Limiting factors are factors that can change growth rate of the populations. Limiting factors are the availability of food, water, shelter, disease or relationships between organisms like competition for resources or predation. So, for example, if one animal's population decreases (due to disease), the population of animals that eats that animal might also decrease (due to decreased food).
Infectious agents might be transmitted through the direct contact (person-to person or droplet spread) or indirectly through the airborne transmission, contaminated objects, insect bites, water and food, animal-to-person contact..
You can use Superbugs as an example of natural selection because <span>In evolution by natural selection, the individuals who can cope with the environment survive, while the ones who cannot die. The ones who survive reproduce, leading to a population of individuals with the survival characteristics. For superbugs, humans killed the bacteria that were not resistant to antibiotics. The resistant bacteria survived and reproduced. Humans caused the unnatural environment by introducing antibiotics into the bacteria's environment. However, since the conditions in the bacteria's environment select which bacteria survive, this is an example of evolution by natural selection. That's why MeriTR and that's they answer why you can use superbugs for an example of natural selection. #science work</span>
I think C) mate the black guinea pig with a white guinea pig. I am not sure
This book describes how control of distributed systems can be advanced by an integration of control, communication, and computation. The global control objectives are met by judicious combinations of local and nonlocal observations taking advantage of various forms of communication exchanges between distributed controllers. Control architectures are considered according to increasing degrees of cooperation of local controllers: fully distributed or decentralized control, control with communication between controllers, coordination control, and multilevel control. The book covers also topics bridging computer science, communication, and control, like communication for control of networks, average consensus for distributed systems, and modeling and verification of discrete and of hybrid systems.
Examples and case studies are introduced in the first part of the text and developed throughout the book. They include:
<span>control of underwater vehicles,automated-guided vehicles on a container terminal,control of a printer as a complex machine, andcontrol of an electric power system.</span>
The book is composed of short essays each within eight pages, including suggestions and references for further research and reading.
By reading the essays collected in the book Coordination Control of Distributed Systems, graduate students and post-docs will be introduced to the research frontiers in control of decentralized and of distributed systems. Control theorists and practitioners with backgrounds in electrical, mechanical, civil and aerospace engineering will find in the book information and inspiration to transfer to their fields of interest the state-of-art in coordination control.