Search results for "FEA"

showing 10 items of 4862 documents

A functional MRI study of happy and sad emotions in music with and without lyrics

2011

Musical emotions, such as happiness and sadness, have been investigated using instrumental music devoid of linguistic content. However, pop and rock, the most common musical genres, utilize lyrics for conveying emotions. Using participants’ self-selected musical excerpts, we studied their behavior and brain responses to elucidate how lyrics interact with musical emotion processing, as reflected by emotion recognition and activation of limbic areas involved in affective experience. We extracted samples from subjects’ selections of sad and happy pieces and sorted them according to the presence of lyrics. Acoustic feature analysis showed that music with lyrics differed from music without lyric…

media_common.quotation_subjectEmotion classificationlcsh:BF1-990Inferior frontal gyrusemotionMusical050105 experimental psychologyAcoustic feature03 medical and health sciences0302 clinical medicineddc:150limbic systemmedicineLimbic Systemta616Psychology0501 psychology and cognitive sciencesmusicta515General Psychologymedia_commonOriginal ResearchLanguagemusicemotionfMRIlimbic systemlanguageacoustic featurelanguagemedicine.diagnostic_test05 social sciencesfMRILyricsacoustic featureSadnessmedicine.anatomical_structurelcsh:PsychologyHappinessFunctional magnetic resonance imagingPsychology030217 neurology & neurosurgeryParahippocampal gyrusMusicCognitive psychologyFrontiers in Psychology
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Neoliberalism in the Culture of Terror

2018

One of the most troubling aspects of neoliberalism is that paradoxically though it is widely used and cited in the different studies, books, and dissertation in social sciences, little is known respecting its nature. This is the reason why the present chapter theorizes on neoliberalism, its different meanings, as well as its ideological core. Today’s neoliberalism coincides with something else than the need to adopt free trade globally to curb social conflict. It traverses many other fields that are confronting neorealism. I dissect, here, not only the evolution of liberal mind through different authors and authoritative voices, but also how 9/11 and an imposed culture of fear gradually und…

media_common.quotation_subjectPolitical scienceNeoliberalism (international relations)Political economySocial conflictIdeologyFree tradeDemocracyCulture of fearmedia_commonNeorealism (international relations)
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Clinical profile associated with HIV risk in Spanish youth

2018

Heterosexual transmission is the second route of new HIV infection diagnoses in Spain. A high percentage of young people use condom inconsistently. Beyond cognitive factors, emotional variables seem to be associated with sexual risk behavior. The aim was to examine the differential clinical profile between young people at risk and no-risk for HIV infection. A total of 424 heterosexuals were evaluated (M age =20.62; SD=2.16), and distributed into two groups: risk group (60.7%) and non-risk group (39.3%). They completed the AIDS Prevention Questionnaire, the Beck Depression Inventory, the Rosenberg Self-Esteem Scale, the Penn State Worry Questionnaire, and the Brief Fear of Negative Evaluatio…

media_common.quotation_subjectlcsh:BF1-990Populationcondom useFear of negative evaluationlaw.invention03 medical and health sciencesdepressive symptoms0302 clinical medicineAcquired immunodeficiency syndrome (AIDS)Condomlawmedicineemotional self-regulation030212 general & internal medicineeducationDepression (differential diagnoses)media_commonyoutheducation.field_of_study030505 public healthbusiness.industryBeck Depression InventoryCognitionmedicine.diseaselcsh:Psychologyhiv preventionWorry0305 other medical sciencebusinessClinical psychologyInternational Journal of Developmental and Educational Psychology. Revista INFAD de Psicología.
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Emotional expression in music: contribution, linearity, and additivity of primary musical cues

2013

The aim of this study is to manipulate musical cues systematically to determine the aspects of music that contribute to emotional expression, and whether these cues operate in additive or interactive fashion, and whether the cue levels can be characterized as linear or non-linear. An optimized factorial design was used with six primary musical cues (mode, tempo, dynamics, articulation, timbre, and register) across four different music examples. Listeners rated 200 musical examples according to four perceived emotional characters (happy, sad, peaceful, and scary). The results exhibited robust effects for all cues and the ranked importance of these was established by multiple regression. The …

media_common.quotation_subjectlcsh:BF1-990emotionMusicalMode (music)PerceptionDiscrete emotion ratings.PsychologyEmotional expressionOriginal Research ArticleGeneral Psychologymedia_commonArticulation (music)lens modelself-reportdiscrete emotion ratingslcsh:PsychologyRegister (music)Dynamics (music)factorial designta6131Perceptionmusic cuesPsychologySocial psychologyTimbremusical featuresFrontiers in Psychology
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Automated approach for indirect immunofluorescence images classification based on unsupervised clustering method

2018

Autoimmune diseases (ADs) are a collection of many complex disorders of unknown aetiology resulting in immune responses to self-antigens and are thought to result from interactions between genetic and environmental factors. ADs collectively are amongst the most prevalent diseases in the U.S., affecting at least 7% of the population. The diagnosis of ADs is very complex, the standard screening methods provides seeking and recognizing of Antinuclear Antibodies (ANA) by Indirect ImmunoFluorescence (IIF) based on HEp-2 cells. In this paper an automatic system able to identify and classify the Centromere pattern is presented. The method is based on the grouping of centromeres present on the cell…

medical disorderComputer sciencePopulationFeature extraction02 engineering and technologybiomedical optical imagingmedical image processing030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineImage textureblood0202 electrical engineering electronic engineering information engineeringSegmentationimage texturecellular biophysicsCluster analysiseducationimage segmentationdiseaseeducation.field_of_studyIndirect immunofluorescenceContextual image classificationbusiness.industryfeature extractionPattern recognitionImage segmentationSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)020201 artificial intelligence & image processingfluorescenceComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareimage classificationIET Computer Vision
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Data from: Morphological vs. molecular delineation of taxa across montane regions in Europe: the case study of Gammarus balcanicus Schäferna, 1922 (C…

2015

Mountainous areas are characterized by substantial biodiversity and endemicity due to their complex geological history and habitat fragmentation. Hence, it can be assumed that particularly high species richness can be found in organisms with limited dispersal capabilities that inhabit mountain streams. A number of scientific papers focus on molecular phylogeography or traditional taxonomy of species or species groups inhabiting such habitats. However, there is a lack of studies that integrate morphological and molecular data to identify and delineate cryptic species. For practical reasons, uncovering cryptic diversity is crucial in taxa used in biomonitoring. Distinct species, hard to separ…

medicine and health careGammarus balcanicusCrustaceamorphological polymorphismMedicinespecies-diagnostic morphological featureAmphipodaLife sciences
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Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials

2010

Nonnegative Matrix / Tensor factorization (NMF/NTF) have been used in the study of EEG, and the fit (explained variation) is often used to evaluate the performance of a nonnegative decomposition algorithm. However, this parameter only reveals the information derived from the mathematical model and just exhibits the reliability of the algorithms, and the property of EEG can not be reflected. If fits of two algorithms are identical, it is necessary to examine whether the desired components extracted by them are identical too. In order to verify this doubt, we performed NMF and NTF on the same dataset of an auditory event-related potentials (ERPs), and found that the identical fits of NMF and …

medicine.diagnostic_testComponent (thermodynamics)Property (programming)business.industryFeature extractionPattern recognitionElectroencephalographyMatrix decompositionNon-negative matrix factorizationTime–frequency analysismedicineArtificial intelligenceNonnegative matrixbusinessMathematicsThe 2010 International Joint Conference on Neural Networks (IJCNN)
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Exploring Frequency-dependent Brain Networks from ongoing EEG using Spatial ICA during music listening

2019

AbstractRecently, exploring brain activity based on functional networks during naturalistic stimuli especially music and video represents an attractive challenge because of the low signal-to-noise ratio in collected brain data. Although most efforts focusing on exploring the listening brain have been made through functional magnetic resonance imaging (fMRI), sensor-level electro- or magnetoencephalography (EEG/MEG) technique, little is known about how neural rhythms are involved in the brain network activity under naturalistic stimuli. This study exploited cortical oscillations through analysis of ongoing EEG and musical feature during free-listening to music. We used a data-driven method t…

medicine.diagnostic_testComputer sciencebusiness.industryBrain activity and meditation05 social sciencesShort-time Fourier transformPattern recognitionMusicalMagnetoencephalographyElectroencephalographyStimulus (physiology)Independent component analysis050105 experimental psychology03 medical and health sciences0302 clinical medicineFeature (computer vision)medicineMusic information retrieval0501 psychology and cognitive sciencesActive listeningArtificial intelligenceFunctional magnetic resonance imagingbusiness030217 neurology & neurosurgery
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SIFT Texture Description for Understanding Breast Ultrasound Images

2014

Texture is a powerful cue for describing structures that show a high degree of similarity in their image intensity patterns. This paper describes the use of Self-Invariant Feature Transform (SIFT), both as low-level and high-level descriptors, applied to differentiate the tissues present in breast US images. For the low-level texture descriptors case, SIFT descriptors are extracted from a regular grid. The high-level texture descriptor is build as a Bag-of-Features (BoF) of SIFT descriptors. Experimental results are provided showing the validity of the proposed approach for describing the tissues in breast US images.

medicine.diagnostic_testFeature transformbusiness.industryTexture DescriptorInformationSystems_INFORMATIONSTORAGEANDRETRIEVALComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-invariant feature transformPattern recognitionTexture (geology)ComputingMethodologies_PATTERNRECOGNITIONmedicineDegree of similarityComputer visionArtificial intelligencebusinessBreast ultrasoundMathematics
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Recognition of Cardiac Arrhythmia by Means of Beat Clustering on ECG-Holter Recordings

2012

The follow-up of some cardiac diseases may be achieved by ECG-holter record analysis. A heartbeat clustering method can be used to reduce the usually high computational cost of such Holter analysis. This study describes a method aimed at cardiac arrhythmia recognition based on this approach, by means of unsupervised inspection of morphologically similar heartbeat groups. Singular Value Decomposition (SVD) is used as the feature selection method since the complexity increases exponentially with the number of features. A modification of the k-means algorithm was developed for centroid computation, taking into account heartbeat length changes. Experimental set consisted of ECG records from the…

medicine.diagnostic_testHeartbeatComputer sciencebusiness.industryFeature extractionCentroidCardiac arrhythmiaFeature selectionPattern recognitionSingular value decompositioncardiovascular systemmedicineArtificial intelligenceCluster analysisbusinessElectrocardiographycirculatory and respiratory physiology
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