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Machine Learning Quantitative Structure–Property Relationships as a Function of Ionic Liquid Cations for the Gas-Ionic Liquid Partition Coefficient of Hydrocarbons (open access)

Machine Learning Quantitative Structure–Property Relationships as a Function of Ionic Liquid Cations for the Gas-Ionic Liquid Partition Coefficient of Hydrocarbons

This article presents a study with the aim to develop quantitative structure–property relationships (QSPRs) that would allow the understanding of molecular interactions in ionic liquids based on the structure of the cationic moiety.
Date: July 7, 2022
Creator: Toots, Karl Marti; Sild, Sulev; Leis, Jaan; Acree, William E. (William Eugene) & Maran, Uko, 1966-
System: The UNT Digital Library
Comparing Methods of Defining Priority Areas for Greater Sage-Grouse (open access)

Comparing Methods of Defining Priority Areas for Greater Sage-Grouse

Article comparing priority areas for wildlife species using different methods and data types. The authors used resource selection function (RSF) models to predict high priority areas and compared this to priority areas developed using two alternative methods: (1) modified conservation buffer, and (2) utilization distribution (UD) models.
Date: July 7, 2022
Creator: Parsons, Lindsey; Jenks, Jonathan; Runia, Travis & Gregory, Andrew
System: The UNT Digital Library