Search results for "Information Retrieval"

showing 10 items of 924 documents

Un estudio comparativo entre dos herramientas de respuesta de audiencia en las aulas universitarias

2019

El objetivo de este texto es investigar la influencia del uso de herramientas tecnológicas en las aulas universitarias. En concreto, analizamos y evaluamos la aplicación de dos herramientas de respuesta de audiencia libres (específicamente Socrative y Kahoot!) como herramientas que fomentan la participación y asistencia de los alumnos a las sesiones teóricas y facilitan el proceso de enseñanza-aprendizaje. Se analiza si estas herramientas pueden ser utilizadas como motivadoras, fomentadoras de la participación del alumnado y facilitadoras del aprendizaje. Además, la opinión de los estudiantes sobre la utilidad de estas herramientas en el aula y como métodos de enseñanza-aprendizaje. La mues…

010302 applied physicsEmerging technologiesmedia_common.quotation_subject05 social sciencesUniversity teachersAttendance050301 educationGeneral Medicine01 natural sciencesInformation and Communications Technology0103 physical sciencesPedagogyPublic universityRelevance (information retrieval)Psychology0503 educationPublicitymedia_commonRevista Perspectiva Empresarial
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Statistical retrieval of atmospheric profiles with deep convolutional neural networks

2019

Abstract Infrared atmospheric sounders, such as IASI, provide an unprecedented source of information for atmosphere monitoring and weather forecasting. Sensors provide rich spectral information that allows retrieval of temperature and moisture profiles. From a statistical point of view, the challenge is immense: on the one hand, “underdetermination” is common place as regression needs to work on high dimensional input and output spaces; on the other hand, redundancy is present in all dimensions (spatial, spectral and temporal). On top of this, several noise sources are encountered in the data. In this paper, we present for the first time the use of convolutional neural networks for the retr…

010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesWeather forecasting02 engineering and technologycomputer.software_genreAtmospheric measurements01 natural sciencesConvolutional neural networkLinear regressionRedundancy (engineering)Information retrievalInfrared measurementsComputers in Earth SciencesEngineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesArtificial neural networkbusiness.industryDeep learningDimensionality reductionPattern recognitionAtomic and Molecular Physics and OpticsComputer Science Applications13. Climate actionNoise (video)Artificial intelligencebusinesscomputerNeural networksISPRS Journal of Photogrammetry and Remote Sensing
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Understanding deep learning in land use classification based on Sentinel-2 time series

2020

AbstractThe use of deep learning (DL) approaches for the analysis of remote sensing (RS) data is rapidly increasing. DL techniques have provided excellent results in applications ranging from parameter estimation to image classification and anomaly detection. Although the vast majority of studies report precision indicators, there is a lack of studies dealing with the interpretability of the predictions. This shortcoming hampers a wider adoption of DL approaches by a wider users community, as model’s decisions are not accountable. In applications that involve the management of public budgets or policy compliance, a better interpretability of predictions is strictly required. This work aims …

010504 meteorology & atmospheric sciencesEnvironmental economicsComputer scienceProcess (engineering)0211 other engineering and technologieslcsh:MedicineClimate changeContext (language use)02 engineering and technology01 natural sciencesArticleRelevance (information retrieval)lcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesInterpretabilityMultidisciplinaryLand useContextual image classificationbusiness.industryDeep learninglcsh:RClimate-change policy15. Life on landComputer scienceData scienceEnvironmental sciencesEnvironmental social sciences13. Climate actionlcsh:QAnomaly detectionArtificial intelligencebusinessCommon Agricultural PolicyAgroecologyScientific Reports
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Emendation of Rules 5b, 8, 15 and 22 of the International Code of Nomenclature of Prokaryotes to include the rank of phylum.

2021

Following the International Committee on Systematics of Prokaryotes electronic discussion and vote on proposals to include the rank of phylum in the rules of the International Code of Nomenclature of Prokaryotes, we here announce the results of the ballot. We also present draft versions of the emended Rules 5b, 8, 15 and 22, based on the outcome of the ballot, to be included in the proposal for the preparation of a new revision of the International Code of Nomenclature of Prokaryotes.

0106 biological sciences0301 basic medicineInformation retrievalPhylumRank (computer programming)General MedicineC500Biology010603 evolutionary biology01 natural sciencesMicrobiologyInternational code03 medical and health sciences030104 developmental biologyBallotProkaryotic CellsTerminology as TopicNomenclatureEcology Evolution Behavior and SystematicsPhylogenyInternational journal of systematic and evolutionary microbiology
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Private information alone can trigger trapping of ant colonies in local feeding optima.

2015

Ant colonies are famous for using trail pheromones to make collective decisions. Trail pheromone systems are characterised by positive feedback, which results in rapid collective decision making. However, in an iconic experiment, ants were shown to become 'trapped' in exploiting a poor food source, if it was discovered earlier. This has conventionally been explained by the established pheromone trail becoming too strong for new trails to compete. However, many social insects have a well-developed memory, and private information often overrules conflicting social information. Thus, route memory could also explain this collective 'trapping' effect. Here, we disentangled the effects of social …

0106 biological sciences0301 basic medicinePhysiologyComputer scienceAquatic ScienceTrail pheromone010603 evolutionary biology01 natural sciencesChoice BehaviorPheromonesMicroeconomics03 medical and health sciencesMemoryAnimalsSocial informationSocial BehaviorMolecular BiologyPrivate information retrievalEcology Evolution Behavior and SystematicsCommunicationAppetitive Behaviorbusiness.industryAntsAnt colonyGroup decision-making030104 developmental biologyInsect SciencePheromoneAnimal Science and ZoologybusinessThe Journal of experimental biology
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Use of waggle dance information in honey bees is linked to gene expression in the antennae, but not in the brain.

2021

AbstractCommunication is essential for social animals, but deciding how to utilize information provided by conspecifics is a complex process that depends on environmental and intrinsic factors. Honey bees use a unique form of communication, the waggle dance, to inform nestmates about the location of food sources. However, as in many other animals, experienced individuals often ignore this social information and prefer to rely on prior experiences, i.e. private information. The neurosensory factors that drive the decision to use social information are not yet understood. Here we test whether the decision to use social dance information or private information is linked to gene expression diff…

0106 biological sciences0301 basic medicinemedia_common.quotation_subjectGene ExpressionBiology010603 evolutionary biology01 natural sciencesSocial dance570 Life sciences03 medical and health sciencesPerceptionGeneticsAnimalsAnimal communicationPrivate information retrievalEcology Evolution Behavior and Systematicsmedia_commonCommunicationbusiness.industryBrainWaggle danceCognitionBeesAnimal Communication030104 developmental biologyFoodMushroom bodiesOdorantsSocial animalbusiness570 BiowissenschaftenInformation integrationMolecular ecologyREFERENCES
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Octopamine and dopamine mediate waggle dance following and information use in honeybees.

2020

Honeybees can be directed to profitable food sources by following waggle dances performed by other bees. Followers can often choose between using this social information or relying on memories about food sources they have visited in the past, so-called private information. While the circumstances that favour the use of either social or private information have received considerable attention, still little is known about the neurophysiological basis of information use. We hypothesized that octopamine and dopamine, two biogenic amines with important functions in reward signalling and learning, affect dance use in honeybees. We orally administered octopamine and dopamine when bees collected fo…

0106 biological sciencesBees/physiologyDancemedia_common.quotation_subjectDopamine010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyOctopamine/metabolism03 medical and health scienceschemistry.chemical_compoundReward systemPerceptionAnimalsBehaviourSocial BehaviorPrivate information retrievalOctopamine030304 developmental biologyGeneral Environmental Sciencemedia_common0303 health sciencesGeneral Immunology and MicrobiologyInformation flowWaggle danceGeneral MedicineOctopamine (drug)BeesSocial learningDopamine/metabolismAnimal CommunicationchemistryGeneral Agricultural and Biological SciencesPsychologyCognitive psychologyProceedings. Biological sciences
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Management Elements for Two Alburninae Species, Alburnus alburnus (Linnaeus, 1758) and Alburnoides bipunctatus (Bloch, 1782) Based on a Decision-Supp…

2019

Abstract ADONIS:CE has been used as a base to create a support-system management decision-making model for Alburnus alburnus (Linnaeus, 1758) and Alburnoides bipunctatus (Bloch, 1782) species. Investigation of the habitat necessities and the identification of the necessary elements for a good status of conservation of these two fish species populations has revealed the pressures and threats to these congener species, for which specific management activities have been finally recommended.

0106 biological sciencesDecision support systemThesaurus (information retrieval)biologyEcologybusiness.industry010604 marine biology & hydrobiology010501 environmental scienceshuman activities negative effectscomputer.software_genrebiology.organism_classification01 natural sciencesAlburnus alburnusschneiderGeographyAlburnoides bipunctatusbleakArtificial intelligencefish habitat needsbusinesscomputerconservation management elementsNatural language processingQH540-549.50105 earth and related environmental sciencesTransylvanian Review of Systematical and Ecological Research
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Inferring individual fate from aquatic acoustic telemetry data

2020

13 pages, 8 figures, 1 table.-- This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

0106 biological sciencesInformation retrievalSurvivalComputer science010604 marine biology & hydrobiologyEcological ModelingFateNatural mortalityPredationDispersalVDP::Matematikk og Naturvitenskap: 400Creative commonsFishing mortality010603 evolutionary biology01 natural sciencesTelemetryTable (database)Acoustic telemetry14. Life underwaterLicenseFish behaviourEcology Evolution Behavior and Systematics
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A conceptual framework for the integral management of marine protected areas

2009

A general conceptual framework for the management of marine protected areas (MPAs) was developed. The driver-pressure-state-impacts-response (DPSIR) framework was used to determine the elements affecting MPAs. The developed evaluation framework helped to select an appropriate suite of indicators to support an ecosystem approach, an assessment of the MPAs functioning and policy decisions. Gaps derived from the management and policy responses in the MPAs were also outlined. It was concluded that the DPSIR framework can help to simplify the complexity of MPA management. This document is a tool for policy makers, scientists and general public on the relevance of indicators to monitor changes an…

0106 biological sciences[SDE.MCG]Environmental Sciences/Global Changes010501 environmental sciencesManagement Monitoring Policy and LawAquatic ScienceOceanography01 natural sciencesPolicy decisionConceptual frameworkEcosystem approachMarine protected areasCentro Oceanográfico de CanariasRelevance (information retrieval)Zoología14. Life underwaterMedio Marino0105 earth and related environmental sciencesbusiness.industry010604 marine biology & hydrobiologyDPSIREnvironmental resource managementMarine protected areas Mediterranean DPSIREcologíaManagementConceptual framework13. Climate actionConceptual designMarine protected areaBusiness
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