The statement that Surface-level diversity refers to differences such as age, gender, race/ethnicity, and physical disabilities that are observable, typically unchangeable, and easy to measure is a True statement.
Diversity refers to the state of a region where people from different cultures, social background, religion live together and do not share their differences, instead they live with peace by learning each others culture and religion. Surface level diversity is a type of diversity in which the parameters of diversity such as age, race, physical disabilities are easily observable. The situations arising due to these differences at different places of work make a person feel very uncomfortable and they feel as if they are not from this world.
They start doubting their worth and their self-confidence falls down. These types of activities are l\known as surface level activities. These activities should be prevented as the basic idea of Diversity is that the people coming from different backgrounds are not treated different, instead they are treated with respect.
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Complete Question:
Surface-level diversity refers to differences such as age, gender, race/ethnicity, and physical disabilities that are observable, typically unchangeable, and easy to measure.
True
False
Answer:
1. Lack of recycling.
Littering.
Release of harmful substances.
2. Volunteer at centers that help improve the environment.
Picking up the litter on the floor.
Sorting what things should be recycled.
3. People are mostly affected when they live in places where the trash is been dumped. For example, slums, most of our trash can be found in slums and landfills.
Explanation:
Answer:
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Explanation:
Assessment is pretty much done at the beginning of a crisis and is a one-shot affair.
What is static behavior?
In many cases, measurements can only be made while a system is stable (i.e., at equilibrium), as changes in the system are frequently too rapid to be detected and would invalidate the data collected. When based solely on empirical data from measurements, models of these systems are frequently purposefully restricted to the behavior of the system at that stationary point and omit the more dynamic components of a systems behavior. A bioreactor serves as a typical illustration because it is obvious that it is built to run around an equilibrium point that offers the best possible environment for the microorganisms inside the reactor. It is possible to limit the model required to operate the reactor during production to the equilibrium of ideal growth circumstances and ignore other factors, such as startup.
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