Search results for "Ears"

showing 10 items of 437 documents

Registration of childhood cancer: Moving towards pan-European coverage?

2015

Cancer is relatively rare in childhood, but it contributes considerably to childhood mortality, years of life lost per person and late effects in survivors. Large populations need to be covered to set up meaningful studies of these rare conditions. Cancer registries ensure cancer surveillance, thus providing the basis for research as well as policy decisions. In this paper we examine coverage of childhood population by cancer registries in Europe and encourage national cancer registration. Over 200 cancer registries in various stages of development were identified as collecting data on childhood cancer patients in Europe. They cover 52% of the childhood population in the World Health Organi…

Cancer ResearchPediatricsmedicine.medical_specialtyAdolescentChildhood cancerPopulation610 Medicine & healthWorld Health OrganizationNeoplasmsEnvironmental healthHumansMedicinemedia_common.cataloged_instance1306 Cancer ResearchEuropean UnionRegistriesAge of OnsetEuropean unionChildeducationmedia_commoneducation.field_of_studyData collectionbusiness.industryIncidence (epidemiology)Infant NewbornInfantCancer10060 Epidemiology Biostatistics and Prevention Institute (EBPI)medicine.diseaseEuropeYears of potential life lostOncologyChild PreschoolData qualityPractice Guidelines as Topic2730 OncologybusinessEuropean Journal of Cancer
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Particularismes i populismes als països de llengua catalana

2020

[cat] L'article analitza breument l'ampla varietat de conceptes de populisme en la política actual. Aquesta anàlisi intenta mostrar com el populisme ha donat suport als particularismes lingüístics a València i a Mallorca. Aquests particularismes (anomenats blaverisme a València, i gonellisme a Mallorca) no reconeixen la unitat de la comunitat lingüística catalana, i per tant amenacen la recuperació social (normalització) de la llengua catalana.

Catalan languageValencian CommunityPopulismParticularismeStandard languagei gonellisme a Mallorca) no reconeixen la unitat de la comunitat lingüística catalanaPaís ValenciàEmili L?article analitza breument l?ampla varietat de conceptes de populisme en la política actual. Aquesta anàlisi intenta mostrar com el populisme ha donat suport als particularismes lingüístics a València i a Mallorca. Aquests particularismes ( anomenats blaverisme a València:SOCIOLOGÍA [UNESCO]Secessionlinguistic particularism 285 296Mallorca (Illes Balears)Catalani per tant amenacen la recuperació social (normalització) de la llengua catalana CatalanCatalàLlengua estàndard1137-7038 8537 Arxius de sociologia 562372 2020 42 7674047 Particularismes i populismes als països de llengua catalana BoixUNESCO::SOCIOLOGÍASecessióValenciaMajorca (Balearic Islands)Populisme
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The Translation Scene in Latvia (Latvian SSR) during the Stalinist Years

2018

[full article, abstract in English; abstract in Lithuanian] In this paper the author continues to explore the translation scene in 20th century Latvia (Veisbergs 2016a). The period under discussion covers 1945–1953, the years of Stalin’s rule after WWII until his death in 1953. The translation situation is described by discussing nationalisation and centralisation of publishers, book liquidation, censorship, ideologisation and politicisation, russification, Latvian émigré translations and other aspects of importance in an attempt to present the translation scene of the period from different angles. At the end of the article an extensive list of references is provided that can serve as an in…

CentralisationHistoryLatvian translationmedia_common.quotation_subjectÉmigrébook liquidation050602 political science & public administrationRussificationmedia_common05 social sciencesWorld War IIlcsh:Translating and interpretingCensorship050301 educationLatvianGeneral MedicineLithuanianlcsh:P306-310language.human_language0506 political sciencelanguagecensorshiptranslation during Stalinist years0503 educationClassicsPeriod (music)Vertimo Studijos
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Validity and reliability of Veloflex to measure active cervical range of motion in asymptomatic and symptomatic subjects

2021

Background Neck pain has a high annual incidence and decreases the cervical active range of motion (ROM). Clinicians use various methods to evaluate cervical range of motion (CROM) that some of them have also been proposed to give instant feedback. Accordingly, this study aimed to examine the validity and reliability of Veloflex (VF) to measure the CROM by comparison with the cervical range of motion (CROM) device, and to examine their test-retest reliability. Methods Thirty-eight healthy and 20 symptomatic participants were evaluated. Cervical flexion-extension, side bending, and rotations were tested in two sessions, first by the CROM and VF and in the second only with the VF. To evaluat…

Cervical range of motionDrugs and Devices030506 rehabilitationmedicine.medical_specialtyAnatomy and PhysiologyConcurrent validityValidity/reliabilitylcsh:MedicineValidityAsymptomaticGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencessymbols.namesake0302 clinical medicinePhysical medicine and rehabilitationMedicineRange of motionAnesthesiology and Pain ManagementOptoelectronic deviceReliability (statistics)business.industryGeneral Neurosciencelcsh:RGeneral MedicineKinesiologyPearson product-moment correlation coefficientOrthopedicsStandard errorsymbolsCervicalmedicine.symptom0305 other medical scienceGeneral Agricultural and Biological SciencesRange of motionbusiness030217 neurology & neurosurgeryPeerJ
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Distance Functions, Clustering Algorithms and Microarray Data Analysis

2010

Distance functions are a fundamental ingredient of classification and clustering procedures, and this holds true also in the particular case of microarray data. In the general data mining and classification literature, functions such as Euclidean distance or Pearson correlation have gained their status of de facto standards thanks to a considerable amount of experimental validation. For microarray data, the issue of which distance function works best has been investigated, but no final conclusion has been reached. The aim of this extended abstract is to shed further light on that issue. Indeed, we present an experimental study, involving several distances, assessing (a) their intrinsic sepa…

Clustering high-dimensional dataFuzzy clusteringSettore INF/01 - Informaticabusiness.industryCorrelation clusteringMachine learningcomputer.software_genrePearson product-moment correlation coefficientRanking (information retrieval)Euclidean distancesymbols.namesakeClustering distance measuressymbolsArtificial intelligenceData miningbusinessCluster analysiscomputerMathematicsDe facto standard
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Las costas rocosas del Migjorn de Menorca: acantilados y calas

2017

[spa]La zona meridional de Menorca (Migjorn) se caracteriza por ser una plataforma carbonatada desarrollada en un ambiente arrecifal durante el Mioceno superior. Está surcada por una serie de cursos torrenciales fuertemente encajados que en su desembocadura al mar dan lugar a una forma de bahía denominada “cala” que está delimitada por paredes de elevada pendiente. La fracturación y la diaclasación penetrativa que afecta a la alternancia de materiales calcareníticos y calcisiltiticos miocenos, junto con la distribución de éstos, es el principal factor que condiciona el trazado de los cursos fluviales, así como el desarrollo de los procesos de tipo kárstico asociados a la circulaci…

Coasts Spain MinorcaCoasts -- Spain -- Illes Balears -- MinorcaPaleontology -- MioceneNatural History
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Using Aerial Platforms in Predicting Water Quality Parameters from Hyperspectral Imaging Data with Deep Neural Networks

2020

In near future it is assumable that automated unmanned aerial platforms are coming more common. There are visions that transportation of different goods would be done with large planes, which can handle over 1000 kg payloads. While these planes are used for transportation they could similarly be used for remote sensing applications by adding sensors to the planes. Hyperspectral imagers are one this kind of sensor types. There is need for the efficient methods to interpret hyperspectral data to the wanted water quality parameters. In this work we survey the performance of neural networks in the prediction of water quality parameters from remotely sensed hyperspectral data in freshwater basin…

Coefficient of determinationArtificial neural networkRemote sensing applicationvesien tilaspektrikuvausHyperspectral imagingneuroverkotvedenlaatuConvolutional neural networkwater qualityPearson product-moment correlation coefficientsymbols.namesakeremote sensinghyperspectralilmakuvakartoitusMultilayer perceptronconvolutional neural networkssymbolsEnvironmental scienceWater qualitykaukokartoitusRemote sensing
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Parenting Stress in Families of Children with Autism Spectrum Disorder and ADHD

2015

The purpose of this study was to compare the parenting stress experienced by parents of 121 children from 5 to 9 years old with autism spectrum disorder (ASD), attention deficit/hyperactivity disorder (ADHD), comorbid ASD+ADHD, and typical development in different domains related to child and parent characteristics using the Parenting Stress Index. The three clinical groups presented greater perceived parenting stress than did the comparison group (CG). The ADHD group obtained higher levels of parenting stress related to attachment and depression than did the other groups. The ASD+ADHD group presented a unique profile of differences from the CG on Health and Spouse subscales. Results highl…

Comparison Group (CG)Health and Spouse subscalesAttention Deficit/hyperactivity Disorder (ADHD)Parenting stressmedicine.diseaseChildren from 5 to 9 years oldComorbiditybehavioral disciplines and activitiesEducationDevelopmental psychologyAutism Spectrum Disorder (ASD)Parenting stressSpouseAutism spectrum disorderIntervention (counseling)mental disordersDevelopmental and Educational PsychologymedicineAttention deficit hyperactivity disorderAutismPsychologyDepression (differential diagnoses)Clinical psychology
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Automatic left ventricle volume calculation with explainability through a deep learning weak-supervision methodology

2021

[EN] Background and objective: Magnetic resonance imaging is the most reliable imaging technique to assess the heart. More specifically there is great importance in the analysis of the left ventricle, as the main pathologies directly affect this region. In order to characterize the left ventricle, it is necessary to extract its volume. In this work we present a neural network architecture that is capable of directly estimating the left ventricle volume in short axis cine Magnetic Resonance Imaging in the end-diastolic frame and provide a segmentation of the region which is the basis of the volume calculation, thus offering explain-ability to the estimated value. Methods: The network was des…

Computer scienceHeart VentriclesMagnetic Resonance Imaging CineHealth InformaticsWeak supervisionTECNOLOGIA ELECTRONICAsymbols.namesakeMagnetic resonance imagingSegmentationApproximation errorImage Processing Computer-AssistedHumansSegmentationBasis (linear algebra)Artificial neural networkbusiness.industryDeep learningPattern recognitionHeartDeep learningLeft ventricleExplainabilityPearson product-moment correlation coefficientComputer Science ApplicationsTest setsymbolsArtificial intelligenceNeural Networks ComputerbusinessSoftwareVolume (compression)
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A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data …

2013

Abstract Background Clustering is one of the most well known activities in scientific investigation and the object of research in many disciplines, ranging from statistics to computer science. Following Handl et al., it can be summarized as a three step process: (1) choice of a distance function; (2) choice of a clustering algorithm; (3) choice of a validation method. Although such a purist approach to clustering is hardly seen in many areas of science, genomic data require that level of attention, if inferences made from cluster analysis have to be of some relevance to biomedical research. Results A procedure is proposed for the assessment of the discriminative ability of a distance functi…

Computer sciencecomputer.software_genreBiochemistrysymbols.namesakeDiscriminative modelStructural BiologyCluster AnalysisRelevance (information retrieval)Cluster analysisMolecular BiologyOligonucleotide Array Sequence AnalysisClustering discriminative ability of a distance function external validation indicesSettore INF/01 - InformaticaResearchApplied MathematicsMutual informationPearson product-moment correlation coefficientComputer Science ApplicationsHierarchical clusteringEuclidean distanceRange (mathematics)Metric (mathematics)symbolsData miningTranscriptomecomputerAlgorithmsBMC Bioinformatics
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