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Fabrication of densified wood via synergy of chemical pretreatment, hot-pressing and post mechanical fixation
Article describes examination of the appearance, color, chemical composition, and physiology and mechanical properties of densified Abies wood before and after densification treatment using a colorimeter, FTIR and mechanical testing machine.
Date:
January 30, 2020
Creator:
Shi, Jiangtao; Peng, Junyi; Huang, Qiongtao; Cai, Liping & Shi, Sheldon
Object Type:
Article
System:
The UNT Digital Library
Extended CT Void Analysis in FDM Additive Manufacturing Components
This article provides an extended analysis of void shape by means of X-ray computed tomography (CT) applied to fused deposition modeling (FDM) samples. Furthermore, a relation between the tensile mechanical properties and digital void measurements is established. The results lead to the formulation of a novel criterion that predicts the mechanical behavior of AM components.
Date:
July 26, 2020
Creator:
Hernandez-Contreras, Adriana; Ruiz-Huerta, Leopoldo; Caballero-Ruiz, Alberto; Moock, Verena & Siller Carrillo, Héctor Rafael
Object Type:
Article
System:
The UNT Digital Library
Inks of dielectric h-BN and semiconducting WS₂ for capacitive structures with graphene
This article presents dispersions of WS₂ and h-BN using cyclohexanone and terpineol as the solvent to subsequently print prototype capacitive nanodevices.
Date:
July 30, 2020
Creator:
Desai, Jay A.; Mazumder, Sangram; Hossain, Ridwan Fayaz & Kaul, Anupama
Object Type:
Article
System:
The UNT Digital Library
JS-MA: A Jensen-Shannon Divergence Based Method for Mapping Genome-Wide Associations on Multiple Diseases
Article develops a a simple, fast, and powerful method, named JS-MA, based on Jensen-Shannon divergence and agglomerative hierarchical clustering, to detect the genome-wide multi-locus interactions associated with multiple diseases.
Date:
October 30, 2020
Creator:
Guo, Xuan
Object Type:
Article
System:
The UNT Digital Library
In-vitro biomineralization and biocompatibility of friction stir additively manufactured AZ31B magnesium alloy-hydroxyapatite composites
Article presents research where friction stir additive manufacturing technique was employed to fabricate AZ31B magnesium-hydroxyapatite composite. The study aims to evaluate effect of hydroxyapatite (HA, Ca₁₀(PO₄)₆OH₂), a ceramic similar to natural bone, into AZ31B Mg alloy matrix on biomineralization and biocompatibility.
Date:
June 30, 2020
Creator:
Ho, Yee-Hsien; Man, Kun; Joshi, Sameehan; Pantawane, Mangesh V.; Wu, Tso-Chang; Yang, Yong et al.
Object Type:
Article
System:
The UNT Digital Library
Optic-nerve-head (ONH) Chips for Glaucomatous Neurodegeneration
Data management plan for the grant, "Optic-nerve-head (ONH) Chips for Glaucomatous Neurodegeneration." The most prominent causative risk factor of glaucoma, the leading cause of irreversible blindness worldwide, is elevated intraocular pressure (IOP), which could deform the optic nerve head (ONH) and cause glaucomatous neurodegeneration. However, current glaucoma therapies that focus on lowering IOP do not stop vision loss effectively, and thus there is a pressing need to understand the mechanisms underlying glaucoma pathogenesis. In this project, we will develop a biomimetic 3-D ONH-on-a-chip system that closely mimics the key anatomical and pathophysiological characteristics of the native ONH to study astrocytic mechanisms of glaucoma pathogenesis, a missing link to develop efficacious therapies.
Date:
2022-09-30/2025-05-31
Creator:
Yang, Yong
Object Type:
Text
System:
The UNT Digital Library
NRPreTo: A Machine Learning-Based Nuclear Receptor and Subfamily Prediction Tool
Article asserts that the nuclear receptor (NR) superfamily includes phylogenetically related ligand-activated proteins, which play a key role in various cellular activities. The authors developed Nuclear Receptor Prediction Tool (NRPreTo), a two-level NR prediction tool with a unique training approach where in addition to the sequence-based features used by existing NR prediction tools, six additional feature groups depicting various physiochemical, structural, and evolutionary features of proteins were utilized.
Date:
May 30, 2023
Creator:
Madugula, Sita Sirisha; Pandey, Suman; Amalapurapu, Shreya & Bozdag, Serdar
Object Type:
Article
System:
The UNT Digital Library
PPAD: a deep learning architecture to predict progression of Alzheimer’s disease
Article asserts that Alzheimer’s disease (AD) is a neurodegenerative disease that affects millions of people worldwide. The authors of the article propose two deep learning architectures based on RNN, namely Predicting Progression of Alzheimer’s Disease (PPAD) and PPAD-Autoencoder.
Date:
June 30, 2023
Creator:
Olaimat, Mohammad Al; Martinez, Jared; Saeed, Fahad & Bozdag, Serdar
Object Type:
Article
System:
The UNT Digital Library
Securing Industrial Control Systems: Components, Cyber Threats, and Machine Learning-Driven Defense Strategies
Article describes how Industrial Control Systems (ICS), which include Supervisory Control and Data Acquisition (SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers (PLC), play a crucial role in managing and regulating industrial processes. This article presents an overview of ICS security, covering its components, protocols, industrial applications, and performance aspects.
Date:
October 30, 2023
Creator:
Nankya, Mary; Chataut, Robin & Akl, Robert
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
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