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The results show that all of the considered methods performed significantly better when using the first input combination.
The result was better when using the multiple load method than when using the two-load method.
Second, students may have tried to perform better when using the search-based approach because it is the treatment proposed by the course holders.
However, the same as the other hybrid ANFIS methods, the ANFIS-PSO method performs much better when using the first input combination.
On average, participants performed better when using the eSchoolbag to assist their learning (M = 86.49, SD = 10.32) as opposed to the English learning without the eSchoolbag (M = 84.48, SD = 14.07).
Vessel contrast was significantly better when using the IDF device for both capillaries [17.1 ± 3.9 (IDF) v 3.4 ± 3.6 (SDF), p = 0.0006] and venules [36.1 ± 11.4 (IDF) v 26.4 ± 7.1 (SDF) p 0.014] Figure 1 Bland Altman plot of TVD measurements.
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This makes a dramatic difference for the better when using these while traveling.
In on-line, closed-loop BMI control, the monkeys followed targets significantly better when using our method than when using the Kalman or the Wiener filter.
Although SHELXL has still the advantage of scaling better when using multiple cores, the performance gap disappears when the size of the least-squares problem decreases.
Since the Charlson/Deyo and the Charlson/Romano models need information from prior hospitalizations, they performed better when using information from the index and prior hospitalizations compared with the index hospitalization only.
Is the performance better when using prior rather than the no prior approach?
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com