Sentence examples for mutual functions from inspiring English sources

Fig. 2 Three-dimensional response surface plots showing the effects of experimental factors and their mutual functions on extraction of: a c Curdione; d f Furanodienone; g i Curcumol and j l Germacrone from Curcuma wenyujin.

The response surface plots indicated that the extraction yields mainly depended on the liquid solid ratio, ethanol concentration and ultrasonic time, whereas no significant impact was observed in the mutual functions of these vital parameters, in good agreement with the ANOVA results.

This suggests that it is very likely that these communities represent some mutual functions shared between AD and ID groups.

Rohrlack and Utkilen (2007) discussed the possibility of mutual function of cyanobacterial oligopeptides.

FGU represents the most common type of functional relationships - referred to as "complementary epistasis" in many examples of classical genetics – and comprised of mutual function dependency among a group of related genes that affect phenotype(s) in a manner of a "house of cards" at each level of signaling pathways.

These coherent patterns provide a stable context for individual and mutual functioning (Jones 1993) – i.e. although systems may be influenced by external forces, there is a tendency for the system to reach a state of dynamic equilibrium (Wadsworth 2008).

What would chief compliance officers do? A. They would oversee critical mutual fund functions, such as trading and brokerage, and make sure that shareholder interests are protected.

This article describes their mutual relations, functions and connections within the system.

With the recent and future research efforts, a unified framework combining all mutual dependent functions is more desirable for MR-MC WMNs.

The separation of mutual information functions between the first and second session and the first and third session is significant (P < 10-7).

In another interesting study, Vallverdu and colleagues examined heart rate and respiratory pattern complexity in 78 patients during weaning trials using information flow analysis, which describes the regularity of signals by estimating the auto- and mutual information functions.