The result indicated that the selection of representative calibration samples can effectively enhance the cost-effectiveness of NIR spectral analysis by reducing the number of analyzed samples in the calibration set by more than 80%, which substantially reduces the effort of laboratory analyses with no significant loss in prediction accuracy.
Removal of highly abundant proteins in serum or other body fluid samples can effectively improve the number of proteins identified by decreasing the dynamic range of protein levels [ 14].
This project adds to that toolbox by introducing the Streambed Point Velocity Probe (SBPVP), a reusable tool designed to quantify groundwater-surface water interactions (GWSWI) at the interface with high density sampling, which can effectively, rapidly, and accurately complement conventional methods.
It has been shown analytically that this sampling strategy can effectively reduce the potential influence of population structure on population genetic analysis (Wakeley 1999; Wakeley and Aliacar 2001).
The experimental results demonstrate that "Orthogonal Sample Design Scheme" can effectively remove interfering part that is not relevant to intermolecular interaction.
The basic idea behind this approach is to introduce different metrics among the discrete data samples so that we can effectively locate each sample point on the contour tree to be constructed.
This is due to the following factor: At lower RSSI, thermal noise affects FER greatly; Thermal noise causes common interference to adjacent envelope samples, which SoftDec can effectively remove but HardDec cannot; As a result, HardDec has a lower slope rate in FER compared with SoftDec. Figure 14 FER: SoftDec (2 bit A/D, Δ = 1/4) vs. HardDec under different SIRs (BPF bandwidth = 65 MHz).
Furthermore, sampling additional taxa can effectively reduce branch lengths [ 67- 72], rendering appropriate branch lengths to consider for phylogenetic informativeness shorter than the extracted quartet.
The mechanical properties of the samples can be effectively improved by regulating their composition.
Therefore, by design, MSM-based adaptive sampling avoids well-sampled regions of the protein's conformational landscape and can effectively sample the least populated regions.
