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This study evaluates the agreement between emergency physician (EP) assessment of diastolic dysfunction (DD) by a simplified approach using average peak mitral excursion velocity (eʹA) and an independent cardiologist's diagnosis of DD by estimating left atrial (LA) pressure using American Society of Echocardiography (ASE) guidelines.
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This approach uses average cardinality.
One approach uses average value estimates.
Both of these CSD-based approaches use average CSD.
Hojjatoleslami and Kittler introduced a new approach to SRG using average contrast and peripheral contrast to control the growing process and to make it predictable [ 11].
To separate these two effects, we employ an Instrumental Variable (IV) approach, using the average waiting time by state-year-stage to instrument for the actual waiting time, to identify the effect of an exogenous increase in the waiting time on the use of each coping strategy4.
Multiaxial fatigue analysis can be categorized into several viewpoints, i.e. empirical formulae, methods based on stress invariants, critical plane approaches, models using averages of stress quantities and energetic considerations.
It is built by a periodic homogenisation approach using the averaging method and it couples concrete damage and periodic debonding between steel rebar and surrounding concrete.
This model is built by the periodic homogenisation approach using the averaging method and couples damage of concrete and periodic debonding between concrete and steel rebar.
The Spalart-Allmaras formulation of the IDDES model is used to compute the continuous phase and the dispersed phase is computed using Lagrangian particle tracking, both concurrently with the flow-field, and also as a post-processing approach using time averaged statistical information of turbulence in a stochastic dispersion model.
Furthermore, to remove concerns about outlier cells affecting the reproducibility of the classifier when making random selections, we have taken a pragmatic approach using population averages from the high and low control wells as positive and negative controls, respectively, to train the classifier.
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