During recent years, the authors of the present paper applied this model for practical problems.
We applied this model for Big Bend National Park, Texas, by assessing the impact of wildfire on the trajectory of vegetation communities over time.
Note that high R2 value of the latter model is due to the "grouping" of the data towards low values on the x-axis, which is often observed upon applying this model for the kinetic analysis in layered hydroxides [18, 53].
We have applied this model for drug block to IKr, INa, and ICaL.
Recently, our group has applied this model for use with any combination of short-lived interstitial brachytherapy and external beam radiotherapy for prostate cancer (unpublished/submitted data, 2003).
We, however, expect that regardless of the choice of imputation method this remained a sparse dataset with substantial limitations which should be acknowledged and carefully considered when applying this model for future simulation purposes.
To test this, we used an alternative, very well-established model of experimental liver fibrosis relying on repetitive injections of the substance CCl4 into mice and applied this model for 2 and 6 weeks to WT, Casp-8LPC-KO, Casp-8LPC-KO/RIP3−/−, and RIP3−/− mice.
We apply this model to provide guidelines for the construction of an optimized reference sequence dataset for CNV calling purposes, as well as realistic power estimates.
In order to alleviate the malicious behaviors, we incorporate the concept of trust to Ad hoc networks, build a simple trust model to evaluate neighbors' forwarding behavior and apply this model to opportunistic routing for Ad hoc networks.
