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Theories and analyses of functionally graded circular plates (open access)

Theories and analyses of functionally graded circular plates

This article presents the governing equations and analytical solutions of the classical and shear deformation theories of functionally graded axisymmetric circular plates.
Date: June 12, 2021
Creator: Reddy, J. N.; Ruocco, Eugenio; Loya, Jose Antonio & Neves, Ana M. A.
Object Type: Article
System: The UNT Digital Library
A 2.53 NEF 8-bit 10 kS/s 0.5 µm CMOS Neural Recording Read-Out Circuit with High Linearity for Neuromodulation Implants (open access)

A 2.53 NEF 8-bit 10 kS/s 0.5 µm CMOS Neural Recording Read-Out Circuit with High Linearity for Neuromodulation Implants

This article presents a power-efficient complementary metal-oxide-semiconductor (CMOS) neural signal-recording read-out circuit for multichannel neuromodulation implants.
Date: March 3, 2021
Creator: Tasneem, Nishat Tarannum & Mahbub, Ifana
Object Type: Article
System: The UNT Digital Library
Urban land-use analysis using proximate sensing imagery: a survey (open access)

Urban land-use analysis using proximate sensing imagery: a survey

This article reviews and summarizes the state-of-the-art methods and publicly available data sets from proximate sensing to support land-use analysis. Discussions highlight the challenges, strategies, and opportunities faced by the existing methods using proximate sensing imagery in urban land-use studies.
Date: November 30, 2020
Creator: Qiao, Zhinan & Yuan, Xiaohui
Object Type: Article
System: The UNT Digital Library
Enabling Multi-scale Modeling by Deciphering Fundamental Mechanisms Underlying Phase Stability, Deformation and Oxidation in Refractory Complex Concentrated Alloys (RCCAs) and Intermetallics (open access)

Enabling Multi-scale Modeling by Deciphering Fundamental Mechanisms Underlying Phase Stability, Deformation and Oxidation in Refractory Complex Concentrated Alloys (RCCAs) and Intermetallics

Data management plan for the research project "Enabling Multi-scale Modeling by Deciphering Fundamental Mechanisms Underlying Phase Stability, Deformation and Oxidation in Refractory Complex Concentrated Alloys (RCCAs) and Intermetallics."
Date: 2021-09-15/2025-09-25
Creator: Banerjee, Rajarshi
Object Type: Text
System: The UNT Digital Library
Collaborative Research: CCRI: Planning: A Multilayer Network (MLN) Community Infrastructure for Data,Interaction,Visualization, and softwarE(MLN-DIVE) (open access)

Collaborative Research: CCRI: Planning: A Multilayer Network (MLN) Community Infrastructure for Data,Interaction,Visualization, and softwarE(MLN-DIVE)

Data management plan for the grant "Collaborative Research: CCRI: Planning: A Multilayer Network (MLN) Community Infrastructure for Data,Interaction,Visualization, and softwarE(MLN-DIVE)." Research relating to creating a community infrastructure for researchers using multilayer networks (MLN). This project uses a formally established network decoupling approach to perform various aggregate analysis (community, centrality, substructure detection, etc.) using individual layers and composing them. The broader impact of this planning project is to provide meaningful and appropriate analysis tools that are grounded in theory to a broad range of applications from different domains. The focus is on facilitating the mainstream use of multilayer network analysis in data analysis, research and teaching.
Date: 2021-10-01/2022-09-30
Creator: Bhowmick, Sanjukta
Object Type: Text
System: The UNT Digital Library
Collaborative Research: SaTC: CORE: Small: Privacy protection of Vehicles location in Spatial Crowdsourcing under realistic adversarial models (open access)

Collaborative Research: SaTC: CORE: Small: Privacy protection of Vehicles location in Spatial Crowdsourcing under realistic adversarial models

Data management plan for the grant, "Collaborative Research: SaTC: CORE: Small: Privacy protection of Vehicles location in Spatial Crowdsourcing under realistic adversarial models." Research to develop new location privacy protection techniques by considering vehicles’ mobility features in the road network, and consequently lead to a more secure and trustworthy computing environment in location-based services (LBSs). As privacy concerns are still among the main obstacles for mobile users to participate in many advanced LBSs, this project is poised to contribute to the wider adoption of LBSs for many applications (e.g. navigation systems and location-based recommendation systems). The project will also provide a set of diverse and interesting topics for undergraduate and graduate students and outreach activities for the community.
Date: 2021-07-01/2023-12-31
Creator: Qiu, Chenxi
Object Type: Text
System: The UNT Digital Library
The Influence of Aortic Valve Hemodynamics and LVAD on bio-transport processes in Calcific Aortic Valve Disease (open access)

The Influence of Aortic Valve Hemodynamics and LVAD on bio-transport processes in Calcific Aortic Valve Disease

Data management plan for the grant "The Influence of Aortic Valve Hemodynamics and LVAD on bio-transport processes in Calcific Aortic Valve Disease." One of the most common valvular heart diseases is the development of calcific aortic valve (CAV). The goal of this research is to understand the transport and near-wall accumulation of Low-Density Lipoprotein (LDL), which play a key role in the CAV development, with and without altered transvalvular pressure gradient due to LVADs. This will be achieved by developing the first computational model of biochemical transport near the highly deforming aortic valve, in which the hemodynamics and LDL mass transport are coupled with the biomechanical response of the valve, using a FSI framework formed around an innovative supreme immersed boundary (SIB) method.
Date: 2021-09-01/2024-08-31
Creator: Sadat-Hosseini, Hamid
Object Type: Text
System: The UNT Digital Library
Co-introduction of precipitate hardening and TRIP in a TWIP high-entropy alloy using friction stir alloying (open access)

Co-introduction of precipitate hardening and TRIP in a TWIP high-entropy alloy using friction stir alloying

Article exploring friction stir alloying (FSA) to tune the microstructure and a composition of a TWIP high-entropy alloy by adding Ti, and thus activating site-specific deformation mechanisms that occur concomitantly in a single alloy. This approach presents a novel microstructural architecture to design alloys, an approach that combines and optimizes local compositions such that multiple deformation mechanisms can be activated to enhance engineering properties.
Date: January 15, 2021
Creator: Wang, Tianhao; Shukla, Shivakant; Gwalani, Bharat; Sinha, S.; Thapliyal, Saket; Frank, Michael et al.
Object Type: Article
System: The UNT Digital Library
Tribo-corrosion response of additively manufactured high-entropy alloy (open access)

Tribo-corrosion response of additively manufactured high-entropy alloy

Article highlighting the potential of utilizing additive manufacturing of HEAs for use in extreme environments that require a combination of tribo-corrosion resistance, mechanical durability, extended service life, and net shaping with low dimensional tolerance.
Date: June 11, 2021
Creator: Shittu, Jibril; Sadeghilaridjani, Maryam; Pole, M.; Muskeri, Saideep; Ren, Jie; Liu, Yanfang et al.
Object Type: Article
System: The UNT Digital Library
First principles computation of composition dependent elastic constants of omega in titanium alloys: implications on mechanical behavior (open access)

First principles computation of composition dependent elastic constants of omega in titanium alloys: implications on mechanical behavior

Article on the poor mechanical properties of Ti alloys. The study shows that the elastic properties of the ω-phase can be systematically varied as a function of its composition to enhance both the ductility and strength of the Ti-alloy. Furthermore, that ω precipitates are not intrinsically embrittling and detrimental and that Ti-alloys can be created with both good ductility and strength by tailoring ω precipitates' composition instead of completely eliminating them.
Date: June 7, 2021
Creator: Salloom, Riyadh; Mantri, Srinivas Aditya; Banerjee, Rajarshi & Srinivasan, S. G.
Object Type: Article
System: The UNT Digital Library

Spectroscopic, structural, and strain-dependent analysis of suspended bulk WSe2 sheets

Article utilizing Raman spectroscopy and photoluminescence (PL) spectroscopy to analyze the phononic and electronic parameters in suspended bulk WSe₂ sheets, fabricated utilizing photolithography and wet chemical etching. The findings of this work will be beneficial in analyzing thermal, optical, and mechanical properties of WSe₂ in a suspended platform for its application in electronic, thermoelectric, and mechanical sensors in the future.
Date: February 8, 2022
Creator: Bandyopadhyay, Avra S. & Kaul, Anupama
Object Type: Article
System: The UNT Digital Library
BAM: A Block-Based Bayesian Method for Detecting Genome-Wide Associations with Multiple Diseases (open access)

BAM: A Block-Based Bayesian Method for Detecting Genome-Wide Associations with Multiple Diseases

Article proposes a novel Bayesian method, named BAM, for simultaneously partitioning Single Nucleotide Polymorphisms (SNPs) into Linkage Disequilibrium(LD)-blocks and detecting genome-wide multi-locus epistatic interactions that are associated with multiple diseases. Experimental results on the simulated datasets demonstrate that BAM is powerful and efficient.
Date: April 16, 2020
Creator: Guo, Xuan; Wu, Guanying & Xu, Baohua
Object Type: Article
System: The UNT Digital Library
Fine-Grained Emotion Detection in Health-Related Online Posts (open access)

Fine-Grained Emotion Detection in Health-Related Online Posts

This article detects fine-grained emotion types from health-related posts and shows how high-level and abstract features derived from deep neural networks combined with lexicon-based features can be employed to detect emotions.
Date: 2018
Creator: Khanpour, Hamed & Caragea, Cornelia
Object Type: Article
System: The UNT Digital Library
Characterizing Interactions and Relationships between People (open access)

Characterizing Interactions and Relationships between People

Article presents a set of dimensions to characterize the association between two people. The authors introduce and analyze a new corpus, and present experimental results showing that the task can be automated.
Date: 2018
Creator: Rashid, Farzana & Blanco, Eduardo
Object Type: Article
System: The UNT Digital Library
A New Cable-Less Seismograph with Functions of Real-Time Data Transmitting and High-Precision Differential Self-Positioning (open access)

A New Cable-Less Seismograph with Functions of Real-Time Data Transmitting and High-Precision Differential Self-Positioning

This article developed a new cable-less seismograph system, which can transmit seismic data in real-time and automatically perform high-precision differential self-positioning. Combining the ZigBee technology with the high-precision differential positioning module, this new seismograph system utilized the wireless personal area network (WPAN) and real-time kinematic (RTK) technologies to improve its on-site performances and to make the field quality control (QC) and self-positioning possible. With the advantages of low-cost, good scalability, and good compatibility, the proposed new cable-less seismograph system can improve the field working efficiency and data processing capability. It has potential applications in noise seismology and mobile seismic monitoring.
Date: July 19, 2020
Creator: Liu, Kang; You, Qingyu; Wang, Juan; Xu, Xiqiang; Shi, Pengcheng; Dai, Kaoshan et al.
Object Type: Article
System: The UNT Digital Library
Annotating Temporally-Anchored Spatial Knowledge by Leveraging Syntactic Dependencies (open access)

Annotating Temporally-Anchored Spatial Knowledge by Leveraging Syntactic Dependencies

Article presenting a two-step methodology to annotate temporally-anchored spatial knowledge on top of OntoNotes.
Date: May 2018
Creator: Vempala, Alakananda & Blanco, Eduardo
Object Type: Article
System: The UNT Digital Library
Annotating Reflections for Health Behavior Change Therapy (open access)

Annotating Reflections for Health Behavior Change Therapy

Article presents work on annotating reflections, an essential counselor behavioral code in motivational interviewing for psychotherapy on conversations that are a combination of casual and therapeutic dialogue.
Date: May 2018
Creator: Guntakandla, Nishitha & Nielsen, Rodney D.
Object Type: Article
System: The UNT Digital Library
Physical and optical properties of the International Simple Glass (open access)

Physical and optical properties of the International Simple Glass

This article presents physical property data (both published and previously unpublished) on a single batch of International Simple Glass (ISG), which was cast into individual ingots that were distributed to the collaborators. Properties from the atomic scale to the macroscale, including composition and elemental impurities, phase purity, density, thermal properties, mechanical properties, optical and vibrational properties, and the results of molecular dynamics simulations are presented, as well as information on the surface composition and morphology after polishing. Although the existing literature on the alteration of ISG is not extensively reviewed here, the results of well-controlled static alteration experiments are presented here as a point of reference for other performance investigations.
Date: May 8, 2018
Creator: Kaspar, Tiffany C.; Ryan, Joseph V.; Pantano, Carlo G.; Rice, Jarrett; Trivelpiece, Cory; Hyatt, Neil C. et al.
Object Type: Article
System: The UNT Digital Library
Plasmon-resonance emission tailoring of “origami” graphene-covered photonic gratings (open access)

Plasmon-resonance emission tailoring of “origami” graphene-covered photonic gratings

Article focusing on the modification of optical properties through folding, or “origami,” of graphene covering a plasmonic metal channel grating. This work is especially critical to understanding tailored deep plasmon emission from geometrically-modulated conducting sheets such as graphene.
Date: July 16, 2020
Creator: Araki, Ken & Zhang, Richard Z.
Object Type: Article
System: The UNT Digital Library
Sodium Lignosulfonate Modified Polystyrene for the Removal of Phenol from Wastewater (open access)

Sodium Lignosulfonate Modified Polystyrene for the Removal of Phenol from Wastewater

Article synthesizing an eco-friendly and novel water treatment material using sodium lignosulfonate modified polystyrene (SLPS), which can be used to eliminate phenols in aqueous solution. Results show that SLPS displayed a great potential for eliminating phenol from polluted water as a kind of novel and effective adsorbent.
Date: October 27, 2020
Creator: Yang, Keyan; Xing, Jingchen; Chang, Jianmin; Gu, Fei; Li, Zheng; Huang, Zhenhua et al.
Object Type: Article
System: The UNT Digital Library
Insights into the mechanisms controlling the residual corrosion rate of borosilicate glasses (open access)

Insights into the mechanisms controlling the residual corrosion rate of borosilicate glasses

Article examining the glass durability and residual rate of borosilicate glass. The authors focus on the behavior of the soluble elements of the International Simple Glass (B, Na, and Ca) to show that the residual rate is controlled by the behavior of B, a glass former supposed to dissolve instantaneously when in contact with water and thus widely considered as an ideal tracer. The article demonstrates that B release is controlled by multiple processes highly dependent on the pH. A new paradigm, including B as a key element of the system, is proposed to develop a comprehensive model for the corrosion of borosilicate glass.
Date: December 11, 2020
Creator: Gin, Stéphane; Guo, Xiaolei; Delaye, Jean-Marc; Angeli, Frédéric; Damodaran, Kamalesh; Testud, Véronique et al.
Object Type: Article
System: The UNT Digital Library
Can a simple topological-constraints-based model predict the initial dissolution rate of borosilicate and aluminosilicate glasses? (open access)

Can a simple topological-constraints-based model predict the initial dissolution rate of borosilicate and aluminosilicate glasses?

This article, as an alternative route to empirical models, shows that a structural descriptor based on the number of topological constraints per atom can be used to predict the initial dissolution rate of aluminosilicate and borosilicate glasses after being parameterized on different families of glasses (specific series of borosilicate glasses). Results show that, provided that corrections are made for high alkali content glasses that dissolve incongruently (preferential release of Na), the model gives reasonable predictions, even far from its training domain.
Date: March 16, 2020
Creator: Gin, Stéphane; Wang, Mengyi; Bisbrouck, Nicolas; Taron, Mélanie; Lu, Xiaonan; Deng, Lu et al.
Object Type: Article
System: The UNT Digital Library
Compostable, fully biobased foams using PLA and micro cellulose for zero energy buildings (open access)

Compostable, fully biobased foams using PLA and micro cellulose for zero energy buildings

Article examining foams made from polylactic acid (PLA) and micro cellulose fibrils (MCF) to address the need for bio-resourced foams for the building industry.
Date: October 20, 2020
Creator: Oluwabunmi, Kayode; D'Souza, Nandika Anne, 1967-; Zhao, Weihuan; Choi, Tae-Youl & Theyson, Thomas
Object Type: Article
System: The UNT Digital Library
Massive MIMO Systems for 5G and beyond Networks—Overview, Recent Trends, Challenges, and Future Research Direction (open access)

Massive MIMO Systems for 5G and beyond Networks—Overview, Recent Trends, Challenges, and Future Research Direction

This article presents a comprehensive overview of the key enabling technologies required for 5G and 6G networks, highlighting the massive MIMO systems. The authors discuss the fundamental challenges related to pilot contamination, channel estimation, precoding, user scheduling, energy efficiency, and signal detection in massive MIMO systems and discuss state-of-the-art mitigation techniques. Recent trends such as terahertz communication, ultra massive MIMO (UM-MIMO), visible light communication (VLC), machine learning, and deep learning for massive MIMO systems are outlined. Finally, future research for massive MIMO systems for 5G and beyond is discussed.
Date: May 12, 2020
Creator: Chataut, Robin & Akl, Robert G.
Object Type: Article
System: The UNT Digital Library