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We show how modeling has revealed many dynamical features of HIV infection and how it may provide insight into the ultimate cure for this infection.
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However, many mental functions demonstrate dynamical features and can be described by appropriate dynamical models over finite intervals of time.
This analysis (of course, over-simplified in many aspects) provides us with an important lesson: observed dynamical features of the translation process with and without presence of microRNA can give clues on the mechanisms of microRNA action and help to distinguish them in a particular experimental situation.
Although many molecular components of these networks have already been discovered, the analysis of the dynamical features of the regulatory network of life-or-death decision is still lacking.
In many systems, this quantity can be more easily extracted from experimental data than other related dynamical features such as Floquet exponents or isochron distributions.
The principal dynamical features of this matching are considered.
Many dynamical systems in physics, chemistry, biology and engineering sciences have impulsive dynamical behaviors due to abrupt jumps at certain instants during the dynamical processes.
Many dynamical processes contain both continuous and discrete elements simultaneously.
However, many dynamical systems possess an impulsive dynamical behavior due to abrupt changes at certain instants during the evolution process.
Indeed, many dynamical systems have an impulsive dynamical behavior due to abrupt changes at certain instants during the evolution process.
Moreover, the dynamical features of these exact solutions are analyzed by their density distributions.
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