Spotting the invisible: Mapping structures, functions of a transient enzyme state

Chemists have succeeded in mapping structures and functions of a transient enzyme state. By modifying the enzyme adenylate kinase, researchers were able to isolate the molecule and study it using the quantitative techniques X-ray crystallography and nuclear magnetic resonance (NMR) spectroscopy.

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Nitrogen oxides emissions: Traffic dramatically underestimated as major polluter

Traffic contributes more to nitrogen oxide emissions in Europe than previously thought, a new study shows. The research team shows that even newer air quality models underestimate traffic related nitrogen oxide pollution by up to a factor of four.

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Physicists uncover similarities between classical and quantum machine learning

(Phys.org)—Physicists have found that the structure of certain types of quantum learning algorithms is very similar to their classical counterparts—a finding that will help scientists further develop the quantum versions. Classical machine learning algorithms are currently used for performing complex computational tasks, such as pattern recognition or classification in large amounts of data, and constitute a crucial part of many modern technologies. The aim of quantum learning algorithms is to bring these features into scenarios where information is in a fully quantum form.

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