Sentence examples for for use in decision making from inspiring English sources

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The objective of surveillance is to provide information on a regular basis for use in decision making.

Without sufficient staff to lead, implement, and supervise an M&E system, data will not be available for use in decision making.

Another important strength is the high methodological quality of the included reviews, indicating good reliability of the results which therefore may be appropriate for use in decision making [ 11].

As the GRADE framework developers have emphasised, although quality assessment is fundamentally subjective, 29 developing a transparent, consistent approach to assessment of quality is important, especially in the regulatory and clinical arena as patients, healthcare professionals and sponsors benefit from consistent and transparent assessment of available evidence for use in decision making.

Our role is to make meteorological measurements, and to curate, analyse and communicate the data for use in decision making and to support public understanding.

Decision scaling, the tailoring of climate information for use in decision making, is an innovative aspect of this process.

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Despite rapid advances in development of the ecosystem services (ES) concept, challenges remain for its use in decision making.

Such variation reinforces the need to accurately collect rainfall data (and other weather elements) for community use in decision making instead of relying on perceptions.

Dear Hans Toni, thanks for the stimulating role you played by transferring your skills and inspiring enthusiasm to the younger generation, and by facilitating the translation of scientific knowledge for its use in decision making.

Our results demonstrate that these indicators are suitable for use in decision-making processes in the field of urban planning and for performing coherent comparisons of actions between urban areas, cities, countries or regions.

Unlike most conventional methods, Douban-Learning facilitates massive data analysis; Douban-Learning allows experts to apply multiple metrics to describe or explain features which can potentially yield results from multiple perspectives; Douban-Learning produces analytical results using association results, findings that are easily interpretable and clearly expressed for use in decision-making.

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