In this paper, we derive the unitary transformation that relates the qq chiral basis {R;IJ PC} to the {I; 2S+1L J}-basis in a front-form framework. From the most general expression for the Clebsch-Gordan coefficients of the Poincare group one can see that the chiral limit brings the ...
Signal decomposition refers to a method used in the study of individual motor units, where the objective is to identify the contributions of each unit within the overall acquired signal. This process involves several steps, including signal acquisition, segmentation, feature extraction, clustering of ...
Clearly, the only way T(z) can have the form cz−n0 is if both H10(z) and H11(z) are simple delays; that is, (14.109)H10(z)=h0z−k0 (14.110)H11(z)=h1z−k1. This results in (14.111)T(z)=2h0h1z−(2k0+2k1+1) which is of the form cz−n0 as desired. The res...
In addition to the tabular form, dg_plot() will create a rough plot of the adjusted rates, although this is really only useful when working with many populations, such as with time series data. dgnpop(eg.dg, pop = "pop", factors = c("alpha","beta")) |> dg_plot() Vector factors...
ARTICLE https://doi.org/10.1038/s41467-020-19323-6 OPEN Fast mode decomposition in few-mode fibers Egor S. Manuylovich 1,2✉, Vladislav V. Dvoyrin1,3 & Sergei K. Turitsyn 1,3 Retrieval of the optical phase information from measurement of intensity is of a high interest because this...
This paper presents a new class of multiple-follower bilevel problems and a heuristic approach to solving them. In this new class of problems, the follower
The Encyclopedia of DNA Elements (ENCODE) and the Roadmap Epigenomics Project seek to characterize the epigenome in diverse cell types using assays that identify, for example, genomic regions with modified histones or accessible chromatin. These efforts
Plant litter decomposition is a process enabling biogeochemical cycles closing in ecosystems, and decomposition in forests constitutes the largest part of
Even if we had the true μ(x) as our prediction function, and thus no bias or estimation variance, the minimum MSEY could not be reduced below the value of σϵ2. The second and third terms in (3) combine to form the MSE of μˆ(x;Str) for estimating μ(x): (4)MSEμ(x)...
The shortest paths are stored in such nodes. These local shortest paths together with the tree structure constitute the index of the graph. Based on this index, algorithms can be executed to solve the shortest path, as well as the kNN problem more efficiently. Our experimental results show ...