, four other optimizationalgorithms were employed to optimize LSTM, and the results were *** evaluation results confirmed the effectiveness of the proposed approachin predicting the traffic of wireless networks accurately. On the other hand,a statistical analysis is performed to emphasize the stability of the proposedapproach.

关键词： Network traffic soft computing LSTM metaheuristic optimization

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Network Intrusion Detection Based on Feature Selection and Hybrid Metaheuristic Optimization

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Computers, Materials & Continua 2023年第2期74卷 2677-2693页

作者： reem Alkanhel el-Sayed M.el-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Manal Abdullah Alohali Mostafa Abotaleb Doaa Sami Khafaga Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Information Systems Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of System Programming South Ural State UniversityChelyabinsk454080Russia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Applications of internet-of-things(IoT)are increasingly being used in many facets of our daily life,which results in an enormous volume of *** computing and fog computing,two of the most common technologies used in IoT applications,have led to major security *** are on the rise as a result of the usage of these technologies since present security measures are *** artificial intelligence(AI)based security solutions,such as intrusion detection systems(IDS),have been proposed in recent *** technologies that require data preprocessing and machine learning algorithm-performance augmentation require the use of feature selection(FS)techniques to increase classification accuracy by minimizing the number of features *** the other hand,metaheuristic optimization algorithms have been widely used in feature selection in recent *** this paper,we proposed a hybrid optimization algorithm for feature selection in *** proposed algorithm is based on grey wolf(GW),and dipper throated optimization(DTO)algorithms and is referred to as *** proposed algorithm has a better balance between the exploration and exploitation steps of the optimization process and thus could achieve better *** the employed IoT-IDS dataset,the performance of the proposed GWDTO algorithm was assessed using a set of evaluation metrics and compared to other optimization approaches in 2678 CMC,2023,vol.74,no.2 the literature to validate its *** addition,a statistical analysis is performed to assess the stability and effectiveness of the proposed *** results confirmed the superiority of the proposed approach in boosting the classification accuracy of the intrusion in IoT-based networks.

关键词： Feature selection grey wolf optimization dipper throated optimization intrusion detection internet-of-things(IoT)

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Hybrid Grey Wolf and Dipper Throated Optimization in Network Intrusion Detection Systems

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Computers, Materials & Continua 2023年第2期74卷 2695-2709页

作者： reem Alkanhel Doaa Sami Khafaga el-Sayed M.el-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Rashid Amin Mostafa Abotaleb B.M.el-den Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science University of Engineering and TechnologyTaxilaPakistan Department of System Programming South Ural State UniversityChelyabinsk454080Russia

The Internet of Things(IoT)is a modern approach that enables connection with a wide variety of devices *** to the resource constraints and open nature of IoT nodes,the routing protocol for low power and lossy(RPL)networks may be vulnerable to several routing ***’s why a network intrusion detection system(NIDS)is needed to guard against routing assaults on RPL-based IoT *** imbalance between the false and valid attacks in the training set degrades the performance of machine learning employed to detect network ***,we propose in this paper a novel approach to balance the dataset classes based on metaheuristic optimization applied to locality-sensitive hashing and synthetic minority oversampling technique(LSH-SMOTE).The proposed optimization approach is based on a new hybrid between the grey wolf and dipper throated optimization *** prove the effectiveness of the proposed approach,a set of experiments were conducted to evaluate the performance of NIDS for three cases,namely,detection without dataset balancing,detection with SMOTE balancing,and detection with the proposed optimized LSHSOMTE *** results showed that the proposed approach outperforms the other approaches and could boost the detection *** addition,a statistical analysis is performed to study the significance and stability of the proposed *** conducted experiments include seven different types of attack cases in the RPL-NIDS17 *** on the 2696 CMC,2023,vol.74,no.2 proposed approach,the achieved accuracy is(98.1%),sensitivity is(97.8%),and specificity is(98.8%).

关键词： Metaheuristics grey wolf optimization dipper throated optimization dataset balancing locality sensitive hashing SMOTE

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Double Deep Q-Network Method for Energy Efficiency and Throughput in a UAV-Assisted Terrestrial Network

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Computer Systems Science & Engineering 2023年第7期46卷 73-92页

作者： Mohamed Amine Ouamri reem Alkanhel Daljeet Singh el-sayed M.el-kenaway Sherif S.M.Ghoneim University Grenoble Alpes CNRSGrenoble INPLIGDRAKKAR Teams38000GrenobleFrance Laboratoire d’informatique Médical Universitéde BejaiaTarga OuzemourQ22R+475Algeria Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Research and Development Centre for Space ResearchSchool of Electronics and Electrical EngineeringLovely Professional UniversityPhagwara144411India Department of Communication and electronics Delta Higher Institute of Engineering and TechnologyMansouraEgypt electrical Engineering Department College of EngineeringTaif UniversityP.O.BOX 11099Taif21944Saudi Arabia

Increasing the coverage and capacity of cellular networks by deploying additional base stations is one of the fundamental objectives of fifth-generation(5G)***,it leads to performance degradation and huge spectral consumption due to the massive densification of connected devices and simultaneous access *** meet these access conditions and improve Quality of Service,resource allocation(RA)should be carefully ***,RA problems are nonconvex optimizations,which are performed using heuristic methods,such as genetic algorithm,particle swarm optimization,and simulated ***,the application of these approaches remains computationally expensive and unattractive for dense cellular ***,artificial intelligence algorithms are used to improve traditional RA *** learning is a promising tool for addressing resource management problems in wireless *** this study,we investigate a double deep Q-network-based RA framework that maximizes energy efficiency(EE)and total network throughput in unmanned aerial vehicle(UAV)-assisted terrestrial ***,the system is studied under the constraints of ***,the optimization problem is formulated as a mixed integer nonlinear *** this framework,we evaluated the effect of height and the number of UAVs on EE and ***,in accordance with the experimental results,we compare the proposed algorithm with several artificial intelligence *** results indicate that the proposed approach can increase EE with a considerable throughput.

关键词： UAV terrestrial network reinforcement learning mmWave resource allocation

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