Search results for "Cluster Analysis"

showing 10 items of 848 documents

Association between clusters of diseases and polypharmacy in hospitalized elderly patients: results from the REPOSI study.

2011

BACKGROUND: Although the association between multimorbidity and polypharmacy has been clearly documented, no study has analyzed whether or not specific combinations of diseases influence the prescription of polypharmacy in older persons. We assessed which clusters of diseases are associated with polypharmacy in acute-care elderly in-patients. METHODS: This cross-sectional study was held in 38 Italian internal medicine and geriatric wards participating in the Registro Politerapie SIMI (REPOSI) study during 2008. The study sample included 1155 in-patients aged 65 years or older. Clusters of diseases, defined as two or more co-occurring specific chronic diseases, were identified using the odds…

---Lung DiseasesMaleSettore MED/09 - Medicina InternaCross-sectional studyGastrointestinal DiseasesComorbidityRisk FactorsNeoplasmsPrevalenceCluster AnalysisHospitalized elderlyclustersGeriatricsAged 80 and overCOPDREPOSISettore MED/45 - Scienze Infermieristiche Generali Cliniche E PediatricheHospitalization---; clusters; polypharmacy; REPOSI; elderlyCardiovascular DiseasesFemalemedicine.medical_specialtyEndocrine System DiseaseselderlyCluster of diseasesInternal medicineDiabetes mellitusmedicineDiabetes MellitusInternal MedicineMultimorbidityHumansCluster of diseases; Hospitalized elderly; PolypharmacyAgedPolypharmacybusiness.industryPolypharmacy Cluster of diseases Hospitalized elderlyOdds ratiomedicine.diseaseComorbidityCross-Sectional StudiesLogistic ModelsGeriatricsPhysical therapyPolypharmacyDementiaMorbiditybusinessEuropean journal of internal medicine
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Joint interpretation of seismic refraction tomography and electrical resistivity tomography by cluster analysis to detect buried cavities

2020

Abstract In the last few years, the geophysical methods of seismic refraction tomography (SRT) and electrical resistivity tomography (ERT) are among the most used geophysical techniques for the reconstruction of subsoil geometries, for the investigation of underground cavities and also for the archaeological prospecting. However, the main disadvantage of each geophysical method is the difficulty of final interpretation of the data. In order to eliminate artifacts and generally improve the reliability and accuracy of geophysical interpretation, it is useful to perform a joint approach of different geophysical methods, also introducing the a priori information. In this work, it is shown the i…

010504 meteorology & atmospheric sciences010502 geochemistry & geophysics01 natural sciencesSRT ERT Joint interpretation K-means cluster analysis Modeling CavityInterpretation (model theory)GeophysicsElectrical resistivity and conductivitySettore GEO/11 - Geofisica ApplicataCluster (physics)A priori and a posterioriTomographySeismic refractionElectrical resistivity tomographyJoint (geology)GeologySeismology0105 earth and related environmental sciences
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Estimating Missing Information by Cluster Analysis and Normalized Convolution

2018

International audience; Smart city deals with the improvement of their citizens' quality of life. Numerous ad-hoc sensors need to be deployed to know humans' activities as well as the conditions in which these actions take place. Even if these sensors are cheaper and cheaper, their installation and maintenance cost increases rapidly with their number. We propose a methodology to limit the number of sensors to deploy by using a standard clustering technique and the normalized convolution to estimate environmental information whereas sensors are actually missing. In spite of its simplicity, our methodology lets us provide accurate assesses.

010504 meteorology & atmospheric sciencesComputer sciencemedia_common.quotation_subjectReal-time computingEnergy Engineering and Power Technology02 engineering and technologyIterative reconstructionsmart city dealsCluster (spacecraft)01 natural sciencesIndustrial and Manufacturing Engineeringnormalized convolutionstandard clustering technique[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]ConvolutionArtificial IntelligenceSmart city11. Sustainability0202 electrical engineering electronic engineering information engineeringLimit (mathematics)SimplicityCluster analysisInstrumentationad-hoc sensors0105 earth and related environmental sciencesmedia_commonSettore INF/01 - InformaticaRenewable Energy Sustainability and the EnvironmentComputer Science Applications1707 Computer Vision and Pattern Recognitionenvironmental informationmissing informationComputer Networks and CommunicationKernel (image processing)020201 artificial intelligence & image processingcluster analysis2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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An autonomous petrological database for geodynamic simulations of magmatic systems

2022

SUMMARY Self-consistent modelling of magmatic systems is challenging as the melt continuously changes its chemical composition upon crystallization, which may affect the mechanical behaviour of the system. Melt extraction and subsequent crystallization create new rocks while depleting the source region. As the chemistry of the source rocks changes locally due to melt extraction, new calculations of the stable phase assemblages are required to track the rock evolution and the accompanied change in density. As a consequence, a large number of isochemical sections of stable phase assemblages are required to study the evolution of magmatic systems in detail. As the state-of-the-art melting diag…

010504 meteorology & atmospheric sciencesDatabaseFunction (mathematics)Parameter space010502 geochemistry & geophysicscomputer.software_genre01 natural sciencesGeophysicsGeochemistry and Petrology13. Climate actionPhase (matter)Principal component analysisProbability distributionComputational problemCluster analysiscomputerMassively parallel0105 earth and related environmental sciencesGeophysical Journal International
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Gene expression patterns underlying parasite-induced alterations in host behaviour and life history

2015

Many parasites manipulate their hosts' phenotype. In particular, parasites with complex life cycles take control of their intermediate hosts' behaviour and life history to increase transmission to their definitive host. The proximate mechanisms underlying these parasite-induced alterations are poorly understood. The cestode Anomotaenia brevis affects the behaviour, life history and morphology of parasitized Temnothorax nylanderi ants and indirectly of their unparasitized nestmates. To gain insights on how parasites alter host phenotypes, we contrast brain gene expression patterns of T. nylanderi workers parasitized with the cestode, their unparasitized nestmates and unparasitized workers fr…

0106 biological sciences0301 basic medicineTemnothorax nylanderimedia_common.quotation_subjectLongevityved/biology.organism_classification_rank.speciesCestodaGenes InsectBiology010603 evolutionary biology01 natural sciencesHost-Parasite InteractionsTranscriptome03 medical and health sciencesGeneticsAnimalsCluster AnalysisParasite hostingGeneEcology Evolution Behavior and Systematicsmedia_commonGeneticsBehavior AnimalAntsved/biologyHost (biology)Longevitybiology.organism_classificationPhenotypePhenotype030104 developmental biologyCestodaTranscriptomeMolecular Ecology
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How challenging RADseq data turned out to favor coalescent-based species tree inference. A case study in Aichryson (Crassulaceae)

2022

Analysing multiple genomic regions while incorporating detection and qualification of discordance among regions has become standard for understanding phylogenetic relationships. In plants, which usually have comparatively large genomes, this is feasible by the combination of reduced-representation library (RRL) methods and high-throughput sequencing enabling the cost effective acquisition of genomic data for thousands of loci from hundreds of samples. One popular RRL method is RADseq. A major disadvantage of established RADseq approaches is the rather short fragment and sequencing range, leading to loci of little individual phylogenetic information. This issue hampers the application of coa…

0106 biological sciences570clustering threshold selectionInferenceLocus (genetics)Computational biologyBiologyCrassulaceaedata bias010603 evolutionary biology01 natural sciencesGenomeCoalescent theoryspecies tree inference03 medical and health scienceslocus filteringGeneticscoalescent-based summary methodCluster analysisMolecular BiologyEcology Evolution Behavior and SystematicsSelection (genetic algorithm)Phylogeny030304 developmental biology0303 health sciencesGenomePhylogenetic treeHigh-Throughput Nucleotide SequencingGenomicsRADseq500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; BiologieTree (data structure)
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Pleurotus opuntiae revisited e An insight to the phylogeny of dimitic Pleurotus species with emphasis on the P. djamor complex

2018

Abstract The name Pleurotus opuntiae is indiscriminately used for describing mushrooms with white to off-white to white-grey pilei with short or absent stipe and dimitic hyphal system, which grow on plants of the genera Opuntia, Yucca, Agave, Phytolacca etc. However, the outcome of the present study evidences that this name should be reserved for specimens deriving from the Mediterranean area only; an epitype originating from Italy on Opuntia ficus-indica is designated. Pertinent material was sequenced by using the internal transcribed spacer region (ITS) and found to be phylogenetically related to P. djamor from Kenya and Nigeria, while members of the P. djamor complex from other continent…

0106 biological sciencesContext (language use)Pleurotus01 natural sciences03 medical and health sciencesStipe (botany)BotanyDNA Ribosomal SpacerRNA Ribosomal 28SGeneticsCluster AnalysisInternal transcribed spacerDNA FungalRibosomal DNAEcology Evolution Behavior and SystematicsPhylogeny030304 developmental biology0303 health sciencesPleurotusbiologyMediterranean RegionSettore BIO/02 - Botanica SistematicaSequence Analysis DNAPlantsbiology.organism_classificationAgaveInfectious DiseasesTaxonGenetic distanceItalySettore BIO/03 - Botanica Ambientale E ApplicataRNA Polymerase IIFungal taxonomy ITS Multi-gene phylogeny Opuntia ficus-indica Oyster mushroom Pleurotus opuntiae epitype010606 plant biology & botany
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Interspecific interactions influence contrasting spatial genetic structures in two closely related damselfly species

2014

Spatial genetic structure (SGS) is largely determined by colonization history, landscape and ecological characteristics of the species. Therefore, sympatric and ecologically similar species are expected to exhibit similar SGSs, potentially enabling prediction of the SGS of one species from that of another. On the other hand, due to interspecific interactions, ecologically similar species could have different SGSs. We explored the SGSs of the closely related Calopteryx splendens and Calopteryx virgo within Finland and related the genetic patterns to characteristics of the sampling localities. We observed different SGSs for the two species. Genetic differentiation even within short distances …

0106 biological sciencesGene FlowInsectaRange (biology)Population geneticsBiology010603 evolutionary biology01 natural sciencesGene flow03 medical and health sciencesGenetic driftSpecies SpecificityGeneticsAnimalsCluster AnalysisEcology Evolution Behavior and SystematicsFinland030304 developmental biology0303 health sciencesGenetic diversityGeographyEcologyGenetic DriftGenetic VariationBayes TheoremInterspecific competitionSequence Analysis DNA15. Life on landSympatryGenetics PopulationSympatric speciationGenetic structureta1181Molecular Ecology
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Unsupervised Classification of Acoustic Echoes from Two Krill Species in the Southern Ocean (Ross Sea)

2021

This work presents a computational methodology able to automatically classify the echoes of two krill species recorded in the Ross sea employing scientific echo-sounder at three different frequencies (38, 120 and 200 kHz). The goal of classifying the gregarious species represents a time-consuming task and is accomplished by using differences and/or thresholds estimated on the energy features of the insonified targets. Conversely, our methodology takes into account energy, morphological and depth features of echo data, acquired at different frequencies. Internal validation indices of clustering were used to verify the ability of the clustering in recognizing the correct number of species. Th…

0106 biological sciencesKrillbiologybusiness.industry010604 marine biology & hydrobiologyEuphausiaSettore MAT/01 - Logica MatematicaEuphausia crystallorophiasbiology.organism_classificationSpatial distributionMachine learning for pelagic species classification01 natural sciencesKrill identification010104 statistics & probabilityRoss SeaAcoustic dataArtificial intelligence0101 mathematicsCluster analysisbusinessRelative species abundanceGeologyEnergy (signal processing)Global biodiversityRemote sensing
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Reverse-engineering the Arabidopsis thaliana transcriptional network under changing environmental conditions

2009

46 pages, 4 tables, 6 figures, 3 additinoal files.

0106 biological sciencesMESH: Genome PlantArabidopsis thalianaGene regulatory networkArabidopsis01 natural sciencesTranscriptomeGene Expression Regulation PlantArabidopsisMESH: Gene Expression Regulation DevelopmentalCluster AnalysisGene Regulatory NetworksMESH: ArabidopsisMESH: EcosystemMESH: Models GeneticOligonucleotide Array Sequence AnalysisMESH: Gene Regulatory NetworksGenetics0303 health sciencesMESH: Stress MechanicalbiologyMESH: Genomicsfood and beveragesGene Expression Regulation DevelopmentalGenomicsPhenotypeAlgorithmsGenome PlantMESH: MutationSystems biologyGenomicsMESH: AlgorithmsComputational biologyMESH: Arabidopsis ProteinsMESH: Phenotype03 medical and health sciencesMESH: Gene Expression Profiling[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyMESH: Gene Expression Regulation PlantEcosystem030304 developmental biologyModels GeneticMicroarray analysis techniquesArabidopsis ProteinsGene Expression ProfilingResearchfungiRobustness (evolution)biology.organism_classificationMESH: Cluster AnalysisGene expression profilingMutationMESH: Oligonucleotide Array Sequence AnalysisStress Mechanical010606 plant biology & botany
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