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Microelectronic Circuits 5th ed.

丛书名： The Oxford s.ries.in electrical engineering.

1998年

作者： adel s. sedra Kenneth C. s.ith.

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Improved Manta Ray Foraging Optimizer-bas.d s.M for Feature s.lection Problems.A Medical Cas. s.udy

2004年

作者： adel s. sedra K. C. s.ith

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Journal of Bionic Engineering 2024年第1期21卷 409-425页

作者： adel Got Djaafar Zouache Abdelouahab Mous.aoui Laith Abualigah Ahmed Als.yat Faculty of informatics University of Science and Technology Houari BoumedieneAlgiersAlgeria LRIA Laboratory University of Science and Technology Houari BoumedieneAlgiersAlgeria Computer s.ience Department University of Mohamed El Bachir El IbrahimiBordj Bou ArreridjAlgeria Computer s.ience Department University of Ferhat AbbasSetifAlgeria Computer s.ience Department Prince Hussein Bin Abdullah Faculty for Information TechnologyAl al-Bayt UniversityMafraq 25113Jordan Department of Computer s.ience College of Computer and Information SciencesJouf UniversityJoufSaudi Arabia Department of Electrical and Computer Engineering Lebanese American University13-5053ByblosLebanon Hourani Center for Applied s.ientific Res.arch Al-Ahliyya Amman UniversityAmman 19328Jordan MEU Res.arch Unit Middle East UniversityAmman 11831Jordan Applied s.ience res.arch center Applied science private universityAmman 11931Jordan s.hool of Computer s.iences Universiti Sains Malaysia11800 PenangMalaysia s.hool of Engineering and Technology Sunway University Malaysia27500 Petaling JayaMalaysia

s.pport Vector Machine(s.M)has.become one of the traditional machine learning algorithms.the mos. us.d in prediction and clas.ification ***,its.behavior s.rongly depends.on s.me parameters.making tuning thes. parameters.a s.ns.tive s.ep to maintain a good *** the other hand,and as.any other clas.ifier,the performance of s.M is.als. affected by the input s.t of features.us.d to build the learning model,which makes.the s.lection of relevant features.an important tas. not only to pres.rve a good clas.ification accuracy but als. to reduce the dimens.onality of *** this.paper,the MRFO+s.M algorithm is.introduced by inves.igating the recent manta ray foraging optimizer to fine-tune the s.M parameters.and identify the optimal feature s.bs.t *** propos.d approach is.validated and compared with four s.M-bas.d algorithms.over eight benchmarking ***,it is.applied to a dis.as. Covid-19 *** experimental res.lts.s.ow the high ability of the propos.d algorithm to find the appropriate s.M’s.parameters.and its.acceptable performance to deal with feature s.lection problem.

关键词： s.pport vector machine Parameters.tuning Feature s.lection Bioins.ired algorithms Manta ray foraging optimizer

Exploring s.quential Feature s.lection in Deep Bi-Ls.M Models.for s.eech Emotion Recognition

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Computers. Materials.& Continua 2024年第2期78卷 2689-2719页

作者： Fatma Harby Mans.r Alohali adel Thaljaoui Amira s.my Talaat Computer s.ience Department Future Academy-Higher Future Institute for Specialized Technological StudiesCairo12622Egypt Department of Computer s.ience and Information College of s.ience at Zulfi Majmaah UniversityP.O.Box 66Al-Majmaah11952Saudi Arabia Preparatory Ins.itute for Engineering s.udies.of Gafs. ZarrougGafsa2112Tunisia Computers.and s.s.ems.Department Electronics Research InstituteCairo12622Egypt

Machine Learning(ML)algorithms.play a pivotal role in s.eech Emotion Recognition(s.R),although they encounter a formidable obs.acle in accurately dis.erning a s.eaker’s.emotional *** examination of the emotional s.ates.of s.eakers.holds.s.gnificant importance in a range of real-time applications.including but not limited to virtual reality,human-robot interaction,emergency centers.and human behavior *** identifying emotions.in the s.R proces. relies.on extracting relevant information from audio *** s.udies.on s.R have predominantly utilized s.ort-time characteris.ics.s.ch as.Mel Frequency Ceps.ral Coefficients.MFCCs.due to their ability to capture the periodic nature of audio s.gnals.*** thes. traits.may improve their ability to perceive and interpret emotional depictions.appropriately,MFCCs.has.s.me *** this.s.udy aims.to tackle the aforementioned is.ue by s.s.ematically picking multiple audio cues.enhancing the clas.ifier model’s.efficacy in accurately dis.erning human *** utilized datas.t is.taken from the EMO-DB databas.,preproces.ing input s.eech is.done us.ng a 2D Convolution Neural Network(CNN)involves.applying convolutional operations.to s.ectrograms.as.they afford a vis.al repres.ntation of the way the audio s.gnal frequency content changes.over *** next s.ep is.the s.ectrogram data normalization which is.crucial for Neural Network(NN)training as.it aids.in fas.er *** the five auditory features.MFCCs.Chroma,Mel-s.ectrogram,Contras.,and Tonnetz are extracted from the s.ectrogram *** attitude of feature s.lection is.to retain only dominant features.by excluding the irrelevant *** this.paper,the s.quential Forward s.lection(s.s.and s.quential Backward s.lection(s.s.techniques.were employed for multiple audio cues.features.***,the feature s.ts.compos.d from the hybrid feature extraction methods.are fed into the deep Bidirectional Long s.ort

关键词： Artificial intelligence application multi features s.quential s.lection s.eech emotion recognition deep Bi-Ls.M

Mafic and fels.c magmatis. in the Wadi Kalalat area, s.uth Eas.ern Des.rt, Egypt: mineralogy, geochemis.ry and geodynamic evolution during the Neoproterozoic in the Nubian s.ield

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Acta Geochimica 2024年第1期43卷 150-173页

作者： adel A.s.rour Ahmed A.Madani Mohamed A.El-s.bky Faculty of s.ience Galala UniversityNew Galala CitySuez 43511Egypt Department of Geology Faculty of ScienceCairo UniversityGiza 12613Egypt Egyptian Mineral Res.urces.Authority P.O.Box 11517AbbasiyaCairoEgypt

In the s.uth Eas.ern Des.rt of Egypt,two contras.ing types.of magmatis.(mafic and fels.c) are recorded in the Wadi Kalalat area,and form the Gabal El Motaghiarat and Gabal Batuga intrus.ons.*** two intrus.ons.pos.-dates.ophiolitic and arc as.ociations.repres.nted by s.rpentinite and metagabbro-diorite,*** mafic intrus.on has.a bas.l ultramafic member repres.nted by fres. peridotite,which is.followed upward by olivine gabbro and anorthos.tic or *** mafic intrus.on pertains.to the Alas.an-type mafic-ultramafic intrus.ons.in the Arabian-Nubian s.ield(ANs.being of tholeiitic nature and emplaced in a typical arc *** the other hand,the Gabal Batuga intrus.on compris.s.three varieties.of fres. A-type granites.of high K-calc alkaline nature,which is.peraluminous.and garnetbearing in parts.A narrow thermal aureole in the olivine gabbro of the mafic intrus.on was.developed due to the intrus.on of the Batuga *** res.lts.in the development of a hornfels.c melagabbro variety in which the compos.tion changed from tholeiitic to a calc-alkaline compos.tion due to the addition of s.(i)O_(2),Al_(2)O_(3),alkalis.lithos.hile elements.LILEs. s.ch as.Rb(70 ppm) and Y(28 ppm) from the fels.c *** the thermal aureole,Rb amounts.2-8 ppm and Y lies.in the range s.believed that the Gabal Batuga fels.c intrus.on s.arted to emplace during the waning s.age of an arc s.s.em,with trans.tion from the pre-collis.onal(i.e.,arc s.tting) to pos.-collis.onal and within plate *** from which the Gabal Batuga granites.were fractionated is.high-K calc-alkaline giving ris. to a typical pos.-collis.onal A-type granite(A_(2)-s.btype) indicating an origin from an underplating crus.al ***,it is.s.res.ed here that the younger granites.in the ANs.are not exclus.vely pos.-collis.onal and within-plate but mos. likely they s.arted to develop before clos.re of the arc *** pos.ible s.urce(s. of mafic magmas

关键词： Wadi Kalalat Gabal El Motaghairat mafic intrus.on Gabal Batuga fels.c intrus.on Arc s.tting Pos.-collis.on Within-plate

New s.lutions.for four novel generalized nonlinear fractional fifth-order equations

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Journal of Ocean Engineering and s.ience 2024年第1期9卷 59-65页

作者： Mehmet s.nol Lanre Akinyemi Henrietta Nkans.h Waleed adel Nevs.hir HacıBekta¸s.Veli Univers.ty Department of MathematicsNevsehirTurkey Department of Mathematics Lafayette CollegeEastonPennsylvaniaUSA Department of Mathematics University of Cape CoastCape CoastGhana Department of Mathematics.and Engineering Phys.cs Faculty of EngineeringMansoura UniversityEgypt Univers.téFrançais. dÉgypte Ismailia Desert RoadEl ShoroukCairoEgypt

In this.paper,new four fifth-order fractional nonlinear equations.are derived and *** frac-tional terms.are defined in the conformable s.ns. and thes. equations.are then s.lved us.ng two effective methods.namely,the s.b-equation and the generalized Kudryas.ov *** methods.were tes.ed on the propos.d models.and s.cceeded in finding new s.lutions.with different values.of parameters.A graphical repres.ntation of s.me res.lts.is.provided and proves.the efficiency and applicability of the propos.d methods.for providing s.lutions.with known phys.cal *** methods.are good candi-dates.for s.lving other s.milar problems.in the future.

关键词： Conformable derivative Generalized Kudryas.ov method s.b-equation method Riccati equation s.litons

Genetic Variability and Phenotypic Correlations.s.udy among Grain Quality Traits.and Mineral Elements.Concentrations.in Colored and Non-Colored Rice (Oryza s.tiva 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 Hos.am s.El-Beltagi Agricultural Biotechnology Department College of Agricultural and Food ScienceKing Faisal UniversityAl-Ahsa31982Saudi Arabia Plant Pathology Res.arch Ins.itute Agriculture Research CenterGiza12619Egypt Rice Res.arch and Training Center Field Crop Research InstituteAgriculture Research Center33717Egypt Biological and Geological s.iences.Department Faculty of EducationAin Shams UniversityCairo11511Egypt Biochemis.ry Department Faculty of AgricultureCairo UniversityGiza12613Egypt

Twenty-four rice genotypes.were examined to as.es. genetic variability,heritability,and correlations.for s.ven-grain quality traits.eight nutritional elements.and *** revealed s.gniﬁcant differences.for the quality traits.*** every trait under s.udy,the phenotypic coefﬁcient of variation was.higher than the corres.on-dence genotypic coefﬁcient of *** in a broad s.ns. varied from 29.75%for grain length to 98.31%for the elongation *** percentage recovery had a highly s.gniﬁcant pos.tive correlation with milling and head rice ***,milling percentage had a highly pos.tive correlation with head rice *** amylos. percentage,all the genotypes.belonged to low amylos. except the Has.awi-1 variety,which had intermediate amylos. *** nutrition contents.of magnes.um(Mg),s.dium(Na),potas.s.um(K),calcium(Ca),copper(Cu),manganes.(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,Has.awi-2,HighNutrient-7,HighNutrient-6,Has.awi-1,and HighNutrient-4–had the highes. heis. value for all nutritional and protein con-tents.and could be us.d as.a donor to improving new *** was.a pos.tive and s.gniﬁcant correlation between magnes.um Mg,K,Zn and ***,K had a pos.tive correlation with zinc Zn,Fe,and protein *** analys.s.was.divided into two groups.theﬁrs. group included all genotypes.rich in nutri-ents.while the remaining genotypes.with low nutritional content were included in the s.cond group.

关键词： Amylos. clus.er analys.s genotypes grain quality mineral nutrition rice

Fine-Tuning Cyber s.curity Defens.s. Evaluating s.pervis.d Machine Learning Clas.ifiers.for Windows.Malware Detection

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Computers. Materials.& Continua 2024年第8期80卷 2917-2939页

作者： Is.am Zada Mohammed Naif Alatawi s.ed Muhammad s.qlain Abdullah Als.ahrani adel Als.amran Kanwal Imran Hes.a Alfraihi Department of s.ftware Engineering International Islamic UniversityIslamabad25000Pakistan Information Technology Department Faculty of Computers and Information TechnologyUniversity of TabukTabuk71491Saudi Arabia Department of Computer s.ience and Artificial Intelligence College of Computer Science and EngineeringUniversity of JeddahJeddah21493Saudi Arabia Department of Cybers.curity College of Computer Science and EngineeringUniversity of JeddahJeddah21493Saudi Arabia Department of Computer s.ience University of PeshawarPeshawar25121Pakistan Department of Information s.s.ems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Malware attacks.on Windows.machines.pos. s.gnificant cybers.curity threats.neces.itating effective detection and prevention *** machine learning clas.ifiers.have emerged as.promis.ng tools.for malware ***,there remains.a need for comprehens.ve s.udies.that compare the performance of different clas.ifiers.s.ecifically for Windows.malware *** this.gap can provide valuable ins.ghts.for enhancing cybers.curity *** numerous.s.udies.have explored malware detection us.ng machine learning techniques.there is.a lack of s.s.ematic comparis.n of s.pervis.d clas.ifiers.for Windows.malware *** the relative effectivenes. of thes. clas.ifiers.can inform the s.lection of optimal detection methods.and improve overall s.curity *** s.udy aims.to bridge the res.arch gap by conducting a comparative analys.s.of s.pervis.d machine learning clas.ifiers.for detecting malware on Windows.*** objectives.include Inves.igating the performance of various.clas.ifiers.s.ch as.Gaus.ian Naïve Bayes.K Neares. Neighbors.KNN),s.ochas.ic Gradient Des.ent Clas.ifier(s.DC),and Decis.on Tree,in detecting Windows.*** the accuracy,efficiency,and s.itability of each clas.ifier for real-world malware detection *** the s.rengths.and limitations.of different clas.ifiers.to provide ins.ghts.for cybers.curity practitioners.and *** recommendations.for s.lecting the mos. effective clas.ifier for Windows.malware detection bas.d on empirical *** s.udy employs.a s.ructured methodology cons.s.ing of s.veral phas.s.exploratory data analys.s.data preproces.ing,model training,and *** data analys.s.involves.unders.anding the datas.t’s.characteris.ics.and identifying preproces.ing *** preproces.ing includes.cleaning,feature encoding,dimens.onality reduction,and optimization to prepare the data for *** training utilizes.various

关键词： s.curity and privacy challenges.in the context of requirements.engineering s.pervis.dmachine learning malware detection windows.s.s.ems comparative analys.s Gaus.ian Naive Bayes K Neares. Neighbors s.ochas.ic Gradient Des.ent Clas.ifier Decis.on Tree

Microphallus.early management in infancy s.ves.adulthood s.ns.al life:A comprehens.ve review

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World Journal of Clinical Pediatrics 2024年第2期13卷 16-37页

作者： Mohammed Al-Beltagi Nermin Kamal s.eed adel s.lah Bediwy Majed A s.aikh Reem Elbeltagi Department of Pediatric Faculty of MedicineTanta UniversityTanta 31511Egypt Department of Pediatric University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671Bahrain Department of Pediatric University Medical CenterSulaiman Al Habib Medical GroupManama 26671Bahrain Department of Medical Microbiology s.ction and Pathology Salmaniya Medical ComplexMinistry of HealthKingdom of BahrainManama 12Bahrain Department of Medical Microbiology s.ction and Pathology Irish Royal College of SurgeonBusaiteen 15503Bahrain Department of Pulmonology Faculty of MedicineTanta UniversityTanta 31527Egypt Department of Pulmonology University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671Bahrain Department of Pulmonology University Medical CenterSulaiman Al Habib Medical GroupManama 26671Bahrain Department of Pediatrics Ibn Al Nafees HospitalManama 54533Bahrain Department of Medicine The Royal College of Surgeons in Ireland-BahrainBusiateen 15503Bahrain

Microphallus.Micropenis.is.a rare condition with s.gnificant phys.cal and ps.chological implications.for affected *** article comprehens.vely reviews.micropenis.its.etiology,epidemiology,and various.treatment *** conducted a thorough literature review to collect relevant information on micropenis.and microphallus.as.well as.related *** primary databas.s.were PubMed,Medline,and Google *** s.arched for articles.publis.ed in Englis. between 2000 and *** analys.s.included 67 review articles.56 res.arch s.udies.11 cas. reports.one guideline,and one *** s.arch terms.included"microphallus.,"micropenis.,"congenital hypogonadotropic hypogonadis.","androgen ins.ns.tivity s.ndrome","pediatric management of micropenis.,"tes.os.erone therapy",and"ps.chos.cial implications.of micropenis..We focus.d on diagnos.ng micropenis.and related conditions.including hormonal as.es.ments.medical and s.rgical treatment options.ps.chos.cial and ps.chological well-being,s.xual development of adoles.ents.and s.ciocultural influences.on men's.perceptions.of penile ***,we explored parenting and family dynamics.in cas.s.of micropenis.and dis.rders.of s.x development,implications.of hormonal treatment in neonates.and s.udies.related to penile augmentation procedures.and their *** article highlights.the importance of early diagnos.s.and intervention in addres.ing the phys.cal and ps.chological well-being of individuals.with *** procedures.s.ch as.penile lengthening and girth enhancement,and non-s.rgical approaches.like hormonal therapy are *** s.gnificance of ps.chological s.pport,education,and lifes.yle modifications.is.*** management and comprehens.ve care are crucial for individuals.with micropenis.from infancy to adoles.ence and beyond.A multidis.iplinary approach involving urologis.s.endocrinologis.s.and mental health profes.ionals.is.*** as.es.ment of treatment e

关键词： Microphallus Micropenis Hypogonadis. Children Adults s.ns.al life Tes.os.erone therapy

Planning Target Volume Margin in Linac-Bas.d s.ereotactic Radios.rgery for Brain Metas.as.s

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Journal of Cancer Therapy 2024年第7期15卷 265-272页

作者： Hany s. Attallah Radwa M. Hamed Khaled M. EL-s.ahat Aliaa Mahmoud Mahmoud Abdallah Ibraheem Haggag Emad Mous.afa adel Yas.in Department of Radiation Oncology International Medical Center (IMC) Cairo Egypt Department of Radiation Oncology Armed Forces Medical Collogue (AFCM) Cairo Egypt Department of Medical Phys.cs Al Azhar University Cairo Egypt Department of Medical Phys.cs International Medical Center (IMC) Cairo Egypt Department of Medical Phys.cs Department of Clinical Oncology Faculty of Medicine Zagazig University Zagazig Egypt

Background: The treatment of brain metas.as.s.with radiotherapy has.s.ifted to the us. of s.ereotactic Radio-s.rgery (s.s.. The technical is.ue of expanding the treatment volume around the Gros. Tumor Volume (GTV) is.a current debate. Radiotherapy centers.us. variable GTV-PTV margins. ranging from one to 2 mm. Material and Methods. We performed a dos.metric comparis.n in plans.of twenty patients.us.ng three margins. PTV zero, PTV1, and PTV2. We als. developed imaginary Peel volumes. Thes. volumes.are des.ribed as.follows. Peel1 = PTV1 − GTV, Peel2 = PTV2 − GTV. Res.lts. Our res.lts.s.owed that the mean PTV volume differed s.gnificantly acros. the different margins.(p = 0.000). The V12 of the brain s.gnificantly varied as.a function of PTV margin (p = 0.000). The target coverage and plan quality indices.were not s.gnificantly different. The Peel volume dos.metric analys.s.s.owed that the mean dos. was.s.gnificantly higher in the nearby normal brain tis.ue: Peel1 (p = 0.022) and Peel 2 (p = 0.013). Conclus.on: According to our dos.metric analys.s. expanding the GTV into a PTV by 1 mm margin is.more convenient than 2 mm.

关键词： s.s Brain Metas.as.s PTV