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General expressions are given for a rather broad class of models, whereas a simple model is studied in detail.
A spatial Markov chain model may be viewed as a special case of Markov mesh models, whereas a Markov mesh model is an extension of spatial Markov chain models, called a generalized spatial Markov chain model.
Whether previous knowledge is considered in the steps of text representation and analysis makes a major difference: A pure machine learning approach relies on probabilistic models, whereas a knowledge-based approach involves "existing knowledge resources" such as pre-defined ontologies or training data [74].
The purpose of their making such a misleading definition appeared later at the end of this section, where Huang et al. (2016a) stated that "A spatial Markov chain model may be viewed as a special case of Markov mesh models, whereas a Markov mesh model is an extension of spatial Markov chain models, called a generalized spatial Markov chain model".
It is not yet clear why IL-1 is such a dominant target in IC- and T cell-driven murine arthritis models, whereas a crucial role for IL-1 in auto-immune RA in humans is still questionable or even unlikely.
No relevant changes in cell viability were observed between si CHKA and control cells, being >95% cells viable in all analysed models, whereas, a 35 38% reduction in the S-phase BrdU incorporation, proportional to growth inhibition, was determined in both siCHKA cells.
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For example, increasing median flock size was identified as a strong risk factor in all six models, whereas an all-in-all-out policy was not a significant predictor in any of the models.
Deletion of PS1 and/or PS2 activates Erk1/2 activity in cell line models, whereas an early onset FAD mutation in PS1 results in constitute activation of CREB-phosphorylation which is associated with neurodegeneration [ 64– 67] and BACE1 regulates the cAMP/PKA/CREB pathway independent of A β [ 68].
Shocks were also modeled as events, whereas A and B blocks were modeled as 2 separate boxcar regressors (0 for off and 1 for on).
Good scores were obtained with the performance measure 'percentage of correctly fuzzy classified instances' for the 12 corresponding N- and P-models, whereas the A- and C-models showed a low to moderate performance.
The hysteretic behavior of each layer (hemp concrete and plasters) is included in the modeling whereas a perfect hygrothermal contact is assumed between each layer.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com