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In the manufacturing cell control domain, these methodologies are directed toward integrating the requirements specification, the design, and the implementation of the cell controller into a consistent process, supported by efficient analysis and development tools.
In fact, the output of the proposed algorithm is the joint optimization of the routing path, and base-station selection to achieve the maximum total throughput in the system, which in conjunction with the proposed adaptive scheme leads to the implementation of the cell breathing via allocating the proper transmit power to the base-stations and relays.
Next, in order to identify the critical conditions that lead to the implementation of the cell cycle arrest and/or the apoptosis induction, we used the proposed model to examine the relationships present during the p53 activation, the cell cycle arrest and the apoptosis induction.
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However, the implementation of these cell sheets without the use of any animal-derived materials is highly desirable.
These biological findings suggest there is possibility that the oscillation of p53 plays an important role in the implementation of either the cell cycle arrest or the induction of apoptosis.
Finally, we examined the contributions of p53's dynamic behavior on the implementation of both the cell cycle arrest and the apoptosis induction.
In the current study, we attempted to numerically elucidate the effect of p53's dynamic behavior in the implementation of both the cell cycle arrest and the apoptosis induction.
To achieve this, we first constructed a novel kinetic mathematical model that described the influence that DNA damage has on the implementation of both the cell cycle arrest and the apoptosis induction via its activation of the p53 synthesis process.
The p53 ambidextrously controlled the implementation of both the cell cycle arrest system and apoptosis induction system with employing the diversity of own dynamic behaviors.
22 The implementation method of the cell lifespan model is detailed in Supplementary Figure S2.
In our implementation of the B cell differentiation network, sufficiently large stochastic fluctuations in Blimp-1 expression result in substantially graded response for percentage plasma cell formation with an estimated Hill coefficient close to 1.
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