Search results for "validation"

showing 10 items of 620 documents

Exporting a Google Earth™ aided earthflow susceptibility model: a test in central Sicily

2012

Abstract In the framework of a regional landslide susceptibility study in southern Sicily, a test has been carried out in the Tumarrano river basin (about 80 km2) aimed at characterizing its landslide susceptibility conditions by exporting a ‘‘source model’’, defined and trained inside a limited (about 20 km2) representative sector (the ‘‘source area’’). Also, the possibility of exploiting Google Earth TM software and photo-images databank to produce the landslide archives has been checked. The susceptibility model was defined, according to a multivariate geostatistic approach based on the conditional analysis, using unique condition units (UCUs), which were obtained by combining four selec…

Landslide susceptibility Exportation of models Google EarthTM ValidationSettore GEO/04 - Geografia Fisica E GeomorfologiaSettore GEO/05 - Geologia Applicata
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Assessing leadership styles: a contribution to the Italian validation of the Leadership Judgement Indicator (LJI)

2009

Leadership Validation
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Determinación del colesterol en leche humana: una alternativa a los métodos cromatográficos

2015

Introduction: human milk (HM) is considered the best option for feeding healthy infants. Cholesterol (CHOL) is important for proper development of the nervous system, and for hormone and vitamin synthesis in growing infants. Breastfeeding and dietary CHOL intake during infancy have been suggested to affect blood lipid levels and the risk of cardiovascular disease in adulthood. Gas chromatography is the technique most widely used to determine CHOL in HM. Chromatographic methods are specific for the determination of CHOL and other sterols present in HM, but are extremely time consuming, and the costs and equipment requirements mean that they are not accessible to all laboratories. Aim: the pr…

Leche humanaCholesterol determinationValidaciónMétodo enzimático-espectrofotométricoDeterminación de colesterolHuman milkValidationEnzymatic-spectrophotometric method
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High Performance Liquid Chromatografy-Mass Spectrometry based chemometric characterization of olive oils

2005

In this study the effective discrimination of extra virgin olive oils is described using HPLC-MS, combined with chemometric evaluation. The presented method is simple since the diluted oil sample is directly injected into the system, without any preliminary chemical derivatization or purification step. Separation of diacylglycerols, triacylglycerols and sterols occurs within 20 min and is achieved using an octadecyl-silica column. Detection is performed by positive APCI mass spectrometry which provided sensitivity to detect over 50 compounds in the sample. After extraction of data, stepwise discriminant function analysis is used to select the variables with the highest discriminative power.…

Linear discriminant analysiAnalytical chemistryAtmospheric-pressure chemical ionizationCross validationMass spectrometrySensitivity and SpecificityBiochemistryHigh-performance liquid chromatographyMass SpectrometryAnalytical ChemistryDiglyceridesChemometricschemistry.chemical_compoundLiquid chromatography–mass spectrometryPlant OilsDerivatizationChromatography High Pressure LiquidTriglyceridesChromatographyOrganic ChemistryOil cultivarDiscriminant AnalysisPhytosterolsReproducibility of ResultsGeneral MedicineLinear discriminant analysisHPLC–MSVegetable oilchemistryOlive oil
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The Translation and Interpreting Competence Questionnaire: an online tool for research on translators and interpreters

2019

Despite the growth of research on translation and interpreting, measures of competence in such activities typically stem from informal, non-validated instruments. This scenario casts doubts on the ...

Linguistics and LanguageMedical educationStatistical validation05 social sciencesQualitative propertySelf report questionnairecomputer.software_genre050105 experimental psychology03 medical and health sciences0302 clinical medicine0501 psychology and cognitive sciencesPsychologycomputerCompetence (human resources)030217 neurology & neurosurgeryInterpreterPerspectives
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Accounting for haplotype phase uncertainty in linkage disequilibrium estimation

2007

The characterization of linkage disequilibrium (LD) is applied in a variety of studies including the identification of molecular determinants of the local recombination rate, the migration and population history of populations, and the role of positive selection in adaptation. LD suffers from the phase uncertainty of the haplotypes used in its calculation, which reflects limitations of the algorithms used for haplotype estimation. We introduce a LD calculation method, which deals with phase uncertainty by weighting all possible haplotype pairs according to their estimated probabilities as evaluated by PHASE. In contrast to the expectation-maximization (EM) algorithm as implemented in the HA…

Linkage disequilibriumGenotypeEpidemiologyPopulationValidation Studies as TopicPolymorphism Single NucleotideLinkage DisequilibriumGene FrequencyExpectation–maximization algorithmHumansComputer SimulationeducationGenetics (clinical)Genetic associationMathematicsGeneticseducation.field_of_studyModels GeneticHaplotypeComputational BiologyContrast (statistics)WeightingHaplotypesHaplotype estimationAlgorithmSoftwareGenetic Epidemiology
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Liquid chromatography in pharmaceutical analytics

2017

Tutkielmassa perehdytään nestekromatografian käyttöön lääkeaineanalytiikassa. Korkean erotuskyvyn nestekromatografia (HPLC) on suosittu menetelmä lääkeaineiden analysoinneissa, esimerkiksi pitoisuuksien tai epäpuhtauksien määrityksissä. HPLC-menetelmät voidaan luokitella useisiin alalajeihin ja käänteisfaasinestekromatografia (RP-HPLC) on niistä suosituin lääkeaineanalytiikassa. Tässä kirjallisuuskatsauksessa käsitellään erityisesti nopeaa nestekromatografiaa. Analyysimenetelmiä voidaan nopeuttaa sopivan kolonnin avulla. Tavanomainen HPLC-ajo on mahdollista toteuttaa lyhyemmässä ajassa käyttämällä lyhyttä kolonnia tai kolonnia, jossa partikkelikoko on pieni. Kuitenkin tehokkain tapa on käyt…

Liquid ChromatographyDrug AnalysisMethod ValidationlääkekemiaColumnDetectorlääkeaineetnestekromatografiaHigh Performance Liquid Chromatography
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Transcatheter arterial chemoembolization therapy for patients with hepatocellular carcinoma: a case-controlled study.

2005

Background & Aims: Transcatheter arterial chemoembolization (TACE) currently is used as a palliative treatment for patients with unresectable hepatocellular carcinoma (HCC), but its efficacy still is debated. Our aim was to assess the impact of TACE on patient survival and to identify prognostic factors for survival. Methods: Fifty-six cirrhotic patients with unresectable HCC undergoing at least :1 course of TACE were matched 1:1. for sex, age (in 5-year periods), parameters of Child-Pugh score, Okuda stage, and tumor type with a control group who had received only supportive care. Results: The 2 groups were comparable for cause of cirrhosis, alpha-fetoprotein serum levels, and Cancer of th…

Liver CirrhosisMaleCirrhosisTime FactorsPrognostic systemGastroenterologyOily chemoembolizationHepatic ArteryCause of DeathAscitesValidationMedicineStage (cooking)CIRRHOSISUnivariate analysisAntibiotics AntineoplasticLiver NeoplasmsGastroenterologyLiver-TransplantationMiddle AgedHEPATOCELLULAR CARCINOMA; CIRRHOSIS; TRANSCATHETER ARTERIAL CHEMOEMBOLIZATION; SURVIVAL; SIDE EFFECTSPrognosisTreatment OutcomeItalyRandomized controlled trialHepatocellular carcinomaSURVIVALFemalemedicine.symptommedicine.medical_specialtyCarcinoma HepatocellularMultivariate-analysiTransarterial chemoembolizationInternal medicineSIDE EFFECTSCarcinomaHumansHEPATOCELLULAR CARCINOMAChemoembolization TherapeuticTranscatheter arterial chemoembolizationSurvival analysisAgedEpirubicinNeoplasm StagingCirrhosiHepatologybusiness.industrymedicine.diseaseSurvival AnalysisSurgeryLipiodol chemoembolizationTRANSCATHETER ARTERIAL CHEMOEMBOLIZATIONCase-Control StudiesMultivariate AnalysisbusinessFollow-Up StudiesClinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
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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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Rapid Evaluation of Oxidized Fatty Acid Concentration in Virgin Olive Oils Using Metal Oxide Semiconductor Sensors and Multiple Linear Regression

2009

This works aims to set up a rapid and nondestructive method to evaluate the advanced oxidation of virgin olive oils (VOOs). An electronic nose based on an array of six metal oxide semiconductor sensors was used, jointly with multiple linear regression (MLR), to predict the oxidized fatty acid (OFA) concentration in VOO samples characterized by different oxidative status. An MLR model constructed using five predictors was able to predict OFA concentration with an average validation error of 9%.

MULTIPLE LINEAR REGRESSIONBiosensing TechniquesVIRGIN OLIVE OILMetalOxide semiconductorVIRGIN OLIVE OILSMETAL OXIDE SEMICONDUCTOR SENSORSLinear regressionPlant OilsOrganic chemistryValidation errorOlive Oilchemistry.chemical_classificationChromatographyElectronic noseOXIDATIVE STATUSFatty AcidsELECTRONIC NOSEFatty acidOxidesGeneral ChemistryOXIDIZED FATTY ACIDSVegetable oilSemiconductorschemistryvisual_artLinear Modelsvisual_art.visual_art_mediumGeneral Agricultural and Biological SciencesOxidation-ReductionOlive oil
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