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Abraham Model Descriptors for Melatonin; Prediction of Solution, Biological and Thermodynamic Properties (open access)

Abraham Model Descriptors for Melatonin; Prediction of Solution, Biological and Thermodynamic Properties

Article using literature solubilities to obtain properties or descriptors of melatonin.
Date: January 27, 2022
Creator: Liu, Xiangli; Abraham, M. H. (Michael H.) & Acree, William E. (William Eugene)
System: The UNT Digital Library
Nanomagnet-facilitated pharmaco-compatibility for cancer diagnostics: Underlying risks and the emergence of ultrasmall nanomagnets (open access)

Nanomagnet-facilitated pharmaco-compatibility for cancer diagnostics: Underlying risks and the emergence of ultrasmall nanomagnets

Article summarizes various progressive aspects of nanomagnets pertaining to their production with an emphasis on sustainable biomimetic approaches, particularly cancer therapy.
Date: June 27, 2022
Creator: Parimi, Divya S.; Gupta, Yamini; Marpu, Sreekar; Bhatt, Chandra S.; Bollu, Tharun K. & Suresh, Anil K.
System: The UNT Digital Library
Urban edge trees: Urban form and meteorology drive elemental carbon deposition to canopies and soils (open access)

Urban edge trees: Urban form and meteorology drive elemental carbon deposition to canopies and soils

Article asserts that urban tree canopies are a significant sink for atmospheric elemental carbon (EC)--and air pollutant that is a powerful climate-forcing agent and threat to human health. The authors' findings indicate that complex configurations of roads, buildings, and vegetation produce “urban edge trees” that contribute to heterogeneous EC deposition patterns across urban systems, with implications for greenspace planning.
Date: September 27, 2022
Creator: Ponette-González, Alexandra G.; Chen, Dongmei; Elderbrock, Evan; Rindy, Jenna E.; Barrett, Tate E.; Luce, Brett W. et al.
System: The UNT Digital Library
What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection (open access)

What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection

Article describes how the low-cost sensor has changed the air quality monitoring paradigm with the capacity for efficient network expansion and community engagement. This study comprehensively assessed ten widely used data techniques, namely AdaBoost, Bayesian ridge, gradient tree boosting, K-nearest neighbors, Lasso, multivariable linear regression, neural network, random forest, ridge regression, and support vector machine.
Date: June 27, 2022
Creator: Liang, Lu & Daniels, Jacob
System: The UNT Digital Library