Search results for "Computer Science"

showing 10 items of 22367 documents

Comparison of input data with different spatial resolution in landscape pattern analysis – A case study from northern Latvia

2017

A suitable spatial scale needs to be selected in geographical and landscape ecological research, and this requires great consideration as different scales have profound effect on derived landscape spatial patterns. Numerous studies have investigated the effects of different scales on landscape metrics using simulated patterns, but few have been conducted to compare different data sources with variable scale for regional- and landscape-scale assessments. Possibly this has occurred because researchers have been prone to use the best available source, a well-known standard, and easiest to use. This study was conducted to assess the impact of input data resolution on values of landscape pattern…

0106 biological sciencesCartographic generalization010504 meteorology & atmospheric sciencesGeography Planning and DevelopmentForestryLand cover010603 evolutionary biology01 natural sciencesVariable (computer science)GeographyThematic mapHabitatTourism Leisure and Hospitality ManagementSpatial ecologyScale (map)CartographyImage resolution0105 earth and related environmental sciencesGeneral Environmental ScienceApplied Geography
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Model‐based approaches to unconstrained ordination

2014

Summary Unconstrained ordination is commonly used in ecology to visualize multivariate data, in particular, to visualize the main trends between different sites in terms of their species composition or relative abundance. Methods of unconstrained ordination currently used, such as non-metric multidimensional scaling, are algorithm-based techniques developed and implemented without directly accommodating the statistical properties of the data at hand. Failure to account for these key data properties can lead to misleading results. A model-based approach to unconstrained ordination can address this issue, and in this study, two types of models for ordination are proposed based on finite mixtu…

0106 biological sciencesComputer science010604 marine biology & hydrobiologyEcological ModelingModel selectionLatent variableMixture modelcomputer.software_genre010603 evolutionary biology01 natural sciencesData typeStatistical inferenceOrdinationMultidimensional scalingData miningLatent variable modelcomputerEcology Evolution Behavior and SystematicsMethods in Ecology and Evolution
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Fermentation at non-conventional conditions in food- and bio-sciences by the application of advanced processing technologies

2017

The interest in improving the yield and productivity values of relevant microbial fermentations is an increasingly important issue for the scientific community. Therefore, several strategies have been tested for the stimulation of microbial growth and manipulation of their metabolic behavior. One promising approach involves the performance of fermentative processes during non-conventional conditions, which includes high pressure (HP), electric fields (EF) and ultrasound (US). These advanced technologies are usually applied for microbial inactivation in the context of food processing. However, the approach described in this study focuses on the use of these technologies at sub-lethal levels,…

0106 biological sciencesComputer scienceFood HandlingContext (language use)Bacterial Physiological Phenomena01 natural sciencesApplied Microbiology and BiotechnologyFight-or-flight response0404 agricultural biotechnologyElectricity010608 biotechnologyPressure[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringMetabolic StressBacteriabusiness.industry[SDE.IE]Environmental Sciences/Environmental EngineeringTemperature04 agricultural and veterinary sciencesGeneral Medicine040401 food scienceMicrobial inactivationBiotechnologyHigh pressureFermentationFood processingFermentationStress conditionsBiochemical engineeringbusinessBiotechnology
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Novel Thermal Technologies and Fermentation

2016

Fermentation is one of the oldest methods practiced by human beings for the transformation of some food products in order to extend shelf-life and provide novel organoleptic properties. Moreover, during fermentation a high amount of valuable compounds with important commercial benefits are produced. Therefore, there is a need to develop energy efficient and environmental-friendly sustainable processes in order to improve fermentation-related processes. Traditionally, conventional thermal treatments have been used in food fermentation; however, the organoleptic properties of the treated products can be altered. As a result, alternative approaches have been sought by food industries in order …

0106 biological sciencesComputer scienceOrganoleptic02 engineering and technology021001 nanoscience & nanotechnology01 natural sciences010608 biotechnologyFood productsThermalFermentationBiochemical engineering0210 nano-technologyFood qualityFermentation in food processingEfficient energy use
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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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Taxonomy 2.0: computer-aided identification tools to assist Antarctic biologists in the field and in the laboratory

2020

Species inventories are essential to the implementation of conservation policies to mitigate biodiversity loss and maintain ecosystem services and their value to the society. This is particularly topical with respect to climate change and direct anthropogenic effects on Antarctic biodiversity, with the identification of the most at-risk taxa and geographical areas becoming a priority. Identification tools are often neglected and considered helpful only for taxonomists. However, the development of new online information technologies and computer-aided identification tools provides an opportunity to promote them to a wider audience, especially considering the emerging generation of scientists…

0106 biological sciencesComputer science[SDV]Life Sciences [q-bio]BiodiversityEvolution des espècesOceanography010603 evolutionary biology01 natural sciencesEcosystem servicesDatabaseKnowledge baseBiodiversity conservationOcéanographie physique et chimique14. Life underwaterGéologieComputingMilieux_MISCELLANEOUSEcology Evolution Behavior and SystematicsXper3Taxonomic keyEcologiebiologybusiness.industry010604 marine biology & hydrobiologyOdontasteridaeInformation technologyGeologyField guides15. Life on landbiology.organism_classificationData scienceKnowledge base13. Climate action[SDE]Environmental SciencesManagement systemComputer-aidedbusinessSoftwareAntarctic Science
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A Marine Spatial Planning Approach to Minimize Discards: Challenges and Opportunities of the Landing Obligation in European Waters

2018

A sensible approach to minimize discards is to avoid areas or seasons where unwanted catch may be present. The implementation of a Marine Spatial Planning (MSP) approach to discard management requires the understanding of marine biological processes, as well as fishing conditions at a defined spatial scale. Mathematical models that analyze the spatio-temporal conditions of selected fishing areas allow the definition of different scenarios where discards are minimized by avoiding fishing for unwanted species and/or illegal specimens. Here we show some examples of how particular spatial models can be used for advice on MSP for discards. We introduce a geoserver GIS platform developed to produ…

0106 biological sciencesComputer sciencebusiness.industry010604 marine biology & hydrobiologyEnvironmental resource managementFishingMarine spatial planning010603 evolutionary biology01 natural sciencesCentro Oceanográfico de A CoruñaGeneralLiterature_MISCELLANEOUSDiscardsSpatial ecologyPesqueríasObligationbusiness
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Wine Aroma Concentration by Using a General Purpose simulator (ProSim)

1995

In this work is proposed the application of the ProSim process simulator for the analysis of wine aroma concentration by performing a two-level simulation: First, ProSim is used to attain a preliminary design of a distillation tower, and afterward the simulator is employed to analyze the behavior of the tower in a more precise way. The UNIFAC model was used for nonideal behavior description of the mixtures. In this application, the concentration of a 13-compound mixture was simulated. In fact, the numerical methods implemented in ProSim made it possible to attain the convergence quickly even with minor compounds. The results obtained showed that the use of ProSim results to be very advanta…

0106 biological sciencesComputer sciencebusiness.industryGeneral Chemical Engineering04 agricultural and veterinary sciences040401 food science01 natural sciencesIndustrial and Manufacturing Engineering0404 agricultural biotechnologyFractionating column010608 biotechnologyProcess engineeringbusinessUNIFACFood ScienceFood Science and Technology International
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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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Benchmark database for fine-grained image classification of benthic macroinvertebrates

2018

Managing the water quality of freshwaters is a crucial task worldwide. One of the most used methods to biomonitor water quality is to sample benthic macroinvertebrate communities, in particular to examine the presence and proportion of certain species. This paper presents a benchmark database for automatic visual classification methods to evaluate their ability for distinguishing visually similar categories of aquatic macroinvertebrate taxa. We make publicly available a new database, containing 64 types of freshwater macroinvertebrates, ranging in number of images per category from 7 to 577. The database is divided into three datasets, varying in number of categories (64, 29, and 9 categori…

0106 biological sciencesComputer scienceta1172Sample (statistics)monitorointi02 engineering and technologyneuroverkot01 natural sciencesConvolutional neural network0202 electrical engineering electronic engineering information engineeringkonenäköfine-grained classification14. Life underwaterFine-grained classificationInvertebrateta113ta112Contextual image classificationbusiness.industry010604 marine biology & hydrobiologyDeep learningConvolutional Neural NetworksBenchmark databasedeep learningPattern recognitionDeep learningselkärangattomatvedenlaatu6. Clean waterkoneoppiminenBenthic zoneBenthic macroinvertebratesbiomonitoringSignal ProcessingBiomonitoringta1181lajinmääritys020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligenceWater qualitybusinessbenthic macroinvertebrates
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