Sentence examples for target incidence from inspiring English sources

Next, given the target incidence I*, evaluate one sample of the human variability factor HV I*[ j] = exp{ z I* σ H[ j]}.

In addition, we use an asterisk to indicate fixed or target values, such as a "critical effect size" (M*), target human dose (HD*), or target incidence level (I*).

From this (uncertain) human variability distribution, we derive an (uncertain) human variability factor HV I* for the ratio between the quantile corresponding to a selected target incidence (I*) value and the median, so that HD M* I* = HD M* × HV I*.

For an exposure limit, one selects a target incidence value I* ≥M* and solves for dose D. Given that the median of the distribution HD 0.5 ≥M*) was calculated in step 2, this can be calculated by multiplying the median by the ratio between the I* quantile of the variability distribution and its median, denoted the human variability factor HV I*.

The HIV-target incidence rate, production/proliferation, and removal rates of the cells and HIV are represented by general nonlinear functions.

We have considered more general nonlinear functions for the HIV-target incidence rate, production/proliferation, and removal rates of the cells and HIV.

The identification problem of determining the presence of targets in a biological sample using non-unique probes can be solved in three steps suggested by Schliep and Torney [ 8]: (1) Pre-select suitable probe candidates and compute the probe-target incidence matrix M [ 10, 11].

In this section, we study the following problem: Problem 1: MIN- d-DS (Minimum d-Disjunct Submatrix): Given m non-unique probe candidates and a m × n probe-target incidence matrix M, select a minimum set of the probe candidates such that the h × n submatrix H is d-disjunct, where h≤ n.

To achieve this purpose, we can construct a (d, 2 k -disjunct matrix [ 16] and study the following problem: Problem 2: MIN-(d, 2 k -disjunctmatrix, 2 k) Disjunct Submatrix): Given m non-unique probe candidates and a m × n probe-target incidence matrix M, select a minimum set of the probe candidates such that the h × n submatrix H is (d,2 k) disjunct, where h< n.

These five populations represent the main targeted incidence surveillance populations in Dehong during this time period.

Secondary endpoints were sampling frequency, BGL within pre-defined targets, incidences of severe hypoglycemia, and hyperglycemia.