Solving a 5 yr old personal mystery about "Why Water Walks on Water". Click here to tweet this video: https://goo.gl/oYRa57 Thanks to Google Making & Science...
Chemical R&D generates a deluge of instrumental analytical data on a daily basis. As critical R&D decisions and regulatory submissions are based on this data, the need for quality data management is more important than ever before. A lot has changed since the days when paper notebooks were the leading data management ‘platform’ among scientists. Advancements in research and instrument hardware continue to increase the amount of data we are able to produce and process. Sanji Bhal sits down with Graham McGibbon, director of strategic partnerships at ACD/Labs, to discuss his outlook on the industry and the pressing need for better management of analytical chemistry data in R&D.
M. Glauer, T. Mossakowski, F. Neuhaus, A. Memariani, and J. Hastings. A Compendium of Neuro-Symbolic Artificial Intelligence, volume 369 of Frontiers in Artificial Intelligence and Applications, chapter 21, IOS press, (2023)
M. Glauer, F. Neuhaus, T. Mossakowski, and J. Hastings. German conference on artificial intelligence 2023, volume 14236 of Lecture Notes in Artificial Intelligence, page 31-45. Springer, (2023)Best paper award. Also available at https://doi.org/10.48550/arXiv.2301.08577.
F. Rockhold, and S. Ruberg. Pharmaceutical statistics, 7 (4):
233-5(2008)4692<m:linebreak></m:linebreak>JID: 101201192; ppublish;<m:linebreak></m:linebreak>Anàlisi de dades.