Answer:
C. 3;4
Explanation:
A cover letter is sent together with the resume to a potential employer. It details the job an applicant is applying for and their qualification for the position. The cover letter allows the applicant to elaborate on their skills and experiences in relation to the position sought after.
The cover letter is a perfect way to create an excellent first impression on the employer. It should be about three to four paragraphs long.
Answer:
d.$1,685
Explanation:
Though many jobs were completed, but only Job 356 and 357 were sold.
Cost of Goods Sold = cost of job 356 +cost of job 357
= $450 + $1,235
= $1,685
<span>You are using M-Commerce (Mobile Commerce).
It is a
type of e-commerce that can be handled from a mobile phone, a PDA or smartphone
The first M-Commerce was launched in 1997, and since then its use has become
widely spread worldwide. There are different payment methods to choose from,
such as: contactless payment, credit cards and debit cards, micropayment
services, and stored-value cards</span>
Answer:
The following scenarios are either not accounted for or measured inaccurately by either the income or the expenditure methods of calculating GDP for the United States
B) The costs of overfishing and other overly intensive uses of resources.
C) The value of baby-sitting services, when the babysitter is paid in cash and the transaction isn't reported to the government.
D) The leisure time enjoyed by Americans
Explanation:
GDP is a tool that is used to measure a nation's economic performance, However, it has limitations due to its exclusion of non-market transactions.
- The limitations identified can be summarized as:
- GDP does not incorporate any measures of welfare.
- GDP only includes market transactions.
- GDP does not describe income distribution.
- GDP does not describe what is being produced.
- GDP ignores externalities.
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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