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Pareto Optimization of CNN Models via Hardware-Aware Neural Architecture Search for Drainage Crossing Classification on Resource-Limited Devices
Article describes how embedded devices, constrained by limited memory and processors, require deep learning models to be tailored to their specifications. This research explores customized model architectures for classifying drainage crossing images.
Date:
November 12, 2023
Creator:
Li, Yuke; Baik, Jiwon; Rahman, Md Marufi; Anagnostopoulos, Iraklis; Li, Ruopu & Shu, Tong
Object Type:
Article
System:
The UNT Digital Library
Detergent-Based Decellularization for Anisotropic Cardiac-Specific Extracellular Matrix Scaffold Generation
Article describes how cell-derived extracellular matrix has become increasingly popular in tissue engineering applications due to its ability to provide tailored signals for desirable cellular responses. The objective of this study was to assess the efficacy of two detergent-based decellularization methods: a combination of ethylenediaminetetraacetic acid and sodium dodecyl sulfate and a combination of sodium deoxycholate and deoxyribonuclease.
Date:
November 17, 2023
Creator:
Chen, Te-An; Sharma, Dhavan; Jia, Wenkai; Ha, Donggi; Man, Kun; Zhang, Jianhua et al.
Object Type:
Article
System:
The UNT Digital Library
Cultivating Cooperation: Creating the Vendor Reciprocity Scale
Presentation on the development of a Vendor Reciprocity Scale (VRS) by the University of North Texas Libraries as a way to download institutional knowledge of patterns of vendor behavior, and the presentation encouraged thoughtful and productive discussion on our collective knowledge surrounding best practices in business partnerships and negotiations as a way to help refine the VRS.
Date:
November 8, 2023
Creator:
Rodriguez, Allyson; Dawson, Jill; Peebles, Emily & Sterling, Jennifer
Object Type:
Presentation
System:
The UNT Digital Library
A general large-scale synthesis approach for crystalline porous materials
Article describes how crystalline porous materials such as covalent organic frameworks (COFs) metal-organic frameworks (MOFs) and porous organic changes (POCs) have been widely applied in various fields with outstanding performances. In this work, the authors developed a general approach comprising high pressure homogenization (HPH), which can realize large-scale synthesis of crystalline porous materials including COFs, MOFs, and POCs under benign conditions.
Date:
November 2, 2023
Creator:
Liu, Xiongli; Wang, An; Wang, Chunping; Li, Jinli; Zhang, Zhiyuan; Al-Enizi, Abdullah M. et al.
Object Type:
Article
System:
The UNT Digital Library
A globally synthesized and flagged bee occurrence dataset and cleaning workflow
Article describes how species occurrence data is foundational for research, conservation, and science communication, but the limited availability and accessibility of reliable data represents a major obstacle, particularly for insects, which face mounting pressures. The authors harmonized species names, country names, and collection dates and, we added record-level flags for a series of potential quality issues.
Date:
November 2, 2023
Creator:
Dorey, James B.; Fischer, Erica E.; Chesshire, Paige R.; Nava-Bolaños, Angela; O'Reilly, Robert L.; Bossert, Silas et al.
Object Type:
Article
System:
The UNT Digital Library
Reconstructing aerosol optical depth using spatiotemporal Long Short-Term Memory convolutional autoencoder
Article describes how Aerosol Optical Depth (AOD)is a crucial atmospheric parameter in comprehending climate change, air quality, and its impacts on human health. This study presents a new solution to this challenge by providing a long-term, gapless satellite-derived AOD dataset for Texas from 2010 to 2022, utilizing Moderate Resolution Imaging Spectroradiometer (MODIS) multi-angle implementation of atmospheric correction (MAIAC) products.
Date:
November 30, 2023
Creator:
Liang, Lu; Daniels, Jacob; Biancardi, Micahel & Zhou, Yuye
Object Type:
Article
System:
The UNT Digital Library
Plexcitonic interactions in spherical and bi-pyramidical Au nanoparticles with monolayer WSe₂
Article describes how plasmons associated with zero-dimensional (0D) metal nanoparticles and their synergistic interactions with excitons in two-dimensional (2D) semiconductors offer opportunities for remarkable spectral tunability not otherwise evident in the pristine parent materials, which necessitates an in-depth study elucidating the nature of the plasmonic and excitonic interactions, jointly referred to as plexcitons in order to understand the foundational aspects of the light–matter interactions in hybrid 0D–2D systems. The authors examine the plexcitonic interactions of van der Waals (vdWs) hybrid structures composed of 2D WSe2 and 0D Au nanoparticles (Au-NPs) in their spherical (Au-Sp) and bi-pyramidical (Au-BP) architectures, which demonstrates that geometry-mediated response of the AuNPs provides another degree of freedom to modulate the carrier photodynamics in WSe₂.
Date:
November 15, 2022
Creator:
Jayanand, Kishan & Kaul, Anupama
Object Type:
Article
System:
The UNT Digital Library
Laser printed amorphous magnesium alloy: Microstructure, mechanical properties, and degradation behavior
Article describes how, amorphous magnesium alloy, especially Mg-Zn-Ca series, has been receiving continuous attention in biomedical field, because of its favorable corrosion resistance, suitable modulus and biocompatibility. In this work, laser powder bed fusing with unique characteristics of rapid solidification and layer-by-layer fashion was used to fabricate bulk Mg-Zn-Ca and Mg-Zn-Ca-Y amorphous parts.
Date:
November 23, 2023
Creator:
Chen, Cheng; Li, Shaoyu; Ling, Chenrong; Yang, Youwen; Gao, Chengde; Li, Yageng et al.
Object Type:
Article
System:
The UNT Digital Library
The 2023 China report of the Lancet Countdown on health and climate change: taking stock for a thriving future
Authors of the article declare that, with growing health risks from climate change and a trend of increasing carbon emissions from coal, it is time for China to take action. The 2023 China report of the Lancet countdown continues to track progress on health and climate change in China, while now also attributing the health risks of climate change to human activities and providing examples of feasible and effective climate solutions.
Date:
November 18, 2023
Creator:
Zhang, Shihui; Zhang, Chi; Cai, Wenjia; Bai, Yuqi; Callaghan, Max; Chang, Nan et al.
Object Type:
Article
System:
The UNT Digital Library
Heritage as businesses: COVID-19 disruptions to Texas museum, heritage sites, parks, and protected places, and their responses to evolving guidance
Article describes how the COVID-19 pandemic disrupted business services across all industries. In this study, the authors examine the impact during the first year of the COVID-19 pandemic on Texas museums, heritage sites, parks, and protected places with a focus on the evolving, and often conflicting, government policies.
Date:
November 27, 2023
Creator:
Lavy, Brendan L.; Zavar, Elyse & Tamima, Salvesila
Object Type:
Article
System:
The UNT Digital Library
Evaluating Nitrogen Management Practices for Greenhouse Gas Emission Reduction in a Maize Farmland in the North China Plain: Adapting to Climate Change
Article describes how quantification of the trade-offs among greenhouse gas emissions, yield, and farmers' incomes is essential for proposing economic and environmental nitrogen (N) management strategies for optimizing agricultural production. A four year field experiment was conducted on maize in the North China Plain.
Date:
November 2, 2023
Creator:
He, Huayun; Hu, Qi; Pan, Feifei & Pan, Xuebiao
Object Type:
Article
System:
The UNT Digital Library
The Interface Strengthening of Multi-Walled Carbon Nanotubes/Polylactic Acid Composites via the In-Loop Hybrid Manufacturing Method
Article describes how in this study, a new in-loop hybrid manufacturing method is proposed for fabricating multi-walled carbon nanotube (MWCNTs)/polylactic acid (PLA) composites. Molecular dynamics simulations were conducted in conjunction with experiments to reveal the mechanism of the proposed method for improving the interfacial performance of MWCNTs/PLA.
Date:
November 16, 2023
Creator:
Li, Hongbin; Jiang, Zhuang; Li, Zhihua; Peng, Yubao; Zhang, Qiushuang & Xiao, Xinyi
Object Type:
Article
System:
The UNT Digital Library
Properties of Hyper-Elastic-Graded Triply Periodic Minimal Surfaces
Article describes how the mechanical behaviors of three distinct lattice structures-Diamond, Gyroid, and Schwarz-synthesized through vat polymerization were meticulously analyzed. This study aimed to elucidate the intricacies of these structures in terms of their stress-strain responses.
Date:
November 21, 2023
Creator:
Haney, Christopher W. & Siller Carrillo, Héctor Rafael
Object Type:
Article
System:
The UNT Digital Library
Scaling Students' Self-Efficacy on Machine Translation Post-Editing: Psychometric Properties of the Scale and Their Associations
Article describes how Machine Translation Post-Editing has emerged as a productivity-enhancing practice in the language service industry, where human editors correct the output of machine translation systems. this research paper aims to assess students' self-efficacy in translation learning, specifically in the context of MTPE, and explore the factor structure, psychometric properties, and internal associations of their self-efficacy.
Date:
November 1, 2023
Creator:
Li, Qing & Huang, Tai-yi
Object Type:
Article
System:
The UNT Digital Library
Accuracy-Constrained Efficiency Optimization and GPU Profiling of CNN Inference for Detecting Drainage Crossing Locations
Article describes how the accurate and efficient determination of hydrologic connectivity has garnered significant attention from both academic and industrial sectors due to its critical implications for environment management. To address these challenges, the focus of the author's study is on detecting drainage crossings through the application of advanced convolutional neural networks.
Date:
November 12, 2023
Creator:
Zhang, Yicheng; Pandey, Dhroov; Wu, Di; Kundu, Turja; Li, Ruopu & Shu, Tong
Object Type:
Article
System:
The UNT Digital Library
Spatial Analysis and visual Communication of Emergency Information through Augmented Reality
Article describes how during emergencies like fire and smoke or active shooter events, there is a need to address the vulnerability and assess plans for evacuation. This paper presents the development and evaluation of the mobile augmented reality application designed specifically for acquiring spatial analysis, situational awareness, and visual communication.
Date:
November 2023
Creator:
Sharma, Sharad & Pesaladinne, Rishitha R.
Object Type:
Article
System:
The UNT Digital Library
A Novel ppb-Level Sensitive and Highly Selective Europium-Based Diketone Luminescent Sensor for the Quantitative Detection of Aluminum Ions in Water Samples
Article describes how a novel Eu(tta)3([4,4′-(t-bu)2-2,2′-bpy)] complex (tta-thenoyltrifluoroacetone), a ratiometric luminescent-based optical sensor for the quantitative determination of aluminum ion, is synthesized and characterized using XRD and 1H NMR. The sensor reported here is tested for 11 common cations and shows no interference on sensitivity. According to the authors, this is the first known Eu-based luminescence sensor that successfully exhibited the ability to detect aluminum ions in ppb levels in aqueous environments.
Date:
November 6, 2023
Creator:
Rajitha Perera, Nawagamu A. K.; Shankar, Sindhu K.; Archambault, Cynthia M.; Nesterov, Vladimir N.; Marpu, Sreekar; Yan, Hao et al.
Object Type:
Article
System:
The UNT Digital Library
Silicon versus Superbug: Assessing Machine Learning's Role in the Fight against Antimicrobial Resistance
Article describes how, in his 1945 Nobel Prize acceptance speech, Sir Alexander Fleming warned of antimicrobial resistance (AMR) if the necessary precautions were not taken diligently. This paper explores the applications of ML in predicting and understanding AMR, highlighting its potential in revolutionizing healthcare practices.
Date:
November 8, 2023
Creator:
Coxe, Tallon & Azad, Rajeev K.
Object Type:
Article
System:
The UNT Digital Library
An Optimized Control System for the Independent Control of the Inputs of the Doherty Power Amplifier
Article describes how this study presents a systematic design of an optimized drive signal control system for 2.5 GHz Doherty power amplifiers (DPAs). In this manuscript, the authors analyzed and compared the PAE of the DPA and parallel-connected PA for diverse input signals generated using a designed optimized control system
Date:
November 14, 2023
Creator:
Sah, Pallav Kumar; Poulton, Matthew; Luyen, Hung & Mahbub, Ifana
Object Type:
Article
System:
The UNT Digital Library
Phase-Specific Damage Tolerance of a Eutectic High Entropy Alloy
Article describes how phase-specific damage tolerance was investigated for the AlCoCrFeNi2.1 high entropy alloy with a lamellar microstructure of L12 and B2 phases. Distinct differences in micro-scale deformation mechanisms were reflected in post-compression fractography, with L12-phase cantilevers showing typical characteristics of ductile failure, including the activation of multiple slip lanes, shear lips at the notch edge, and tearing inside the notch versus quasi-cleavage fracture with cleavage facets and a river pattern on the fracture surface for the B2-phase cantilevers.
Date:
November 30, 2023
Creator:
Jha, Shristy; Mishra, R. S. & Mukherjee, Sundeep
Object Type:
Article
System:
The UNT Digital Library
Using Machine Learning to Predict Genes Underlying Differentiation of Multipartite and Unipartite Traits in Bacteria
Article describes how, since the discovery of the second chromosome in the Rhodobacter spaeroides 2.4.1 in 1989 and the revelation of gene sequences, multipartite genomes have been reported in over three hundred bacterial species under nine different phyla. In this study, the authors have attempted to leverage machine learning as a means to identify the genetic factors that underlie the differentiation of bacteria with multipartite and unipartite genomes.
Date:
November 13, 2023
Creator:
Almalki, Fatemah; Sunuwar, Janak & Azad, Rajeev K.
Object Type:
Article
System:
The UNT Digital Library
A gene network-driven approach to infer novel pathogenicity-associated genes: application to Pseudomonas aeruginosa PAO1
Article describes how within the genome of a pathogen is the information regarding factors responsible for its pathogenicity. the authors of the article developed a novel pipeline that uses standard protocol in combination with gene co-expression network of a pathogen constructed using publicly available RNA-Seq data sets.
Date:
November 3, 2023
Creator:
De, Ronika; Whiteley, Marvin & Aza, Rajeev K.
Object Type:
Article
System:
The UNT Digital Library