1. The central nervous system including brain and spinal cord.
2. The peripheral nervous system including nerves coming out from the brain and spinal cord, i.e., cranial nerves and spinal nerves.
3. The autonomic nervous system including sympathetic nervous system and parasympathetic nervous system.
Answer:
Here give it to her now but she copy and pasted and I got in trouble...
Explanation:
<span>This organelle is the nucleolus.
The nucleolus is made of proteins, DNA, and RNA. They form around specific regions of the chromosomes called nucleolar organizing regions. These regions of the chromosomes contain some the genes needed for ribosome production.</span>
We must first define these three prominent definitions of species. Biological species concept means that organisms resemble each other because of genes being passed from parent to offspring. Phylogenetic species concept means that organisms resemble each other because they evolved from a common ancestor. Lastly, morphological species concept characterizes species on the structure of their body parts rather than genetic or phylogeny.
In this case, (1) biological species concept is not applicable for extinct species, (2) phylogenetic species concept is based on evolutionary history, (3) morphological species concept relies on similarities in structure, (4) Morphological and phylogenetic species concept accommodates asexual reproduction, and lastly (5) all species concepts are used by scientists in classification.
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.
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