Sentence examples for to address the knowledge from inspiring English sources

Exact(31)

To address the knowledge gap, we examined use of CRT for grade III gliomas compared to radiotherapy (RT) alone.

This paper makes a crucial contribution to address the knowledge sharing challenge by providing a knowledge based systems approach to facilitate structuring, storing and reusing DM knowledge.

The aim of this study was to address the knowledge gap using the APEX-AMI (Assessment of Pexelizumab in Acute Myocardial Infarction) trial database.

The study aimed to address the "knowledge gap" between disadvantaged and affluent children by building up their background knowledge and understanding, a cause espoused by the US academic ED Hirsch.

To address the knowledge gaps and get up to speed on new initiatives within the firm, directors suggest organizing site visits and tours, participating in innovation sessions and workshops within the firm, and "doing their homework" on industry trends.

To address the knowledge gap, landowners in Texas with perpetual conservation easements participated in a mail survey and resulting data were compared with prior research on the property rights perspectives of a group of noneasement-owning rural landowners.

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Similar(29)

Combining a somewhat patchwork collection of evidence (from studies in the published and gray literature) with the tacit knowledge of experts [ 10], and translating this knowledge into a practical tool for decision makers, is not unique to CHW performance, but is rather a recurrent challenge in on-going efforts to address the knowledge-practice gap in global public health [ 11– 13].

Large scale random mutagenesis has been utilised to successfully address the knowledge gap between sequence and function in a number of plant species [ 4- 6] and has been widely applied in A. thaliana [ 7].

She hopes to address the significant knowledge gaps and unmet needs regarding diagnostic, treatment and preventive options available to this demographic group.

In order to address the collective knowledge built up in conventional liquefaction engineering, an alternative general regression neural network model is proposed in this paper.

To address the above knowledge gaps, we utilized SIP microcosm-based experiments to investigate the composition and degradative potential of hemicellulose, cellulose and lignin-degrading populations from organic and mineral layer soils in coniferous forests across North America.

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