to distinguish the phases by optical microscopy. The process was also accomplished by scanning electron microscopy with the objective of analyzing the active mechanisms of fracture and transmission electron microscopy with the aim of determining the dislocation substructures formed during the fatigue test

on molecular graphs, little effort has been spend on characterizing their performance. Therefore, it is not clear how current substructure search algorithms behave on such special graphs. One of the main reasons why such an evaluation was not performed in the past was the absence of appropriate data sets

to describe operational semantics, we could use the term linear operational semantics to describe this technique. It turns out that other substructural logics, like ordered logic [PS09] or affine logic are often more appropriate, so we refer to it more generally as substructural operational semantics [Pfe04

developed index I. Based on a relation between the index I and the Dunn’s index, a lower bound of the value of the former is theoretically estimated in order to get unique hard K-partition when the data set has distinct substructures. The effectiveness of the different validity indices and clustering

to be appropriate to this. We utilise string-objects to carry information about protein binding domains and their ligands. Embedding these string-objects into a deterministic graph structured P system with dynamical behaviour, we introduce a model that can de-scribe cell signalling pathways on a submolecular level

this paper an algebraic substructuring preconditioner is considered for nonconforming finite element approximations of second order elliptic problems in 3D domains with a piecewise constant diffusion coefficient. Using a substructuring idea and a block Gauss elimination part of the unknowns

models, that any individual within a patch can interact with any other individual of the patch may not always be appropriate. For example, in social species where the size of the social group home range is much smaller than the average patch size, individuals in a social group from one part of the patch

The fine-scale assessment of both spatially and non-spatially distributed genetic variation is crucial to preserve forest genetic resources through appropriate forest management. Cryptic within-population genetic structure may be more common than previously thought in forest tree populations, which

in dynamic substructuring. It consists in constructing a reduced-order model using the free-interface elastic modes of the two main substructures and, for the linking substructure, an appropriate frequency-independent elastostatic lifting operator and the frequency-dependent fixed-interface vector basis.

various probabilistic models. The main challenge of this paper is the multilevel probabilistic model (the Bayesian Metanetwork), which is an extension of traditional Bayesian networks. The extra level(s) in the Metanetwork is used to select the appropriate substructure from the basic network level based