Search results for "difference"

showing 10 items of 1534 documents

Effects of recycling and bonding agent application on bond strength of stainless steel orthodontic brackets

2014

Objectives: 1) to assess different methods of recycling orthodontic brackets, 2) to evaluate Shear Bond Strength (SBS) of (a) new, (b) recycled and (c) repeated recycled stainless steel brackets (i) with and (ii) without bracket base primer. Study Design: A total of 180 extracted human premolar teeth and 180 premolar stainless steel brackets were used. One hundred teeth and 100 brackets were divided into five groups of 20-teeth each. Four methods of recycling orthodontic brackets were used in each of the first four groups while the last one (group V) was used as the control. Groups (I-V) were subjected to shear force within half an hour until the brackets debond. SBS was measured and the me…

Materials sciencebusiness.industryBond strengthResearchBracketShear forceSignificant differenceDentistryOrthodontics:CIENCIAS MÉDICAS [UNESCO]Shear bondOrthodontic bracketsmedicine.anatomical_structureUNESCO::CIENCIAS MÉDICASPremolarmedicineComposite materialbusinessGeneral Dentistry
researchProduct

Osteogenic parameters surrounding trabecular tantalum metal implants in osteotomies prepared via osseodensification drilling

2019

Background Surgical fixation of implants into bone for the correction of bone deformities or defects is a traditional approach for skeletal stabilization. Important measures of efficacy of implants include implant stability and osseointegration—the direct interaction between living bone and an implant. Osseointegration depends on successful implant placement and subsequent bone remodeling. This study utilized osseodensification drilling (OD) in a low bone density model using trabecular metal (TM) implants. Material and Methods Three osteotomy sites, Regular, OD-CW (clockwise), and OD-CCW (counterclockwise), were prepared in each ilium of three female sheep. Drilling was performed at 1100rpm…

Materials sciencemedicine.medical_treatmentTantalumOsteotomyOsseointegrationBone remodeling03 medical and health sciencesFixation (surgical)0302 clinical medicineOsseointegrationOsteogenesismedicineAnimalsGeneral DentistryDental ImplantsSheepSaline irrigationResearchSignificant differenceDental Implantation Endosseous030206 dentistry:CIENCIAS MÉDICAS [UNESCO]OsteotomyOtorhinolaryngologyMetalsUNESCO::CIENCIAS MÉDICASSurgeryImplantOral SurgeryBone volumeBiomedical engineeringMedicina Oral, Patología Oral y Cirugía Bucal
researchProduct

Time-resolved FDTD and experimental FTIR study of gold micropatch arrays for wavelength-selective mid-infrared optical coupling

2021

The work was partially supported by Sweden's innovation agency Vinnova (Large area CVD graphene-based sensors/IR-photodetectors 2020-00797) and EU CAMART2 project (European Union's Horizon 2020 Framework Programme H2020-WIDESPREAD-01-2016-2017-TeamingPhase2 under grant agreement No.739508). TY acknowledges European Regional Development Fund Project No. 1.1.1.2/VIAA/4/20/740.

Materials sciencenano fabricationInfraredFDTDMathematicsofComputing_GENERALInfrared spectroscopyPhotodetectorTP1-118502 engineering and technologyFar field opticsInfrared sensing7. Clean energy01 natural sciencesBiochemistrynear field opticsAnalytical Chemistry010309 opticselectron beam lithography0103 physical sciencesTransmittanceArray data structureElectrical and Electronic EngineeringInstrumentationinfrared sensingNear field opticsbusiness.industryChemical technologyCommunicationNear-field opticsFinite-difference time-domain methodmetal micropatch arrays021001 nanoscience & nanotechnologyAtomic and Molecular Physics and Opticsfar field opticsWavelengthFTIR:NATURAL SCIENCES [Research Subject Categories]OptoelectronicsElectron beam lithography0210 nano-technologybusinessMetal micropatch arraysNano fabrication
researchProduct

Brief maternal separation procedures occurring early in life affect learning and memory in adult Wistar rats: sex-related differences in cognitive be…

2015

Adverse life events during the neonatal period result in long-term effects on physiology and behavior. Early postnatal experiences, such as a modification of the mother–infant interaction, may influence the development of neural systems that underlie the expression of neuroendocrine and behavioural responses to environmental challenges. The present study was carried out to investigate the consequences of a brief, maternal separation on declarative and spatial memory, focusing on sex related alteration due to the discrete effects that hormones may play on the brain circuits. Our results indicate that a brief, daily maternal separation results in sexually-dimorphic cognitive alterations that …

Maternal Separation Learning and memory cognitive behaviourMaternal separation Learning and memoyr sex differencesSettore BIO/14 - Farmacologia
researchProduct

Associative and reflective connections between the limit of the difference quotient and limiting process

2006

Abstract This paper reports a study of how students may connect the limiting process inherent in the derivative to the limit of the difference quotient (LDQ) when solving problems. The data was collected mainly through task-based interviews with five eleventh grade students. It was found that the students used various kinds of limiting processes and connected them in different ways to LDQ. Some of them changed between these two representations, and some students explained one with the other. The two kinds of connections were, respectively, named as associative and reflective connections. One of the students, who made the associative connection, used LDQ skillfully. On the contrary, a studen…

Mathematical logicProcess (engineering)Applied MathematicsConcept learningMathematics educationLimit (mathematics)PsychologyRepresentation (mathematics)Difference quotientApplied PsychologyAssociative propertyEducationConnection (mathematics)The Journal of Mathematical Behavior
researchProduct

Further experiences on unsteady seepage flow

1973

The present paper describes the results of a study on the unsteady flow in a horizontal homogeneous filter, which is accomplished when the level of the reservoir that recharges the filter is instantly drawn up. This study was carried out at the University of Palermo Institute of Hydraulics as a part of a research program concerning artificial recharge of ground water and the geotechnical problems involving the stability of porous media subject to the variations of surrounding pressures. A numerical procedure, aiming at solving the equation of Boussinesq by a finite difference method, was adopted and an electronic computer was used. A Hele-Shaw filter model was used to carry out several expe…

Mathematical modelComputer scienceHydraulicsMechanical EngineeringFinite difference methodMechanicsGroundwater rechargeCondensed Matter PhysicsStability (probability)law.inventionFilter (large eddy simulation)Mechanics of MaterialslawFluid dynamicsPorous mediumMeccanica
researchProduct

Determination of Torsional Stresses in Shafts: From Physical Analogies to Mathematical Models

2015

This paper presents the historical development of methods used for the study of torsional stresses in shafts. In particular, the paper covers both analog methods, especially those based on electrical analogies proposed circa 1925, and numerical methods, especially finite difference methods (FDM), finite element methods (FEM) and boundary element methods (BEM).

Mathematical modelbusiness.industryNumerical analysisElectrical analogTorsional stress analysis BEM FEMFinite difference methodStructural engineeringMechanicsFinite element methodSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineDevelopment (topology)businessBoundary element methodMathematics
researchProduct

On Mathematical Modelling of Metals Distribution in Peat Layers

2014

In this paper we consider averaging and finite difference methods for solving the 3-D boundary-value problem in multilayered domain. We consider the metals Fe and Ca concentration in the layered peat blocks. Using experimental data the mathematical model for calculation of concentration of metals in different points in peat layers is developed. A specific feature of these problems is that it is necessary to solve the 3-D boundary-value problems for elliptic type partial differential equations (PDEs) of second order with piece-wise diffusion coefficients in the layered domain. We develop here a finite-difference method for solving of a problem of one, two and three peat blocks with periodica…

Mathematical optimization3-D boundary-value problemPeatPartial differential equationFinite difference methodheavy metals Fe and Caaveraging methodpeat bogDomain (mathematical analysis)Distribution (mathematics)Modeling and SimulationQA1-939Applied mathematicsBoundary value problemDiffusion (business)Circulant matrixMathematicsAnalysisfinite difference methodMathematicsMathematical Modelling and Analysis
researchProduct

One- and multi-locus multi-allele selection models in a random environment

1979

We deduce conditions for stochastic local stability of general perturbed linear stochastic difference equations widely applicable in population genetics. The findings are adapted to evaluate the stability properties of equilibria in classical one- and multi-locus multi-allele selection models influenced by random temporal variation in selection intensities. As an example of some conclusions and biological interpretations we analyse a special one-locus multi-allele model in more detail.

Mathematical optimizationApplied MathematicsModeling and SimulationStochastic difference equationsRandom environmentPopulation geneticsApplied mathematicsLocus (genetics)Stochastic optimizationAlleleQuantitative Biology::GenomicsAgricultural and Biological Sciences (miscellaneous)MathematicsJournal of Mathematical Biology
researchProduct

Least-squares temporal difference learning based on an extreme learning machine

2014

Abstract Reinforcement learning (RL) is a general class of algorithms for solving decision-making problems, which are usually modeled using the Markov decision process (MDP) framework. RL can find exact solutions only when the MDP state space is discrete and small enough. Due to the fact that many real-world problems are described by continuous variables, approximation is essential in practical applications of RL. This paper is focused on learning the value function of a fixed policy in continuous MPDs. This is an important subproblem of several RL algorithms. We propose a least-squares temporal difference (LSTD) algorithm based on the extreme learning machine. LSTD is typically combined wi…

Mathematical optimizationArtificial neural networkArtificial IntelligenceCognitive NeuroscienceBellman equationReinforcement learningState spaceMarkov decision processTemporal difference learningComputer Science ApplicationsMathematicsExtreme learning machineCurse of dimensionalityNeurocomputing
researchProduct