Sentence examples for combine optimally from inspiring English sources

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ASD diagnosis (cases were identified previously by record linkage or maternal report) and 4 measures that combine optimally within ALSPAC to predict ASD: the Children's Communication Checklist (coherence subscale), the Social and Communication Disorders Checklist, a repetitive behaviour measure, and the Emotionality, Activity and Sociability scale (sociability subscale).

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It combines optimally selected two modalities from susceptibility-weighted, T2-weighted, and diffusion MRI, and introduces a tailored new edge indicator function.

Subset regression was used to identify which individual measures combined optimally in predicting ASD (see Table S7).

In [1], by using the linear minimum-mean-square-error (LMMSE) combiner to optimally combine frequency offset estimators based on single time slot pilot samples from a received time-domain OFDM block, they successfully circumvent the multiple solution difficulty and meanwhile achieve very satisfactory joint estimation performance with wide tracking range (up to half the subcarrier spacing).

MEDLINE was searched from 1966 to May 2006 combining an optimally sensitive Cochrane Collaboration search strategy with the MeSH headings 'prostatic hyperplasia', 'LUTS', and 'doxazosin', 'alpha-blockers', 'Adrenergic Alpha-Antagonists', 'alpha 1-adrenoceptor' or 'alpha-1 blocker' including all subheadings (Dickersin et al 1994).

We developed a new way of interpreting optical flow that can optimally combine many measurements to achieve high positioning accuracy.

The Expectation Maximisation (EM) algorithm is employed to optimally combine the modules within the KBM network.

Though generally expected, the higher performance on single-domain proteins further emphasizes the need for developing methods that can optimally combine sequence information from multiple domains along with other information to produce a relatively small set of predicted terms.

Building on our earlier Bayesian framework for analyzing GRB and other survey data, we have developed a "data fusion" methodology that can optimally combine survey data from various sources.

Lastly, we show how to implement quasi-experimental shift-share designs with new shock-level regressions, which help visualize identifying shock variation, correct standard errors, choose appropriate specifications, test identifying assumptions, and optimally combine multiple sets of quasi-random shocks.

However, the pattern of activation observed suggests that further studies are indicated to understand how to optimally combine the two techniques.

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