Sentence examples for may yield very from inspiring English sources

Gully erosion of loess may yield very high sediment concentrations (>60% by weight).

MARL tasks modeled as MMDPs may yield very large problem sizes as the state-action space grows very quickly with the number of the agents, their states, and actions available to them.

The various algorithms typically used to quantify the complexity (entropy) of CoP may yield very different results, particularly when sampling frequency and noise are different.

However, statistical evidences of positive selection should be considered with caution, because different methods may yield very different results.

These may yield very different prevalence estimates compared to newer international questionnaires that examine a wider range of domains for expending energy, including work, travel, recreation and domestic settings.

The variability in results stresses that there are a variety of methods currently available for covariate adjustment, and that by simply selecting one such method, without prior research and planning may yield very different and potentially inaccurate results.

Although many surgical methods such as the skin grafts or flaps has been described for the closure of large defects, proper primary suturing may sometimes yield very successful results and decrease the need of complicated procedures.

However such a study which is not cost-efficient, would require the recruitment of very large number of patients which may eventually yield very few stroke patients resulting in poorly generalizable results as in the Framingham study (where only 10 stroke patients were recruited eventually) [ 16].

Several specific examples are illustrated to show how an ingenuous application of dimensional analysis and scaling may yield some very significant insight on the solution of the problem considered.

Well, it turns out that they may yield a very important glimpse into the way wars will be fought in much of the world for decades to come.

This representation requires first, to define and extract terms from the text (which may yield a very large set of terms), and second, to reduce the term space and select a representative subset, T, of terms that optimize classification performance.