Results 211 to 220 of about 195,860 (265)
Some of the next articles are maybe not open access.
Malting technology: malt, specialized malts and non-malt adjuncts
1995Some brewers make malt for their own use. This gives them a good sense of the proper price for malt and for the quality of malt that commercial maltsters should deliver from the current crop. But, by making less than all the malt they need, they assure that their own malting capacity always operates near full capacity. The vast bulk of the world’s malt
Michael J. Lewis, Tom W. Young
openaire +1 more source
Angewandte Chemie International Edition
"A turning point in my career was when I joined a biomedical institute with a chemistry background and experienced science beyond traditional disciplines… The biggest challenge scientists are facing is dealing with delayed gratification." Find out more about Malte Gersch in his Introducing… Profile.
openaire +2 more sources
"A turning point in my career was when I joined a biomedical institute with a chemistry background and experienced science beyond traditional disciplines… The biggest challenge scientists are facing is dealing with delayed gratification." Find out more about Malte Gersch in his Introducing… Profile.
openaire +2 more sources
Malt and Distilled Malt Vinegar
2009The origins of malt vinegar in Britain go back several hundred years. As Britain is a beer-drinking nation, the early vinegars were simply beer that had turned sour; it was left and encouraged to acetify completely, and then processed, packed and sold in the area around the local beer brewery.
openaire +1 more source
Proceedings of the Tenth European Conference on Computer Systems, 2015
Machine learning methods, such as SVM and neural networks, often improve their accuracy by using models with more parameters trained on large numbers of examples. Building such models on a single machine is often impractical because of the large amount of computation required.
Hao Li +3 more
openaire +1 more source
Machine learning methods, such as SVM and neural networks, often improve their accuracy by using models with more parameters trained on large numbers of examples. Building such models on a single machine is often impractical because of the large amount of computation required.
Hao Li +3 more
openaire +1 more source