Answer:
the author makes an emotional connection between you and the character
Explanation:
short version:you feel the characters emotion
Answer:
Transducer is a type of device that converts one type of signal into another.
Answer:
Hi Riahroo! This is a good question on the concept of relational databases.
We can normalize the relations as follows:
Flight
(flightnumber (unique), flighttime, airline_id, departure_city, arrival_city, passenger_id, pilot_id, airplane_id)
has_one_and_belongs_to :airline
has_many :passengers
has_one :pilot
Itinerary(passenger_id, flight_id)
Belongs_to
Passenger_details
(passengername (unique), gender, date_of_birth)
has_many :flights
Pilot
(pilotname (unique), gender, date_of_birth)
has_many :flights
airline(airlinename)
airplane(planeID, type, seats))
Explanation:
To normalize a relation, we have to remove any redundancies from the relationships between database objects/tables and simplify the structure. This also means simplifying many-to-many relationships. In this question, we see there is a many-to-many relationship between flights and passengers. To resolve this we can introduce a join table which simplifies this relationship to a one-to-many between the objects.
Yes, because it keeps all your data organized and allows you to see the trend and growth of your data by automatically creating different types of charts and graphs to help you visualize your data.
Hope that helps!
Answer:
A)
This is an example of tight coupling since the class Working has to have an idea of how Person is implemented to complete its own implementation.
B)
Any change in the Person class would require a change in the working class too.
C)
CODE
class Person {
int personID, age;
String fName, middleName, lastName;
public int getAge() {
return age;
}
}
// end of Person class
class Working extends Person {
boolean isUnderEighteen() {
if (super.getAge() <18) {
System.out.println("The person is under age and cannot work");
return true;
}
else {
System.out.println("The person can legitimately work");
return false;
}
}
}
Explanation:
