Answer:
Blood fluid osmolarity.
concentrated urine.
Explanation:
If there is an increase in the osmolarity of blood fluid, there will be an increase in the production of ADH. Similarly, if there is a decrease in the osmolarity of blood fluid, there will be a decrease in the production of ADH. The presence of ADH in the blood stream will favor the creation of concentrated urine. However, if ADH is absent in the blood stream, there won't be any discrepancy in the concentration of urine.
If this budget is approved with no changes, the outcome is: The national debt will increase.
<h3>What is national debt?</h3>
National debt can be defined as the money a government of country or nation is owing or when government spending is greater that the revenue.
Hence, the correct option is B, because the federal government already has national debt of $12.6 trillion in which the congress has spending projection of $5.1 trillion while the expected tax revenue is $4.8 billion.
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n the top right hand corner of a message, click the drop-down menu button (upside down triangle), and select "block." (It appears with the name of the sender in quotes.) Any future messages from the blocked addresses will land in the spam folder.
The selection of the highest point on the production possibilities frontier is most likely to result in the largest increase in economic growth over time.
<h3>What is production possibility frontier?</h3>
Production possibility frontier shows that there limits on production and that a good will increase of there is a corresponding increase in another.
may increase only if the production of the other commodity decreases.
The two products or commodity will depend upon the resource for manufacturing.
Therefore, the selection of the highest point on the production possibilities frontier is most likely to result in the largest increase in economic growth over time
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Answer: Neural network
Explanation:
Completing the 'fill in the gap' question, we have:
At the end of its training, the NEURAL NETWORK is ready to go to work on new recognition problems that are similar to the training data but for which the answers are unknown.
Neural Networks are series of algorithms used for problems exactly like human brains and to study human cognition. Neural networks are used for simulating interconnected brain cells inside a computer to recognize and solve problems.
It was first invented by Frank Rosenblatt in the year 1958.
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