Search results for "Artificial"

showing 10 items of 7394 documents

Effect of Intensity and Mode of Artificial Upwelling on Particle Flux and Carbon Export

2021

Reduction of anthropogenic CO2 emissions alone will not sufficiently restrict global warming and enable the 1.5°C goal of the Paris agreement to be met. To effectively counteract climate change, measures to actively remove carbon dioxide from the atmosphere are required. Artificial upwelling has been proposed as one such carbon dioxide removal technique. By fueling primary productivity in the surface ocean with nutrient-rich deep water, it could potentially enhance downward fluxes of particulate organic carbon (POC) and carbon sequestration. In this study we investigated the effect of different intensities of artificial upwelling combined with two upwelling modes (recurring additions vs. on…

0106 biological sciences010504 meteorology & atmospheric sciencesPHYTOPLANKTON COMMUNITYScienceartificial upwellingchemistry.chemical_elementOcean EngineeringQH1-199.5Carbon sequestrationAquatic ScienceAtmospheric sciencesOceanography01 natural sciencesremineralization ratechemistry.chemical_compoundWater columnORGANIC-CARBONVDP::Matematikk og Naturvitenskap: 400::Geofag: 450particle propertiesOrganic matter1172 Environmental sciences0105 earth and related environmental sciencesWater Science and TechnologyCO2 CONCENTRATIONSTotal organic carbonchemistry.chemical_classificationGlobal and Planetary Change010604 marine biology & hydrobiologyQTECHNICAL NOTEUPPER OCEANGeneral. Including nature conservation geographical distributionsinking velocityPlanktoncarbon sequestrationMARINE SNOWBACTERIAL-GROWTHINVERSE RELATIONSHIPexport fluxchemistry13. Climate actionCarbon dioxideEnvironmental scienceUpwellingmesocosm studyremineralization depthCarbonTRANSPARENT EXOPOLYMER PARTICLESFrontiers in Marine Science
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Evolution of the human chromosome 13 synteny: Evolutionary rearrangements, plasticity, human disease genes and cancer breakpoints

2020

The history of each human chromosome can be studied through comparative cytogenetic approaches in mammals which permit the identification of human chromosomal homologies and rearrangements between species. Comparative banding, chromosome painting, Bacterial Artificial Chromosome (BAC) mapping and genome data permit researchers to formulate hypotheses about ancestral chromosome forms. Human chromosome 13 has been previously shown to be conserved as a single syntenic element in the Ancestral Primate Karyotype

0106 biological sciences0301 basic medicineChromosomes Artificial Bacteriallcsh:QH426-470PlasticityEvolutionContext (language use)BiologyBAC probeSettore BIO/08 - AntropologiaSynteny010603 evolutionary biology01 natural sciencesGenomeArticleEvolution Molecular03 medical and health sciencesPaintingBAC probesFISHNeoplasmsGeneticsAnimalsHumansPhylogenyGenetics (clinical)Chromosome 13SyntenyGene RearrangementMammalsBacterial artificial chromosomeAutosomeChromosomes Human Pair 13Chromosome MappingChromosomeKaryotypelcsh:Genetics030104 developmental biologyEvolutionary biologyHuman synteny
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The role of the Strait of Gibraltar in shaping the genetic structure of the Mediterranean Grenadier, Coryphaenoides mediterraneus, between the Atlant…

2017

24 pages, 4 figures, 4 tables, supplementary information https://dx.doi.org/10.1371/journal.pone.0174988.-- Data Availability: The mtDNA COI sequences can be accessed at BOLD systems through the sample ID: ME-9911; ME-11972; ME-13727; GLF011. New mtDNA COI sequences can be accessed at GenBank by the accession numbers KY345206 - KY345398. GenBank accession numbers for close related species of C. mediterraneus are: Coryphaenoides striaturus - KX656427.1, KX656428.1; Coryphaenoides murray - KX656411.1, KX656410.1; Coryphaenoides carapinus - KX656382.1, KX656381.1; Coryphaenoides brevibarbis - KX656377.1, KX656376.1, KX656375.1. An alignment in fasta with all the haplotypes and respective frequ…

0106 biological sciences0301 basic medicineMediterranean climateLife CyclesHeredityPopulation geneticslcsh:MedicineArtificial Gene Amplification and ExtensionBiochemistryPolymerase Chain Reaction01 natural sciencesBathyal zoneLarvaeMediterranean sealcsh:ScienceAtlantic OceanPrincipal Component Analysiseducation.field_of_studyMultidisciplinaryGeographyMitochondrial DNANucleic acidsGenetic MappingGenetic structureResearch ArticleFish ProteinsGene FlowForms of DNAPopulationZoologyBiologyResearch and Analysis MethodsModels Biological010603 evolutionary biologyElectron Transport Complex IVEvolution Molecular03 medical and health sciencesMediterranean SeaGeneticsAnimalsComputer Simulation14. Life underwaterMolecular Biology TechniqueseducationMolecular BiologyGibraltarEvolutionary BiologyPopulation Biologylcsh:RGenetic VariationBiology and Life SciencesPaleontologyBayes TheoremDNAGenetic divergenceGadiformes030104 developmental biologyHaplotypesGenetic LociEarth SciencesBiological dispersallcsh:QPaleogeneticsPopulation GeneticsMicrosatellite RepeatsDevelopmental BiologyPLoS ONE
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Survey of five major grapevine viruses infecting Blatina and Žilavka cultivars in Bosnia and Herzegovina

2021

The sanitary status of grapevines has not yet been considered sufficiently in vineyards throughout Bosnia and Herzegovina (BiH). An extensive survey of five major grapevine viruses in the country was carried out in 2019. A total of 630 samples from the two dominant autochthonous cultivars, named Žilavka and Blatina, were tested by DAS-ELISA for the presence of grapevine leafroll-associated viruses (GLRaV-1 and 3), grapevine fleck virus (GFkV), grapevine fanleaf virus (GFLV) and Arabis mosaic virus (ArMV). Eighty-eight % of the samples were positive for at least one virus, and all five viruses were detected, thought with different incidence, i.e. GLRaV-3 (84%), GFLV (43%), GLRaV-1 (14%), GFk…

0106 biological sciences0301 basic medicineVeterinary medicineArtificial Gene Amplification and ExtensionDisease VectorsPathology and Laboratory MedicinePolymerase Chain Reaction01 natural sciencesPlant VirusesMedical ConditionsXiphinemaMedicine and Health SciencesVitisCultivarNematode InfectionsFlowering PlantsPhylogenyData Managementeducation.field_of_studyMultidisciplinarybiologyPhylogenetic treeQREukaryotaPhylogenetic AnalysisGrapevine fanleaf virusPlantsPhylogeneticsInfectious DiseasesMedical MicrobiologyViral PathogensVirusesMedicineRNA ViralGrapevineViral VectorsPathogensPlant ViruseResearch ArticleComputer and Information SciencesSciencePopulationPlant DiseaseResearch and Analysis Methodsno key wordsMicrobiologyVirusArabis mosaic virus03 medical and health sciencesVirologyParasitic DiseasesEvolutionary SystematicsMolecular Biology TechniqueseducationMolecular BiologyMicrobial PathogensTaxonomyPlant DiseasesBosnia and HerzegovinaEvolutionary BiologyGenetic diversityOrganismsBiology and Life SciencesSettore AGR/12 - Patologia VegetaleReverse Transcriptase-Polymerase Chain Reactionbiology.organism_classificationVector-Borne DiseasesSpecies Interactions030104 developmental biologyViral Transmission and Infection010606 plant biology & botany
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Experimental evidence suggests that specular reflectance and glossy appearance help amplify warning signals

2017

AbstractSpecular reflection appears as a bright spot or highlight on any smooth glossy convex surface and is caused by a near mirror-like reflectance off the surface. Convex shapes always provide the ideal geometry for highlights, areas of very strong reflectance, regardless of the orientation of the surface or position of the receiver. Despite highlights and glossy appearance being common in chemically defended insects, their potential signalling function is unknown. We tested the role of highlights in warning colouration of a chemically defended, alpine leaf beetle, Oreina cacaliae. We reduced the beetles’ glossiness, hence their highlights, by applying a clear matt finish varnish on thei…

0106 biological sciences0301 basic medicinewarning colourationScience010603 evolutionary biology01 natural sciencesArticle03 medical and health sciencesglossinessleaf beetlesOreina cacaliaeAvoidance learningGeneralization (learning)specular reflectionComputer visionSpecular reflectionMultidisciplinarybiologyEcologybusiness.industryQRbiology.organism_classificationReflectivityOther Physical Sciences030104 developmental biologyMedicineArtificial intelligenceBiochemistry and Cell BiologybusinessLeaf beetleOreina cacaliaeScientific Reports
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Potential use of machine learning methods in assessment of Fusarium culmorum and Fusariumproliferatum growth and mycotoxin production in treatments w…

2021

Abstract The use of Fusarium-controlling fungicides is necessary to limit crop loss. Little is known about the effect of commercial antifungal formulations at sub-lethal doses, and their interaction with abiotic factors, on Fusarium culmorum and F. proliferatum development and on zearalenone and fumonisin biosynthesis, respectively. In the present study different treatments based on sulfur, trifloxystrobin and demethylation inhibitor fungicides (cyproconazole, tebuconazole and prothioconazole) under different environmental conditions, in Maize Extract Medium (MEM), are assayed in vitro. Then, several machine learning methods (neural networks, random forest and extreme gradient boosted trees…

0106 biological sciencesAntifungal AgentsWater activityBiologyMachine learningcomputer.software_genre01 natural sciencesFumonisinsZea maysMachine Learning03 medical and health scienceschemistry.chemical_compoundFusariumFumonisinGeneticsFusarium culmorumMycotoxinZearalenoneEcology Evolution Behavior and Systematics030304 developmental biologyTebuconazoleAbiotic component0303 health sciencesbusiness.industryfood and beveragesbiology.organism_classificationFungicideInfectious DiseaseschemistryArtificial intelligencebusinesscomputer010606 plant biology & botanyFungal biology
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Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs…

2020

Abstract Image processing and artificial intelligence (AI) techniques have been applied to analyze, evaluate and classify mulberry fruit according to their ripeness (unripe, ripe, and overripe). A total of 577 mulberries were graded by an expert and the images were captured by an imaging system. Then, the geometrical properties, color, and texture characteristics of each segmented mulberry was extracted using two feature reduction methods: Correlation-based Feature Selection subset (CFS) and Consistency subset (CONS). Artificial Neural Networks (ANN) and Support Vector Machine (SVM) were applied to classify mulberry fruit. ANN classification with the CFS subset feature extraction method res…

0106 biological sciencesArtificial neural networkbusiness.industryFeature extractionPattern recognitionFeature selectionImage processing04 agricultural and veterinary sciencesHorticulturecomputer.software_genreRipeness01 natural sciencesExpert system040501 horticultureMachine vision systemSupport vector machineArtificial intelligence0405 other agricultural sciencesbusinessAgronomy and Crop Sciencecomputer010606 plant biology & botanyFood ScienceMathematicsPostharvest Biology and Technology
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Experimentally induced community assembly of polypores reveals the importance of both environmental filtering and assembly history

2019

The community assembly of wood-inhabiting fungi follows a successional pathway, with newly emerging resource patches being colonised by pioneer species, followed by those specialised on later stages of decay. The primary coloniser species have been suggested to strongly influence the assembly of the later-arriving community. We created an artificial resource pulse and studied the assembly of polypores over an 11yr period to ask how the identities of the colonising species depend on the environmental characteristics and the assembly history of the dead wood unit. Our results support the view that community assembly in fungi is a highly stochastic process, as even detailed description of the …

0106 biological sciencesArtificial resource pulseTime seriesPioneer speciesEcologyCommunity assemblyEcologyHost (biology)Ecological ModelingCommunity structurePriority effectsDead woodPlant Science15. Life on landBiology010603 evolutionary biology01 natural sciencesWood-inhabiting fungiRestoration1181 Ecology evolutionary biologySpatial aggregationTree speciesPolyporesEcology Evolution Behavior and Systematics010606 plant biology & botanyFungal Ecology
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Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation

2019

Our understanding and ability to effectively monitor and manage coastal ecosystems are severely limited by observation methods. Automatic recognition of species in natural environment is a promising tool which would revolutionize video and image analysis for a wide range of applications in marine ecology. However, classifying fish from images captured by underwater cameras is in general very challenging due to noise and illumination variations in water. Previous classification methods in the literature relies on filtering the images to separate the fish from the background or sharpening the images by removing background noise. This pre-filtering process may negatively impact the classificat…

0106 biological sciencesBiometricsComputer sciencebusiness.industry010604 marine biology & hydrobiologyPattern recognitionSharpening010603 evolutionary biology01 natural sciencesConvolutional neural networkBackground noiseA priori and a posterioriArtificial intelligenceUnderwaterbusinessTransfer of learningClassifier (UML)
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Calibrating Expert Assessments Using Hierarchical Gaussian Process Models

2020

Expert assessments are routinely used to inform management and other decision making. However, often these assessments contain considerable biases and uncertainties for which reason they should be calibrated if possible. Moreover, coherently combining multiple expert assessments into one estimate poses a long-standing problem in statistics since modeling expert knowledge is often difficult. Here, we present a hierarchical Bayesian model for expert calibration in a task of estimating a continuous univariate parameter. The model allows experts' biases to vary as a function of the true value of the parameter and according to the expert's background. We follow the fully Bayesian approach (the s…

0106 biological sciencesComputer sciencepäätöksentekoRECONCILIATIONInferencecomputer.software_genre01 natural sciencesSTOCK ASSESSMENTenvironmental management010104 statistics & probabilityJUDGMENTSELICITATIONkalakantojen hoito111 Mathematicstilastolliset mallitReliability (statistics)Applied Mathematicsgaussiset prosessitfisheries sciencebias correctionexpert elicitationPROBABILITY62P1260G15symbols62F15Statistics and ProbabilityarviointimenetelmätBayesian probabilityenvironmental management.Bayesian inferenceMachine learningHEURISTICSsymbols.namesakeasiantuntijatMANAGEMENT0101 mathematicsGaussian processGaussian processCATCH LIMITSbusiness.industrybayesilainen menetelmä010604 marine biology & hydrobiologyUnivariateExpert elicitationOPINIONSupra BayesArtificial intelligenceHeuristicsbusinessFISHERIEScomputerBayesian Analysis
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