AIMC Topic: Ketones
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Machine Learning Predicts Non-Preferred and Preferred Vertebrate Hosts of Tsetse Flies (Glossina spp.) Based on Skin Volatile Emission Profiles.
Journal of chemical ecology
Mar 7, 2025
Tsetse fly vectors of African trypanosomosis preferentially feed on certain vertebrates largely determined by olfactory cues they emit. Previously, we established that three skin-derived ketones including 6-methyl-5-hepten-2-one, acetophenone and ger...
Improving accuracy and efficiency of the machined PEEK denture based on NSGA-II integrated GABP neural network.
Dental materials : official publication of the Academy of Dental Materials
Aug 10, 2024
OBJECTIVES: The polymer polyetheretherketone (PEEK) is gradually being used in dental restorations because of its excellent mechanical properties, chemical resistance, fatigue resistance, thermal stability, radiation translucency and good biocompatib...
The use of marine-derived fungi for preparation of enantiomerically pure alcohols.
Applied microbiology and biotechnology
Dec 20, 2017
A highly enantioselective and minimally polluting approach to optically pure chiral alcohols is developed using cheap, readily available and sustainable marine-derived fungi as catalysts. An evaluation of the synthetic potential of 13 Chinese marine ...
Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approach.
Journal of chemical theory and computation
Apr 23, 2015
Chemically accurate and comprehensive studies of the virtual space of all possible molecules are severely limited by the computational cost of quantum chemistry. We introduce a composite strategy that adds machine learning corrections to computationa...
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