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This tool enables students cite their work properly, using the best practices and methods.
This tool enables us to factor acoustics into the design parameters of new MRI systems.
This tool enables governments to explore new programs without risk, and connects dollars directly to outcomes, rather than the delivery of services.
This tool enables knowledge engineers to perform their tasks from knowledge acquisition to knowledge verification effectively and consistently.
Among other things, this tool enables students to see simulations of coupling assembly, to consult data bases about the technical characteristics of very different existing couplings, to calculate and choose the right coupling for a specific application of power drive between machine shafts and to carry out self-evaluation tests.
This tool enables the efficient construction of knockout alleles via induction of frameshift mutations.
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This tool enabled pairwise comparison of website screenshots and input attributes (i.e., website text sentences, HTML tag sequences, and file structure) by an evaluator.
This tool enabled parallel viewing and transcription.
This tool enabled participants to work with the patient to unpick the impact that internal and external factors were having.
Although this tool enabled searches against several combination method pre-computed databases including Homologene [ 32, 33], it could only deal with one sequence at a time.
In this way the tool enables informed decisions to be made regarding implementation of energy policies.
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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