Search results for "PREDICTABILITY"

showing 10 items of 103 documents

Exploring the Effectiveness of Dialectical Behavior Therapy Versus Systems Training for Emotional Predictability and Problem Solving in a Sample of P…

2021

Dialectical behavior therapy (DBT) and systems training for emotional predictability and problem solving (STEPPS) are two treatment protocols for people with borderline personality disorder (BPD) that have received important empirical support. However, their possible differential effectiveness has not yet been studied. The objective of this study is to explore the effectiveness of these two treatment programs. A nonrandomized clinical trial was carried out in which both treatments were applied for six months. The sample consisted of 72 patients diagnosed with BPD. The results indicate that both groups experienced a statistically significant reduction in BPD symptom, emotional regulation, i…

dialectical behavior therapy050103 clinical psychologymedicine.drug_classmedia_common.quotation_subjectmedicine.medical_treatmentEmotionspersonality disorderAngerDissociativebehavioral disciplines and activitiesDialectical Behavior Therapy03 medical and health sciences0302 clinical medicineBehavior TherapyBorderline Personality Disordermental disordersmedicineHumans0501 psychology and cognitive sciencesPredictabilityBorderline personality disorderDepression (differential diagnoses)Problem Solvingmedia_commonSystems Training for Emotional Predictability and Problem Solving05 social sciencespsychological treatmentEmotional regulationmedicine.diseaseDialectical behavior therapy030227 psychiatryClinical trialPsychiatry and Mental healthClinical PsychologyTreatment OutcomePsychotherapy GroupPsychologyborderline personality disorderClinical psychologyJournal of personality disorders
researchProduct

Information Dynamics of Electric Field Intensity before and during the COVID-19 Pandemic.

2022

This work investigates the temporal statistical structure of time series of electric field (EF) intensity recorded with the aim of exploring the dynamical patterns associated with periods with different human activity in urban areas. The analyzed time series were obtained from a sensor of the EMF RATEL monitoring system installed in the campus area of the University of Novi Sad, Serbia. The sensor performs wideband cumulative EF intensity monitoring of all active commercial EF sources, thus including those linked to human utilization of wireless communication systems. Monitoring was performed continuously during the years 2019 and 2020, allowing us to investigate the effects on the patterns…

dynamical systems; electric field intensity; nonlinear dynamics; predictability; complexity; human mobilitySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGeneral Physics and Astronomycomplexity dynamical systems electric field intensity human mobility nonlinear dynamics predictabilityEntropy (Basel, Switzerland)
researchProduct

Les vagues de chaleur au Sahel : caractérisation, mécanismes, prévisibilité.

2016

The mechanisms controlling Sahelian heat wave (HW) variability are examined on the period 1979-2014 using the GSOD observational database and ERA-Interim reanalyses. HW events are analyzed through all terms of the atmospheric energy balance, showing a predominant role of incoming shortwave radiation on daily maximum temperature (Tx) and atmospheric water vapor on minimum temperature (Tn). The low-frequency warming trend, not explained by the previous terms, is thought to relate to the increase of greenhouse gases concentrations, due to anthropogenic emissions. The predictability of Sahelian HW events is assessed for lead times reaching up to 15 days. The model's skill, biases and uncertaint…

heat wavevague de chaleur[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyvariabilityvariabilitépredictabilitySahelACASISprévisibilité[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatology
researchProduct

CHOOSING OF OPTIMAL REFERENCE SAMPLES FOR BOREAL LAKE CHLOROPHYLL A CONCENTRATION MODELING USING AERIAL HYPERSPECTRAL DATA

2018

Abstract. Optical remote sensing has potential to overcome the limitations of point estimations of lake water quality by providing spatial and temporal information. In open ocean waters the optical properties are dominated by phytoplankton density, while the relationship between color and the constituents is more complicated in inland waters varying regionally and seasonally. Concerning the difficulties relating to comprehensive modeling of complex inland and coastal waters, the alternative approach is considered in this paper: the raw digital numbers (DN) recorded using aerial remote hyperspectral sensing are used without corrections and derived by means of regression modeling to predict C…

lcsh:Applied optics. Photonics010504 meteorology & atmospheric scienceshyperspectral imagingwater quality monitoringchlorophyll a0211 other engineering and technologies02 engineering and technologylcsh:Technology01 natural sciencesStandard deviationPhytoplanktonPredictabilityCluster analysis021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensinglcsh:Tlcsh:TA1501-1820Hyperspectral imagingSampling (statistics)Statistical modelRegression analysislake water coloraerial remote sensinglcsh:TA1-2040Environmental sciencelcsh:Engineering (General). Civil engineering (General)The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
researchProduct

Magnetoencephalography Responses to Unpredictable and Predictable Rare Somatosensory Stimuli in Healthy Adult Humans

2021

Mismatch brain responses to unpredicted rare stimuli are suggested to be a neural indicator of prediction error, but this has rarely been studied in the somatosensory modality. Here, we investigated how the brain responds to unpredictable and predictable rare events. Magnetoencephalography responses were measured in adults frequently presented with somatosensory stimuli (FRE) that were occasionally replaced by two consecutively presented rare stimuli [unpredictable rare stimulus (UR) and predictable rare stimulus (PR); p = 0.1 for each]. The FRE and PR were electrical stimulations administered to either the little finger or the forefinger in a counterbalanced manner between the two conditio…

magnetoencephalographymedicine.medical_specialtyFuture studies515 PsychologyMean squared prediction errorStimulationAudiologyBiologyStimulus (physiology)Somatosensory systemtuntoaistisomatosensorylcsh:RC321-571Behavioral NeurosciencepredictabilitymedicineLatency (engineering)lcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological PsychiatryOriginal Researchdeviance detectionMEGprediction errormedicine.diagnostic_testSecondary somatosensory cortexMagnetoencephalographyPsychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologyennustettavuusärsykkeetNeuroscienceFrontiers in Human Neuroscience
researchProduct

Data from: Adaptation in response to environmental unpredictability

2017

Understanding how organisms adaptively respond to environmental fluctuations is a fundamental question in evolutionary biology. The Mediterranean region typically exhibits levels of environmental unpredictability that vary greatly in habitats over small geographical scales. In cyclically parthenogenetic rotifers, clonal proliferation occurs along with occasional bouts of sex. These bouts contribute to the production of diapausing eggs, which allows survival between growing seasons. Here, we studied two diapause-related traits in rotifers using clones from nine Brachionus plicatilis natural populations that vary in the degree of environmental unpredictability. We tested the hypothesis that t…

medicine and health careBrachionus plicatilisLife SciencesMedicinecyclical parthenogensbet hedgingenvironmental unpredictability
researchProduct

A Multi-Variate Predictability Framework to Assess Invasive Cardiac Activity and Interactions during Atrial Fibrillation

2017

Objective: This study introduces a predictability framework based on the concept of Granger causality (GC), in order to analyze the activity and interactions between different intracardiac sites during atrial fibrillation (AF). Methods: GC-based interactions were studied using a three-electrode analysis scheme with multi-variate autoregressive models of the involved preprocessed intracardiac signals. The method was evaluated in different scenarios covering simulations of complex atrial activity as well as endocardial signals acquired from patients. Results: The results illustrate the ability of the method to determine atrial rhythm complexity and to track and map propagation during AF. Conc…

medicine.medical_specialtyComputer science0206 medical engineeringAtrial fibrillation (AF)Biomedical EngineeringCardiac activity02 engineering and technology030204 cardiovascular system & hematologyIntracardiac injectionmulti-variate autoregressive (MVAR) modeling03 medical and health sciences0302 clinical medicineHeart Conduction SystemInternal medicineAtrial Fibrillationmultielectrode cathetermedicineHumansComputer SimulationPredictabilityModels Statisticalbusiness.industryBody Surface Potential MappingModels CardiovascularPattern recognitionAtrial fibrillationmedicine.disease020601 biomedical engineeringRandom variateAutoregressive modelData Interpretation Statisticalbipolar electrograms (EGMs)Multivariate AnalysisSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaCardiologyGranger causality (GC)Artificial intelligencebusiness
researchProduct

Predicting sustained virological responses in chronic hepatitis C patients treated with peginterferon alfa-2a (40 KD)/ribavirin.

2005

Background/Aims: Prediction of sustained virological response (SVR) during treatment would allow clinicians to identify patients most likely to benefit from therapy. Methods: Retrospective analysis of data from 1121 adults with chronic hepatitis C treated for 48 weeks with peginterferon alfa-2a (40 KD) 180 mu g/week plus placebo or ribavirin (1000/1200 mg/day), or interferon alfa-2b 3 MIU three times/week plus ribavirin in a randomized, multinational, study. Results: 67% of patients treated with peginterferon alfa-2a (40 KD)/ribavirin with early virological responses (HCV RNA negative or >= 2 log(10) decrease) at week 12 had SVRs at week 72 (HCV RNA 80 % of the planned ribavirin dose. Concl…

medicine.medical_specialtyHepatitis B virusviral hepatitisAlpha interferonPeginterferon-alfaInterferon alpha-2medicine.disease_causeGastroenterologyAntiviral AgentsPolyethylene Glycolschemistry.chemical_compoundpredictabilityInternal medicineRibavirinmedicinechronic hepatitis CHumansProbabilityRetrospective StudiesHepatitis B viruspeginterferon alfa-2a (40 KD)treatmentHepatologyDose-Response Relationship Drugbusiness.industryRibavirinvirus diseasesInterferon-alphaHepatitis CHepatitis C ChronicViral Loadmedicine.diseasedigestive system diseasesRecombinant ProteinsTreatment OutcomechemistryImmunologyRNA ViralDrug Therapy Combinationsustained virological responseViral hepatitisbusinessViral loadPeginterferon alfa-2amedicine.drugJournal of hepatology
researchProduct

Wiener-Granger Causality in Network Physiology with Applications to Cardiovascular Control and Neuroscience

2016

Since the operative definition given by C. W. J. Granger of an idea expressed by N. Wiener, the Wiener–Granger causality (WGC) has been one of the most relevant concepts exploited by modern time series analysis. Indeed, in networks formed by multiple components, working according to the notion of segregation and interacting with each other according to the principle of integration, inferring causality has opened a window on the effective connectivity of the network and has linked experimental evidences to functions and mechanisms. This tutorial reviews predictability improvement, information-based and frequency domain methods for inferring WGC among physiological processes from multivariate…

nonlinear dynamicComputer scienceReliability (computer networking)Biomedical signal processingPhysiologyCardiovascular controldynamical systemdirectionalityGranger causalitymultivariate regression modelingtime series analysiPredictabilityTime seriesElectrical and Electronic EngineeringStatistical hypothesis testingbusiness.industryheart rate variabilitytransfer entropypartial directed coherencepredictioncoupling strengthCausalityconditional mutual informationFrequency domainspectral decompositionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaArtificial intelligencebusinesscomplexityNeuroscience
researchProduct

To increase predictability in complex engineering and fabrication projects : construct of a framework for planning and production control in FMC tech…

2014

Masteroppgave i industriell økonomi og teknologiledelse IND 590 projects : construct of a framework for planning and production control in FMC technologies How to increase predictability in complex engineering and fabrication projects is what it is allabout. The case studied, FMC Technologies, is located in Norway, but is part of a globalcompany. FMC has grown quickly, and solving issues with tacit knowledge and personalexperience, as was done earlier, is challenging. The unit of analysis within the organization isthe department of Well Access Systems (WAS). WAS is concerned with connecting subseawells to surface rigs or vessels. A typical project consists of complex subsea equipment forwor…

predictability ; engineering ;VDP::Technology: 500
researchProduct