The nCREANN Linear and Non-Linear connectivity between brain regions for each frequency band and each group after surrogate testing is displayed. This means that the significant connections (those that exceeded
If nonlinearity is weak compared to linear dispersion, the energy transfers are dominated by resonant interactions, when the wavenumbers and frequencies of two waves sum respectively to the wavenumber and frequency of the third wave. Such interactions in internal wavefields are observed at play in ...
We want to identify the patterns in the input data used by the GNN model to make a decision and examine if the model works as we desire. However, due to the complex data representation and non-linear transformations, explaining decisions made by GNNs is challenging. In this work, we ...
Afterwards, we repeated the previous regression analysis using a different gender diversity measure, namely the female ratio (the proportion of females on a management team), and included a (non-linear) squared term for the gender composition variable, as shown in the following expression:(6)Pit...
marcescens and of each single cluster are open (slope of the log-log cumulative curve linear regression < 1, p value < 0.05, Figs. S7 and S8). The five clusters show pan-genomes of different size: Cluster 4 exhibits the largest pan-genome and boosts the species total pan-...
To assess the drivers of alien species richness and cover in post-coal mine heaps, we built a generalised linear mixed effect model (GLMM) and linear mixed effect model (LMM), assuming a Poisson distribution with a log linking function and Gaussian distribution, respectively. In these models, ...
Stack is a linear data structure that serves as a collection of elements. The order in which elements come off a stack is LIFO (Last In First Out). The following two basic operations are performed in the stack: Pu...
The relationship between Δ14C and SRO mineral content and distance from PFP was modeled using least squares linear regression via the lm function in R ( = 0.05). We account for the potential confounding influence of depth by including depth as a predictor in our modeling exercise. We tested ...
coli and Shigella35, 406 Salmonella36, as well as 30 fungal37 strains. Fig. 3 PoF vs. carbon source molar mass. eF310 as function of the carbon source's molar mass for all single, growth-supporting carbon sources in E. coli iJO1366. The line represents a linear fit to the data. ...
46,85. Ring faults are typically formed on top of magmatic reservoirs and can accompany the formation of calderas. A slip along the whole ring fault is described by a vertical compensated linear vector dipole (vCLVD)46,85. Two types of vCLVD have been observed45...