Sentence examples for address samples from inspiring English sources

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It is therefore predictable and conclusive that the average length will not increase with address samples ranging from 102, 105, 108, 1020 to the largest set of current IPv6 addresses, 2^128, i.e. 3.4 × 1038.

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Meanwhile, NASA has requested a new Space Studies Board study to address sample returns from bodies other than Mars.

While this function by convention produces 95%% credible intervals, one should only focus on the relative risk estimates and the weighted (pooled) average relative risk, since confidence intervals address sampling error and therefore are not valid under the above adjustments.

First, the GSEM's Heckman probit correction (−heckprobit-) (StataCorps, 2013) was used to address sample selection bias due to attrition at follow-up waves (3-, 9-, and 15-months).

The method builds upon the standard comparison of herbarium samples with genebank accessions via gap analysis [17], yet aims to address sampling biases by modeling species distributions with a robust algorithm, and refining these distributions using two different criteria.

The recent advances in microfluidics may be able to address sample throughput and automation challenges in SNP assays.

For each dog, the following data were collected: place of origin (owner's postal address), sampling month, age, breed, gender and degree of sample haemolysis.

With microarrays, on the other hand, the large number of measured genes in microarrays gives a much broader base from which to address sample variation and normalization issues.

In order to address sampling adequacy, a minimum total of 12 participants in both user and non-user groups was targeted.

To address sampling limitations a larger study is required involving greater numbers of students and schools (without prior relationships with Teenage Cancer Trust).

These include how best to address sampling variability in the patterns, comparing the performance of different rules based on the proportion of bootstrap samples which fall outside the meaningful threshold.

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