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We consider the space of structures that fall between, at one extreme, a network in which every agent is connected to n nearest neighbours, and at the other extreme a network with each agent being connected to, on average, n randomly chosen agents.
Here, the RNAG sampler draws samples from the very high-dimensional space of structures and alignments.
We employed clustering analysis to characterize the overall shape of the posterior space of structures, and credibility limits to delineate uncertainty in predicted structures.
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One is the limited observability of the system variables, which does not provide enough information to discriminate among the different model structures in the space of model structures.
Such rules constrain possible energetic and geometric relationships between helices to be predicted, resulting in a reduced space of alternative structures and a potential improvement in secondary structure prediction.
Mfold also samples the suboptimal space of secondary structures, however it does not compute all possible structures and the sample is much smaller.
Recently, several sophisticated methods have been proposed for predicting the secondary structure with the maximum expected accuracy (MEA) over a space of possible structures.
Sommese generalized some construction by Blanchard and Calabi, obtaining [348] that the space of complex structures on a six dimensional real torus is not connected.
The aim of this study was to explore the space of causal structures involving bovine milk fatty acids and to select a network supported by data as the structure of a SEM.
Obviously the group of oriented diffeomorphisms of M acts on the space of complex structures, hence one can define in few words some basic concepts.
In addition, the space of generated structures can be constrained by the presence or absence of certain substructures, see Section "Mass spectral classifiers".
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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