Search results for "retrieval"

showing 10 items of 1176 documents

Improving Communication in Risk Management of Health Information Technology Systems by means of Medical Text Simplification

2019

Health Information Technology Systems (HITS) are increasingly used to improve the quality of patient care while reducing costs. These systems have been developed in response to the changing models of care to an ongoing relationship between patient and care team, supported by the use of technology due to the increased instance of chronic disease. However, the use of HITS may increase the risk to patient safety and security. While standards can be used to address and manage these risks, significant communication problems exist between experts working in different departments. These departments operate in silos often leading to communication breakdowns. For example, risk management stakeholder…

Care processInteractive computer systemsMedical terminologyHealth information technologyText simplificationComputer sciencemedia_common.quotation_subjectKnowledge management02 engineering and technologyInformation technologyPatient safetyOrder (exchange)Computer securityPatient Empowerment; Health Information Seeking; User Requirements; Risk Management; IEC 80001-1; Medical Terminology Simplification;Machine learning0202 electrical engineering electronic engineering information engineeringInformation retrievalQuality (business)Risk managementComputer networksmedia_commonEstimationRisk ManagementSettore INF/01 - Informaticabusiness.industryCommunication020206 networking & telecommunications020207 software engineeringMedical Terminology SimplificationWorld Wide WebEducational technologyChronic diseaseRisk analysis (engineering)HealthbusinessIEC 80001-1Machine translating
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Fuzzy gender categories: How emotional expression influences typicality *The authors would like to thank Fieke Harinck for her help in conducting Stu…

2001

Social categories are conceived of as broad classes in which some instances are better exemplars than others, and non-necessary features are assumed to modulate typicality. This research investigated how various emotional expressions impact on gender categorization. Two concurrent measures - response latencies and prototypicality judgments - were collected and compared in three experiments. The results showed that emotional expressions of any kind are highly relevant in modulating females' category membership, while they are of less relevance in making a male more or less prototypical. These findings provide new insights into the relation between gender and emotional expressions.

CategorizationEmotional expressionRelevance (information retrieval)Relation (history of concept)PsychologySocial psychologyFuzzy logicGeneral PsychologySocial categorySwiss Journal of Psychology
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2019

We consider the network of 5 416 537 articles of English Wikipedia extracted in 2017. Using the recent reduced Google matrix (REGOMAX) method we construct the reduced network of 230 articles (nodes) of infectious diseases and 195 articles of world countries. This method generates the reduced directed network between all 425 nodes taking into account all direct and indirect links with pathways via the huge global network. PageRank and CheiRank algorithms are used to determine the most influential diseases with the top PageRank diseases being Tuberculosis, HIV/AIDS, and Malaria. From the reduced Google matrix, we determine the sensitivity of world countries to specific diseases integrating th…

CheiRank0303 health sciencesInformation retrievalGeneral Computer ScienceGoogle matrixComputer sciencebusiness.industryGeneral Engineering01 natural sciences3. Good healthlaw.invention03 medical and health sciencesPageRanklaw0103 physical sciencesGlobal networkEncyclopediaGeneral Materials ScienceThe Internet010306 general physicsbusiness030304 developmental biologyNetwork analysisIEEE Access
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World Influence of Infectious Diseases from Wikipedia Network Analysis

2019

AbstractWe consider the network of 5 416 537 articles of English Wikipedia extracted in 2017. Using the recent reduced Google matrix (REGOMAX) method we construct the reduced network of 230 articles (nodes) of infectious diseases and 195 articles of world countries. This method generates the reduced directed network between all 425 nodes taking into account all direct and indirect links with pathways via the huge global network. PageRank and CheiRank algorithms are used to determine the most influential diseases with the top PageRank diseases being Tuberculosis, HIV/AIDS and Malaria. From the reduced Google matrix we determine the sensitivity of world countries to specific diseases integrat…

CheiRankComputer scienceHuman immunodeficiency virus (HIV)medicine.disease_cause01 natural sciences[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]law.invention03 medical and health sciencesPageRanklaw0103 physical sciencesGlobal networkmedicine010306 general physics030304 developmental biology0303 health sciencesInformation retrievalGoogle matrixMarkov processes[PHYS.PHYS.PHYS-SOC-PH]Physics [physics]/Physics [physics]/Physics and Society [physics.soc-ph]complex networksdata mining[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]ranking (statistics)3. Good healthInfectious diseaseslcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:TK1-9971Network analysisWikipedia
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Novel Version of PageRank, CheiRank and 2DRank for Wikipedia in Multilingual Network Using Social Impact

2020

International audience; Nowadays, information describing navigation behaviour of internet users are used in several fields, e-commerce, economy, sociology and data science. Such information can be extracted from different knowledge bases, including business-oriented ones. In this paper, we propose a new model for the PageRank, CheiRank and 2DRank algorithm based on the use of clickstream and pageviews data in the google matrix construction. We used data from Wikipedia and analysed links between over 20 million articles from 11 language editions. We extracted over 1.4 billion source-destination pairs of articles from SQL dumps and more than 700 million pairs from XML dumps. Additionally, we …

CheiRankPageRankSQLComputer sciencecomputer.internet_protocol01 natural sciences[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]010305 fluids & plasmaslaw.inventionCheiRankPageRanklaw0103 physical sciencesCentrality measures010306 general physicsClickstreamcomputer.programming_languageInformation retrievalGoogle matrixGoogle matrixPageviewsSocial impactPage viewcomputerClickstreamXMLWikipedia
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Form factors of the isovector scalar current and the ηπ scattering phase shifts

2015

33 pages.- 14 figures.- v2: Some clarifications and corrections of typos

Chiral perturbation theoryFinal state interactionPhysics and Astronomy (miscellaneous)Scalar (mathematics)01 natural sciencesMatrix (mathematics)Quantum mechanicsChiral perturbation theory0103 physical sciencesComputer Science::General LiteratureOrder (group theory)010306 general physicsNuclear ExperimentEngineering (miscellaneous)ComputingMilieux_MISCELLANEOUSMathematical physicsPhysicsIsovectorUnitarity010308 nuclear & particles physicsComputer Science::Information RetrievalAstrophysics::Instrumentation and Methods for AstrophysicsForm factor (quantum field theory)Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Scattering amplitudeTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGHigh Energy Physics::Experiment
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Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion

2020

Miniaturized hyperspectral imaging techniques have developed rapidly in recent years and have become widely available for different applications. Combining calibrated hyperspectral imagery with inverse physically based reflectance models is an interesting approach for estimating chlorophyll concentrations that are good indicators of vegetation health. The objective of this study was to develop a novel approach for retrieving chlorophyll a and b values from remotely sensed data by inverting the stochastic model of leaf optical properties using a one-dimensional convolutional neural network. The inversion results and retrieved values are validated in two ways: A classical machine learning val…

Chlorophyll boptical propertiesChlorophyll aklorofylli010504 meteorology & atmospheric sciencesCorrelation coefficientStochastic modelling0211 other engineering and technologiesconvolutional neural network02 engineering and technologyneuroverkotoptiset ominaisuudet01 natural sciencesConvolutional neural networkchemistry.chemical_compoundchlorophylllcsh:Scienceoptical properties; convolutional neural network; deep learning; chlorophyll; stochastic modeling; physical parameter retrieval; forestry021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingstokastiset prosessitbusiness.industryDeep learningspektrikuvausforestryHyperspectral imagingdeep learningmetsänarviointikoneoppiminenchemistryChlorophyllGeneral Earth and Planetary Scienceslcsh:QArtificial intelligencekaukokartoitusmetsänhoitobusinessphysical parameter retrievalstochastic modelingRemote Sensing; Volume 12; Issue 2; Pages: 283
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Automatic detection of large dense-core vesicles in secretory cells and statistical analysis of their intracellular distribution.

2010

Analyzing the morphological appearance and the spatial distribution of large dense-core vesicles (granules) in the cell cytoplasm is central to the understanding of regulated exocytosis. This paper is concerned with the automatic detection of granules and the statistical analysis of their spatial locations in different cell groups. We model the locations of granules of a given cell as a realization of a finite spatial point process and the point patterns associated with the cell groups as replicated point patterns of different spatial point processes. First, an algorithm to segment the granules using electron microscopy images is proposed. Second, the relative locations of the granules with…

Chromaffin CellsInformation Storage and RetrievalBiologyBioinformaticsModels BiologicalSensitivity and SpecificityPoint processExocytosislaw.inventionPattern Recognition AutomatedMicelawArtificial IntelligenceImage Interpretation Computer-AssistedGeneticsAnimalsSecretionChromaffin GranulesComputer SimulationCells CulturedModels StatisticalApplied MathematicsVesicleSecretory VesiclesReproducibility of ResultsImage EnhancementEmpirical distribution functionMicroscopy ElectronAnimals NewbornCytoplasmData Interpretation StatisticalElectron microscopeBiological systemIntracellularAlgorithmsBiotechnologyIEEE/ACM transactions on computational biology and bioinformatics
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The object-tool duality in mathematical modelling. A framework to analyze students’ appropriation of Sankey diagrams to model dynamic processes

2020

Students often do not experience the relevance of learning mathematics. This paper reports on an exploratory case study, in which a class of grade 8 students (n=35) was introduced to Sankey diagrams. The aim was to explore to what extent these students could appropriate Sankey diagrams, meaning: they could describe these as objects in themselves and they could use them to model and visualize phenomena relevant to them. Based on Cultural-Historical Activity Theory, we developed an analytical construct defined as the object-tool duality, coordinating mathematics as a set of objects and as a set of tools. The analysis of students’ answers showed that they could use these diagrams as tools to v…

Class (computer programming)AppropriationGeneral MathematicsSankey diagramMathematics educationRelevance (information retrieval)Activity theorySet (psychology)Construct (philosophy)Object (philosophy)EducationAvances de Investigación en Educación Matemática
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Radial symmetry of minimizers to the weighted Dirichlet energy

2020

AbstractWe consider the problem of minimizing the weighted Dirichlet energy between homeomorphisms of planar annuli. A known challenge lies in the case when the weight λ depends on the independent variable z. We prove that for an increasing radial weight λ(z) the infimal energy within the class of all Sobolev homeomorphisms is the same as in the class of radially symmetric maps. For a general radial weight λ(z) we establish the same result in the case when the target is conformally thin compared to the domain. Fixing the admissible homeomorphisms on the outer boundary we establish the radial symmetry for every such weight.

Class (set theory)Computer Science::Information RetrievalGeneral Mathematics010102 general mathematicsMathematical analysisSymmetry in biologyBoundary (topology)Dirichlet's energy01 natural sciencesDomain (mathematical analysis)010101 applied mathematicsSobolev spacePlanar0101 mathematicsEnergy (signal processing)MathematicsProceedings of the Royal Society of Edinburgh: Section A Mathematics
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