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Current voltage (I V) measurements were taken prior to DLTS measurements to select the Schottky diodes with low leakage currents.
The purpose of this study was to measure and compare the relaxation times of musculoskeletal tissues at 3.0 T and 7.0 T, and to use these measurements to select appropriate parameters for musculoskeletal protocols at 7.0 T.
However, recent advances in Bayesian experimental design together with increased computing power allow to optimize the measurement strategy 'on-the-fly', taking into account the results of previous measurements to select the best energy for the next measurement and to compute the expected information gain from further measurements.
Our results show that it is feasible and necessary to use prior knowledge on gene expression measurements to select an adequate normalization method for the given data.
To this end, we used nCounter measurements to select genes with low variance across all samples disregarding diagnosis (normalized variance < 0.1, Figure 1B right panel) and strictly filtered for genes not saturated on the microarray.
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A simple protocol is proposed to determine the resonant frequency using the current measurement and to select the optimal frequency for application in SECM.
We applied our proposed measurement design method to select k measurements, and compared it against the random selection technique.
The Tweed FMA [11] and Y-Axis measurements were used to select the facial type.
In each case the twelve runoff measurements were used to select 100 best parameter sets using a Monte Carlo calibration approach.
Our study suggests that the estimated prevalence of HF in nursing homes in Sweden would increase if BNP measurements were used to select patients for further examinations.
Our study suggests that the estimated prevalence of HF in nursing homes in Sweden would be higher if BNP measurements were used to select patients for further investigation.
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