Search results for "Pf"

showing 10 items of 526 documents

SARS-CoV-2 vaccine response and rate of breakthrough infection in patients with hematological disorders

2022

Abstract Background The clinical efficacy of SARS-CoV-2 vaccines according to antibody response in immunosuppressed patients such as hematological patients has not yet been established. Patients and methods A prospective multicenter registry-based cohort study conducted from December 2020 to December 2021 by the Spanish transplant and cell therapy group was used to analyze the relationship of antibody response at 3–6 weeks after full vaccination (2 doses) with breakthrough SARS-CoV-2 infection in 1394 patients with hematological disorders. Results At a median follow-up of 165 days after complete immunization, 37 out of 1394 (2.6%) developed breakthrough SARS-CoV-2 infection at median of 77 …

*Pfizer-BioNTech BNT162b2Cancer ResearchCOVID-19 Vaccines*Hematological malignanciesAutologous stem cell transplantationAntibodies ViralBreakthrough SARS-CoV-2 infectionModerna mRNA-1273Cohort StudiesHematological malignancies*Moderna mRNA-1273Correlates of protection*VaccineHumansProspective StudiesVacunacióPfizer-BioNTech BNT162b2Molecular BiologyBNT162 Vaccine*Immunocompromised patients*Correlates of protectionSARS-CoV-2VaccinationHematologic diseasesCOVID-19Hematology*Breakthrough SARS-CoV-2 infectionHematologic DiseasesSARS-CoV-2 vaccinesAllogeneic stem cell transplantationVirusOncologyMalalties hematològiquesImmunocompromised patients*SARS-CoV-2 vaccines*Autologous stem cell transplantation*COVID-19Vaccine*Allogeneic stem cell transplantationJournal of Hematology & Oncology
researchProduct

Lietotnes "Scanner Center" izstrāde

2018

Kvalifikācijas darba ietvaros tika izveidota lietojumprogramma “Scanner Center” (pilnais nosaukums Zviedru valodā “IoF Scannercentral”), kas ir kā palīgprogramma Visma Public Affärslösningar (no Zviedru valodas - biznesa risinājumi) sistēmai. Sistēma sastāv no trīs daļām – RoR, IoF un BoM. Kā jau lietojumprogrammas nosaukums norāda, tā tika izstrādāta priekš Inköp och Faktura (no Zviedru valodas – iepirkumi un rēķini) sistēmas daļas. Lietojumprogramma paredzēta rēķinu, kuri tiek ieskenēti .TIF (Tagged Image File Format) formātā, grupēšanai un pārsaukšanai, kā arī teksta failu izveidošanai, kurus pēc tam izmanto IoF sistēma tālāko datu apstrādei.

.NETWPFDatorzinātnec#MSI
researchProduct

Modelling prey-predator interactions in Messina beachrock pools

2020

Abstract The Strait of Messina (Sicily, Italy) attracts the interest of marine ecologists for the presence of a large variety of habitat and mutually-interacting communities. Among them, beachrock formations, despite their wide geographic distribution, which also includes the Mediterranean area, have been poorly investigated from the biotic viewpoint. In this paper, the spatial and seasonal variability of benthic megafauna from the Messina microtidal beachrock is described. Combining in situ collected data (measurements of abiotic parameters and underwater visual census) with theoretical post-processing analyses (analysis of similarity percentages and cluster analysis), we deduced the possi…

0106 biological sciencesBeachrockbiologyEcology010604 marine biology & hydrobiologyEcological ModelingBeachrock; Benthic community; Carrying capacity; Hopf bifurcation; Marine ecology; Prey-predator interactionPrey-predator interactionCarrying capacityHermit crabbiology.organism_classification010603 evolutionary biology01 natural sciencesClibanarius erythropusMarine ecologyGeographyHabitatBenthic communityBenthic zoneMegafaunaBeachrockEcosystemHopf bifurcationSettore MAT/07 - Fisica MatematicaTrophic level
researchProduct

Scale dependence of species–area relationships is widespread but generally weak in Palaearctic grasslands

2021

Questions: Species–area relationships (SARs) are fundamental for understanding biodiversity patterns and are generally well described by a power law with a constant exponent z. However, z-values sometimes vary across spatial scales. We asked whether there is a general scale dependence of z-values at fine spatial grains and which potential drivers influence it. Location: Palaearctic biogeographic realm. Methods: We used 6,696 nested-plot series of vascular plants, bryophytes and lichens from the GrassPlot database with two or more grain sizes, ranging from 0.0001 m² to 1,024 m² and covering diverse open habitats. The plots were recorded with two widespread sampling approaches (rooted presenc…

0106 biological sciencesBeta diversityGLM generalized linear model grasslands SAR species area relationship333.7: Landflächen NaturerholungsgebieteGrassPlotBeta diversityPlant Science010603 evolutionary biology01 natural sciencesSpecies-area curveGrasslandPower lawScale dependencevegetationComputingMilieux_MISCELLANEOUSspecies–area relationshipRooted presenceSpecies–area relationshipgeographygeography.geographical_feature_categoryVegetationpower lawEcologyEcologyShoot presenceVegetation15. Life on landZ-valueGrasslandrooted presencePalaearctic580: Pflanzen (Botanik)scale dependencez-valueSettore BIO/03 - Botanica Ambientale E Applicatabeta diversity[SDE.BE]Environmental Sciences/Biodiversity and EcologygrasslandHeterogeneityScale (map)shoot presence010606 plant biology & botany
researchProduct

sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots

2021

Datos disponibles en https://github.com/fmsabatini/sPlotOpen_Code

0106 biological sciencesBiomeBos- en LandschapsecologieBiodiversityDIVERSITYFOREST VEGETATION01 natural sciences//purl.org/becyt/ford/1 [https]http://aims.fao.org/aos/agrovoc/c_915Abundance (ecology)big dataVegetation typePHYTOSOCIOLOGICAL DATABASEparcelleForest and Landscape Ecologyfunctional traitsvascular plantsbig data; biodiversity; biogeography; database; functional traits; macroecology; vascular plants; vegetation plotsbig data ; biodiversity ; biogeography ; database ; functional traits ; macroecology ; vascular plants ; vegetation plotsMacroecologyhttp://aims.fao.org/aos/agrovoc/c_3860databasebiodiversity[SDV.EE]Life Sciences [q-bio]/Ecology environmentGlobal and Planetary ChangeEcologyEcologyhttp://aims.fao.org/aos/agrovoc/c_33949vascular plantVegetationF70 - Taxonomie végétale et phytogéographiePE&RCVegetation plotGeography580: Pflanzen (Botanik)Ecosystems Researchhttp://aims.fao.org/aos/agrovoc/c_25409Diffusion de l'informationmacroecologyPlantenecologie en NatuurbeheerVegetatie Bos- en LandschapsecologieBiodiversitéARCHIVECommunauté végétalehttp://aims.fao.org/aos/agrovoc/c_24420Evolutionhttp://aims.fao.org/aos/agrovoc/c_fdfbb37f[SDE.MCG]Environmental Sciences/Global ChangesBiogéographieGRASSLAND VEGETATIONPlant Ecology and Nature Conservation[SDV.BID]Life Sciences [q-bio]/Biodiversity010603 evolutionary biologyBehavior and SystematicsCouverture végétale577: ÖkologiePLANThttp://aims.fao.org/aos/agrovoc/c_8176//purl.org/becyt/ford/1.6 [https]/dk/atira/pure/core/keywords/biologyfunctional traitBiologyEcology Evolution Behavior and SystematicsVegetatiebiogeographyVegetation010604 marine biology & hydrobiology/dk/atira/pure/core/keywords/559922418Impact sur l'environnementDRY GRASSLANDSPlant community15. Life on landVégétationWETLAND VEGETATIONhttp://aims.fao.org/aos/agrovoc/c_45b5a34avegetation plotsEarth and Environmental SciencesUNIVERSITYPhysical geographyVegetation Forest and Landscape Ecology[SDE.BE]Environmental Sciences/Biodiversity and Ecologydonnées ouverteshttp://aims.fao.org/aos/agrovoc/c_32514Global and Planetary Change
researchProduct

Fine‐grain beta diversity of Palaearctic grassland vegetation

2021

QUESTIONS: Which environmental factors influence fine-grain beta diversity of vegetation and do they vary among taxonomic groups? LOCATION: Palaearctic biogeographic realm. METHODS: We extracted 4,654 nested-plot series with at least four different grain sizes between 0.0001 m² and 1,024 m² from the GrassPlot database, covering a wide range of different grassland and other open habitat types. We derived extensive environmental and structural information for these series. For each series and four taxonomic groups (vascular plants, bryophytes, lichens, all), we calculated the slope parameter (z-value) of the power law species–area relationship (SAR), as a beta diversity measure. We tested whe…

0106 biological sciencesCzechAgriculture and Food SciencesFine grainelevation333.7: Landflächen NaturerholungsgebietehabitatPlant ScienceMaster planFine-grain beta diversity01 natural sciencesScale dependenceevolutionaryRICHNESSvascular plantsHABITATMacroecologyComputingMilieux_MISCELLANEOUSmedia_commonMean occupancyProductivity2. Zero hungerdisturbance0303 health sciencesEcologySettore BIO/02 - Botanica SistematicaEnvironmental researchPalaearctic grasslanddifferentiationenvironmental heterogeneityspecies-area relationship (SAR)gradientDIFFERENTIATION580: Pflanzen (Botanik)disturbance; elevation; fine-grain beta diversity; heterogeneity; land use; macroecology; mean occupancy; Palaearctic grassland; productivity; scale dependence; species–area relationship (SAR); z-valuescale dependencelanguagemacroecologyproductivitymedia_common.quotation_subjectmean occupancyLibrary scienceSpecies–area relationship (SAR)Environmental drivers Grasslands Lichens Mosses Species-area relationship SAR Vascular Plands010603 evolutionary biologySpecies-area curve03 medical and health sciencesspecies–area relationship (SAR)ExcellencePolitical scienceGRADIENTSlovak030304 developmental biologyspatial scalefine-grain beta diversityBiology and Life Sciencesland useDisturbance15. Life on landZ-valuelanguage.human_languageENVIRONMENTAL HETEROGENEITYEarth and Environmental Sciencesz-valueElevationLand useEVOLUTIONARYSPATIAL SCALESPECIES-AREA RELATIONSHIPSVASCULAR PLANTS[SDE.BE]Environmental Sciences/Biodiversity and EcologyheterogeneityHeterogeneityrichness
researchProduct

Advanced methods of plant disease detection. A review

2014

International audience; Plant diseases are responsible for major economic losses in the agricultural industry worldwide. Monitoring plant health and detecting pathogen early are essential to reduce disease spread and facilitate effective management practices. DNA-based and serological methods now provide essential tools for accurate plant disease diagnosis, in addition to the traditional visual scouting for symptoms. Although DNA-based and serological methods have revolutionized plant disease detection, they are not very reliable at asymptomatic stage, especially in case of pathogen with systemic diffusion. They need at least 1–2 days for sample harvest, processing, and analysis. Here, we d…

0106 biological sciencesEnvironmental Engineering[SDV]Life Sciences [q-bio]DiseaseBiology01 natural sciences03 medical and health sciencesCommercial kitsVolatile organic compoundsSpectroscopyPlant disease030304 developmental biology2. Zero hunger0303 health sciencesbusiness.industryDNA-based methods Immunological assays Spectroscopy Biophotonics Plant disease Remote sensing Volatile organic compounds Commercial kitsEffective managementExtremely HelpfulRemote sensingPlant diseaseCrop protectionBiotechnologyRisk analysis (engineering)DNA-based methodsImmunological assaysBiophotonicsbusinessAgronomy and Crop Science010606 plant biology & botany
researchProduct

Dimensions of invasiveness: Links between local abundance, geographic range size, and habitat breadth in Europe's alien and native floras.

2021

Understanding drivers of success for alien species can inform on potential future invasions. Recent conceptual advances highlight that species may achieve invasiveness via performance along at least three distinct dimensions: 1) local abundance, 2) geographic range size, and 3) habitat breadth in naturalized distributions. Associations among these dimensions and the factors that determine success in each have yet to be assessed at large geographic scales. Here, we combine data from over one million vegetation plots covering the extent of Europe and its habitat diversity with databases on species' distributions, traits, and historical origins to provide a comprehensive assessment of invasive…

0106 biological sciencesFloraenemy release[SDE.MCG]Environmental Sciences/Global Changesmedia_common.quotation_subjectEnemy releaseinvasion successforms of raritydistribution–abundance relationshipenemy releaseleaf economic spectrumPlant Ecology and Nature Conservation[SDV.BID]Life Sciences [q-bio]/BiodiversityAlienLeaf economic spectrumdistribution–abundance relationshipinvasion success forms of rarity distribution–abundance relationship enemy release leaf economic spectrum010603 evolutionary biology01 natural sciencesAbundance (ecology)ddc:570invasion success forms of rarity distribution-abundance relationship enemy release leaf economic spectrumforms of rarityForms of rarityInvasion successAlien speciesEcosystemmedia_common[SDV.EE]Life Sciences [q-bio]/Ecology environmentMultidisciplinaryleaf economic spectrumEcologydistribution-abundance relationship; enemy release; forms of rarity; invasion success; leaf economic spectrum010604 marine biology & hydrobiologyVegetation15. Life on landPlantsBiological SciencesDistribution-abundance relationshipDefensieEuropePhylogeography580: Pflanzen (Botanik)GeographyHabitatdistribution-abundance relationshipinvasion successPlantenecologie en Natuurbeheer[SDE.BE]Environmental Sciences/Biodiversity and EcologyIntroduced SpeciesDistribution–Abundance relationshipDiversity (politics)Proceedings of the National Academy of Sciences of the United States of America
researchProduct

Plot - A new tool for global vegetation analyses

2019

23Biodiversity Conservation Department, ISPRA – Italian National Institute for Environmental Protection and Research, Rome, Italy

0106 biological sciencesGender and DiversityBos- en LandschapsecologieBiomeэкология сообществPlant Scienceэкоинформатика[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomy01 natural sciencesAbundance (ecology)EcoinformaticsForest and Landscape EcologyMacroecologyResearch methodology and philosophyрастительностьbiodiversityEcologyvascular plantPlot база данныхVegetation[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/BotanicsPE&RCfunctional diversityGeography580: Pflanzen (Botanik)Ecosystems Researchvegetation relevémacroecologyPlantenecologie en Natuurbeheerphylogenetic diversityVegetatie Bos- en Landschapsecologievegetation relevebiodiversity ; community ecology ; ecoinformatics ; functional diversity ; global scale ; macroecology ; phylogenetic diversity ; plot database ; staxonomic ; diversity ; vascular plant ; vegetation relevé/dk/atira/pure/core/keywords/nachhaltigkeitswissenschaftContext (language use)Plant Ecology and Nature Conservationecoinformatic010603 evolutionary biologySustainability Scienceecoinformatics[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsEcoinformaticsbiodiversity; community ecology; ecoinformatics; functional diversity; global scale; macroecology; phylogenetic diversity; plot database; sPlot; taxonomic diversity; vascular plant; vegetation relevé577: Ökologieplot database/dk/atira/pure/core/keywords/biologyVegetatieVegetationsPlotPlant communityMacroecology Phylogenetic diversitybiodiversity; community ecology; ecoinformatics; functional diversity; global scale; macroecology; phylogenetic diversity; plot database; sPlot; taxonomic diversity; vascular plant; vegetation releve15. Life on landтаксономическое разнообразиеtaxonomic diversityglobal scaleбиоразнообразиеCrop husbandrySpecies richnessPhysical geographyVegetation Forest and Landscape Ecology[SDE.BE]Environmental Sciences/Biodiversity and Ecology/dk/atira/pure/core/keywords/gender_and diversityфилогенетическое разнообразиемакроэкологияcommunity ecology010606 plant biology & botany
researchProduct

Climate and socio-economic factors explain differences between observed and expected naturalization patterns of European plants around the world

2021

Pouteau, R., et al.

0106 biological sciencesRange (biology)Species distributionalien species010603 evolutionary biology01 natural sciencesInvasive speciesантропогенная нагрузкасистематическая ошибка выборкиAntrophogenic pressureddc:570introduction pathwayчужеродные виды577: Ökologiefunctional traitэкологический факторalien species anthropogenic pressure environmental driver functional trait global change introduction pathway naturalization ornamental plant sampling bias species distribution modelEcology Evolution Behavior and Systematicsglobal changeдекоративные растения[SDV.EE]Life Sciences [q-bio]/Ecology environmentGlobal and Planetary ChangeEcologyEcologyenvironmental driverspecies distribution model010604 marine biology & hydrobiologyornamental plantalien species ; anthropogenic pressure ; environmental driver ; functional trait ; global change ; introduction pathway ; naturalization ; ornamental plant ; sampling bias ; species distribution modelSpecies distribution modelGlobal change15. Life on landклиматические факторыanthropogenic pressuresampling biasnaturalizationTaxonGeography580: Pflanzen (Botanik)HabitatDisturbance (ecology)модели распространения видов[SDE]Environmental Sciencesфункциональные признакинатурализацияSpecies richness
researchProduct