Data management plan for the grant, "Increasing Skills in Accessibility through Integration in the Undergraduate Computer Science and Information Technology Curricula."

Data management plan for the grant, "Child Health and Human Development Extramural Research." This study will use the genome-edited human induced pluripotent stem cell (hiPSC) with NOTCH1 knockout to recapitulate the genetic variants of NOTCH1 mutation in the Hypoplastic left heart syndrome (HLHS). It will use advances in the vascularized cardiac organoid directly differentiated from hiPSCs to replay the development and function of cardiomyocytes, endothelial cells, smooth muscle cells, and other cardiac cells in a defined 3D cell culture model by stencil-based micropatterning. It will elucidate the pathogenesis of cardiovascular underdevelopment and dysfunction found in HLHS with NOTCH1 mutation via the NOTCHDELTA/JAG ligand-receptor binding and multicellular crosstalk by single-cell RNA-seq and proteomics analysis.

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.

Article provides an overview of recent progress in superlubricity research involving solid, liquid, and gaseous media and discuss the prospects for achieving superlubricity in engineering applications leading to greater efficiency, durability, environmental quality, and hence global sustainability.

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.

Data management plan for the grant, "Solid-State Additive Manufacturing of Durable Aluminum-Cerium Alloys for High-Temperature Aerospace Structural Applications."

Data management plan for the grant, "The University of North Texas Industrial Assessment Center."

Article is a study that designs a smart anode/liquid electrolyte interface for high energy density batteries that present large specific capacity retentions.

Article models work hardening response in TRIP HEAs under tensile deformation, which reflects the hardening due to synergistic activity of multiple deformation mechanisms, using a five-parameter work hardening model.

Article analyses the impact of Covid-19 on various cyber-security related aspects.

Data management plan for the grant, "Development of Physics-Informed Mathematical Models for Ship Extreme Responses in Ocean Waves."

Data management plan for the grant, "A Novel Hybrid-Mode Curved-shape SAW (CsSAW) Sensor For The In-Situ/RealTime Torque And Temperature Measurement of Rotor Shaft in Harsh Environments."

Data management plan for the grant, "Ultrawideband Near-Field Probe System for Antenna Research." The objective of this project is to acquire an ultrawideband near-field probe system to build a highly capable antenna measurement facility which will provide critical support for the research, development, and testing of new antenna designs and concepts at the University of North Texas (UNT). The requested near-field probe system will be integrated with existing hardware at UNT, including a vector network analyzer and an Albatross Projects shielded chamber, to complete the build for the measurement system that is capable of characterizing three-dimensional radiation patterns of antennas-under-test (AUT) over a wide frequency range of 0.65-18 GHz. The measurement facility will be used to not only support ongoing and future federally funded research of the principal investigators but also enhance undergraduate and graduate education and training in RF, microwave, and antenna engineering at UNT.

This article presents a study on the probabilistic assessment of the seismic performance and vulnerability of corrugated steel plate shear walls (CoSPSWs) using fragility functions.

This article proposes a novel flower classification method that combines enhanced VGG16 (E-VGG16) with decision fusion.

Data management plan for the grant, "GenCyber Teachers Camp." The goal of the UNT GenCyber Teacher Camp is to increase the cybersecurity expertise of middle and high school Computer Science teachers so that they can introduce cybersecurity curriculum into their classrooms. We will recruit 20 teachers who teach Computer Science and STEM-related middle/high school courses. We will create modules that teachers can use to create positive environments for students and thus to motivate them to gain interest in cybersecurity.

Data management plan for the grant, "In-Situ Monitoring for Quality Assurance and Machine Learning in Direct-Write Additive Manufacturing of 5G RF Electronic Ceramics." The principal near-term objective of the PI is to use in-situ monitoring to define the processing rules that determine the microstructure, macrostructure, and high-frequency dielectric response of electronic ceramic materials for advanced RF “grown” by laser-assisted direct-write AM. In-situ measurements will be correlated and validated with ex-situ characterization, and these data will iteratively guide synthesis and processing optimization. In parallel, the experimental measurements will be used as inputs for the physics-based process modeling. Predictions from the experimentally validated models will in turn: 1) guide synthesis and processing optimization and, 2) train and constrain ML. Thus, quality assurance is achieved.

Data management plan for the grant, "UNT Gencyber Academy."

Data management plan for the grant, "Cancer Detection and Treatment Based on Low-Level Light Interaction with Biological Cells: Augmentation to Existing Human Performance Research Capabilities."

Data management plan for the grant, "Variable Conductor Radiator for CO2 Deposition in Deep Space Transit"

Data management plan for the grant, "New approach for identification pHFO networks to predict epilleptogenesis." About 40% of epilepsy patients fail to control seizures after treatment, and currently there is no treatment that can prevent epilepsy. The goal of this study is to perform multi-scale electrophysiological investigations combine with advanced computational algorithm development to understand the characteristics of the pathological brain networks during the latent period of epilepsy. The findings of this project will lead to a better understanding of the network mechanisms of epileptogenesis and suggest novel approaches to prevent the process of epileptogenesis.

Data management plan for the grant, "Resilient Supply Chain Ecosystem for Agile Manufacturing of Unmanned Aircraft Systems."

Article presents a motion-sensing device with the capability of harvesting energy from low-frequency motion activities. Based on the high surface area reverse electrowetting-on-dielectric (REWOD) energy harvesting technique, mechanical modulation of the liquid generates an AC signal, which is modeled analytically and implemented in Matlab and COMSOL.

This article is a study where the authors integrated the multi-omics datasets such as copy number aberration, DNA methylation, gene and microRNA expression to identify the signature microRNA-gene associations from frequently aberrated DNA regions across pan-cancer utilizing a LASSO-based regression approach.