Search results for "model [emission]"

showing 10 items of 625 documents

Detection of Allee effects in marine fishes: analytical biases generated by data availability and model selection

2017

The demographic Allee effect, or depensation, implies positive association between per capita population growth rate and population size at low abundances, thereby lowering growth ability of sparse populations. This can have far-reaching consequences on population recovery ability and colonization success. In the context of marine fishes, there is a widespread perception that Allee effects are rare or non-existent. However, studies that have failed to detect Allee effects in marine fishes have suffered from several fundamental methodological and data limitations. In the present study, we challenge the prevailing perception about the rarity of Allee effects by analysing nine populations of …

0106 biological sciencesPopulation DynamicsAtlantic herringBiologyModels Biological010603 evolutionary biology01 natural sciencesPopulation densityGeneral Biochemistry Genetics and Molecular BiologycompensationDepensationsymbols.namesakePer capitaAnimalsPopulation growth14. Life underwaterClupea harengusPopulation GrowthGeneral Environmental ScienceAllee effectlow-abundance dynamicsPopulation DensityModels StatisticalEcologyGeneral Immunology and MicrobiologyEcology010604 marine biology & hydrobiologyModel selectionPopulation sizestock–recruitment relationshipFishesBayes TheoremGeneral MedicineData availabilitydepensationsymbolsta1181General Agricultural and Biological SciencesProceedings of the Royal Society B: Biological Sciences
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Testing hypotheses in evolutionary ecology with imperfect detection: capture-recapture structural equation modeling.

2012

8 pages; International audience; Studying evolutionary mechanisms in natural populations often requires testing multifactorial scenarios of causality involving direct and indirect relationships among individual and environmental variables. It is also essential to account for the imperfect detection of individuals to provide unbiased demographic parameter estimates. To cope with these issues, we developed a new approach combining structural equation models with capture-recapture models (CR-SEM) that allows the investigation of competing hypotheses about individual and environmental variability observed in demographic parameters. We employ Markov chain Monte Carlo sampling in a Bayesian frame…

0106 biological sciencesPopulation Dynamicsselection gradient analysesBiologystate-space models010603 evolutionary biology01 natural sciencesModels BiologicalStructural equation modelingMark and recapture010104 statistics & probabilitystructural equation modelslife history tradeoffsAnimalsPasseriformes0101 mathematicsSet (psychology)Ecology Evolution Behavior and SystematicsSelection (genetic algorithm)Ecosystemcapture-recapture models[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyEcologyModel selectionCyanistesindividual heterogeneitybiology.organism_classificationCausalityBiological Evolutionevolutionary ecologyEvolutionary ecology[SDE.BE]Environmental Sciences/Biodiversity and EcologyEcology
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Is it advantageous for Atlantic salmon to be triploid at lower temperatures?

2020

Marine organisms living at low temperatures tend to have larger genomes and larger cells which suggest that these traits can be beneficial in colder environments. In fish, triploidy (three complete sets of chromosomes) can be induced experimentally following fertilization, which provides a model system to investigate the hypothesis that larger cells and genomes offers a physiological advantage at low temperatures. We tested this hypothesis by measuring metabolic rates and swimming performance of diploid and triploid Atlantic salmon (Salmo salar) post smolts acclimated to 3 or 10.5 °C. At 10.5 °C, triploids had significantly lower maximum metabolic rates which resulted in a lower aerobic sco…

0106 biological sciencesStrenuous ActivityPhysiology030310 physiologySalmo salarZoologyModel system010603 evolutionary biology01 natural sciencesBiochemistry03 medical and health sciencesOxygen ConsumptionHuman fertilizationVDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470AnimalsSalmoGenome sizeSwimming0303 health sciencesbiologyfungibiology.organism_classificationAdaptation PhysiologicalTriploidyCold TemperatureEctothermMetabolic ratePloidyGeneral Agricultural and Biological SciencesDevelopmental Biology
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Fruit size in relation to competition for resources: A common model shared by two species and several genotypes grown under contrasted carbohydrate l…

2012

International audience; Fruit size is one important criterion of fruit external quality affecting consumer acceptance. The effects of seed number on fruit size in two fleshy fruits, grape and tomato, of different genotypes and grown under distinct carbohydrate availability levels were analyzed with a model. The two-parameter model described within-fruit resource competition and was able to well represent the commonly observed decrease in fresh weight per seed along with the increase in number of seeds, regardless of species, genotypes, and carbohydrate levels that were evaluated in this study. However, carbohydrate levels largely modified the correlation between seed number and fresh weight…

0106 biological sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesCompetition levelmodel selectionmedia_common.quotation_subjectModel parametersQuantitative trait locusBiologytomatofruit load01 natural sciencessizeCompetition (biology)03 medical and health sciencesquantitative trait locusGenotype[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyVitis[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyDomestication030304 developmental biologymedia_common2. Zero hungerresource competition0303 health sciences[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesfungiFresh weightfood and beveragesCarbohydrateHorticultureAgronomyseed010606 plant biology & botany
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Oxygen and carbon isoscapes for the Baltic Sea : Testing their applicability in fish migration studies

2017

Conventional tags applied to individuals have been used to investigate animal movement, but these methods require tagged individuals be recaptured. Maps of regional isotopic variability known as “isoscapes” offer potential for various applications in migration research without tagging wherein isotope values of tissues are compared to environmental isotope values. In this study, we present the spatial variability in oxygen (δ18OH2O) and dissolved inorganic carbon (δ13CDIC) isotope values of Baltic Sea water. We also provide an example of how these isoscapes can reveal locations of individual animal via spatial probability surface maps, using the high-resolution salmon otolith isotope data fr…

0106 biological sciencesmodel evaluationIsoscapesSalmo salareducationchemistry.chemical_element010603 evolutionary biology01 natural sciencesspatial interpolationmicromillingDissolved organic carbonmedicine14. Life underwaterEcology Evolution Behavior and Systematics1172 Environmental sciencesOriginal ResearchNature and Landscape ConservationOtolithFish migrationEcologyIsotopeEcologyspatial assignment010604 marine biology & hydrobiologyisotopic landscapemedicine.anatomical_structureOceanographychemistryHabitat1181 Ecology evolutionary biologyEnvironmental scienceta1181Spatial variabilityspatial interpolationCarbon
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Eco-genetics of desiccation resistance in Drosophila.

2021

International audience; Climate change globally perturbs water circulation thereby influencing ecosystems including cultivated land. Both harmful and beneficial species of insects are likely to be vulnerable to such changes in climate. As small animals with a disadvantageous surface area to body mass ratio, they face a risk of desiccation. A number of behavioural, physiological and genetic strategies are deployed to solve these problems during adaptation in various Drosophila species. Over 100 desiccation-related genes have been identified in laboratory and wild populations of the cosmopolitan fruit fly Drosophila melanogaster and its sister species in large-scale and single-gene approaches…

0106 biological sciencesved/biology.organism_classification_rank.speciesPopulationGenome Insectadaptation010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyDesiccation tolerance03 medical and health sciencesGenetic variationevolutionAnimalsDesiccationModel organismeducationDrosophilagenomeclimateEcosystem030304 developmental biology0303 health scienceseducation.field_of_studybiologyved/biology[SDV.BA]Life Sciences [q-bio]/Animal biology[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]15. Life on landbiology.organism_classificationAdaptation PhysiologicalDrosophila melanogaster13. Climate actionEvolutionary biologyinsectDrosophilaDrosophila melanogasterAdaptation[SDV.EE.BIO]Life Sciences [q-bio]/Ecology environment/BioclimatologyGeneral Agricultural and Biological SciencesDesiccationBiological reviews of the Cambridge Philosophical SocietyREFERENCES
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Extreme minimal learning machine: Ridge regression with distance-based basis

2019

The extreme learning machine (ELM) and the minimal learning machine (MLM) are nonlinear and scalable machine learning techniques with a randomly generated basis. Both techniques start with a step in which a matrix of weights for the linear combination of the basis is recovered. In the MLM, the feature mapping in this step corresponds to distance calculations between the training data and a set of reference points, whereas in the ELM, a transformation using a radial or sigmoidal activation function is commonly used. Computation of the model output, for prediction or classification purposes, is straightforward with the ELM after the first step. In the original MLM, one needs to solve an addit…

0209 industrial biotechnologyComputer scienceCognitive Neuroscienceneuraalilaskentaneuroverkot02 engineering and technologyrandomized learning machinesSet (abstract data type)extreme learning machine020901 industrial engineering & automationArtificial Intelligenceextreme minimal learning machine0202 electrical engineering electronic engineering information engineeringExtreme learning machineta113Training setBasis (linear algebra)Model selectionminimal learning machineOverlearningComputer Science ApplicationskoneoppiminenTransformation (function)020201 artificial intelligence & image processingAlgorithmNeurocomputing
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Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing

2018

International audience; Bayesian networks (BNs) represent a promising approach for the aggregation of multiple uncertainty sources in manufacturing networks and other engineering systems for the purposes of uncertainty quantification, risk analysis, and quality control. A standardized representation for BN models will aid in their communication and exchange across the web. This article presents an extension to the predictive model markup language (PMML) standard for the representation of a BN, which may consist of discrete variables, continuous variables, or their combination. The PMML standard is based on extensible markup language (XML) and used for the representation of analytical models…

0209 industrial biotechnologyDesignComputer sciencecomputer.internet_protocol02 engineering and technologycomputer.software_genreBayesian inferenceIndustrial and Manufacturing EngineeringArticle[SPI]Engineering Sciences [physics]020901 industrial engineering & automationPMML0202 electrical engineering electronic engineering information engineeringanalyticsUncertainty quantificationMonte-Carlouncertaintycomputer.programming_languageParsingBayesian networkInformationSystems_DATABASEMANAGEMENTstandardPython (programming language)XMLComputer Science ApplicationsmanufacturingComputingMethodologies_PATTERNRECOGNITIONBayesian networksControl and Systems EngineeringSurface-RoughnessData analysisPredictive Model Markup Language020201 artificial intelligence & image processingData miningcomputerXML
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Longevity: Lesson from model organisms

2019

Research on longevity and healthy aging promises to increase our lifespan and decrease the burden of degenerative diseases with important social and economic effects. Many aging theories have been proposed, and important aging pathways have been discovered. Model organisms have had a crucial role in this process because of their short lifespan, cheap maintenance, and manipulation possibilities. Yeasts, worms, fruit flies, or mammalian models such as mice, monkeys, and recently, dogs, have helped shed light on aging processes. Genes and molecular mechanisms that were found to be critical in simple eukaryotic cells and species have been confirmed in humans mainly by the functional analysis of…

0301 basic medicineAginglcsh:QH426-470Settore MED/06 - Oncologia Medicamedia_common.quotation_subjectved/biology.organism_classification_rank.speciesLongevityReviewBiologySignal transductionSettore MED/08 - Anatomia PatologicaModels Biologicalmodel systems03 medical and health sciences0302 clinical medicineModel systemYeastsGeneticsAnimalsHumansHealthy agingSettore MED/49 - Scienze Tecniche Dietetiche ApplicateModel organismGeneGenetics (clinical)Cellular Senescencemedia_commonMammalsved/biologyLongevityEukaryotalcsh:GeneticsSettore MED/18 - Chirurgia Generale030104 developmental biologyEvolutionary biologyHuman longevityModels AnimalDrosophilaMolecular senescence030217 neurology & neurosurgeryBiomarkers
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Longevity-related molecular pathways are subject to midlife “switch” in humans

2019

Emerging evidence indicates that molecular aging may follow nonlinear or discontinuous trajectories. Whether this occurs in human neuromuscular tissue, particularly for the noncoding transcriptome, and independent of metabolic and aerobic capacities, is unknown. Applying our novel RNA method to quantify tissue coding and long noncoding RNA (lncRNA), we identified ~800 transcripts tracking with age up to ~60 years in human muscle and brain. In silico analysis demonstrated that this temporary linear “signature” was regulated by drugs, which reduce mortality or extend life span in model organisms, including 24 inhibitors of the IGF‐1/PI3K/mTOR pathway that mimicked, and 5 activators that oppos…

0301 basic medicineAgingved/biology.organism_classification_rank.speciesMuscle Fibers SkeletallihaksetTranscriptome0302 clinical medicineGene expressionGene Regulatory NetworksRNA-Seqmedia_commonCerebral CortexNeuronsreactive oxygen speciesihoTOR Serine-Threonine Kinasesmitochondrial complex 1LongevityBrainNon-coding RNAAlzheimer'sECSITCell biologytranskriptio (biologia)mTORRNA Long NoncodingOriginal ArticleaivotSignal TransductionAdultTranscriptional ActivationskinIn silicomedia_common.quotation_subjectLongevityBiology03 medical and health sciencesHumanslong noncoding RNAskeletal muscleModel organismGeneSirolimusved/biologyagingRNACell BiologyTwins MonozygoticOriginal Articles030104 developmental biologyikääntyminenRNATranscriptome030217 neurology & neurosurgery
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