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As no prior model of the distribution of words for a given segment is available, generalized probabilities are used.
The additional parameter p defines the relative position of e j for a given segment (overline {e_{0} e_{j}}) of the line l d,θ).
For a given segment along X axis direction, the motion of polishing tool center is uniform linear motion in segment C x [(x s,y)−(x e,y)].
where A r ∈ R + N × D r denotes the shared basis matrix for all segments {X(l),l=1,…,L}; A h ( l ) ∈ R + N × D h and E(l) denotes the individual matrix and the noise matrix for a given segment l, respectively.
Scattered substitutions, which usually accumulate in aDNA as a result of post-mortem spontaneous damage reactions were observed [36] [41], while consistent substitutions shared by all clones for a given segment were believed to represent the authentic ancient sequence.
The log2 ratio between a tumor and a reference was defined by the difference between the median log value of tumor counts and the median log value of reference counts for a given segment.
Similar(46)
We also propose methods for estimating the likelihood of a given segment and trajectory parameters.
Specifically, the (tissue dependent) expression value for a gene in a given segment is assumed to be the sum of a segment effect, which represents a regional effect on expression in a given tissue that influences all genes in the segment equally and represents shared regulation, and a gene-specific deviation, which reflects private regulation and 'noise' (stochastic or measurement).
If the individual property was used instead, all properties on a given segment would have exactly the same betweenness value: values are based on journeys, and for two adjacent properties on a given segment, the journeys which pass one property are exactly those which pass its neighbour.
Let us denote a whole chromosomal sequence of an organism by S, and s will denote a given segment of S. In order to assess whether s differs significantly from the rest of S, we need a measure of distance that can be used for quantitative comparison between the given segment s and any other segment s' of S not having any overlap with s.
Briefly, we combine measures of abnormal statistics and power spectral density distribution with measures of QRS-detection mismatches to provide an overall quality estimate (between 0 being poor and 1 being excellent) for any given segment of ECG.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com