Sentence examples for pattern of recommendations from inspiring English sources

The pattern of recommendations was made to avoid the greater perceived risk.

Table  4 shows the pattern of recommendations of different opioids and the respective galenic preparation.

It aimed at recording information on the frequency and pattern of recommendation of CAM to patients as well as GPs' personal activity as CAM practitioners.

This pattern of recommendation for increasing treatment intensity with a higher probability of metastasis at 5 years was observed in both community and academic settings (Table S2).

Our objective was to explore GPs' knowledge of CAM and patterns of recommendation and practice, as well as the relationship between such patterns and GPs' life-styles.

Informal referrals, particularly word of mouth recommendations, were much more commonly used, but patterns of recommendation to or from pharmacy nurses varied substantially, and tended to reflect relationships based on personal knowledge of individuals.

This paper reports the results of a large population-based survey carried out in Tuscany with the aim of exploring GPs' knowledge of CAM and patterns of recommendation and practice, as well as the relationship between these patterns and the personal and professional characteristics of the physicians.

But Mr. Weaver, who owns a small dried-flower company, began looking into other Forest Service accidents, and he said he found similar lapses, and a pattern of ignoring recommendations after those deaths.

The questions posed led the discussion to cover a number of areas of interest, namely factors affecting their recommendation of CMs, family and personal use of CMs, information sources for CMs, patterns of CM recommendation, knowledge of CMs, and pharmacy protocols for the recommendation of CMs.

It is also worth noting that there is not reported work where context was used as part of the recommendation mechanisms for the computation of recommendations for Design Patterns.

In 2008, a pair of researchers at the University of Texas showed that the customer data released for that first contest, despite being stripped of names and other direct identifying information, could often be "de-anonymized" by statistically analyzing an individual's distinctive pattern of movie ratings and recommendations.