Search results for " Sampling"

showing 10 items of 375 documents

Adaptive Finite Temperature String Method in Collective Variables.

2017

Here we present a modified version of the on-the-fly string method for the localization of the minimum free energy path in a space of arbitrary collective variables. In the proposed approach the shape of the biasing potential is controlled by only two force constants, defining the width of the potential along the string and orthogonal to it. The force constants and the distribution of the string nodes are optimized during the simulation, improving the convergence. The optimized parameters can be used for umbrella sampling with a path CV along the converged string as the reaction coordinate. We test the new method with three fundamentally different processes: chloride attack to chloromethane…

010304 chemical physicsChemistryString (computer science)Mathematical analysis010402 general chemistry01 natural sciences0104 chemical sciencesReaction coordinateDistribution (mathematics)0103 physical sciencesPath (graph theory)Convergence (routing)Range (statistics)Physical and Theoretical ChemistryUmbrella samplingPotential of mean forceThe journal of physical chemistry. A
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GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment

2019

Gravimetric methods are expected to play a decisive role in geophysical modeling of the regional crustal structure applied to geoneutrino studies. GIGJ (GOCE Inversion for Geoneutrinos at JUNO) is a 3D numerical model constituted by ~46 x 10$^{3}$ voxels of 50 x 50 x 0.1 km, built by inverting gravimetric data over the 6{\deg} x 4{\deg} area centered at the Jiangmen Underground Neutrino Observatory (JUNO) experiment, currently under construction in the Guangdong Province (China). The a-priori modeling is based on the adoption of deep seismic sounding profiles, receiver functions, teleseismic P-wave velocity models and Moho depth maps, according to their own accuracy and spatial resolution. …

010504 meteorology & atmospheric sciencesGeoneutrinogeophysical uncertaintieInverse transform samplingFOS: Physical sciences01 natural sciencesBayesian methodUpper middle and lower crustStandard deviationNOSouth China BlockmiddlePhysics - GeophysicsMonte Carlo stochastic optimizationGOCE data gravimetric inversionGeophysical uncertaintiesGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)Bayesian method; geophysical uncertainties; GOCE data gravimetric inversion; Monte Carlo stochastic optimization; South China Block; upper middle and lower crustImage resolution0105 earth and related environmental sciencesSubdivisionJiangmen Underground Neutrino Observatoryupper and middle and lower crustbusiness.industrySettore FIS/01 - Fisica SperimentaleCrustupperGeodesy[PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]Geophysics (physics.geo-ph)and lower crustDepth soundingGeophysics13. Climate actionSpace and Planetary SciencebusinessGeologyBayesian method geophysical uncertainties GOCE data gravimetric inversion Monte Carlo stochastic optimization South China Blockupper and middle and lower crust
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Microbiology and atmospheric processes: biological, physical and chemical characterization of aerosol particles

2008

Abstract. The interest in bioaerosols has traditionally been linked to health hazards for humans, animals and plants. However, several components of bioaerosols exhibit physical properties of great significance for cloud processes, such as ice nucleation and cloud condensation. To gain a better understanding of their influence on climate, it is therefore important to determine the composition, concentration, seasonal fluctuation, regional diversity and evolution of bioaerosols. In this paper, we will review briefly the existing techniques for detection, quantification, physical and chemical analysis of biological particles, attempting to bridge physical, chemical and biological methods for …

010504 meteorology & atmospheric sciencesIndoor bioaerosollcsh:LifeBiological particles[SDU.STU]Sciences of the Universe [physics]/Earth SciencesNanotechnology[SDU.ASTR] Sciences of the Universe [physics]/Astrophysics [astro-ph]01 natural sciences[PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]03 medical and health scienceslcsh:QH540-549.5[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEarth-Surface Processes[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere0303 health sciences[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph][SDU.OCEAN] Sciences of the Universe [physics]/Ocean Atmosphere030306 microbiologyChemistrylcsh:QE1-996.5[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces environmentAerosolCharacterization (materials science)lcsh:Geologylcsh:QH501-531[PHYS.ASTR.CO] Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]13. Climate action[SDU.STU] Sciences of the Universe [physics]/Earth SciencesIce nucleuslcsh:EcologyBiochemical engineeringAerosol sampling
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Give me a sample of air and I will tell which species are found from your region : Molecular identification of fungi from airborne spore samples

2017

Fungi are a megadiverse group of organisms, they play major roles in ecosystem functioning and are important for human health, food production and nature conservation. Our knowledge on fungal diversity and fungal ecology is however still very limited, in part because surveying and identifying fungi is time demanding and requires expert knowledge. We present a method that allows anyone to generate a list of fungal species likely to occur in a region of interest, with minimal effort and without requiring taxonomical expertise. The method consists of using a cyclone sampler to acquire fungal spores directly from the air to an Eppendorf tube, and applying DNA barcoding with probabilistic specie…

0106 biological sciences0301 basic medicineBACTERIALBiodiversityAir MicrobiologyDIVERSITYmolecular identificationLANDSCAPE SCALE01 natural sciencesDNA barcodingCOMMUNITY COMPOSITIONekosysteemitTEMPORAL VARIABILITYmolecular biologymolekyylibiologiaFinlandtunnistaminen2. Zero hungeralue-ekologiaOUTDOOR AIREcologySampling (statistics)ReplicateBiodiversitySpores Fungalekosysteemipalvelut1181 Ecology evolutionary biologySeasonsrecognitionsienetecosystemsBiotechnologyregional ecologySample (material)SHORT DISTANCESBiologyspore010603 evolutionary biology03 medical and health sciencesSpecies SpecificityGeneticsDNA Barcoding Taxonomicfungal sampling methodEcosystemEcology Evolution Behavior and SystematicsMolecular identificationWOOD-INHABITING FUNGIFungi15. Life on landatmospheric diversityATMOSPHERESporeekosysteemit (ekologia)fungal diversity030104 developmental biologyfungal survey1182 Biochemistry cell and molecular biologyfungiDISPERSAL LIMITATIONecosystem services
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Spatio-temporal variations in the application of the Braun-Blanquet approach in Europe

2018

An historical overview on the affirmation of the phytosociological method in Europe is presented. Some methodological and procedural differences in the application of the Braun-Blanquet approach, from the selection of the sampling plots to the assignment of relevés to existing or newly described units, are briefly commented. The main advantages and limitations of the phytosociological vegetation classification are reviewed and discussed, also in the light of their applications for vegetation mapping and monitoring.

0106 biological sciencesBraun blanquetGeographyPhytosociologyVegetation classificationEurope; phytosociology; vegetation classification; vegetation mapping; vegetation sampling; vegetation surveysPlant ScienceEurope phytosociology vegetation surveys vegetation mapping vegetation sampling vegetation classification010603 evolutionary biology01 natural sciencesCartography010606 plant biology & botanyVegetation samplingPhytocoenologia
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Stable isotopes reveal differences in diet among reed bunting subspecies that vary in bill size

2017

Reed bunting Emberiza schoeniclus subspecies vary considerably in bill size and shape and seem to be at an early stage of speciation, in which bill might be indirectly causing reproductive isolation. Hence, we evaluated whether bill size, as well as age and sex, are associated with foraging niche in three west European subspecies of reed bunting: the thin-billed schoeniclus, the intermediate-billed lusitanica and the thick-billed witherbyi. Blood sampling was undertaken at three sites in southwest Europe during the winter (when these subspecies co-occur), and stable isotope analyses (carbon and nitrogen) were performed to assess their foraging niches. Stable isotope analyses of potential fo…

0106 biological sciencesEcological nichebiologyEcologyForagingBuntingEmberiza schoeniclusSubspeciesbiology.organism_classification010603 evolutionary biology01 natural sciences010601 ecologySexual dimorphismSexual selectionAnimal Science and ZoologyEcology Evolution Behavior and SystematicsBlood sampling
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A novel method to predict dark diversity using unconstrained ordination analysis

2019

[Questions] Species pools are the product of complex ecological and evolutionary mechanisms, operating over a range of spatial scales. Here, we focus on species absent from local sites but with the potential to establish within communities — known as dark diversity. Methods for estimating dark diversity are still being developed and need to be compared, as well as tested for the type, and amount, of reference data needed to calibrate these methods. [Location] South Bohemia (48°58′ N, 14°28′ E) and Železné Hory (49°52′ N, 15°34′ E), Czech Republic. [Method] We compared a widely accepted algorithm to estimate species pools (Beals smoothing index, based on species co-occurrence) against a nove…

0106 biological sciencesEcologyReference data (financial markets)Species poolCommunity structureBeals smoothing indexPlant Science010603 evolutionary biology01 natural sciencesCommunity structureEllenberg valuesUnconstrained ordinationCommon speciesDark diversityStatisticsRange (statistics)OrdinationScale (map)Nested sampling algorithmSmoothing010606 plant biology & botanyMathematics
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Thompson Sampling Based Active Learning in Probabilistic Programs with Application to Travel Time Estimation

2019

The pertinent problem of Traveling Time Estimation (TTE) is to estimate the travel time, given a start location and a destination, solely based on the coordinates of the points under consideration. This is typically solved by fitting a function based on a sequence of observations. However, it can be expensive or slow to obtain labeled data or measurements to calibrate the estimation function. Active Learning tries to alleviate this problem by actively selecting samples that minimize the total number of samples needed to do accurate inference. Probabilistic Programming Languages (PPL) give us the opportunities to apply powerful Bayesian inference to model problems that involve uncertainties.…

0106 biological sciencesEstimation0303 health sciencesSequenceActive learning (machine learning)business.industryComputer scienceProbabilistic logicInferenceFunction (mathematics)Bayesian inferenceMachine learningcomputer.software_genre010603 evolutionary biology01 natural sciences03 medical and health sciencesArtificial intelligencebusinesscomputerThompson sampling030304 developmental biology
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Diet Quality Limits Summer Growth of Field Vole Populations

2014

Marked variation occurs in both seasonal and multiannual population density peaks of northern European small mammal species, including voles. The availability of dietary proteins is a key factor limiting the population growth of herbivore species. The objective of this study is to investigate the degree to which protein availability influences the growth of increasing vole populations. We hypothesise that the summer growth of folivorous vole populations is positively associated with dietary protein availability. A field experiment was conducted over a summer reproductive period in 18 vegetated enclosures. Populations of field voles (Microtus agrestis) were randomised amongst three treatment…

0106 biological sciencesMaleLow proteinPopulation Dynamicsfood supplementation experimentslcsh:Medicine01 natural sciencesPopulation densityPregnancylcsh:Science2. Zero hungereducation.field_of_studyMultidisciplinarybiologyEcologyEcologyArvicolinaeTerrestrial EnvironmentsMammalogyFemaleDietary ProteinsSeasonsResearch ArticleMetapopulation DynamicsEcological MetricsField volePopulationta1172010603 evolutionary biologyAnimal sciencePopulation Metricssmall mammalsAnimalsTerrestrial EcologyMicrotuseducationPopulation GrowthBiologyPopulation DensityPopulation Biology010604 marine biology & hydrobiologylcsh:Rbiology.organism_classificationDietDietary SupplementsPopulation cycleta1181Volelcsh:QPopulation EcologyZoologyBlood samplingEcological EnvironmentsPlos One
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Drosophila cuticular hydrocarbons revisited : Mating status alters cuticular profiles

2010

Editor: Frederic Marion-Poll, INRA - Paris 6 - AgroParisTech, France.; International audience; Most living organisms use pheromones for inter-individual communication. In Drosophila melanogaster flies, several pheromones perceived either by contact/at a short distance (cuticular hydrocarbons, CHs), or at a longer distance (cis-vaccenyl acetate, cVA), affect courtship and mating behaviours. However, it has not previously been possible to precisely identify all potential pheromonal compounds and simultaneously monitor their variation on a time scale. To overcome this limitation, we combined Solid Phase Micro-Extraction with gas-chromatography coupled with mass-spectrometry. This allowed us (i…

0106 biological sciencesMalecis-vaccenyl acetate[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionSPMElcsh:MedicineEvolutionary Biology/Sexual Behaviorgustation01 natural sciencesMass SpectrometryPheromonessexeCourtshipSexual Behavior AnimalMatinglcsh:ScienceComputingMilieux_MISCELLANEOUSmedia_common0303 health sciencesMultidisciplinaryEcologyShort distancematingDrosophila melanogasterSex pheromoneFemaleDrosophila melanogasterin-vivo samplingResearch ArticleolfactionChromatography Gasmedia_common.quotation_subject[SDV.BC]Life Sciences [q-bio]/Cellular Biologymating;cuticular hydrocarbon;cis-vaccenyl acetate;in-vivo sampling;SPMEBiologyChemical communication010603 evolutionary biology03 medical and health sciencesEcology/Behavioral EcologyAnimalsHexanesphéromoneDrosophilaSolid Phase Microextraction030304 developmental biologyEvolutionary Biology/Animal Behaviorlcsh:RfungiReproducibility of ResultsDevelopmental Biology/Agingbiology.organism_classificationHydrocarbonsGene Expression RegulationEvolutionary biologycuticular hydrocarbonlcsh:Q[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFunction (biology)
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