Each dimension of human resource practices is closely related and mutually coordinated.
Of particular importance is how transcription factors (TFs) mutually coordinate the expression of thousands of genes and noncoding RNAs (ncRNAs) [1] like microRNAs (miRNAs) or long ncRNAs in response to various stimuli.
Under physiological conditions, the ROS level is kept within a certain range due to the balance between production and scavenging, and this balance is the result of many mutually coordinated genes.
In information geometry, a is expressed by two mutually dual coordinate systems: an m-coordinate system and an e-coordinate system (Amari and Nagaoka 2000).
As the PCA transformation maximizes the spread in inhibition values by a "pseudo-inhibitor" created by the recombination of inhibitors of the dataset, inhibitors that are selective for subgroups of targets are most strongly represented in the relevant transformed coordinates, with the (mutually orthogonal) coordinates ranked (PC #1, PC #2, etc).
This paper examines how technological and organisational changes are mediated through different means of mutually monitoring and collectively coordinating technological developments in the field of semiconductor manufacturing.
Thus, climate change mitigation hinges on devising integrated policies involving many mutually reinforcing and coordinated efforts in order to exploit synergies between policy tools and to avoid policy conflicts.
In contrast, collaborative learning requires that the persons involved possess more or less the same skill level (Dillenbourg 1999) so their efforts can be coordinated mutually and performed together in pursuing a shared goal (Roschelle & Teasley 1995).
JuncBASE [ 38] was used for annotating all AS events, including cassette exons, alternative 5'SSs, alternative 3'SSs, mutually exclusive exons, coordinate cassette exons, alternative first exons, alternative last exons and intron retention, which takes as input the genome coordinates of all annotated exons and all confidently identified splice junctions.
Imagine a system of 3N mutually orthogonal coordinates in a 3N-dimensional space (a space of more than three dimensions is a purely mathematical construction, sometimes known as a hyperspace).
Principal component analysis (PCA), which is widely used for dimensionality reduction in hyperspectral image processing [4, 5], transforms raw hyperspectral data into a new feature space with mutually orthogonal coordinates.
