Search results for "descriptive"

showing 10 items of 494 documents

Data repeatability and acquisition techniques for Time-Domain Spectral Induced Polarization

2013

The Time Domain Induced Polarization (TDIP) technique is widely used in applied geophysics, particularly for environmental issues, for instance for delineating landfills or detecting leachate percolation. Because the reliability of IP data remains an issue at the field scale, this paper deals with the factors controlling data quality and compares different arrays and acquisition parameters for optimal collection of data in the field. The first part focuses on repeatability experiments carried out in the former Horlokke landfill (Denmark), in order to infer the degree of which a signal can be reproduced over time. Results show a good repeatability, with on average less than 10% of difference…

Spectral induced polarisationgeophysicsMineralogyScale (descriptive set theory)RepeatabilityInduced polarizationSignalGeophysicsData qualityspectral induced polarizationspectralTime domainAlgorithmGeologyReliability (statistics)
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Effects of ocean acidification on embryonic respiration and development of a temperate wrasse living along a natural CO2 gradient

2016

Volcanic CO2 seeps provide opportunities to investigate the effects of ocean acidification on organisms in the wild. To understand the influence of increasing CO2 concentrations on the metabolic rate (oxygen consumption) and the development of ocellated wrasse early life stages, we ran two field experiments, collecting embryos from nesting sites with different partial pressures of CO2 [pCO2; ambient (400 µatm) and high (800-1000 µatm)] and reciprocally transplanting embryos from ambient- to high-CO2 sites for 30 h. Ocellated wrasse offspring brooded in different CO2 conditions had similar responses, but after transplanting portions of nests to the high-CO2 site, embryos from parents that sp…

StageOcean Acidification International Coordination Centre (OA-ICC)TemperateRegistration number of speciesSalinityinorganicYolk area standard errorAlkalinityExperimentTemperature waterCarbon inorganic dissolvedCalculated using seacarb after Nisumaa et al 2010Aragonite saturation stateRespiration rate oxygenChordataAlkalinity totaltotalCO2 ventpHPelagosReproductionRespirationSymphodus ocellatusTemperatureYolk areadissolvedCarbonate ionPartial pressure of carbon dioxide (water) at sea surface temperature (wet air)Field experimentTemperature water standard deviationTime pointstandard errorRespiration rateEarth System Researchstandard deviationFOS: Medical biotechnologyUniform resource locator link to referenceTime point descriptiveHatchling lengthCalcite saturation statewaterPartial pressure of carbon dioxidedescriptiveGrowth MorphologyFigureUniform resource locator/link to referenceSalinity standard deviationOcean Acidification International Coordination Centre OA ICCMediterranean SeaAnimaliaEggs areaTypeBicarbonate ionNektonEggs area standard errorCalculated using seacarb after Nisumaa et al. (2010)SpeciesPartial pressure of carbon dioxide standard deviationCarbonate system computation flagpH standard deviationHatchling length standard errorFugacity of carbon dioxide (water) at sea surface temperature (wet air)CarbonTreatmentOxygenPartial pressure of carbon dioxide water at sea surface temperature wet airCarbon dioxideGrowth/MorphologySingle speciesOxygen standard deviationFugacity of carbon dioxide water at sea surface temperature wet airCoast and continental shelf
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Sparse relative risk regression models

2020

Summary Clinical studies where patients are routinely screened for many genomic features are becoming more routine. In principle, this holds the promise of being able to find genomic signatures for a particular disease. In particular, cancer survival is thought to be closely linked to the genomic constitution of the tumor. Discovering such signatures will be useful in the diagnosis of the patient, may be used for treatment decisions and, perhaps, even the development of new treatments. However, genomic data are typically noisy and high-dimensional, not rarely outstripping the number of patients included in the study. Regularized survival models have been proposed to deal with such scenarios…

Statistics and ProbabilityClustering high-dimensional dataComputer sciencedgLARSInferenceScale (descriptive set theory)BiostatisticsMachine learningcomputer.software_genreRisk Assessment01 natural sciencesRegularization (mathematics)Relative risk regression model010104 statistics & probability03 medical and health sciencesNeoplasmsCovariateHumansComputer Simulation0101 mathematicsOnline Only ArticlesSurvival analysis030304 developmental biology0303 health sciencesModels Statisticalbusiness.industryLeast-angle regressionRegression analysisGeneral MedicineSurvival AnalysisHigh-dimensional dataGene expression dataRegression AnalysisArtificial intelligenceStatistics Probability and UncertaintySettore SECS-S/01 - StatisticabusinessSparsitycomputerBiostatistics
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The Power of Word-Frequency Based Alignment-Free Functions: a Comprehensive Large-Scale Experimental Analysis

2021

Abstract Motivation Alignment-free (AF) distance/similarity functions are a key tool for sequence analysis. Experimental studies on real datasets abound and, to some extent, there are also studies regarding their control of false positive rate (Type I error). However, assessment of their power, i.e. their ability to identify true similarity, has been limited to some members of the D2 family. The corresponding experimental studies have concentrated on short sequences, a scenario no longer adequate for current applications, where sequence lengths may vary considerably. Such a State of the Art is methodologically problematic, since information regarding a key feature such as power is either mi…

Statistics and ProbabilitySequenceSimilarity (geometry)Settore INF/01 - Informaticasequence analysisComputer sciencepower statisticsAlignment-Free Genomic Analysis Big Data Software Platforms Bioinformatics AlgorithmsScale (descriptive set theory)Function (mathematics)computer.software_genreBiochemistryComputer Science ApplicationsSet (abstract data type)Computational MathematicsRange (mathematics)Computational Theory and Mathematicssequence analysis; power statistics; alignment-free functionsalignment-free functionsData miningCompleteness (statistics)Molecular BiologycomputerType I and type II errors
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Effective target arrangement in a deterministic scale-free graph

2010

We study the random walk problem on a deterministic scale-free network, in the presence of a set of static, identical targets; due to the strong inhomogeneity of the underlying structure the mean first-passage time (MFPT), meant as a measure of transport efficiency, is expected to depend sensitively on the position of targets. We consider several spatial arrangements for targets and we calculate, mainly rigorously, the related MFPT, where the average is taken over all possible starting points and over all possible paths. For all the cases studied, the MFPT asymptotically scales like N^{theta}, being N the volume of the substrate and theta ranging from (1 - log 2/log3), for central target(s)…

Stochastic ProcessesModels StatisticalStatistical Mechanics (cond-mat.stat-mech)Structure (category theory)FOS: Physical sciencesScale (descriptive set theory)Free graphMeasure (mathematics)Models BiologicalCombinatoricsBiological Clocks; Computer Simulation; Models Biological; Models Statistical; Stochastic Processes; Statistical and Nonlinear Physics; Statistics and Probability; Condensed Matter PhysicsPosition (vector)Biological ClocksComputer SimulationCondensed Matter - Statistical MechanicsMathematics
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Background questionnaires of PISA : a study of the assessment indicators

2016

El sistema de evaluación de PISA ha generado y continúa generando intensos debates sobre su estructura y utilidad. Este artículo se centra en los cuestionarios de contexto, como forma de analizar y entender de manera adecuada los resultados. Los objetivos son analizar los indicadores de contexto que se utilizan en las distintas ediciones de las pruebas PISA, su utilización en distintos estudios y en los resultados de estos estudios. Se proporciona una visión general del modelo utilizado para conseguir que estos indicadores dejen de ser algo que acompaña a las prueba de rendimiento para que alcancen su verdadero sentido: analizar conjuntamente el rendimiento junto con las variables que…

Structure (mathematical logic)Descriptive statisticsHorizontal and verticalsistema educativo05 social sciencesevaluación normativa050301 educationContext (language use)Informe PISADocument analysiscuestionario050105 experimental psychologyEducationTest (assessment)Educació AvaluacióMathematics educationSemantic analysis (knowledge representation)0501 psychology and cognitive sciencesPsychology0503 educationmedida del rendimientoMeaning (linguistics)
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Large‐scale set partitioning problems: Some real‐world instances hide a beneficial structure

2006

In this paper we consider large‐scale set partitioning problems. Our main purpose is to show that real‐world set partitioning problems originating from the container‐trucking industry are easier to tackle in respect to general ones. We show such different behavior through computational experiments: in particular, we have applied both a heuristic algorithm and some exact solution approaches to real‐world instances as well as to benchmark instances from Beasley OR‐library. Moreover, in order to gain an insight into the structure of the real‐world instances, we have performed and evaluated various instance perturbations. Didelės matematinės aibės dalijimo problemų sprendimas, nagrinėjant reali…

Structure (mathematical logic)Mathematical optimizationLagrangian relaxationHF5001-6182real-world instancesEconomic growth development planningScale (descriptive set theory)set partitioningSet (abstract data type)symbols.namesakecontainer-trucking industryinstance perturbationsOR-libraryLagrangian relaxationHD72-88Benchmark (computing)symbolsBusinessFinanceMathematicsTechnological and Economic Development of Economy
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Failure Analysis of a Humeral Shaft Locking Compression Plate—Surface Investigation and Simulation by Finite Element Method

2019

A case study of a failed humeral shaft locking compression plate is presented, starting with a clinical case where failure occurred and an implant replacement was required. This study uses finite element method (FEM) in order to determine the failure modes for the clinical case. Four loading scenarios that simulate daily life activities were considered for determining the stress distribution in a humeral shaft locking compression plate (LCP). Referring to the simulation results, the failure analysis was performed on the explant. Using fracture surface investigation methods, stereomicroscopy and scanning electron microscopy (SEM), a mixed mode failure was determined. An initial fatigue failu…

Surface (mathematics)Materials scienceFractography02 engineering and technologyFEM simulationlcsh:TechnologyfractographyArticle03 medical and health sciences0302 clinical medicineGeneral Materials Sciencelcsh:Microscopylcsh:QC120-168.85030222 orthopedicsLCP failurelcsh:QH201-278.5business.industrylcsh:TStructural engineering021001 nanoscience & nanotechnologyCompression (physics)Finite element methodlcsh:TA1-2040Humeral shaftFracture (geology)fracture morphologylcsh:Descriptive and experimental mechanicsGallingImplantlcsh:Electrical engineering. Electronics. Nuclear engineering0210 nano-technologybusinesslcsh:Engineering (General). Civil engineering (General)lcsh:TK1-9971Materials
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Surface temperature and water vapour retrieval from MODIS data

2003

This paper gives operational algorithms for retrieving sea (SST), land surface temperature (LST) and total atmospheric water vapour content (W) using Moderate Resolution Imaging Spectroradiometer (MODIS) data. To this end, the MODTRAN 3.5 radiative transfer program was used to predict radiances for MODIS channels 31, 32, 2, 17, 18 and 19. To analyse atmospheric effects, a simulation with a set of radiosonde observations was used to cover the variability of surface temperature and water vapour concentration on a worldwide scale. These simulated data were split into two sets (DB1 and DB2), the first one (DB1) was used to fit the coefficients of the algorithms, while the second one (DB2) was u…

Surface (mathematics)MeteorologyMODTRANScale (descriptive set theory)Standard deviationlaw.inventionlawRadiative transferRadiosondeGeneral Earth and Planetary SciencesEnvironmental scienceModerate-resolution imaging spectroradiometerWater vaporRemote sensingInternational Journal of Remote Sensing
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Tree Singularities: Limits, Series and Stability

2013

A tree singularity is a surface singularity that consists of smooth components, glued along smooth curves in the pattern of a tree. Such singularities naturally occur as degenerations of certain rational surface singularities. To be more precise, they can be considered as limits of certain series of rational surface singularities with reduced fundamental cycle. We introduce a general class of limits, construct series deformations for them and prove a stability theorem stating that under the condition of finite dimensionality of T 2 the base space of a semi-universal deformation for members high in the series coincides up to smooth factor with the “base space of the limit”. The simplest tree…

Surface (mathematics)Tree (descriptive set theory)SingularitySeries (mathematics)Rational surfaceDeformation theoryMathematical analysisGravitational singularityLimit (mathematics)Mathematics
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