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These two unrelated parameters give the maximum resolution of the proteins present in a complex mixture.
On the other hand, a low entry of degrees of freedom is needed when several spot joints are present in a complex structure.
This is because some disulfide bonds may be present in a complex form that is difficult to identify if the sample is digested only with Lys-C and trypsin (Fig. 2).
Mass spectrometer based proteomics has evolved from the ability to identify proteins present in a complex mixture to its current state where both label free and label-based methodologies can provide quantitative information regarding proteins with high precision.
By PCR essentially any nucleic acid sequence present in a complex sample can be amplified in a cyclic process to generate a large number of identical copies that can readily be analyzed.
This may have several possible reasons: in the study of Brinkmann et al. [11], roach were injected with single DLCs, while in the present study, fish were exposed via the aqueous phase and DLCs were present in a complex mixture with other compounds that may also have an effect on the investigated genes.
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The results of a meta-analysis are usually presented in a complex figure, known as a forest plot, which shows both the individual studies and the summary statistics.
Simulation results for the control-oriented model are shown in Figs. 6a and 7a, while Figs. 6b and 7b show simulation results for the complex model presented in "A complex model of underwater snake robots".
It was shown that the control-oriented modeling approach captures these essential properties, resulting in a less complex model that is well suited for control design and analysis purposes, and at the same time has the same essential properties as the complex model presented in "A complex model of underwater snake robots".
The simulation results show that the properties derived based on the control-oriented model hold also for the complex model presented in "A complex model of underwater snake robots", something which supports the assumption that the control-oriented model is a valid approximation of the complex model for analysis and control design.
The fluid dynamic model of the control-oriented model presented in [44] is notably less complex than the fluid dynamic model presented in "A complex model of underwater snake robots", which takes into account significant parameters such as added mass effects, linear drag forces, torques due to the added mass and linear drag forces.
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