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These include characterizing the surface chemistry and structure of nanoparticles, determining the atomic level structure of proteins bound to surfaces, 3D imaging of samples, and improved sample preparation methods that maintain materials in a relevant state when using ultra-high vacuum based analysis techniques.
Moving forwards, a more useful sampling method would have taken all the samples from the same region of the same parchment; this would have reduced the amount of variation between samples and improved the repeatability of the findings.
PCA enabled multiclass comparisons between samples and improved the interpretation of expression profiles.
Given the rapid expansion of categorization and characterization of biological samples and improved data collection technologies, we expect collections of complex, high-dimensional and feature-rich data from complex dynamic biological processes, such as cancer progression, immune response and developmental processes, to continue to grow.
It has been suggested that greater heterogeneity in snowball samples, and improved representativeness can be achieved by increasing sample sizes, using quotas for key demographic variables, use of multiple starting points for snowball initiation and using a small number of links within each chain [ 13, 27].
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This approach could decrease the number of training samples and improve the optimization efficiency while without decreasing its generalization.
There are three main approaches with emphasis on reducing training samples and improving the efficiency of learning machines.
Thus, the linear regression can learn the discriminative projection to better adapt to the labels of the samples and improve the classification rate of the new samples.
Therefore, it becomes unfeasible for a single-robot to navigate to different locations, collect samples, and improve parameter estimates in a short period of time.
Table 7 shows that the actual sampling time decreases a lot when using UASM, which means that the logging instrument can measure more samples and improve the vertical resolution.
The model estimates the replicate effect associated with the paired nature of the samples, and improves detection of the treatment effect.
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