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below Properties of Convex and Concave Functions Some common properties related to Concave and Convex Functions are: First Derivative Test for Convexity/Concavity A function f(x) is convex, If f(x) is non-decreasing i , we have: f(\lambda x_1 + (1-\lambda) x_2) \leq \lambda f(x_1) + (1-\lambda) f(x_2) Consider \( f(x) = x^2 \), then: f(\lambda x_1 + (1-\lambda) x_2) = (\lambda x_1 + (1-\lambda) x_2)^2 Expanding this expression: (\lambda x_1 + (1-\lambda) x_2)^2 = \lambda^2 x_1^2 + 2\lambda(1-\lambda)x_1x_2 + (1-\lambda)^2 x_2^2 On the other hand, we have: \lambda f(x_1) + (1-\lambda) f(x_2) = \lambda x_1^2 + (1-\lambda) x_2^2 Now, comparing both sides: \lambda^2 x_1^2 + 2\lambda(1-\lambda)x_1x_2 + (1-\lambda)^2 x_2^2 \leq \lambda x_1^2 + (1-\lambda) x_2^2 Since \ 2\lambda(1-\lambda) x_1 x_2 \geq 0 ,the inequality holds

Interpret mass-spectrometry charge states Moreover, peptides frequently appear as multiply protonated ions

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Then we used as input the inferred topic mixture at the current admission (say at time t ) to the RNN to auto-regressively predict the diagnostic codes at the next admission at time t + 1

Clinical observations reinforce these concerns

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