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With a combination of the Multilingual Weighted Codebooks and Gaussian Mixture Model projections we create an efficient and scalable architecture for non-native speech recognition.
Recognizing that uncertainty in both R 0 and γ will affect the accuracy of model projections we obtain an upper limit on β0 (not a confidence interval because the parameters are not independent) from β+ = R 0 +×γ+ and a lower limit from β0 − = R 0 −×γ−, where and indicate the upper and lower limits on the estimate intervals for the respective parameters.
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For example, correcting for the recent cool bias indicates that global surface temperatures are not as far from the average of climate model projections as we previously thought, and certainly fall within the range of individual climate model temperature simulations.
With our model-based projections, we reproduced data from rural India (19 ) and the United States (20 ) as examples of heterosexual populations with gender-different (i.e., traditional) and gender-similar age-specific sexual behaviors (Technical Appendix Figure 2).
However, the most recent model projections tell us that we should expect extreme El Niños (and La Niñas) to happen more frequently.
When comparing observations with model projections, it is likely that we will frequently see apparent trends that are more rapid than projected.
We limited model projections to areas where suitability scores were at least as high as the score of the least suitable presence cell.
We based model projections into the future on predicted average climate data for the period 2070 2099 for the four Intergovernmental Panel on Climate Change climate change scenarios (A1 (A2FI), A2, B1 and B2) [49], which represent different assumptions regarding economic growth, technology, demographic changes and governance [1].
However, models capable of this are not sufficiently developed, so we instead used model projections of change in range extent.
Using the hydrology model in conjunction with climate forecast projections, we are developing an arboviral forecast for Florida.
However, because of uncertainty in this estimate, we ran most model projections with mean values of juvenile survival ranging between 0.22 and 0.32.
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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