We need to see U.S. business in a different way, not just as a two dimensional combination of large and small, but as a more complex and dynamic blend.
Though these Kathakali performers moved their feet and arms plenty, and their torsos slightly, this never developed into the great phrases and three-dimensional combinations of rhythmic footwork and gesture that characterize so much of Bharatanatyam, Kathak, Kuchipudi or Odissi; nor did the storytelling show any elements of poetry.
We can repeat the analysis using other two-dimensional combinations of the Pasion-Oldenburg parameters.
It also provides the other 2-dimensional combinations of categories from the three ontologies (BP, MF, and CC).
Later the Romans used the motif in their Composite order, in which the capital of the column is a three-dimensional combination of spirals resembling rams' horns and full-bodied acanthus leaves.
LDA looks for low-dimensional linear combinations of variables, which best explain the data, by maximizing the between-class scatter matrix while minimizing the within-class scatter matrix and form a linear discriminant function resulting in least misjudgments [87, 88, 89].
In both our simulated and empirical datasets, we show that the discovery of high-dimensional combinations and heterogeneity in the etiology of a complex disease may require not only computationally sophisticated algorithms but also careful examination and interpretation of the results of those algorithms to understand disease etiology.
PBPK models are highly dimensional and several combinations of parameter values of the model may equally and plausibly predict a limited set of plasma drug profiles, recognizing that such profiles are global reflections of the many interactions of drugs with body components.
To validate this non-dimensional parameter, different combinations of φ, h, and r were examined.
A line defect waveguide formed by a new kind of two-dimensional photonic crystal with combinations of gradient varied dielectric was designed and the properties of slow light will been studied by using the Plane Wave expansion Method (PWM).
In general, PCA aims to project a high-dimensional data matrix into a lower dimensional space by seeking linear combinations of the original variables, called principal components (PCs).
