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In recent years, the non-petroleum production of light olefins has been the research focus of Fischer–Tropsch olefin synthesis (FTO). Iron-based catalysts have attracted much attention because of their low price, high catalytic activity, and wide ...
Yuan Wen +5 more
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The Consistency Argument for Ranking Functions [PDF]
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On the relation between length functions and exact Sylvester rank functions
Inspired by the work of Crawley-Boevey on additive functions in locally finitely presented Grothendieck categories, we describe a natural way to extend a given exact Sylvester rank function on the category of finitely presented left modules over a given ...
Virili Simone
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Nonconvex Low Tubal Rank Tensor Minimization
In the sparse vector recovery problem, the L0-norm can be approximated by a convex function or a nonconvex function to achieve sparse solutions. In the low-rank matrix recovery problem, the nonconvex matrix rank can be replaced by a convex function or a ...
Yaru Su, Xiaohui Wu, Genggeng Liu
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Entropic Weighted Rank Function
It is known that the entropy function over a set of jointly distributed random variables is a submodular set function. However, not any submodular function is of this form. In this paper, we consider a family of submodular set functions, called weighted rank functions of matroids, and study the necessary or sufficient conditions under which they are ...
Mohammad Rashid +2 more
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Ranking functions and rankings on languages
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Mepazine Inhibits RANK-Induced Osteoclastogenesis Independent of Its MALT1 Inhibitory Function
Mucosa-associated lymphoid tissue lymphoma translocation protein 1 (MALT1) is an intracellular cysteine protease (paracaspase) that plays an integral role in innate and adaptive immunity.
Laura Meloni +6 more
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Detecting the Number of States in Raw Trajectories
In this paper, we present a simple method to detect the number of states in a stochastic trajectory. The method quantifies the degree of correlations in stochastic trajectories, computes the correlation function with two variables (the three-point ...
Ophir Flomenbom
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Hyperspectral Image Recovery Model Based on Bi-smoothing Function Rank Approximation andGroup Sparse [PDF]
Hyperspectral image(HSI) has good spectral recognition capabilities and is widely used in various fields.However,HSI is susceptible to mixed noise pollution during imaging,which will seriously weaken the accuracy of subsequent tasks,and how to recover ...
JIANG Bin, YE Jun, ZHANG Lihong, SI Weina
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