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where i k = i k-1+ 5k.
for i k ∈I.
Then, to achieve (21), we design the precoding matrices P by a block-wise orthogonal matrix defined as P = I K I K I K I K I K − I K I K − I K I K I K − I K − I K I K − I K − I K I K. (23).
Let x ∈ I k.
for p k ∈ Q k c, where a = s k i k (I k -I k′), b = i k (I k′ - I k ), and c = I k ′ 2 - I k 2. By solving the quadratic Equation in (22), we see that if p k ≥ δ k ≜ i k + i k 2 + s k i k ( I k + I k ′ ) s k i k, (23).
Set: T x i k = max ( N i k ( 1 ).
Similar(8)
(i) k-Nearest Neighbor (kNN).
That is, we take the feature vectors from F(i − k), F(i − k + 1), …, F i), …, F(i + k − 1), F(i + k) as the final input features for residue i.
Nq = I / k.
The diagonal elements D ik (i = k) are not defined.
where k i = k !
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com