Answer:
c. Athletes
Explanation:
Based on the information provided within the question it can be said that you should target Athletes. This is because you are offering turmeric meal replacement bars as an alternative natural treatment. Out of all the answers provided Athletes are the ones who would be most interested in this since they need to consume natural food and meals in order to maintain their health and performance.
Answer:
The journal entry to be recorded for the payment of the note on date of maturity is shown below:
Explanation:
The journal entry to be recorded for the payment of the note on date of maturity is as follows:
Notes Payable A/c..........................Dr $9,000
Interest expense A/c......................Dr $148
Cash A/c..........................................Cr $9,148
Being payment of the note payable is reported on the maturity date
As on the day of the payment, the cash is going out of the business which means assets is decreasing and any decrease in assets is credited. Therefore, the cash account is credited. And the notes payable is paid so the notes payable account is debited and interest expense account will also be debited.
Working Note:
Interest expense = $9,000 × 10% × 60/ 365
Interest expense = $148
Answer:
decreasing marginal benefit.
Explanation:
A consumer measures the amount of satisfaction gained by consuming a product in making a buying decision.
When a person comes a product his satisfaction increases up to a point, and from that point as consumption increases the satisfaction derived reduces.
Consumption after this point is known as decreasing marginal benefit to the customer.
This affects the customer's willingness to buy more of this product. Patronage of lemonade will reduce as the customer looks for another product to satisfy his needs.
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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