Search results for " mac"

showing 10 items of 3066 documents

In vitro comparison of flexural strength and elastic modulus of three provisional crown materials used in fixed prosthodontics

2013

Objectives: To evaluate and compare the flexural strength and the elastic moduli of three provisional crown materials (methyl methacrylate based autopolymerized resin, bis acryl composite based autopolymerized resin and urethane dimethacrylate based light polymerized resin) after storing in artificial saliva and testing at intervals of 24 hours and 7 days. Study design: A metal master mould with four slots of dimensions 25x2x2 mm was fabricated to obtain samples of standard dimensions. A total of 135 specimens were thus obtained with 45 each of three provisional materials. Further 15 samples of each group were tested after storing for one hour at room temperature and again at intervals of 2…

Universal testing machineMaterials sciencemedicine.medical_treatmentResearchComposite numberFixed prosthodonticstechnology industry and agricultureOdontologíaMethacrylate:CIENCIAS MÉDICAS [UNESCO]Ciencias de la saludCrown (dentistry)chemistry.chemical_compoundFlexural strengthchemistrystomatognathic systemClinical and Experimental DentistryUNESCO::CIENCIAS MÉDICASmedicineComposite materialMethyl methacrylateGeneral DentistryElastic modulus
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Impact of freezing rate on electrical conductivity of produce

2013

The aim of this work was to compare the effects of freezing rate on electrical conductivity of potatoes, carrots and apples. Electrical conductivity tests were conducted on a custom ohmic cell while samples texture was measured by means of a universal testing machine. The raw un-pretreated samples were used as control. This study showed that freezing pre-treatments lead to differences in electrical conductivity of considered samples, producing structural damage, the latter being relatively more severe when the tested products undergo ohmic treatment.

Universal testing machineMultidisciplinaryMaterials scienceElectro-heatingShort ReportFrozenOhmic processingFoodElectrical resistivity and conductivityElectrical conductivityTextureTexture (crystalline)Composite materialOhmic contactSpringerPlus
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Role of coefficient of thermal expansion on bond strength of ceramic veneered yttrium-stabilized zirconia

2017

Background Incompatible coefficient of thermal expansion (CTE) is supposed to be a reason for chipping of ceramic veneered zirconia. This study evaluates the effect of veneering ceramic at varied CTE on bond strength to zirconia. Material and Methods Zirconia disks (Z, O 10 mm, 1.0 mm thickness) were prepared from Y-TZP (Cercon®) and sintered at 1350°C for 6 hours. All zirconia disks were veneered with ceramics ((O 7.0 mm, 1.5 mm thickness) with varied CTE including VITADur® alpha (VDα), VITAVM®7 (VM7), VITAVM®9 (VM9), Cercon® ceramkiss (CCK), IPSe.max® ceram (IeC), and IPS dSIGN® (IdS) (n=15). The specimens were thermo-cycled (5-55 °C, 500 cycles) prior to determine the shear bond strength…

Universal testing machineProsthetic DentistryMaterials scienceBond strengthWeibull modulusResearchchemistry.chemical_element030206 dentistry02 engineering and technologyYttrium:CIENCIAS MÉDICAS [UNESCO]021001 nanoscience & nanotechnologyThermal expansionRod03 medical and health sciences0302 clinical medicinechemistryvisual_artUNESCO::CIENCIAS MÉDICASvisual_art.visual_art_mediumCubic zirconiaCeramicComposite material0210 nano-technologyGeneral Dentistry
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Effect of different sintering process on flexural strength of translucency monolithic zirconia

2018

Background Sintering process is responsible for the strength of zirconia restoration. This study evaluated the effect of different sintering temperatures and sintered-holding times on flexural strength of translucency monolithic zirconia. Material and Methods One hundred and thirty five zirconia bar specimens (width-length-thickness = 10×20×1.5 mm) were prepared from yttria-stabilized tetragonal zirconia polycrystalline (Y-TZP) ceramic and randomly divided into nine groups to be sintered at different temperatures [decreasing- (SD, 1350°C), regular- (SR, 1450°C), and increasing- (SI, 1550°C) sintering temperature] and different sintered-holding times [shortening- (HS, 60 min), regular- (HR, …

Universal testing machineProsthetic DentistryMaterials scienceScanning electron microscopeWeibull modulusResearchSintering030206 dentistry02 engineering and technologyBending:CIENCIAS MÉDICAS [UNESCO]021001 nanoscience & nanotechnology03 medical and health sciences0302 clinical medicineFlexural strengthvisual_artUNESCO::CIENCIAS MÉDICASvisual_art.visual_art_mediumCubic zirconiaCeramicComposite material0210 nano-technologyGeneral DentistryJournal of Clinical and Experimental Dentistry
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Fracture resistance of roots filled with three different obturation techniques

2012

Objectives: The aim of this study was to compare in vitro root fracture resistance following root canal filling with AH 26 using lateral condensation, BeeFill, and Thermafil techniques. Study Design: Eighty extracted human mandibular premolars with similar dimensions were selected. In order to standardize the roots, measurements were taken in two separate regions of the teeth—at the cemento-enamel junction and 8 mm apically from the junction—buccolingual as well as mesiodistal for every tooth. Teeth were then randomly divided into five groups (n=16). With the exception of the non-prepared group (Group 1), instrumentation was done in all groups. In group 2, instrumentation but no filling was…

Universal testing machineRoot Canal Obturationbusiness.industryRoot canalAnova testDentistryIn Vitro Techniques:CIENCIAS MÉDICAS [UNESCO]Lateral condensationEndodonticsTooth Fracturesmedicine.anatomical_structureOtorhinolaryngologyRoot Canal ObturationUNESCO::CIENCIAS MÉDICASmedicineFracture (geology)HumansSurgeryResearch-ArticlebusinessGeneral DentistryMathematicsMedicina Oral, Patología Oral y Cirugía Bucal
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Influence of artificial aging and ZrO2 nanoparticle-reinforced repair resin on the denture repair strength

2019

Background The purpose of this study was to evaluate the effect of aging process on the tensile strength (TS) of repaired acrylic denture base using ZrO2 nanoparticles (nano-ZrO2)-reinforced autopolymerized resin. Material and Methods A total of 240 heat-polymerized acrylic resin specimens (n=10) were prepared and sectioned creating 2 mm-repair-gap. Autopolymerized acrylic resin, pure and modified with 2.5, 5, and 7.5wt% nano-ZrO2 were used for specimens repair. TS of repaired specimens were measured using the universal testing machine after water immersion at 37oC for 2, 7 and 30 days. At each time interval, half the immersed specimens underwent thermo-cycling aging process (5000 cycles at…

Universal testing machineZro2 nanoparticlesProsthetic DentistryMaterials scienceResearchtechnology industry and agricultureNanoparticle030206 dentistry02 engineering and technology021001 nanoscience & nanotechnology:CIENCIAS MÉDICAS [UNESCO]Artificial aging03 medical and health sciences0302 clinical medicineWater immersionvisual_artUltimate tensile strengthUNESCO::CIENCIAS MÉDICASvisual_art.visual_art_mediumDenture RepairComposite material0210 nano-technologyGeneral DentistryAcrylic resin
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Bot recognition in a Web store: An approach based on unsupervised learning

2020

Abstract Web traffic on e-business sites is increasingly dominated by artificial agents (Web bots) which pose a threat to the website security, privacy, and performance. To develop efficient bot detection methods and discover reliable e-customer behavioural patterns, the accurate separation of traffic generated by legitimate users and Web bots is necessary. This paper proposes a machine learning solution to the problem of bot and human session classification, with a specific application to e-commerce. The approach studied in this work explores the use of unsupervised learning (k-means and Graded Possibilistic c-Means), followed by supervised labelling of clusters, a generative learning stra…

Unsupervised classificationWeb bot detectionComputer Networks and CommunicationsComputer scienceInternet robot02 engineering and technologyMachine learningcomputer.software_genreWeb trafficWeb serverMachine learning0202 electrical engineering electronic engineering information engineeringArtificial neural networkbusiness.industrySupervised learning020206 networking & telecommunicationsPerceptronWeb application securityWeb botComputer Science ApplicationsSupport vector machineGenerative modelComputingMethodologies_PATTERNRECOGNITIONHardware and ArchitectureSupervised classificationUnsupervised learning020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer
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Extracting Features from Social Media Networks Using Semantics

2016

This paper focuses on the analysis of social media content generated by social networks (e.g. Twitter) in order to extract semantic features. By using text categorization to sort text feeds into categories of similar feeds, it has been proved to reduce the overhead that is required to retrieve these feeds and at the same time, it provides smaller pools in which further investigations can be made easier. The aim of this survey is to draw a user profile, by analysing his or her tweets. In this early stage of research, being a pre-processing phase, a dictionary based approach is considered. Moreover, the paper describes an algorithm used in analysing the text and its preliminary results. This …

User profileInformation retrievalComputer sciencebusiness.industrySemantic analysis (machine learning)Feature extractioncomputer.software_genreSemanticsSupport vector machinesortOverhead (computing)Social mediaArtificial intelligencebusinesscomputerNatural language processing
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Peptide classification using optimal and information theoretic syntactic modeling

2010

Accepted version of an article published in the journal: Pattern Recognition. Published version available on Sciverse: http://dx.doi.org/10.1016/j.patcog.2010.05.022 We consider the problem of classifying peptides using the information residing in their syntactic representations. This problem, which has been studied for more than a decade, has typically been investigated using distance-based metrics that involve the edit operations required in the peptide comparisons. In this paper, we shall demonstrate that the Optimal and Information Theoretic (OIT) model of Oommen and Kashyap [22] applicable for syntactic pattern recognition can be used to tackle peptide classification problem. We advoca…

VDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 4220206 medical engineeringSequence alignment02 engineering and technologySyntactic pattern recognitionInformation theorySubstitution matrix03 medical and health sciencesArtificial IntelligenceVDP::Medical disciplines: 700::Basic medical dental and veterinary science disciplines: 710::Medical molecular biology: 711030304 developmental biologyMathematicsProbability measure0303 health sciencesbusiness.industryPattern recognitionSimilitudeSupport vector machineSignal ProcessingComputer Vision and Pattern RecognitionArtificial intelligencebusinessClassifier (UML)Algorithm020602 bioinformaticsSoftware
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Optimization of Biodiesel Injection Parameters Based on Support Vector Machine

2013

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from Hindawi: http://dx.doi.org/10.1155/2013/893084. Open Access For the running diesel engine, spray-atomization, mixed-combustion, and thermal-power conversion processes are inseparable, which causes difficulty to investigate atomization effect separately. This study was conducted to improve the atomization efficiency of the soybean fatty acid methyl ester (SFAME) in engine, to achieve the minimum effective specific fuel consumption in specific engine working conditions, the different injection parameters combination were explored on the influence of effective specific fuel consumption at …

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413EngineeringBiodieselArticle Subjectbusiness.industryGeneral Mathematicslcsh:MathematicsVDP::Technology: 500::Mechanical engineering: 570General EngineeringMechanical engineeringDiesel enginelcsh:QA1-939Support vector machinechemistry.chemical_compoundchemistrylcsh:TA1-2040Thrust specific fuel consumptionProcess engineeringbusinesslcsh:Engineering (General). Civil engineering (General)Fatty acid methyl esterMathematical Problems in Engineering
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