Answer:
D
Explanation:
Prokaryotic are simple cells and do not have nucleus.
Answer:
The correct answer would be humus.
Humus is the organic material of the soil formed by the decomposition of the dead plants and animals. It is thick and dark in color (brown or black) and can also be produced by the process of composting.
It is very for the soil as it adds moisture to the soil, enhances the structure of the soil which increases the aeration and drainage.
It favors the growth of organisms (such as earthworm) helpful for the growth of plants and adds lots of nutrients to the soil, specially nitrogen.
In contrast, loam is a type of soil which is composed of silt, sand, and clay in 40-40-20 ratio. Regolith referred to the superficial layer covering the solid rocks or bedrock. It is formed by the accumulation of soil, dust, broken rocks etc on the bedrock.
Lastly, talus referred to the slope which is formed by deposition of shattered rock debris at the base of a cliff.
They can create competition within a certain niche
The lower invertebrate phylum that has the greatest diversity is called Arthropod. An Arthropod is an invertebrate animal that has a segmented body, an exoskeleton, and paired jointed appendages. Arthropods include an incredibly diverse group from the phylum Euarthropoda, which includes myriapods, <span>arachnids, insects, and crustaceans.</span>
Answer:
Neural networks
Explanation:
The neuron is the structural and functional unit of the nervous system. The neuron is also known as a nerve cell. The neuron is the largest cell of the body that helps to communicate or transmit signals. A neuron has an axon body, dendrites, and terminal region. The transmission of the signal from one neuron to another through the axon terminal. Large numbers of neurons are present in the human body system that coordinates the whole body system. Neural networks contain a massive amount of neurons whose architecture is based on neurons. So, the correct answer to the given question is neural networks that use massively parallel systems based on neurons.
