Steady-State Visually Evoked Potential (SSVEP) signals can be decoded by either a traditional machine learning algorithm or a deep learning network. Combining the two methods is expected to enhance the performance of an SSVEP-based brain-computer interfa
Experimental observations assisted by 2-D imaging diagnostics on the KSTAR tokamak show that a solitary perturbation (SP) emerges prior to a boundary burst of magnetized toroidal plasmas, which puts forward SP as a potential candidate for the burst trigger. We have constructed a machine learning ...
Horn’s analysis proposed a one-factor model with only one adjusted eigenvalue above one, the second eigenvalue, however, was 0.98 thus the two-factor model was selected. The two-factor model accounted for 69% of variance. The Kaiser–Meyer–Olkin measure verified sampling adequacy, total KMO...
The scale yielded good composite reliability (ω = 0.97), and appropriate patterns of correlations with anxiety and social support measures, thus attesting for its convergent validity. A total of 239 women (59.5%) had potential postpartum depression. Multivariate analysis showed that perceived ...
According to the assumption that the second largest eigenvalue of HG(y) is negative, it is easily seen that λ1(y)>0>λ2(y)≥⋯≥λn(y) and a1(y)≠0. For 2≤i≤n, let bi(y)=ai(y)a1(y), then uaGt(y)=0 implies u1=−∑i=2nbi(y)ui. Let dn(y)=λ1(y), we ...
The results with an eigenvalue greater than one confirm that these items can be combined in a single factor. In a further step, we eliminated items with loadings less than 0.30 and included six items, leading to a Cronbach's alpha coefficient of 0.66 (Appendix C), the reliability of which...
Unfolding this type I singular bifurcation structure is the main focus of Sect. 6 which is based on the blow-up method, a desingularisation technique for nilpotent singularities that has been successfully implemented in geometric singular perturbation problems with loss of normal hyperbolicity [14–...
In the light of the above observations, the classic representation of protein structure as a succession of repetitive ordered secondary structures and random coil does not allow understanding of the complexity associated with structural flexibility. Actually, the coarseness of the secondar...
Harman’s single factor test was used to check the common method bias among the model variables except for the demographic covariates. We found that the first eigenvalue explained 46.1% of the total variance, not exceeding the cutoff point of 50%52, indicating that the common method bias is ...
11b). We obtained a 4.2 Å-resolution structure of the overall Goslar chimallin assembly, and used a similar localized reconstruction procedure as for the 201phi2-1 chimallin to obtain a 2.6 Å-resolution structure of the Goslar chimallin tetramer, and a 2.3 Å-resolution ...