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Exact(5)
In Chapter 4, Medin and Atran put into discussion this model and strongly criticize its supposed definition as a "standard" or "basic" model of biological reasoning.
These experiments ultimately confirmed the threshold mechanism suggested by the model and strongly supported the role of c-FLIP as a guardian of the threshold of extrinsic apoptosis.
Our data in human GBM were highly recapitulated in the preclinical GBM model and strongly suggest the involvement of angiopoietin signaling in the remodeling of the tumor environment, potentially by supporting several key events that not only include angiogenesis and vascular destabilization but additionally imply the infiltration and/or reeducation of TAMs, combined with immunosuppression.
This analysis does not support the turnover model and strongly suggests that a much higher rate of DNA loss in fish than in mammals is responsible for the relatively small number of nLTR-RT copies and for the scarcity of ancient elements in fish genomes.
Expression of COX-2 in the osteolytic bone metastasis model was also examined using immunohistochemistry. PC-3 cells formed solid tumour within the bone microenvironment in this tumour model, and strongly expressed COX-2 at the periphery of the tumour adjacent to the bone.
Similar(55)
Furthermore, in the case of two newer models, we suggest corrections for these models and strongly recommend the use of two modeling tools, in our case Copasi and Matlab, as a standard approach.
From the early 1970s until the mid-1980s, the government radically altered the education system, which was previously structured on British models and strongly influenced by the Roman Catholic Church.
The answers to these issues influence the nature of our predictive models and strongly effect our ability to engineer fast fluidized beds.
For example, non-redundant descriptors, selected in most of the models and strongly correlated with the target property can be easily identified in Gp by detecting the bigger and darker nodes connected between each other with light-colored links.
Beliefs about what causes a particular problem or risk will represent important elements of peoples explanatory models and strongly influence what type of treatment is sought, when, from where, or if additional assistance is sought at all.
In contrast, the M m s B a y e s model is very sensitive to model violations, and strongly over-estimates the probability of the one-divergence model whenever the model is misspecified.
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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