Data management plan for the grant, "University of North Texas Upward Bound". The University of North Texas (UNT), located in Denton, Texas, proposes a cooperative partnership with four school districts to sponsor a five-year Upward Bound program for eligible students in four target high schools in North Texas.

Data management plan for the grant, "Increasing students access to educational and experiential learning opportunities in agritourism." The project aims to develop an online course on agritourism within the sustainability framework, to be offered by the Department of Hospitality and Tourism Management (HTM) at the University of North Texas (UNT).

Data management plan for the grant, "Low-Energy Atomic Processes Including Ones Involving a Positron." The proposed research in theoretical atomic physics involves few-body systems of charged particles, especially ones that involve the antiparticle of the electron, which is a positron. One of these systems is the positronium negative ion, which is comprised of two electrons and a positron. The exotic positronium atom is similar to the conventional hydrogen atom, but the positive charge in the atom is a positron rather than a proton. The proposed studies of these few-body charged systems will support international collaborations with scientists in the UK and Japan.

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, "Collaborative Research: PIC: Slow Wave Enhanced Electrooptically Tuned Michelson Interferometer Biosensor for On-Chip Polarization Interferometry."

Data management plan for the grant, "Project Communicate." The purpose of Project Communicate is to professionally prepare 27 special education teachers and 10 speech-language pathologists, including scholars from ethnically and racially diverse backgrounds, to be highly-qualified to demonstrate skills in promoting high expectations to improve student outcomes, providing individualized evidence-based practices for students with autism spectrum disorder, and providing culturally and linguistically responsive instruction. Scholars will participate in a master’s degree program in Special Education (Autism Intervention) or Speech-Language Pathology designed to include coursework, integrated and embedded supervised field experiences, and other professional development opportunities for developing knowledge and skills for working with students with ASD in school-based settings.

Data management plan for the grant, "FW-HTF-P: Understanding and Assessing Technology Innovation to Mitigate Distraction and Improve the Performance of Future Forklift Operators."

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.

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, "Examination and Refinement of a Novel Treatment for Posttraumatic Stress Disorder: Processing of Positive Memories Technique (PPMT)." The study aims to examine effects of and targets underlying a novel technique for posttraumatic stress disorder focused on positive memories (Processing of Positive Memories Technique; PPMT). Specific aims include (1) examining PPMT’s effects; (2) examining mechanistic targets such as improved affect underlying PPMT’s effects; and (3) refining PPMT.

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

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.

Data management plan for the grant, "Community Health Worker Training Program."

Data management plan for the grant, "Approximation Theory and Complex Dynamics." This project involves the study of approximation theory in the setting of complex functions, with applications to complex dynamics. Approximation theory seeks to understand the extent to which the behavior of a general function can be effectively modeled by that of functions drawn from a more restricted class. Efficient approximation of functions is of relevance for numerical calculation. Since the only calculations that can be carried out numerically are the elementary operations of addition, subtraction, multiplication, and division, in practical terms it is of importance to understand when the values of general functions are well approximated by the values of either polynomial or rational functions. In many situations, the values of the approximant resemble those of the general function only for a sampling of input values. What can be said about values of the approximant for other choices of input? This is the main question studied in this project, with the following application in mind: when a general function is iterated to produce a dynamical system, to what extent does the dynamical behavior of an approximant resemble the dynamical behavior of the original function? The project will also contribute …

Data management plan for the grant, "Mechanoregulators of Nanoparticle-Cell Interactions at Tissue Interfaces."

Data management plan for the grant, "Ex situ and in situ Investigation of the Thermomechanical Behavior of Shape Morphing Materials from Room Temperature to Ultra-High Temperatures."

Data management plan for the grant, "EAGER: Secure Research Impact Metric Data Exchange: Data Supply Chain and Vocabulary Development." This project aims to inform whether a national cyberinfrastructure is needed to support the exchange and processing of sensitive and proprietary usage and impact metrics generated by US-based research publishers and distributors. Specifically, this project will advance open science by: a) documenting the usage and impact data supply chain for article and data research outputs, to complement findings for books, and b) engaging research infrastructure stakeholders to crosswalk usage and impact related vocabularies across scholarship outputs and disciplines.

Data management plan for the grant, "High-Contrast Elasto-Metamaterial Photonics for Adaptable and Stable Lasing."

Data management plan for the grant, "Quantitative PCR Primer Development for Early Detection of Invasive Species."

Data management plan for the grant, "A Laser Microdissection System to Enhance Agricultural and Food Research in the North Texas and Southern Oklahoma Region."

Data management plan for the grant, "Health Careers Opportunity Program."

Data management plan for the grant, "Lone Star Ink: Texas NDNP 2023."

Data management plan for the grant, "Creating Transformational Leaders in Sustainable Food and Fiber Systems."