create fig and gridspec fig = plt.figure(figsize=(16, 10), dpi= 80) grid = plt.gridspec(4, 4, hspace=0.5, wspace=0.2) # define the axes ax_main = fig.add_subplot(grid[:-1, :-1]) ax_right = fig.add_subplot(grid[:-1, -1], xticklabels=[], yticklabels=[]) ax_bottom...
Figure 8C depicts that the DISFC model also prioritized neuroimaging biomarkers in regions such as the hippocampus, amygdala, thalamus, lateral ventricle, cortical sulci, and gyri, all of which are associated with AD [39, 40]. We also conducted the interpretability analysis on the importance of...
Input files for FullCAM to reproduce the patterns in this figure are provided as supplementary material. FPI/FPIave is the fraction of an annual Forest Productivity Index (FPI) for the year in which A1 and A2 occur, relative to the FPI average (FPIave) over the years 1970–2017 (DoEE, ...
This is a 3D model of a desk. In the bottom right figure, the desktop is flat and the normal vector ni is perpendicular to the local area. For each j∈Ni, θij=90∘. The bottom left figure and the top right figure are the convexity and concavity of the the desk respectively, ...
Figure 7A represents the PLSR predictive model of dry matter content using raw data, with poor prediction of D. officinale stems and better fitting of the PLSR model for leaves. Considering the effects caused by different preprocessing on the model, the spectral data of D. officinale stem and ...
Figure 5 and suggested that transfer learning and hyperparameter-tuning methods can improve the performance in classifying fundus images and working out the over-fitting problem, the definition of frozen and tuning in layers and blocks or activation was a special issue and should adopted the ...
To figure out fracture shape and breakdown pressure (BP) of CO2 fracturing, many experiments, such as acoustic emission monitoring, CT scanning, and microscopy, have been conducted [14–16]. The experimental results show that supercritical CO2 (SC-CO2) can generate more three-dimensional fractures...
Additional file 1: Figure S1. Statistics of data clustering results. Figure S2. Histogram showing the length of SMILES string in the USP7 targeted small molecules. Table S1. The evaluation metrics of the RF classifiers on test set. Table S2. The evaluation metrics of the DL model on test...
Additional file 14: Figure S4. Effect of targeted depletion of UBE2C, CDCA7, MELK, and NFE2L3 on CFU potential of CRC cells. Additional file 15: Figure S5. Structural modeling and molecular docking. Illustration of the interaction between TTK and BAY-1161909 (a), BAY-1217389 (b), and...
Figure 11 compares of model performances over different distributions. The ‘ground truth’ (GT) model is a predictive model where individual values w are exactly known. Thus, GT represents an upper limit the in predictive performance, limited only by the inherent randomness in Eq. 2. By compar...