Search results for " applications."

showing 10 items of 4344 documents

Identifying small pelagic Mediterranean fish schools from acoustic and environmental data using optimized artificial neural networks

2019

Abstract The Common Fisheries Policy of the European Union aims to exploit fish stocks at a level of Maximum Sustainable Yield by 2020 at the latest. At the Mediterranean level, the General Fisheries Commission for the Mediterranean (GFCM) has highlighted the importance of reversing the observed declining trend of fish stocks. In this complex context, it is important to obtain reliable biomass estimates to support scientifically sound advice for sustainable management of marine resources. This paper presents a machine learning methodology for the classification of pelagic species schools from acoustic and environmental data. In particular, the methodology was tuned for the recognition of an…

0106 biological sciencesMarine conservationMaximum sustainable yieldFish stockFish school010603 evolutionary biology01 natural sciencesAcoustic surveyEnvironmental dataAnchovymedia_common.cataloged_instanceEuropean unionEcology Evolution Behavior and Systematicsmedia_commonEcologybiologySettore INF/01 - Informaticabusiness.industry010604 marine biology & hydrobiologyApplied MathematicsEcological ModelingEnvironmental resource managementPelagic zonebiology.organism_classificationClassificationComputer Science ApplicationsGeographyComputational Theory and MathematicsFishing industryModeling and SimulationbusinessNeural networks
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Poplar Biochar as an Alternative Substrate for Curly Endive Cultivated in a Soilless System

2020

Imminent necessity for eco-friendly and low-cost substitutes to peat is a defiance in the soilless plant cultivation systems. Wood biochar could entirely or partly substitute peat as a plant growing constituent to produce vegetables. Nevertheless, knowledge concerning potential plant performance of leafy green vegetables grown on wood biochar is restricted. The present study assessed the main physicochemical traits of various growing media constituted by decreasing the content of peat and by increasing the percentages of poplar wood biochar. Yield, nutritional and functional properties of curly endive plants cultivated in a protected environment were also tested. Biochar was pyrolyzed from …

0106 biological sciencesPeatpyrolysis temperatureSettore AGR/13 - Chimica AgrariaSettore AGR/04 - Orticoltura E Floricolturalcsh:Technologyquality traits01 natural scienceslcsh:Chemistrysoilless cultivationsubstrate mixtureBiocharGeneral Materials ScienceDry matterCichorium endivia L. var. crispumParticle densitylcsh:QH301-705.5InstrumentationLeafysubstrate mixturesFluid Flow and Transfer Processespoplar wood biochar; pyrolysis temperature; Cichorium endivia L. var. crispum; soilless cultivation; substrate mixtures; quality traitslcsh:TChemistryProcess Chemistry and TechnologyGeneral Engineeringpoplar wood biochar04 agricultural and veterinary sciencesAscorbic acidBulk densitylcsh:QC1-999Computer Science ApplicationsHorticulture<i>cichorium endivia</i> l. var. <i>crispum</i>lcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040040103 agronomy & agriculture0401 agriculture forestry and fisherieslcsh:Engineering (General). Civil engineering (General)Pyrolysislcsh:Physics010606 plant biology & botanyApplied Sciences
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Exploring the development of scientific research on Marine Protected Areas: From conservation to global ocean sustainability

2021

Abstract Marine Protected Areas (MPAs) are playing a central role in the achievement of ocean sustainability and, since 2000, their global coverage has increased over ten times. The success of MPAs, and therefore the delivery of their potential outcomes for human well-being and global sustainability, requires multi-disciplinary, holistic, and comprehensive approaches for its achievement. In this study, the global scientific literature on MPAs was quantitatively reviewed through bibliometrics approaches, investigating patterns and trends in its development over time. In particular, bibliometric network and citation burst analyses of keywords were performed using VOSviewer and CiteSpace softw…

0106 biological sciencesSettore BIO/07 - EcologiaSociology of scientific knowledgeSocial-ecological systemCiteSpace softwareSustainability studiesScientific literatureBibliometrics010603 evolutionary biology01 natural sciencesBibliometric analysisNature conservationEnvironmental planningEcology Evolution Behavior and SystematicsCitation burst analysisEcologyHuman DimensionSocial-ecological systems010604 marine biology & hydrobiologyApplied MathematicsEcological ModelingMarine spatial planningComputer Science ApplicationsGeographyComputational Theory and MathematicsModeling and SimulationSustainabilityVOSviewer softwareMarine protected areaBibliometric analysiBibliometric analysis; Citation burst analysis; CiteSpace software; Nature conservation; Social-ecological systems; VOSviewer software
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A global occurrence database of the Atlantic blue crab Callinectes sapidus

2021

The Atlantic blue crab Callinectes sapidus is a portunid native to the western Atlantic, from New England to Uruguay. The species was introduced in Europe in 1901 where it has become invasive; additionally, a significant northward expansion has been emphasized in its native range. Here we present a harmonized global compilation of C. sapidus occurrences from native and non-native distribution ranges derived from online databases (GBIF, BISON, OBIS, and iNaturalist) as well as from unpublished and published sources. The dataset consists of 40,388 geo-referenced occurrences, 39,824 from native and 564 from non-native ranges, recorded in 53 countries. The implementation of quality controls imp…

0106 biological sciencesStatistics and ProbabilityData DescriptorCallinectesRange (biology)BrachyuraScienceLibrary and Information Sciencescomputer.software_genre010603 evolutionary biology01 natural sciencesEducationNew englandAnimalsMacroecologyInvasive speciesDatabasebiologyAnimal010604 marine biology & hydrobiologyQinvasive species blue crab global occurrence databaseBiodiversitybiology.organism_classificationComputer Science ApplicationsGeographyBiogeographyStatistics Probability and UncertaintyIntroduced SpeciescomputerAnimal DistributionInformation SystemsScientific Data
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Hierarchical log Gaussian Cox process for regeneration in uneven-aged forests

2021

We propose a hierarchical log Gaussian Cox process (LGCP) for point patterns, where a set of points x affects another set of points y but not vice versa. We use the model to investigate the effect of large trees to the locations of seedlings. In the model, every point in x has a parametric influence kernel or signal, which together form an influence field. Conditionally on the parameters, the influence field acts as a spatial covariate in the intensity of the model, and the intensity itself is a non-linear function of the parameters. Points outside the observation window may affect the influence field inside the window. We propose an edge correction to account for this missing data. The par…

0106 biological sciencesStatistics and ProbabilityFOS: Computer and information sciences62F15 (Primary) 62M30 60G55 (Secondary)MCMCGaussianBayesian inferenceMarkovin ketjutStatistics - Applications010603 evolutionary biology01 natural sciencesCox processMethodology (stat.ME)010104 statistics & probabilitysymbols.namesakeregeneraatio (biologia)Applied mathematicsApplications (stat.AP)0101 mathematicsLaplace approximationStatistics - MethodologyGeneral Environmental ScienceParametric statisticsMathematicsspatial random effectsbayesilainen menetelmäMarkov chain Monte CarloFunction (mathematics)15. Life on landMissing dataMonte Carlo -menetelmätcompetition kernelLaplace's methodKernel (statistics)symbolstree regenerationpuustometsänhoitomatemaattiset mallitStatistics Probability and Uncertainty
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Reconstruction and analysis of genome-scale metabolic model of a photosynthetic bacterium

2010

Abstract Background Synechocystis sp. PCC6803 is a cyanobacterium considered as a candidate photo-biological production platform - an attractive cell factory capable of using CO2 and light as carbon and energy source, respectively. In order to enable efficient use of metabolic potential of Synechocystis sp. PCC6803, it is of importance to develop tools for uncovering stoichiometric and regulatory principles in the Synechocystis metabolic network. Results We report the most comprehensive metabolic model of Synechocystis sp. PCC6803 available, iSyn669, which includes 882 reactions, associated with 669 genes, and 790 metabolites. The model includes a detailed biomass equation which encompasses…

0106 biological sciencesSystems biologyIn silicoMetabolic networkComputational biologyBiologyModels Biological01 natural sciencesMetabolic engineeringGene Knockout Techniques03 medical and health sciencesStructural BiologyModelling and Simulation010608 biotechnologyBotanyBiomassPhotosynthesislcsh:QH301-705.5Molecular Biology030304 developmental biologyAutotrophic Processes0303 health sciencesGene Expression ProfilingApplied MathematicsSynechocystisSynechocystisGenomicsDarknessbiology.organism_classificationComputer Science ApplicationsFlux balance analysislcsh:Biology (General)Genes BacterialAutotrophic ProcessesModeling and SimulationEnergy sourceGenome BacterialResearch ArticleBMC Systems Biology
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Reviewing research priorities in weed ecology, evolution and management: a horizon scan.

2018

Weedy plants pose a major threat to food security, biodiversity, ecosystem services and consequently to human health and wellbeing. However, many currently used weed management approaches are increasingly unsustainable. To address this knowledge and practice gap, in June 2014, 35 weed and invasion ecologists, weed scientists, evolutionary biologists and social scientists convened a workshop to explore current and future perspectives and approaches in weed ecology and management. A horizon scanning exercise ranked a list of 124 pre-submitted questions to identify a priority list of 30 questions. These questions are discussed under seven themed headings that represent areas for renewed and em…

0106 biological sciencesagroecologyCrop and Pasture ProductionLife on LandEcology (disciplines)Molecular Plant PhysiologyPlant Scienceweed adaptation01 natural sciencesEcosystem servicesEcogenomicsTransdisciplinarityPolitical scienceinvasive plantsAgroecologyReview PapersEcology Evolution Behavior and Systematics2. Zero hungerReview PaperFood securityEcologybusiness.industrytransdisciplinary researchAgronomy & Agriculture04 agricultural and veterinary sciences15. Life on land13. Climate actionAgricultureintegrated weed managementEcological Applications040103 agronomy & agriculture0401 agriculture forestry and fisheriesWeedbusinessAgronomy and Crop ScienceDisciplineOT Team Schimmels Onkr. en Plagen010606 plant biology & botany
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A haplotype-resolved, de novo genome assembly for the wood tiger moth (Arctia plantaginis) through trio binning

2020

ABSTRACT Background Diploid genome assembly is typically impeded by heterozygosity because it introduces errors when haplotypes are collapsed into a consensus sequence. Trio binning offers an innovative solution that exploits heterozygosity for assembly. Short, parental reads are used to assign parental origin to long reads from their F1 offspring before assembly, enabling complete haplotype resolution. Trio binning could therefore provide an effective strategy for assembling highly heterozygous genomes, which are traditionally problematic, such as insect genomes. This includes the wood tiger moth (Arctia plantaginis), which is an evolutionary study system for warning colour polymorphism. F…

0106 biological scienceshaplotypepopulation genomicsAcademicSubjects/SCI02254PopulationSequence assemblyHealth Informaticswood tiger moth; Arctia plantaginisMothsBiologyData Notegenotyyppi010603 evolutionary biology01 natural sciencesGenometäpläsiilikäsPopulation genomicsLoss of heterozygosity03 medical and health sciencesConsensus sequenceAnimalsHumanseducation030304 developmental biology0303 health scienceseducation.field_of_studyGenetic diversityGenometrio binningHaplotypewood tiger mothKaryotypegenomiikkaGenomicsWoodComputer Science ApplicationsLepidopteraHaplotypesannotationpopulaatiogenetiikkaEvolutionary biologyperimägenome assemblyAcademicSubjects/SCI00960Corrigendum
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On Some Misconceptions Concerning Digital Banking and Alternative Delivery Channels

2016

A great deal of conceptual confusion surrounds the notions of digital banking and innovative alternative delivery channels that support banking and other financial transactions globally. The authors contend that the concepts of digital banking and associated delivery channels are ambiguous and restrictive; their usability has been undermined and their purpose and objective have, to a large extent, been misunderstood. Against this backdrop, the authors offer an inclusive definition of digital banking and delivery channels and provide logical explanations of these terms that can benefit scholars, the telecommunication sector, the banking industry, policy makers, and service providers (in term…

02 engineering and technologyManagement Information Systemsbanking industry020204 information systems0502 economics and business0202 electrical engineering electronic engineering information engineeringmedicineEconomicsMarketingta512Confusiondigital bankingbusiness.industry05 social sciencestelecommunication sectorUsabilityService providerBanking industryComputer Science Applicationsalternative delivery channeldigital banking ecosystemFinancial transactionRetail banking050211 marketingmedicine.symptombusinessInternational Journal of E-Business Research
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Peer-to-peer cooperative GNSS-based localization for stationary reference nodes in wireless sensor networks

2017

Most localization algorithms in wireless sensor networks rely on a few reference nodes with known locations to estimate the locations of unknown nodes. The locations of reference nodes can be either manually configured or, more practically, obtained by means of some satellite-based positioning system(s). However, satellite-based locations may be inaccurate and imprecise, which results in reduced location accuracy of localization algorithms. This paper proposes a peer-to-peer cooperative GNSS-based localization algorithm for stationary reference nodes to improve their relative location accuracy and precision. The algorithm applies simple statistical methods and GNSS-based information from mu…

020203 distributed computingAccuracy and precisionPositioning systemSIMPLE (military communications protocol)Computer sciencebusiness.industryReal-time computing020206 networking & telecommunications02 engineering and technologyPeer-to-peercomputer.software_genrelocalizationlokalisointiGNSS applicationsalgoritmit0202 electrical engineering electronic engineering information engineeringGlobal Positioning SystemSatellitebusinesscomputerWireless sensor networklangattomat verkot
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