Due to the large specific surface area and inner characteristic of the flower like CuO, the resulting electrode show excellent electrocatalytic reduction for H2O2 and oxidation of NO 2 -.
This presentation format in the curriculum may erroneously suggest to students that empathy is an exclusively inner characteristic or a natural disposition [ 25] rather than a multidimensional competence to be taught, trained, and assessed [ 24, 26].
Conductivity, DSC and FT-IR measurements performed on such composite electrolytes, when compared to the model PEGDME/LiClO4 electrolyte, showed only slight improvement of their inner characteristics.
Nevertheless, PICP only considers the upper and lower bounds of the forecasting intervals, thus ignoring inner characteristics of the distribution.
The product and availability term: (P_1); Product's inner characteristics: (P_2); Package characteristics: (P_3); Brand awareness: (P_4); Information received recently about that product: (P_5).
In an unbounded domain, we consider a problem with conditions given on inner characteristics in a hyperbolic part of the considered domain and on some parts of the line of parabolic degeneracy.
While the generative relationships are due to the interactions among different elements of a system, the non-generative are represented by the inner characteristics of these elements [27, 28].
We have implemented a Spark library for undersampling and oversampling based on MapReduce.1 This experimental study will show that some of the inner characteristics of imbalanced data are accentuated in this framework.
The finding that 9 out of the top 10 indicators belonged to the two "inner characteristics" dimensions supports the assertion that instruction in areas such as attitudes and affection has a profound influence on students [ 4, 27].
Similarly, the results showed that inner characteristics (i.e., attitudes, traits, beliefs, and values) are perceived as more important than surface ones (i.e., professional knowledge, skills, and teaching competency).
The PLS-PM is a soft-modelling-technique with minimum demands regarding measurement scales, sample sizes and residual distributions (28), and the SEM can fully use the data information and reveal the inner characteristics of observed factors comprehensively and thoroughly (29).
