The answer is B. I hope that this helped.
1. They have a slimy skin in which the oxygen gets dissolved. 2. The frog have lung instead of gills 3. They have enormous no. of nerves which help them to breathe through skin
This is called bursitis specifically olecranon bursitis. Olecranon bursa in the elbow is a thin fluid filled sac at the tip of the elbow. The bursa fills with fluid which can lead into inflammation on the surrounding area of the elbow resulting in pain and limitations of movement. Complications can happen if medical attention is not given. This includes bleeding, bruising, infectins, necrotizing fasciitis can also happen. Patient must undergo work up such as plain x rays, bone scintigraphy or if needed MRI/CT scan. Surgical interventions are usually needed because non surgical means are usually non effective. Long term monitoring is a must and patient must be advised on prevention practices.
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
I think it's Genetic engineering
