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Highly efficient enzymolysis and fermentation of corn stalk into L-lactic acid by enzyme-bacteria friendly ionic liquid pretreatment

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Green Chemical Engineering 2022年第4期3卷 321-327页

作者： Yongqing Yang Yuehai Wang Xingmei Lu Xu Zheng Dongxia Yan Jiayu Xin ibrahim el-tantawy el-sayed Ying Kang Jiming Yang Beijing Key Laboratory of Ionic Liquids Clean Process Key Laboratory of Green Process EngineeringInstitute of Process EngineeringChinese Academy of SciencesBeijing100190China School of Chemistry and Chemical Engineering University of Chinese Academy of SciencesBeijing100049China Department of Chemistry Faculty of ScienceMenoufia UniversityShebin El-KomMenoufia32511Egypt Innovation Academy for Green Manufacture Chinese Academy of SciencesBeijing100190China Dalian National Laboratory for Clean Energy Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China

Ionic liquids(ILs)have been widely used in the pretreatment of ***,the effects of residual ILs on the enzymolysis and fermentation of biomass are still ***,a large quantity of water-washing is usually followed after biomass pretreatment to eliminate the inhibition of residual ILs on subsequent hydrolysis and fermentation *** this work,the effect of choline glycine([Ch][Gly])concentration on the activity of cellulase and Bacillus *** P38 was systematically investigated to explore the impacts of residual ILs on enzymolysis and *** results confirmed that the activities of them were almost not inhibited in low concentrations(less than 0.5 wt%)of[Ch][Gly].Under optimal pretreatment conditions,the maximum cellulose digestibility was 99.23%.Enzymatic hydrolysate was suitable for L-lactic acid fermentation without appreciable inhibition,and the highest sugar-acid conversion rate of 96.33%was obtained by simplified *** work provides an economic route to produce fermentable sugar and L-lactic acid,which shows an industrial application prospect in lignocellulosic biorefinery.

关键词： Corn stalk Biocompatibility Choline glycine Enzymatic hydrolysis L-lactic acid fermentation

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Dynamic Voting Classifier for Risk Identification in Supply Chain 4.0

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Computers, Materials & Continua 2021年第12期69卷 3749-3766页

作者： Abdullah Ali Salamai el-sayed M.el-kenawy ibrahim Abdelhameed Community college Jazan UniversityJazanKingdom of Saudi Arabia Delta Higher Institute of Engineering and Technology MansouraEgypt Faculty of Engineering Mansoura UniversityMansouraEgypt

Supply chain 4.0 refers to the fourth industrial revolution’s supply chain management systems,which integrate the supply chain’s manufacturing operations,information technology,and telecommunication *** supply chain 4.0 aims to improve supply chains’production systems and profitability,it is subject to different operational and disruptive *** risks are a big challenge in the cycle of supply chain 4.0 for controlling the demand and supply operations to produce and deliver products across IT *** paper proposes a voting classifier to identify the operational risks in the supply chain 4.0 based on a Sine Cosine Dynamic Group(SCDG)*** and exploitation mechanisms of the basic Sine Cosine Algorithm(CSA)are adjusted and controlled by two groups of agents that can be changed dynamically during the *** and internal features were collected and analyzed from different data sources of service level agreements and transaction data from various KSA firms to validate the proposed algorithm’s efficiency.A balanced accuracy of 0.989 and a Mean Square Error(MSE)of 0.0476 were achieved compared with other optimization-based classifier techniques.A one-way analysis of variance(ANOVA)and Wilcoxon rank-sum tests were performed to show the superiority of the proposed SCDG ***,the experimental results indicate the effectiveness of the proposed SCDG algorithm-based voting classifier.

关键词： Machine learning artificial intelligence supply chain 4.0 risk factors risk management

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Syntheses of Some 3-[1′(1′H)-Substituent-pyrazol-5′-yl] benzo[5,6]coumarins

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Chinese Journal of Chemistry 2002年第7期20卷 670-675页

作者： E-LDEEN ibrahim Mohey AL-WAKEel el-sayed Ismail el-MAWLA Ahmed Gad Faculty of Education Suez Canal University Port-said Egypt

3-[1′ (1′ H)-Substituent-pyrazol-5′-yl] benzo[5, 6] coumarins and3-(1′,2′-oxazol-5′-yl)benzo[5,6]coumarin were prepared via condensation of3-(2′-formyl-1′-chlorovinyl) benzo [5, 6] coumarin with hydrazine derivatives or *** of 3-[1′(1′ H)-pyrazol-5′-yl] benzo[5, 6] coumarin with alkyl halidcs, olefiniccompounds or acid chlorides are described.

关键词： heterocycle synthesis pyrazol-5′-ylbenzo [5, 6] coumarin alkylation atpyrazole nitrogen

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Advance Artificial Intelligence Technique for Designing Double T-Shaped Monopole Antenna

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Computers, Materials & Continua 2021年第12期69卷 2983-2995页

作者： el-sayed M.el-kenawy Hattan F.Abutarboush Ali Wagdy Mohamed Abdelhameed ibrahim Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt electrical Engineering Department College of EngineeringTaibah UniversityMedina 42353Saudi Arabia Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza 12613Egypt Wireless Intelligent Networks Center(WINC) School of Engineering and Applied SciencesNile UniversityGizaEgypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt

Machine learning(ML)has taken the world by a tornado with its prevalent applications in automating ordinary tasks and using turbulent insights throughout scientific research and design *** is a massive area within artificial intelligence(AI)that focuses on obtaining valuable information out of data,explaining why ML has often been related to stats and data *** advanced meta-heuristic optimization algorithm is proposed in this work for the optimization problem of antenna architecture *** algorithm is designed,depending on the hybrid between the Sine Cosine Algorithm(SCA)and the Grey Wolf Optimizer(GWO),to train neural networkbased Multilayer Perceptron(MLP).The proposed optimization algorithm is a practical,versatile,and trustworthy platform to recognize the design parameters in an optimal way for an endorsement double T-shaped monopole *** proposed algorithm likewise shows a comparative and statistical analysis by different curves in addition to the ANOVA and *** offers the superiority and validation stability evaluation of the predicted results to verify the procedures’accuracy.

关键词： Antenna optimization machine learning artificial intelligence multilayer perceptron sine cosine algorithm grey wolf optimizer

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Laterites-bearing REEs,Wadi Natash,Southeastern Desert,Egypt

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Journal of Rare Earths 2010年第3期28卷 471-476页

作者： Mohamed el-Ahmady ibrahim Nuclear Materials Authority P.O.Box530EL MaadiCairoEgypt

The present paper recorded the occurrence of laterites-bearing REEs in Natash *** laterite deposits occur as horizons(5-15 m in thickness) at the boundary between the Cretaceous sandstones,and Natash *** was recorded in more than twenty six occurrence distributed over an area of about 500 km2 along and around Wadi *** ranges in color from light-grey,dark-grey to *** distribution of laterite deposits is structural *** results of laterites proved the...

关键词： Natash flows laterites clay minerals REEs

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Wear properties of copper and copper composites powders consolidated by high-pressure torsion

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Friction 2020年第2期8卷 433-450页

作者： Mohamed ibrahim Abd el AAL Mechanical Engineering Department College of EngineeringPrince Sattam Bin Abdulaziz UniversityWadi Addawaser 11991Saudi Arabia Mechanical Design&Production Department Faculty of EngineeringZagazig UniversityZagazig 44519Egypt

The wear characteristics of Cu and Cu-SiC composite microsize powders consolidated by cold compaction combined with sintering or high-pressure torsion(HPT)were *** HPT processed(HPTed)samples with bimodal and trimodal microstructures and fine Cu grains and SiC particle sizes have superior hardness,reasonable ductility level,and high wear *** wear mass loss and coefficient of friction of HPTed samples were remarkably lower than that of cold-compacted and sintered samples as well as that of micro and nano Cu and Cu-SiC composites from previous *** sample fabrication method has an apparent influence on the wear *** wear mechanism was converted from adhesive,delamination,three-body mechanism,grooves(take off the SiC particles),and cracks into abrasive wear after *** can be considered a dominant wear mechanism in all *** worn surface morphology and analysis support the relationship between wear mechanism and characteristics.

关键词： Cu-SiC composite powders high-pressure torsion(HPT) fine and coarse grains wear characteristics worn surface morphology

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Two-Fold and Symmetric Repeatability Rates for Comparing Keypoint Detectors

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Computers, Materials & Continua 2022年第12期73卷 6495-6511页

作者： ibrahim el rube’ Department of Computer Engineering CCITTaif UniversityTaif21944Saudi Arabia

The repeatability rate is an important measure for evaluating and comparing the performance of keypoint *** repeatability rate measurementswere used in the literature to assess the effectiveness of keypoint *** these repeatability rates are calculated for pairs of images,the general assumption is that the reference image is often known and unchanging compared to other images in the same ***,these rates are asymmetrical as they require calculations in only one *** addition,the image domain in which these computations take place substantially affects their *** presented scatter diagram plots illustrate how these directional repeatability rates vary in relation to the size of the neighboring region in each pair of ***,both directional repeatability rates for the same image pair must be included when comparing different keypoint *** paper,firstly,examines several commonly utilized repeatability rate measures for keypoint detector *** researcher then suggests computing a two-fold repeatability rate to assess keypoint detector performance on similar scene ***,the symmetric mean repeatability rate metric is computed using the given two-fold repeatability ***,these measurements are validated using well-known keypoint detectors on different image groups with various geometric and photometric attributes.

关键词： Repeatability rate keypoint detector symmetric measure geometric transformation scatter diagram

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Synthesis and Structure-Activity Relationships of Novel Neocryptolepine Derivatives

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Chemical Research in Chinese Universities 2017年第3期33卷 373-377页

作者： Ahmed A. el-GOKHA Nader M. BOSHTA Mona K. ABO HUSSEIN ibrahim el-T. el sayed Chemistry Department Faculty of Science Menoufia University Shebin EI-Koam Menoufia Egypt Department of Pharmaceutical Chemistry Institute of Pharmaceutical Sciences Eberhard Karls Universitat Tubingen 72076 Tubingen Germany Pharmaceutical Institute Pharmaceutical Chemistry I University of Bonn 53121 Bonn Germany

Herein we reported the synthesis of a novel series of neocryptolepine（5-methyl-5H-indolo[2,3-b]quinoline） derivatives containing different substituents at Cll using methyl 1H-indole-3-carboxylate and N-methylaniline as starting material. The target 21 compounds were evaluated for their axltibacterial activity in vitro against gram-positive bacteria（B, subtilis and S. aureus） and gram-negative bacteria（E, coli and ***）. Almost all the tested compounds showed moderate to high activities against the four bacterial strains at the minimum inhibitory concentrations（MICs） of 1-10μg/mL. The obtained results suggest that part of the novel synthetic neocryptolepine derivatives exhibit significant antibacterial effect against all the tested organisms.

关键词： Neocryptolepine Indoloquinolme Antibacterial

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An Optimized Ensemble Model for Prediction the Bandwidth of Metamaterial Antenna

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Computers, Materials & Continua 2022年第4期71卷 199-213页

作者： Abdelhameed ibrahim Hattan F.Abutarboush Ali Wagdy Mohamed Mohamad Fouad el-sayed M.el-kenawy Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt electrical Engineering Department College of EngineeringTaibah UniversityMedina42353Saudi Arabia Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Wireless Intelligent Networks Center(WINC) School of Engineering and Applied SciencesNile UniversityGizaEgypt Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyEgypt

Metamaterial Antenna is a special class of antennas that uses metamaterial to enhance their *** size affects the quality factor and the radiation loss of the *** antennas can overcome the limitation of bandwidth for small *** learning(ML)model is recently applied to predict antenna *** can be used as an alternative approach to the trial-and-error process of finding proper parameters of the simulated *** accuracy of the prediction depends mainly on the selected *** models combine two or more base models to produce a better-enhanced *** this paper,a weighted average ensemble model is proposed to predict the bandwidth of the Metamaterial *** base models are used namely:Multilayer Perceptron(MLP)and Support Vector Machines(SVM).To calculate the weights for each model,an optimization algorithm is used to find the optimal weights of the *** Group-Based Cooperative Optimizer(DGCO)is employed to search for optimal weight for the base *** proposed model is compared with three based models and the average ensemble *** results show that the proposed model is better than other models and can predict antenna bandwidth efficiently.

关键词： Metamaterial antenna machine learning ensemble model multilayer perceptron support vector machines

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Optimized Weighted Ensemble Using Dipper Throated Optimization Algorithm in Metamaterial Antenna

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Computers, Materials & Continua 2022年第12期73卷 5771-5788页

作者： Doaa Sami Khafaga el-sayed M.el-kenawy Faten Khalid Karim Sameer Alshetewi Abdelhameed ibrahim Abdelaziz AAbdelhamid 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 Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt General Information Technology Department Ministry of DefenseThe Executive AffairsExcellence Services DirectorateRiyadh11564Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia

Metamaterial Antennas are a type of antenna that uses metamaterial to enhance *** bandwidth restriction associated with small antennas can be solved using metamaterial *** learning is gaining popularity as a way to improve solutions in a range of *** learning approaches are currently a big part of current research,and they’re likely to be huge in the *** model utilized determines the accuracy of the prediction in large *** goal of this paper is to develop an optimized ensemble model for forecasting the metamaterial antenna’s bandwidth and *** basic models employed in the developed ensemble are Support Vector Regression(SVR),K-NearestRegression(KNR),Multi-Layer Perceptron(MLP),Decision Trees(DT),and Random Forest(RF).The percentages of contribution of these models in the ensemble model are weighted and optimized using the dipper throated optimization(DTO)*** choose the best features from the dataset,the binary(bDTO)algorithm is *** proposed ensemble model is compared to the base models and results are recorded and analyzed *** addition,two other ensembles are incorporated in the conducted experiments for *** ensembles are average ensemble and K-nearest neighbors(KNN)-based *** comparison is performed in terms of eleven evaluation *** evaluation results confirmed the superiority of the proposed model when compared with the basic models and the other ensemble models.

关键词： Metamaterial antenna dipper throated optimization feature selection parameters prediction

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