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Since the nature of these four dimensions are complex and multidimensional, multiple measures have been used for assessing each dimension of writing performance (Long, 2015).
The tortuosity of vessels is difficult to quantify (Fig. 3) and multiple measures have been described (e.g., simple, curvature) (42).
In the field of semantic similarity, multiple measures have been applied, especially in the identification of gene function similarity based on the Gene Ontology (31).
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Finally, multiple error measures have been used to evaluate the quality of the new calibrated model.
Multiple forecasting measures have been developed in literature, including least-square support vector machines (LS-SVM), neural network (NN), time-series based ARIMA model, etc.
Multiple numerical measures have been proposed to assess the degree of cultural similarity, although many of them suffer from practical scalability issues or focus on a narrow aspect of culture.
Studies that have included multiple visual measures have found that reduced contrast sensitivity and depth perception are the most important visual risk factors for falls [ 34].
In addition, multiple outcome measures have been assessed (e.g. cough, phlegm, wheeze, chest tightness, breathlessness/dyspnea, headache, sinusitis, etc)., either by self-reports or doctor diagnosis.
Multiple comorbidity measures have been developed for risk-adjustment in studies using administrative data, but it is unclear which measure is optimal for specific outcomes and if the measures are equally valid in different populations.
Multiple diversity measures have been studied intensively in the field of ecology, and many of the attempts that have been made so far to characterize diversity in immune repertoires have used these concepts and methods.
Multiple gun control measures have fizzled in the Senate without even making it to the House.
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CEO of Professional Science Editing for Scientists @ prosciediting.com