Answer:
Adaption is needed for a living thing to strive in a system, its how they survive.
Explanation:
Adaptation is needed to survive. This includes climate, predators around it etc. For example polar bears. Polar bears adapt to their environment by growing thick coats of fur. These coats keep the bears warm.Without it they would die.
ATP is not generated directly in the citric acid cycle. Instead, an intermediate is first generated by substrate-level phosphorylation. The intermediate is GTP.
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What is GTP?</h3>
- A purine nucleoside triphosphate is guanosine-5'-triphosphate.
- It serves as one of the components necessary for the creation of RNA during transcription.
- The main distinction between its structure and that of the guanosine nucleoside is the presence of phosphates on the ribose sugar of nucleotides like GTP.
- Also known as guanosine triphosphate, this energy-dense nucleotide is similar to ATP and is made up of guanine, ribose, and three phosphate groups.
- It is required for the creation of peptide bonds during protein synthesis.
- Adenine nitrogenous base, sugar ribose, and triphosphate make up ATP, a nucleoside triphosphate, whereas guanine nitrogenous base, sugar ribose, and triphosphate make up GTP.
- This is the main distinction between the two compounds.
- The alpha-guanosine subunit's diphosphate (GDP) is converted into guanosine triphosphate (GTP), and the GTP-bound alpha-subunit subsequently separates from the beta- and gamma-subunits.
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Answer:
D. Sun > Grass > Mouse > Owl
Explanation:
the arrows show the flow of energy; in other words they show who is receiving the energy
Category of AI that attempts to emulate the way the human brain works neural network.
A neural network is a biological neural network made up of biological neurons or an artificial neural network used to solve artificial intelligence (AI) problems.
Artificial neural networks model biological neuron connections as weights between nodes. An excitatory link is represented by a positive weight, whereas an inhibitory connection is represented by a negative weight. Each input is given a weight before being added together.
These artificial networks can be applied to adaptive control, predictive modelling, and other tasks where a dataset can be utilised to train them.
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