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Before the Anthology screenings, at a table in the lobby, each film was rapidly inspected for broken sprockets, bad splices and any other potential screening problem.
This paper studies a standard screening problem where the principal's allocation rule is multi-dimensional, and the agent's private information is a one-dimensional continuous variable.
The virtual screening problem for AChE inhibitors was addressed.
The study provided a plausible solution to the virtual screening problem on AChE.
In reality, the major screening problem of overdiagnosis, or the detection of nonprogressive or nonlethal pseudodisease, complicates this simplified economic analysis [ 21].
We focus on the screening problem of finding all fingerprints in a database with Tanimoto coefficient to a query fingerprint above a given threshold, e.g. 0.9.
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It possesses the correct characteristics for its application in early-recognition virtual screening problems.
4, the same type of generalization is extended to other results in the context of similar principal-agent and other screening problems.
In general screening problems, implementable allocation rules correspond exactly to Walrasian equilibria of an economy in which types are consumers with quasilinear utility and unit demand.
We leave for future work the application of even more complex methods, such as undirected graph recursive neural networks (UG-RNNs) [57], to large-scale drug-target screening problems.
The virtual screening problems associated with acetylcholinesterase (AChE) inhibitors were explored using multiple shape, and structure-based modeling strategies.
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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