Search results for "Models"

showing 10 items of 8211 documents

Experimental Investigation of the Shear Response of Precast Steel-Concrete Trussed Beams

2017

The results of an experimental campaign of three-point bending tests on precast composite beams, named hybrid steel-trussed concrete beams (HSTCBs), are provided. HSTCBs are typically constituted by a precast steel truss embedded in a block of concrete cast in place. Two series of specimens were manufactured, designed such that shear failure would occur, and tested under positive and negative bending moment. The experimental results obtained showed that fragile shear failure occurred in almost all cases, evidencing the crisis of the compressed concrete strut involved in the collapse mechanism. Yielding of the steel members provided ductility to the system, especially in those cases in which…

Three-point bending testsEngineering0211 other engineering and technologiesTruss020101 civil engineering02 engineering and technologyBendingAnalytical model0201 civil engineeringHybrid steel-trussed concrete beamsPrecast concrete021105 building & constructionGeneral Materials ScienceMechanics of MaterialAnalytical modelsDuctilityCivil and Structural EngineeringHybrid steel-trussed concrete beambusiness.industryMetal and composite structuresMechanical EngineeringShear resistanceStructural engineeringBuilding and ConstructionStrength of materialsShear (sheet metal)Three-point bending testSettore ICAR/09 - Tecnica Delle CostruzioniShear resistanceAnalytical models; Hybrid steel-trussed concrete beams; Metal and composite structures; Shear resistance; Three-point bending tests; Civil and Structural Engineering; Building and Construction; Materials Science (all); Mechanics of Materials; Mechanical EngineeringMechanics of MaterialsBending momentMetal and composite structureMaterials Science (all)business
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Caspase-3 contributes to ZO-1 and Cl-5 tight-junction disruption in rapid anoxic neurovascular unit damage.

2011

BACKGROUND: Tight-junction (TJ) protein degradation is a decisive step in hypoxic blood-brain barrier (BBB) breakdown in stroke. In this study we elucidated the impact of acute cerebral ischemia on TJ protein arrangement and the role of the apoptotic effector protease caspase-3 in this context. METHODOLOGY/PRINCIPAL FINDINGS: We used an in vitro model of the neurovascular unit and the guinea pig whole brain preparation to analyze with immunohistochemical methods the BBB properties and neurovascular integrity. In both methodological approaches we observed rapid TJ protein disruptions after 30 min of oxygen and glucose deprivation or middle cerebral artery occlusion, which were accompanied by…

Time FactorsAnatomy and Physiologylcsh:MedicineMiceMolecular Cell BiologyPathologySignaling in Cellular ProcessesHypoxia Brainlcsh:ScienceCells CulturedNeuropathologyApoptotic SignalingMultidisciplinaryTight junctionCaspase 3ChemistryAnimal ModelsCell biologyTransport proteinProtein Transportmedicine.anatomical_structureNeurologyBlood-Brain BarrierMedicineResearch ArticleSignal TransductionClinical Research DesignCerebrovascular DiseasesGuinea PigsIschemiaContext (language use)Caspase 3Protein degradationBlood–brain barrierNeurological SystemTight JunctionsCapillary PermeabilityModel OrganismsDiagnostic MedicinemedicineAnimalsTransient Ischemic AttacksAnimal Models of DiseaseClaudinBiologyIschemic Strokelcsh:REndothelial CellsMembrane ProteinsPhosphoproteinsmedicine.diseaseAnatomical PathologyClaudinsImmunologyZonula Occludens-1 ProteinNervous System Componentslcsh:QPLoS ONE
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Unveiling distribution patterns of freshwater phytoplankton by a next generation sequencing based approach.

2012

The recognition and discrimination of phytoplankton species is one of the foundations of freshwater biodiversity research and environmental monitoring. This step is frequently a bottleneck in the analytical chain from sampling to data analysis and subsequent environmental status evaluation. Here we present phytoplankton diversity data from 49 lakes including three seasonal surveys assessed by next generation sequencing (NGS) of 16S ribosomal RNA chloroplast and cyanobacterial gene amplicons and also compare part of these datasets with identification based on morphology. Direct comparison of NGS to microscopic data from three time-series showed that NGS was able to capture the seasonality in…

Time FactorsBiodiversitylcsh:MedicineMarine and Aquatic SciencesFresh WaterPlant Science580 Plants (Botany)10126 Department of Plant and Microbial BiologyPhytoplankton successionRNA Ribosomal 16Ssequence databasesNaturvetenskapEnvironmental monitoringlcsh:ScienceTrophic levelFreshwater EcologyMultidisciplinaryEcologyEcologykloroplastiHigh-Throughput Nucleotide SequencingGenomicsPlantssinibakteeritviherhiukkasetribosomal RNANatural ScienceskasviplanktonResearch ArticleFood ChainAlgaeta11721100 General Agricultural and Biological SciencesBiologyjärvetMicrobiologyDNA sequencingMicrobial EcologysekvenssitietokantaModel Organisms1300 General Biochemistry Genetics and Molecular BiologyPlant and Algal ModelsPhytoplanktonEvolutionary Systematicsribosomaalinen RNAsyanobakteeritBiologyTaxonomy1000 MultidisciplinaryEvolutionary BiologySequence Analysis RNAlcsh:RfungiRibosomal RNAjärviTaxonPhytoplanktonphytoplanktonEarth Scienceslcsh:QEnvironmental ProtectionEcological EnvironmentsPloS one
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Critical behavior of a tumor growth model: directed percolation with a mean-field flavor.

2012

We examine the critical behaviour of a lattice model of tumor growth where supplied nutrients are correlated with the distribution of tumor cells. Our results support the previous report (Ferreira et al., Phys. Rev. E 85, 010901 (2012)), which suggested that the critical behaviour of the model differs from the expected Directed Percolation (DP) universality class. Surprisingly, only some of the critical exponents (beta, alpha, nu_perp, and z) take non-DP values while some others (beta', nu_||, and spreading-dynamics exponents Theta, delta, z') remain very close to their DP counterparts. The obtained exponents satisfy the scaling relations beta=alpha*nu_||, beta'=delta*nu_||, and the general…

Time FactorsBiophysicsFOS: Physical sciencesModels BiologicalDiffusionNeoplasmsHumansComputer SimulationScalingCondensed Matter - Statistical MechanicsMathematical physicsMathematicsCell ProliferationProbabilityLattice model (finance)Statistical Mechanics (cond-mat.stat-mech)Condensed matter physicsNeovascularization PathologicRenormalization groupModels TheoreticalDirected percolationDistribution (mathematics)Mean field theoryExponentBlood VesselsCritical exponentMonte Carlo MethodAlgorithmsPhysical review. E, Statistical, nonlinear, and soft matter physics
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Growth patterns at distal radius and tibial shaft in pubertal girls: a 2-year longitudinal study.

2005

Bone changes, in terms of both size and BMD, were assessed longitudinally in pubertal girls. Before puberty, BMD at the distal radius declined, whereas bone size increased, suggesting that normal growing girls experience a transient period of increased bone fragility. This could explain the elevated low-trauma forearm fracture rates reported in earlier studies. Introduction: Longitudinal data on bone growth during puberty are sparse. Such information is needed to understand the sequence of biological changes, the physical and mechanical consequences for the growing skeleton, and the implications for later life. Materials and Methods: The geometric properties and volumetric BMD (vBMD) of the…

Time FactorsBone densityAdolescentEndocrinology Diabetes and Metabolismmedicine.medical_treatmentBone and BonesBone DensityMedicineHumansOrthopedics and Sports MedicineTibiaLongitudinal StudiesChildReduction (orthopedic surgery)Bone growthMenarcheBone DevelopmentModels StatisticalAnthropometryTibiabusiness.industryBody WeightPubertyAnatomySkeleton (computer programming)Body HeightAppositionRadiusMenarcheLinear ModelsFemalebusinessDensitometryDensitometryJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
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Species-specific aggregation factor in sponges V. Influence on programmed syntheses

1976

Isolated cells from the siliceous sponge Geodia cydonium as well as small primary aggregates (diameter: 70 mum) consisting of them show no increase in rates of programmed syntheses and mitotic activity with time. After addition of a highly purified aggregation factor to a culture with primary aggregates which subsequently form secondary aggregates (diameter: larger than 1000 mum), a dramatic increase of DNA, RNA and protein synthesis occurs. Together with this increase, the cells show a high mitotic activity. The values for the mitotic coefficient reach a first maximum 8 h after the beginning of the secondary aggregation process. The stimulation of the mitotic activity of cells during the a…

Time FactorsCellPopulationStimulationBiologyModels BiologicalBiochemistry Genetics and Molecular Biology (miscellaneous)Bleomycinchemistry.chemical_compoundSpecies SpecificitymedicineProtein biosynthesisAnimalseducationMitosisCell Aggregationeducation.field_of_studyDNA synthesisRNADNAPoriferamedicine.anatomical_structurechemistryBiochemistryProtein BiosynthesisDactinomycinBiophysicsRNAPuromycinColchicineCell DivisionDNABiochimica et Biophysica Acta (BBA) - Nucleic Acids and Protein Synthesis
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Benefits of solvent concentration pulses in retention time modelling of liquid chromatography

2019

The advantages and disadvantages of the use of isocratic experimental designs including transient increments of organic solvent (i.e., pulses) in the mobile phase(s) of lowest elution strength are explored with modelling purposes. For retained solutes, this type of mixed design offers similar or better predictive capability than gradient designs, shorter measurement time than pure isocratic designs, and retention model parameters that agree with those derived from pure isocratic experiments, with similar uncertainties. The predicted retention times are comparable to those offered by models adjusted from pure isocratic designs, and the solvent waste is appreciably lower. Under a practical st…

Time FactorsChromatographyChemistryElutionDesign of experiments010401 analytical chemistryOrganic ChemistryGeneral Medicine010402 general chemistry01 natural sciencesBiochemistryHigh-performance liquid chromatographyIntegral equation0104 chemical sciencesAnalytical ChemistryPulse (physics)Numerical integrationSolventModels ChemicalPhase (matter)SolventsChromatography LiquidJournal of Chromatography A
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The what, when, where, and how of visual word recognition

2014

A long-standing debate in reading research is whether printed words are perceived in a feedforward manner on the basis of orthographic information, with other representations such as semantics and phonology activated subsequently, or whether the system is fully interactive and feedback from these representations shapes early visual word recognition. We review recent evidence from behavioral, functional magnetic resonance imaging, electroencephalography, magnetoencephalography, and biologically plausible connectionist modeling approaches, focusing on how each approach provides insight into the temporal flow of information in the lexical system. We conclude that, consistent with interactive a…

Time FactorsCognitive Neurosciencemedia_common.quotation_subjectModels NeurologicalExperimental and Cognitive PsychologySemantics050105 experimental psychology03 medical and health sciences0302 clinical medicineConnectionismReading (process)medicineHumans0501 psychology and cognitive sciencesVisual word form areamedia_commonCognitive scienceCommunicationBrain Mappingmedicine.diagnostic_testbusiness.industry05 social sciencesCognitive neuroscience of visual object recognitionBrainPhonologyRecognition PsychologyNeuropsychology and Physiological PsychologyPattern Recognition VisualReadingWord recognitionFunctional magnetic resonance imagingPsychologybusiness030217 neurology & neurosurgeryTrends in Cognitive Sciences
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Functional Brain Segmentation Using Inter-Subject Correlation in fMRI

2016

The human brain continuously processes massive amounts of rich sensory information. To better understand such highly complex brain processes, modern neuroimaging studies are increasingly utilizing experimental setups that better mimic daily‐life situations. A new exploratory data‐analysis approach, functional segmentation inter‐subject correlation analysis (FuSeISC), was proposed to facilitate the analysis of functional magnetic resonance (fMRI) data sets collected in these experiments. The method provides a new type of functional segmentation of brain areas, not only characterizing areas that display similar processing across subjects but also areas in which processing across subjects is h…

Time FactorsComputer science0302 clinical medicinetoiminnallinen magneettikuvausImage Processing Computer-AssistedCluster AnalysisSegmentationResearch Articlesinter-subject variabilityBrain Mappingshared nearest-neighborgraphmedicine.diagnostic_test05 social sciencesBrainHuman brainMiddle AgedMagnetic Resonance Imagingmedicine.anatomical_structurefunctional segmentationGaussian mixture modelGraph (abstract data type)/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beinginter-subject correlationAlgorithmsAdultshared nearest-neighbor graphModels NeurologicalSensory system050105 experimental psychology03 medical and health sciencesYoung AdultNeuroimagingSDG 3 - Good Health and Well-beingmedicineHumans0501 psychology and cognitive sciencesComputer SimulationCluster analysishuman brainCommunicationbusiness.industryMagnetic resonance imagingPattern recognitionfunctional magnetic resonance imagingOxygenAffinity propagationnaturalistic stimulationArtificial intelligencebusiness030217 neurology & neurosurgery
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A method for the time-varying nonlinear prediction of complex nonstationary biomedical signals

2009

A method to perform time-varying (TV) nonlinear prediction of biomedical signals in the presence of nonstationarity is presented in this paper. The method is based on identification of TV autoregressive models through expansion of the TV coefficients onto a set of basis functions and on k -nearest neighbor local linear approximation to perform nonlinear prediction. The approach provides reasonable nonlinear prediction even for TV deterministic chaotic signals, which has been a daunting task to date. Moreover, the method is used in conjunction with a TV surrogate method to provide statistical validation that the presence of nonlinearity is not due to nonstationarity itself. The approach is t…

Time FactorsComputer scienceSpeech recognitionChaoticBiomedical EngineeringBasis functionModels BiologicalSurrogate dataYoung AdultHeart RatePredictive Value of TestsNonstationary signalHumansComputer SimulationEEGPredictabilitySignal processingNonlinear dynamicElectroencephalographySignal Processing Computer-AssistedComplexityLocal nonlinear predictionNonlinear systemNonlinear DynamicsAutoregressive modelData Interpretation StatisticalSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaLinear approximationSurrogate dataAlgorithmHeart rate variability (HRV)Algorithms
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