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Dynamical system features and signal reply functions of cellular signaling pathways are some of the main topics in biological dynamic systems (for example the biological segmentation).
A biological dynamic system carries engineering properties such as control systems and signal processing (or image processing) addicted to molecular biology at the level of bio-molecular communication networks.
Biological dynamic models are very important and hot research topics.
Future work will include biological dynamic systems based on impulsive differential equations [25, 26].
Recently, many scholars proposed several kinds of biological dynamic systems [1, 3 6] by utilizing the theory of singular system, which studies the dynamic system with capture factors.
This concept has been extensively used to study almost periodic solutions of functional dynamic equations, neural networks, biological dynamic models, and so on.
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In Fig. 8a b, the PSE was 773±23 ms (95% confidence interval, n = 360), 777±22 ms, 833±18 ms, and 808±17 ms for static Biological-Motion, dynamic Biological-Motion, static Whirligig, and dynamic Whirligig, respectively.
Advances in synthetic biology have enabled the engineering of cells with genetic circuits in order to program cells with new biological behavior, dynamic gene expression, and logic control.
This paper shows how biological population dynamic models in the form of partial differential equations can be applied to heterogeneous landscapes.
The scientific basis for monitoring: scaling methods, the use of biological indicators, dynamic and commitment models, pollution indices, etc.
For more biological applications, dynamic carbohydrates and mixed CRRL biomolecules (peptides, nucleic acid, and lipids) may be synthesized and selectively released in vitro and in vivo for a range of diagnostic/imaging or direct delivery of therapeutics.
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