Answer:
For Jerry, the opportunity cost of building a fence is not making 2 dishes.
Explanation:
The opportunity cost refers to the benefit you lose when you choose one option over another one. In this case, the opportunity cost for Jerry when he decides to build fences is that he won't be able to make dishes. So, as he can build 7 fences or make 14 dishes in a day, the opportunity cost of building a fence is that he won't be able to make 2 dishes.
Small number is three and large number is four
Answer: c. identify an area of knowledge or an issue that deeply interests you. conduct a thorough, objective research.
Explanation:
You would write better on any subject where you have an area of knowledge or that which interests you greatly, this is due to the fact that your knowledge gives you an added advantage in writing the subject, you would have had an underlying foundational knowledge which you just need to build on by research and having an objective for the topic. So, having an interest and knowledge in a topic is the first strategy to note when writing a topic.
The given statement, "The board of directors oversees and ratifies strategic decisions and evaluates, rewards, and, if necessary, penalizes top managers" is true
<u>Explanation:
</u>
A board of directors is a team of experts elected by stockholders of a company to serve the interest of the stockholders and ensure that the company management behaves on their behalf. The Chairperson or Chairman of the Board is the head of the Board of Directors.
The board of directors supervises and ratifies strategic decisions as intermediaries between the owners and managers and reviews, awards and, if required, punishes top management.
These includes the following,
- Composition
- Leadership structure
- Interlocks
The Board decides on the employment and recruitment of employees, share price measures, payments, and employee compensation.
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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