Sentence examples for effect of halving from inspiring English sources

Panels 1 vs. 2 and 3 vs. 4 illustrate the (linear) effect of halving the jump probability, which effectively cuts the average physical distance between populations in half.

This has the effect of halving the quota for the senate, making it more likely for the party winning the majority of votes to win more senate seats than the other party, but also increases the likelihood of minor parties being elected.

Since the AIL we are using as a test population is relatively densely genotyped we mapped using regression at marker locations in all cases, which also had the effect of halving the time required and eliminating potential worries about the accuracy of assigning genotype probabilities between markers.

However, if the effect of halving gene dose for a wild-type allele is also small, then the effect of unmasking deleterious mutations can be relatively large.

The outcomes were also somewhat sensitive to the assumed HPV incidence, and we assessed the effect of halving HPV incidence at all ages.

Our simulations show that land use patterns substantially affect available cropping areas: For example, GM farmers in study area 1 would be able to allocate about four times more land for GM OSR cropping than farmers in study area 4, which has about the same effect as halving the isolation distance from 800 m to 400 m and even higher than the effect of halving the non-GM OSR cropping proportion.

The side-effect of halving is visible from the presence of two independent variables, ξ and η, due to which system (13.10), (13.11), in contrast to (13.6), contains n extra equations.

If, for example, the effect of treatment is halved the costs are doubled but the percentage difference is similar.

Notably, the inhibitory effect of glucose was halved in α-V59M islets (−18% versus −35%) whereas tolbutamide was as inhibitory as in control islets (∼30%).

Assuming a 3 1 ratio of FHR and CO, and a 15% attrition on follow-up, a sample of 316 (158 receiving intervention and 158 in a control arm) is required to detect an effect of intervention that halves the risk of SMI as statistically significant (p < 0.05) in a survival analysis with a power of 80%.

Individual parameter volumes from the first half of the data set was then averaged pairwise with the corresponding volume from the second half of the data set, thus reducing session effects at the expense of halving the number of training examples.