Search results for "network science"

showing 10 items of 103 documents

Forma mentis networks map how nursing and engineering students enhance their mindsets about innovation and health during professional growth

2020

Reconstructing a “forma mentis”, a mindset, and its changes, means capturing how individuals perceive topics, trends and experiences over time. To this aim we use forma mentis networks (FMNs), which enable direct, microscopic access to how individuals conceptually perceive knowledge and sentiment around a topic, providing richer contextual information than machine learning. FMNs build cognitive representations of stances through psycholinguistic tools like conceptual associations from semantic memory (free associations, i.e., one concept eliciting another) and affect norms (valence, i.e., how attractive a concept is). We test FMNs by investigating how Norwegian nursing and engineering stude…

General Computer ScienceEntropymedia_common.quotation_subjectClosenessComplex networksNetwork Science and Online Social NetworksMindset050105 experimental psychologyPsycholinguisticslcsh:QA75.5-76.95Education03 medical and health sciences0302 clinical medicineNursingLearning outcomesPerceptionOpenness to experienceStance detection0501 psychology and cognitive sciencesmedia_commonTeamworkPsycholinguisticsData Science05 social sciencesProfessional developmentHealthcareCognitionSTEMComputational LinguisticsAttitudeVDP::Medisinske Fag: 700::Helsefag: 800lcsh:Electronic computers. Computer science030217 neurology & neurosurgeryMindset modelling
researchProduct

Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships and Data-Driven Selection of Source Datasets

2012

Quantitative structure–activity relationships are regression models relating chemical structure to biological activity. Such models allow to make predictions for toxicologically relevant endpoints, which constitute the target outcomes of experiments. The task is often tackled by instance-based methods, which are all based on the notion of chemical (dis-)similarity. Our starting point is the observation by Raymond and Willett that the two families of chemical distance measures, fingerprint-based and maximum common subgraph-based measures, provide orthogonal information about chemical similarity. This paper presents a novel method for finding suitable combinations of them, called adapted tran…

General Computer Sciencebusiness.industryComputer scienceFingerprint (computing)Chemical similaritycomputer.software_genreMachine learningDistance measuresData-drivenTask (project management)Similarity (network science)Learning curveData miningArtificial intelligencebusinessTransfer of learningcomputerThe Computer Journal
researchProduct

Recent Advances in Complex Networks Theories with Applications

2014

Genetics and Molecular Biology (all)Dynamic network analysisArticle SubjectComputer sciencelcsh:MedicineNetwork sciencelcsh:TechnologyBiochemistryGeneral Biochemistry Genetics and Molecular BiologyTheoreticalModelsHuman dynamicsHumanslcsh:ScienceGeneral Environmental ScienceCognitive science2300lcsh:TInterdependent networksbusiness.industryMedicine (all)lcsh:RGeneral MedicineModels TheoreticalNeural Networks (Computer)Complex networkNetwork dynamicsEditorialEvolving networksHumans; Models Theoretical; Neural Networks (Computer); Medicine (all); Biochemistry Genetics and Molecular Biology (all); 2300lcsh:QNeural Networks ComputerArtificial intelligenceHierarchical network modelbusinessThe Scientific World Journal
researchProduct

Food community networks as leverage for social embeddedness

2013

Social embeddedness, defined as the interaction of economic activities and social behavior, is used in this study as a conceptual tool to describe the growing phenomenon of food community networks (FCNs). The aim in this paper was to map the system of relations which the FCNs develop both inside and outside the network and, from the number of relations, it was inferred the influence of each FCN upon the formation of new socially embedded economic realities. A particular form of FCN was taken under consideration: solidarity purchase groups (SPGs). Performed with the aid of social network analysis on a sample of SPGs in Sicily (a region in southern Italy), the study allowed us to identify a r…

HistoryLeverage (finance)EmbeddednessSocial embeddedness Food community networks Relational structures Local food Sustainable consumptionAgricultural and Biological Sciences (miscellaneous)SolidarityReciprocity (network science)PhenomenonSettore AGR/01 - Economia Ed Estimo RuraleEnvironmental ChemistrySustainable consumptionSociologyEconomic systemReciprocalGeneral Environmental Science
researchProduct

Similarity between morphological characteristics of rills and ephemeral gullies in Sicily, Italy

2009

This paper reports the results of a field investigation aimed to establish morphological similarity between rills and ephemeral gullies. Rill measurements were made on 14 plots having a surface area of 22–352 m2 located on a 14·9% slope and on a plot 6·0 m wide and 22·0 m long having a uniform 22·0% slope. The plots are located on the experimental station for soil erosion measurements, ‘Sparacia’, of the Agricultural Faculty of Palermo University, in Sicily, Italy. All plots are subjected to natural rainfall. The measurements were made immediately following five events between November 2004 and December 2005. The ephemeral gully measurements were made on a cultivated area of about 120 ha, l…

Hydrologygeographygeography.geographical_feature_categoryMorphological similarityEphemeral keyPower relationshipMediterranean BasinRillSimilarity (network science)Soil watererosione del suolo caratteristiche dei rill ephemeral gully analisi dimensionale autosimilitudineSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliRavineGeologyWater Science and Technology
researchProduct

The mobility network of European tourists: a longitudinal study and a comparison with geo-located Twitter data

2018

Purpose This paper aims to provide a network study of the structural and dynamical characteristics of tourism flows in Europe from 1995 to 2012. Design/methodology/approach Travels in Europe were studied by following the network science research paradigm and by focusing on the whole network of intra-European tourism destinations. Network analysis was used to map and reveal the pattern of connections between states as shaped by bilateral tourism flows. Data were provided by the United Nations World Tourism Organization, and the data were integrated with tourism data available from national statistical offices of the individual countries, when necessary. Findings For 2012, results obtained f…

Longitudinal studyTourism destinationsmedia_common.quotation_subjectGeography Planning and DevelopmentNetwork scienceNetworkSettore SECS-P/06 - Economia Applicata01 natural sciencesSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Originality0502 economics and business0103 physical sciencesRegional scienceGeo-located Twitter data010306 general physicsmedia_commonMobility pattern05 social sciencesAdvertisingUNWTOTourism planningGeographyEuropean touristTourism Leisure and Hospitality ManagementMerge (version control)050212 sport leisure & tourismTourismNetwork analysis
researchProduct

Genetic dissimilarity between mates, but not male heterozygosity, influences divorce in schistosomes.

2008

6 pages; International audience; Background: Correlational studies strongly suggest that both genetic similarity and heterozygosity can influence female mate choice. However, the influence of each variable has usually been tested independently, although similarity and heterozygosity might be correlated. We experimentally determined the relative influence of genetic similarity and heterozygosity in divorce and re-mating in the monogamous endoparasite Schistosoma mansoni. Methodology/Principal Findings: We performed sequential infections of vertebrate hosts with controlled larval populations of parasites, where sex and individual genetic diversity and similarity were predetermined before infe…

Male0106 biological sciencesHeterozygoteOffspringmedia_common.quotation_subjectEvolutionary Biology/Sexual BehaviorPublic Health and Epidemiology/Infectious DiseasesPopulation geneticslcsh:MedicineEvolutionary Biology/Evolutionary EcologyBiology010603 evolutionary biology01 natural sciencesCompetition (biology)Loss of heterozygositySexual Behavior Animal03 medical and health sciencesEvolutionary arms raceSimilarity (network science)[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalslcsh:ScienceInfectious Diseases/Helminth Infections030304 developmental biologymedia_commonGenetics0303 health sciencesGenetic diversity[ SDE.BE ] Environmental Sciences/Biodiversity and Ecology[SDV.GEN]Life Sciences [q-bio]/GeneticsEvolutionary Biology/Animal BehaviorMultidisciplinarylcsh:RMate choiceSchistosomaFemalelcsh:Q[SDE.BE]Environmental Sciences/Biodiversity and Ecology[ SDV.GEN ] Life Sciences [q-bio]/GeneticsResearch Article[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
researchProduct

Harmonized benchmark labels of the hippocampus on magnetic resonance: The EADC-ADNI project

2015

Abstract Background A globally harmonized protocol (HarP) for manual hippocampal segmentation based on magnetic resonance has been recently developed by a task force from European Alzheimer's Disease Consortium (EADC) and Alzheimer's Disease Neuroimaging Initiative (ADNI). Our aim was to produce benchmark labels based on the HarP for manual segmentation. Methods Five experts of manual hippocampal segmentation underwent specific training on the HarP and segmented 40 right and left hippocampi from 10 ADNI subjects on both 1.5 T and 3 T scans. An independent expert visually checked segmentations for compliance with the HarP. Descriptive measures of agreement between tracers were intraclass cor…

MaleInservice TrainingEpidemiologyIntraclass correlationNeuroimagingHippocampusCellular and Molecular Neuroscienceddc:616.89Imaging Three-DimensionalDevelopmental NeuroscienceNeuroimagingSimilarity (network science)Alzheimer DiseasemedicineImage Processing Computer-AssistedHumansSegmentationCognitive DysfunctionHARPAgedAged 80 and overmedicine.diagnostic_testbusiness.industryHealth PolicyReproducibility of ResultsMagnetic resonance imagingPattern recognitionOrgan SizeMagnetic Resonance ImagingConfidence intervalPsychiatry and Mental healthBenchmark (computing)FemaleNeurology (clinical)Artificial intelligenceGeriatrics and GerontologyAtrophybusinessPsychologyNeuroscience
researchProduct

SEMI-AUTOMATIC VOLUMETRIC SEGMENTATION OF THE UPPER AIRWAYS IN PATIENTS WITH PIERRE ROBIN SEQUENCE

2014

Pierre Robin malformation is a rare craniofacial dysmorphism whose pathogenesis is multifactorial. Although there is some agreement in non-invasive treatment in less severe cases, the dispute is still open on cases with severe respiratory impairment. We present a semi-automatic novel diagnostic tool for calculating upper airway volume, in order to eventually address surgery in patients with Pierre Robin Sequence (PRS). Multidetector CT datasets of two patients and two controls were tested to assess the proposed method for ROI segmentation, upper airway volume computation and three-dimensional reconstructions. The experimental results show an irregular pattern and a severely reduced cross-s…

MalePathologymedicine.medical_specialtymultidetector CTJaccard indexMultidetector ctImaging Three-DimensionalSimilarity (network science)Multidetector Computed TomographyImage Processing Computer-AssistedMedicineHumansRadiology Nuclear Medicine and imagingIn patientSegmentationairway model reconstructionRobin SequencePierre Robin sequenceAnatomy Cross-SectionalPierre Robin Syndromebusiness.industryairways segmentationInfantGeneral MedicineOriginal ArticlesOrgan SizePIERRE ROBIN SEQUENCE MULTIDETECTOR CT3D renderingAirway ObstructionRegion growingCase-Control StudiesPharynxFemaleNeurology (clinical)LarynxAirwaybusinessNuclear medicineregion growing
researchProduct

Deep Learning Network for Segmentation of the Prostate Gland With Median Lobe Enlargement in T2-weighted MR Images: Comparison With Manual Segmentati…

2021

Purpose: Aim of this study was to evaluate a fully automated deep learning network named Efficient Neural Network (ENet) for segmentation of prostate gland with median lobe enlargement compared to manual segmentation. Materials and Methods: One-hundred-three patients with median lobe enlargement on prostate MRI were retrospectively included. Ellipsoid formula, manual segmentation and automatic segmentation were used for prostate volume estimation using T2 weighted MRI images. ENet was used for automatic segmentation; it is a deep learning network developed for fast inference and high accuracy in augmented reality and automotive scenarios. Student t-test was performed to compare prostate vol…

MaleSimilarity (network science)ProstateImage Processing Computer-AssistedmedicineHumansRadiology Nuclear Medicine and imagingSegmentationRetrospective StudiesprostateArtificial neural networkbusiness.industryDeep learningProstate MRIENetsegmentationPattern recognitionDeep learningMagnetic Resonance ImagingEllipsoidLobemedicine.anatomical_structuredeep learning networkNeural Networks ComputerArtificial intelligencebusinessSettore MED/36 - Diagnostica Per Immagini E RadioterapiaVolume (compression)
researchProduct