Search results for "Statistica"

showing 10 items of 5969 documents

On a Planar Dynamical System Arising in the Network Control Theory

2016

We study the structure of attractors in the two-dimensional dynamical system that appears in the network control theory. We provide description of the attracting set and follow changes this set suffers under the changes of positive parameters µ and Θ.

0301 basic medicineDynamical systems theoryPhase portraitattractor selection020206 networking & telecommunicationsphase portraits02 engineering and technologyDynamical systemnetworks controldynamical systemLinear dynamical system03 medical and health sciences030104 developmental biologyProjected dynamical systemControl theoryModeling and SimulationAttractor0202 electrical engineering electronic engineering information engineeringQA1-939Statistical physicsLimit setRandom dynamical systemAnalysisMathematicsMathematicsMathematical Modelling and Analysis
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Inferring causation from time series in earth system sciences

2019

The heart of the scientific enterprise is a rational effort to understand the causes behind the phenomena we observe. In large-scale complex dynamical systems such as the Earth system, real experiments are rarely feasible. However, a rapidly increasing amount of observational and simulated data opens up the use of novel data-driven causal methods beyond the commonly adopted correlation techniques. Here, we give an overview of causal inference frameworks and identify promising generic application cases common in Earth system sciences and beyond. We discuss challenges and initiate the benchmark platform causeme.net to close the gap between method users and developers.

0301 basic medicineEarth scienceAquatic Ecology and Water Quality ManagementDynamical systems theoryComputer science530 PhysicsDatenmanagement und AnalyseSciencereviewGeneral Physics and Astronomyheart02 engineering and technologyGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesDatabasesLife ScienceCausationStatistical physics thermodynamics and nonlinear dynamicsintermethod comparisonlcsh:Scienceresearch workScientific enterpriseMultidisciplinaryWIMEKSeries (mathematics)QComputational sciencefeasibility study500General ChemistryAquatische Ecologie en Waterkwaliteitsbeheersimulation021001 nanoscience & nanotechnologyData sciencecausal inference climateEarth system scienceEnvironmental sciences030104 developmental biologytime series analysisCausal inferencePerspectiveBenchmark (computing)Observational studylcsh:Qconceptual frameworkdata management0210 nano-technologyClimate sciences
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The more the merrier? Scoring, statistics and animal welfare in experimental autoimmune encephalomyelitis.

2016

Experimental autoimmune encephalomyelitis (EAE) is a frequently used animal model for the investigation of autoimmune processes in the central nervous system. As such, EAE is useful for modelling certain aspects of multiple sclerosis, a human autoimmune disease that leads to demyelination and axonal destruction. It is an important tool for investigating pathobiology, identifying drug targets and testing drug candidates. Even though EAE is routinely used in many laboratories and is often part of the routine assessment of knockouts and transgenes, scoring of the disease course has not become standardized in the community, with at least 83 published scoring variants. Varying scales with diffe…

0301 basic medicineEncephalomyelitis Autoimmune Experimental3400 General Veterinary610 Medicine & healthAnimal WelfareDisease course03 medical and health sciences0302 clinical medicineAnimal modelAnimals LaboratorymedicineAnimalsStatistical analysis10239 Institute of Laboratory Animal SciencerefinementAutoimmune diseasescoring scalesGeneral VeterinaryAnimal Welfare (journal)business.industryEAEMultiple sclerosisExperimental autoimmune encephalomyelitismedicine.diseasehumane endpointsDisease Models Animal030104 developmental biologyResearch DesignAnimals Domestic570 Life sciences; biologyAnimal Science and Zoology1103 Animal Science and ZoologybusinessNeuroscience030217 neurology & neurosurgeryLaboratory animals
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Compliance, practices, and attitudes towards VTIs (Vehicle Technical Inspections) in Spain: What prevents Spanish drivers from checking up their cars?

2021

Objective Mechanical conditions of vehicles may play a determinant role in driving safety, the reason why vehicle periodical technical inspections (VTIs) are mandatory in many countries. However, the high number of drivers sanctioned for not complying with this regulation is surprisingly high, and there is not much evidence on what kind(s) of motives may explain this concerning panorama. This study aimed to identify the aspects that modulate the relationship between complying (or not) with VTI’s standards in a nationwide sample of Spanish drivers. The study design also addressed the drivers’ awareness regarding different risky behaviors while driving, depending on their sex and their crash…

0301 basic medicineEpidemiologyApplied psychologyPoison controlSocial SciencesCrashTransportationSuicide preventionOccupational safety and health0302 clinical medicineProfessional CompetenceMathematical and Statistical TechniquesConsciènciaPsychological AttitudesSurveys and QuestionnairesMedicine and Health SciencesPsychologyPublic and Occupational Health030212 general & internal medicineeducation.field_of_studyMultidisciplinaryAlcohol ConsumptionSeguretat viàriaStatisticsQAccidents TrafficRHuman factors and ergonomicsTransportation InfrastructureResearch DesignPhysical SciencesEngineering and TechnologyMedicineSafetyPsychologyResearch ArticleAutomobile DrivingCensusSciencePopulationSample (statistics)Research and Analysis MethodsCivil Engineering03 medical and health sciencesRisk-TakingInjury preventionHumansStatistical MethodseducationRegulationsNutritionAnalysis of VarianceSurvey ResearchTraffic SafetyBiology and Life SciencesVehiclesRoadsDiet030104 developmental biologySpainMedical Risk FactorsLaw and Legal SciencesAutomobilesMathematicsPLoS ONE
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Low-energy extracorporeal shockwave therapy (ESWT) improves metaphyseal fracture healing in an osteoporotic rat model.

2017

Purpose As result of the current demographic changes, osteoporosis and osteoporotic fractures are becoming an increasing social and economic burden. In this experimental study, extracorporeal shock wave therapy (ESWT), was evaluated as a treatment option for the improvement of osteoporotic fracture healing. Methods A well-established fracture model in the metaphyseal tibia in the osteoporotic rat was used. 132 animals were divided into 11 groups, with 12 animals each, consisting of one sham-operated group and 10 ovariectomized (osteoporotic) groups, of which 9 received ESWT treatment. Different energy flux intensities (0.15 mJ/mm2, 0.35 mJ/mm2, or 0.55 mJ/mm2) as well as different numbers o…

0301 basic medicineExtracorporeal Shockwave TherapyCritical Care and Emergency Medicinemedicine.medical_treatmentOsteoporosisTest StatisticsDentistryGene Expressionlcsh:MedicineRats Sprague-Dawley0302 clinical medicineMathematical and Statistical TechniquesAnimal CellsMedicine and Health SciencesReproductive System ProceduresConnective Tissue Diseaseslcsh:ScienceMusculoskeletal SystemTrauma MedicineConnective Tissue CellsFracture Healing030222 orthopedicsMultidisciplinaryBiomechanicsBone FractureConnective TissueExtracorporeal shockwave therapyPhysical SciencesOvariectomized ratFemaleAnatomyCellular TypesTraumatic InjuryStatistics (Mathematics)Research ArticleOvariectomySurgical and Invasive Medical ProceduresBone healingResearch and Analysis Methods03 medical and health sciencesRheumatologymedicineGeneticsAnimalsTibiaStatistical MethodsSkeletonAnalysis of VarianceOsteoblastsSurgical ExcisionTibiabusiness.industrylcsh:RBiology and Life SciencesBone fractureCell Biologymedicine.diseaseRatsDisease Models Animal030104 developmental biologyBiological TissueAdjunctive treatmentOsteoporosislcsh:QbusinessOsteoporotic FracturesMathematicsPLoS ONE
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Integrative analysis of structural variations using short-reads and linked-reads yields highly specific and sensitive predictions.

2020

Genetic diseases are driven by aberrations of the human genome. Identification of such aberrations including structural variations (SVs) is key to our understanding. Conventional short-reads whole genome sequencing (cWGS) can identify SVs to base-pair resolution, but utilizes only short-range information and suffers from high false discovery rate (FDR). Linked-reads sequencing (10XWGS) utilizes long-range information by linkage of short-reads originating from the same large DNA molecule. This can mitigate alignment-based artefacts especially in repetitive regions and should enable better prediction of SVs. However, an unbiased evaluation of this technology is not available. In this study, w…

0301 basic medicineFalse discovery rateComputer scienceArtificial Gene Amplification and ExtensionPolymerase Chain ReactionDatabase and Informatics MethodsSequencing techniques0302 clinical medicineBreast TumorsBasic Cancer ResearchMedicine and Health SciencesDNA sequencingBiology (General)EcologyHigh-Throughput Nucleotide SequencingGenomicsDNA Neoplasm3. Good healthIdentification (information)OncologyComputational Theory and MathematicsModeling and SimulationMCF-7 CellsFemaleSequence AnalysisResearch ArticleBioinformaticsQH301-705.5Breast NeoplasmsGenomicsComputational biologyResearch and Analysis MethodsHuman Genomics03 medical and health sciencesCellular and Molecular NeuroscienceCancer GenomicsGenomic MedicineBreast CancerGeneticsDNA Barcoding TaxonomicHumansMolecular Biology TechniquesMolecular BiologyEcology Evolution Behavior and SystematicsWhole genome sequencingLinkage (software)Whole Genome SequencingGenome HumanDideoxy DNA sequencingGenetic Diseases InbornCancers and NeoplasmsBiology and Life SciencesComputational BiologyStatistical modelSequence Analysis DNARepetitive RegionsLogistic Models030104 developmental biologyGenomic Structural VariationHuman genomeSequence Alignment030217 neurology & neurosurgeryPLoS Computational Biology
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2016

We determine knotting probabilities and typical sizes of knots in double-stranded DNA for chains of up to half a million base pairs with computer simulations of a coarse-grained bead-stick model: Single trefoil knots and composite knots which include at least one trefoil as a prime factor are shown to be common in DNA chains exceeding 250,000 base pairs, assuming physiologically relevant salt conditions. The analysis is motivated by the emergence of DNA nanopore sequencing technology, as knots are a potential cause of erroneous nucleotide reads in nanopore sequencing devices and may severely limit read lengths in the foreseeable future. Even though our coarse-grained model is only based on …

0301 basic medicineGel electrophoresis of nucleic acidsBase pairMonte Carlo methodBiologyBioinformatics01 natural sciences03 medical and health sciencesCellular and Molecular Neurosciencechemistry.chemical_compoundstomatognathic system0103 physical sciencesGeneticsStatistical physics010306 general physicsMolecular BiologyTrefoilEcology Evolution Behavior and SystematicsPersistence lengthQuantitative Biology::BiomoleculesEcologyfood and beveragesMathematics::Geometric TopologyNanoporesurgical procedures operative030104 developmental biologyComputational Theory and MathematicschemistryModeling and SimulationNanopore sequencingDNAPLOS Computational Biology
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FragClust and TestClust, two informatics tools for chemical structure hierarchical clustering analysis applied to lipidomics. The example of Alzheime…

2016

Lipidomic analysis is able to measure simultaneously thousands of compounds belonging to a few lipid classes. In each lipid class, compounds differ only by the acyl radical, ranging between C10:0 (capric acid) and C24:0 (lignoceric acid). Although some metabolites have a peculiar pathological role, more often compounds belonging to a single lipid class exert the same biological effect. Here, we present a lipidomics workflow that extracts the tandem mass spectrometry data from individual files and uses them to group compounds into structurally homogeneous clusters by chemical structure hierarchical clustering analysis (CHCA). The case-to-control peak area ratios of the metabolites are then a…

0301 basic medicineHigh-resolution mass spectrometrySettore MED/09 - Medicina InternaChemical structureComputational biologyPlasma biomarkers01 natural sciencesTriglycerideBiochemistryHomogeneous clustersAnalytical ChemistryCeramide03 medical and health sciencesAlzheimer DiseaseTandem Mass SpectrometryHealth informatics toolsLipidomicsHumansStatistical analysisData miningChromatography High Pressure LiquidAgedAged 80 and overMolecular StructureChemistry010401 analytical chemistryLipids0104 chemical sciencesHierarchical clusteringPhospholipid030104 developmental biologyWorkflowBiochemistryCase-Control StudiesSettore MED/26 - Neurologia
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Dynamical Features of the MAP Kinase Cascade

2017

The MAP kinase cascade is an important signal transduction system in molecular biology for which a lot of mathematical modelling has been done. This paper surveys what has been proved mathematically about the qualitative properties of solutions of the ordinary differential equations arising as models for this biological system. It focuses, in particular, on the issues of multistability and the existence of sustained oscillations. It also gives a concise introduction to the mathematical techniques used in this context, bifurcation theory and geometric singular perturbation theory, as they relate to these specific examples. In addition further directions are presented in which the application…

0301 basic medicineHopf bifurcationSingular perturbationComputer scienceContext (language use)MAP kinase cascade01 natural sciences010305 fluids & plasmas03 medical and health sciencessymbols.namesake030104 developmental biologyBifurcation theoryOrdinary differential equation0103 physical sciencessymbolsSustained oscillationsStatistical physicsMultistability
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Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics

2015

The new digital revolution of big data is deeply changing our capability of understanding society and forecasting the outcome of many social and economic systems. Unfortunately, information can be very heterogeneous in the importance, relevance, and surprise it conveys, affecting severely the predictive power of semantic and statistical methods. Here we show that the aggregation of web users' behavior can be elicited to overcome this problem in a hard to predict complex system, namely the financial market. Specifically, our in-sample analysis shows that the combined use of sentiment analysis of news and browsing activity of users of Yahoo! Finance greatly helps forecasting intra-day and dai…

0301 basic medicineINFORMATIONEconomicsComputer scienceBig datalcsh:MedicineSocial SciencesQuantitative Finance - Computational Financesocial and economic systemsMathematical and Statistical TechniquesSociologybig dataEconometrics050207 economicsComputer NetworksCapital Marketslcsh:ScienceFinancial Marketsmedia_common050208 financeMultidisciplinary05 social sciencesCommerceSocial CommunicationSettore FIS/02 - Fisica Teorica Modelli e Metodi MatematiciSurpriseModels EconomicSocial NetworksPhysical SciencesSocial SystemsEngineering and TechnologyComputational sociologyBEHAVIORStatistics (Mathematics)Network AnalysisResearch ArticleComputer and Information SciencesExploitmedia_common.quotation_subjectTwitterComputational Finance (q-fin.CP)Research and Analysis MethodsFOS: Economics and business03 medical and health sciencesSEARCH0502 economics and businessHumansRelevance (information retrieval)Web navigationInvestmentsStatistical MethodsInternetStatistical Finance (q-fin.ST)STOCK-MARKETbusiness.industrylcsh:RSentiment analysisFinancial marketATTENTIONQuantitative Finance - Statistical FinanceCommunicationsNoise ReductionFinancial Firms030104 developmental biologySignal ProcessingPredictive powerlcsh:QStock marketbusinessSocial MediaFinanceMathematicsForecastingPLOS ONE
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