Search results for "IIf"

showing 10 items of 91 documents

Olfactory foraging in temperate waters: sensitivity to dimethylsulphide of shearwaters in the Atlantic Ocean and Mediterranean Sea

2014

AbstractMany procellariiforms use olfactory cues to locate food patches over the seemingly featureless ocean surface. In particular, some of them are able to detect and are attracted by dimethylsulfide (DMS), a volatile compound naturally occurring over worldwide oceans in correspondence with productive feeding areas. However, current knowledge is restricted to sub-Antarctic species, and to only one study realized under natural conditions at sea. Here, for the first time, we investigated the response to DMS in parallel in two different environments in temperate waters, the Atlantic Ocean and the Mediterranean Sea, employing Cory's (Calonectris borealis) and Scopoli's shearwaters (Calonectri…

Calonectris diomedeaPhysiologyOceans and SeasForagingOlfactory cuesSulfidesAquatic ScienceBiologyBirdsMediterranean seaMediterranean SeaTemperate climateAnimalsAtlantic OceanMolecular BiologyEcology Evolution Behavior and SystematicsEcologyWaterFeeding Behaviorbiology.organism_classificationSmellOceanographySettore AGR/11 - Entomologia Generale E ApplicataInsect ScienceOdorantsAnimal Science and ZoologyCuesDMS Foraging Odour cues Olfaction Petrels Procellariiform seabirdsCalonectris borealisRegional differences
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Variable exposure and immunological response to Lyme disease Borrelia among North Atlantic seabird species.

2008

Colonial seabirds often breed in large aggregations. These individuals can be exposed to parasitism by the tick Ixodes uriae , but little is known about the circulation of pathogens carried by this ectoparasite, including Lyme disease Borrelia . Here we investigated the prevalence of antibodies (Ab) against Borrelia burgdorferi sensu lato in seabird species sampled at eight locations across the North Atlantic. Using enzyme-linked immunosorbent assay tests, we found that the prevalence of anti- Borrelia Ab in adult seabirds was 39.6% on average (over 444 individuals), but that it varied among colonies and species. Common guillemots showed higher seroprevalence (77.1%±5.9) than black-legged …

CharadriiformesBlotting WesternTickGeneral Biochemistry Genetics and Molecular BiologyCharadriiformesLyme diseaseSpecies SpecificitySeroepidemiologic Studiesbiology.animalBorreliaparasitic diseasesmedicineAnimalsBorrelia burgdorferiAtlantic OceanPhylogenyGeneral Environmental ScienceLyme DiseaseGeneral Immunology and MicrobiologybiologyIxodesEcologyBird DiseasesfungiGeneral Medicinebiology.organism_classificationmedicine.diseaseIxodes uriaebacterial infections and mycosesBorrelia burgdorferiIxodesSeabirdGeneral Agricultural and Biological SciencesResearch ArticleProceedings. Biological sciences
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Deep CNN for IIF Images Classification in Autoimmune Diagnostics

2019

The diagnosis and monitoring of autoimmune diseases are very important problem in medicine. The most used test for this purpose is the antinuclear antibody (ANA) test. An indirect immunofluorescence (IIF) test performed by Human Epithelial type 2 (HEp-2) cells as substrate antigen is the most common methods to determine ANA. In this paper we present an automatic HEp-2 specimen system based on a convolutional neural network method able to classify IIF images. The system consists of a module for features extraction based on a pre-trained AlexNet network and a classification phase for the cell-pattern association using six support vector machines and a k-nearest neighbors classifier. The class…

Computer science02 engineering and technologyConvolutional neural networklcsh:TechnologyIIF imageAlexNetlcsh:Chemistry03 medical and health sciencesconvolutional neural networks (CNNs)Autoimmune diseaseClassifier (linguistics)0202 electrical engineering electronic engineering information engineeringGeneral Materials Scienceautoimmune diseasesInstrumentationlcsh:QH301-705.5030304 developmental biologyIIF imagesFluid Flow and Transfer Processes0303 health sciencesDeep cnnIndirect immunofluorescenceaccuracybusiness.industrylcsh:TProcess Chemistry and Technologyk-nearest neighbors (KNN)General EngineeringPattern recognitionIIfClass (biology)lcsh:QC1-999Computer Science ApplicationsSupport vector machinelcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040System parameters020201 artificial intelligence & image processingsupport vector machine (SVM)Artificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)lcsh:PhysicsApplied Sciences
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A Wavelet approach to extract main features from indirect immunofluorescence images

2019

A number of previous studies have shown that IIF image analysis requires complex and sometimes heterogeneous and diversified methods. Robust solutions can be proposed but they need to orchestrate several methods from low-level analysis up to more complex neural networks or SVM for data classification. The contribution intends to highlight the versatility of Wavelet Transform (WT) and their use in various levels of analysis for the classification of IIF images in order to develop a system capable of performing: image enhancement, ROI segmentation and object classification. Therefore, WT was adopted in the de-noise section, segmentation and classification. This analysis allows frequencies cha…

Computer scienceData classificationWavelet Transform02 engineering and technologyPattern Recognition030218 nuclear medicine & medical imaging03 medical and health sciencesSegmentation0302 clinical medicineWaveletRobustness (computer science)IIF dataset0202 electrical engineering electronic engineering information engineeringSegmentationMedical diagnosisSettore INF/01 - InformaticaArtificial neural networkbusiness.industryDenoiseWavelet transformPattern recognitionClassificationSupport vector machine020201 artificial intelligence & image processingArtificial intelligencebusinessProceedings of the 20th International Conference on Computer Systems and Technologies
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Deep Convolutional Neural Network for HEp-2 fluorescence intensity classification

2019

Indirect ImmunoFluorescence (IIF) assays are recommended as the gold standard method for detection of antinuclear antibodies (ANAs), which are of considerable importance in the diagnosis of autoimmune diseases. Fluorescence intensity analysis is very often complex, and depending on the capabilities of the operator, the association with incorrect classes is statistically easy. In this paper, we present a Convolutional Neural Network (CNN) system to classify positive/negative fluorescence intensity of HEp-2 IIF images, which is important for autoimmune diseases diagnosis. The method uses the best known pre-trained CNNs to extract features and a support vector machine (SVM) classifier for the …

Computer scienceSVM02 engineering and technologyConvolutional neural networklcsh:TechnologyIIF image030218 nuclear medicine & medical imaginglcsh:Chemistry03 medical and health sciences0302 clinical medicineClassifier (linguistics)Autoimmune disease0202 electrical engineering electronic engineering information engineeringGeneral Materials Scienceautoimmune diseasesReceiver operating characteristic (ROC) curveInstrumentationlcsh:QH301-705.5AccuracyIIF imagesFluid Flow and Transfer ProcessesIndirect immunofluorescencebusiness.industrylcsh:TProcess Chemistry and TechnologyGeneral EngineeringPattern recognitionIIfGold standard (test)Convolutional Neural Network (CNN)lcsh:QC1-999Computer Science ApplicationsIntensity (physics)Support vector machineFluorescence intensitylcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040020201 artificial intelligence & image processingArtificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)lcsh:Physics
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An Automatic HEp-2 Specimen Analysis System Based on an Active Contours Model and an SVM Classification

2019

The antinuclear antibody (ANA) test is widely used for screening, diagnosing, and monitoring of autoimmune diseases. The most common methods to determine ANA are indirect immunofluorescence (IIF), performed by human epithelial type 2 (HEp-2) cells, as substrate antigen. The evaluation of ANA consist an analysis of fluorescence intensity and staining patterns. This paper presents a complete and fully automatic system able to characterize IIF images. The fluorescence intensity classification was obtained by performing an image preprocessing phase and implementing a Support Vector Machines (SVM) classifier. The cells identification problem has been addressed by developing a flexible segmentati…

Computer scienceSVMKNN02 engineering and technologylcsh:TechnologyIIF imageHough transformlaw.inventionlcsh:Chemistry03 medical and health scienceslawClassifier (linguistics)0202 electrical engineering electronic engineering information engineeringPreprocessorGeneral Materials ScienceSegmentationcell segmentationlcsh:QH301-705.5InstrumentationIIF images030304 developmental biologyFluid Flow and Transfer Processes0303 health sciencesIndirect immunofluorescencelcsh:Tbusiness.industryProcess Chemistry and TechnologyGeneral EngineeringPattern recognitionSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)ROC curvelcsh:QC1-999Computer Science ApplicationsSupport vector machineParameter identification problemFluorescence intensityHough transformlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040020201 artificial intelligence & image processingArtificial intelligencelcsh:Engineering (General). Civil engineering (General)businesslcsh:Physicsactive contours modelApplied Sciences
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Extension d'Ambrosia artemisiifolia L. dans le département de la Côte d'Or

2006

International audience

ENVAHISSANTE[SDV] Life Sciences [q-bio][SDE] Environmental SciencesAMBROISIEASTERACEAE[SDV]Life Sciences [q-bio][SDE]Environmental SciencesPLANTE INVASIVEAMBROSIA ARTEMISIIFOLIA L.ComputingMilieux_MISCELLANEOUS
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Status, distribution and conservation of Kentish plover <em>Charadrius alexandrinus</em> (Aves, Charadriiformes) in Sicily

2021

The Kentish Plover Charadrius alexandrinus is a sensitive species whose national breeding population has been undergoing a sharp decrease, up to 50%, in 2010 compared to the previous decade. Due to the lack of updated data and fragmented knowledge about its current status and distribution in Sicily, a specific and accurate monitoring of this species was carried out during the years 2018 and 2019. About 230 km of coastline and 64 UTM squares 10x10 km were investigated during the breeding seasons, and a total of 205-287 pairs have been estimated for the whole region, distributed in 41 UTM squares (including the island of Favignana). Pairs are mainly concentrated in the complex of “Saline di T…

Ecological nicheCharadriiformeseducation.field_of_studybiologyKentish ploverPopulationPaleontologyGeologyPlant Sciencebiology.organism_classificationCharadriuslanguage.human_languageFisheryGeographyHabitatAbundance (ecology)languageAnimal Science and ZoologyeducationSicilianEcology Evolution Behavior and SystematicsNatural History Sciences
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Extending the DSE. LOD support and TEI/IIIF integration in EVT

2020

Current digital scholarly editions (DSEs) have the opportunity of evolving to dynamic objects interacting with other Internet-based resources thanks to open frameworks such as IIIF and LOD. This paper showcases and discusses two new functionalities of EVT (Edition Visualization Technology), version 2: one improving the management of named entities (f.i. personal names) through the use of LOD resources such as FOAF and DBpedia; the other, providing integration of the published text with digital images of the textual primary sources accessed from online repositories (e.g. e-codices or digital libraries such as the Vaticana or the Ambrosiana) via the IIIF protocol.

Edition Visualization TechnologyDigital humanities digital philology computational philology IIIF LOD EVT Edition Visualization Technology manuscripts scholarly digital edition critical editionmanuscriptsSettore L-FIL-LET/05 - Filologia ClassicaSettore L-FIL-LET/04 - Lingua E Letteratura Latinascholarly digital editioncritical editiondigital philologyIIIFdigital humanitiesdigital humanities; digital philology; computational philology; IIIF; LOD; EVT; Edition Visualization Technology; manuscripts; scholarly digital edition; critical editionLODcomputational philologyEVT
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Los cursos en línea, masivos y abiertos en educación superior: análisis para la enseñanza de las NIIF

2016

Esta tesis doctoral se propone explorar en el campo contable, específicamente en la enseñanza de las Normas Internacionales de Información Financiera (NIIF) una de las formas más recientes de aplicación tecnológica en educación, como son los Massive Open Online Courses (MOOC). Modalidad educativa que, en medio de importantes debates educativos, ha sido considerada como apoyo al aprendizaje a lo largo de la vida y una forma de innovación en la educación. La tesis está estructurada en tres partes: la primera, conformada por 2 capítulos que constituyen el marco teórico de la tesis. La segunda parte tiene 5 capítulos que corresponden a los estudios empíricos. Finalmente la tercera parte se comp…

Enseñanza de las Normas Internacionales de Información FinancieraContabilidad:CIENCIAS ECONÓMICAS::Contabilidad::Contabilidad financiera [UNESCO]NIIFEducación SuperiorMOOCUNESCO::CIENCIAS ECONÓMICAS::Contabilidad::Contabilidad financiera
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