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Finding the right balance between activating many types of adaptive responses and maintaining tight control over gene expression both factors dependent on the level of transcriptional deregulation is the key for maximizing adaptability to environmental influences while minimizing the threat of malignant transformation or other pathologies.
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One conclusion drawn from that work is that network size should be minimized, scale-free topology maintained, and intermediate network connectivity evolved in order to maximize adaptability.
The issue of genetic translocation to maximize population adaptability and evolutionary resilience under climate change is pertinent to ongoing landscape restoration (Menges 2008; Jones and Monaco 2009).
The potential for translocations to maximize population adaptability under climate change is increasingly being considered in the context of landscape restoration (Menges 2008; Jones and Monaco 2009); however, the perceived risk of losing local adaptation is a serious impediment to this approach being put into practice.
Reviewing the recent literature and reflecting on current research, we find that dominant attempts to increase production focus on maximizing control, while insufficient attention has been paid to system resilience, adaptability and transformability.
This framework has been designed applying design patterns and an object-oriented middleware platform to maximize its reusability and adaptability in new contexts with a minimum of programming efforts.
You'd be looking to maximize the ratio of brains to adaptability.
An appropriate balance must be struck between implementation fidelity, defined as respecting the core nature of the program that underlies its effects, and adaptability to context to maximize benefit in specific situations.
An appropriate balance must be struck between implementation fidelity, defined as respecting the core nature of the program that underlies its effects, and adaptability to a specific context, to maximize the benefit of the intervention in a specific situation [ 9, 10, 16, 17].
It is shown that the SAR provides better adaptability to the environment than the previously suggested algorithms and maximizes throughput, minimizes end-to-end delay in a number of realistic scenarios and significantly improves routing performance.
Objective assessments of species' resilience and adaptability are of crucial importance to develop management recommendations that maximize the long-term survival chances of endangered wildlife, especially when rates of forest conversion are high and human-altered landscapes dominate their range.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com