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To summarize, we built a model using early, late, and total stages.
Results: At the national level, a model using early incidence in December and averaged November December zonal wind provided the best fit (pseudo- R = 0.57), with zonal wind having the greatest impact.
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Moreover, the BFD-22 antitumor effects were evaluated in a melanoma murine model using B16F10.
We trained the model using 4982 trials (70% of the data), and tested it on the remaining 2132 trials (30% of the data).
The first is a simplified 2-D analysis model, using SAP2000 and the second is a complex 3-D analysis model, using ABAQUS.
In a system that more accurately mimics the pathology of leukemic disease, the efficacy of ganetespib was also evaluated in a disseminated disease model using HEL92.1.7 cells.
The variation between each patient sequence population to subtype A and subtype D populations were calculated using MEGA 4.0 (Figure 4A) and the Tamura 3-parameter molecular model using 1000 bootstrap replicates.
A study is currently ongoing to validate the model using 2010 to 2014 data.
We generated and validated a case-mix in-hospital mortality prediction model using 50/50 split sample validation.
The accuracy of the proposed model using 1,000 bootstrap resamples was then calculated for internal validation [ 38].
IgA2 EGFR also mediated efficient anti-tumour activity in a lung metastasis model using B16F10-EGFR cells in immunocompetent mice.
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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