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Senior Honors thesis: "Data-Directed Conformational Search: Using Global Optimization to Determine Large Protein Structure from Sparse NMR Data". Currently a Ph.D. Student in Chemistry at MIT. **Joined as joint R-Lab/D-Lab Ph.D. student.
The development of a single metadatabase of all available bioaccumulation data would greatly simplify and improve data access and eliminate duplicate records of the same data, currently a difficult problem when combining data from different sources.
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Researchers, out of experimental necessity, typically derive acceleration data, currently an established measure for head impact vulnerability, by calculation.
As a result, evolutionary comparative ("tree-thinking") analyses that use these data currently allow a new and still unfolding narrative, both richer in detail and more comprehensive in scope.
At present, however, allometric errors applied to field data currently represent a "known unknown", and thus field-estimated carbon stock (i.e., by allometric models) is currently considered to be the standard unit against which to compare subsequent model estimates [17, 59].
However, despite the abundance of complete genome data currently available, a lack of phylogenetic diversity is evident.
For human, limited data currently prohibits a detailed statistical analysis.
Although no clinical data currently exist, a trial of GRN163L in women with trastuzumab-resistant breast cancer is ongoing (Table 1).
At present, however, allometric errors applied to field data currently represent a "known unknown", and thus field-estimated carbon stock (i.e., by allometric models) is currently considered to be the standard unit against which to compare subsequent model estimates [ 17, 59].
The survival modeling approach appears to be appropriate and computationally tractable given the detailed genotypic data currently available (an example dataset and annotated scripts to run such an analysis can be found at http://cameliaminica.nl/research.php).nl/research.php
In addition, accurate antenna offset values can be only estimated from processing GPS data currently with an accuracy of cm to dm levels.
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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