A 23-year-old man presented to the emergency department with thigh and flank pain. His medical history was unremarkable. Serum test results included the following: aspartate aminotransferase, 4007 U/L (reference interval, 11–47 U/L); alanine aminotransferase, 715 U/L (reference interval, 7–53 U/L); alkaline phosphatase, 67 U/L (reference interval, 38–126 U/L); lactate dehydrogenase, 6150 U/L (r...

The stabilization problems for time-delay stochastic systems with multiplicative noise in the control variable are investigated this paper. innovative contributions described as follows. Since past work on is based some delay-dependent algebraic Riccati equation (DARE), how to numerically calculate stabilizing solution remains an unsolved and open problem. On one hand, iterative algorithm compu...

Let H and Y be separable Hilbert spaces, and U finite dimensional. Let A ∈ L(H), B ∈ L(U,H), C ∈ L(H,Y ), D ∈ L(U, Y ), and suppose that the open loop transfer function D(z) := D+zC(I−zA)B ∈ H(D;L(U, Y )), where D is the open unit disk. We consider a subset of self adjoint solutions P of the discrete time algebraic operator Riccati equation (DARE)    APA− P + CJC = K PΛPKP , ΛP = D JD +BPB...

[1] We present a computationally efficient new method for simulating the interactions of large-scale atmospheric circulations with deep convection in a 3D cloud-resolving model. This is accomplished by reducing the scale difference between the large-scale and convective circulations. Our method, Diabatic Acceleration and REscaling (DARE), consists of accelerating all diabatic processes, reducin...

This paper presents various strategies for improving the extraction performance of less prominent relations with the help of the rules learned for similar relations, for which large volumes of data are available that exhibit suitable data properties. The rules are learned via a minimally supervised machine learning system for relation extraction called DARE. Starting from semantic seeds, DARE e...