Search results for " BIA"

showing 10 items of 529 documents

REPORTING HETEROGENEITY IN SUBJECTIVE HEALTH MEASURES: AN EXTENDED LATENT CLASS APPROACH

2009

Self-assessed health Self-reporting bias Biomarkers Latent Class Analysis.
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Gender discrimination in physics and astronomy: Graduate student experiences of sexism and gender microaggressions

2016

[This paper is part of the Focused Collection on Gender in Physics.] Sexism occurs when men are believed to be superior to women, and is thought to be one of the reasons for women’s underrepresentation in physics and astronomy. The issue of sexism in physics and astronomy has not been thoroughly explored in the physics education literature and there is currently no clear language for discussing sexism in the field. This article seeks to begin a conversation on sexism in physics and astronomy and offer a starting point for language to discuss sexism in research groups and departments. Interviews with 21 women in graduate physics and astronomy programs are analyzed for their individual experi…

Semi-structured interviewGender discriminationseksismiQC1-999General Physics and Astronomy050109 social psychologygraduate programsScience educationEducationMathematics educationGender biasmedicineta5160501 psychology and cognitive sciencesgender discriminationphysics and astronomyLC8-6691AggressionPhysics05 social sciences050301 educationAstronomySpecial aspects of educationGraduate studentsmicroaggressionsInterview studysexismmedicine.symptomPsychology0503 educationPhysical Review Physics Education Research
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Malas noticias y calidad de la reputación entre usuarios de los servicios públicos

2018

ABSTRACT This manuscript examines whether the effect of anchoring bias is greater when citizens evaluate the quality of a public service after receiving negative initial information about service performance than after receiving positive information. It also tests whether there are differences in this anchoring bias by comparing formal (report) vs. informal (rumor) communication. Two field experiments were conducted with the participation of passengers of a commuter public train transportation organization (Experiment 1, N = 105) and users of a public university administrative service (Experiment 2, N = 172). The first experiment confirmed the bias produced by the negative initial informati…

Sesgo de anclajePublic servicesSesgo de negatividadNegativity biasCommunicationReputaciónAnchoring biasComunicaciónServicios públicosReputation
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Effetti sulla shelf-life e sulla qualità dei frutti di Nespolo del Giappone (Eriobotrya japonica Lindl.) sottoposti a frigoconservazione e trattament…

2014

Settore AGR/03 - Arboricoltura Generale E Coltivazioni Arboreenespole a polpa bianca metilciclopropene post-raccolta
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Europäische Wälder unter wärmeren Klimabedingungen: neue Erkenntnisse aus Paläoökologie und dynamischer Vegetationsmodellierung.

2016

Die Paläoökologie liefert wertvolle Erkenntnisse zur Langzeitöko-logie von Arten. Die Datenreihen (z. B. Pollen aus Seeablagerungen) umfassen Jahrhunderte bis Jahrtausende und er-gänzen somit kürzere Zeitreihen aus Experimenten und Beobachtungen zur Untersuchung von Klimareaktionen. Sie können zudem dazu gebraucht wer-den, dynamische Vegetationsmodelle in vergangenen Zeitabschnitten mit hoher Varia bilität von Klima und Landnutzung zu überprüfen. Solche Modelle liefern überraschende und verlässliche Voraus-sagen künftiger Waldveränderungen, die allein aus der heutigen Verbreitung der Arten nicht ableitbar sind.

Settore AGR/05 - Assestamento Forestale E SelvicolturaPaleoclima Abete bianco leccio cambiamenti climatici
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Propagation of precipitation measurement biases into the hydraulic modelling of urban drainage systems: a case study

2021

Precipitation is the primary source of freshwater, while it can have great socio-economical impacts associated with extreme weather events such as floods and droughts. Good quality hydro-meteorological data is an essential condition not only for climate analysis but also for warning systems, hydraulic structures design, risk assessment, etc. In fact, precipitation is one of the most intensively used variables in hydrological modelling and its measurement accuracy is of foremost importance (Peterson et al., 1998). Accurate and timely knowledge of precipitation characteristics at urban and natural basins scales is essential for understanding how different catchment hydrological systems operat…

Settore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologiahydraulic modellingurban drainage networkPrecipitation Measurement Biase
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Strength and ductility of confined concrete columns under axial load and biaxial bending

2012

The behaviour of prismatic reinforced concrete columns under increasing eccentric compression load was experimentally investigated and analytically modelled. Columns with distributed longitudinal reinforcement and closely spaced transverse reinforcement were tested up to failure, considering different values and directions of eccentricity. Preliminary tests were carried out under concentric compression in order to validate the choice of the stress-strain laws adopted for the confined concrete and the longitudinal steel bars in compression. In the paper, closed form expressions able to approximate the experimental results in the case of uniaxial bending are presented. Finally, a fibre numeri…

Settore ICAR/09 - Tecnica Delle CostruzioniConfined concrete; Biaxial bending; Analytical model; Experimental testsBiaxial bendingAnalytical modelExperimental testsConfined concrete Biaxial bending Analytical model Experimental testsConfined concrete
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Segmentation of MR brain images with bias artifact

2009

Brain MR Images corrupted by RF- Inhomogeneity (bias artifact) exhibit brightness variations across the image. As a consequence, a standard Fuzzy C-Means (fern) segmentation algorithm may fail. In this work we show a new general-purpose bias removing algorithm, which can be used as a pre-processing step for a fern segmentation. We also compare our experimental results with the ones achieved by using E2 D - H U M filter, showing an improvement in brain segmentation and bias removal.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniArtifact (error)Computer sciencebusiness.industryLow-pass filterScale-space segmentationPattern recognitionFilter (signal processing)Image segmentationMedical imagingBrain segmentationRF-Inhomogeneity bias segmentation Halo MRlComputer visionSegmentationArtificial intelligencebusiness
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A Gabor-based Technique for Bias Removal in MR images

2007

Magnetic Resonance images are often characterized by irregularly displaced luminance fluctuations that are called bias artifact. This disturb is due to a drop in signal intensity caused by the distance between imaged sample and receiver coil. An original approach to bias removal in Magnetic Resonance images is presented, which is based on the use of Gabor filter to extract the artifact. The proposed technique restores the image using a correction model, which is derived from the attenuation of signal diffusion across the tissues. No hypotheses are made about the structure of the tissues under investigation and the used MR spectrum. The approach is presented in detail, and extensive experime…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniArtifact (error)rf-inhomogeneity bias artifact mribusiness.industryAttenuationFeature extractionReproducibility of ResultsSignal Processing Computer-AssistedImage EnhancementMagnetic Resonance ImagingSensitivity and SpecificitySignalSample (graphics)LuminanceGabor filterImage Interpretation Computer-AssistedComputer visionArtificial intelligenceArtifactsbusinessAlgorithmsImage restorationMathematics
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Morphological exponential entropy driven-HUM.

2006

This paper presents an improvement to the Ex- ponential Entropy Driven - Homomorphic Unsharp Masking (E 2 D − HUM ) algorithm devoted to illumination artifact sup- pression on Magnetic Resonance Images. E 2 D−HUM requires a segmentation step to remove dark regions in the foreground whose intensity is comparable with background, because strong edges produce streak artifacts on the tissues. This new version of the algorithm keeps the same good properties of E 2 D − HUM without a segmentation phase, whose parameters should be chosen in relation to the image. I. INTRODUCTION Most of the studies on illumination correction found in literature are oriented to brain (18) magnetic resonance images (…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniPolynomialArtifact (error)Brain MappingMRI rf-inhomogeneity homomorphic unsharp masking bias artifactbusiness.industryEntropyModels NeurologicalStreakBrainImage segmentationInformation theoryExpectation–maximization algorithmImage Processing Computer-AssistedHumansComputer visionSegmentationArtificial intelligencebusinessArtifactsAlgorithmAlgorithmsUnsharp maskingMathematics
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