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Based on the test results, a compressive strength model incorporating the loading path effect is developed and good performance was found in comparison with the experimental results.
In earlier comparative work on parameter search methods for H-H neuron models [25], good performance was found for genetic algorithms [26] and simulated annealing [27], [28] and no significant performance differences between these two types of optimization algorithm was observed.
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Several successful ASR systems having good performances are found in the literature [1 3].
Good performances are found for low-throughput experiments on murine non-coding X inactive specific transcript (Xist) repeat A region (RepA) (Maenner et al., 2010; Royce-Tolland et al., 2010) and yeast small nuclear RNA U1 (Cvitkovic and Jurica, 2012) (P-values: 0.03 and 0.015) (Fig. 1B).
Devices containing the dendrimers also had good efficiencies but the performance was found to decrease with the increasing number of surface groups, which gives rise to an increase in the molecular volume of the dye.
While good electronic quality and solar cell performance was found for a-Si H la-Si H the μc-Si:H materialayersed very high spin densithes, porosity and a characteristic structural inhomogeneity along the growth axis.
A good performance was also found when the entire database was analyzed (n = 106) with a mean relative error of 13.7% and bias of 4.8%.
Good activity and stability performances were found under the reaction conditions used.
We investigated the performance of the GPC algorithm [ 15] on our data, and found that comparable good performance was observed when learning from the synthetic data, although it tends to need twice as much data to achieve similar accuracy, and comparison can only be done on the final network.
Good performance was demonstrated.
We also breakdown performance based on which orthology groups the interaction participants are members of, and find that the good performance is driven by generally good performance for most pairs of orthology groups.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com