Answer:
<em>One of the biggest dangers concerning the manipulation of our natural needs by advertisers is with </em><em><u>prescription</u></em><em><u> </u></em><em><u>drugs</u></em>
Explanation:
<em>Prescription</em><em> - a drug that can be obtained by means of a physician's prescription </em>
Answer:
Providing a subsidy to correct for an underallocation of resources.
Explanation:
In Economics, subsidy can be defined as the amount of money or benefits such as tax reduction given by the government to sellers in order to sustain production and enable the buy to continuously purchase the product.
If the production of a product or service involves external benefits, then the government can improve efficiency in the market by providing a subsidy to correct for an underallocation of resources such as capital, land and labor used for production of these products.
Answer:
planning; marketing plan
Explanation:
The planning phase is the second phase of any activity. It is basically made after analysis of all the problems and opportunities.
Planning phase basically aims at organizing the techniques for achieving the aims. This aims for planning phase to achieve the sales and set targets for gaining maximum performance in marketing. This sets all the strategies and policies for marketing.
Answer:
$1,83,000
Explanation:
Sales = 4,535,000
Cost of goods sold = $2,560,000
Operating expenses = $1,382,000
Average total assets = $4,110,000
Net Income = Sales - Cost of goods sold - Operating expenses
= $4,535,000 - $2,560,000 - $1,382,000
= $5,93,000
Target income = 10% of Average total assets
= 0.10 × $4,110,000
= $410,000
Thus,
Residual income = Net income - Target income
= $5,93,000 - $410,000
= $1,83,000
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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