Determinants of do-not-resuscitate decision in terminally ill patients without cancer receiving palliative care consultation service: A retrospective study. [PDF]
Wu LF, Hung YW, Chang LF, Pan HH.
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Whole-genome phenotype prediction with machine learning: open problems in bacterial genomics. [PDF]
James T +3 more
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Pre-Dog-Leg: A Feature Optimization Method for Visual Inertial SLAM Based on Adaptive Preconditions. [PDF]
Zhao J +7 more
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The Core Competencies of Nurses Providing Home-based Palliative Care to Patients with Incurable Diseases: A Scoping Review. [PDF]
Ghaffarifar S, Behzadifar M, Heydari H.
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Bayesian approach for localizing cardiac sources in Magnetocardiography using Vectorcardiography based total variational priors. [PDF]
Bhat VR, Kotegar K, Anitha H.
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An open-access WebApp for inverse Laplace transform analysis of time-domain nuclear magnetic resonance signals. [PDF]
Moraes TB +5 more
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Convergence Rates for Ill-posed Inverse Problems with an Unknown Operator. [PDF]
Van Bellegem, Sébastien +2 more
core
Noise Models for Ill-Posed Problems
The standard view of noise in ill-posed problems is that it is either deterministic and small (strongly bounded noise) or random and large (not necessarily small). Following Eggerment, LaRiccia and Nashed (2009), a new noise model is investigated, wherein the noise is weakly bounded.
Eggermont, Paul N. +2 more
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Solutions of An Ill-Posed Stefan Problem
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On a Monotone Ill–posed Problem
Acta Mathematica Sinica, English Series, 2005Let \(X\) be a real reflexive Banach space with dual \(X^*\). Let \(A:X \rightarrow X^*\) be a nonlinear continuous monotone operator. In general, the equation \(Ax=f, \;f\in R(A)\), is ill-posed, i.e., its solutions do not depend continuously on \(f\).
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