Search results for "feature"

showing 10 items of 4091 documents

The origin of Swedish and Norwegian populations of the Eurasian harvest mouse (Micromys minutus).

2012

The harvest mouse (Micromys minutus) occurs throughout most of continental Europe. There are also two isolated and recently discovered populations on the Scandinavian peninsula, in Sweden and Norway. Here, we investigate the origin of these populations through analyses of mitochondrial DNA. We found that the two populations on the Scandinavian peninsula have different mtDNA haplotypes. A comparison of our haplotypes to published sequences from most of Europe showed that all Swedish and Norwegian haplotypes are most closely related to the haplotypes in harvest mice from Denmark. Hence, the two populations seem to represent independent colonisations but originate from the same geographical ar…

Mitochondrial DNAgeographygeography.geographical_feature_categoryCytochrome bEcologyHaplotypeZoologyNorwegianBiologybiology.organism_classificationlanguage.human_languagePhylogeographyAnimal ecologyPeninsulalanguageAnimal Science and ZoologyMicromys minutusEcology Evolution Behavior and Systematics
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More data on ancient human mitogenome variability in Italy: new mitochondrial genome sequences from three Upper Palaeolithic burials.

2021

BACKGROUND: Recently, the study of mitochondrial variability in ancient humans has allowed the definition of population dynamics that characterised Europe in the Late Pleistocene and Early Holocene. Despite the abundance of sites and skeletal remains few data are available for Italy. - AIM: We reconstructed the mitochondrial genomes of three Upper Palaeolithic individuals for some of the most important Italian archaeological contexts: Paglicci (South-Eastern Italy), San Teodoro (South-Western Italy) and Arene Candide (North-Western Italy) caves. - SUBJECTS AND METHODS We explored the phylogenetic relationships of the three mitogenomes in the context of Western Eurasian ancient and modern va…

Mitochondrial DNA; ancient DNA; Upper Palaeolithic; Italian huntergatherers; LGMAgingMitochondrial DNAPleistocenePhysiologyEpidemiologyLineage (evolution)PopulationItalian huntergatherersContext (language use)Settore BIO/08 - AntropologiaCaveGeneticsHumansDNA Ancienteducationancient DNAHolocenegeographyeducation.field_of_studygeography.geographical_feature_categoryGenome HumanPublic Health Environmental and Occupational HealthUpper PalaeolithicLGMMitochondrial DNAAncient DNAArchaeologyItalyItalian hunter-gatherersEvolutionary biologyGenome MitochondrialAnnals of human biology
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Environment and subsistence strategies at La Viña rock shelter and Llonin cave (Asturias, Spain) during MIS3

2020

The sites of La Viña and Llonin have an important archaeological sequence corresponding to Marine Isotope Stage 3: Mousterian, Aurignacian and Gravettian periods. La Viña is a complex rock shelter with continuous occupations, being some (basically the Mousterian and the Aurignacian in contact levels) altered by post-depositional processes as a consequence of the irregular bedrock morphology and the type of processes involved. The cave of Llonin mainly consists of occasional human/carnivores occupations during the Mousterian and the Gravettian. The current multidisciplinary research has allowed us to obtain and match several preliminary data: site formation processes, fauna and stable isotop…

Mobility010506 paleontologyArcheologygeographygeography.geographical_feature_categoryTaphonomy060102 archaeology[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistorySubsistence agriculture06 humanities and the artsEconomy15. Life on land01 natural sciencesArchaeologyHuman/Carnivore occupationsCaveWork (electrical)Taphonomy0601 history and archaeologyPaleoclimatologyRock shelterComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesPetrología y Geoquímica
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Climate change effects on the hydrological regime of small non-perennial river basins.

2015

Recent years have been witnessing an increasing interest on global climate change and, although we are only at the first stage of the projected trends, some signals of climate alteration are already visible. Climate change encompasses modifications in the characteristics of several interrelated climate variables, and unavoidably produces relevant effects on almost all the natural processes related to the hydrological cycle. This study focuses on potential impacts of climate variations on the streamflow regime of small river basins in Mediterranean, seasonally dry, regions. The paper provides a quantitative evaluation of potential modifications in the flow duration curves (FDCs) and in the p…

ModABaEnvironmental Engineering010504 meteorology & atmospheric sciencesPerennial streamClimate Change0208 environmental biotechnologyClimate change02 engineering and technology01 natural sciencesStreamflowEvapotranspirationEnvironmental ChemistryWater cycleWaste Management and Disposal0105 earth and related environmental sciencesRiparian zonegeographygeography.geographical_feature_categoryGlobal warmingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaGCMPollution020801 environmental engineeringEphemeral streamflow regimeClimatologyEphemeral streamflow regime.Environmental scienceFDCDownscalingThe Science of the total environment
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Annual flow duration curves assessment in ephemeral small basins

2014

Flow duration curve (FDC) represents a comprehensive signature of temporal runoff variability often used to synthesize catchment rainfall-runoff responses. A new model, the ModABa (MODel for Annual flow duration curves assessment in ephemeral small BAsins), is here introduced. It can be thought as a wide mosaic whose tesserae are frameworks, models or conceptual schemes separately developed in different studies and harmoniously interconnected with the final aim of reproducing the annual FDC in intermittent small catchments. Two separated seasons within the hydrological year are distinguished: a dry season, characterized by absence of streamflow, and a non-zero season. Streamflow is disaggre…

ModABaHydrologygeographyEcohydrological modelgeography.geographical_feature_categoryEphemeral keyMediterranean hydrologyDry seasonSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaLaw of total probabilityDrainage basinFlow duration curveClimatic dataStreamflowImpervious surfaceFDCEnvironmental scienceSurface runoffWater Science and TechnologyJournal of Hydrology
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Single-channel EEG-based subject identification using visual stimuli

2021

Electroencephalography (EEG) signals have been recently proposed as a biometrics modality due to some inherent advantages over traditional biometric approaches. In this work, we studied the performance of individual EEG channels for the task of subject identification in the context of EEG-based biometrics using a recently proposed benchmark dataset that contains EEG recordings acquired under various visual and non-visual stimuli using a low-cost consumer-grade EEG device. Results showed that specific EEG electrodes provide consistently higher identification accuracy regardless of the feature and stimuli types used, while features based on the Mel Frequency Cepstral Coefficients (MFCC) provi…

Modality (human–computer interaction)Biometricsmedicine.diagnostic_testComputer sciencebusiness.industryFeature extractionComputerApplications_COMPUTERSINOTHERSYSTEMSPattern recognitionContext (language use)ElectroencephalographyIdentification (information)ComputingMethodologies_PATTERNRECOGNITIONFeature (computer vision)medicineArtificial intelligenceMel-frequency cepstrumbusiness2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
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An Embedded Solution for Multispectral Palmprint Recognition

2018

Palmprint based identification has attracted much attention in the past decades. In some real-life applications, portable personal authentication systems with high accuracy and speed efficiency are required. This paper presents an embedded palmprint recognition solution based on the multispectral image modality. We first develop an effective recognition algorithm by using partial least squares regression, then a FPGA prototype is implemented and optimized through high-level synthesis technique. The evaluation experiments demonstrate that the proposed system can achieve a higher recognition rate at a lower running cost comparing to the reference implementations.

Modality (human–computer interaction)[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingbusiness.industryComputer science[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing020208 electrical & electronic engineeringFeature extractionMultispectral image[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Identification (information)[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingPartial least squares regression0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionAlgorithm designArtificial intelligencebusinessComputingMilieux_MISCELLANEOUS
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A Review of Recent Advances in Ear Recognition

2011

Ear recognition has become a rapidly growing research area in recent years. This paper gives an up-to-date review of research works in ear recognition based on 3D data and 2D ear images. For ear recognition in 3D, recent works on 3D feature extraction and model matching are presented and discussed. For 3D ear recognition based on 2D images, 3D ear model reconstruction is mainly discussed. For ear recognition in 2D, main research works on ear detection, ear feature extraction and classification are presented and discussed. Some possible future research interests are proposed in the end.

Model reconstruction2d imagesComputer scienceSpeech recognitionFeature extractionotorhinolaryngologic diseasessense organsEar recognitionModel matching
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Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models.

2012

Item does not contain fulltext The hippocampus is affected at an early stage in the development of Alzheimer's disease (AD). With the use of structural magnetic resonance (MR) imaging, we can investigate the effect of AD on the morphology of the hippocampus. The hippocampal shape variations among a population can be usually described using statistical shape models (SSMs). Conventional SSMs model the modes of variations among the population via principal component analysis (PCA). Although these modes are representative of variations within the training data, they are not necessarily discriminative on labeled data or relevant to the differences between the subpopulations. We use the shape des…

Models AnatomicMaleSupport Vector MachineDatabases FactualNeuropsychological TestsHippocampusFunctional Laterality030218 nuclear medicine & medical imagingLogical addressCorrelation0302 clinical medicineDiscriminative modelAlzheimer Centre [DCN PAC - Perception action and control NCEBP 11][ INFO.INFO-TI ] Computer Science [cs]/Image Processingeducation.field_of_studyBrain MappingPrincipal Component AnalysisVerbal LearningMagnetic Resonance ImagingNeurologyData Interpretation Statistical[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Principal component analysisEducational StatusFemalePsychologyCognitive NeurosciencePopulationFeature selectionVerbal learningStatiscal Shape Model03 medical and health sciencesAlzheimer DiseaseArtificial IntelligenceSupport Vector MachinesHumansAlzheimer Centre [NCEBP 11]educationAgedMemory DisordersNeurology & NeurosurgeryModels Statisticalbusiness.industryPattern recognitionSupport vector machineMental RecallAlzheimerArtificial intelligenceAtrophybusiness030217 neurology & neurosurgery
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Computational Methods in Developing Quantitative Structure-Activity Relationships (QSAR): A Review

2006

Virtual filtering and screening of combinatorial libraries have recently gained attention as methods complementing the high-throughput screening and combinatorial chemistry. These chemoinformatic techniques rely heavily on quantitative structure-activity relationship (QSAR) analysis, a field with established methodology and successful history. In this review, we discuss the computational methods for building QSAR models. We start with outlining their usefulness in high-throughput screening and identifying the general scheme of a QSAR model. Following, we focus on the methodologies in constructing three main components of QSAR model, namely the methods for describing the molecular structure …

Models MolecularQuantitative structure–activity relationshipbusiness.industryComputer scienceOrganic ChemistryQuantitative Structure-Activity RelationshipQuantitative structureFeature selectionGeneral MedicineMachine learningcomputer.software_genreCombinatorial chemistryField (computer science)Computer Science ApplicationsDomain (software engineering)Molecular descriptorDrug DiscoveryArtificial intelligencebusinesscomputerApplicability domainCombinatorial Chemistry & High Throughput Screening
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