Based on the flutter derivatives of model B, a flutter boundary prediction is subsequently carried out on a cable-supported bridge to manifest the changes of critical flutter wind velocity due to different relative amplitudes.
The oxidation of benzothiophene (BTs) and dibenzothiophene (DBTs) derivatives, of model fuel (MF) and authentic diesel fuel (ADF) with homogeneous and heterogeneous rhenium catalysts and H2O2 has been studied to design an alternative environmentally benign oxidative desulfurization process (ODS), for oil industry.
Our approach is based on analysis of linear dependences of the first order partial derivative functions of model equations.
The first order derivative of the model was then used to derive weight and height velocities over time (Botton et al., 2008; Mook-Kanamori et al., 2011).
We have used the beta derivative to model the spread of the fatal disease called Ebola that has killed many people in the West African countries including Nigeria, Sierra Leone, Guinea, and Liberia since December 2013.
When the researcher is happy with their model, biologically meaningful traits can be derived using calculus (e.g., to estimate age at adiposity rebound after modeling childhood BMI data, find the age when the first derivative of the model is zero).
A total of 6 substitution sites were marked on the arylthioindole moiety which became the basis of fragmenting the derivatives for model development, of which 3 sites namely, R4, R5 and R6 were taken into account.
It is important to note that these data are singularly derivative of emergent model output observations; there is no empirical data set to validate group size results.
To distinguish the roles of S. coelicolor tmRNA in ribosome recycling function and in degradation of tagged proteins, we created a derivative of ssrA, modeled after well-characterized mutants in other organisms, in which the codons encoding the C-terminal two Ala residues of the tmRNA tag are altered to encode Asp [10], [15], [26].
Many air quality studies require sensitivity analyses, i.e., the computation of derivatives of the model output with respect to model parameters.
The most widely used method is the local sensitivity analysis which consists of calculating the partial derivatives of the model state variables to the model parameters evaluated at the normal operating point where all the parameters have their nominal value.
