Polydimethylsiloxane and polyisoprene-based graphene composites for strain-sensing (open access)

Polydimethylsiloxane and polyisoprene-based graphene composites for strain-sensing

In this article, different composite materials have been developed and characterized for different applications in the health science field and as optoelectromechanical sensors.
Date: March 31, 2017
Creator: Catalan Gonzalez, Jorge Alfredo & Kaul, Anupama
Object Type: Article
System: The UNT Digital Library
An investigation on the concrete properties containing colemanite (open access)

An investigation on the concrete properties containing colemanite

This article summarizes the results of an investigation on the effect of the colemanite on physical and mechanical properties of concrete using colemanite as replacement aggregate.
Date: March 31, 2010
Creator: Gencel, Osman; Brostow, Witold, 1934-; Ozel, Cengiz & Filiz, Mümin
Object Type: Article
System: The UNT Digital Library
Preparation of functional fiber hybrid enhanced high strength and multifunctional protein based adhesive (open access)

Preparation of functional fiber hybrid enhanced high strength and multifunctional protein based adhesive

Article discusses how protein based adhesive is limited by poor mechanical properties and water resistance. This simple and green preparation method provided a new strategy for the production of high-performance, multifunctional and economically effective SM based adhesive.
Date: October 31, 2022
Creator: Zhou, Ying; Zeng, Guodong; Zhang, Fudong; Tang, Zhijie; Luo, Jing; Li, Kuang et al.
Object Type: Article
System: The UNT Digital Library
Automated measurement of quality of mucosa inspection for colonscopy (open access)

Automated measurement of quality of mucosa inspection for colonscopy

This paper from the International Conference on Computational Science conference proceedings presents new methods that derive a new quality metric for automated scoring of quality of mucosa inspection performed by the endoscopist.
Date: May 31, 2010
Creator: Liu, Xuemin; Tavanapong, Wallapak; Wong, Johnny; Oh, JungHwan & de Groen, Piet C.
Object Type: Paper
System: The UNT Digital Library
Interrogating vertically oriented carbon nanofibers with nanomanipulation for nanoelectromechanical switching applications (open access)

Interrogating vertically oriented carbon nanofibers with nanomanipulation for nanoelectromechanical switching applications

Article demonstrates electrostatic switching in vertically oriented carbon nanofibers synthesized on refractory metallic nitride substrates, where pull-in voltages Vpi ranged from 10 to 40 V. A finite element model was also developed to determine a theoretical Vpi and results were compared to experiment.
Date: August 31, 2009
Creator: Kaul, Anupama; Khan, Abdur R.; Bagge, Leif; Megerian, Krikor G.; LeDuc, Henry G. & Epp, Larry
Object Type: Article
System: The UNT Digital Library
Nuclear Safety Testing and Analysis Research (NSTAR) Fellowship Program at the University of North Texas (open access)

Nuclear Safety Testing and Analysis Research (NSTAR) Fellowship Program at the University of North Texas

Data management plan for the grant "Nuclear Safety Testing and Analysis Research (NSTAR) Fellowship Program at the University of North Texas." The proposed NSTAR fellowship program at UNT aims to reinforce the workforce in the nuclear energy safety community by engaging the selected fellowship students (fellows) with interdisciplinary education and research. The overarching theme and research focus of the proposed NSTAR program is acoustics-based non-destructive testing and analysis and nanoparticle processing for thermal management applications. An interdisciplinary research team will investigate these research areas with backgrounds in mechanical engineering, material science, and/or physics. The program will fully support two fellows over four years including full tuition and stipends.
Date: 2023-03-31/2027-03-30
Creator: Choi, Tae-Youl
Object Type: Text
System: The UNT Digital Library
A Tough and Mildew-Proof Soybean-Based Adhesive Inspired by Mussel and Algae (open access)

A Tough and Mildew-Proof Soybean-Based Adhesive Inspired by Mussel and Algae

Describes the development of a strong mold-resistant adhesive by incorporating soybean meal and blood meal.
Date: March 31, 2020
Creator: Bai, Yue; Liu, Xiaorong; Shi, Sheldon & Li, Jianzhang
Object Type: Article
System: The UNT Digital Library
Soybean Meal-Based Wood Adhesive Enhanced by Phenol Hydroxymethylated Tannin Oligomer for Exterior Use (open access)

Soybean Meal-Based Wood Adhesive Enhanced by Phenol Hydroxymethylated Tannin Oligomer for Exterior Use

This article highlights a study of a bio adhesive was developed from soybean meal and larch tannin that was designed for exterior use. Phenol hydroxymethylated tannin oligomer (PHTO) was synthesized and then mixed with soybean meal flour in order to obtain a soybean meal-based adhesive (SPA). The results showed that the moisture absorption rate, residual rate, and solid content of SPA with 10 wt % PHTO (mass ratio with respect to the entire adhesive) were improved by 22.8%, 11.6%, and 6.8%, respectively, as compared with that of pure SPA.
Date: March 31, 2020
Creator: Chen, Mingsong; Zhang, Yi; Li, Yue; Shi, Sheldon; Li, Jianzhang; Gao, Qiang et al.
Object Type: Article
System: The UNT Digital Library
Carbon Capture Utilization for Biopolymer Foam Manufacture: Thermal, Mechanical and Acoustic Performance of PCL/PHBV CO2 Foams (open access)

Carbon Capture Utilization for Biopolymer Foam Manufacture: Thermal, Mechanical and Acoustic Performance of PCL/PHBV CO2 Foams

This article uses PCL to blend into PBHV. Both unfoamed and foamed blends are examined. The results provide a pathway to multifunctional performance in foams of high performance biopolymers such as PBHV through harnessing the CO₂ miscibility of PCL.
Date: July 31, 2021
Creator: Oluwabunmi, Kayode E.; Zhao, Weihuan & D'Souza, Nandika Anne, 1967-
Object Type: Article
System: The UNT Digital Library
Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing (open access)

Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing

Article discusses how with the wider adoption of edge computing services, intelligent edge devices, and high-speed V2X communication, compute-intensive tasks for autonomous vehicles, such as object detection using camera, LiDAR, and/or radar data, can be partially offloaded to road-side edge servers. The authors aim to address the privacy problem by protecting both vehicles' sensor data and the detection results.
Date: October 31, 2022
Creator: Bai, Tianyu; Fu, Song & Yang, Qing
Object Type: Article
System: The UNT Digital Library