ANSWER
Always state the facts pertaining to your speech.
Always avoid stereotypes during a speech.
Never bash or be bias.
Remain objective.
Have respect for the people and their values as well as beliefs .
Explanation:
Answer:
Structural unemployment
Explanation:
James is going throughout a non voluntary unemployment because there is a "gap" between his skills and the market demanded skills. To minimize this gap, James should improve his skills sets, or take a job with less requirements
Answer:
The correct answer is C) Point of execution of a mission or task
Explanation:
The critical period is a limited time where an event can occur, and that results in some kind of transformation. For this reason, when identifying a risk, for example, it can be determined as the main point where a specific task is started to try to solve some problem.
Answer:
c) $13,000.
Explanation:
Using the accounting equation;
Assets - liabilities = Owners' equity
Owners' equity is usually made up of the common stock and the retained earnings.
Therefore, given;
Assets = $50,000
Liabilities = $22,000
Owners' equity = $50,000 - $22,000
= $28,000
Owners' equity = Retained earnings + common stock
Retained earnings = $28,000 - $15,000
= $13,000
Amount for retained earnings is $13,000.
In addition to prototyping, Powder Bed Fusion (PBF) AM processes have lately been more widely used to manufacture end-use parts. These changes lead to necessity of higher requirements to quality of a final product. Optimization of process parameters is one of the ways to achieve desired quality of a part.
In addition to prototyping, Powder Bed Fusion (PBF) AM processes have lately been more widely used to manufacture end-use parts. These changes lead to necessity of higher requirements to quality of a final product.
Optimization of process parameters is one of the ways to achieve desired quality of a part. Finite Element Method (FEM) and machine learning techniques are applied to evaluate and optimize AM process parameters. While FEM requires specific information, Powder Bed Fusion Machine Learning is based on big amounts of data. This paper provides a conceptual framework on combination of mathematical modelling and Machine Learning to avoid these issues.
Learn more about Powder Bed Fusion here
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