B. Inflation
Inflation is when a country prints too much money, therefore decreasing the value of the currency.
Answer:
the maximum price the investor would be willing to pay for a share of Spencer Co. common stock today is $86.27
Explanation:
The computation of the maximum price the investor would be willing to pay for a share of Spencer Co. common stock today is shown below:
Expected dividend is
= $3 × 6.2469
= $18.7407
Now the market value is
= $135 × 0.5002
= $67.527
So, the maximum price is
= $18.7407 + $67.527
= $86.27
hence, the maximum price the investor would be willing to pay for a share of Spencer Co. common stock today is $86.27
Answer:
Home-group sharing
Explanation:
The Home-group is a group of Windows computers and devices connected to the same LAN or local area network, that can share content and connected devices with each other. For instance, computers that are part of the same Home-group can share pictures, music, videos, documents and printers with each other.
The Home-group is a feature that was first introduced in Windows 7 and is also present in Windows 8.1 and in Windows 10.
The idea behind the Home-group is simple: to provide an easy way for sharing libraries, folders and devices on small networks such as that from your home. Accessing stuff that's shared with the Home-group is easy and doesn't require users to type in usernames and passwords.
Enough to buy a Mercedes Benz.
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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