Search results for "interval"

showing 10 items of 1703 documents

Effect of Context on the Perception of Pitch Structures

2006

Pitch intervalComputer scienceContext effectPerceptionmedia_common.quotation_subjectPitch perceptionMusical noteContext (language use)Implicit learningmedia_commonCognitive psychology
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Total Variation Based Image Restoration

2004

For the purpose of image restoration the process of image formation can be modeled in a first approximation by the formula [207] $$ {u_d} = Q\{ II(k*u) + n\} , $$ (1.1) where u represents the photonic flux k is the point spread function of the optical-captor joint apparatus П is a sampling operator, i.e., a Dirac comb supported by the centers of the matrix of digital sensors, n represents a random perturbation due to photonic or electronic noise, and Qis a uniform quantization operator mapping ℝ to a discrete interval of values, typically [0, 255].

Point spread functionImage formationPhysicsDiscrete mathematicssymbols.namesakeMatrix (mathematics)Sampling (signal processing)Operator (physics)symbolsInterval (mathematics)Dirac combImage restoration
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Absolutely continuous functions in Rn

2005

Abstract For each 0 α 1 we consider a natural n-dimensional extension of the classical notion of absolute continuous function. We compare it with the Malý's and Hencl's definitions. It follows that each α-absolute continuous function is continuous, weak differentiable with gradient in L n , differentiable almost everywhere and satisfies the formula on change of variables.

Polish groupPure mathematicsChange of variablesα-regular intervalsContinuous functionApplied MathematicsMathematical analysisNull set or empty setQuasi-continuous functionAbsolute continuityWeak derivativeAbsolutely continuous functionsSobolev spaceHaar nullSobolev spacesAlmost everywhereDifferentiable functionAnalysisMathematicsJournal of Mathematical Analysis and Applications
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Statistical Analysis of a Method to Predict Drug–Polymer Miscibility

2015

In this study, a method proposed to predict drug-polymer miscibility from differential scanning calorimetry measurements was subjected to statistical analysis. The method is relatively fast and inexpensive and has gained popularity as a result of the increasing interest in the formulation of drugs as amorphous solid dispersions. However, it does not include a standard statistical assessment of the experimental uncertainty by means of a confidence interval. In addition, it applies a routine mathematical operation known as "transformation to linearity," which previously has been shown to be subject to a substantial bias. The statistical analysis performed in this present study revealed that t…

PolymersChemistry PharmaceuticalPharmaceutical Science02 engineering and technology030226 pharmacology & pharmacyMiscibility03 medical and health sciences0302 clinical medicineMinimum-variance unbiased estimatorPredictive Value of TestsStatisticsStatistical inferenceApplied mathematicsMathematicsCalorimetry Differential ScanningFelodipineTemperatureLinear modelEstimatorModels Theoretical021001 nanoscience & nanotechnologyConfidence intervalTransformation (function)Experimental uncertainty analysisPharmaceutical PreparationsSolubilityLinear ModelsThermodynamics0210 nano-technologyAlgorithmsJournal of Pharmaceutical Sciences
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Concordance of Radiological, Laparoscopic and Laparotomic Scoring to Predict Complete Cytoreduction in Women with Advanced Ovarian Cancer

2023

Objective: To identify the best method among the radiologic, laparoscopic and laparotomic scoring assessment to predict the outcomes of cytoreductive surgery in patients with advanced ovarian cancer (AOC). Methods: Patients with AOC who underwent pre-operative computed tomography (CT) scan, laparoscopic evaluation, and cytoreductive surgery between August 2016 and February 2021 were retrospectively reviewed. Predictive Index (PI) score and Peritoneal Cancer Index (PCI) scores were used to estimate the tumor load and predict the residual disease in the primary debulking surgery (PDS) and interval debulking surgery (IDS) after neoadjuvant chemotherapy (NACT) groups. Concordance percentages we…

Predictive index scoreCancer ResearchOncologyOvarian cancerPrediction modelCytoreductive surgeryPrimary debulking surgery.Interval debulking surgeryNeoadjuvant chemotherapyPeritoneal cancer index scoreSettore MED/40 - Ginecologia E Ostetriciaovarian cancer; cytoreductive surgery; prediction model; predictive index score; peritoneal cancer index score; primary debulking surgery; interval debulking surgery; neoadjuvant chemotherapyCancers
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The Development of the Brief Eating Disorder in Athletes Questionnaire

2014

MARTINSEN, M., I. HOLME, A. M. PENSGAARD, M. K. TORSTVEIT, and J. SUNDGOT-BORGEN. The Development of the Brief Eating Disorder in Athletes Questionnaire. Med. Sci. Sports Exerc., Vol. 46, No. 8, pp. 1666–1675, 2014. Purpose: The objective of this study is to design and validate a brief questionnaire able to discriminate between female elite athletes with and without an eating disorder (ED). Methods: In phase I, 221 (89.5%) adolescent athletes participated in a screening including the Eating Disorder Inventory-2 (EDI2) and questions related to ED. All athletes reporting symptoms associated with ED (n = 96, 94.1%) and a random sample without symptoms (n = 88, 86.3%) attended the ED Examinatio…

Predictive validitymedicine.medical_specialtyAdolescentPsychometricsbiologyReceiver operating characteristicPsychometricsbusiness.industryAthletesAdolescent athletesPhysical Therapy Sports Therapy and RehabilitationLogistic regressionbiology.organism_classificationSelf ConceptConfidence intervalFeeding and Eating DisordersSurveys and QuestionnairesPhysical therapyHumansMedicineFemaleOrthopedics and Sports Medicinemedicine.symptombusinessDietingMedicine & Science in Sports & Exercise
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Two-step principal component analysis (PCA) as a method for separating auditory N1 and N250 elicited from 9-year-old children using a dense electrode…

2008

Principal component analysis (PCA)childrenCurrent source density (CSD)N1Inter-stimulus-interval (ISI)Event-related potential (ERP)N250
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QT interval heterogeneities induced through local epicardial warming/cooling. An experimental study

2014

[EN] ntroduction and objectives Abnormal QT interval durations and dispersions have been associated with increased risk of ventricular arrhythmias. The present study examines the possible arrhythmogenic effect of inducing QT interval variations through local epicardial cooling and warming. Methods In 10 isolated rabbit hearts, the temperatures of epicardial regions of the left ventricle were modified in a stepwise manner (from 22 °C to 42 °C) with simultaneous electrogram recording in these regions and in others of the same ventricle. QT and activation-recovery intervals were determined during sinus rhythm, whereas conduction velocity and ventricular arrhythmia induction were determined dur…

Programmed stimulationmedicine.medical_specialtyHot TemperatureArritmiaQT intervalNerve conduction velocityElectrofisiologíaTECNOLOGIA ELECTRONICAElectrocardiographyEstimulación eléctricaHeart Conduction SystemHeart RateInternal medicinemedicineAnimalsVentricular FunctionSinus rhythmVentrículo izquierdobusiness.industryArrhythmias CardiacGeneral MedicineHypothermiaLeft ventricleElectric StimulationCold TemperatureElectrophysiologyElectrophysiologyIncreased riskmedicine.anatomical_structureVentricleAnesthesiaElectrical stimulationCardiologyRabbitsmedicine.symptombusinessPericardiumArrhythmia
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P-Value, Confidence Intervals, and Statistical Inference: A New Dataset of Misinterpretation

2017

Statistical inference is essential for science since the twentieth century (Salsburg, 2001). Since it's introduction into science, the null hypothesis significance testing (NHST), in which the P-value serves as the index of “statistically significant,” is the most widely used statistical method in psychology (Sterling et al., 1995; Cumming et al., 2007), as well as other fields (Wasserstein and Lazar, 2016). However, surveys consistently showed that researchers in psychology may not able to interpret P-value and related statistical procedures correctly (Oakes, 1986; Haller and Krauss, 2002; Hoekstra et al., 2014; Badenes-Ribera et al., 2016). Even worse, these misinterpretations of P-value …

PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Intragroup ProcessesPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Social CognitionPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Personality and CreativityPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Theories of Personality050109 social psychologyconfidence intervals (CIs) ; misinterpretation ; P-Value ; statistical inference ; replication crisisSocial and Behavioral SciencesPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Moral BehaviorP-ValueStatisticsStatistical inferencePsychologyPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Testing and AssessmentPsyArXiv|Social and Behavioral Sciences|Social and Personality PsychologyPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Self-regulationGeneral PsychologyPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Motivational BehaviorPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Prejudice and DiscriminationPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Well-beingPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Social Influence05 social sciencesPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Affect and Emotion RegulationBayes factorPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Social Well-beingPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Intergroup ProcessesFOS: Psychologybepress|Social and Behavioral Sciences|Psychology|Social PsychologyPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Self and Social Identitybepress|Social and Behavioral Sciences|Psychology|Personality and Social ContextsPsychologyPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Attitudes and Persuasionconfidence intervals (CIs)statistical inferenceSocial PsychologyPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Politicslcsh:BF1-990replication crisisPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Individual DifferencesPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Nonverbal BehaviorPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|InterventionsPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Narrative ResearchPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|DiversityPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Genetic factors050105 experimental psychologymisinterpretationPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Interpersonal RelationshipsPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Personality and SituationsPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Personality ProcessesSignificance testingPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Impression Formation0501 psychology and cognitive sciencesp-valuePsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Violence and AggressionPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|DisabilityPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Achievement and StatusPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Prosocial BehaviorReplication crisisTask forcePsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Self-esteemConfidence intervalPsyArXiv|Social and Behavioral Scienceslcsh:PsychologyPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|SexualityPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Cultural DifferencesPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Trait Theorybepress|Social and Behavioral SciencesPsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Religion and SpiritualityNull hypothesis
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High-sensitivity troponin I for risk stratification in normotensive pulmonary embolism

2020

While numerous studies have confirmed the prognostic role of high-sensitivity troponin T (hsTnT) in pulmonary embolism (PE), high-sensitivity troponin I (hsTnI) is inappropriately studied. This study aimed to investigate the prognostic relevance of hsTnI in normotensive PE, establish the optimal cut-off value for risk stratification and to compare the prognostic performances of hsTnI and hsTnT. Based on data from 459 consecutive PE patients enrolled in a single-centre registry, receiver operating characteristic analysis was used to identify an optimal hsTnI cut-off value for prediction of in-hospital adverse outcomes (PE-related death, cardiopulmonary resuscitation or vasopressor treatment)…

Pulmonary and Respiratory Medicine7medicine.medical_specialtymedicine.medical_treatmentlcsh:Medicine030204 cardiovascular system & hematology03 medical and health sciences0302 clinical medicineInternal medicineTroponin Imedicine030212 general & internal medicineCardiopulmonary resuscitationPulmonary Vascular DiseaseTroponin Tbusiness.industrylcsh:ROdds ratioOriginal Articlesmedicine.diseaseConfidence intervalPulmonary embolismHigh sensitivity troponinRisk stratificationCardiologybusinessERJ Open Research
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