Search results for "tiques"

showing 10 items of 1274 documents

Phylogenomics Identifies an Ancestral Burst of Gene Duplications Predating the Diversification of Aphidomorpha

2019

Aphids (Aphidoidea) are a diverse group of hemipteran insects that feed on plant phloem sap. A common finding in studies of aphid genomes is the presence of a large number of duplicated genes. However, when these duplications occurred remains unclear, partly due to the high relatedness of sequenced species. To better understand the origin of aphid duplications we sequenced and assembled the genome of Cinara cedri, an early branching lineage (Lachninae) of the Aphididae family. We performed a phylogenomic comparison of this genome with 20 other sequenced genomes, including the available genomes of five other aphids, along with the transcriptomes of two species belonging to Adelgidae (a close…

0106 biological sciences:Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC]Gene duplicationAphidomorphaLineage (evolution)010603 evolutionary biology01 natural sciencesGenomeSyntenyDNA sequencingFilogèniaEvolution Molecular03 medical and health sciencessequencia genómicaSpecies SpecificityPhylogenomicsGene duplicationBioinformaticaGeneticsAdelgidaeAnimalsMolecular BiologyEcology Evolution Behavior and SystematicsDiscoveriesPhylogeny030304 developmental biologySegmental duplication0303 health sciencesAphidbiologyWhole Genome SequencingGene Expression Profilinggene duplicationfood and beveragesHigh-Throughput Nucleotide SequencingAfidomorfabiochemical phenomena metabolism and nutritionbiology.organism_classificationaphidsGenòmicaGene Expression RegulationEvolutionary biologyAphidsInsect ProteinsGenèticaMolecular Biology and Evolution
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Social process of adaptation to environmental changes: How eastern african societies intervene between crops and climate

2014

Abstract Studies on climate change can only be conducted on a long time scale, and observing how societies adapt their sowing practices to climate variability is challenging and costly. As an alternative, a space and time substitution design was used, changes in space corresponding to that induced in time by environmental change. On the eastern slope of Mount Kenya, the Tharaka community, originating from the lowlands (750 m), moved up to the midlands (950 m) with their lowland-adapted resources, whereas the Mwimbi, originating from wetter upland (1100 m), moved down to the midlands with their highland-adapted genetic resources. A weather station was installed at 950 and 1100 m, and a logis…

0106 biological sciencesAtmospheric ScienceEnsemencement010504 meteorology & atmospheric sciencesEnvironmental changeF08 - Systèmes et modes de cultureadaptation aux changements climatiqueshttp://aims.fao.org/aos/agrovoc/c_11701 natural scienceshttp://aims.fao.org/aos/agrovoc/c_2018http://aims.fao.org/aos/agrovoc/c_7142http://aims.fao.org/aos/agrovoc/c_72682. Zero hungerGlobal and Planetary ChangeAgroforestryEcologyAgriculturehttp://aims.fao.org/aos/agrovoc/c_203[ SDE.MCG ] Environmental Sciences/Global ChangesPratique culturaleGeography[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyCrop growth[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyP40 - Météorologie et climatologie[SDE.MCG]Environmental Sciences/Global ChangesClimate changeGrowing seasonSocietal impactsWeather stationAltitudehttp://aims.fao.org/aos/agrovoc/c_1374567058134E50 - Sociologie ruralehttp://aims.fao.org/aos/agrovoc/c_1666AdaptationClimate variability0105 earth and related environmental sciencesChangement climatiquebusiness.industrySowing15. Life on landhttp://aims.fao.org/aos/agrovoc/c_408613. Climate actionAgricultureSociologieAfricaAdaptationbusinessSocial Sciences (miscellaneous)010606 plant biology & botany
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Accounting for preferential sampling in species distribution models

2019

D. C., A. L. Q. and F. M. would like to thank the Ministerio de Educación y Ciencia (Spain) for financial support (jointly financed by the European Regional Development Fund) via Research Grants MTM2013‐42323‐P and MTM2016‐77501‐P, and ACOMP/2015/202 from Generalitat Valenciana (Spain). Species distribution models (SDMs) are now being widely used in ecology for management and conservation purposes across terrestrial, freshwater, and marine realms. The increasing interest in SDMs has drawn the attention of ecologists to spatial models and, in particular, to geostatistical models, which are used to associate observations of species occurrence or abundance with environmental covariates in a fi…

0106 biological sciencesComputer scienceQH301 BiologySpecies distributionPoint processesStochastic partial differential equation01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_6774EspèceAbundance (ecology)StatisticsPesqueríasQAOriginal Researchhttp://aims.fao.org/aos/agrovoc/c_241990303 health sciencesEcologyU10 - Informatique mathématiques et statistiquesSampling (statistics)Integrated nested Laplace approximationstochastic partial differential equationVariable (computer science)symbolsÉchantillonnageSpecies Distribution Models (SDMs)Modèle mathématiqueBayesian probabilityNDASDistribution des populations010603 evolutionary biologyQH30103 medical and health sciencessymbols.namesakeCovariateQA MathematicsSDG 14 - Life Below WaterCentro Oceanográfico de Murciaspecies distribution modelsRelative species abundanceEcology Evolution Behavior and Systematicspoint processes030304 developmental biologyNature and Landscape Conservationhttp://aims.fao.org/aos/agrovoc/c_6113http://aims.fao.org/aos/agrovoc/c_7280Markov chain Monte Carlointegrated nested Laplace approximationU30 - Méthodes de rechercheBayesian modelling
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Biotrickling filter modeling for styrene abatement. Part 1: Model development, calibration and validation on an industrial scale

2017

Abstract A three-phase dynamic mathematical model based on mass balances describing the main processes in biotrickling filtration: convection, mass transfer, diffusion, and biodegradation was calibrated and validated for the simulation of an industrial styrene-degrading biotrickling filter. The model considered the key features of the industrial operation of biotrickling filters: variable conditions of loading and intermittent irrigation. These features were included in the model switching from the mathematical description of periods with and without irrigation. Model equations were based on the mass balances describing the main processes in biotrickling filtration: convection, mass transfe…

0106 biological sciencesConvectionEngineeringEnvironmental EngineeringHealth Toxicology and MutagenesiseducationBiotrickling filter010501 environmental sciencesResidence time (fluid dynamics)01 natural scienceslaw.invention:Enginyeria química::Química del medi ambient::Química atmosfèrica [Àrees temàtiques de la UPC]Filter (large eddy simulation)Bioreactorslaw010608 biotechnologyMass transferEnvironmental ChemistryGases - PurificationVolatile organic compoundDiffusion (business)FiltrationStyrene0105 earth and related environmental scienceschemistry.chemical_classificationgeographyAir PollutantsVolatile Organic Compoundsgeography.geographical_feature_categorybusiness.industryPublic Health Environmental and Occupational HealthEnvironmental engineeringGeneral MedicineGeneral ChemistryPilot unitModels TheoreticalVolatile organic compoundInletPollutionGasos - DepuracióBiodegradation EnvironmentalchemistryCalibrationMathematical modelingBiological air treatmentbusinessFiltration
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Decision support systems (DSS) for wastewater treatment plants - A review of the state of the art.

2019

The use of decision support systems (DSS) allows integrating all the issues related with sustainable development in view of providing a useful support to solve multi-scenario problems. In this work an extensive review on the DSSs applied to wastewater treatment plants (WWTPs) is presented. The main aim of the work is to provide an updated compendium on DSSs in view of supporting researchers and engineers on the selection of the most suitable method to address their management/operation/design problems. Results showed that DSSs were mostly used as a comprehensive tool that is capable of integrating several data and a multi-criteria perspective in order to provide more reliable results. Only …

0106 biological sciencesDecision support systemWastewater treatment plant (WWTP)Environmental EngineeringComputer sciencemedia_common.quotation_subjectAigües residuals -- Depuració:Desenvolupament humà i sostenible::Enginyeria ambiental::Tractament de l'aigua [Àrees temàtiques de la UPC]Bioengineering010501 environmental sciencesDecision support systemsWastewater01 natural sciencesSoftwareSistemes d'ajuda a la decisióDecision support system (DSS)010608 biotechnologySustainable developmentDesenvolupament sostenibleQuality (business)Waste WaterDecision-makingSewage disposal plantsWaste Management and Disposal0105 earth and related environmental sciencesmedia_commonDSSSustainable developmentSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleMathematical modellingRenewable Energy Sustainability and the Environmentbusiness.industryDecision – making processDecision–making processUsabilityGeneral MedicineCompendiumWork (electrical)Risk analysis (engineering)Decision – making proce:Informàtica::Intel·ligència artificial [Àrees temàtiques de la UPC]businessSoftwareProcess optimizationBioresource technology
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Bayesian spatio-temporal approach to identifying fish nurseries by validating persistence areas

2015

Spatial and temporal closures of fish nursery areas to fishing have recently been recognized as useful tools for efficient fisheries management, as they preserve the reproductive potential of populations and increase the recruitment of target species. In order to identify and locate potential nursery areas for spatio-temporal closures, a solid understanding of species− environment relationships is needed, as well as spatial identification of fish nurseries through the application of robust analyses. One way to achieve knowledge of fish nurseries is to analyse the persistence of recruitment hotspots. In this study, we propose the comparison of different spatiotemporal model structures to ass…

0106 biological sciencesMediterranean climatehttp://aims.fao.org/aos/agrovoc/c_28840[SDV]Life Sciences [q-bio]01 natural sciencesMediterranean seaAbundance (ecology)Ecosystem approachEcologybiologyEcologyU10 - Informatique mathématiques et statistiquesinteraction élevage environnementmodèle de distributionMerluccius merlucciushttp://aims.fao.org/aos/agrovoc/c_41529zone de pêcheNursery areasSpatio temporal analysisanalyse bayésienneGeographyGestion des pêchesgestion spatialealevinageFisheries managementFishinganalyse spatiotemporellegestion des ressources naturellesAquatic Science010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026étude comparativeHakeMerluccius merluccius14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Distribution patternapproche ecosystémiqueÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologybiology.organism_classificationBiologie marineFisheryThéorie bayésiennehttp://aims.fao.org/aos/agrovoc/c_9000115M40 - Écologie aquatiqueBayesian hierarchical modellingMarine protected areaSpatial fisheries managementNursery areas;Distribution pattern;Ecosystem approach;Spatial fisheries management;Spatio temporal analysis;Bayesian hierarchical modelling;Merluccius merluccius
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Bayesian spatio-temporal discard model in a demersal trawl fishery

2014

Spatial management of discards has recently been proposed as a useful tool for the protection of juveniles, by reducing discard rates and can be used as a buffer against management errors and recruitment failure. In this study Bayesian hierarchical spatial models have been used to analyze about 440 trawl fishing operations of two different metiers, sampled between 2009 and 2012, in order to improve our understanding of factors that influence the quantity of discards and to identify their spatio-temporal distribution in the study area. Our analysis showed that the relative importance of each variable was different for each metier, with a few similarities. In particular, the random vessel eff…

0106 biological sciencesPerteSpatial correlationhttp://aims.fao.org/aos/agrovoc/c_28840Computer scienceProcess (engineering)Bayesian probabilitySede Central IEOAquatic ScienceOceanography01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_2173Abundance (ecology)Component (UML)http://aims.fao.org/aos/agrovoc/c_4438Pesquerías14. Life underwaterM11 - Production de la pêchehttp://aims.fao.org/aos/agrovoc/c_7881Ecology Evolution Behavior and SystematicsChalutageU10 - Informatique mathématiques et statistiques010604 marine biology & hydrobiologyhttp://aims.fao.org/aos/agrovoc/c_2801204 agricultural and veterinary sciencesDiscardsFisheryRessource marineVariable (computer science)Théorie bayésienneM40 - Écologie aquatique040102 fisheries0401 agriculture forestry and fisherieshttp://aims.fao.org/aos/agrovoc/c_2942Fisheries managementPêche démersale
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Modelling sensitive elasmobranchs habitat

2013

Basic information on the distribution and habitat preferences of ecologically important species is essential for their management and protection. In the Mediterranean Sea there is increasing concern over elasmobranch species because their biological (ecological) characteristics make them highly vulnerable to fishing pressure. Their removal could affect the structure and function of marine ecosystems, inducing changes in trophic interactions at the community level due to the selective elimination of predators or prey species, competitors and species replacement. In this study Bayesian hierarchical spatial models are used to map the sensitive habitats of the three most caught elasmobranch spe…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Etmopterus spinaxhabitatAquatic ScienceDistribution des populationshttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus010603 evolutionary biology01 natural sciencesElasmobranch habitatPredationMediterranean seahttp://aims.fao.org/aos/agrovoc/c_38127http://aims.fao.org/aos/agrovoc/c_3041Scyliorhinus caniculaMediterranean SeaVulnerable speciesMarine ecosystem14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Trophic levelhttp://aims.fao.org/aos/agrovoc/c_6113biologyEcologyU10 - Informatique mathématiques et statistiques010604 marine biology & hydrobiologyScyliorhinus caniculabiology.organism_classificationBiologie marinetechnique de prévisionBayesian hierarchical spatial modelSpecies distribution modelingFisheryHabitatThéorie bayésienneGaleus melastomusM40 - Écologie aquatiquehttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117Elasmobranchii
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GeneSys-Beet: A model of the effects of cropping systems on gene flow between sugar beet and weed beet

2008

A weedy form of the genus Beta, i.e. Beta vulgaris ssp. vulgaris (hence ''weed beet'') frequently found in sugar beet is impossible to eliminate with herbicides because of its genetic proximity to the crop. It is presumed to be the progeny of accidental hybrids between sugar beet (ssp. vulgaris) and wild beet (ssp. maritima), or of sugar beet varieties sensitive to vernalization and sown early in years with late cold spells. In this context, genetically modified (GM) sugar beet varieties tolerant to non-selective herbicides would be interesting to manage weed beet. However, because of the proximity of the weed to the crop, it is highly probable that the herbicide-tolerance transgene would b…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_890PopulationSoil ScienceContext (language use)H60 - Mauvaises herbes et désherbageFlux de gènesGenetically modified01 natural sciencesF30 - Génétique et amélioration des planteshttp://aims.fao.org/aos/agrovoc/c_9000024Crophttp://aims.fao.org/aos/agrovoc/c_37331http://aims.fao.org/aos/agrovoc/c_34285[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyhttp://aims.fao.org/aos/agrovoc/c_2018Cropping systemeducation2. Zero hungereducation.field_of_studybiologyU10 - Informatique mathématiques et statistiquesModélisation des culturesfungifood and beverages04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationWeed controlGene flowTillagePratique culturalehttp://aims.fao.org/aos/agrovoc/c_8347AgronomyOrganisme génétiquement modifié040103 agronomy & agriculture0401 agriculture forestry and fisheriesSugar beetBeta vulgarisWeedAgronomy and Crop ScienceMauvaise herbeModelCropping system010606 plant biology & botanyField Crops Research
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Metaheuristic procedures for the lexicographic bottleneck assembly line balancing problem

2015

The goal of this work is to develop an improved procedure for the solution of the lexicographic bottleneck variant of the assembly line balancing problem (LB-ALBP). The objective of the LB-ALBP is to minimize the workload of the most heavily loaded workstation, followed by the workload of the second most heavily loaded workstation and so on. This problem-recently introduced to the literature (Pastor, 2011)-has practical relevance to manufacturing facilities. We design, implement and fine-tune GRASP, tabu search (TS) and scatter search (SS) heuristics for the LB-ALBP and show that our procedures are able to obtain solutions of a quality that outperforms previous approaches. We rely on both s…

0209 industrial biotechnologyMathematical optimizationComputer scienceStrategy and Management0211 other engineering and technologiesassembly line balancingheuristics02 engineering and technologyManagement Science and Operations ResearchHeuristic algorithms.BottleneckManagement Information Systemslb-albp020901 industrial engineering & automation:Economia i organització d'empreses [Àrees temàtiques de la UPC]Genetic algorithmgenetic algorithmMetaheuristicsearchMarketingmetaheuristicsmodel021103 operations researchGRASPWorkloadTabu searchmultiplelexicographic bottleneckProgramació heurísticanetworkHeuristicsTreball en cadenaJournal of the Operational Research Society
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