Search results for "Predictive"

showing 10 items of 1373 documents

Performance of PSI, CURB-65, and SCAP scores in predicting the outcome of patients with community-acquired and healthcare-associated pneumonia

2011

The objective was to compare three score systems, pneumonia severity index (PSI), the Confusion-Urea-Respiratory Rate-Blood pressure-65 (CURB-65), and severe community-acquired pneumonia (SCAP), for prediction of the outcomes in a cohort of patients with community-acquired (CAP) and healthcare-associated pneumonia (HCAP). Large multi-center, prospective, observational study was conducted in 55 hospitals. HCAP patients were included in the high classes of CURB-65, PSI and SCAP scores have a mortality rate higher than that of CAP patients. HCAP patients included in the low class of the three severity rules have a significantly higher incidence of adverse events, including development of septi…

---medicine.medical_specialtySettore MED/09 - Medicina Internacommunity-acquired pneumoniaPneumonia severity indexBlood PressureSettore MED/10 - Malattie Dell'Apparato RespiratorioCommunity-acquired pneumonia Healthcare-associated pneumonia PSI CURB 65Severity of Illness IndexCommunity-acquired pneumoniaRespiratory RatePredictive Value of TestsInternal medicineCURB 65Severity of illnessInternal MedicinePneumonia BacterialMedicineHumansUreaPSIProspective StudiesIntensive care medicineProspective cohort studyConfusion---; community-acquired pneumonia; Healthcare-associated pneumonia; PSI; CURB 65Cross Infectioncommunity-acquired pneumonia; psi; healthcare-associated pneumonia; curb 65business.industryMortality ratemedicine.diseasePrognosisCURB-65Settore MED/45 - Scienze Infermieristiche Generali Cliniche E PediatricheHealthcare-associated pneumoniaCommunity-Acquired InfectionsPneumoniaCohortEmergency Medicinebusiness
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Estimating “land use heritage” to model changes in archaeological settlement patterns

2016

International audience; In this paper, we present a method to calculate a “land use heritage map” based on the concept of “memory of landscape”. Such a map can be seen as one variable among others influencing site location preference, and can be used as input for predictive models. The computed values equate to an index of long-term land use intensity. We will first discuss the method used for creating the land use heritage map, for which kernel density estimates are used.We will then present the use of these land use heritage maps for site location analysis in two study areas in SE France. Earlier analyses showed that the influence of the natural environment on settlement location choice i…

010506 paleontologyIndex (economics)[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory01 natural sciences[ SHS.GEO ] Humanities and Social Sciences/Geographysocio-cultural variablesOrder (exchange)memory of landscape0601 history and archaeologyRural settlement[ SHS.STAT ] Humanities and Social Sciences/Methods and statistics0105 earth and related environmental sciencesheritage map[SHS.STAT]Humanities and Social Sciences/Methods and statistics060102 archaeologyLand usePredictive modelling06 humanities and the arts[SHS.GEO]Humanities and Social Sciences/Geography15. Life on landArchaeologyPreferenceVariable (computer science)Geography[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistorysettlement pattern analysisSettlement (trust)Predictive modelling
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Introducing the Human Factor in Predictive Modelling: a Work in Progress

2012

International audience; In this paper we present the results of a study into integrating socio-cultural factors into predictive modelling. So far, predictive modelling has largely neglected the social and cultural dimensions of past landscapes. To maintain its value for archaeological research, therefore, it needs new methodologies, concepts and theories. For this study, we have departed from the methodology developed in the 1990s during the Archaeomedes Project. In this project, cross-regional comparisons of settlement location factors were made by analyzing the environmental context of Roman settlements in the French Rhône Valley. For the current research, we expanded the set of variables…

010506 paleontologyOperations researchregional comparison[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryComputer sciencefacteurs socio-culturelsSubject (philosophy)0211 other engineering and technologies02 engineering and technology01 natural sciencesdiachronic comparisonCultural heritage managementcomparaison diachronique0601 history and archaeology0105 earth and related environmental sciences021101 geological & geomatics engineeringcomparaison régionale[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory060102 archaeologyPredictive modellingRoman period.Cultural resources managementpériode romaine.06 humanities and the artsWork in processPopularityEpistemologysocio-cultural factors[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistoryCriticismArchaeological heritageModélisation prédictivePredictive modelling
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Foraging Bumblebees Selectively Attend to Other Types of Bees Based on Their Reward-Predictive Value.

2020

Using social information can be an efficient strategy for learning in a new environment while reducing the risks associated with trial-and-error learning. Whereas social information from conspecifics has long been assumed to be preferentially attended by animals, heterospecifics can also provide relevant information. Because different species may vary in their informative value, using heterospecific social information indiscriminately can be ineffective and even detrimental. Here, we evaluated how selective use of social information might arise at a proximate level in bumblebees (Bombus terrestris) as a result of experience with demonstrators differing in their visual appearance and in thei…

0106 biological sciencesForagingselective attentionContext (language use)eläinten käyttäytyminen010603 evolutionary biology01 natural sciencesArticle03 medical and health sciencesInformation providersinsectspölyttäjättarkkaavaisuuslcsh:Science030304 developmental biology0303 health sciencesbehavioral flexibilitybiologykimalaisetSocial cuebiology.organism_classificationSocial learningVisual appearancePredictive valuesosiaalinen oppiminensocial learningInsect ScienceBombus terrestrishyönteisetlcsh:QbeesCognitive psychologyInsects
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A bark beetle infestation predictive model based on satellite data in the frame of decision support system TANABBO

2020

The European spruce bark beetle Ips typographus L. causes significant economic losses in managed coniferous forests in Central and Northern Europe. New infestations either occur in previously undisturbed forest stands (i.e., spot initiation) or depend on proximity to previous years’ infestations (i.e., spot spreading). Early identification of newly infested trees over the forested landscape limits the effective control measures. Accurate forecasting of the spread of bark beetle infestation is crucial to plan efficient sanitation felling of infested trees and prevent further propagation of beetle-induced tree mortality. We created a predictive model of subsequent year spot initiation and spo…

0106 biological sciencesIps typographusDecision support systemBark beetlemedicine.disease_causeFelling01 natural sciencesgisbark beetle infestationSatellite dataInfestationmedicinelcsh:ForestryDigital elevation modelNature and Landscape ConservationkovakuoriaisetEcologybiologyForestryForestryNorway Spruce04 agricultural and veterinary sciencesVegetationspatial predictive modelbiology.organism_classificationGISroc curvemetsäekosysteemitGeographyROC Curvenorway spruce040103 agronomy & agriculture0401 agriculture forestry and fisherieslcsh:SD1-669.5010606 plant biology & botany
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Predictive distribution models of European hake in the south-central Mediterranean Sea

2017

The effective management and conservation of fishery resources requires knowledge of their spatial distribution and notably of their critical life history stages. Predictive modelling of the European hake (Merluccius merluccius L., 1758) distribution was developed in the south-central Mediterranean Sea by means of historical fisheries-independent databases available in the region. The study area included the international waters of the south-central Mediterranean Sea and the territorial waters of Italy, Malta, Tunisia and Libya. Distribution maps of predicted population abundance index, and probabilistic occurrence of recruits and large adults were obtained by means of generalized additive …

0106 biological sciencesMediterranean climateGeneralized additive modelAquatic ScienceSpatial distribution010603 evolutionary biology01 natural sciencesGeneralized additive modelsSeafloor geophysical featureMediterranean seaHakeSeafloor geophysical featuresMerluccius merlucciusSpecies distribution modelling14. Life underwaterLarge adults habitatSettore MAT/07 - Fisica Matematicabiology010604 marine biology & hydrobiologyGeneralized additive modelMerluccius merlucciusbiology.organism_classificationRecruits habitatEnvironmental niche modellingFisheryStrait of SicilyGeographyMerluccius merlucciuPredictive modelling
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Intergenerational fitness effects of the early life environment in a wild rodent.

2019

The early life environment can have profound, long-lasting effects on an individual's fitness. For example, early life quality might (a) positively associate with fitness (a silver spoon effect), (b) stimulate a predictive adaptive response (by adjusting the phenotype to the quality of the environment to maximize fitness) or (c) be obscured by subsequent plasticity. Potentially, the effects of the early life environment can persist beyond one generation, though the intergenerational plasticity on fitness traits of a subsequent generation is unclear. To study both intra- and intergenerational effects of the early life environment, we exposed a first generation of bank voles to two early life…

0106 biological sciencesPopulation DensityReproductive successOffspringArvicolinae010604 marine biology & hydrobiologyReproductionfungiMaternal effectSocial environmentRodentiaAdaptive responseBiology010603 evolutionary biology01 natural sciencesPopulation densityPredictive adaptive responseTraitAnimalsAnimal Science and ZoologyFemaleSeasonsEcology Evolution Behavior and SystematicsDemographyThe Journal of animal ecologyREFERENCES
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Predicting shifting sustainability trade-offs in marine finfish aquaculture under climate change

2018

Defining sustainability goals is a crucial but difficult task because it often involves the quantification of multiple interrelated and sometimes conflicting components. This complexity may be exacerbated by climate change, which will increase environmental vulnerability in aquaculture and potentially compromise the ability to meet the needs of a growing human population. Here, we developed an approach to inform sustainable aquaculture by quantifying spatio-temporal shifts in critical trade-offs between environmental costs and benefits using the time to reach the commercial size as a possible proxy of economic implications of aquaculture under climate change. Our results indicate that optim…

0106 biological sciencesTrade-offsSettore BIO/07 - EcologiaAquatic OrganismsConservation of Natural Resources010504 meteorology & atmospheric sciencesClimate ChangeMechanistic predictive modelsPopulationFisheriesClimate changeAquaculture01 natural sciencesAquaculture; Mechanistic predictive models; Mediterranean Sea; Regional climate models; Seabass; Trade-offs; Global and Planetary Change; Environmental Chemistry; Ecology; 2300Effects of global warmingseabaMediterranean SeaAnimalsHumansEnvironmental ChemistryEnvironmental impact assessmenteducationEnvironmental planning0105 earth and related environmental sciencesGeneral Environmental Scienceeducation.field_of_studyGlobal and Planetary Changemechanistic predictive modelEcology2300010604 marine biology & hydrobiologyregional climate modelFishesTemperatureNatural resourceSeabassSustainable managementSustainabilityBusinessGlobal and Planetary ChangeRegional climate models
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Macrophytes in boreal streams: Characterizing and predicting native occurrence and abundance to assess human impact

2016

Abstract Macrophytes are a structurally and functionally essential element of stream ecosystems and therefore indispensable in assessment, protection and restoration of streams. Modelling based on continuous environmental gradients offers a potential approach to predict natural variability of communities and thereby improve detection of anthropogenic community change. Using data from minimally disturbed streams, we described natural macrophyte assemblages in pool and riffle habitats separately and in combination, and explored their variation across large scale environmental gradients. Specifically, we developed RIVPACS-type models to predict the presence and abundance of macrophyte taxa at …

0106 biological sciencesbioassessmentRiffleEcologyEcologyNull model010604 marine biology & hydrobiologyagricultural pressureGeneral Decision SciencesSTREAMSpredictive modelsreference condition010603 evolutionary biology01 natural sciencesMacrophyteRIVPACSRIVPACSBorealHabitatwater framework directiveta1181Environmental scienceEcosystemEcology Evolution Behavior and SystematicsEcological Indicators
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Optimization of Synthetic Media Composition for Kluyveromyces marxianus Fed-Batch Cultivation

2021

The Kluyveromyces marxianus yeast recently has gained considerable attention due to its applicability in high-value-added product manufacturing. In order to intensify the biosynthesis rate of a target product, reaching high biomass concentrations in the reaction medium is mandatory. Fed-batch processes are an attractive and efficient way how to achieve high cell densities. However, depending on the physiology of the particular microbial strain, an optimal media composition should be used to avoid by-product synthesis and, subsequently, a decrease in overall process effi-ciency. Thus, the aim of the present study was to optimise the synthetic growth medium and feeding solution compositions (…

0106 biological sciencesmodel predictive control (MPC)BiomassPlant Science<i>Kluyveromyces marxianus</i>; 2-phenylethanol; fed-batch; cultivation; bioreactor; model predictive control (MPC)01 natural sciencesBiochemistry Genetics and Molecular Biology (miscellaneous)03 medical and health scienceschemistry.chemical_compoundbioreactorKluyveromyces marxianusfed-batch010608 biotechnologyBioreactorFood science030304 developmental biology0303 health sciencesGrowth mediumlcsh:TP500-660biologyChemistrySubstrate (chemistry)biology.organism_classificationlcsh:Fermentation industries. Beverages. AlcoholYeastcultivationYield (chemistry)Composition (visual arts)<i>Kluyveromyces marxianus</i>Food Science2-phenylethanolFermentation
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