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Svetach [21]
3 years ago
14

Which key serves as both toggle and manipulative key

Computers and Technology
2 answers:
Ksenya-84 [330]3 years ago
8 0
Picture ? is needed
bogdanovich [222]3 years ago
7 0

Answer:

wheres the picture?

Explanation:

I need a picture 2 answer

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The alveolar walls and the pulmonary capillaries form the:
Murrr4er [49]

Answer:

D. respiratory membrane

Explanation:

The "alveolar walls" and the "pulmonary capillaries" are part of the <em>Respiratory System</em> of the human body. They form the respiratory membrane/respiratory surface (a very thin layer), which makes the exchange of gases possible. It functions by <u>separating the air from the blood</u>. This enables oxygen to enter our body and for carbon dioxide to go out of the body. It makes the gas exchange efficient and fast. This movement is called <em>"diffusion."</em>

7 0
3 years ago
Using data from a tal distribution database, define a view named toplevelcust. it consists of the number, name, address, balance
valentina_108 [34]
A) CREATE TABLE toplevelcust (number INTEGER PRIMARY KEY, <span> name TEXT, address TEXT, balance DOUBLE, credit DOUBLE</span>);

b) select number, name, credit - balance from toplevelcust

c) This I cannot answer
7 0
4 years ago
Read 2 more answers
(ACCESS 2016)
galben [10]

Explanation:

rowCount() returns the number of rows affected by the last DELETE, INSERT, or UPDATE statement executed by the corresponding PDOStatement object.

7 0
3 years ago
Read 2 more answers
Can someone please tell me what I’m doing wrong ? Please and it’s due on Thursday!!
liberstina [14]

Answer:

Sure. In Unit test 5, it's looking for 1 instead of 0. You are returning 0 instead of 1.

0 requires 1 digit to express it and should therefore return 1.

In line 6, change the 0 to a 1.

8 0
2 years ago
Suppose that a computer can run an algorithm on a problem of size 1,024 in time t. We do not know the complexity of the algorith
Setler79 [48]

Answer:

Time Complexity of Problem - O(n)

Explanation:

When n= 1024 time taken is t. on a particular computer.

When computer is 8 times faster in same time t , n can be equal to 8192. It means on increasing processing speed input grows linearly.

When computer is 8 times slow then with same time t , n will be 128 which is (1/8)th time 1024.

It means with increase in processing speed by x factor time taken will decrease by (1/x) factor. Or input size can be increased by x times. This signifies that time taken by program grows linearly with input size n. Therefore time complexity of problem will be O(n).

If we double the speed of original machine then we can solve problems of size 2n in time t.

5 0
4 years ago
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