Search results for "SAMPLE"

showing 10 items of 2270 documents

What Makes People Nursing Home Residents: Individual Need or Municipalities’ Supply?

2016

In a context where admissions to nursing homes are strictly rationed we examine which individuals become nursing home residents. Rationing decisions are taken by municipalities. Using a national sample we estimate the impact on the rationing decision of individual characteristics and characteristics of the municipalities in which individuals live. High age, lack of self-care productivity and lack of cognitive ability have a positive impact on whether an individual is in a nursing home. By contrast, ample access to informal care has a substantial negative impact on the probability of residing in a nursing home. Men have a slightly lower incidence than women of living in a nursing home. Munic…

Lower incidenceNursingRationingContext (language use)Demographic economicsSample (statistics)BusinessNursing home residentNursing homesProductivity
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Strategies to develop radiomics and machine learning models for lung cancer stage and histology prediction using small data samples

2021

Abstract Predictive models based on radiomics and machine-learning (ML) need large and annotated datasets for training, often difficult to collect. We designed an operative pipeline for model training to exploit data already available to the scientific community. The aim of this work was to explore the capability of radiomic features in predicting tumor histology and stage in patients with non-small cell lung cancer (NSCLC). We analyzed the radiotherapy planning thoracic CT scans of a proprietary sample of 47 subjects (L-RT) and integrated this dataset with a publicly available set of 130 patients from the MAASTRO NSCLC collection (Lung1). We implemented intra- and inter-sample cross-valida…

Lung NeoplasmsComputer scienceBiophysicsGeneral Physics and AstronomySample (statistics)Cross validationMachine learningcomputer.software_genreCross validation; Machine learning; Non-small cell lung cancer; Radiomics; Humans; Lung; Machine Learning; Neoplasm Staging; Carcinoma Non-Small-Cell Lung; Lung NeoplasmsCross-validationSet (abstract data type)Machine LearningNon-small cell lung cancerCarcinoma Non-Small-Cell LungmedicineHumansRadiology Nuclear Medicine and imagingStage (cooking)Lung cancerNon-Small-Cell LungLungNeoplasm StagingSmall dataRadiomicsbusiness.industryCarcinomaGeneral Medicinemedicine.diseaseRandom forestSupport vector machineArtificial intelligencebusinesscomputer
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Global distributions of diazotrophs Gamma-A nifH genes abundance - Depth integrated values computed from a collection of source datasets - Contributi…

2013

The MAREDAT atlas covers 11 types of plankton, ranging in size from bacteria to jellyfish. Together, these plankton groups determine the health and productivity of the global ocean and play a vital role in the global carbon cycle. Working within a uniform and consistent spatial and depth grid (map) of the global ocean, the researchers compiled thousands and tens of thousands of data points to identify regions of plankton abundance and scarcity as well as areas of data abundance and scarcity. At many of the grid points, the MAREDAT team accomplished the difficult conversion from abundance (numbers of organisms) to biomass (carbon mass of organisms). The MAREDAT atlas provides an unprecedente…

M60/5SalinityChlorophyll aDiazotrophs total biomass as carbonUniform resource locator link to source data fileNitrateCTD/RosetteLatitude of eventNiskinM55 1Temperature waterCalothrix abundance expressed in number of nifH gene copiesratio expressed in mass of carbon per amount of nifH gene copiesCalculatedtop minUnicellular cyanobacteria-B biological trait ratio expressed in mass of carbon per amount of nifH gene copiesCD132biomass as carbonTrichodesmium biomass as carbonM55/1bottom maxCTD SeabirdTemperatureDepth top/minCTD RosetteSeabirdRichelia biological trait ratio expressed in mass of carbon per amount of nifH gene copiesCalothrixSO187 2Unicellular cyanobacteria-B abundance expressed in number of nifH gene copiesTrichodesmiumEarth System ResearchMARine Ecosystem Model Intercomparison Project MAREMIPDiazotrophsLongitude of eventRichelia associated speciesSample methodCalothrix biological trait ratio expressed in mass of carbon per amount of nifH gene copiesIronBottle NiskinwaterIn situ pumpMARine Ecosystem Model Intercomparison Project (MAREMIP)Unicellular cyanobacteria-C abundance expressed in number of nifH gene copiesPhosphateWater sampleSample commentUnicellular cyanobacteria biomassUniform resource locator/link to source data filetotal biomass as carbonHeterocyst biomassUnicellular cyanobacteriaProteobacteriaDate/Time of eventMeteor 1986Richelia abundance expressed in number of nifH gene copiesUnicellular cyanobacteria CUnicellular cyanobacteria Bbiological traitSO187/2RicheliaUnicellular cyanobacteria ADEPTH waterbiomassTrichodesmium abundance expressed in number of nifH gene copiesMeteor (1986)BottleDepthEvent labelDate Time of eventTrichodesmium biological trait ratio expressed in mass of carbon per amount of nifH gene copiesUnicellular cyanobacteria-C biological trait ratio expressed in mass of carbon per amount of nifH gene copiesMeasured at sea surfaceCTDCalothrix associated speciesCharles DarwinSonneabundance expressed in number of nifH gene copiesM60 5Depth bottom/maxUnicellular cyanobacteria-A abundance expressed in number of nifH gene copiesassociated speciesProteobacteria abundance expressed in number of nifH gene copiesHeterocyst
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MALDI-TOF mass spectrometry identification of filamentous fungi in the clinical laboratory.

2014

Pôle MERS F. Dalle; International audience; This study aimed to validate the effectiveness of a standardised procedure for the MALDI-TOF mass spectrometry (MS)-based identification on a large sample of filamentous fungi routinely identified in university hospitals' laboratories. Non-dermatophyte filamentous fungi prospectively isolated in the routine activity of five teaching hospitals in France were first identified by conventional methods in each laboratory and then by MS in one centre. DNA sequence-based identification resolved discrepancies between both methods. In this study, of the 625 analysed filamentous fungi of 58 species, 501 (80%) and 556 (89%) were correctly identified by conve…

MALDI-TOFDermatologyBiologyMicrobiologyIdentification rateHospitals UniversitySpecies identificationHumansProspective StudiesArthrodermataceaefilamentous fungiFungiRoutine laboratoryGeneral MedicineSequence Analysis DNAUniversity hospitalMALDI-TOF Mass SpectrometryLarge sampleInfectious DiseasesLogistic Models[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologySpectrometry Mass Matrix-Assisted Laser Desorption-IonizationidentificationIdentification (biology)Franceroutine laboratory
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A Multicentre Pilot Study of a Two-Tier Newborn Sickle Cell Disease Screening Procedure with a First Tier Based on a Fully Automated MALDI-TOF MS Pla…

2019

The reference methods used for sickle cell disease (SCD) screening usually include two analytical steps: a first tier for differentiating haemoglobin S (HbS) heterozygotes, HbS homozygotes and β-thalassemia from other samples, and a confirmatory second tier. Here, we evaluated a first-tier approach based on a fully automated matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) platform with automated sample processing, a laboratory information management system and NeoSickle® software for automatic data interpretation. A total of 6701 samples (with high proportions of phenotypes homozygous (FS) or heterozygous (FAS) for the inherited genes for sickle h…

MALDI-TOFPediatricsmedicine.medical_specialtythalassemia[SDV]Life Sciences [q-bio]Sample (statistics)01 natural sciencesArticle03 medical and health sciencesImmunology and Microbiology (miscellaneous)preventionmedicineDisease Screening Procedure030304 developmental biologymass spectrometry0303 health sciencesNewborn screeningbusiness.industryMALDI-TOF; sickle cell disease; newborn screening; mass spectrometry; thalassemia; preventionnewborn screening010401 analytical chemistrylcsh:RJ1-570Obstetrics and GynecologyData interpretationlcsh:Pediatrics0104 chemical sciencesMatrix-assisted laser desorption/ionizationFully automatedSickle haemoglobinPediatrics Perinatology and Child Healthsickle cell diseaseSample collectionbusinessInternational Journal of Neonatal Screening
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F-2-isoprostanes: review of analytical methods

2006

International audience; F2-isoprostanes (F2-isoPs) represent a new family of biomarkers for oxidative stress generated by free radical attack of membrane-bounded arachidonic acid. Esterified F2-isoPs can be found in tissue or plasma lipids whereas the free form F2-isoPs, hydrolyzed by phospholipase, is mainly present in body fluids. The extent of systematic damage due to oxidative stress within the body can be assessed by the determination of plasma or urine F2-isoPs. The determination of F2-isoPs in clinical practice is not often used due to the complexity to extract the compounds from their biologic matrixes before the analysis step. In most of published protocols, extraction procedure is…

MASS SPECTROMETRYIsoprostaneBiophysicsPharmaceutical ScienceMass spectrometry01 natural sciencesBiochemistryIMMUNOASSAYchemistry.chemical_compound[ CHIM.ORGA ] Chemical Sciences/Organic chemistryPlasma lipidsQUANTITATIVE ANALYSISNEUROPROSTANESample preparationComputingMilieux_MISCELLANEOUSChromatography010405 organic chemistryChemistry[CHIM.ORGA]Chemical Sciences/Organic chemistryL IPID PEROXIDATION010401 analytical chemistryExtraction (chemistry)[SDV.SP]Life Sciences [q-bio]/Pharmaceutical sciences[CHIM.ORGA] Chemical Sciences/Organic chemistry3. Good health0104 chemical sciencesClinical Practice[SDV.SP] Life Sciences [q-bio]/Pharmaceutical sciencesF2-IsoprostanesMolecular MedicineFree formISOPROSTANE
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From human to artificial mouth, from basics to results

2009

Papier publié également dans : Proceedings en ligne de American Institute of Physics http://proceedings.aip.org/dbt/dbt.jsp?KEY=APCPCS&Volume=1137&Issue=1 (RN 2508; Sensory perception of the flavor release during the eating of a food piece is highly dependent upon mouth parameters. Major limitations have been reported during in vivo flavor release studies, such as marked intra- and inter-individual variability. To overcome these limitations, a chewing simulator has been developed to mimic the human mastication of food samples. The device faithfully reproduces most of the functions of the human mouth. The active cell comprises several mobile parts that can accurately reproduce shear and comp…

MASS SPECTROMETRY[SPI.OTHER]Engineering Sciences [physics]/OtherAROMA[ SPI.OTHER ] Engineering Sciences [physics]/OtherArtificial mouthAnalytical chemistry02 engineering and technology01 natural sciencesMASTICATION0404 agricultural biotechnology0202 electrical engineering electronic engineering information engineeringMaterials ChemistryFood scienceElectrical and Electronic EngineeringInstrumentationMasticationFlavorRELEASEElectronic nose[SPI.OTHER] Engineering Sciences [physics]/OtherChemistryELECTRONIC NOSEdigestive oral and skin physiology010401 analytical chemistryMetals and Alloysfood and beverages020206 networking & telecommunicationsFood sample04 agricultural and veterinary sciencesFOOD BREAKDOWNequipment and suppliesCondensed Matter Physics040401 food science0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsHuman mouthSIMULATIONActive cell020201 artificial intelligence & image processingBiological systemSensors and Actuators B: Chemical
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Determination of organic and inorganic mercury species in water and sediment samples by HPLC on-line coupled with ICP-MS.

2009

This paper describes a preconcentration method for Hg(2+) and MeHg(+) in water samples using sodium diethyldithiocarbamate immobilized in polyurethane foam (PU-NaDDC) and an extraction method for several mercury species in sediment samples, including MeHg(+), EtHg(+) and PhHg(+), which is simple, rapid, and uses a single organic solvent. Separation and measurement were done by high-performance liquid chromatography on-line with inductively coupled plasma mass spectrometry (HPLC/ICP-MS). Initially, the test of recovery was applied using procedures compatible with HPLC. Under the optimum extraction conditions, recoveries of 96.7, 96.3 and 97.3% were obtained for MeHg(+), EtHg(+), and PhHg(+),…

MERCUREGeologic SedimentsOrganomercury Compoundschemistry.chemical_elementFresh WaterMass spectrometryHigh-performance liquid chromatographyMass SpectrometryAnalytical Chemistrychemistry.chemical_compoundRiversSample preparationSolid phase extractionInductively coupled plasma mass spectrometrySodium diethyldithiocarbamateChromatography High Pressure LiquidEthylmercury CompoundsChromatographyGeographyMercury CompoundsReproducibility of ResultsMethylmercury CompoundsPhenylmercury CompoundsMercury (element)chemistryLinear ModelsBrazilTalanta
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The EORTC computer-adaptive tests measuring physical functioning and fatigue exhibited high levels of measurement precision and efficiency

2013

Objectives: The European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group is developing a computer-adaptive test (CAT) version of the EORTC Quality of Life Questionnaire (QLQ-C30). We evaluated the measurement properties of the CAT versions of physical functioning (PF) and fatigue (FA) and compared these with the corresponding QLQ-C30 scales. Study Design and Setting: Based on international samples of more than 1,000 cancer patients, we simulated CAT administration of varying numbers of items and compared the resulting scores with those based on all items in the respective item pools. Furthermore, the relative validity (RV) of CATs was compared with that of th…

MESH: FatigueMaleEpidemiologyMESH: Aged 80 and over0302 clinical medicinePhysical functioningQuality of lifeNeoplasmsSurveys and QuestionnairesActivities of Daily LivingStatisticsMESH: NeoplasmsDiagnosis Computer-Assisted030212 general & internal medicineFatigueReliability (statistics)MathematicsMESH: AgedAged 80 and overMESH: Middle AgedMiddle Agedhumanities3. Good healthMESH: Reproducibility of ResultsLevel of measurementMESH: Young AdultData Interpretation Statistical030220 oncology & carcinogenesis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemaleAdultmedicine.medical_specialtyAdolescentMean squared errorSensitivity and SpecificityYoung Adult03 medical and health sciencesSDG 3 - Good Health and Well-beingotorhinolaryngologic diseasesmedicineHumansMESH: Surveys and QuestionnairesAgedMESH: AdolescentMESH: HumansMESH: Activities of Daily LivingMESH: Diagnosis Computer-AssistedMESH: Quality of LifeReproducibility of ResultsMESH: Adultsocial sciencesMESH: MaleMESH: Sensitivity and SpecificitySample size determinationQuality of LifePhysical therapy[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieComputerized adaptive testingMESH: Data Interpretation StatisticalMESH: FemaleRelative validity
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The effect of peer socioeconomic status on student achievement: a meta-analysis

2010

Previous studies on the effects on students’ test scores of their peers’ socioeconomic status (SES) have reported varying results. In order to understand why researchers have alternately found small effects, large effects, or no effects at all, a meta-regression analysis including an extensive database of 30 studies on the topic was conducted. Results show that the size of the compositional effect that researchers find is strongly related to how they measure SES and to their choice of model. Measuring SES dichotomously (e.g. free lunch eligibility) or including several average SES variables in one model leads to smaller effect estimates than using a thoroughly constructed composite that inc…

METIS-267269Meta-analysisStatisticsCohortCovariateEconometricsSample (statistics)Academic achievementPsychologySocial classSocioeconomic statusEducationTest (assessment)
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