Sentence examples for comparison for evaluating from inspiring English sources

This study demonstrated the feasibility of vertex-wise group comparison for evaluating cortical fiber connectivity density.

Figure 11 Test scenarios and performance comparison for evaluating the BMs ( d mic =6 cm).

Immigrants have a mentality of optimism that originates from using the country of origin as a frame of comparison for evaluating their lives in the new country.

These data may also be used as a basis for comparison for evaluating alternative methods to ACL reconstruction, such as stem cell therapy (Hao et al. 2016) and tissue engineering (Ma et al. 2012), among other applications.

Fig. 3 Performance comparison for evaluating the effect of interleaver depth: bit error rate (BER) versus the signal-to-noise ratio (E s/N 0), channel code with rate r c=1/2 and d min=10, interleaver with N 2=100, and Jakes' fading spectrum with f D T s=0.01.

Table 1 Comparison for evaluating the convolution term under varying spatial sizes h Mesh h = 1/ 10 h = 1/ 20 h = 1/ 40 h = 1/ 80 h = 1/ 160 Error 2.105044e− 3 2.696346e− 4 3.417339e− 5 4.306438e− 6 5.409597e− 7. From Table 1, one can see that our new method has a higher order accuracy between the second-order and the third-order in space for evaluating the convolution term.

This chapter focuses on storage networking design from simple to complex and from local to wide area, and contains many lists that are used to create checklists, information worksheets, and comparison sheets for evaluating technology.

The compression curve of cemented clay at the corresponding after-curing water content wt is used to formulate the comparison basis for evaluating the destructuring of the soil structure.

In addition to providing substantial analyses of the data themself, it can be used as a benchmark for intervention research, international comparison, and for evaluating issues such as the differences and changes in the use of institutional child care.

One of extraction methods in previous studies, Saric's rule-based method is used as our comparison target for evaluating AutoPat's performance.

Statistical analyses were performed by using One-way ANOVA with a post Tukey's multiple comparison test for evaluating differences in tumor volumes between untreated and treated groups.