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Abstract: Useful information to calibrate instruments used for astrophysical measurements is usually obtained by observing different sources with well-understood characteristics simultaneously with different detectors.
The ability to link these phenotypes with genetic background and consequently other macroscopic, mechanical, and endocrine phenotypes provides a more complete picture of how the microstructure is correlated to existing, well-understood characteristics.
The molecular structures and the individual topological organization of a great part of the enzymes are well understood, but the characteristics of the functional dynamics that they conform as a whole are still unknown.
The pathogenesis and progression of AD are not well understood; however, the characteristic histopathologic features are studied extensively, including neuritic plaques (senile plaques), neurofibrillary tangles, loss of neurons and synaptic connections, and glial proliferations [ 1].
Due to a large volume of work in SAMs, it has been largely assumed that their characteristics are well understood, among these, the so-called odd-even effect.
Random Forest is widely used across a wide range of fields for classification and regression, and its bias and error characteristics are well understood [23, 24].
However, those conditions are not well understood, and the population genetic characteristics of plant species may differ in important ways from human and animal species, e.g., many plants are self-pollinating.
These cards have been used for some time in forensic human biology [ 1, 2] and their characteristics are well understood.
Random Forest is widely used across a wide range of fields for classification and regression, and its bias and error characteristics are well understood [ 23, 24].
Our choice of this measure is based on the facts that its convergence characteristics are well understood, it has good discriminatory power and its calculation is efficient.
The nature of injuries sustained in MTV crashes in high-income regions is well understood, [ 2] however, the characteristics of crashes and associated injuries sustained by MTV users in India are less well understood.
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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