Sentence examples for samples for improving from inspiring English sources

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This further supported the use of bootstrap samples for improving selection accuracy for data with low frequency categorical variables.

The reduced probability of misinterpreted or false kinase dependencies and applicability of the kinase addition ranker tool to patient samples for improving drug therapies highlight the power of bioinformatics in translational research.

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The survey was conducted as a part of the iPap trial, a randomized controlled trial of home-based HPV self-sampling for improving participation in cervical screening by apparently never- and under-screened women [ 15].

Furthermore, the control input learning law is extended to a higher-order form by incorporating more control information of previous sampling instants for improving the control performance.

Due to change of network oscillation modes under different contingencies, the proposed predictors adjust the data sampling time for improving the performance.

The stochastic finite element problem is solved using the Monte Carlo Simulation method, combined with the Latin Hypercube Sampling technique for improving its computational efficiency.

ICA was then applied to the three most significant PCA components, determined by kept variance, to extract the independent maps of each sample, for improved discrimination.

Accounting for these species and topographic differences, when sampling, is imperative for improving our understanding of how plant communities in the Arctic will respond to ongoing and expected warming.

Quantified uncertainties are useful for assessing the adequacy of existing sampling programs and for improving models that link hypoxic extent to environmental causes and effects.

Respondent-driven sampling (RDS) is a chain-referral sampling method, which has important advantages for improving representative sampling in populations without a sampling frame.

Molecular methods have advantages over conventional methods for the detection and characterization of pathogens in clinical samples, and hold promise for improving diagnostic sensitivity [ 4].

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