Sentence examples for neutralize differences from inspiring English sources

Just as music critics have complained of hip-hop's becoming a corporatized global commodity, Mr. Wiley can be accused of using it to neutralize differences and difficulties like those cited by Mr. Mashasha in the catalog.

The average hospitalization reduction per year (normalized by HF hospitalization cost to neutralize differences between countries) is close to 12%% in our model as compared with 10%% for the Adaptive CRT device (Medtronic, Minneapolis, MN, USA).

In the two more recent controlled studies on AKI after intravenous CM administration, sophisticated statistical methods of propensity score adjustment were used to neutralize differences in AKI risk factors between the contrast-enhanced and the noncontrast CT group and thus counteract the effects of selection bias.

When executives try to neutralize these differences by creating the false appearance of egalitarian polices that "treat everyone the same," they provoke the very anxieties they sought to allay because people instinctively know that everyone is not the same.

The combination of 300 °C platform heating and peak-hardening is a valuable approach to increase the fatigue resistance and neutralize the differences in fatigue life for the 0°, 45°, and 90° directions.

Normalization using the total number of searches allows us to neutralize geographical differences in terms of web access across Italian regions.

It also neutralizes the differences in the maximal values of the deposition rate in both electrolytes and promotes the current yield increase.

The Air Force then sought to neutralize the difference by resending each firm the other's data and inviting them to examine it, Colonel Kodlick said.

The experimental design was aimed at neutralizing other differences in psychological attitudes, such as self-confidence and risk aversion, that are typically considered as potential explanations of gender differences in competitive environments.

The use of regression adjustment neutralizes chance differences in characteristics between the program and control groups and also increases the power of the statistical tests for effects.

Well planned use of e-learning and supportive measures should help to neutralize this difference.