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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
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
Thermal instability and multiphase gas in the simulated interstellar medium with conduction, viscosity, and magnetic fields
This article uses 2D simulations to investigate thermal instability under the influence of various initial conditions and physical processes.
Date:
June 7, 2021
Creator:
Jennings, R. Michael & Li, Yuan
System:
The UNT Digital Library
Haptoglobin Gene Expression and Anthracycline-Related Cardiomyopathy in Childhood Cancer Survivors: A COG-ALTE03N1 Report
Article describes how anthracycline-related cardiomyopathy is a leading cause of premature death in childhood cancer survivors. The authors interrogated differentially expressed genes (DEGs) to identify genetic variants serving regulatory functions or genetic variants not easily identified when using genomewide array platforms.
Date:
February 7, 2023
Creator:
Singh, Purnima; Crossman, David K.; Zhou, Liting; Wang, Xuexia; Sharafeldin, Noha; Hageman, Lindsey et al.
System:
The UNT Digital Library
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
Do gene-environment interactions play a role in COVID-19 distribution? The case of Alpha-1 Antitrypsin, air pollution and COVID-19
This article evaluates the role that gene-environment interaction between air-pollution and Alpha-1 Antitrypsin (AAT) genes plays in the severity of COVID-19. Results find parallelism between the number of COVID deaths and the AAT*air pollution global risk in Europe.
Date:
May 7, 2021
Creator:
Murgia, Nicola; Corsico, Angelo Guido; D'Amato, Gennaro; Maesano, Cara Nichole; Tozzi, Arturo & Annesi-Maesano, Isabella
System:
The UNT Digital Library
Integrative omics identification, evolutionary and structural analysis of low affinity nitrate transporters in diatoms, diNPFs
This article reports a comprehensive characterization of the Nitrate Transporter 1/Peptide Transporter Family (NPF) in diatoms, diNPFs.
Date:
April 7, 2021
Creator:
Santin, Anna; Caputi, Luigi; Longo, Antonella; Chiurazzi, Maurizio; d’Alcalà, Maurizio Ribera; Russo, Monia Teresa et al.
System:
The UNT Digital Library
Nematic order on a deformable vesicle with anchoring effects
This article proposes a new model to represent a vesicle membrane with internal nematic order whose equilibrium states depend on the competition between the bending, elastic and anchoring energies.
Date:
July 7, 2020
Creator:
Tierra Chica, Giordano; Guillén-González, Francisco & Rodríguez-Bellido, María Ángeles
System:
The UNT Digital Library
Fractal structure of human and primate social networks optimizes information flow
Article describes how primate and human social groups exhibit a fractal structure that has a very limited range of preferred layer sizes. The authors calculate the size dependence of the scaling properties of complex social network models and argue that this aggregate behavior exhibits a form of collective intelligence.
Date:
June 7, 2023
Creator:
West, Bruce J.; Culbreth, Garland; Dunbar, Robin I. M. & Grigolini, Paolo
System:
The UNT Digital Library
Reactions of hydrazine with the amidogen radical and atomic hydrogen
Article describes how the rate coefficient k1 for NH2 + N2H4 was measured to be (5.4 ± 0.4) × 10−14 cm3 molecule−1 s−1 at 296 K. The authors then describe how a combination of experiment and theory leads to a recommended rate coefficient for hydrogen abstraction of k1 = 6.3 × 10−23 T3.44 exp(+289 K/T) cm3 molecule−1 s−1.
Date:
June 7, 2023
Creator:
Gao, Yide; Alecu, I. M.; Hashemi, Hamid; Glarborg, Peter & Marshall, Paul
System:
The UNT Digital Library