Answer:
The answer is Stimulus generalization
Explanation:
Stimulus generalization is an example of classical condition. Classical conditioning takes a stimulus that does not cause a particular response (neutral stimulus) and then pairs it repeatedly with an unconditioned stimulus that will cause an unconditioned response. In the case of Stimulus generalization, I will give an example of a subject presenting food to a dog once they ring a bell. Lets say that you have taught a dog to salivate every time it hears a bell ring. If you took another bell that has a similar sound and rang it, the dog would still salivate and come pick its food. This is a perfect example of Stimulus generalization. The dog has responded to a new stimulus as if it was the initial conditioned stimulus.
"force per unit area" because pressure is force per unit area.
hope this helped
The answer to this question is a protocol.
Online Privacy is well, our privacy while on the internet. If they have repealed that, then we have no privacy while on the internet. I feel like now a days there is no privacy at all anywhere. Everywhere you go, there are cameras watching you. So for them to take away online privacy is pretty messed up.
Answer:
% here x and y is given which we can take as
x = 2:2:10;
y = 2:2:10;
% creating a matrix of the points
point_matrix = [x;y];
% center point of rotation which is 2,2 here
x_center_pt = x(2);
y_center_pt = y(2);
% creating a matrix of the center point
center_matrix = repmat([x_center_pt; y_center_pt], 1, length(x));
% rotation matrix with rotation degree which is 45 degree
rot_degree = pi/4;
Rotate_matrix = [cos(rot_degree) -sin(rot_degree); sin(rot_degree) cos(rot_degree)];
% shifting points for the center of rotation to be at the origin
new_matrix = point_matrix - center_matrix;
% appling rotation
new_matrix1 = Rotate_matrix*new_matrix;
Explanation:
We start the program by taking vector of the point given to us and create a matrix by adding a scaler to each units with repmat at te center point which is (2,2). Then we find the rotation matrix by taking the roatational degree which is 45 given to us. After that we shift the points to the origin and then apply rotation ans store it in a new matrix called new_matrix1.
