student satisfaction levels in face-to-face and online courses were compared in the English language teaching field. As a result, it was determined that students were more satisfied with face-to-face classes. In summary, it can be said that a well-designed distance learning environment is a c...
The typology of IESPs is derived by combining the MCA with clustering analysis (K-means version). The variables derived from the MCA dimensions are considered as “criterion variables” for classifying the IESPs into homogeneous groups. This is done using cluster analysis based on K-means partiti...
Thus, local higher-order indicators provide enhanced quantitative means to understand the temporal evolution of task-related brain activity, underscoring their efficacy in decoding tasks more effectively. Fig. 2: Global and local higher-order topological indicators for fMRI task differentiability. a We ...
Overall, our results provide a potential means of circumventing conventional limits on multiexponential parameter estimation. Although the approximate analytic and MC results presented here are fully supportive of each other, there are some obvious differences. First and foremost, the MC calculation is ...
A minority of female participants were on the contraceptive pill (n = 12 and n = 5 in the MDD and control groups, respectively). Table 1. Biometric data (mean ± standard deviation) overall, by group (MDD and control) and sex. 3.2. Psychometric data The means ...
The significant difference between the means of each pair of group was computed using Standard Deviation, 't' test, ANOVA and Pearson's Co-efficient Correlation. The findings were established and tabulated from the analysed data. The finding shows that there was no significant difference between ...
In the long-run, this is a double win for dividend stocks. Not only do they produce higher average dividends, their standard deviation is 21.17 compared to 33.58 for non-dividend stocks. This means thatdividend stocks produce higher returns and are lower risk than non-dividend stocks!
The problem is that hedge fund returns do not follow the symmetrical return paths implied by traditional volatility. Instead, hedge fund returns tend to be skewed. Specifically, they tend to be negatively skewed, which means they bear the dreaded "fat tails," which are mostly characterized by ...
The UDL framework, rooted in cognitive neuroscience and learning sciences, provides a structured approach to designing flexible learning backgrounds that accommodate individual learning differences [91]. By offering numerous means of engagement, representation, action, and expression, UDL seeks to optimize ...
The error bar represents the standard deviation estimated from 1000 samples. The data confirm our prediction that r > 1 for all considered simplicial complexes, and the difference between the first-order and second-order degree heterogeneities is most pronounced when the pairwise connections are ...