Search results for "Krill"

showing 7 items of 7 documents

Study of Fishmeal Substitution on Growth Performance and Shelf-Life of Giltheadsea Bream (Sparusaurata)

2020

In this work the effect of partial or total replacement of fishmeal by plant protein sources and krill and squid meal on growth performance and shelf-life of gilthead sea bream was evaluated. Plant protein dietswith 50 g kg&minus

Giltheadsea breamKrilllcsh:QH426-470TECNOLOGIA DE ALIMENTOSFood spoilagePlantproteinPRODUCCION ANIMALAquatic ScienceBacterial growthShelf life01 natural sciencesQUIMICA ORGANICAFish mealAquaculturebiology.animalFood sciencePROYECTOS DE INGENIERIAlcsh:QH301-705.5Ecology Evolution Behavior and SystematicsFishmealSquidShelf-lifeEcologybiologyChemistrybusiness.industryfungiQUIMICA INORGANICA010401 analytical chemistry0402 animal and dairy sciencefood and beverages04 agricultural and veterinary sciencesbiology.organism_classificationSparusaurata040201 dairy & animal science<i>Sparusaurata</i>0104 chemical scienceslcsh:Geneticslcsh:Biology (General)Plant proteinbusinessColorimetric sensor arrayFishes
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Krill herd algorithm-based neural network in structural seismic reliability evaluation

2018

ABSTRACTIn this research work, the relative displacement of the stories has been determined by means of a feedforward Artificial Neural Network (ANN) model, which employs one of the novel methods for the optimization of the artificial neural network weights, namely the krill herd algorithm. For the purpose of this work, the area, elasticity, and load parameters were the input parameters and the relative displacement of the stories was the output parameter. To assess the precision of the feedforward (FF) model optimized using the Krill Herd Optimization (FF-KH) algorithm, comparison of results has been performed relative to the results obtained by the linear regression model, the Genetic Alg…

Computer scienceGeneral Mathematics02 engineering and technologyBack propagation neural networkkrill herdLinear regression0202 electrical engineering electronic engineering information engineeringMathematics (all)Mechanics of MaterialGeneral Materials Scienceartificial krill herd algorithmCivil and Structural Engineeringregression modelArtificial neural networkMechanical EngineeringFeed forwardseismic reliability assessment of structureKrill herd algorithmRegression analysisArtificial intelligence techniqueKrill herd021001 nanoscience & nanotechnologySettore ICAR/09 - Tecnica Delle CostruzioniMechanics of Materials020201 artificial intelligence & image processingMaterials Science (all)0210 nano-technologyoptimizationRelative displacementAlgorithmartificial neural networkMechanics of Advanced Materials and Structures
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Automatic classification of acoustically detected krill aggregations: A case study from Southern Ocean

2022

Acoustic surveys represent the standard methodology to assess the spatial distribution and abundance of pelagic organisms characterized by aggregative behaviour. The species identification of acoustically observed aggregations is usually performed by taking into account the biological sampling and according to expert-based knowledge. The precision of survey estimates, such as total abundance and spatial distribution, strongly depends on the efficiency of acoustic and biological sampling as well as on the species identification. In this context, the automatic identification of specific groups based on energetic and morphological features could improve the species identification process, allo…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniEnvironmental EngineeringRoss SeaSettore INF/01 - InformaticaEcological Modelingk-meansAcousticKrillInternal validation indicesSoftwareHierarchical clustering
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Unsupervised Classification of Acoustic Echoes from Two Krill Species in the Southern Ocean (Ross Sea)

2021

This work presents a computational methodology able to automatically classify the echoes of two krill species recorded in the Ross sea employing scientific echo-sounder at three different frequencies (38, 120 and 200 kHz). The goal of classifying the gregarious species represents a time-consuming task and is accomplished by using differences and/or thresholds estimated on the energy features of the insonified targets. Conversely, our methodology takes into account energy, morphological and depth features of echo data, acquired at different frequencies. Internal validation indices of clustering were used to verify the ability of the clustering in recognizing the correct number of species. Th…

0106 biological sciencesKrillbiologybusiness.industry010604 marine biology & hydrobiologyEuphausiaSettore MAT/01 - Logica MatematicaEuphausia crystallorophiasbiology.organism_classificationSpatial distributionMachine learning for pelagic species classification01 natural sciencesKrill identification010104 statistics & probabilityRoss SeaAcoustic dataArtificial intelligence0101 mathematicsCluster analysisbusinessRelative species abundanceGeologyEnergy (signal processing)Global biodiversityRemote sensing
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A Visitor of Tropical Waters: First Record of a Clymene Dolphin (Stenella clymene) Off the Patagonian Coast of Argentina, With Comments on Diet and M…

2021

The poorly known Clymene dolphin (Stenella clymene) is a small oceanic cetacean distributed in tropical and subtropical waters of the Atlantic Ocean. In this study, we report, for the first time, a vagrant individual of Clymene dolphin in Argentina (Rada Tilly) that represents the current southern-most record for this cetacean species. We provide a molecular identification of the dolphin, based on partial sequences of the mitochondrial cytochrome b gene, generated from DNA extracted from its metazoan parasites. Three prey species, namely Argentine hake, Patagonian squid and lobster krill were identified from hard pieces collected in the stomach. Seven metazoan parasite taxa (three in adult …

0106 biological sciencesKrillNematodalcsh:QH1-199.5Argentine hakeFaunaCestodaZoologyOcean Engineeringlcsh:General. Including nature conservation geographical distributionAquatic ScienceOceanography010603 evolutionary biology01 natural sciencesAcanthocephalaPredation03 medical and health scienceslife-cycleDelphinidaesouthwestern Atlanticlcsh:ScienceMerluccius hubbsi030304 developmental biologyWater Science and Technology0303 health sciencesGlobal and Planetary ChangebiologyStenella clymenebiology.organism_classificationCestodalcsh:QTrematodaTrematodaAcanthocephalaFrontiers in Marine Science
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Biodiversity change after climate-induced ice-shelf collapse in the Antarctic

2011

Julian Gutt ... et al. -- 10 pages, 5 figures, 1 table, supplementary data https://doi.org/10.1016/j.dsr2.2010.05.024

0106 biological sciencesKrill010504 meteorology & atmospheric sciences[SDE.MCG]Environmental Sciences/Global Changes[SDV.BID]Life Sciences [q-bio]/BiodiversityOceanography01 natural sciencesIce shelf1st insightsBenthosBenthosAntarctic PeninsulaEuphausia superba [Antarctic krill]EcosystemenEcosystemMarine ecosystem14. Life underwatersouthern-oceanKrillbiogeography0105 earth and related environmental sciences[ SDV.BID ] Life Sciences [q-bio]/Biodiversitygeography[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologydeep-seageography.geographical_feature_categorybiologyaggregationsEcology010604 marine biology & hydrobiologyPelagic zone15. Life on landbiology.organism_classificationApex predatorsIceberg[ SDE.MCG ] Environmental Sciences/Global ChangesOceanographywestern weddell sea13. Climate actionBenthic zonepeninsulaDeep-sea speciesspecies-diversityimpactPioneer speciesross sea[SDE.BE]Environmental Sciences/Biodiversity and EcologyGeology
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Diet and diving behaviour of European Storm Petrels Hydrobates pelagicus in the Mediterranean (ssp. melitensis).

2011

Capsule Unlike Atlantic populations, which feed on krill, Mediterranean populations feed mainly on pelagic fish Gymnammodites cicerellus. Aims To determine the diet and dive depth of the Mediterranean subspecies of European Storm Petrels Hydrobates pelagicus melitensis. Methods Analysis of regurgitates of adults arriving at the colony for chick feeding and by determination of dives depth using the capillary tube method. Results The main prey is Gymnammodites cicerellus, a pelagic fish. Storm Petrels dive for their prey and can reach up to 5 m in depth. They also make short foraging trips just outside the colony where they capture Opossum Shrimps Misydacea. Conclusions European Storm Petrels…

Mediterranean climateKrillbiologyForagingMysidaceaSettore BIO/05 - ZoologiaStormPelagic zonebiology.organism_classificationPredationHydrobates pelagicusFisheryGymnammodytes cicerellus diving feeding tripsEcology Evolution Behavior and SystematicsNature and Landscape Conservation
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