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The American Invitational Mathematics Examination (AIME) is a selective and prestigious 15-question 3-hour test given since 1983 to those who rank in the top 5% on the AMC 12 high school mathematics examination (formerly known as the AHSME), and starting in 2010, those who rank in the top 2.5% on the AMC 10. Two different versions of the test ...
Zelinsky Institute of Organic Chemistry: carbohydrates structures references CSDB ID "CSDB". CTD Comparative Toxicogenomics Database: Department of Biological Sciences at North Carolina State University MeSH CASNo ChEBI PubChem genes, pathways "CTD". DDB Dortmund Data Bank: pure compounds, mixtures, gas hydrates physical properties "DDB".
The 2007 competitions were the first with only 1.5 points awarded for a blank, to discourage students from leaving a large number of questions blank in order to assure qualification for the AIME. For example, prior to this change, on the AMC 12, a student could advance with only 11 correct answers, presuming the remaining questions were left blank.
In analytical chemistry, sample preparation (working-up) refers to the ways in which a sample is treated prior to its analyses. Preparation is a very important step in most analytical techniques, because the techniques are often not responsive to the analyte in its in-situ form, or the results are distorted by interfering species.
Modern simultaneous CHNS combustion analyzer. Elemental analysis is a process where a sample of some material (e.g., soil, waste or drinking water, bodily fluids, minerals, chemical compounds) is analyzed for its elemental and sometimes isotopic composition.
The Dortmund Data Bank was founded in the 1970s at the University of Dortmund in Germany. The original reason for starting a vapor–liquid phase equilibria data collection was the development [ 2 ] of the group contribution method UNIFAC which allows to estimate vapor pressures of mixtures.
In general, a sample is a limited quantity of something which is intended to be similar to and represent a larger amount of that thing(s). [1] The things could be countable objects such as individual items available as units for sale, or an uncountable material.
In 2020, it was announced that Google's AlphaFold, a neural network based on DeepMind artificial intelligence, is capable of predicting a protein's final shape based solely on its amino-acid chain with an accuracy of around 90% on a test sample of proteins used by the team. [16]