Search results for "torium"

showing 10 items of 108 documents

Transformation of Aspergillus parasiticus using autonomously replicating plasmids from Aspergillus nidulans.

1994

A genetic transformation system for the aflatoxin-producing fungus Aspergillus parasiticus using two autonomously replicating plasmids from A. nidulans (ARp1 and pDHG25) is reported. Transformation frequencies using the plasmid pDHG25 were from 5 x 10(2) to 2.5 x 10(4) transformants per 10(6) viable protoplasts and microgram DNA. The stability of the plasmids in the transformants was also studied. This transformation system offers a new opportunity to clone genes related to aflatoxin production using appropriate aflatoxin-defective mutants.

DNA ReplicationArginine BAutonomously replicating sequenceMitosisLaboratorium voor ErfelijkheidsleerMicrobiologyAspergillus parasiticusAspergillus nidulansMicrobiologyGenetic transformationchemistry.chemical_compoundPlasmidTransformation GeneticAutonomous replicationAspergillus nidulansGeneticsDNA FungalMolecular BiologyGeneGeneticsAspergillus nidulans autonomous replicating plasmidbiologyProtoplastsfood and beveragesProtoplastbiology.organism_classificationAspergillus parasiticusTransformation (genetics)AspergilluschemistryLaboratory of GeneticsDNAPlasmidsFEMS microbiology letters
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Global data on earthworm abundance, biomass, diversity and corresponding environmental properties

2021

Earthworms are an important soil taxon as ecosystem engineers, providing a variety of crucial ecosystem functions and services. Little is known about their diversity and distribution at large spatial scales, despite the availability of considerable amounts of local-scale data. Earthworm diversity data, obtained from the primary literature or provided directly by authors, were collated with information on site locations, including coordinates, habitat cover, and soil properties. Datasets were required, at a minimum, to include abundance or biomass of earthworms at a site. Where possible, site-level species lists were included, as well as the abundance and biomass of individual species and ec…

Data DescriptorDistribuição GeográficaPlan_S-Compliant-OASoilBiomassbiodiversityDiversityEcologyBiodiversidadeQBiodiversityeliöyhteisötmaaperäeliöstöPE&RCComputer Science ApplicationsMultidisciplinary SciencesBiogeographyinternational1181 Ecology evolutionary biologyEcosystem engineersScience & Technology - Other TopicsStatistics Probability and UncertaintyInformation SystemsStatistics and ProbabilitylierotScienceInvertebradosLibrary and Information Sciences[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil studyEcology and EnvironmentEducationeliömaantiede[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsMinhocaServiço ambientalBIODIVERSITY CHANGELife ScienceEcosystem servicesEarthwormsDatasetsAnimalsSpatial distributionCommunity ecologyOligochaetaLaboratorium voor NematologieEcosystem1172 Environmental sciencesbiogeographyScience & TechnologyLAND-USEBiology and Life SciencesPLATFORMBodemfysica en LandbeheerEcologíaEcossistemabiodiversiteettiSoil Physics and Land ManagementSoloBiologia do Solomaaperäeläimistö570 Life sciences; biologyeartworm ; abundance ; biomass ; diversityLaboratory of Nematology[SDE.BE]Environmental Sciences/Biodiversity and EcologyCOMMUNITIEScommunity ecology
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Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review

2015

Abstract: Forthcoming superspectral satellite missions dedicated to land monitoring, as well as planned imaging spectrometers, will unleash an unprecedented data stream. The processing requirements for such large data streams involve processing techniques enabling the spatio-temporally explicit quantification of vegetation properties. Typically retrieval must be accurate, robust and fast. Hence, there is a strict requirement to identify next-generation bio-geophysical variable retrieval algorithms which can be molded into an operational processing chain. This paper offers a review of state-of-the-art retrieval methods for quantitative terrestrial bio-geophysical variable extraction using op…

Data streamEconomicsComputer scienceOperational variable retrievalcomputer.software_genreLaboratory of Geo-information Science and Remote SensingMachine learningPhysicalLaboratorium voor Geo-informatiekunde en Remote SensingBio-geophysical variablesComputers in Earth SciencesParametricEngineering (miscellaneous)Parametric statisticsRemote sensingData stream miningPhysicsTransparency (human–computer interaction)VegetationPE&RCNon-parametricHybridAtomic and Molecular Physics and OpticsComputer Science ApplicationsVariable (computer science)SatelliteData miningEngineering sciences. TechnologyRetrievabilitycomputerISPRS Journal of Photogrammetry and Remote Sensing
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Performance of Spectral Fitting Methods for vegetation fluorescence quantification

2010

The Fraunhofer Line Discriminator (FLD) principle has long been considered as the reference method to quantify solar-induced chlorophyll fluorescence (F) from passive remote sensing measurements. Recently, alternative retrieval algorithms based on the spectral fitting of hyperspectral radiance observations, Spectral Fitting Methods (SFMs), have been proposed. The aim of this manuscript is to investigate the performance of such algorithms and to provide relevant information regarding their use. FLD and SFMs were used to estimate F starting from Top Of Canopy (TOC) fluxes at very high spectral resolution (0.12 nm) and sampling interval (0.1 nm), exploiting the O2-B (687.0 nm) and O2-A (760.6 …

DiscriminatorreflectanceHyperspectral remote sensingSolar-induced chlorophyll fluorescenceMETIS-304492Soil Science550 - Earth sciencesFraunhofer Line Discriminatorin-vivoNoise (electronics)Spectral lineRadiative transfer simulationLaboratory of Geo-information Science and Remote SensingSampling (signal processing)luminescenceLaboratorium voor Geo-informatiekunde en Remote Sensinginduced chlorophyll fluorescenceComputers in Earth SciencesSpectral resolutionMathematicsRemote sensingcanopymodelphotosynthesisscatteringairborneHyperspectral imagingGeologySpectral Fitting MethodPE&RCAGR/14 - PEDOLOGIASpectroradiometerspectroradiometerRadianceREMOTE SENSING OF ENVIRONMENT
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Feinstruktur eines dritten, nicht-cili�ren Propriorezeptors an der Mandibel vonOryzaephilus surinamensis (L.) (Insecta, Coleoptera)

1978

A third proprioceptor is described in the head ofOryzaephilus, which—just as the other two—presumably controls the movement of the mandible. It consists of two muscle fibres between the anterior arm of tentorium and the dorsal base of mandible, and a sensory cell, which sends a dendrite to the muscle insertion. The numerous endings of the dendrite lie between the touching surfaces of muscle fibres and epidermis cells. They do not show any ciliary structures and are not surrounded by glia cells or connective tissue.

Dorsummedicine.anatomical_structureMandiblemedicineConnective tissueDendriteCell BiologyPlant ScienceGeneral MedicineAnatomyBiologySensory cellTentoriumProtoplasma
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Special Issue on New perspectives and approaches in plant growth-promoting rhizobacteria research : Foreword

2007

EPS-2fungiLaboratory of PhytopathologyLife Sciencefood and beveragesLaboratorium voor Phytopathologie
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Advances in Kernel Machines for Image Classification and Biophysical Parameter Retrieval

2017

Remote sensing data analysis is knowing an unprecedented upswing fostered by the activities of the public and private sectors of geospatial and environmental data analysis. Modern imaging sensors offer the necessary spatial and spectral information to tackle a wide range problems through Earth Observation, such as land cover and use updating, urban dynamics, or vegetation and crop monitoring. In the upcoming years even richer information will be available: more sophisticated hyperspectral sensors with high spectral resolution, multispectral sensors with sub-metric spatial detail or drones that can be deployed in very short time lapses. Besides such opportunities, these new and wealthy infor…

Earth observationGeospatial analysis010504 meteorology & atmospheric sciencesContextual image classificationbusiness.industryComputer scienceMultispectral image0211 other engineering and technologiesHyperspectral imaging02 engineering and technologycomputer.software_genreMachine learningPE&RC01 natural sciencesSupport vector machineKernel methodKernel (image processing)Laboratory of Geo-information Science and Remote SensingLife ScienceLaboratorium voor Geo-informatiekunde en Remote SensingArtificial intelligencebusinesscomputer021101 geological & geomatics engineering0105 earth and related environmental sciences
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The Ecology of Hyperparasitoids.

2021

Hyperparasitoids are some of the most diverse members of insect food webs. True hyperparasitoids parasitize the larvae of other parasitoids, reaching these larvae with their ovipositor through the herbivore that hosts the parasitoid larva. During pupation, primary parasitoids also may be attacked by pseudohyperparasitoids that lay their eggs on the parasitoid (pre)pupae. By attacking primary parasitoids, hyperparasitoids may affect herbivore population dynamics, and they have been identified as a major challenge in biological control. Over the past decades, research, especially on aphid- and caterpillar-associated hyperparasitoids, has revealed that hyperparasitoids challenge rules on nutri…

EntomologyFood ChainPopulationWaspsDuurzame gewasbeschermingBiologyInsect food webParasitoidHost-Parasite InteractionsMultitrophic interactionsAnimalsLaboratory of EntomologyeducationEcology Evolution Behavior and SystematicsTrophic leveleducation.field_of_studyHerbivoreAphidParasietenEcologyEcologyHost searching Hyperparasitoid Indirect interactions Insect food web Multitrophic interactions ParasitismIndirect interactionsHyperparasitoidbiology.organism_classificationPE&RCLaboratorium voor EntomologiePupaParasitismInsect ScienceLarvaHost searchingOvipositorEPSAnnual review of entomology
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A Deep Network Approach to Multitemporal Cloud Detection

2018

We present a deep learning model with temporal memory to detect clouds in image time series acquired by the Seviri imager mounted on the Meteosat Second Generation (MSG) satellite. The model provides pixel-level cloud maps with related confidence and propagates information in time via a recurrent neural network structure. With a single model, we are able to outline clouds along all year and during day and night with high accuracy.

FOS: Computer and information sciencesComputer Science - Machine Learning010504 meteorology & atmospheric sciencesComputer scienceFeature extraction0211 other engineering and technologiesCloud detectionFOS: Physical sciencesCloud computing02 engineering and technologyCloud detection01 natural sciencesMachine Learning (cs.LG)Laboratory of Geo-information Science and Remote SensingLaboratorium voor Geo-informatiekunde en Remote Sensing021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingbusiness.industrySeviriDeep learningDeep learningPE&RCPhysics - Atmospheric and Oceanic PhysicsRecurrent neural networkRecurrent neural networksAtmospheric and Oceanic Physics (physics.ao-ph)Convolutional neural networksSatelliteArtificial intelligencebusinessNetwork approachIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Impact of parasitoid-associated polydnaviruses on plant-mediated herbivore interactions

2022

Insect herbivores interact via plant-mediated interactions in which one herbivore species induces changes in plant quality that affects the performance of a second phytophagous insect that shares the food plant. These interactions are often asymmetric due to specificity in induced plant responses to herbivore attack, amount of plant damage, elicitors in herbivore saliva and plant organ damaged by herbivores. Parasitoids and their symbiotic polydnaviruses alter herbivore physiology and behaviour and may influence how plants respond to parasitized herbivores. We argue that these phenomena affect plant-mediated interactions between herbivores. We identify that the extended phenotype of parasit…

Food plantplant-mediated interaction networksInsectamedia_common.quotation_subjectWaspsInsectHost-Parasite InteractionsParasitoidLife ScienceAnimalsHerbivoryparasitoid microbetrait-mediated indirect interactionLaboratory of EntomologyEcology Evolution Behavior and Systematicsmedia_commonHerbivorebiologyEcologyextended phenotypefungifood and beveragesPlantsPE&RCLaboratorium voor Entomologiebiology.organism_classificationLarvaInsect Scienceplant-insect-microbe interactionPlant qualityCurrent Opinion in Insect Science
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