Sentence examples for constraint differences from inspiring English sources

With this constraint, differences in the other outputs were small when management was optimized with 2%% discount rate, i.e., at low cutting level (Fig. 4, left panel).

With this additional constraint, differences in the distribution of homologues emerged.

Consequently, two possibilities can result from the selective constraint differences for gene duplication: one being that it may become more conserved in groups such as mGluR, CaSR, T1R or GB1, which induced new functions; the other one may become more variable in groups such as GB2, which resulted in functional relaxation or loss of functions.

The constraint difference for cruciform specimen with shallow crack, compact tension (CT) specimen and three point bending specimen with shallow and deep cracks are investigated.

Lower socioeconomic groups tend to use NHS services less in relation to need – this may reflect longer travel time, greater travel cost, lower car ownership, time constraints, differences in knowledge or beliefs about the need for medical attention (Dixon et al, 2003).

Conducting the survey made it possible to extract more fine grained knowledge with respect to the perceived constraints by analyzing the perceived strength of constraints and differences between users and non-users.

Reasons for this include human resource constraints, geographic differences in distance to services, and differing engagement strategies [ 21].

The plausibility of MI was confirmed by comparing the classifications with and without MI constraints: the differences in classification were not significant (χ; p < 0.001) and information criterion favored the constrained model.

Lower socioeconomic groups tend to use NHS services less in relation to need: this may reflect barriers to access such as transport or time constraints, and differences in knowledge or beliefs about the need for medical attention, but patients from higher socioeconomic groups may also communicate more effectively with the medical profession to obtain health care (Dixon et al, 2003).

Smoothing constraints, the difference between adjacent model parameters as an approximation of a derivative to control solution roughness, were also used (e.g., Menke, 1984).

The LIF energy is constructed by the local image information, which can be viewed as a constraint of the differences between the fitting image and the original image.