Search results for "EURA"

showing 10 items of 3336 documents

Fyysinen aktiivisuus, harrastustoiminta ja liikkumiskyky iäkkäiden ihmisten psyykkisen hyvinvoinnin ennustajina : 65-84-vuotiaiden jyväskyläläisten 8…

2004

Päivi Lampinen selvitti fyysisen aktiivisuuden, harrastustoiminnan ja liikkumiskyvyn yhteyksiä 65–84-vuotiaiden jyväskyläläisten kotona asuvien miesten ja naisten psyykkiseen hyvinvointiin kahdeksan vuoden seuruututkimuksen aikana. Lisäksi hän tutki näiden tekijöiden ja niiden välisten yhteyksien taustalla olevia tekijöitä, kuten kroonisia sairauksia, päivittäistä toimintakykyä ja sosiodemografisia tekijöitä. The purpose of this prospective study was to examine the roles of activity and mobility status as associates and predictors of mental well-being among older adults over an 8-year period. In addition, the aim was to explore the individual-related factors underlying the associations betw…

masennusaktiivisuusmotor activityvanhuksetvanheneminenharrastuksetliikuntapsyykkinen kehitysagedhenkinen hyvinvointiikääntyminentoimintakykyphysical fitnessliikuntakykyseurantatutkimusleisure activitiesliikuntaharrastusmental healthikääntyneetfyysinen aktiivisuus
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Masentuneisuuden vaikutukset kognitiiviseen suoriutumiseen iäkkäillä henkilöillä

2001

masennuskognitiiviset toiminnotseurantatutkimusikääntyneet
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Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression

2021

To examine the electrophysiological underpinnings of the functional networks involved in music listening, previous approaches based on spatial independent component analysis (ICA) have recently been used to ongoing electroencephalography (EEG) and magnetoencephalography (MEG). However, those studies focused on healthy subjects, and failed to examine the group-level comparisons during music listening. Here, we combined group-level spatial Fourier ICA with acoustic feature extraction, to enable group comparisons in frequency-specific brain networks of musical feature processing. It was then applied to healthy subjects and subjects with major depressive disorder (MDD). The music-induced oscil…

masennusmedicine.medical_specialtyComputer Networks and Communicationsneural oscillationsFeature extractionmusiikkiAlpha (ethology)musiikkipsykologiaMajor depressive disordernaturalistic music listeningAudiologyElectroencephalographyDIAGNOSISbehavioral disciplines and activities050105 experimental psychology03 medical and health sciences0302 clinical medicineSIGNALSmedicine0501 psychology and cognitive sciencesEEGRESTING-STATE NETWORKSmajor depressive disorderINDEPENDENT COMPONENT ANALYSISONGOING EEGmedicine.diagnostic_testsignaalinkäsittely05 social sciences3112 Neuroscienceshermoverkot (biologia)signaalianalyysiFUNCTIONAL CONNECTIVITYADULTSGeneral MedicineMagnetoencephalographymedicine.diseasebrain networksIndependent component analysisongoing EEGhumanitiesElectrophysiologyindependent component analysisFMRI DATAFeature (computer vision)SYNCHRONIZATIONMajor depressive disorderPsychology030217 neurology & neurosurgeryRESPONSESInternational Journal of Neural Systems
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Psychiatric Problems in Adolescence Mediate the Association Between Childhood Learning Disabilities and Later Well-Being

2021

This follow-up study investigated the associations of childhood learning disabilities (LDs) with adult-age anxiety, depression, and unemployment. Psychosocial problems in childhood and psychiatric diagnoses and lack of education in adolescence were studied as potential mediators, and gender and mother’s education as potential moderators of these associations. Data on childhood clinical neuropsychological assessments and lifelong register data on individuals with childhood LD (n = 430; 301 [70%] males; 20–39 years of age) and matched controls (n = 2,149) were applied. Mediation analyses were performed using structural equation modeling. Childhood LDs exerted a significant, but relatively sma…

masennusoppimisvaikeudetaikuisuusvaikutuksetmielenterveyshäiriötahdistusseurantatutkimuspsykososiaaliset tekijätlapsuustyöttömyysmurrosikälukihäiriötkehityspsykologia
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Etäteknologiaa sisältävien liikunnallisten kuntoutusinterventioiden vaikuttavuus maksimaaliseen hapenottokykyyn : järjestelmällinen kirjallisuuskatsa…

2017

Hengitys- ja verenkiertoelimistön kunnon on todettu olevan yhteydessä useisiin sairauksiin ja eliniänodotteeseen. Etäteknologiaa sisältävillä interventioilla on todettu olevan yhteys fyysiseen aktiivisuuteen ja hengitys- ja verenkiertoelimistön kuntoon, mutta tutkittua vaikuttavuustietoa on vähän. Maksimaalinen hapenottokyky on yleisesti käytetty hengitys- ja verenkiertoelimistön kunnon mittari, ja se kuvaa hengitys- ja verenkiertoelimistön kykyä kuljettaa happea lihaksille. Tämän järjestelmällisen kirjallisuuskatsauksen tavoitteena oli selvittää etäteknologiaa sisältävien liikunnallisten kuntoutusinterventioiden vaikuttavuutta maksimaaliseen hapenottokykyyn. Kirjallisuushaku tehtiin (2000–…

maximal oxygen consumptionkuntoliikuntaexercise rehabilitationMeta-analyysiverenkiertoelimetoxygen consumptionhengityselimetvo2maxKirjallisuuskatsausmaksimaalinen hapenottoetäseurantaälytekniikkaaerobinen suorituskykykuntoutusliikunnallinen kuntoutusfyysinen aktiivisuus
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Culture and odor categorization : agreement between cultures depends upon the odors

2003

This study evaluated the effect of culture on the relationship between psychological dimensions underlying odor perception and odor categorization. In a first experiment, French, Vietnamese and American participants rated several perceptual dimensions of everyday odorants, and sorted these odorants on the basis of their similarity. Results showed that the three groups of participants differed in their perceptual judgments but agreed in categorizing the odors into four consensual groups (floral, sweet, bad, and nature). Three dimensions––pleasantness, edibility, cosmetic acceptability––discriminated these groups in the same way in the three countries. In a second experiment, the participants…

media_common.quotation_subjectVietnamese050105 experimental psychology0404 agricultural biotechnologyPerceptionSimilarity (psychology)[SDV.IDA]Life Sciences [q-bio]/Food engineering0501 psychology and cognitive sciencesComputingMilieux_MISCELLANEOUSmedia_commonOdor perceptionNutrition and Dieteticsmusculoskeletal neural and ocular physiology05 social sciencesfood and beverages04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food sciencelanguage.human_languageAgreementOdorCategorizationlanguagePsychologySocial psychologypsychological phenomena and processesFood Science
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Toward a Mature Science of Consciousness

2018

In \textit{Being No One}, Thomas \citet{Metzinger2003being} introduces an approach to the scientific study of consciousness that draws on theories and results from different disciplines, targeted at multiple levels of analysis. Descriptions and assumptions formulated at, for instance, the phenomenological, representationalist, and neurobiological levels of analysis provide different perspectives on the same phenomenon, which can ultimately yield necessary and sufficient conditions for applying the concept of phenomenal representation. In this way, the ``method of interdisciplinary constraint satisfaction (MICS)'' (as it has been called by Josh Weisberg, \citeyear{Weisberg2005consciousness})…

media_common.quotation_subjectlcsh:BF1-990predictive processingintegrated information theoryconsciousness050105 experimental psychologyPhenomenology (philosophy)03 medical and health sciences0302 clinical medicineexplanatory correlates of consciousness (ECCs)PhenomenonHypothesis and TheoryPsychologynaturalized phenomenology0501 psychology and cognitive sciencesNeurophenomenologyGeneral Psychologymedia_commonIntegrated information theory05 social sciencesConstraint satisfactionEpistemologyneurophenomenologylcsh:PsychologyphenomenologyConsciousnessPsychologyneural correlates of consciousness (NCCs)Scientific study030217 neurology & neurosurgeryFrontiers in Psychology
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Artificial Neural Network Based Abdominal Organ Segmentations: A Review

2015

There are many neural network based abdominal organ segmentation approaches from medical images. Computed tomography images were mostly used in these approaches. Applied techniques are usually based on prior information regarding position, shape, and size of organs in these methods. In the literature, there are only a few neural network based techniques that were implemented to segment abdominal organs from magnetic resonance based images. In this paper, we present these methods and their results.

medicine.diagnostic_testArtificial neural networkbusiness.industryComputer sciencePosition (vector)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONmedicineMagnetic resonance imagingSegmentationComputer visionComputed tomographyArtificial intelligencebusiness2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA)
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Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks

2019

Deep learning has contributed greatly to functional magnetic resonance imaging (fMRI) analysis, however, spatial maps derived from fMRI data by independent component analysis (ICA), as promising biomarkers, have rarely been directly used to perform individualized diagnosis. As such, this study proposes a novel framework combining ICA and convolutional neural network (CNN) for classifying schizophrenia patients (SZs) and healthy controls (HCs). ICA is first used to obtain components of interest which have been previously implicated in schizophrenia. Functionally informative slices of these components are then selected and labelled. CNN is finally employed to learn hierarchical diagnostic fea…

medicine.diagnostic_testbusiness.industryComputer scienceDeep learningSchizophrenia (object-oriented programming)05 social sciencesPattern recognitionmedicine.diseaseAuditory cortexConvolutional neural networkIndependent component analysis050105 experimental psychology03 medical and health sciences0302 clinical medicineSchizophreniamedicine0501 psychology and cognitive sciencesArtificial intelligencebusinessFunctional magnetic resonance imaging030217 neurology & neurosurgeryDefault mode networkDiagnosis of schizophrenia
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Monoclonal antibodies to polysialic acid reveal epitope sharing between invasive pathogenic bacteria, differentiating cells and tumor cells

1987

Monoclonal antibodies (mAb) for rapid diagnosis and detection of invasive bacteria and identification of pathogenic factors in infectious disease are equally important in medical microbiology and clinical pathology and may even provide a breakthrough in basic medical and cell biology research. Such a situation evolved from the application of a unique mAb against the poorly immunogenic homopolymers of alpha 2,8-linked sialic acid of Escherichia coli K1 and meningococci group B capsules which could be derived from immune-hyperreactive NZB-autoimmune mice. The cross-reactivity of this mAb with identical polysialic acid (polySA) units of the neural cell adhesion molecule (N-CAM) revealed antige…

medicine.drug_classImmunologyKidneyMonoclonal antibodyWilms TumorEpitopeMicrobiologyEpitopeschemistry.chemical_compoundImmune systemAntigenmedicineAnimalsHumansBacteriabiologyPolysialic acidAntibodies MonoclonalCell DifferentiationKidney NeoplasmsSialic acidchemistryAntigens SurfaceSialic Acidsbiology.proteinNeural cell adhesion moleculeAntibodyCell Adhesion MoleculesImmunologic Research
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