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In order to improve estimation of the risk of severe hyperkalemia, several formulas were generated based on an arbitrarily set cutoff potassium level >6.0 mmol/l and different serum parameters.
The above simulation results were based on an arbitrarily sized population of neurons (n = 1000).
In most of the studies, patients were categorized as hyperoxic or nonhyperoxic based on an arbitrarily predetermined PaO2 cutoff value.
The definition of mutated or unmutated CLL is based on an arbitrarily defined threshold of 98%% homology to the most similar germline gene.
Based on an arbitrarily chosen W of 0.10, we determined the optimal journal subset which included the minimal number of high-quality studies that could be used to develop search strategies.
Indeed, variation of anxiety symptomatology within populations can be better captured using a spectrum approach according to which anxiety is viewed as a continuum of severity encompassing normal as well as pathological behaviour, rather than a disorder based on an arbitrarily derived threshold [ 4, 5].
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The study of the whole spectrum of fiber numbers gives us a better view than the study based on one, arbitrarily chosen number.
In each panel of Fig. 8, the subpanel at the top represents parameter estimates based on one arbitrarily chosen block-simulation run, and subpanels in the middle and at the bottom represent the mean and standard deviation of the parameter estimates based on 1000 block-simulation runs, respectively.
The present method uses moving least-squares (MLS) interpolation to construct shape functions based on a set of nodes arbitrarily distributed in the analysis domain.
We used the adaptive kernel method [ 90], which is based on a varying bandwidth instead of an arbitrarily fixed one.
To somewhat mollify the empirical approach to working length determination that was either arbitrarily based on a guesstimate of the apical constriction or on a two-dimensional radiograph, the use of electronic apex locators (EALs) has been favored by most academicians and clinicians (Mohammed et al. 2015).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com