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We believe our uniqueness result is the first of its nature in the class of models we study.
For these infinite dimensional models we study finite speed of propagation of information, well-posedness of the semigroup, time behaviour of the derivatives and strong ergodicity problem.
Through a series of simple separation of powers models, we study one such tactic, employed by both Democratic and Republican presidents: the use of signing statements, which purport to have status in the interpretation of statutory meaning.
Having obtained the reduced-order models, we study their step and impulse responses, and compare them to those of the original full-order model.
Using direct ridership models, we study whether underlying built environment factors identified using factor analysis and the package of these factors embodied in station "types" identified using cluster analysis were associated with higher ridership.
Based on Petri net models, we study the information needed for agents to make cooperative decisions, mechanism to make agents cooperate, and how to enhance the performance in the system level by taking advantage of the agents' cooperation capabilities.
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Based on comparative molecular dynamics simulations using explicit and implicit solvent models, we studied the dynamic properties of both protein and water.
Using these models we studied kinetic characteristics of plastocyanin-photosystem 1 and ferredoxin-photosystem 1 complex formation at a variety of ionic strength values.
In each of the three models we studied (see Methods), we assume a maximum distance dmax between the two bound factors, beyond which there is no interaction.
In alternative models, we studied the consequences of assuming diagnostic errors.
Therefore, we compared the outcome of the three models we studied integrated together by calculating the percentage change under stress in specific hippocampal transcripts.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com