Step 1: Find the transpose of matrix \(A\).
Given,
\[
A=
\begin{bmatrix}
2 & -3\\
-4 & 1
\end{bmatrix}
\]
Therefore,
\[
A^T=
\begin{bmatrix}
2 & -4\\
-3 & 1
\end{bmatrix}
\]
Step 2: Calculate \((A^T)^2\).
We compute
\[
(A^T)^2=A^T \cdot A^T
\]
So,
\[
(A^T)^2=
\begin{bmatrix}
2 & -4\\
-3 & 1
\end{bmatrix}
\begin{bmatrix}
2 & -4\\
-3 & 1
\end{bmatrix}
\]
Multiplying the matrices,
First row first column:
\[
(2)(2)+(-4)(-3)=4+12=16
\]
First row second column:
\[
(2)(-4)+(-4)(1)=-8-4=-12
\]
Second row first column:
\[
(-3)(2)+(1)(-3)=-6-3=-9
\]
Second row second column:
\[
(-3)(-4)+(1)(1)=12+1=13
\]
Hence,
\[
(A^T)^2=
\begin{bmatrix}
16 & -12\\
-9 & 13
\end{bmatrix}
\]
Step 3: Calculate \((12A)^T\).
First,
\[
12A=
\begin{bmatrix}
24 & -36\\
-48 & 12
\end{bmatrix}
\]
Taking transpose,
\[
(12A)^T=
\begin{bmatrix}
24 & -48\\
-36 & 12
\end{bmatrix}
\]
Step 4: Add the two matrices.
Now,
\[
(A^T)^2+(12A)^T
=
\begin{bmatrix}
16 & -12\\
-9 & 13
\end{bmatrix}
+
\begin{bmatrix}
24 & -48\\
-36 & 12
\end{bmatrix}
\]
Adding corresponding entries,
\[
=
\begin{bmatrix}
16+24 & -12-48\\
-9-36 & 13+12
\end{bmatrix}
\]
\[
=
\begin{bmatrix}
40 & -60\\
-45 & 25
\end{bmatrix}
\]
Step 5: Final conclusion.
Therefore,
\[
\boxed{
\begin{bmatrix}
40 & -60\\
-45 & 25
\end{bmatrix}
}
\]
which corresponds to option (4).