Sentence examples for improve means for from inspiring English sources

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All 3 systems work from the premise that practicing veterinarians hold key animal health information, which could improve means for early detection of emerging disease if aggregated efficiently through advanced information technology.

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Our results provide improved means for permeability estimation for application in basin flow modeling, hydrocarbon migration modeling, and well completion design.

Improved means for early detection and reliable patient monitoring are needed to increase survival.

Based on the results in figure 4, we argue that the strategy behind popLowess offers improved means for normalizing aCGH data.

The findings warrant further attention to these infections in horses particularly with regard to improved means for detection of active infections, which may contribute to a better general understanding of these diseases and their impact on horse behavior and welfare.

Although these models could offer improved means for many network pharmacology applications, such as repositioning of drugs for new therapeutic uses, the prediction models are often being constructed and evaluated under overly simplified settings that do not reflect the real-life problem in practical applications.

We have also discussed challenges and possible future directions for improving mean-force scoring functions.

A statistically significant linear trend for sequentially improved mean score corresponding to the level of training was observed (p < 0.0001).

One the other hand, the efficient gene delivery system can improve the means for delivering genes during gene therapy and thus can contribute toward more successful clinical outcomes [ 24].

Other opportunities include improving communication means, for example, using cellphone to better disseminate climate information and warnings in remote areas where such devices are frequently used (Glantz and Baudoin 2014).

It is therefore highly desirable to improve or develop means for reasonably approximating predictions of interactions.

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