Sentence examples for support for optimizing from inspiring English sources

Performing queries on the bus arrival can be used to identify and analyze various kinds of non-on-time events that happened during the bus journey, which is helpful for detecting the factors of delaying events, and providing decision support for optimizing the bus schedules.

However, as a port of the Xbox 360 version, the lack of initial support for optimizing the graphics display for one's computer, either through larger screen resolutions or turning off certain game effects, was seen as a drawback, though it is expected that patches will be released to add these options.

In conclusion, our study indicates that the activation of CD4 T and NK cells is a key process underlying the therapeutic effect of lenalidomide in CLL, thus providing a rational support for optimizing and improving the efficacy of lenalidomide treatment in CLL patients.

To date, few studies refer to the effect on AKI by using computer-aided decision support for optimizing therapy with potentially nephrotoxic antibiotics.

Thus, we consider designing interaction features to increase germane cognitive load as one of the strategies to offer necessary cognitive support to learners for optimizing cognitive resources while translating among the representations.

In cardiac surgical patients, however, inotropic (i.e. epinephrine) support is often necessary for optimizing cardiac output postoperatively.

(Western Europe) Respondents' experiences with implementing their programs provided them with insights into those areas of high-level administrative support that are important for optimizing fidelity within and across programs.

The paper presents a methodology for drift support design for underground hard rock conditions typically found in current mining practice in the Canadian Shield and discusses the rationale for optimizing ground support systems installed near-face during drift development.

A reliable prediction of the extent of squeezing is essential so that a strategy can be established regarding stabilizing measures and for optimizing the support well in advance (during planning and design).

While this increasingly popular "Trade School 2.0" model differs from that of seed accelerators thanks to a greater focus on education and the individual (rather than the business), both have succeeded in developing support networks that provide framework for optimizing growth and improving potential outcomes for their "customers".

Discussions on an experimental methodology based on fuzzy logic techniques for optimizing the decision support from product development to target market are presented.