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Simple empirical or semi-empirical models such as the classical Higuchi equation and the so-called power law, as well as more complex mechanistic theories that consider diffusion, swelling and dissolution processes simultaneously are presented, and their advantages and limitations are discussed.
These simple models motivated more complex mechanistic models later in our paper.
Similarly, the MAK2 approach enables accurate DNA quantification using significantly less complex experimental methods by carrying out a more complex, mechanistic software analysis.
Although originally designed for physiological variables, the IDR models may be viewed as collapsed versions of more complex mechanistic models.
The more complex mechanistic models consider multiple substrates (amorphous and crystalline cellulose) and the different enzyme components.
The use of more complex mechanistic models that account for the nonlinear interaction between climate and susceptibility, together with the availability of new data on carriage rates, vaccination coverage, and respiratory viral infections, is expected to enhance our understanding of the epidemics and eventually serve as more precise prediction tools.
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This model substitutes simpler, systems measures to replace the more complex, step-wise, mechanistic measures used elsewhere, [e.g. [ 13, 14]].
The models developed in these publications ranged from simple rules and equations to more complex first-order and mechanistic models.
These findings unravel a more complex picture of the mechanistic effects of cilengitide on endothelial cells and, more generally, highlight the role of integrins and integrin-induced signaling events in the regulation of endothelial cell functions (See Figure 9 for a working model).
The establishment of such a new genotoxicity testing strategy will take time and the new in vitro genotoxicity testing will become much more complex and will require greater mechanistic understanding to build a weight of evidence decision, which will be demanding and time-consuming.
Using the recategorized groups, we hypothesize that the High-Mechanistic group will use more complex and accurate mathematical strategies than the Low-Mechanistic group, because they are more likely to consider the mechanistic relationship between the robot's motors and wheels and, therefore, discover the proportional relationships between motor rotations, wheel rotations, and distance traveled.
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