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To further evaluate the biological meaning of our adjusting model, we created 21 rice microarray samples (Data Set 3,15 rice stamen samples, 3 leaf samples and 3 bud samples) using the Affymetrix two-cycle RNA labeling.
Data Set 3 was applied to validate the efficiency of our adjusting model.
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We have raised both our adjusted operating income and adjusted earnings per share forecast for 2017 by 14% each.
We paid 37.5 percent federal, state, local taxes on our adjusted gross income.
Moreover, these withdrawals don't count as part of our adjusted gross incomes (AGI).
Our adjusted response rate was 36.1%.
Since our adjusted results accounted for comorbidity burden, there may be other explanations for our findings.
Consequently, our adjusted models considered more confounding factors than Tabuchi's.
Whether our adjusted models adequately accounted for this confounding is uncertain.
Our adjusted model controlled for demographics and water system characteristics and stratified by CWS size.
Our adjusted models therefore included age, gender, race and aspirin use as covariates.
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