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From the mathematical point of view, we are about to solve the following optimization problem to find the optimal threshold value.
destreak is designed to determine the optimal threshold value when max is not defined by the user.
We find an inverted u-shape of innovation offshoring on the effectiveness of organizational adaptability, implying an optimal threshold value of innovation offshoring.
The results show that our QD contract design may aid in coordinating the supply chain and compel the retailer to choose the system-wide optimal threshold value.
Flag streak events from chip 8 in destreak3.fits event data and output the flagged event data to filtered3.fits (which is not to be overwritten if it already exists). Allow destreak to determine the optimal threshold value for streak events on each node.
The optimal threshold value is defined as that row-count value at which the observed number of occurrences exceeds the rate predicted for streak events by a factor of num_sigma times the Poisson uncertainty in the predicted value: (observed - predicted) = num_sigma * sqrt(predicted).
This study aimed at identifying the optimal threshold value to detect cartilage lesions with Standardized delayed Gadolinium-Enhanced MRI of Cartilage (dGEMRIC) at 3 T and evaluate intra- and inter-observer repeatability.
Identify and remove streak events from chip 8 in destreak3.fits event data and output the cleaned event data to filtered3.fits (which will be overwritten if it already exists). Allow destreak to determine the optimal threshold value for streak events on each node.
The optimal threshold value of TFdi to predict SBT failure was 25.8%.
Therefore, there is limited evidence to support the optimal threshold value.
Next the optimal threshold value is selected to minimize the residual sum of squares.
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