Search results for " trees"

showing 10 items of 214 documents

Modelling landscape constraints on farmland bird species range shifts under climate change

2018

Several studies estimating the effects of global environmental change on biodiversity are focused on climate change. Yet, non-climatic factors such as changes in land cover can also be of paramount importance. This may be particularly important for habitat specialists associated with human-dominated landscapes, where land cover and climate changes may be largely decoupled. Here, we tested this idea by modelling the influence of climate, landscape composition and pattern, on the predicted future (2021–2050) distributions of 21 farmland bird species in the Iberian Peninsula, using boosted regression trees and 10-km resolution presence/absence data. We also evaluated whether habitat specialist…

0106 biological sciencesmallintaminenEnvironmental Engineering010504 meteorology & atmospheric sciencesEnvironmental changeclimate changesBoosting regression treesClimate ChangeSpecies distributionta1172BiodiversityClimate changemodelling (creation related to information)ConservationGeneralist and specialist species010603 evolutionary biology01 natural sciencesmaisemaBirdsEnvironmental ChemistryAnimalsSpecialist and generalist speciesGlobal change scenariosWaste Management and DisposalEcosystem0105 earth and related environmental sciencesbiodiversityFarmland birdsEcologySpecies diversityBiodiversityilmastonmuutoksetlandscapePollutionbiodiversiteettiGeographyHabitatSpainbirdsEnvironmental envelope modelsta1181linnutSpecies richnessEnvironmental Monitoring
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The predictive value of microbiological findings on teeth, internal and external implant portions in clinical decision making

2017

International audience; Aim: The primary aim of this study was to evaluate 23 pathogens associated with peri-implantitis at inner part of implant connections, in peri-implant and periodontal pockets between patients suffering peri-implantitis and participants with healthy peri-implant tissues; the secondary aim was to estimate the predictive value of microbiological profile in patients wearing dental implants using data mining methods.Material and Methods: Fifty participants included in the present case─control study were scheduled for collection of plaque samples from the peri-implant pockets, internal connection, and periodontal pocket. Real-time polymerase chain reaction was performed to…

0301 basic medicineMalePeri-implantitisGingival and periodontal pocketAlveolar Bone LossDentistry0302 clinical medicineRadiography DentalMedicinePeri-implantitisperiodontitis[SDV.MHEP.RSOA] Life Sciences [q-bio]/Human health and pathology/Rhumatology and musculoskeletal system[SDV.MHEP.GEG] Life Sciences [q-bio]/Human health and pathology/Geriatry and gerontology[SDV.MHEP.GEG]Life Sciences [q-bio]/Human health and pathology/Geriatry and gerontologyMiddle AgedPredictive value3. Good healthDental Implantation[SDV.MHEP.RSOA]Life Sciences [q-bio]/Human health and pathology/Rhumatology and musculoskeletal systemFemaleOral SurgeryInfectionperi-implantitisAdultDecision treesClinical Decision-MakingDental PlaqueDental plaqueReal-Time Polymerase Chain Reaction03 medical and health sciencesHumansPeriodontal PocketPeriodontitisParvimonas micraData miningAgedPeriodontitisDental Implantsdecision treesbusiness.industryCase-control studydata mining; decision trees; infection; peri-implantitis; periodontitis030206 dentistrydata miningmedicine.diseaseinfection030104 developmental biologyCase-Control StudiesImplantbusinessTooth
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A Simple Method to Predict Blood-Brain Barrier Permeability of Drug- Like Compounds Using Classification Trees

2017

Background: To know the ability of a compound to penetrate the blood-brain barrier (BBB) is a challenging task; despite the numerous efforts realized to predict/measure BBB passage, they still have several drawbacks. Methods: The prediction of the permeability through the BBB is carried out using classification trees. A large data set of 497 compounds (recently published) is selected to develop the tree model. Results: The best model shows an accuracy higher than 87.6% for training set; the model was also validated using 10-fold cross-validation procedure and through a test set achieving accuracy values of 86.1% and 87.9%, correspondingly. We give a brief explanation, in structural terms, o…

0301 basic medicineQuantitative structure–activity relationshipComputer scienceDatasets as TopicQuantitative Structure-Activity Relationshipcomputer.software_genre01 natural sciencesPermeability03 medical and health sciencesMolecular descriptorDrug DiscoveryInternational literatureComputer SimulationTraining setDecision tree learningDecision Trees0104 chemical sciences010404 medicinal & biomolecular chemistry030104 developmental biologyPharmaceutical PreparationsBlood-Brain BarrierTest setData miningBlood brain barrier permeabilitycomputerAlgorithmsDecision tree modelMedicinal Chemistry
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Do next-generation sequencing results drive diagnostic and therapeutic decisions in MDS?

2019

Este artículo se encuentra disponible en la siguiente URL: https://ashpublications.org/bloodadvances/article/3/21/3454/422749/Do-next-generation-sequencing-results-drive

0301 basic medicineSíndromes mielodisplásicos - Aspectos moleculares.Clinical Decision-MakingMEDLINEComputational biologyDNA sequencing03 medical and health sciences0302 clinical medicineText miningHumansMedicineGenetic Predisposition to DiseaseSangre - Células - Aspectos moleculares.Molecular Targeted TherapyGenes.Genetic Association StudiesBlood cells - Molecular aspects.business.industryDecision TreesDisease ManagementHigh-Throughput Nucleotide SequencingGenomicsHematologyPrognosisCombined Modality TherapyMyelodysplastic syndrome - Molecular aspects.030104 developmental biologyMyelodysplastic Syndromes030220 oncology & carcinogenesisMutationPoint-CounterpointMolecular biology.Biología molecular.businessBiomarkersBlood Advances
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Phenolic Compounds in Extra Virgin Olive Oil Stimulate Human Osteoblastic Cell Proliferation.

2016

In this study, we aimed to clarify the effects of phenolic compounds and extracts from different extra virgin olive oil (EVOO) varieties obtained from fruits of different ripening stages on osteoblast cells (MG-63) proliferation. Cell proliferation was increased by hydroxytyrosol, luteolin, apigenin, p-coumaric, caffeic, and ferulic acids by approximately 11-16%, as compared with controls that were treated with one vehicle alone, while (+)-pinoresinol, oleuropein, sinapic, vanillic acid and derivative (vanillin) did not affect cell proliferation. All phenolic extracts stimulated MG-63 cell growth, and they induced higher cell proliferation rates than individual compounds. The most effective…

0301 basic medicineTime Factorslcsh:MedicineBiochemistryMass SpectrometryTreeschemistry.chemical_compoundAnimal CellsPlant ProductsMedicine and Health SciencesCaffeic acidApigeninlcsh:ScienceLuteolinChromatography High Pressure LiquidConnective Tissue CellsCultured Tumor CellsPrincipal Component AnalysisMultidisciplinaryAgricultureCell DifferentiationRipeningPlantsPhenylethyl AlcoholLipidsOsteoblast DifferentiationChemistryBiochemistryCell ProcessesConnective TissuePhysical SciencesApigeninBiological CulturesCellular TypesAnatomyResearch ArticleOlive TreesCoumaric AcidsResearch and Analysis MethodsVegetable Oils03 medical and health sciencesCaffeic AcidsPhenolsOleuropeinCell Line TumorOleaVanillic acidHumansPhenolsOlive OilCell ProliferationAnalysis of Variance030109 nutrition & dieteticsOsteoblastsDose-Response Relationship Druglcsh:RChemical CompoundsOrganismsBiology and Life SciencesCell BiologyCell CulturesOsteosarcoma CellsAgronomyOlive treesBiological Tissue030104 developmental biologychemistryFruitHydroxytyrosollcsh:QOilsCrop ScienceDevelopmental Biology
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Creación de un modelo estadístico predictivo para la determinación de las funciones de atenuación en español hablado

2018

Recientemente, algunos autores han definido distintas variables para caracterizar la atenuación lingüística en el marco de una base de datos multidimensional (Briz/Albelda; Albelda/otros). En este estudio se han seleccionado 982 elementos de atenuación de dieciocho entrevistas de español hablado; todos ellos han sido supervisados por hasta cuatro entrevistadores del proyecto Es.VaG.Atenuación. Finalmente, los datos se han evaluado mediante tres pruebas estadísticas para la clasificación y la reducción de variables: el análisis múltiple de correspondencias, el árbol de clasificaciones y el Random Forest. Las variables más determinantes en la discriminación de las funciones de atenuación han …

060201 languages & linguisticsLinguistics and LanguageRandom ForestLiterature and Literary TheoryFuncionesDecision treesAtenuaciónStatisticsEstadística06 humanities and the artsCastellà parlatLanguage and LinguisticsÁrbol de decisionesRandom forestSpeech actFunctions MitigationMultiple correspondence analysis0602 languages and literatureLarge groupHumanitiesMathematicsRilce. Revista de Filología Hispánica
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A comprehensive assessment of energy efficiency of wastewater treatment plants: An efficiency analysis tree approach

2023

Producción Científica

3305.15 Ingeniería HidráulicaÁrboles de regresiónMedio ambiente Estudios de impactoEficiencia energéticaEnvironmental EngineeringRegression treesPlantas depuradoras de aguas residuales3308 Ingeniería y Tecnología del Medio AmbienteEnergia DesenvolupamentEnergy savingsPollutionAigua DepuracióEnergy efficiencyAhorro energéticoWastewater treatment plantsEnvironmental ChemistryAguas residuales DepuraciónWaste Management and DisposalScience of The Total Environment
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Endomicorrize: vantaggi e impiego

2020

AM symbiosis tropical fruit trees biological controlSettore AGR/12 - Patologia VegetaleSimbiosi AM fruttiferi tropicali difesa biologica
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Accurate estimation of retinal vessel width using bagged decision trees and an extended multiresolution Hermite model.

2012

We present an algorithm estimating the width of retinal vessels in fundus camera images. The algorithm uses a novel parametric surface model of the cross-sectional intensities of vessels, and ensembles of bagged decision trees to estimate the local width from the parameters of the best-fit surface. We report comparative tests with REVIEW, currently the public database of reference for retinal width estimation, containing 16 images with 193 annotated vessel segments and 5066 profile points annotated manually by three independent experts. Comparative tests are reported also with our own set of 378 vessel widths selected sparsely in 38 images from the Tayside Scotland diabetic retinopathy scre…

Accurate estimationComputer scienceStability (learning theory)Decision treeHealth Informaticscomputer.software_genreSensitivity and SpecificityPattern Recognition AutomatedSet (abstract data type)Parametric surfaceImage Interpretation Computer-AssistedHumansRadiology Nuclear Medicine and imagingFluorescein AngiographyHermite polynomialsDiabetic RetinopathySettore INF/01 - InformaticaRadiological and Ultrasound TechnologyReproducibility of ResultsRetinal VesselsImage EnhancementComputer Graphics and Computer-Aided DesignData setComputer Vision and Pattern RecognitionData miningRetinal images Vessel width Multiresolution Hermite model Ensembles of bagged decision trees Medical image analysiscomputerAlgorithmsTest dataRetinoscopyMedical image analysis
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Active learning strategies for the deduplication of electronic patient data using classification trees.

2012

Graphical abstractDisplay Omitted Highlights? Active learning for medical record linkage is used on a large data set. ? We compare a simple active learning strategy with a more sophisticated variant. ? The active learning method of Sarawagi and Bhamidipaty (2002) 6] is extended. ? We deliver insights into the variations of the results due to random sampling in the active learning strategies. IntroductionSupervised record linkage methods often require a clerical review to gain informative training data. Active learning means to actively prompt the user to label data with special characteristics in order to minimise the review costs. We conducted an empirical evaluation to investigate whether…

Active learningComputer scienceActive learning (machine learning)Information Storage and RetrievalContext (language use)Health InformaticsSemi-supervised learningMachine learningcomputer.software_genreSet (abstract data type)Artificial IntelligenceBaggingData deduplicationElectronic Health RecordsHumansbusiness.industryString (computer science)Decision TreesOnline machine learningComputer Science ApplicationsData miningArtificial intelligenceMedical Record LinkageString metricbusinesscomputerAlgorithmsJournal of biomedical informatics
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