The part of the leaf that is connected to the transport sister in the veins of the leaf.
I wanna say it's sand stone but I'm not sure what you are learning about
B. If there were no greenhouse effect, liquid water would not exist on the surface of the Earth
D. The Earth has reached thermal equilibrium, emitting the same amount of energy into space as it absorbs from the Sun.
E. The more carbon dioxide there is in an atmosphere, the stronger the greenhouse effect will be
Explanation:
The greenhouse effect plays major role in the climate of our planet in diverse ways:
- it is responsible for the existence of liquid water on the surface of the earth.
- it allows the earth to reach an equilibrium with space in exchange of thermal energy.
- carbon dioxide concentration in the atmosphere has huge roles.
The greenhouse effects results from the abundance of greenhouse gases in the atmosphere. These gases are able to prevent long wave solar radiation from leaving the surface of the earth. When the gases interacts with the radiation, it produces heat that warms the earth surface. Examples of these gases are carbon dioxide, methane, water vapor e.t.c.
The warming of the surface helps to free freshwater trapped as ice and keeps it in the liquid form throughout.
In this exchange of energy, there is a balance between the amount of heat absorbed and radiated back into the atmosphere. As energy enters the earth, it is also radiated out into space. This helps to keep the earth temperature in balance.
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Resulting factors are called Second-order factors
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What is factor analysis?</h3>
- Factor analysis is a statistical approach for describing variability in seen, correlated variables in terms of a possibly smaller number of unobserved variables known as factors.
- It is possible, for example, that fluctuations in six known variables mostly reflect variations in two unseen (underlying) variables.
- Factor analysis looks for such joint fluctuations in response to latent variables that are not noticed.
- Factor analysis may be regarded of as a specific form of errors-in-variables models since the observed variables are described as linear combinations of the possible factors plus "error" terms.
- It may help to deal with data sets where there are large numbers of observed variables that are thought to reflect a smaller number of underlying/latent variables.
- It is one of the most commonly used inter-dependency techniques and is used when the relevant set of variables shows a systematic inter-dependence and the objective is to find out the latent factors that create a commonality.
To Learn more about factor analysis from the given link
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Answer: Biochemical engineers conduct studies on cells, proteins, viruses, or other biological substances to determine optimal conditions for growth or inhibitors that can stop or kill. They develop and conduct experiments to observe interactions of raw materials with each other and in specific environments.
Explanation: Hope this helps :)