Sentence examples for individual thresholds from inspiring English sources

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The Bayesian solution: an "athlete biological passport" that calculates individual thresholds of suspicion based on repeated tests—ideally four to six per season of the same athlete.

The Bayesian solution: an "athlete biological passport" that calculates individual thresholds of suspicion based on repeated tests — ideally four to six per season — of the same athlete.

Different pathologists apply different histologic criteria, often with different individual thresholds for atypical endometrial hyperplasia and grade 1 adenocarcinoma.

First, the individual thresholds for pinprick pain were identified, starting at 2 J and increasing with 0.5 J steps [49].

Ventricle and lesion masks were used in non-linear image registration, and individual thresholds were used for extent-based LI calculations.

We also determined diatom assemblage thresholds to PW conductivity and TP, and identified significant indicator taxa with either negative (declining) or positive (increasing) relationships to each driver and their individual thresholds.

Whether a norm is followed at a given time depends on the actual proportion of followers, on the expectations of conditional followers about such proportion, and on the combination of individual thresholds.

The objectives of this study were to define nausea threshold in apparently healthy adult volunteers who received graded concentrations of copper and to explore how individual thresholds were modified by delivering copper in an orange-flavored drink.

All three boards are connected through an FPGA board that is programmed to calibrate the individual thresholds of the ToT circuits to allow digital multiplexing to form an integrated PET module with a measured timing resolution of 4.2 ns.

Again, a smaller, but still significant, reduction in bias and variance, and number of hotspots with a percentage change above the individual thresholds, is observed when non-optimal filters are used.

As the obtained individual thresholds associated with each training instance depend on the Euclidean distance between compounds, which in turn depends on the descriptors used, we propose pairing this AD technique with a prior feature selection routine.

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