One widely used approach to cocrystal design is based on the consideration of ΔpKa, which can represent the propensity of molecular species to form a cocrystal or a salt.
The economic dimension represents the propensity for loss of economic value due to physical damage or the loss of productive capacity.
Where y 1,2 * are two unobservable latent variables representing the propensity to provide training and employ temporary workers, and y1,2 the observable reactions of firms, namely providing training and employing temporary workers.
The social dimension represents the propensity for a loss of well-being, either individual (for example, mental or physical health) or collective (for example, services) and the characteristics of those most affected (for example, groups marginalized by virtue of race, ethnicity, or gender).
For learning K modules, our goal is to determine (learn) the values of the membership parameters u ik and v jk, which represent the propensity that miRNA i or mRNA j belong to module k.
A shared characteristic of the five non-predictive facets is their integration of interpersonal emotional attributes, although some merge interpersonal and intrapersonal qualities (e.g. emotion perception represents the propensity to perceive emotions in oneself and in others).
Susceptibility characteristics can be added to the model through νS t, s) which represents the propensity of a patient to acquire a CD when he/she is at hospital.
In the approach used here a GSA test [ 14] is conducted to relate pre-defined sets of functionally-related genes to a variable that represents the propensity of a gene to be involved in a deletion or in an amplification.
In this formulation, the expansiveness and attractiveness parameters were reduced to a single parameter, α, which represents the propensity of a gene to be connected in an undirected network.
In the logistic regression equation, w i represents the propensity of the trial results to be published, β0 jk sets the overall probability of observing a randomized comparison between treatments j and k, and β1 jk controls how fast this probability evolves as the standard error increases.
