The micro-structural expression of the stress tensor σij= 1V∑c∈Vvicfjc, where fci is the contact force and vci is the contact vector, was transformed into directional integration by grouping the terms with respect to their contact normal directions.
The application of the fci to the 113 municipalities in the state, results in the categorization of municipalities in 4 classes, depicting possible trends between marginalization and forest cover.
For each gene, we calculated the area under the curve (AUC) from uniformly sized models by using normalized (Fci) and non-normalized (Ci) cumulative read depth data and 10,000 simulated AUCs (non-normalized).
The inputs for the fci describes the dynamics of the degree of marginalization and the dynamics of plant cover during the period 2000-2010 of all municipalities in the state of Michoacan, used as a study case.
The optimization problem has been cast as a bi-objective minimization problem, where we attempt to simultaneously minimize the parasitic X-port input resistance (RX) and maximize the high end cut-off frequency of the current signal (fci).
We discussed the relevance of results of the fci in the light of forest public policies and their consequences in the degree of vulnerability of the territories in the consideration that the same PP applies for diverse areas.
The Forest Condition Index (fci) was designed and implemented as an instrument to provide a robust spatial reference by assessing forest condition in contrast to the degree of marginalization of municipal entities.
According to the results of the fci, it is necessary to propose an adequate model of pp design, according to the environmental condition of the territory, that allow a gradual increase of forest cover (conceived as the natural capital) and lower rates of marginalization through a model of sustainable use of forest resources.
Therefore, the dispersion performance can be described using Eq. (14) in the whole range in which the dispersion ratio changes between 0 and 1. Fig. 9 illustrates the forces acting on the ith spherical API particle (Eq. (1)), in which fci_n and fci_t are the normal and tangential components of the contact force fci, respectively.
Genes were ranked by their normalized AUC values (i.e. based on Fci curves).
fci, fapi and T i are the particle particle/wall contact force, air particle interaction force and torque acting on the particle, respectively.
