Subsequently, two-sample t-tests of the connectivity values were performed between the IGE patients and the healthy controls.
Given a set F of vertices of a connected graph G, we study the problem of testing the connectivity of G−F in polynomial time with respect to |F| and the maximum degree Δ of G.
We also tested explicitly whether the connectivity of pathways was maintained by the resulting DSs, or in other words whether transcriptional pathways could be broken after duplication, finding that connectivity is maintained with very high significance.
In later years, there was a need to predict the unified system performance based on surveillance data, and to be able to test the possibility of the connectivity of the multiple reservoirs and reservoir segments.
This dataset was used to test the performance of the connectivity methods detailed in the next sections.
Granger causality spectra were obtained (see Materials and Methods) to test the direction of the connectivity between IC-F and IC-RS in the crossmodal task since significant coherence was observed between these ICs in the task.
EEG power was also included to test for possible dependencies of the connectivity parameters on overall signal strength of the alpha and beta oscillations.
In this paper, three different types of tests are introduced that allow (A) testing for changes in the module structure of the two networks, (B) testing for changed in the connectivity of a particular gene set, and (C) testing for changes in the connectivity of a particular gene.
For each subject and session, a general linear model was formed representing the 30 s blocks of word generation convolved with the canonical haemodynamic response function representing the task, the raw thalamic time series (allowing testing of functional connectivity between the thalamus and the rest of the brain) and the interaction of the two.
We then test the connectivity of the resulting, if is connected, e.g., the corresponding Laplacian has a rank of N−1, then we continue the evaluation; otherwise, this evaluation is abandoned and a new evaluation is carried out.
In our experiments, we randomly generate a set V of n wireless nodes and the UBG, then test the connectivity of UBG.
