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Chinese Chemical Letters 2015年第6期26卷 690-694页

作者： mohamed s.A.El-Gaby Jehan A.Micky Nadia M.saleh Yousry A.Ammar heba s.a.mohamed Chemistry Department Faculty of ScienceAl-Azhar University at Assiut Chemistry Department Faculty of Science (Girl’s)Al-Azhar University Chemistry Department Faculty of ScienceAl-Azhar University Photochemistry Department National Research CenterEl-DokkiGizaEgypt

2-Aminocyclopenta[d]pyrimidines 3a-c were achieved via a one-pot, three-component reactions of cyclopentanone 1, aromatic aldehyde and guanidine hydrochloride （1：2：1 molar ratio）. Also, cyclization of 2,5-bis-（arylmethylidene）cyclopentanones 2 with guanidine hydrochloride （1：1 molar ratio） in methanol in the presence of sodium methoxide afforded cyclopenta-[d]pyrimidines 3. Compound 3c has been shown to be a useful building block for the synthesis of some novel pyrimido[ 1,2-a]pyrimidines 5, 7 and 12. The structures of the newly synthesized compounds were confirmed on the basis of analytical and spectral data,

关键词： Multicomponent reaction Cyclopenta[d]pyrimidine Pyrimido[1 2-a]pyrimidine Cyclopentanone

Optimized Deep Learning Approach for Efficient Diabetic Retinopathy Classification Combining VGG16-CNN

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Computers, Materials & Continua 2023年第11期77卷 1855-1872页

作者： heba M.El-Hoseny heba F.Elsepae Wael A.mohamed Ayman s.selmy Department of Computer science the Higher Future Institute for Specialized Technological StudiesObour11828Egypt Department of Electrical Engineering Benha Faculty of EngineeringBenha UniversityBenha13511Egypt

Diabetic retinopathy is a critical eye condition that,if not treated,can lead to vision *** methods of diagnosing and treating the disease are time-consuming and ***,machine learning and deep transfer learning(DTL)techniques have shown promise in medical applications,including detecting,classifying,and segmenting diabetic *** advanced techniques offer higher accuracy and *** Diagnosis(CAD)is crucial in speeding up classification and providing accurate disease ***,these technological advancements hold great potential for improving the management of diabetic *** study’s objective was to differentiate between different classes of diabetes and verify the model’s capability to distinguish between these *** robustness of the model was evaluated using other metrics such as accuracy(ACC),precision(PRE),recall(REC),and area under the curve(AUC).In this particular study,the researchers utilized data cleansing techniques,transfer learning(TL),and convolutional neural network(CNN)methods to effectively identify and categorize the various diseases associated with diabetic retinopathy(DR).They employed the VGG-16CNN model,incorporating intelligent parameters that enhanced its *** outcomes surpassed the results obtained by the auto enhancement(AE)filter,which had an ACC of over 98%.The manuscript provides visual aids such as graphs,tables,and techniques and frameworks to enhance *** study highlights the significance of optimized deep TL in improving the metrics of the classification of the four separate classes of *** manuscript emphasizes the importance of using the VGG16CNN classification technique in this context.

关键词： No diabetic retinopathy(NDR) convolution layers(CNV layers) transfer learning data cleansing convolutional neural networks a visual geometry group(VGG16)

Genetic Variability and Phenotypic Correlations study among Grain Quality Traits and Mineral Elements Concentrations in Colored and Non-Colored Rice (Oryza sativa L.)

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Phyton-International Journal of Experimental Botany 2024年第7期93卷 1733-1748页

作者： Adel A.Rezk mohamed M.El-Malky heba I.mohamed Hossam s.El-Beltagi Agricultural Biotechnology Department College of Agricultural and Food ScienceKing Faisal UniversityAl-Ahsa31982Saudi Arabia Plant Pathology Research Institute Agriculture Research CenterGiza12619Egypt Rice Research and Training Center Field Crop Research InstituteAgriculture Research Center33717Egypt Biological and Geological sciences Department Faculty of EducationAin Shams UniversityCairo11511Egypt Biochemistry Department Faculty of AgricultureCairo UniversityGiza12613Egypt

Twenty-four rice genotypes were examined to assess genetic variability,heritability,and correlations for seven-grain quality traits,eight nutritional elements,and *** revealed signiﬁcant differences for the quality traits *** every trait under study,the phenotypic coefﬁcient of variation was higher than the correspon-dence genotypic coefﬁcient of *** in a broad sense varied from 29.75%for grain length to 98.31%for the elongation *** percentage recovery had a highly signiﬁcant positive correlation with milling and head rice ***,milling percentage had a highly positive correlation with head rice *** amylose percentage,all the genotypes belonged to low amylose except the Hassawi-1 variety,which had intermediate amylose *** nutrition contents of magnesium(Mg),sodium(Na),potas-sium(K),calcium(Ca),copper(Cu),manganese(Mn),zinc(Zn),iron(Fe),or protein percentage gave different variations for 24 rice genotypes under all the nutritional *** the 24 genotypes,ten rice genotypes–HighNutrient-1,HighNutrient-2,HighNutrient-9,HighNutrient-8,HighNutrient-3,Hassawi-2,HighNutrient-7,HighNutrient-6,Hassawi-1,and HighNutrient-4–had the highest heist value for all nutritional and protein con-tents,and could be used as a donor to improving new *** was a positive and signiﬁcant correlation between magnesium Mg,K,Zn and ***,K had a positive correlation with zinc Zn,Fe,and protein *** analysis was divided into two groups:theﬁrst group included all genotypes rich in nutri-ents,while the remaining genotypes with low nutritional content were included in the second group.

关键词： Amylose cluster analysis genotypes grain quality mineral nutrition rice

Hyperparameter Tuned Deep Learning Enabled Cyberbullying Classification in social Media

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Computers, Materials & Continua 2022年第12期73卷 5011-5024页

作者： Mesfer Al Duhayyim heba G.mohamed saud s.Alotaibi Hany Mahgoub Abdullah mohamed Abdelwahed Motwakel Abu sarwar Zamani mohamed I.Eldesouki Department of Computer science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Electrical Engineering College of EngineeringPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information systems College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer science College of Science&Art at MahayilKing Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computers and Information Computer Science DepartmentMenoufia UniversityEgypt Research Centre Future University in EgyptNew Cairo11845Egypt Department of Computer and self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of Information system College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl KharjSaudi Arabia

Cyberbullying(CB)is a challenging issue in social media and it becomes important to effectively identify the occurrence of *** recently developed deep learning(DL)models pave the way to design CB classifier models with maximum *** the same time,optimal hyperparameter tuning process plays a vital role to enhance overall *** study introduces a Teacher Learning Genetic Optimization with Deep Learning Enabled Cyberbullying Classification(TLGODL-CBC)model in social *** proposed TLGODL-CBC model intends to identify the existence and non-existence of CB in social media ***,the input data is cleaned and pre-processed to make it compatible for further *** by,independent recurrent autoencoder(IRAE)model is utilized for the recognition and classification of ***,the TLGO algorithm is used to optimally adjust the parameters related to the IRAE model and shows the novelty of the *** assuring the improved outcomes of the TLGODLCBC approach,a wide range of simulations are executed and the outcomes are investigated under several *** simulation outcomes make sure the improvements of the TLGODL-CBC model over recent approaches.

关键词： social media deep learning cyberbullying cybersecurity hyperparameter optimization

Feature selection with stacked Autoencoder Based Intrusion Detection in Drones Environment

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Computers, Materials & Continua 2022年第12期73卷 5441-5458页

作者： heba G.mohamed saud s.Alotaibi Majdy M.Eltahir heba Mohsen Manar Ahmed Hamza Abu sarwar Zamani Ishfaq Yaseen Abdelwahed Motwakel Department of Electrical Engineering College of EngineeringPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information systems College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Information systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer and self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia

The Internet of Drones(IoD)offers synchronized access to organized airspace for Unmanned Aerial Vehicles(known as drones).The availability of inexpensive sensors,processors,and wireless communication makes it possible in real time *** several applications comprise IoD in real time environment,significant interest has been received by research *** IoD operates in wireless environment,it is needed to design effective intrusion detection system(IDs)to resolve security issues in the IoD *** article introduces ametaheuristics feature selection with optimal stacked autoencoder based intrusion detection(MFsOsAEID)in the IoD *** major intention of the MFsOsAE-ID technique is to identify the occurrence of intrusions in the IoD *** do so,the proposed MFsOsAE-ID technique firstly pre-processes the input data into a compatible *** addition,the presented MFsOsAEID technique designs a moth flame optimization based feature selection(MFOFs)technique to elect appropriate ***,firefly algorithm(FFA)with stacked autoencoder(sAE)model is employed for the recognition and classification of intrusions in which the sAE parameters are optimally tuned with utilize of *** performance validation of the MFsOsAE-ID model was tested utilizing benchmark dataset and the outcomes implied the promising performance of the MFsOsAE-ID model over other techniques with maximum accuracy of 99.72%.

关键词： Internet of drones unmanned aerial vehicles security intrusion detection machine learning

Evaluation of implanted perforated lacrimal punctal plugs using anterior segment optical coherence tomography

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Eye and Vision 2021年第1期8卷 366-373页

作者： Raafat Mohyeldeen Abdelrahman Abdallah Ahmed mohamed Kamal Elshafei heba Radi AttaAllah Ophthalmology Department Minia UniversityEl‑MiniaEgypt Ophthalmology Department Minia University HospitalEl‑MiniaEgypt

Purpose:Evaluation of the patency and position of perforated lacrimal punctal plugs implanted for treating punctal stenosis together with quantitative assessment of the precorneal tear film using anterior segment optical coherence tomography(As-OCT).Methods:In a prospective study,the lower punctum of 54 eyes of 29 patients implanted with perforated punctal plugs were examined using As-OCT during the early postoperative *** tear meniscus height(TMH)and tear meniscus area(TMA)were ***,the patency of the plug,its position,TMH and TMA were evaluated,and the results were correlated with postoperative *** scale was used for epiphora ***:Using As-OCT,48(88.9%)plugs were found in proper position while 6(11.1%)were *** lumen of the plugs was completely patent in 47(87%)plugs,partially obstructed in 2(3.7%)plugs and completely occluded in 5(9.2%)*** was a statistically significant postoperative decrease of TMH and TMA(Pstoperative epiphora Munk score(Psion:As-OCT is a valuable,reliable,and noninvasive investigative tool that can detect the proper positioning,patency,and contents of the implanted perforated lacrimal punctal plugs in addition to measurement of TMH and TMA.

关键词： As-OCT Perforated plugs Plugs

Metabolites Composition of Bacillus subtilis HussainT-AMU Determined by LC-Ms and Their Effect on Fusarium Dry Rot of Potato seed Tuber

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Phyton-International Journal of Experimental Botany 2023年第3期92卷 783-799页

作者： Touseef Hussain Abrar A.Khan heba I.mohamed Plant Pathology and Nematology section Department of BotanyAligarh Muslim UniversityAligarhIndia Biological and Geological sciences Department Faculty of EducationAin Shams UniversityCairoEgypt

Fusarium dry rot is considered to be the most critical soilborne and postharvest disease that damages potato tubers worldwide when they are stored for a long *** study was performed to demonstrate the effect of crude extract,culture filtrate,and cell suspension obtained from the bacterium Bacillus subtilis Hussain T-AMU,on the net house and *** oil-contaminated soil,through the serial dilution method,biosurfactant bacteria were isolated on nutrient agar *** isolate and screen the prospective biosurfactant strain,various biosurfactant screening methods were *** protocols were carried out for morphological,molecular,and chemical *** disease incidences were significantly decreased under net house and field conditions after treatment with biosurfactant extract(20%,70%),culture filtrate(23%,49%),and bacterial cell suspension(46%,27%),*** results indicate a significant effect of *** HussainT-AMU against Fusarium *** characterization of the partially purified extract by gas-chromatography indicated the existence of a high amount of methyl ester fatty *** quantitative analysis determined the presence of lipopeptide-surfactin,fengycin,and iturin in the biosurfactant *** electron microscopy revealed that morphological variation was revealed in the structure of stomata size in leaves and in the mycelia of the pathogen that was *** promising biocontrol agent can be a plausible option for further research and can also be used for the production of green biomolecules at an additional industrial level.

关键词： Biosurfactant biocontrol agents disease severity lipopeptide stomata

Anion gap as bio-diagnostic index in prediction of dystocia, retained placenta and delayed uterine involution of Baladi goat (Field study)

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Asian pacific Journal of Reproduction 2017年第5期6卷 231-237页

作者： mohamed El-Raey heba M El-Khaiat Department of Theriogenology Faculty of Veterinary MedicineBenha UniversityP.O:13736TokhKaliobiaEgypt Department of Animal Medicine Faculty of Veterinary MedicineBenha UniversityP.O:13736TokhKaliobiaEgypt

Objective:To assess the anion gap (AG) validity in prediction the goat's fertility before ***: This study was carried out on two groups (20/20, aged 4–6 years and weighted 30–43 kg) of pluriparous pregnant Baladi goats. Animals were subjected to clinical examination, blood sampling to assess serum biochemical parameters in correlation with utrasonographic assessment of uterine horn involution (UTI) and placental dropping time after kidding. Unpaired studentt–test was used to detect the significance of differences (Ps used to study the relationships among the different assessed parameters, analysis (r) was assigned atPsing the same statistics ***:Results revealed that there were highly significant differences (Ps concerning Cl–, K+, Na+, P, Mg2+, Total/Ca2+, albumin, glucose and AG. Goats suffered from dystocia having high levels of HCO3–, cortisol and lactate. Additionally, there were significant differences (Ps regarding the process of UTI starting from 3rd to 10th wk after parturition. Furthermore, there was a highly significant difference (Ps concerning their placental dropping time;where, distressed/abnormally parturated goat having the longest time. Furthermore, there were highly strong correlation coefficient between Mg2+, K+, Na+, HCO3–, glucose, albumin, AG and corrected AG concentrations during goat's prepartum period and UTI, placental dropping ***:Reporting serum bio-chemical changes and AG during goat's prepartum period could be used as diagnostic tool to judge the normality of parturition process, placental dropping, UTI and genital health, in other word, could be used as predictor for goat's fertility prior to parturition.

关键词： Goats Fertility Anion gap Uterus Placenta

Binary Oriented Feature selection for Valid Product Derivation in software Product Line

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Computers, Materials & Continua 2023年第9期76卷 3653-3670页

作者： Muhammad Fezan Afzal Imran Khan Javed Rashid Mubbashar saddique heba G.mohamed Department of Cs&sE International Islamic UniversityIslamabad44000Pakistan Information Technology services University of OkaraOkara56300Pakistan Departmet of Computer science MLC LabOkara56300Pakistan Department of Computer science&Engineering University of Engineering&Technology LahoreNarowal CampusNarowal51601Pakistan Department of Electrical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

software Product Line(sPL)is a group of software-intensive systems that share common and variable resources for developing a particular *** feature model is a tree-type structure used to manage sPL’s common and variable features with their different relations and problem of Crosstree Constraints(CTC).CTC problems exist in groups of common and variable features among the sub-tree of feature models more diverse in Internet of Things(IoT)devices because different Internet devices and protocols are ***,managing the CTC problem to achieve valid product configuration in IoT-based sPL is more complex,time-consuming,and ***,the CTC problem needs to be considered in previously proposed approaches such as Commonality VariabilityModeling of Features(COVAMOF)andGenarch+tool;therefore,invalid products are *** research has proposed a novel approach Binary Oriented Feature selection Crosstree Constraints(BOFs-CTC),to find all possible valid products by selecting the features according to cardinality constraints and cross-tree constraint problems in the featuremodel of ***-CTC removes the invalid products at the early stage of feature selection for the product ***,this research developed the BOFs-CTC algorithm and applied it to,IoT-based feature *** findings of this research are that no relationship constraints and CTC violations occur and drive the valid feature product configurations for the application development by removing the invalid product *** accuracy of BOFs-CTC is measured by the integration sampling technique,where different valid product configurations are compared with the product configurations derived by BOFs-CTC and found 100%*** BOFs-CTC eliminates the testing cost and development effort of invalid sPL products.

关键词： software product line feature model internet of things crosstree constraints variability management

Micro-fabrication of ceramics:Additive manufacturing and conventional technologies

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Journal of Advanced Ceramics 2021年第1期10卷 1-27页

作者： Hany HAssANIN Khamis EssA Amr ELsHAER mohamed IMBABY heba H.EL-MONGY Tamer A.EL-sAYED school of Engineering Canterbury Christ Church UniversityCanterburyCT11QUUK University of Birmingham EdgbastonB152TTUK Kingston University London Penrhyn RoadKingston Upon ThamesSurreyKT12EEUK Department of Mechanical Design Faculty of EngineeringMatariaHelwan UniversityP.O.Box.11718CairoEgypt Jubail University College Mechanical EngineeringKingdom of Saudi Arabia Center for Applied Dynamics Research(CADR) School of EngineeringUniversity of AberdeenAberdeenAB243UEUK

Ceramic materials are increasingly used in micro-electro-mechanical systems(MEMs)as they offer many advantages such as high-temperature resistance,high wear resistance,low density,and favourable mechanical and chemical properties at elevated ***,with the emerging of additive manufacturing,the use of ceramics for functional and structural MEMs raises new opportunities and *** paper provides an extensive review of the manufacturing processes used for ceramic-based MEMs,including additive and conventional manufacturing *** review covers the micro-fabrication techniques of ceramics with the focus on their operating principles,main features,and processed *** that need to be addressed in applying additive technologies in MEMs include ceramic printing on wafers,post-processing at the micro-level,resolution,and quality *** paper also sheds light on the new possibilities of ceramic additive micro-fabrication and their potential applications,which indicates a promising future.

关键词： micro-electro-mechanical system(MEMs) micro-fabrication ceramics micro parts additive manufacturing