Search results for " serie"

showing 10 items of 760 documents

Historical Suitability and Sustainability of Sicani Mountains Landscape (Western Sicily): An Integrated Approach of Phytosociology and Archaeobotany

2020

Since 2015, the ongoing project &ldquo

0106 biological scienceslcsh:TJ807-830anthracologyGeography Planning and DevelopmentPaisajes históricos01 natural sciencesSistemas agrarios de alto valor natural (AVN)lcsh:Environmental scienceslcsh:GE1-350Bosques mediterráneosAntracologíaPhytosociologyearly middle ageslcsh:Environmental effects of industries and plantsHigh nature value (HNV) farmlandVegetationIntegrated approachlandscape archaeologyEarly middle ageGeographyMediterranean woods010506 paleontologylcsh:Renewable energy sourcesManagement Monitoring Policy and LawHigh nature value (HNV) farmlands010603 evolutionary biologyEcología históricaAlta Edad MediaLandscape dynamicsHistorical landscapeshistorical landscapesHistorical landscapePaleoethnobotanyvegetation seriesAnthracology0105 earth and related environmental scienceshistorical ecologyMediterranean woodhigh nature value (HNV) farmlandsRenewable Energy Sustainability and the EnvironmentExcavationPlant communityArchaeologyLandscape archaeologyArqueología del paisajelcsh:TD194-195vegetation scienceSustainabilityEarly middle agesSustainability
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A validity and reliability study of Conditional Entropy Measures of Pulse Rate Variability

2019

In this work, we present the feasibility to use a simpler methodological approach for the assessment of the short-term complexity of Heart Rate Variability (HRV). Specifically, we propose to exploit Pulse Rate Variability (PRV) recorded through photoplethysmography in place of HRV measured from the ECG, and to compute complexity via a linear Gaussian approximation in place of the standard model-free methods (e.g., nearest neighbor entropy estimates) usually applied to HRV. Linear PRV-based and model-free HRV-based complexity measures were compared via statistical tests, correlation analysis and Bland-Altman plots, demonstrating an overall good agreement. These results support the applicabil…

020205 medical informaticsComputer scienceEntropy0206 medical engineeringValidity02 engineering and technologySettore ING-INF/01 - ElettronicaElectrocardiographyPulse Rate Variability (PRV)Heart RatePhotoplethysmogram0202 electrical engineering electronic engineering information engineeringHumansEntropy (information theory)Heart rate variabilityEntropy (energy dispersal)Time seriesPhotoplethysmographyEntropy (arrow of time)Statistical hypothesis testingConditional entropyEntropy (statistical thermodynamics)Reproducibility of ResultsHeart Rate Variability (HRV)020601 biomedical engineeringSettore ING-INF/06 - Bioingegneria Elettronica E InformaticacomplexityAlgorithmEntropy (order and disorder)2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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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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Extravascular coagulation in hematopoietic stem and progenitor cell regulation

2018

Abstract The hemostatic system plays pivotal roles in injury repair, innate immunity, and adaptation to inflammatory challenges. We review the evidence that these vascular-protective mechanisms have nontraditional roles in hematopoietic stem cell (HSC) maintenance in their physiological bone marrow (BM) niches at steady-state and under stress. Expression of coagulation factors and the extrinsic coagulation initiator tissue factor by osteoblasts, tissue-resident macrophages, and megakaryocytes suggests that endosteal and vascular HSC niches are functionally regulated by extravascular coagulation. The anticoagulant endothelial protein C receptor (EPCR; Procr) is highly expressed by primitive …

0301 basic medicineImmunologyBone Marrow Cells030204 cardiovascular system & hematologyBiologyThrombomodulinBiochemistry03 medical and health sciences0302 clinical medicineBone MarrowStress PhysiologicalmedicineAnimalsHumansThromboplastinStem Cell NicheProgenitor cellBlood CoagulationEndothelial protein C receptorReview SeriesHematopoietic Stem Cell TransplantationHematopoietic stem cellCell DifferentiationCell BiologyHematologyHematopoietic Stem CellsHematopoiesisCell biologyHaematopoiesis030104 developmental biologymedicine.anatomical_structureStem cellBiomarkersFibrinolytic agentSignal TransductionBlood
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A Dirichlet Autoregressive Model for the Analysis of Microbiota Time-Series Data

2021

Growing interest in understanding microbiota dynamics has motivated the development of different strategies to model microbiota time series data. However, all of them must tackle the fact that the available data are high-dimensional, posing strong statistical and computational challenges. In order to address this challenge, we propose a Dirichlet autoregressive model with time-varying parameters, which can be directly adapted to explain the effect of groups of taxa, thus reducing the number of parameters estimated by maximum likelihood. A strategy has been implemented which speeds up this estimation. The usefulness of the proposed model is illustrated by application to a case study.

0301 basic medicineMathematical optimizationMultidisciplinaryArticle SubjectGeneral Computer ScienceComputer scienceMaximum likelihoodQA75.5-76.9501 natural sciencesDirichlet distribution010104 statistics & probability03 medical and health sciencessymbols.namesake030104 developmental biologyAutoregressive modelElectronic computers. Computer sciencesymbols0101 mathematicsTime seriesComplexity
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Neuroendocrine differentiation in a large series of genetically-confirmed Ewing’s sarcoma family tumor: Does it provide any diagnostic or prognostic …

2021

Given the potential for neuroendocrine differentiation in Ewing's sarcoma family of tumors (ESFT), we aimed to determine neuroendocrine expression in a large series of genetically-confirmed ESFT and its prognostic significance in clinically-localised neoplasms (n = 176). Slides prepared from tissue microarrays were stained for Insulinoma-associated protein 1 (INSM1), CD56, chromogranin-A and synaptophysin. INSM1 expression was present in 59% of ESFT, while synaptophysin, chromogranin-A and CD56 were expressed in only 13%, 8% and 5% of ESFT, respectively. Histological subtypes were only significantly correlated with INSM1 (p = 0.032) or CD56 (p = 0.016) immunoexpression. Regarding prognosis,…

0301 basic medicinePrognostic factorLung NeoplasmsSynaptophysinSarcoma EwingNeuroendocrine differentiationPathology and Forensic Medicine03 medical and health sciences0302 clinical medicineBiomarkers TumormedicineHumansTissue microarraybiologybusiness.industryEwing's sarcomaLarge seriesChromogranin ACell DifferentiationCell Biologymedicine.diseaseCarcinoma NeuroendocrineRepressor Proteins030104 developmental biology030220 oncology & carcinogenesisSynaptophysinbiology.proteinCancer researchSarcomabusinessPathology - Research and Practice
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Identification and visualization of differential isoform expression in RNA-seq time series

2018

Abstract Motivation As sequencing technologies improve their capacity to detect distinct transcripts of the same gene and to address complex experimental designs such as longitudinal studies, there is a need to develop statistical methods for the analysis of isoform expression changes in time series data. Results Iso-maSigPro is a new functionality of the R package maSigPro for transcriptomics time series data analysis. Iso-maSigPro identifies genes with a differential isoform usage across time. The package also includes new clustering and visualization functions that allow grouping of genes with similar expression patterns at the isoform level, as well as those genes with a shift in major …

0301 basic medicineStatistics and ProbabilityGene isoformIdentificationComputer scienceSequence analysisGene ExpressionRNA-SeqComputational biologyBiochemistryBioconductorTranscriptomeMice03 medical and health sciences0302 clinical medicineEstadística e Investigación OperativaRNA IsoformsAnimalsMolecular BiologyGeneVisualizationRegulation of gene expressionB-LymphocytesSequence Analysis RNAGene Expression ProfilingCell DifferentiationApplications NotesComputer Science ApplicationsVisualizationComputational Mathematics030104 developmental biologyGene Expression RegulationComputational Theory and MathematicsRNA-seq time seriesSoftware030217 neurology & neurosurgeryIsoform expression
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A comprehensive approach to assigning periodontal prognosis

2018

Abstract Aim The purpose of this retrospective case series study was to evaluate the usefulness and performance of a comprehensive approach to assigning periodontal prognosis by assessing the risk of tooth loss due to periodontal disease (TLPD) and estimate the survival time (ST) of periodontally compromised teeth (PCT). Material and Methods The Long‐Term Outcome (LTO) index was utilized to assess the risk of TLPD, at baseline, in 100 patients following periodontal maintenance for a mean 24.7 year (±2.4). A TLPD prediction model was utilized to assign ST to PCT. The performance of the TLPD prediction based on both parameters was assessed. Results The mean TLPD rate increased as the LTO inde…

0301 basic medicineperiodontal prognosismedicine.medical_specialtybusiness.industryperiodontal diseaseCase Report or Case Series030206 dentistryLower riskPeriodontal Therapy03 medical and health sciences030104 developmental biology0302 clinical medicinePeriodontal diseasetooth lossInternal medicineTooth lossmedicinePeriodonticsIn patientmedicine.symptombusinessPeriodontal maintenanceCase seriesJournal of Clinical Periodontology
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Ficciones inmunitarias. Sobre la lógica de la inmunidad en la cultura contemporánea

2018

This article develops the concept of “immunitarian fiction” taking as paradigmatic examples epidemics and zombie narratives, which share the idea of contagion as the main matrix of their narrative. The article tries to address the following question: in what way do these fictions, and other similar ones, participate in the imaginary of immunity and, at the same time, show some of their internal contradictions? For this, the text reflects on a set of cultural products of mass diffusion (novels, television series, cinematographic works). We analyze, in the first place, how these fictions highlight the fears and social anxieties linked to the tensions of the “immune paradigm” and represent the…

050103 clinical psychologyMultiple forms05 social sciencesZombieMatrix (music)Television serieslcsh:HM401-1281Castellà0506 political scienceEpistemologylcsh:Sociology (General)050602 political science & public administration0501 psychology and cognitive sciencesNarrativeMass diffusionSociologySet (psychology)inmunidad; contagio; epidemia; zombi; shockThe Imaginary
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System Dynamics in the Predictive Analytics of Container Freight Rates

2021

This study proposes a two-tier cross-validation and backtesting procedure, including expanding and rolling-window test metrics in predictive analytics of container freight rates by utilizing the system dynamics approach. The study utilized system dynamics to represent the nonlinear complex structure of container freight rates for predictive analytics and performed univariate and multivariate time-series analysis as benchmarks of the conventional approach. In particular, the China containerized freight index (CCFI) has been investigated through various parametric methodologies (both conventional time-series and system dynamics approaches). This study follows a strict validation process cons…

050210 logistics & transportationOperations researchComputer science05 social sciencesContainerizationTransportation02 engineering and technologyPredictive analyticsSystem dynamics0502 economics and businessContainer (abstract data type)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingTime seriesLiner shippingCivil and Structural EngineeringTransportation Science
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