Removal of either component of the second stage either its linear or the nonlinear element eliminates this specificity.
Because of its specificities, this nonlinear fiber spectrometer can be used for various studies of endogenous and exogenous fluorophores or harmonophores.
Nonlinear regression provided estimates of the specificity constants and standard errors for both reaction steps (k1 and k2) by using GEPASI 3.2 software (Mendes [1997]).
However, conventional techniques of nonlinear time series analysis generally lack sufficient sensitivity, specificity and robustness to discriminate chaos from random noise, much less quantify the chaos level.
However, prevailing tests of chaotic dynamics using myriad nonlinear or complexity measures generally lack sufficient sensitivity, specificity and robustness to discriminate chaos from random noise, much less quantify the chaos level (see Appendix S1 for critique of methods).
Michaelis−Menten enzyme kinetic analysis was performed and specificity constants (kcat/ Km) were determined using nonlinear regression analysis (Graphpad Prism 5).
In this regard, we note (Victor and Conte, 1991) that the specificity we observe can be produced by a two-stage (linear-nonlinear-linear-nonlinear) cascade, in which the first linear-nonlinear element detects local edges, and the second one combines signals from collinear edges via a second threshold.
The nonlinearity is typically obtained by defining nonlinear elements, such as nonlinear damping, nonlinear OHC force or pressure, and nonlinear geometry.
Chu and others [ 20] also discussed a trivariate nonlinear random-effects model for jointly modeling disease prevalence, sensitivity and specificity, as well as an alternative parameterization for jointly modeling prevalence and predictive values.
The use of transthoracic impedance (TI) was introduced in [16], comparing a set of parameters during rest by using a SVM nonlinear classifier (128 patients, 65 with positive), which yielded 94% sensitivity and 79% specificity.
