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open access

The Bibliographical Maker Movement

Description: Paper offering an extended discourse on the full range of activities comprising the bibliographical maker movement, which in recent years has coalesced around the idea that maker culture may be employed to enhance our understanding of not only the history but also the future of the book.
Date: June 27, 2022
Creator: Jacobs, Courtney “Jet”; McIntosh, Marcia & O’Sullivan, Kevin M.
Partner: UNT Libraries Digital Projects Unit
open access

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

Description: 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.
Partner: UNT College of Science
open access

agroString: Visibility and Provenance through a Private Blockchain Platform for Agricultural Dispense towards Consumers

Description: Article discusses the large quantities of farm and meat products that rot and are wasted if correct actions are not taken leading to serious health concerns if consumed. Because there is no proper system for tracking and communicating the status of goods to consumers, a right which according to the authors should be a given, they propose a method of increased communication using Corda private blockchain.
Date: October 27, 2022
Creator: Vangipuram, Sukrutha L. T.; Mohanty, Saraju P.; Kougianos, Elias & Ray, Chittaranjan
Partner: UNT College of Engineering
open access

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

Description: 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
Partner: UNT College of Science
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