Search results for "Cognition"

showing 10 items of 7054 documents

The need to grow, learn and develop – how does management affect motivation for professional development?

2018

This article argues that knowledge management and social recognition is important for organisational learning and professional self-esteem in academic libraries. An anonymous survey was issued in 2016 to investigate how library staff’s self-esteem is affected by how they experience their management’s view and overview of their knowledge. The need for what Axel Honneth refers to as social recognition will also be discussed as an important part of how professional self-esteem and work satisfaction is experienced and further how this affects motivation to participate in professional development.

Academic librariesComputingMilieux_THECOMPUTINGPROFESSIONbusiness.industry05 social sciencesProfessional developmentAcademic libraries knowledge management social recognitionLibrary and Information SciencesPublic relationsknowledge managementAffect (psychology)Social recognitionPeer reviewBibliography. Library science. Information resources0502 economics and businessJob satisfaction0509 other social sciencessocial recognition050904 information & library sciencesbusinessPsychology050203 business & managementZLiber Quarterly: The Journal of European Research Libraries
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Adaptation and Validation of the Spanish Version of the Instrument to Evaluate Nurses’ Attitudes Toward Communication With the Patient for Nursing St…

2021

Communication is essential to quality of care and patient satisfaction. It has been linked to positive patient outcomes, increased engagement, improved health outcomes and safe practices. Given these benefits and the association between attitudes and behaviours, as behaviours can be predicted by studying attitudes, assessing nursing students' attitudes toward patient communication is critical as future nursing professionals. For this purpose, the main aim of this study was to adapt and validate an instrument to measure nurses´ attitudes towards communication (ACO) for nursing students. The attitudes towards communication with patients were analyzed. Then, differences in the dimensions of th…

Academic yearcommunicationmedia_common.quotation_subjecteducationConstruct validityconstruct validationCognitionpsychometric propertiesBF1-990Cognitive dimensions of notationsPatient satisfactionCronbach's alphaNursingattitudePsychologyQuality (business)Association (psychology)PsychologyGeneral Psychologymedia_commonOriginal Researchnursing studentsFrontiers in Psychology
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Machine Learning approach towards real time assessment of hand-arm vibration risk

2021

In industry 4,0, the establishment of an interconnected environment where human operators cooperate with the machines offers the opportunity for substantially improving the ergonomics and safety conditions of the workplace. This topic is discussed in the paper referring to the vibration risk, which is a well-known cause of work-related pathologies. A wearable device has been developed to collect vibration data and to segment the signals obtained in time windows. A machine learning classifier is then proposed to recognize the worker’s activity and to evaluate the exposure to vibration risks. The experimental results demonstrate the feasibility and effectiveness of the methodology proposed.

AccelerometerArtificial intelligenceActivity recognitionSettore ING-IND/17 - Impianti Industriali MeccaniciVibration risk
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The N-terminal domain of the light-harvesting chlorophyll a/b-binding protein complex (LHCII) is essential for its acclimative proteolysis.

2000

AbstractVariations in the amount of the light-harvesting chlorophyll a/b-binding protein complex (LHCII) is essential for regulation of the uptake of light into photosystem II. An endogenous proteolytic system was found to be involved in the degradation of LHCII in response to elevated light intensities and the proteolysis was shown to be under tight regulation [Yang, D.-H. et al. (1998) Plant Physiol. 118, 827–834]. In this study, the substrate specificity and recognition site towards the protease were examined using reconstituted wild-type and mutant recombinant LHCII. The results show that the LHCII apoprotein and the monomeric form of the holoprotein are targeted for proteolysis while t…

Acclimative proteaseChlorophyll aN-terminal domainPhotosystem IImedicine.medical_treatmentProteolysisMutantMolecular Sequence DataPhotosynthetic Reaction Center Complex ProteinsBiophysicsLight-Harvesting Protein ComplexesRecognition siteEndogenyLight-harvesting complex IIBiochemistrylaw.inventionchemistry.chemical_compoundStructural BiologylawSpinacia oleraceaGeneticsmedicineAmino Acid SequenceMolecular BiologyProteasemedicine.diagnostic_testSequence Homology Amino AcidChemistryBinding proteinHydrolysisPhotosystem II Protein ComplexCell BiologyBiochemistryRecombinant light-harvesting complex IIProteolysisRecombinant DNAFEBS letters
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Accommodative Stimulus-Response Curve with Emoji Symbols

2017

Purpose. To evaluate the static measurement of the accommodative stimulus-response curve with emoji symbols. Methods. The accommodative stimulus-response curve was measured in 18 subjects using a Hartmann-Shack sensor to obtain the objective accommodative response from the Zernike defocus term. Measurements were acquired at different accommodative demands, from 0 to 3 D with a step of 0.5 D. Detailed and nondetailed emoji targets were used with two different sizes, corresponding to the two most common visual angles used in smartphones. Results. A regression analysis was performed to fit the mean results obtained for each target. The determination coefficient was R2≥0.988 for all targets. Fo…

Accommodative responseArticle SubjectZernike polynomialsEmojibusiness.industryRegression analysisPattern recognitionTerm (time)Stimulus response03 medical and health sciencesOphthalmologysymbols.namesake0302 clinical medicinelcsh:Ophthalmologylcsh:RE1-994030221 ophthalmology & optometrysymbolsMedicineComputer visionArtificial intelligencebusiness030217 neurology & neurosurgeryWord (computer architecture)Research ArticleJournal of Ophthalmology
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3D reconstruction of hot metallic surfaces for industrial part characterization

2009

During industrial forging of big hot metallic shells, it is necessary to regularly measure the dimensions of the parts, especially the inner and outer diameters and the thickness of the walls, in order to decide when to stop the forging process. The inner and outer diameters of the shells range from 4 to 6 meters and to measure them a large ruler is placed horizontally at the end of the shell. Two blacksmiths standing on each side of the ruler at about ten meters from it visually reads the graduations on the ruler in order to determine the inner and outer diameters from which the thickness of the wall is determined. This operation is carried out several times during a forging process and it…

Accuracy and precisionTime of flightMaterials scienceOpticsDimensional Measurement Accuracy[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]business.industrySystem of measurementDimensional metrologyShell (structure)Point cloudbusinessForging
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Accurate estimation of retinal vessel width using bagged decision trees and an extended multiresolution Hermite model.

2012

We present an algorithm estimating the width of retinal vessels in fundus camera images. The algorithm uses a novel parametric surface model of the cross-sectional intensities of vessels, and ensembles of bagged decision trees to estimate the local width from the parameters of the best-fit surface. We report comparative tests with REVIEW, currently the public database of reference for retinal width estimation, containing 16 images with 193 annotated vessel segments and 5066 profile points annotated manually by three independent experts. Comparative tests are reported also with our own set of 378 vessel widths selected sparsely in 38 images from the Tayside Scotland diabetic retinopathy scre…

Accurate estimationComputer scienceStability (learning theory)Decision treeHealth Informaticscomputer.software_genreSensitivity and SpecificityPattern Recognition AutomatedSet (abstract data type)Parametric surfaceImage Interpretation Computer-AssistedHumansRadiology Nuclear Medicine and imagingFluorescein AngiographyHermite polynomialsDiabetic RetinopathySettore INF/01 - InformaticaRadiological and Ultrasound TechnologyReproducibility of ResultsRetinal VesselsImage EnhancementComputer Graphics and Computer-Aided DesignData setComputer Vision and Pattern RecognitionData miningRetinal images Vessel width Multiresolution Hermite model Ensembles of bagged decision trees Medical image analysiscomputerAlgorithmsTest dataRetinoscopyMedical image analysis
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A comparison among different techniques for human ERG signals processing and classification

2014

A comparison among different techniques for human ERG signals processing and classification ( Articles not published yet, but available online Article in press About articles in press (opens in a new window) ) Barraco, R.a, Persano Adorno, D.a , Brai, M.a, Tranchina, L.b a Dipartimento di Fisica e Chimica, Università di Palermo and CNISM, Viale delle Scienze, Ed. 18, I-90128 Palermo, Italy b Laboratorio di Fisica e Tecnologie Relative - UniNetLab, Università di Palermo, Viale delle Scienze, Ed. 18, I-90128 Palermo, Italy Abstract Feature detection in biomedical signals is crucial for deepening our knowledge about the involved physiological processes. To achieve this aim, many analytic appro…

Achromatopsiagenetic structuresComputer scienceBiophysicsGeneral Physics and AstronomyColor Vision DefectsPrincipal component analysiWavelet analysisPattern Recognition AutomatedWaveletRetinal pathologieElectroretinographymedicineHumansRadiology Nuclear Medicine and imagingComputer visionFeature detection (computer vision)Principal Component AnalysisSignal processingFourier Analysisbusiness.industryWavelet transformSignal Processing Computer-AssistedPattern recognitionGeneral Medicinemedicine.diseaseSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)eye diseasesERG signalClinical diagnosisPrincipal component analysissense organsArtificial intelligencebusinessErgPhysica Medica
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Semantic structures of timbre emerging from social and acoustic descriptions of music

2011

The perceptual attributes of timbre have inspired a considerable amount of multidisciplinary research, but because of the complexity of the phenomena, the approach has traditionally been confined to laboratory conditions, much to the detriment of its ecological validity. In this study, we present a purely bottom-up approach for mapping the concepts that emerge from sound qualities. A social media ( http://www.last.fm ) is used to obtain a wide sample of verbal descriptions of music (in the form of tags) that go beyond the commonly studied concept of genre, and from this the underlying semantic structure of this sample is extracted. The structure that is thereby obtained is then evaluated th…

Acoustics and UltrasonicsComputer scienceEcological validityMusic information retrievalsointiväriSpeech recognitionmusiikkisosiaalinen mediacomputer.software_genreTimbreSimilarity (psychology)Social media.Music information retrievalElectrical and Electronic EngineeringSet (psychology)Structure (mathematical logic)Music psychologybusiness.industryNatural language processingVector-based semantic analysisDegree (music)acoustic featuresakustiset piirteetArtificial intelligencebusinessTimbrecomputerNatural language processingEURASIP Journal on Audio, Speech, and Music Processing
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Combining gestures and vocalizations to imitate sounds

2015

International audience; Communicating about sounds is a difficult task without a technical language, and naïve speakers often rely on different kinds of non-linguistic vocalizations and body gestures (Lemaitre et al. 2014). Previous work has independently studied how effectively people describe sounds with gestures or vocalizations (Caramiaux, 2014, Lemaitre and Rocchesso, 2014). However, speech communication studies suggest a more intimate link between the two processes (Kendon, 2004). Our study thus focused on the combination of manual gestures and non-speech vocalizations in the communication of sounds. We first collected a large database of vocal and gestural imitations of a variety of …

Acoustics and UltrasonicsComputer scienceInformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.HCI)Speech recognition02 engineering and technologyRepresentation (arts)[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE][INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]Loudness[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][SCCO]Cognitive science0202 electrical engineering electronic engineering information engineering[ INFO.INFO-NE ] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]050107 human factorsComputingMilieux_MISCELLANEOUSSound (medical instrument)05 social sciences[ SHS.ANTHRO-SE ] Humanities and Social Sciences/Social Anthropology and ethnology[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA][ SCCO.COMP ] Cognitive science/Computer science[SCCO.PSYC] Cognitive science/Psychology[INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD][ SCCO.NEUR ] Cognitive science/Neuroscience[SCCO.PSYC]Cognitive science/Psychology[ INFO.EIAH ] Computer Science [cs]/Technology for Human Learning[ INFO.INFO-MA ] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.EIAH]Computer Science [cs]/Technology for Human Learning[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingGesture[ SHS.MUSIQ ] Humanities and Social Sciences/Musicology and performing artsAcoustics[SCCO.COMP]Cognitive science/Computer scienceArts and Humanities (miscellaneous)[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC]0501 psychology and cognitive sciences[ INFO.INFO-CL ] Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]Set (psychology)[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI][SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph][SPI.ACOU] Engineering Sciences [physics]/Acoustics [physics.class-ph][SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts[ INFO.INFO-ET ] Computer Science [cs]/Emerging Technologies [cs.ET][SCCO.NEUR]Cognitive science/Neuroscience020207 software engineering[SHS.ANTHRO-SE]Humanities and Social Sciences/Social Anthropology and ethnologyVariety (linguistics)loudness[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Noise (video)[ INFO.INFO-SD ] Computer Science [cs]/Sound [cs.SD]
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