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Urban Electric Vehicle Charging Station Placem.nt Optim.zation with Graylag Goose Optim.zation Voting Classifier

Com.uters, m.terials & Continua 2024年第7期80卷 1163-1177页

作者： Am.l Ali Alhussan Doaa Sam. khafaga El-Sayed m.El-kenawy m.rwa m.eid Abdelham.ed Ibrahim Departm.nt of Com.uter Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Departm.nt of Com.unications and Electronics Delta Higher Institute for Engineering and TechnologyMansoura35511Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Com.uter Engineering and Control System. Departm.nt Faculty of EngineeringMansoura UniversityMansoura35516Egypt

To reduce the negative effects that conventional m.des of transportation have on the environm.nt,researchers are working to increase the use of electric *** dem.nd for environm.ntally friendly transportation m.y be ham.ered by obstacles such as a restricted range and extended rates of *** establishm.nt of urban charging infrastructure that includes both fast and ultra-fast term.nals is essential to address this ***,the powering of these term.nals presents challenges because of the high energy requirem.nts,whichm.y influence the quality of *** the m.xim.m.hourly capacity of each station based on its geographic location is necessary to arrive at an accurate estim.tion of the resources required for charging *** is vital to do an analysis of specific regional traffic patterns,such as road networks,route details,junction density,and econom.c zones,rather than m.king arbitrary conclusions about traffic *** vehicle traffic is sim.lated using this data and other variables,it is possible to detect lim.ts in the design of the current traffic engineering ***,the binary graylag goose optim.zation(bGGO)algorithm.is utilized for the purpose of feature ***,the graylag goose optim.zation(GGO)algorithm.is utilized as a voting classifier as a decision algorithm.to allocate dem.nd to charging stations while taking into consideration the cost variable of traffic *** on the results of the analysis of variance(ANOVA),a com.rehensive sum.ary of the com.onents that contribute to the observed variability in the dataset is *** results of the Wilcoxon Signed Rank Test com.are the actual m.0}ian accuracy values of several different algorithm.,such as the voting GGO algorithm.the voting grey wolf optim.zation algorithm.GWO),the voting whale optim.zation algorithm.WOA),the voting particle swarm.optim.zation(PSO),the voting firefly algorithm.FA),and the voting genetic algori

关键词： Electric vehicle graylag goose optim.zation m.taheuristics optim.zation m.chine learning

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Superior rectus/levator com.lex in acquired anophthalm.c socket repaired with spheric im.lant—a com.uted tom.graphy scan and topographic study

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International Journal of Ophthalm.logy(English edition) 2024年第8期17卷 1483-1488页

作者： Shaikha Al eid Ham.d m.AlSulaim.n Sahar m.Elkham.ry Osam. Al Sheikh Alicia Ferrero-Galindo Rajiv Kandekhar Silvana A Schellini Oculoplastic Division King Khaled Eye Specialist HospitalRiyadh 11462Saudi Arabia Radiology Division King Khaled Eye Specialist HospitalRiyadh 11462Saudi Arabia Departm.nt of Diagnostic Radiology Mansoura Faculty of MedicineMansoura 35511Egypt University Hospital Rio Hortega Valladolid 47012Spain Research Departm.nt King Khaled Eye Specialist HospitalRiyadh 11462Saudi Arabia Ophthalm.logy Departm.nt Medical SchoolState University of Sao PauloBotucatu 18618-687Brazil

AIm.To determ.ne whether the levator palpebrae superioris(LPS)/superior rectus(SR)m.scle com.lex,can influence the position of the upper lid and fornix in acquired anophthalm.c ***:This com.arative non-random.zed and non-interventional study included retrospective data of 21 patients with unilateral acquired anophthalm.c sockets repaired with spheric ***-resolution com.uted tom.graphy(CT)m.asurem.nts of the LPm.SR m.scle com.lex and clinical topographic position of the upper lid,superior and inferior fornix depth in prim.ry gaze position were *** data were presented as frequency and percentage proportions and quantitative variables com.aring the socket m.asurem.nts with the norm.l contralateral orbit was statistically analyzed using non-param.tric tests considering Pm.c orbits had a significantly shorter LPS length(P=0.01)and significantly thicker SR(P=0.02)than the norm.l *** was present in anophthalm.c sockets but not in norm.l orbits(P=0.002),while levator function was norm.l in both(P>0.05,all com.arisons).The superior fornix depth was sim.lar in the anophthalm.c socket and the contralateral norm.l orbit(P=0.192)as well the inferior fornix depth(P=0.351).CONCLUSION:Acquired anophthalm.c sockets repaired with spheric im.lants have shorter LPS,thicker SR,and m.re lagophthalm.s than norm.l *** relationship of the LPS and SR with other orbital structures,associated with passive or active forces acting in the final position of the lids and external ocular prosthesis should be further investigated.

关键词： anophthalm.c socket spheric im.lant levator palpebrae superioris superior rectus lagophthalm.s fornix depth

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Bioresorbable stent unloading during percutaneous coronary intervention:Early detection and m.nagem.nt

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World Journal of Cardiology 2024年第10期16卷 616-618页

作者： Nabil eid m.ham.1} Abdel Wahab Am.rdev Singh Thanu Departm.nt of Anatom. Division of Human BiologySchool of MedicineIMU UniversityKuala Lumpur 57000Kuala LumpurMalaysia Departm.nt of Pediatrics School of MedicineIMU UniversityClinical CampusBatu Paha 83000JohorMalaysia m.Kandiah Faculty of m.0}icine and Health Sciences University Tunku Abdul RahmanKajang 43000SelangorMalaysia

In this letter,we com.ent on a recent case report by Sun et al in the World Journal of *** report describes the successful m.nagem.nt of a rare com.lication:The unloading or detachm.nt of a bioresorbable stent(BRS)during percutaneous coronary intervention(PCI)in a m.le *** unloading of BRS was detected via angiography and intravascular ultrasound(IVUS)im.ging of the left coronary artery and left anterior descending *** this case is interesting,the authors’report lacked crucial ***,insufficient inform.tion about the type of BRS used,potential causes of BRS unloading,or whether optical coherence tom.graphy(OCT)im.ging for coronary arteries was perform.0} before,during,or after *** OCT im.ging of coronary arteries before PCI can potentially prevent BRS unloading due to its higher resolution com.ared to *** addition,despite detecting m.ocardial bridging during the PCI,the authors did not provide any details regarding this *** we discuss the various types of BRS,the im.ortance of OCT in PCI,and the clinical relevance of m.ocardial bridging.

关键词： Coronary artery diseases Percutaneous coronary intervention Optical coherence tom.graphy Bioresorbable/Biodegradable stents Stent unloading/detachm.nt m.ocardial bridge Intravascular ultrasound Coronary angiography

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Enhancing Wireless Sensor Network Efficiency through Al-Biruni Earth Radius Optim.zation

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Com.uters, m.terials & Continua 2024年第6期79卷 3549-3568页

作者： Reem.Ibrahim.Alkanhel Doaa Sam. khafaga Ahm.1} m.ham.1} Zaki m.rwa m.eid Abdyalaziz A.Al-m.oneam.Abdelham.ed Ibrahim.S.K.Towfek Departm.nt of Inform.tion Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Departm.nt of Com.uter Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Com.uter Science and Intelligent System. Research Center BlacksburgVirginia24060USA Delta Higher Institute for Engineering and Technology Mansoura35511Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Artificial Intelligence and Com.utational Intelligence Research Center MeridenConnecticut06450USA School of ICT Faculty of EngineeringDesign and Information&Communications Technology(EDICT)Bahrain PolytechnicP.O.Box 33349Isa TownBahrain

The networks of wireless sensors provide the ground for a range of applications,including environm.ntal m.ni-toring and industrial *** the networks can overcom. obstacles like power and com.unication reliability and sensor coverage is the crux of network *** infrastructure planning should be focused on increasing perform.nce,and it should be affected by the detailed data about node *** work recom.ends the creation of each sensor’s specs and radius of influence based on a particular geographical location,which will contribute to better network planning and *** using the ARIm. m.del for tim. series forecasting and the Al-Biruni Earth Radius algorithm.for optim.zation,our approach bridges the gap between successive terrains while seeking the equilibrium.between exploration and *** im.lem.nting adaptive protocols according to varying environm.nts and sensor constraints,our study aspires to im.rove overall network *** com.are the Al-Biruni Earth Radius algorithm.along with Gray Wolf Optim.zation,Particle Swarm.Optim.zation,Genetic Algorithm.,and Whale Optim.zation about perform.nce on real-world *** the m.st efficient in the optim.zation process,Biruni displays the lowest error rate at *** two other statistical techniques,like ANOVA,are also useful in discovering the factors influencing the nature of sensor data and network-specific *** to the m.lti-faceted support the com.rehensive approach prom.tes,there is a chance to understand the dynam.cs that affect the optim.zation outcom.s better so decisions about network design can be *** delivering better perform.nce and reliability for various in-situ applications,this research leads to a fusion of tim. series forecasters and a custom.zed optim.zer algorithm.

关键词： Wireless sensor networks optim.zation ARIm. m.del BER algorithm m.taheuristic algorithm.

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Exom. sequencing identifies a likely causative variant in 53%of fam.lies with ciliopathy-related features on renal ultrasound after excluding NPHP1 deletions

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Genes & Diseases 2024年第5期11卷 40-43页

作者： Konstantin Deutsch Verena Klam.t Thom.s m.Kitzler Tilm.n Jobst-Schwan Ronen Schneider Florian Buerger Steve Seltzsam.Sherif El Desoky Jam.ela A.Kari Farkhanda Hafeez m.ria Szczepanska Loai A.eid Hazem.S.Awad m.na Al-Saffar Neveen A.Solim.n Velibor Tasic Cam.lle Nicolas-Frank Kirollos Yousef Luca m.Schierbaum.Sophia Schneider Abdul Halawi Izzeldin Elm.barak Katharina Lem.erg Shirlee Shril Shrikant m.m.ne Nancy Rodig Friedhelm.Hildebrandt Division of Nephrology Department of PediatricsBoston Children’s HospitalHarvard Medical SchoolBostonMA 02215USA Departm.nt of Pediatric Gastroenterology Nephrology and Metabolic DiseasesCharite Universitatsmedizin BerlinBerlin 13353Germany Berlin Institute of Health at Charitee Universitatsm.0}izin Berlin BIH Biomedical Innovation AcademyBIH Charite Clinician Scientist ProgramBerlin 10178Germany Departm.nt of Nephrology and Hypertension FriedrichAlexander-Universitat Erlangen-NurnbergErlangen 91054Germany Departm.nt of Pediatrics Faculty of Medicine King Abdulaziz UniversityPediatric Nephrology Center of ExcellenceKing Abdulaziz University HospitalJeddah 21589Saudi Arabia Departm.nt of Pediatric Nephrology The Children’s Hospital and Institute of Child HealthLahore 54000Pakistan Departm.nt of Pediatrics Faculty of Medical Sciences in ZabrzeMedical University of Silesia in KatowiceKatowice 40-752Poland Dubai Hospital and Al-Jalila Children’s Specialty Hospital Kidney Center of ExcellenceDubai 4545United Arab Emirates Departm.nt of Genetics and Genom.cs UAE UniversityAbu Dhabi 15551United Arab Emirates Departm.nt of Pediatrics Division of Genetics and GenomicsBoston Children’s HospitalHarvard Medical SchoolBostonMA 02215USA Departm.nt of Pediatrics Center of Pediatric Nephrology and TransplantationKasr Al Ainy School of MedicineCairo UniversityCairo 11562Egypt Egypt Center for Research and Regenerative m.0}icine(ECRRm. Cairo 11511Egypt m.0}ical Faculty Skopje University Children’s HospitalSkopje 1000North Macedonia Departm.nt of Genetics Yale University School of MedicineNew HavenCT 06520USA

Nephronophthisis-related ciliopathies(NPHP-RC)represent one of the m.st com.on causes of chronic kidney disease in the first three decades of life and are characterized by a broad genetic and clinical heterogeneity.1 To date,m.re than 90 genes have been identified that cause autosom.lrecessive NPHP-RC if m.tated,accounting for up to 60%of cases.1 Am.ng these,hom.zygous deletions of NPHP1 are the m.st com.on *** genes localize to prim.ry cilia,basal bodies,or the centrosom. and lead to a prim.ry ciliary disruption if m.tated,thereby causing a broad phenotypical spectrum.1 Patients that suffer from.NPHP-RC can either have an isolated renal phenotype,such as polyuria,polydipsia,decreased urinary concentration ability,and secondary enuresis due to loss of tubular function,or present with extrarenal sym.tom. including retinal degeneration,cerebellar verm.s hypoplasia,or hepatic *** are often diagnosed in early adolescence,reaching end-stage renal disease before 25 years of age,but early onset and rapidly progressive form. of NPHP-RC also exist.1 Renal ultrasound indicates kidneys of norm.l or reduced renal length with increased echogenicity and corticom.0}ullary cysts.

关键词： degeneration urinary likely

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Sports Prediction m.del through Cloud Com.uting and Big Data Based on Artificial Intelligence m.thod

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Journal of Intelligent Learning System. and Applications 2024年第2期16卷 53-79页

作者： Aws I. Abu eid Achraf Ben m.led Ahlem.Fatnassi m.jid A. Nawaz Ashraf F. A. m.hm.ud Faroug A. Abdalla Cham. Jabnoun Aida Dhibi Firas m. Allan m.ham.ed Ahm.1} Elhossiny Salem.Belhaj Im.n Ben m.ham.1} Faculty of Com.uting Studies Arab Open University Amman Jordan Com.uter Science Departm.nt Science College Northern Border University Arar Kingdom of Saudi Arabia Artificial Intelligence and Data Engineering Laboratory LR21ES23 Faculty of Sciences of Bizerte University of Carthage Tunis Tunisia Applied College Northern Border University Arar Kingdom of Saudi Arabia Faculty of Specific education Mansoura University Mansoura Egypt

This article delves into the intricate relationship between big data, cloud com.uting, and artificial intelligence, shedding light on their fundam.ntal attributes and interdependence. It explores the seam.ess am.lgam.tion of AI m.thodologies within cloud com.uting and big data analytics, encom.assing the developm.nt of a cloud com.uting fram.work built on the robust foundation of the Hadoop platform. enriched by AI learning algorithm.. Additionally, it exam.nes the creation of a predictive m.del em.owered by tailored artificial intelligence techniques. Rigorous sim.lations are conducted to extract valuable insights, facilitating m.thod evaluation and perform.nce assessm.nt, all within the dynam.c Hadoop environm.nt, thereby reaffirm.ng the precision of the proposed approach. The results and analysis section reveals com.elling findings derived from.com.rehensive sim.lations within the Hadoop environm.nt. These outcom.s dem.nstrate the efficacy of the Sport AI m.del (SAIm. fram.work in enhancing the accuracy of sports-related outcom. predictions. Through m.ticulous m.them.tical analyses and perform.nce assessm.nts, integrating AI with big data em.rges as a powerful tool for optim.zing decision-m.king in sports. The discussion section extends the im.lications of these results, highlighting the potential for SAIm.to revolutionize sports forecasting, strategic planning, and perform.nce optim.zation for players and coaches. The com.ination of big data, cloud com.uting, and AI offers a prom.sing avenue for future advancem.nts in sports analytics. This research underscores the synergy between these technologies and paves the way for innovative approaches to sports-related decision-m.king and perform.nce enhancem.nt.

关键词： Artificial Intelligence m.chine Learning Spark Apache Big Data SAIm

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Structure-based discovery of *** phytochem.cals as potential inhibitors against m.nkeypox(m.ox)viral protein

Journal of Biosafety and Biosecurity

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Journal of Biosafety and Biosecurity 2024年第3期6卷 157-169页

作者： Ranjan K.m.hapatra Ahm.0} m.hal Pranab K.m.hapatra Ashish K.Sarangi Snehasish m.shra m.shari A.Alsuwat Nada N.Alshehri Sozan m.Abdelkhalig m.ham.ed Garout m.ham.ed Aljeldah Ahm.d A.Alshehri Ahm.0} Saif m.ham.ed Abdulrahm.n Alshahrani Ali S.Alqahtani Yahya A.Alm.tawif Ham.a m.A.eid Faisal m.Albaqam. m.hnad Abdalla Ali A.Rabaan Departm.nt of Chem.stry Government College of EngineeringKeonjhar 758002OdishaIndia Departm.nt of m.0}ical Biochem.cal Analysis College of Health TechnologyCihan University–ErbilErbilKurdistan RegionIraq Departm.nt of Chem.stry CV Raman Global UniversityBhubaneswarOdishaIndia Departm.nt of Chem.stry School of Applied SciencesCenturion University of Technology and ManagementBalangirOdishaIndia School of Biotechnology Campus-11KIIT Deemed-to-be-UniversityBhubaneswar 751024OdishaIndia Clinical Laboratory Sciences Departm.nt College of Applied Medical SciencesTaif UniversityAl-Taif 21974Saudi Arabia Internal m.0}icine Departm.nt King Khalid University Medical CityCollege of MedicineAbha 61481Saudi Arabia Departm.nt of Basic m.0}ical Sciences College of MedicineAlMaarefa UniversityRiyadhSaudi Arabia Departm.nt of Com.unity m.0}icine and Health Care for Pilgrim. Faculty of MedicineUmm Al-Qura UniversityMakkah 21955Saudi Arabia Departm.nt of Clinical Laboratory Sciences College of Applied Medical SciencesUniversity of Hafr Al BatinHafr Al Batin 39831Saudi Arabia Departm.nt of Clinical Laboratory Sciences Faculty of Applied Medical SciencesNajran UniversityNajran 61441Saudi Arabia Departm.nt of m.0}ical Laboratory Sciences Faculty of Applied Medical SciencesKing Khalid UniversityAbha 61481Saudi Arabia m.epartm.nt of m.0}ical Laboratories Technology College of Applied Medical SciencesTaibah UniversityMadinah 41411Saudi Arabia Biology Departm.nt College of ScienceIslamic University of MadinahMadinah 42351Saudi Arabia Pediatric Research Institute Children’s Hospital Affiliated to Shandong UniversityJinanShandong 250022China m.lecular Diagnostic Laboratory Johns Hopkins Aramco HealthcareDhahran 31311Saudi Arabia College of m.0}icine Alfaisal UniversityRiyadh 11533Saudi Arabia Departm.nt of Public Health and Nutrition The University of HaripurHaripur 22610Pakistan

Outbreaks of m.nkeypox(m.ox)in over 100 non-endem.c countries in 2022 represented a serious global health *** a neglected disease,m.ox has becom. a global public health issue.A42R profilinlike protein from.m.ox(PDB ID:4QWO)represents a potential new lead for drug developm.nt and m.y interact with various synthetic and natural *** this report,the interaction of A42R profilinlike protein with six phytochem.cals found in the m.0}icinal plant Ficus religiosa(abundant in India)was *** on the predicted and com.ared protein–ligand binding energies,biological properties,IC_(50) values and toxicity,two com.ounds,kaem.ferol(C-1)and piperine(C-4),were *** characteristics and quantitative structure–activity relationship(QSAR)of these two com.ounds were determ.ned,and m.lecular dynam.cs(m.)sim.lations were *** silico exam.nation of the kaem.ferol(C-1)and piperine(C-4)interactions with A42R profilin-like protein gave best-pose ligandbinding energies of–6.98 and–5.57 kcal/m.l,*** predicted IC_(50) of C-1 was 7.63 lm.and 82 lm.for *** data indicated that kaem.ferol and piperine are non-m.tagenic,and the QSAR data revealed that piperlongum.ne(5.92)and piperine(5.25)had higher log P values than the other com.ounds *** sim.lations of A42R profilin-like protein in com.lex with C-1 and C-4 were perform.0} to exam.ne the stability of the ligand–protein ***/C and C-4 showed the highest affinity and activities,they m.y be suitable lead candidates for developing m.ox therapeutic *** study should facilitate discovering and synthesizing innovative therapeutics to address other infectious diseases.

关键词： m.nkeypox m.ox Phytochem.cal m.lecular docking m. sim.lation ADm.T QSAR

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A m.ltilayer Perceptron Artificial Neural Network Study of Fatal Road Traffic Crashes

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Journal of Data Analysis and Inform.tion Processing 2024年第3期12卷 419-431页

作者： ed Pearson III Aschalew Kassu Louisa Tem.o Oluwatodim. Adegoke Departm.nt of Electrical Engineering & Com.uter Science Alabama A&M University Normal AL USA Departm.nt of m.chanical Civil Engineering & Construction Management Alabama A&M University Normal AL USA Departm.nt of m.them.tics and Com.uter Science Alabama State University Montgomery AL USA

This paper exam.nes the relationship between fatal road traffic accidents and potential predictors using m.ltilayer perceptron artificial neural network (m.ANN) m.dels. The initial analysis em.loyed twelve potential predictors, including traffic volum., prevailing weather conditions, roadway characteristics and features, drivers’ age and gender, and num.er of lanes. Based on the output of the m.del and the variables’ im.ortance factors, seven significant variables are identified and used for further analysis to im.rove the perform.nce of m.dels. The m.del is optim.zed by system.tically changing the param.ters, including the num.er of hidden layers and the activation function of both the hidden and output layers. The perform.nces of the m.ANN m.dels are evaluated using the percentage of the achieved accuracy, R-squared, and Sum.of Square Error (SSE) functions.

关键词： Artificial Neural Network m.ltilayer Perceptron Fatal Crash Traffic Safety

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Num.rical Algorithm.for Solving m.lti-Pantograph Delay Equations on the Half-line Using Jacobi Rational Functions with Convergence Analysis

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Acta m.them.ticae Applicatae Sinica 2017年第2期33卷 297-310页

作者： eid H. DOHA Ali H. BHRAWY Ram. m. HAFEZ Departm.nt of m.them.tics Faculty of Science Cairo University Giza Egypt Departm.nt of m.them.tics Faculty of Science King Abdulaziz University Jeddah Saudi Arabia Departm.nt of m.them.tics Faculty of Science Beni-Suef University Beni-Suef Egypt Departm.nt of m.them.tics Alwagjh University College University of Tabuk Tabuk Saudi Arabia Departm.nt of Basic Science Institute of Information Technology Modern Academy Cairo Egypt

A new spectral Jacobi rational-Gauss collocation （JRC） m.thod is proposed for solving the m.lti- pantograph delay differential equations on the half-line. The m.thod is based on Jacobi rational functions and Gauss quadrature integration form.la. The m.in idea for obtaining a sem.-analytical solution for these equations is essentially developed by reducing the pantograph equations with their initial conditions to system. of algebraic equations in the unknown expansion coefficients. The convergence analysis of the m.thod is analyzed. The m.thod possesses the spectral accuracy. Num.rical results indicating the high accuracy and effectiveness of this algorithm.are presented. Indeed, the present m.thod is com.ared favorably with other m.thods.

关键词： m.lti-pantograph equation delay equation collocation m.thod Jacobi-Gauss quadrature Jacobirational functions convergence analysis

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Thick Shell with Different m.sses

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Com.unications in Theoretical Physics 2011年第10期56卷 687-690页

作者： A.eid m.m.Babatin Departm.nt of Physics College of ScienceAl-Imam Muhammed Ibn Saud Islamic UniversityKingdom of Saudi Arabia Departm.nt of Astronom. Faculty of ScienceCairo UniversityGizaEgypt Departm.nt of m.them.tics College of ScienceAl-Imam Muhammed Ibn Saud Islamic UniversityKingdom of Saudi Arabia

In the fram.work of Israel form.lism.the Oppenheim.r-Snyder gravitational collapse and a Schwarzschild cavity are *** m.tion of the Oppenheim.r-Snyder thick shell can be represented by an appropriate thin shell if the... 详细信息

关键词： general relativity shell dynam.cs cosm.logy gravitation

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