Sentence examples for important for fitting from inspiring English sources

Exact(1)

Figure 8B,C,D zooms into the simulated TAC regions that are most important for fitting K 1 and k 2. We simulated TACs with typical rate constants from the experiments (dark lines) and then increased K 1 by 10% (1.1 × K 1) and increased k 2 at the same time to match the newly generated TAC to the original TAC as close as possible.

Similar(59)

The result that the dominant specie of Ste50 was a monomer, as shown by 2dPCH, provided an important constraint for fitting the 1dPCH data to a distribution.

Regular sleep patterns and healthy eating are important for feeling fit all day.

The 14 questions were grouped into four categories: General factors and practices (two questions) We asked panelists to list up to five audiologic and nonaudiologic factors that they consider important when fitting hearing aids for patient with mild hearing loss and to identify differences in practice when fitting hearing aid(s) to a patients who have bothersome tinnitus as a main complaint.

In conclusion, our results confirm that filtering is very important for Bcd curve fitting and the SSA technique yields a promising result for Bcd analysis.

As well, our proposed criteria are consistent with variables identified by the SAMHSA's National Registry of Effective and Promising Practices (NREPP) [ 41], as important for evaluating fit and those identified as important in understanding the acceptance and use of new practices by policy makers and service providers [ 42].

A second line of argument which is important for the fit between an ethical theory and the issue at stake is the more pragmatic consideration of an alignment between the ethical-theoretical background and the stakeholders' actual moral deliberation and behavior, which form part of the moral phenomenon observed.

RMSE% is a good measure of how accurately the model predicts the response and is the most important criterion for fit if the main purpose of the model is prediction [57].

RMSECV % is a good measure of how accurately the model predicts the response and is the most important criterion for fit if the main purpose of the model is prediction [72].

RMSE% is a good measure of how accurately the model predicts the response and is the most important criterion for fit if the main purpose of the model is prediction [ 57].

RMSECV % is a good measure of how accurately the model predicts the response and is the most important criterion for fit if the main purpose of the model is prediction [ 72].

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