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The team also runs Brightify, a mobile app development house, and this tool made it easier to build apps in Swift without extensive coding.
This tool made it possible to begin to search viral, bacterial, and parasite genomes for human homology at the TCR face.
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This tool makes it easy for students to link to other sites and documents as they collect information, then helps them synthesize learning from primary and secondary sources, contextualize and interpret sources, and share their learning in a fun and interactive way.
This tool makes noisy temporal belief functions smoother using a Temporal Evidential Filter (TEF).
In particular, this tool makes it possible to map network QoS onto the QoE of YouTube sessions.
This tool makes it possible to identify and locate specific phenomena related to neuronal metabolism and activity.
This tool makes it possible to extract the data dictionary of a given process from the description of its elements and to locate documents (procedures, recommendations, instructions) according to each activity or role.
Notably, this tool makes it possible for reddit users to collect funds for causes that are not related to official non-profits (like when we raised money for Alexia's new headphones!).
This tool makes it easier to share information and do more with your new-found cousins.
This tool makes it possible to efficiently integrate the workflow going from the analysis to the mining of microarray expression datasets in an automated and seamless way.
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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