<span>B. have amniotic eggs.</span> Frogs and toads don't have amniotic eggs. Frogs and toads lay "frog's spawn" these are clumps of eggs covered with jelly like substance. Frog's spawn may contain thousands of eggs.
The ribosomes that is synthesizing the protein is directly attached to the ER membrane
Phenotypes are the physical makeup of a living thing and genotypes are the genetic makeup of the living thing
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1. Archaea are prokaryotic cells. These are one of the two prokaryotic organism domain. the other is eubacteria.
2. Eubacteria cell wall contains peptidoglycan which is composed of sugar and amino acids.
3. Eukaryotic cells have membrane-bound nucleus or organelles. which distinguishes it from prokaryotic cells.
4. All archaea domain organisms found in extreme conditions such as halophiles, extremophiles, and thermophile.
5. The cell wall of the plant is made of cellulose, a polymer of glucose units.
6. Eubacteria are considered to be the first living organism or form found on earth.
7. Fungi cell walls are made up of a chitin cell wall. which is makes it different from eubacteria and plants.
8. Fungi uses absorption to obtain nutrients. Most of the fungi uses haustaurium to absorb nutrients.
9.Fungi are organism that do not fit in other eukaryotic category. Hence they were classified as separate kingdom in 5 kingdom classification.
10.plants are classifies as autotrophs because they make their own food.These autotrophs serve as primary producers.
11.Corals have a symbiotic relationship with algae. Algae provide food for coral through photosynthesis where as coral provide protection to algae.
12.corals are classified as autotrophs due to their relationship with algae.They are mixotrophs generally because they act as autotrophs with association of algae and capture prey by tentacles thus making heterotrophic nutrition.
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.
To learn more about artificial intelligence, refer this link brainly.com/question/28448080
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