Answer:
See the code snippet below
Explanation:
import java.util.Scanner;
public class LabProgram{
public static void main(String[] args){
Scanner scan = new Scanner(System.in);
System.out.println("Please enter first number: ");
int firstNumber = scan.nextInt();
System.out.println("Please enter second number: ");
int secondNumber = scan.nextInt();
maxMagnitude(firstNumber, secondNumber);
}
public static int maxMagnitude(int firstValue, secondValue){
System.out.println(Math.max(firstValue, secondValue));
}
}
<span>Spreading Activation
This is a model of working memory, which can be otherwise called here and now memory in lay man's term, that tries to clarify how the mind forms related thoughts, particularly semantic or verbal ideas. The spreading enactment show is one way intellectual clinicians clarify the preparing impact, which is the noticeable wonder that a man can all the more rapidly review data about a subject once a related idea has been presented. As indicated by this model, semantic long haul memory comprises of a huge, interrelated system of ideas. At the point when a man is given any idea, the ideas most firmly associated with it are initiated in that individual's psyche, getting ready or "preparing" him or her to review data identified with any of them</span>
Well if your talking about physically you could get some compressed air and blow it out. Or if your talking about performance you could try to re-install the os you have on it or replace the hdd with a ssd or higher performance hard disk for it to run like new. :)
Answer: i dont know but have an great day
Explanation:
Answer:
My two arguments against the proposal are based on physical side effects and background noise interference.
Explanation:
To start with physical side effects, the use of speech recognition technology might make users experience physical discomfort. This is due to the fact that users who interact with the system by speaking for a long period would experience dry mouth, temporary loss of voice, vocal problems and muscle fatigue. In addition, the fact that users would always speak in an unnatural way to make the system interpret commands effectively could lead to voice strain.
Also, users need to be in a quiet environment before they can get the best out of speech recognition technology. This is because background noise can interfere with commands and create a mix-up which the system cannot interpret. In other words, when an environment is noisy, speech recognition technology would find it difficult to differentiate between users voice and background noise.
