Publications by authors named "K A Schafer"

Selenium disulfide (often referred to as SeS) encompasses a family of mixed selenium-sulfide eight-membered rings, traditionally used as an anti-dandruff agent in shampoos. SeS can be produced by reacting hydrogen sulfide (HS) with selenite (SeO) under acidic conditions. This chemistry is also possible with natural spring waters that are rich in HS, thus providing an avenue for the more sustainable, green production of high-quality SeS particles from an abundant natural source.

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The INHAND (International Harmonization of Nomenclature and Diagnostic Criteria for Lesions) Project (www.toxpath.org/ inhand.

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Medium chain fatty acids (MCFAs) are valuable platform compounds for the production of biotechnologically relevant chemicals such as biofuels and biochemicals. Two distinct pathways have been implemented in the yeast Saccharomyces cerevisiae for the biosynthetic production of MCFAs: (i) the mutant fatty acid biosynthesis (FAB) pathway in which the fatty acid synthase (FAS) complex is mutated and (ii) a heterologous multispecies-derived reverse β-oxidation (rBOX) pathway. Hexanoic acid has become of great interest as its acyl-CoA ester, hexanoyl-CoA, is required for the biosynthesis of olivetolic acid (OA), a cannabinoid precursor.

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Objective: Despite growing interest in leveraging motivational techniques to address restrictive eating, it is not yet clear how to most effectively promote motivation to reduce this behavior. Drawing from a behavioral economic framework, the present study evaluates a novel approach for increasing motivation to address disordered eating by amplifying the potential benefits of reducing dietary restriction and the consequences of maintaining disordered behaviors.

Method: A sample of 126 undergraduate students engaging in restrictive eating participated in a 7-day online experiment.

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The terrestrial ecosystem plays a vital role in regulating regional and global carbon budgets. Ecosystem models are extensively employed to estimate carbon fluxes across different spatial scales. However, there remains a need to reduce the uncertainties associated with model parameterization and input data.

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