检索结果-南通市图书馆

BIOCELL 2021年第5期45卷 1263-1271页

作者： MOHAMMAD EL-METWALLY MAMDOUH ABDEL-MOGIB MANAL ELFEDAWY GAAD SOHSAH ahmed rezk MAHMOUD MOUSTAFA MOHAMED SHAABAN Botany and Microbiology Department Faculty of ScienceDamanhour UniversityDamanhour22511Egypt Chemistry Department Faculty of ScienceMansoura UniversityEl-Mansoura35516Egypt Bioprocess Development Department Genetic Engineering and Biotechnology Research InstituteCity of Scientific Research and Technological Applications(SRTA-City)New Borg El-Arab CityAlexandria21934Egypt Biology Department College of ScienceKing Khalid UniversityAbha9004Saudi Arabia Chemistry of Natural Compounds Department Division of Pharmaceutical IndustriesNational Research CentreDokki-Cairo12622Egypt Organic and Bioorganic Chemistry Department of ChemistryBielefeld UniversityBielefeld33615Germany

Microorganisms are a huge mine of bioactive metabolites,and actinomycetes are one of the very active groups in this *** this article,we are concerned about the full taxonomical characterization of Streptomyces lividans AM,isolated from Egyptian *** isolate produced three new bioactive metabolites,namely:1-Nona-decanoyl,4-oleyl disuccinate(1),filoboletic acid;(9Z,11E)-8,13-dihydroxy octadeca-9,11-dienoic acid(2),and sitosteryl-3β-D-glucoside(3).Extensive 1D and 2D NMR and HR-mass spectrometry were used to elucidate the structures of the three ***,ten known compounds were also *** antimicrobial activity of the producing organism and newly reported compounds(1–3)was investigated against a selected group of pathogenic microorganisms.A full taxonomical characterization of the strain was described as well.

关键词： Bioactive metabolites Streptomyces sp. Taxonomy Biological activity

Evaluations of Chris-Jerry Data Using Generalized Progressive Hybrid Strategy and Its Engineering Applications

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2024年第9期140卷 3073-3103页

作者： Refah Alotaibi Hoda rezk ahmed Elshahhat Department of Mathematical Sciences College of SciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Statistics Al-Azhar UniversityCairo11884Egypt Faculty of Technology and Development Zagazig UniversityZagazig44519Egypt

A new one-parameter Chris-Jerry distribution,created by mixing exponential and gamma distributions,is discussed in this article in the presence of incomplete lifetime *** examine a novel generalized progressively hybrid censoring technique that ensures the experiment ends at a predefined period when the model of the test participants has a Chris-Jerry(CJ)*** the indicated censored data is present,Bayes and likelihood estimations are used to explore the CJ parameter and reliability indices,including the hazard rate and reliability *** acquire the estimated asymptotic and credible confidence intervals of each unknown ***,via the squared-error loss,the Bayes’estimators are obtained using gamma *** Bayes estimators cannot be expressed theoretically since the likelihood density is created in a complex manner;nonetheless,Markov-chain Monte Carlo techniques can be used to evaluate *** effectiveness of the investigated estimations is assessed,and some recommendations are given using Monte Carlo ***,an analysis of two engineering applications,such as mechanical equipment and ball bearing data sets,shows the applicability of the proposed approaches that may be used in real-world settings.

关键词： Chris-Jerry model generalized censoring likelihood and Bayes estimations MCMC algorithms engineering applications

Optimal Tuning of FOPID-Like Fuzzy Controller for High-Performance Fractional-Order Systems

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第1期70卷 171-180页

作者： ahmed M.Nassef Hegazy rezk College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Computers and Automatic Control Engineering Faculty of EngineeringTanta UniversityTanta31733Egypt Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt

This paper addresses improvements in fractional order(FO)system *** the classical proportional-integral-derivative(PID)-like fuzzy controller can provide adequate results for both transient and steady-state responses in both linear and nonlinear systems,the FOPID fuzzy controller has been proven to provide better *** high performance was obtained thanks to the combinative benefits of FO and fuzzy-logic *** paper describes how the optimal gains and FO parameters of the FOPID controller were obtained by the use of a modern optimizer,social spider optimization,in order to improve the response of fractional dynamical *** group of systems had usually produced multimodal error surfaces/functions that occasionally had many variant local *** integral time of absolute error(ITAE)used in this study was the error *** results showed that the strategy adopted produced superior performance regarding the lowest ITAE *** reached a value of 88.22 while the best value obtained in previous work was 98.87.A further comparison between the current work and previous studies concerning transient-analysis factors of the model’s response showed that the strategy proposed was the only one that was able to produce fast rise time,low-percentage overshoot,and very small steady-state ***,the other strategies were good for one factor,but not for the others.

关键词： Fuzzy-logic control fractional-order systems parameter estimation optimization

A Transfer Learning-Enabled Optimized Extreme Deep Learning Paradigm for Diagnosis of COVID-19

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第1期70卷 1381-1399页

作者： ahmed Reda Sherif Barakat Amira rezk Department of Information System Faculty of Computer and Information ScienceMansoura UniversityMansouraEgypt

Many respiratory infections around the world have been caused by ***-19 is one of the most serious coronaviruses due to its rapid spread between people and the lowest survival *** is a high need for computer-assisted diagnostics(CAD)in the area of artificial intelligence to help doctors and radiologists identify COVID-19 patients in cloud *** learning(ML)has been used to examine chest X-ray *** this paper,a new transfer learning-based optimized extreme deep learning paradigm is proposed to identify the chest X-ray picture into three classes,a pneumonia patient,a COVID-19 patient,or a normal ***,three different pre-trainedConvolutionalNeuralNetwork(CNN)models(resnet18,resnet25,densenet201)are employed for deep feature ***,each feature vector is passed through the binary Butterfly optimization algorithm(bBOA)to reduce the redundant features and extract the most representative ones,and enhance the performance of the CNN *** selective features are then passed to an improved Extreme learning machine(ELM)using a BOA to classify the chest X-ray *** proposed paradigm achieves a 99.48%accuracy in detecting covid-19 cases.

关键词： Butterfly optimization algorithm(BOA) covid-19 chest X-ray images convolutional neural network(CNN) extreme learning machine(ELM) feature selection

Energy Management Control StraEnergy Management Control Strategy for Renewable Energy System Based on Spotted Hyena Optimizertegy for Renewable Energy System Based on Spotted Hyena Optimizer

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第5期67卷 2271-2281页

作者： Hegazy rezk ahmed Fathy Mokhtar Aly Mohamed N.Ibrahim College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityWadi Addawaser11991Saudi Arabia Electrical Engineering Department Faculty of EngineeringMinia UniversityMinia61111Egypt Electrical Engineering Department Faculty of EngineeringJouf UniversitySakakaSaudi Arabia Electrical Power and Machine Department Faculty of EngineeringZagazig UniversityZagazigEgypt Department of Electrical Engineering Aswan UniversityAswan81542Egypt Electronics Engineering Department Universidad Tecnica Federico Santa MariaValparaiso2390123Chile Department of Electromechanical Systems and Metal EngineeringGhent UniversityGhent9000Belgium FlandersMake@UGent–corelab EEDT-MP 3001LeuvenBelgium Electrical Engineering Department Kafrelshiekh UniversityKafr el-Sheikh33511Egypt

Hydrocarbons,carbon monoxide and other pollutants from the transportation sector harm human health in many *** cell(FC)has been evolving rapidly over the past two decades due to its efficient mechanism to transform the chemical energy in hydrogen-rich compounds into electrical *** main drawback of the standalone FC is its slow dynamic response and its inability to supply rapid variations in the load ***,adding energy storage systems is ***,to manage and distribute the power-sharing among the hybrid proton exchange membrane(PEM)fuel cell(FC),battery storage(BS),and supercapacitor(SC),an energy management strategy(EMS)is *** this research work,an optimal EMS based on a spotted hyena optimizer(SHO)for hybrid PEM fuel cell/BS/SC is *** main goal of an EMS is to improve the performance of hybrid FC/BS/SC and to reduce the amount of hydrogen *** prove the superiority of the SHO method,the obtained results are compared with the chimp optimizer(CO),the artificial ecosystem-based optimizer(AEO),the seagull optimization algorithm(SOA),the sooty tern optimization algorithm(STOA),and the coyote optimization algorithm(COA).Two main metrics are used as a benchmark for the comparison:the minimum consumed hydrogen and the efficiency of the *** main findings confirm that the minimum amount of hydrogen consumption and maximum efficiency are achieved by the proposed SHO based EMS.

关键词： Modelling optimization energy management fuel cell supercapacitor hybrid system

Load Frequency Control of Multi-interconnected Renewable Energy Plants Using Multi-Verse Optimizer

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2021年第5期37卷 219-231页

作者： Hegazy rezk Mohamed A.Mohamed ahmed A.Zaki Diab N.Kanagaraj College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityWadi Addawaser11991Saudi Arabia Electrical Engineering Department Faculty of EngineeringMinia UniversityMinia61111Egypt

A reliable approach based on a multi-verse optimization algorithm(MVO)for designing load frequency control incorporated in multi-interconnected power system comprising wind power and photovoltaic(PV)plants is presented in this *** has been applied for optimizing the control parameters of the load frequency controller(LFC)of the multi-source power system(MSPS).The MSPS includes thermal,gas,and hydro power plants for energy ***,the MSPS is integrated with renewable energy sources(RES).The MVO algorithm is applied to acquire the ideal parameters of the controller for controlling a single area and a multi-area MSPS integrated with *** link is utilized in shunt with AC multi-areas interconnection tie *** proposed scheme has achieved robust performance against the disturbance in loading conditions,variation of system parameters,and size of step load perturbation(SLP).Meanwhile,the simulation outcomes showed a good dynamic performance of the proposed controller.

关键词： Load frequency control multi-verse optimization multi-area power system renewable energy sources

Acaricidal activities of some essential oils and their monoterpenoidal constituents against house dust mite,Dermatophagoides pteronyssinus (Acari:Pyroglyphidae)

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2006年第12期7卷 957-962页

作者： SAAD El-Zemity HUSSIEN rezk SAHER Farok ahmed Zaitoon Department of Pesticide Chemistry Faculty of Agriculture Alexandria University Alexandria 21-545 Egypt Department of Economic Entomology Faculty of Agriculture Alexandria University Alexandria 21-545 Egypt

The acaricidal activities of fourteen essential oils and fourteen of their major monoterpenoids were tested against house dust mites Dermatophagoides pteronyssinus. Five concentrations were used over two different time intervals 24 and 48 h under laboratory conditions. In general, it was noticed that the acaricidal effect based on LC50 of either essential oils or monoterpenoids against the mite was time dependant. The LCso values were decreased by increasing of exposure time. Clove, matrecary, chenopodium, rosemary, eucalyptus and caraway oils were shown to have high activity. As for the monoterpenoids, cinnamaldehyde and chlorothymol were found to be the most effective followed by citronellol. This study suggests the use of the essential oils and their major constituents as ecofriendly biodegradable agents for the control of house dust mite, D. pteronyssinus.

关键词： Natural acaricides Essential oils Monoterpenoids House dust mite Dermatophagoides pteronyssinus

Predicting Drying Performance of Osmotically Treated Heat Sensitive Products Using Artificial Intelligence

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第6期67卷 3143-3160页

作者： S.M.Atiqure Rahman Hegazy rezk Mohammad Ali Abdelkareem M.Enamul Hoque Tariq Mahbub Sheikh Khaleduzzaman Shah ahmed M.Nassef Department of Sustainable and Renewable Energy Engineering University of SharjahSharjahUAE College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz University11911Al-KharjSaudi Arabia Electrical Engineering Department Faculty of EngineeringMinia University61517MiniaEgypt Chemical Engineering Department Faculty of EngineeringMinia University61517MiniaEgypt Department of Biomedical Engineering Military Institute of Science and TechnologyDhakaBangladesh Department of Mechanical Engineering Military Institute of Science and TechnologyDhakaBangladesh Department of Infrastructure Engineering Melbourne School of EngineeringThe University of MelbourneAustralia Computers and Automatic Control Engineering Department Faculty of EngineeringTanta UniversityEgypt

The main goal of this research is to develop and apply a robust Artificial Neural Networks(ANNs)model for predicting the characteristics of the osmotically drying treated potato and apple samples as a model heat-sensitive product in vacuum contact *** salt and sugar solutions were used as the osmotic solutions at 27◦*** of experiments were performed at various temperatures of 35◦C,40◦C,and 55◦C for conduction heat input under vacuum(−760 mm Hg)*** experiments were also performed in a pure vacuum without heat *** moisture content(DMC),effective moisture diffusivity,and mass flux were considered as the performance parameters in this *** revealed that the osmotic dehydration using a concentrated sugar solution shows a higher reduction in the initial moisture loss of 19.87%compared to 5.3%in the salt ***,a significant enhancement of drying performance of about 27%in DMC was observed for both samples at vacuum and 40◦C compared to pure vacuum drying *** the experimental data,a robust artificial neural network(ANN)was proposed to describe the osmotic dehydration’s behavior on the drying *** ANN model outputs are the dimensionless moisture contents(DMC),the diffusivity,and the mass *** the ANN inputs were the drying time,the percent of sugar solution,and the percent of salt *** the ANN apple’s model,the minimum root mean square error(RMSE)values were 0.0261,0.0349 and 0.0406,for DMC,diffusivity,and mass flux,*** the best correlation coefficients of the above three parameters’determination values were 0.9909,0.9867 and 0.9744,*** the ANN potato’s model,the minimum RMSE values were 0.0124,0.0140 and 0.0333,for DMC,diffusivity,and mass flux,*** the best correlation coefficients of the parameters’values were found 0.9969,0.9968 and 0.9736,***,the ANN model’s prediction has a perfect agreement with th

关键词： Artificial neural network prediction modeling osmotic drying kinetics

Atomic Dispersion of Rh on Interconnected Mo_(2)C Nanosheet Network Intimately Embedded in 3D Ni_(x)MoO_(y) Nanorod Arrays for pH-Universal Hydrogen Evolution

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Energy & Environmental Materials 2023年第5期6卷 236-250页

作者： Thi Luu Luyen Doan Dinh Chuong Nguyen Patrick M.Bacirhonde ahmed S.Yasin Abdelrahman I.rezk Nelson Y.Dzade Cheol Sang Kim Chan Hee Park Department of Bionanotechnology and Bioconvergence Engineering Graduate SchoolJeonbuk National UniversityJeonju Jeollabuk-do 54896Korea Department of Nano Convergence Engineering Jeonbuk National UniversityJeonju Jeollabuk-doJeonbuk 54896Korea Graduate School of Energy Science and Technology Chungnam National UniversityDaejeon 34134Korea Department of Energy and Mineral Engineering The Pennsylvania State UniversityUniversity Park State CollegePA 16802USA Division of Mechanical Design Engineering School of EngineeringJeonbuk National UniversityJeonju Jeollabuk-do 54896Korea Department of Bionanosystem Engineering Graduate School Jeonbuk National UniversityJeonju Jeollabuk-do 54896Korea

Herein,a simple synthetic approach is employed for the atomic dispersion of Rh atoms(Rh SAs)over the surface of interconnected Mo_(2)C nanosheets intimately embedded in a three-dimensional Ni_(x)MoO_(y)nanorod arrays(Ni_(x)MoO_(y)NRs)framework;we found that the introduction of both isolated Rh SAs and Ni_(x)MoO_(y)NRs adjusts the electrocatalytic function of the host Mo_(2)C toward the direction of being an advanced and highly stable electrocatalyst for efficient hydrogen evolution at pH-universal *** a result,the proposed catalyst outperforms most recently reported transition metal-based catalysts,and its performance even rivals that of commercial Pt/C,as demonstrated by its ultralow overpotentials of 31.7,109.7,and 95.4 mV at a current density of 10 mA cm^(-2),along with its small Tafel slopes of 42.4,51.2,and 46.8 mV dec^(-1)in acidic,neutral,and alkaline conditions,*** addition,the catalyst shows remarkable long-term stability over all pH values with good maintenance of its catalytic activity and structural characteristics after continuous operation.

关键词： hydrogen evolution reaction Mo_(2)C nanosheets Ni_(x)MoO_(y)nanorod arrays pH-universal catalyst single Rh atoms

Design and Synthesis of New Compounds Derived from Phenyl Hydrazine and Different Aldehydes as Anticancer Agents

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

International Journal of Organic Chemistry 2022年第1期12卷 28-39页

作者： Mo’men Salem rezk Ayyad Helmy Sakr ahmed Gaafer Medicinal Chemistry Department Faculty of Pharmacy Sinai University Northern Sinai Egypt Pharmaceutical Chemistry Department Faculty of Pharmacy Al-Azhar University Cairo Egypt Medical Services Sector Ministry of Intrior Cairo Egypt

In this work we synthesized new derivatives from Phenyl Hydrazine and series of different Aldehydes (derivatives of benzylidenes). The synthesized compounds contain different aromatic Aldehydes which attached by Benzene ring via Hydrazine moiety in glacial acetic acid. These derivatives were characterized by TLC, melting points, Infrared Red, Proton Nuclear Magnetic Resonance, Carbon Thirteen Nuclear Magnetic Resonance and Mass Spectroscopy. Finally, these synthesized derivatives were tested for antiproliferative activity against multiple normal and cancerous cell lines, HepG2 (Liver cancer) and MCF-7 (Breast cancer) cell lines were used for cytotoxic assay.

关键词： Phenyl Hydrazine Aromatic Aldehydes Benzylidene Synthesis Cytotoxic Assay Anticancer HepG2 and MCF-7