Sentence examples for most influential controls from inspiring English sources

Atmospheric circulation systems, near-surface meteorological elements, and underlying surface conditions are the most influential controls of initiating dust storms (Goudie 1983; Qian et al. 2002; Wang et al. 2004; Shao and Dong 2006) (Fig. 1).

Taguchi approach was applied to determine the most influential control factors which will yield better tensile strength of the joints of friction stir welded RDE-40 aluminium alloy.

Taguchi experimental design technique was applied to determine the most influential controlling parameters of FSP such as tool rotational speed, travel speed, tilt angle and penetration depth on hardness value of Mg.

In order to determine the most influential control factors which will yield minimum fusion zone grain size and maximum tensile strength of the joints, the traditional Hooke and Jeeves pattern search method was used.

In the present paper Taguchi's approach has been applied to the Evaporative Pattern Casting (EPC) process of Al 7%Si alloy to determine the most influential control factors which will provide better and consistent surface roughness to the castings regardless of the noise factors present.

As early as 1974, an article in Artforum magazine asserted that abstract artists had been promoted by "some of the most influential figures controlling museum policies" as part of "cold war tactics designed to woo European intellectuals".

For the parameter ranges investigated, results indicate that for the single fracture case, the most influential factors controlling dissolved O2 ingress are flow velocity in the fracture, fracture aperture, and the biotite reaction rate in the rock matrix.

He was often in conflict with his brothers regarding internal matters, with Nhu, Diệm's most influential adviser, controlling the southern part of the country.

For closely related proteins, the codon sequence similarity is the most influential factor controlling protein evolution, but its influence decreases rapidly as divergence grows.

To determine the most influential parameters controlling underlying subcellular mechanisms, we applied and compared the outcomes from two sensitivity analysis toolkits (PLS and Nimrod).

The time lapse between the peak in emissions and sample collection for biomonitoring is the most influential factor controlling the shape of concentration age trends for chemicals with human metabolic half-lives longer than 1 year.