The phrase 'for high knowledge' is grammatically correct.
You can use it to mean knowledge acquired through hard work, dedication, and/or education. For example, "He studied diligently for years, striving for high knowledge in his field."
Invest Northern Ireland has predominantly targeted cost center opportunities for high knowledge service sectors - mainly offshore service centers for U.S. or Great Britain-based parent operations - so for our foreign investors market access is generally not an issue.
Overall knowledge was coded as 0 for moderate knowledge and 1 for high knowledge.
There were also major differences in the predictor variables for high knowledge in both infections (see Table 3 and 4).
Other possible predictors for high knowledge and certainty will also be of interest to explore, since the background characteristics recorded explain a limited part of the variation in the results.
Just to take the second example from above, Joyce is not only able to tell us something about the dynamic interaction between Bloom's thirst for "higher" knowledge and his bourgeois background, but, more intimately, he is able to embody Bloom's capacity for empathy – Bloom can harmonise high and low, just as he can align the literal and the figurative.
The final significant predictor for higher knowledge score was being a contact (p = 0.007).
The significant predictor for higher knowledge score was being a contact (p = 0.007).
The significant predictors for higher knowledge scores were contacts and healthcare workers, older age group, higher education levels, and private housing compared to 3 room flats.
One reason for these high knowledge levels among non-users is because many of us have known someone we believe has a serious problem with drugs; 38% of Britons do so, up from 32% in 2008.
For this purpose, "high knowledge" was defined as having responded correctly to at least four of the five knowledge questions; responses of "don't know" were grouped with incorrect responses.
NONMEM, like other specialized software for non-linear mixed effects modeling, has i) a high knowledge threshold for use, ii) specific demands for data input, and iii) requires licensing of a program.
