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Finally, we measured the correlation in predictions between the four methods by looking at the raw prediction scores (Tables 4 and 5).
(B ) We explored conditions for community ratio convergence ('Requirements for steady-state ratios in the six types of communities' in 'Materials and methods') by looking for the existence of stable steady states in which the two partners in an interaction neighborhood would reach identical fitness r ^ G − r ^ R = 0 (solid circles).
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The chapter also presents a different method by looking into the design of a neural network as an approximation problem in a high-dimensional space because data processing in a radial basis function neural network is quite different from standard supervised or unsupervised learning techniques.
Future research should expand on the findings of this study by using quantitative methods and by looking at the broader context.
It is important to point out that we were unable to find evidence for bacteria in the middle ears of the Splunc1 −/− mice, by histological methods or by looking for bacterial genetic material, which suggests that we might be observing a sterile inflammation process in the Splunc1 −/− middle ear.
Ongoing work in our lab aims to explore this method further by looking at additional metals and alloys as well as at the more complex morphologies with higher roughness factors, such as those produced by electrodeposition through self-assembled colloidal sphere masks.
The two methods are compared by looking at the relationship results produced and the indication of variation in the process.
Comparison of the Angoff and norm reference methods was done by looking at their percentage agreement, which was determined by calculating the percentage of cases (students) that gets the same result (pass or fail) by the 2 different methods (see Table I for results).
The two methods of standard – setting, i.e. norm – reference (mean minus 1.0 SD) and modified Angoff method, were compared by looking at the percentage agreement between them.
We further tested the sensitivity of our method of analysis by looking at the effect of preventing NF-κB signaling on BDNF-dependent neuritic growth in sensory neurons.
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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