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| http://dx.doi.org/10.3389/fpls.2016.00489 | DOI Listing |
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A prediction model for electrical strength of gaseous medium based on molecular reactivity descriptors and machine learning method.
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Hubei Key Laboratory·for High-Efficiency-Utilization of Solar Energy and Operation, Control of Energy-Storage System, Hubei-University of Technology, Wuhan, 430068, China.
Context: Ionization and adsorption in gas discharge are similar to electrophilic and nucleophilic reactions. The molecular descriptors characterizing reactions such as electrostatic potential descriptors are useful in predicting the electrical strength of environmentally friendly gases. In this study, descriptors of 73 molecules are employed for correlation analysis with electrical strength.
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Laboratory of Hepato-Gastroenterology, Institute of Experimental and Clinical Research, UCLouvain, Brussels, Belgium.
The gut microbiota is unanimously acknowledged as playing a central role in human health, notably through the production of various metabolites, including short-chain fatty acids, secondary bile acids, vitamins or neurotransmitters. Beyond contributing to gut health itself, these microbial metabolites significantly impact multiple organ systems by participating in key signaling pathways along the well documented gut-organ axes. Chemicals ingested through food might interact with our gut microbiota, altering metabolites production with consequences on health.
View Article and Find Full Text PDFNeighborhood-level socioeconomic disadvantage is associated with multiple cognitive domains in a community sample of older adults.
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Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
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