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BlackZzzverrR [31]
3 years ago
11

Use your own words to explain planetary gravitation. provide an example.

Biology
1 answer:
goblinko [34]3 years ago
3 0
The planets moons movements and the attraction that can be caused between it

Example : Pluto gains a fourth moon Or a massive new planet in our solar system
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Please Help!
Ksivusya [100]

Answer:

I believe it is the "Nucleus."

Explanation:

Hope my answer has helped you!

5 0
3 years ago
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If you didn't have macrophages in your body then,
Dovator [93]
<span>You wouldn't be able to defend against germs</span>
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3 years ago
What are somatic cells
vodomira [7]
<span>any cell of a living organism other than the reproductive cells is called a somatic cells. </span>
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This model shows the basic process of making a protein. What are the strengths and limitations of this model?
Len [333]

Answer:

Results

We systematically analyze and compare how different modelling methodologies can be used to describe translation. We define various statistically equivalent codon-based simulation algorithms and analyze the importance of the update rule in determining the steady state, an aspect often neglected. Then a novel probabilistic Boolean network (PBN) model is proposed for modelling translation, which enjoys an exact numerical solution. This solution matches those of numerical simulation from other methods and acts as a complementary tool to analytical approximations and simulations. The advantages and limitations of various codon-based models are compared, and illustrated by examples with real biological complexities such as slow codons, premature termination and feedback regulation. Our studies reveal that while different models gives broadly similiar trends in many cases, important differences also arise and can be clearly seen, in the dependence of the translation rate on different parameters. Furthermore, the update rule affects the steady state solution.

Conclusions

The codon-based models are based on different levels of abstraction. Our analysis suggests that a multiple model approach to understanding translation allows one to ascertain which aspects of the conclusions are robust with respect to the choice of modelling methodology, and when (and why) important differences may arise. This approach also allows for an optimal use of analysis tools, which is especially important when additional complexities or regulatory mechanisms are included. This approach can provide a robust platform for dissecting translation, and results in an improved predictive framework for applications in systems and synthetic biology.

hope it help friends

3 0
2 years ago
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In every living thing; plants utilize it when they perform photosynthesis
beks73 [17]
I believe the answer is sunlight
5 0
3 years ago
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