Sentence examples for industry p from inspiring English sources

The groundwork was laid decades previously, however, when Frederick Terman, Stanford professor, dean, and provost, encouraged strong ties between the university and industry (p. 14), ties that eventually led to the likes of Google and Hewlett-Packard.

Traditional theory misses the fact that that "bringing hypotheses to bear on facts is an activity that goes on, ultimately, not in the savant's head but in industry" (p. 196).

In a recent literature review, Borrego et al. (2013) noted that the engineering literature shows that "it is taken for granted in engineering education that team projects are valuable because they will prepare engineering students to work in industry" (p. 479).

I: inadequate; A: adequate; U: unclear; NP: not performed; G: government; Ind.: industry; P: private; nr: not reported aInclusion criteria only bBlinding of outcome assessors cSingle blinding dData analysts partly blinded eIntention to treat strategies to deal with missing data Twenty-five different measures of the course of disease were reported for a wide range of conditions (Table  3).

drive the government," in China "government intervention drives the media industries" (p. 27).

We restrict it to Public Administration (industry O), i.e., we consider Education and Health (industries P and Q) to belong to the private sector.

There was a significant difference between the mathematics being taught to the engineering technical students and the mathematics relevant to the engineering technical work in the industries (p value < 0.05).

Meta-regression revealed that much of the heterogeneity was explained by variation in URRs across industries (p = 0.002), although coke ovens, gasworks, and aluminum smelters exposed to coal tar volatiles at similar levels had similar mean URRs.

Furthermore, for the women, we also observe a significant association between prevalence of multisite MS lasting at least 30 days and the activity sector with a higher prevalence for the meat and manufacturing industries versus the service industries (p = 0.026, Table 3).

This test showed that there are significant differences in the disclosure means of sensitive and non-sensitive industries (p-value = 0.000).

Moreover, for marketed and non-marketed products, no significant associations for both declaration of industry sponsorship (p = 0.44) and conflict of interest (p = 0.28) were found.