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Novay_Z [31]
3 years ago
15

How acid rain pollution will affect the food chain

Computers and Technology
2 answers:
Lunna [17]3 years ago
6 0

Answer:lgbtq community

Explanation:

babunello [35]3 years ago
3 0

Explanation:

Acid rain can cause serious problems for many different animals and plants. As a result, the entire food web is affected. For example, acid rain can cause phytoplankton in lakes to die. Insects, which rely on phytoplankton for food, now have less food to eat, and they begin to die as a result.

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Draw a flowchart or write pseudocode to represent a program's logic that allows the user to enter a value. The program multiplie
PIT_PIT [208]

Ill choose flowchart. Look picture for the answer

ask me if you have any doubts about my answer.

5 0
2 years ago
In programming, what is a string?
vovikov84 [41]

Answer:

B.

Explanation:

A. is not the correct answer because that is called a LAN cable (ethernet)

C. is not correct because it has nothing to do with text messages or printing

D. is called a Bus, and isn't the right answer either

3 0
3 years ago
Read 2 more answers
[1] Please find all the candidate keys and the primary key (or composite primary key) Candidate Key: _______________________ Pri
AVprozaik [17]

Answer:

Check the explanation

Explanation:

1. The atomic attributes can't be a primary key because the values in the respective attributes should be unique.

So, the size of the primary key should be more than one.

In order to find the candidate key, let the functional dependencies be obtained.

The functional dependencies are :

Emp_ID -> Name, DeptID, Marketing, Salary

Name -> Emp_ID

DeptID -> Emp_ID

Marketing ->  Emp_ID

Course_ID -> Course Name

Course_Name ->  Course_ID

Date_Completed -> Course_Name

Closure of attribute { Emp_ID, Date_Completed } is { Emp_ID, Date_Completed , Name, DeptID, Marketing, Salary, Course_Name, Course_ID}

Closure of attribute { Name , Date_Completed } is { Name, Date_Completed , Emp_ID , DeptID, Marketing, Salary, Course_Name, Course_ID}

Closure of attribute { DeptID, Date_Completed } is { DeptID, Date_Completed , Emp_ID,, Name, , Marketing, Salary, Course_Name, Course_ID}

Closure of attribute { Marketing, Date_Completed } is { Marketing, Date_Completed , Emp_ID,, Name, DeptID , Salary, Course_Name, Course_ID}.

So, the candidate keys are :

{ Emp_ID, Date_Completed }

{ Name , Date_Completed }

{ DeptID, Date_Completed }

{ Marketing, Date_Completed }

Only one candidate key can be a primary key.

So, the primary key chosen be { Emp_ID, Date_Completed }..

2.

The functional dependencies are :

Emp_ID -> Name, DeptID, Marketing, Salary

Name -> Emp_ID

DeptID -> Emp_ID

Marketing ->  Emp_ID

Course_ID -> Course Name

Course_Name ->  Course_ID

Date_Completed -> Course_Name

3.

For a relation to be in 2NF, there should be no partial dependencies in the set of functional dependencies.

The first F.D. is

Emp_ID -> Name, DeptID, Marketing, Salary

Here, Emp_ID -> Salary ( decomposition rule ). So, a prime key determining a non-prime key is a partial dependency.

So, a separate table should be made for Emp_ID -> Salary.

The tables are R1(Emp_ID, Name, DeptID, Marketing, Course_ID, Course_Name, Date_Completed)

and R2( Emp_ID , Salary)

The following dependencies violate partial dependency as a prime attribute -> prime attribute :

Name -> Emp_ID

DeptID -> Emp_ID

Marketing ->  Emp_ID

The following dependencies violate partial dependency as a non-prime attribute -> non-prime attribute :

Course_ID -> Course Name

Course_Name ->  Course_ID

So, no separate tables should be made.

The functional dependency Date_Completed -> Course_Name has a partial dependency as a prime attribute determines a non-prime attribute.

So, a separate table is made.

The final relational schemas that follows 2NF are :

R1(Emp_ID, Name, DeptID, Marketing, Course_ID, Course_Name, Date_Completed)

R2( Emp_ID , Salary)

R3 (Date_Completed, Course_Name, Course_ID)

For a relation to be in 3NF, the functional dependencies should not have any transitive dependencies.

The functional dependencies in R1(Emp_ID, Name, DeptID, Marketing, Date_Completed) is :

Emp_ID -> Name, DeptID, Marketing

This violates the transitive property. So, no table is created.

The functional dependencies in R2 (  Emp_ID , Salary) is :

Emp_ID -> Salary

The functional dependencies in R3 (Date_Completed, Course_Name, Course_ID) are :

Date_Completed -> Course_Name

Course_Name   ->  Course_ID

Here there is a transitive dependency as a non- prime attribute ( Course_Name ) is determining a non-attribute ( Course_ID ).

So, a separate table is made with the concerned attributes.

The relational schemas which support 3NF re :

R1(Emp_ID, Name, DeptID, Course_ID, Marketing, Date_Completed) with candidate key as Emp_ID.

R2 (  Emp_ID , Salary) with candidate key Emp_ID.

R3 (Date_Completed, Course_Name ) with candidate key Date_Completed.

R4 ( Course_Name, Course_ID ).  with candidate keys Course_Name and Course_ID.

6 0
3 years ago
What are the main advantages of the d-step tuning of 2023 murano’s xtronic cvt®?.
DedPeter [7]

The main advantages of the d-step tuning of 2023 Murano's xtronic cvt is that:

  • It gives room for the transmission to quickly change ratios in regards to quick acceleration.
  • When at higher rpm, it help one to stepped acceleration via the use of linear acceleration feel.

<h3>What kind of transmission does a Nissan Murano have?</h3>

It is known to have a continuously variable automatic transmission (CVT) and it is one whose only engine is said to give about a 3.5-liter V-6 that helps to bring about a lot of power.

Note that the main advantages of the d-step tuning of 2023 Murano's xtronic cvt is that:

  • It gives room for the transmission to quickly change ratios in regards to quick acceleration.
  • When at higher rpm, it help one to stepped acceleration via the use of linear acceleration feel.

Learn more about cars from

brainly.com/question/25749514

#SPJ1

6 0
2 years ago
4. What is the formula for calculating the file size?
Verizon [17]
Step 2: Multiply total number of pixels by the bit depth of the detector (16 bit, 14 bit etc.) to get the total number of bits of data. Step 3: Dividing the total number of bits by 8 equals the file size in bytes. Step 4: Divide the number of bytes by 1024 to get the file size in kilobytes.
7 0
3 years ago
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