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| 1 | Impact of cigarette smoking on response to interferon therapy in chronic hepatitis C Egyptian patients显示文摘AIM: Smoking may affect adversely the response rate to interferon-α. Our objective was to verify this issue among chronic hepatitis C patients. METHODS: Over the year 1998, 138 chronic hepatitis C male Egyptian patients presenting to Cairo Liver Center, were divided on the basis of smoking habit into: group I which comprised 38 smoker patients (>30 cigarettes/d) and group II which included 84 non-smoker patients. Irregular and mild smokers (16 patients) were excluded. Non eligible patients for interferon-~ therapy were excluded from the study and comprised 3/38 (normal ALT) in group I and 22/84 in group II (normal ALT, advanced cirrhosis and thrombocytopenia). Group I was randomly allocated into 2 sub-groups: group Ia comprised 18 patients who were subjected to therapeutic phlebotomy while sub-group Ib consisted of 17 patients who had no phlebotomy. In sub-group Ia, 3 patients with normal ALT after repeated phlebotomies were excluded from the study. Interferon-α2b 3 MU/TIW was given for 6 mo to 15 patients in group Ia, 17 patients in group Ib and 62 patients in group II. Biochemical, virological end-of- treatment and sustained responses were evaluated.RESULTS: At the end of interferon-α treatment, ALT was normalized in 3/15 patients (20%) in group Ia and 2/17 patients (11.8%) in group Ib compared to17/62 patients (27.4%) in group II (P=0.1). Whereas 2/15 patients (13.3%) in group Ia. and 2/17 patients (11.8%) in group Ib lost viraemia compared to 13/62 patients (26%) in group II(P=0.3). Six months later, ALT was persistently normal in 2/15 patients (13.3%) in group la and 1/17 patients (5.9%) in group Ib compared to 9/62 patients (14.5%) in group Ⅱ (P= 0.47). Viraemia was eliminated in 1/15 patients (6.7%) in group Ia and 1/17 patients (5.9%) in group Ib compared to 7/62 patients (11.3%) in group Ⅱ, but the results did not mount to statistical significance (P = 0.4). CONCLUSION: Smokers suffering from chronic hepatitis C tend to have a lower response rate to interferon-α compared to non-smokers. Therapeutic phlebotomy improves the response rate to interferon-α therapy among this group. | A.EI-Zayadi Osaima Selim H.Hamdy A.EI-Tawil Hanaa M.Badran M.Attia A.Saeed | 2004 | World Journal of Gastroenterology2004，10，20： | 4 |
| 2 | Optimization Study of Pulsed DC Nitrogen-Hydrogen Plasma in the Presence of an Active Screen Cage显示文摘A glow discharge plasma nitriding reactor in the presence of an active screen cage is optimized in terms of current density,filling pressure and hydrogen concentrations using optical emission spectroscopy(OES).The samples of AISI 304 are nitrided for different treatment times under optimum conditions.The treated samples were analyzed by X-ray diffraction(XRD) to explore the changes induced in the crystallographic structure.The XRD pattern confirmed the formation of iron and chromium nitrides arising from incorporation of nitrogen as an interstitial solid solution in the iron lattice.A Vickers microhardness tester was used to evaluate the surface hardness as a function of treatment time(h).The results showed clear evidence of improved surface hardness and a substantial amount of decrease in the treatment time compared with the previous work. | A.SAEED A.W.KHAN F.JAN H.U.SHAH M.ABRAR M.ZAKA-UI-ISLAM M.KHALID M.ZAKAULLAH | 2014 | Plasma Science and Technology2014，16，5： | 3 |
| 3 | A Drones Optimal Path Planning Based on Swarm Intelligence Algorithms显示文摘The smart city comprises various interlinked elements which communicate data and offers urban life to citizen.Unmanned Aerial Vehicles(UAV)or drones were commonly employed in different application areas like agriculture,logistics,and surveillance.For improving the drone flying safety and quality of services,a significant solution is for designing the Internet of Drones(IoD)where the drones are utilized to gather data and people communicate to the drones of a specific flying region using the mobile devices is for constructing the Internet-of-Drones,where the drones were utilized for collecting the data,and communicate with others.In addition,the SIRSS-CIoD technique derives a tuna swarm algorithm-based clustering(TSA-C)technique to choose cluster heads(CHs)and organize clusters in IoV networks.Besides,the SIRSS-CIoD technique involves the design of a biogeography-based optimization(BBO)technique to an optimum route selection(RS)process.The design of clustering and routing techniques for IoD networks in smart cities shows the novelty of the study.A wide range of experimental analyses is carried out and the comparative study highlighted the improved performance of the SIRSS-CIoD technique over the other approaches. | Mahmoud Ragab Ali Altalbe Abdullah Saad Al-Malaise ALGhamdi SAbdel-khalek Rashid A.Saeed | 2022 | Computers, Materials & Continua2022，，7： | 1 |
| 4 | Effect of i.v. tenoxicam during caesarean delivery on platelet activity显示文摘 | M.Elhakim A.Fathy H.Amine A.Saeed M.Mekawy | 2008 | Acta Anaesthesiologica Scandinavica2008，，5： | 1 |
| 5 | Design of Automated Opinion Mining Model Using Optimized Fuzzy Neural Network显示文摘Sentiment analysis or Opinion Mining (OM) has gained significant interest among research communities and entrepreneurs in the recentyears. Likewise, Machine Learning (ML) approaches is one of the interestingresearch domains that are highly helpful and are increasingly applied in severalbusiness domains. In this background, the current research paper focuses onthe design of automated opinion mining model using Deer Hunting Optimization Algorithm (DHOA) with Fuzzy Neural Network (FNN) abbreviatedas DHOA-FNN model. The proposed DHOA-FNN technique involves fourdifferent stages namely, preprocessing, feature extraction, classification, andparameter tuning. In addition to the above, the proposed DHOA-FNN modelhas two stages of feature extraction namely, Glove and N-gram approach.Moreover, FNN model is utilized as a classification model whereas GTOA isused for the optimization of parameters. The novelty of current work is thatthe GTOA is designed to tune the parameters of FNN model. An extensiverange of simulations was carried out on the benchmark dataset and the resultswere examined under diverse measures. The experimental results highlightedthe promising performance of DHOA-FNN model over recent state-of-the-arttechniques with a maximum accuracy of 0.9928. | Ala’A.Eshmawi Hesham Alhumyani Sayed Abdel Khalek Rashid A.Saeed Mahmoud Ragab Romany F.Mansour | 2022 | Computers, Materials & Continua2022，，5： | 0 |
| 6 | Preserving Privacy of User Identity Based on Pseudonym Variable in 5G显示文摘The fifth generation(5G)system is the forthcoming generation of the mobile communication system.It has numerous additional features and offers an extensively high data rate,more capacity,and low latency.However,these features and applications have many problems and issues in terms of security,which has become a great challenge in the telecommunication industry.This paper aimed to propose a solution to preserve the user identity privacy in the 5G system that can identify permanent identity by using Variable Mobile Subscriber Identity,which randomly changes and does not use the permanent identity between the user equipment and home network.Through this mechanism,the user identity privacy would be secured and hidden.Moreover,it improves the synchronization between mobile users and home networks.Additionally,its compliance with the Authentication and Key Agreement(AKA)structure was adopted in the previous generations.It can be deployed efficiently in the preceding generations because the current architecture imposes minimal modifications on the network parties without changes in the authentication vector’s message size.Moreover,the addition of any hardware to the AKA carries minor adjustments on the network parties.In this paper,the ProVerif is used to verify the proposed scheme. | Mamoon M.Saeed Mohammad Kamrul Hasan Rosilah Hassan Rania Mokhtar Rashid A.Saeed Elsadig Saeid Manoj Gupta | 2022 | Computers, Materials & Continua2022，，3： | 0 |
| 7 | Comparative Study of Plasma Parameters in Magnetic Pole Enhanced Inductively Coupled Argon Plasmas显示文摘Langmuir probe measurements of radio frequency (RF) magnetic pole enhanced inductively coupled (MaPE-ICP) argon plasma were accomplished to obtain the electron number densities and electron temperatures. The measurements were carried out with a fixed RF frequency of 13.56 MHz in a pressure range of 7.5 mTorr to 75 mTorr at an applied RF power of 10 W and 100 W. These results are compared with a global (volume average) model. The results show good agreement between theoretical and experimental measurements. The electron number density shows an increasing trend with both RF power and pressure while the electron temperature shows decreasing trend as the pressure increases. The difference in the plasma potential and floating potential as a function of electron temperature measured from the electrical probe and that obtained theoretically shows a linear relation with a small difference in the coefficient of proportionality. The intensity of the emission line at 750.4 nm due to 2p 1 → 1s 2 (Paschen's notation) transition closely follows the variation of n e with RF power and filling gas pressure. Measured electron energy probability function (EEPF) shows that electron occupation changes mostly in the high-energy tail, which highlights close similarity of 750.4 nm argon line to n e . | F.JAN A.W. KHAN A.SAEED M.ZAKAULLAH | 2013 | Plasma Science and Technology2013，15，4： | 0 |
| 8 | Investigation of 50 Hz Pulsed DC Nitrogen Plasma with Active Screen Cage by Trace Rare Gas Optical Emission Spectroscopy显示文摘Optical emission spectroscopy is used to investigate the nitrogen-hydrogen with trace rare gas(4% Ar) plasma generated by 50 Hz pulsed DC discharges.The filling pressure varies from1 mbar to 5 mbar and the current density ranges from 1 mA·cm-2to 4 mA·cm-2.The hydrogen concentration in the mixture plasma varies from 0% to 80%,with the objective of identifying the optimum pressure,current density and hydrogen concentration for active species([N] and [N2])generation.It is observed that in an N2-H2gas mixture,the concentration of N atom density decreases with filling pressure and increases with current density,with other parameters of the discharge kept unchanged.The maximum concentrations of active species were found for 40% H2in the mixture at 3 mbar pressure and current density of 4 mA·cm-2. | A.SAEED A.W.KHAN M.SHAFIQ F.JAN M.ABRAR M.ZAKA-UL-ISLAM M.ZAKAULLAH | 2014 | Plasma Science and Technology2014，16，4： | 0 |
| 9 | Optimized Tuned Deep Learning Model for Chronic Kidney Disease Classification显示文摘In recent times,Internet of Things(IoT)and Cloud Computing(CC)paradigms are commonly employed in different healthcare applications.IoT gadgets generate huge volumes of patient data in healthcare domain,which can be examined on cloud over the available storage and computation resources in mobile gadgets.Chronic Kidney Disease(CKD)is one of the deadliest diseases that has high mortality rate across the globe.The current research work presents a novel IoT and cloud-based CKD diagnosis model called Flower Pollination Algorithm(FPA)-based Deep Neural Network(DNN)model abbreviated as FPA-DNN.The steps involved in the presented FPA-DNN model are data collection,preprocessing,Feature Selection(FS),and classification.Primarily,the IoT gadgets are utilized in the collection of a patient’s health information.The proposed FPA-DNN model deploys Oppositional Crow Search(OCS)algorithm for FS,which selects the optimal subset of features from the preprocessed data.The application of FPA helps in tuning the DNN parameters for better classification performance.The simulation analysis of the proposed FPA-DNN model was performed against the benchmark CKD dataset.The results were examined under different aspects.The simulation outcomes established the superior performance of FPA-DNN technique by achieving the highest sensitivity of 98.80%,specificity of 98.66%,accuracy of 98.75%,F-score of 99%,and kappa of 97.33%. | R.H.Aswathy P.Suresh Mohamed Yacin Sikkandar S.Abdel-Khalek Hesham Alhumyani Rashid A.Saeed Romany F.Mansour | 2022 | Computers, Materials & Continua2022，，2： | 0 |
| 10 | A Double Threshold Energy Detection-Based Neural Network for Cognitive Radio Networks显示文摘In cognitive radio networks(CoR),the performance of cooperative spectrum sensing is improved by reducing the overall error rate or maximizing the detection probability.Several optimization methods are usually used to optimize the number of user-chosen for cooperation and the threshold selection.However,these methods do not take into account the effect of sample size and its effect on improving CoR performance.In general,a large sample size results in more reliable detection,but takes longer sensing time and increases complexity.Thus,the locally sensed sample size is an optimization problem.Therefore,optimizing the local sample size for each cognitive user helps to improve CoR performance.In this study,two new methods are proposed to find the optimum sample size to achieve objective-based improved(single/double)threshold energy detection,these methods are the optimum sample size N^(*)and neural networks(NN)optimization.Through the evaluation,it was found that the proposed methods outperform the traditional sample size selection in terms of the total error rate,detection probability,and throughput. | Nada M.Elfatih Elmustafa Sayed Ali Maha Abdelhaq Raed Alsaqour Rashid A.Saeed | 2023 | Computer Systems Science & Engineering2023，45，4： | 0 |
| 11 | Pseudonym Mutable Based Privacy for 5G User Identity显示文摘Privacy,identity preserving and integrity have become key problems for telecommunication standards.Significant privacy threats are expected in 5G networks considering the large number of devices that will be deployed.As Internet of Things(IoT)and long-term evolution for machine type(LTE-m)are growing very fast with massive data traffic the risk of privacy attacks will be greatly increase.For all the above issues standards’bodies should ensure users’identity and privacy in order to gain the trust of service providers and industries.Against such threats,5G specifications require a rigid and robust privacy procedure.Many research studies have addressed user privacy in 5G networks.This paper proposes a method to enhance user identity privacy in 5G systems through a scheme to protect the international mobile subscriber identity(IMSI)using a mutable mobile subscriber identity(MMSI)that changes randomly and avoids the exchange of IMSIs.It maintains authentication and key agreement(AKA)structure compatibility with previous mobile generations and improves user equipment(UE)synchronization with home networks.The proposed algorithm adds no computation overhead to UE or the network except a small amount in the home subscriber server(HSS).The proposed pseudonym mutable uses the XOR function to send the MMSI from the HSS to the UE which is reducing the encryption overhead significantly.The proposed solution was verified by ProVerif. | Rashid A.Saeed Mamoon M.Saeed Rania A.Mokhtar Hesham Alhumyani S.Abdel-Khalek | 2021 | Computer Systems Science & Engineering2021，39，10： | 0 |
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