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open access

Enhanced Corrosion Resistance and Surface Wettability of PVDF/ZnO and PVDF/TiO2 Composite Coatings: A Comparative Study

Description: Article describes how this study aims to enhance the practical performance of PVDF/ZnO and PVDF/TiO2 composite coatings known for their distinctive properties. The coatings, applied through spray coating with PVDF and ZnO or TiO2 nanoparticles on glass, steel, and aluminum substrates, underwent a comprehensive evaluation.
Date: October 4, 2023
Creator: Mohamed, Adel M. A.; Alateyah, Abdulrahman I.; Hasan, Hosam; Matli, Penchal Reddy; El-Sayed Seleman, Mohamed M.; Ahmed, Essam et al.
Partner: UNT College of Science
open access

The impact of high-immersion virtual reality on foreign language anxiety

Description: Authors of the article assert that public speaking, especially in a foreign language, is associated with increased anxiety. The authors found that VR technology had a positive effect on practicing public speaking in a foreign language, the research findings have practical implications for professionals and curriculum designers in various domains where public speaking skills are essential.
Date: October 4, 2023
Creator: Kaplan-Rakowski, Regina & Gruber, Alice
Partner: UNT College of Information
open access

Effectiveness of a Single Prolonged Aerobic Exercise Session on Executive Function Task Performance in Physically Active Adults (21–70 Years of Age)

Description: Authors of the article sought to examine the effectiveness of an acute prolonged exercise session on post-exercise executive function in physically active adults and to assess if age or pre-exercise cognitive performance was predictive of the magnitude of change in executive task performance. Their results support the effectiveness of a single prolonged exercise bout to augment executive function in physically active adults, irrespective of age.
Date: February 4, 2023
Creator: Yates, Brandon A.; Armstrong, Lawrence E.; Lee, Elaine C.; Unverzagt, Frederick W.; Dadzie, Ekow Jr.; Williamson, Keith et al.
Partner: UNT College of Science
open access

Homologues and homology and their related terms in phylogenetic systematics

Description: Article describes how, in the field of phylogenetic systematics, the terms homology and homologue and their relationship to cladistic terms such as character, character state, synapomorphy and symplesiomorphy, as well as their relationships to each other, have been and are still discussed frequently. A recent re-emergence of concepts of homology/homologue free of any reference to explanatory hypotheses prompted the authors to explore these concepts and their relationships to each other as well … more
Date: February 4, 2023
Creator: Göpel, Torben & Richter, Stefan
Partner: UNT College of Science
open access

Molten Salt Corrosion Behavior of Dual-Phase High Entropy Alloy for Concentrating Solar Power Systems

Description: Article describes how dual-phase high entropy alloys have recently attracted widespread attention as advanced structural materials due to their unique microstructure, excellent mechanical properties, and corrosion resistance. The molten salt corrosion behavior of AlCoCrFeNi2.1 eutectic high-entropy alloy was evaluated in molten NaCl-KCl-MgCl2 salt at 450° C and 650° C in comparison to conventional duplex stainless steel 2205.
Date: February 4, 2023
Creator: Patel, Kunjal; Hasannaeimi, Vahid; Sadeghilaridjani, Maryam; Muskeri, Saideep; Mahajan, Chaitanya & Mukherjee, Sundeep
Partner: UNT College of Engineering
open access

Modulating Uranium Extraction Performance of Multivariate Covalent Organic Frameworks through Donor–Acceptor Linkers and Amidoxime Nanotraps

Description: Article presents a COF (covalent organic framework)-based adsorption-photocatalysis strategy for selective removal of uranyl from seawater in the absence of sacrificial reagents. This work shows that multivariate COF adsorption-photocatalysts can be rationally engineered to work efficiently and stably without sacrificial electron donors, thus opening the pathway for the economic and efficient extraction of uranium from the earth’s oceans.
Date: January 4, 2023
Creator: Hao, Mengjie; Xie, Yinghui; Liu, Xiaolu; Chen, Zhongshan; Yang, Hui; Waterhouse, Geoffrey I. N. et al.
Partner: UNT College of Science
open access

Quantitative estimation of closed cell porosity in low density ceramic composites using X-ray microtomography

Description: Article asserts that x-ray Microtomography is a proven tool for phase fraction analysis of multi-phase systems, provided that each phase is adequately partitioned by some means of data processing. The authors present a novel, combined methodology for accurate porosity analysis—despite these shortcomings.
Date: January 4, 2023
Creator: Smith, J. D.; Garcia, C.; Rodriguez, J. & Scharf, T. W.
Partner: UNT College of Engineering
open access

A Gaze into the Internal Logic of Graph Neural Networks, with Logic

Description: Article exploring graph node property prediction. Originally presented as part of the application track at the 38th International Conference on Logic Programming in Haifa, Israel.
Date: August 4, 2022
Creator: Tarau, Paul
Partner: UNT College of Engineering
open access

Strategic choice in times of stagnant growth and uncertainty: An institutional theory and organizational change perspective

Description: Article provides insight into the strategic behaviors of firms facing slow growth in times of economic stagnation. Using the pertinent literature from institutional theory and organizational change, the authors posit that the appropriate firm-level response (strategic choice) during periods of slow growth is to maintain legitimacy and membership in the field by adopting a proactive approach that focuses on improving top-line growth.
Date: July 4, 2022
Creator: Struckell, Elisabeth; Ojha, Divesh; Patel, Pankaj C. & Dhir, Amandeep
Partner: UNT College of Business
open access

Expand-and-Randomize: An Algebraic Approach to Secure Computation

Description: This article considers the secure computation problem in a minimal model, where Alice and Bob each holds an input and wish to securely compute a function of their inputs at Carol without revealing any additional information about the inputs. For this minimal secure computation problem, the authors propose a novel coding scheme built from two steps. First, the function to be computed is expanded such that it can be recovered while additional information might be leaked. Second, a randomization s… more
Date: November 4, 2021
Creator: Zhao, Yizhou & Sun, Hua
Partner: UNT College of Engineering
open access

Does Perceived Competence Mediate between Ball Skills and Children’s Physical Activity and Enjoyment?

Description: This article examines the potential mediating role of perceived motor skill competence on relationships between actual ball skills and children’s physical activity (PA) and PA enjoyment. Correlation analyses showed positive relationships among the study variables. The findings highlight that ball skills significantly impact students’ perceived competence, positively and indirectly affecting their PA and PA enjoyment.
Date: July 4, 2021
Creator: Zhang, Tao; Lee, Joonyoung; Barnett, Lisa M. & Gu, Xiangli
Partner: UNT College of Education
open access

COS: A new MeSH term embedding incorporating corpus, ontology, and semantic predications

Description: Article studying the problem of incorporating corpus, ontology, and semantic predications to learn the embeddings of MeSH terms. The authors propose a novel framework, Corpus, Ontology, and Semantic predications-based MeSH term embedding (COS), to generate high-quality MeSH term embeddings.
Date: May 4, 2021
Creator: Ding, Juncheng & Jin, Wei
Partner: UNT College of Engineering
open access

Ultrafast dephasing in hydrogen-bonded pyridine–water mixtures

Description: Article studying Hydrogen-bonded pyridine–water mixtures by a time-frequency resolved coherent Raman spectroscopic technique.
Date: May 4, 2021
Creator: Ariunbold, Gombojav O.; Semon, Bryan; Nagpal, Supriya & Rostovtsev, Yuri V.
Partner: UNT College of Science
open access

Action unit classification for facial expression recognition using active learning and SVM

Description: Article utilizing active learning and support vector machine (SVM) algorithms to classify facial action units (AU) for human facial expression recognition. Experimental results show that the proposed algorithm can effectively suppress correlated noise and achieve higher recognition rates than principal component analysis and a human observer on seven different facial expressions.
Date: April 4, 2021
Creator: Yao, Li; Wan, Yan & Xu, Bugao
Partner: UNT College of Engineering
open access

Analyzing Mass Spectrometry Imaging Data of 13C-Labeled Phospholipids in Camelina sativa and Thlaspi arvense (Pennycress) Embryos

Description: This article uses currently available software and techniques to describe a workflow to analyze ¹³C-labeled isotopologues of the membrane lipid and storage oil lipid intermediate—phosphatidylcholine (PC). Results demonstrated greater ¹³C-isotopic labeling in the cotyledons of developing embryos compared with the embryonic axis.
Date: March 4, 2021
Creator: Romsdahl, Trevor B.; Kambhampati, Shrikaar; Koley, Somnath; Yadav, Umesh P.; Alonso, Ana Paula; Allen, Doug K. et al.
Partner: UNT College of Science
open access

Are States Created Equal? Moving to a State With More Expensive Childcare Reduces Mothers' Odds of Employment

Description: This article investigates whether moving to a state with more expensive childcare is associated with lower odds of maternal employment among mothers who had been employed prior to relocation. Results show that moving to states with fewer childcare barriers is associated with higher levels of maternal employment, partly mitigating the negative labor market effects of interstate migration.
Date: March 4, 2021
Creator: Landivar, Liana Christin; Ruppanner, Leah & Scarborough, William
Partner: UNT College of Liberal Arts & Social Sciences
open access

Neural classification of Norwegian radiology reports: using NLP to detect findings in CT-scans of children

Description: This article trained machine learning techniques to classify Norwegian radiology reports of pediatric CT examinations according to their description of abnormal findings. The developed models are robust with respect to different contexts, and may be used in quality assurance processes.
Date: March 4, 2021
Creator: Dahl, Fredrik A.; Rama, Taraka; Hurlen, Petter; Brekke, Pål H.; Husby, Haldor; Gundersen, Tore et al.
Partner: UNT College of Information
open access

Dissecting the transcriptional regulation of proanthocyanidin and anthocyanin biosynthesis in soybean (Glycine max)

Description: This article analyzes the transcriptional control of PA and anthocyanin biosynthesis in soybean. Results show that engineered PA biosynthesis in soybean exhibits qualitative and spatial differences from the better-studied model systems Arabidopsis thaliana and Medicago truncatula, and suggest targets for engineering PAs in soybean plants.
Date: February 4, 2021
Creator: Lu, Nan; Rao, Xiaolan; Jun, Ji Hyung & Dixon, R. A.
Partner: UNT College of Science
open access

Initial Response to COVID-19: A Mixed-Methods Analysis of Media and School Communications to Identify Pedagogical Implications for Remote Teaching

Description: Article examining one month of social media, news media, school district websites’ continuity plans and educational affiliate organizations, to unveil K-12 stakeholders’ initial response to K-12 remote teaching following the declaration of the national emergency of the COVID-19 pandemic in the USA. Initial responses focused on community lockdown procedures, sustaining education, adapting to a remote lifestyle and political tension. The authors revisited included tweets one week later to measure… more
Date: December 4, 2020
Creator: Eutsler, Lauren; Antonenko, Pavlo D. & Mitchell, Chrystine
Partner: UNT College of Education
open access

Spatial Engineering Direct Cooperativity between Binding Sites for Uranium Sequestration

Description: This article gives a full account of the conceptual and experimental development from randomly distributed functionalities to a convergent arrangement that facilitates cooperative binding is given, thus conferring exceptional affinity toward the analyte of interest. The concept presented here uncovers a new paradigm in the design of efficient sorbent materials by manipulating the spatial distribution to amplify the cooperation of functions.
Date: December 4, 2020
Creator: Sun, Qi; Song, Yanpei; Aguila, Briana; Ivanov, Aleksandr S.; Bryantsev, Vyacheslav S. & Ma, Shengqian
Partner: UNT College of Science
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