A systematic literature review (SLR) is a methodology used to find and aggregate all relevant existing evidence about a specific research question of interest. Important decisions need to be made at several points in ...
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To unveil how the brain learns, ongoing work seeks biologically-plausible approximations of gradient descent algorithms for training recurrent neural networks (RNNs). Yet, beyond task accuracy, it is unclear if such l...
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We consider the discrete-time quantum walk whose local dynamics is denoted by C at the perturbed region {0,1,·,M-1} and free at the other positions. We obtain the stationary state with a bounded initial state. Th...
We consider a regularization concept for the solution of ill–posed operator equations, where the operator is composed of a continuous and a discontinuous operator. A particular application is level set regularization...
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Since the quantum amplitude estimation (QAE) was invented by Brassard et al., 2002, several advanced algorithms have recently been published (Grinko et al., 2019, Aaronson et al, and Suzuki et al., 2020). The main dif...
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Cryo-electron microscopy (cryo-EM) has become a major experimental technique to determine the structures of large protein complexes and molecular assemblies, as evidenced by the 2017 Nobel Prize. Although cryo-EM has ...
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We study the topological entropy of hom tree-shifts and show that, although the topological entropy is not a conjugacy invariant for tree-shifts in general, it remains invariant for hom tree higher block shifts. In [1...
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In this paper we give complete descriptions of the set of square roots of certain classical operators, often providing specific formulas. The classical operators included in this discussion are the square of the unila...
Let α ∈ C be an exponential period. This paper shows that the real and imaginary part of α are up to signs volumes of sets definable in the o-minimal structure generated by Q, the real exponential function and sin|...
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Understanding how a stressor applied on a biological system shapes its evolution is key to achieving targeted evolutionary control. Here we present a toy model of two interacting lattice proteins to quantify the respo...
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