The National Museum of the Pacific War presents an interview with Jack Hensel. Hensel was drafted into the Navy in June 1943. He trained as an aerial gunner and was eventually assigned to a crew aboard an Avenger. In early 1945, he went aboard USS Franklin (CV-13). In March, when the Franklin was attacked, Hensel was blown overboard and eventually made it onto a raft before being rescued by USS Hickox (DD-673). He went to a hospital at Ulithi to recover from burns before heading back to the US. He was undergoing more training when the war ended.

Data management plan for the grant "Collaborative Research: Smart Stent for Post-Endovascular Aneurysm Repair." The overall objective of this proposal is to develop a Smart Stent for post-endovascular aneurysm repair (EVAR) surveillance that combines a flexible, hybrid, seamless, battery-less bioelectronic system with a deep-learning algorithm that offers an automated diagnosis of complications such as endoleak.

Data management plan for the grant "Collaborative Research: Microneedle‐mediated Adaptive Phototherapy (MAP) for Wound Healing."

Data management plan for the grant, "Collaborative Research: CyberTraining: Pilot: Research Workforce Development for Deep Learning Systems in Advanced GPU Cyberinfrastructure." This project aims to develop a novel set of interactive training materials, including hands-on lecture modules, invited research talks from renowned researchers, and an interdisciplinary collaborative project in an intensive workshop, integrating a wide variety of advanced and inter-connected techniques employed by research workforce for deep learning (DL) systems in advanced GPU cyberinfrastructure (CI). Specifically, this project focuses on training seniors, graduate students, and researchers on how advanced GPU CI can be efficiently utilized and improved to enable high-performance DL systems for data-intensive DL applications in geoscience (GS) and computer science and engineering (CSE) research. The goal is to foster future CI users and contributors to adopt, develop, and improve advanced GPU CI for DL systems in their research.

Data management plan for a grant seeking to analyze existing support structures for transfer students in Chemistry between the University of North Texas and Dallas College.

Data management plan for the grant, "Distributed Learning for Undergraduate Programs in Data Science at Diverse Universities." Here, we propose to expand on our previous NSF-supported work in developing a suite of courses in data science (DS) that were taught across a network of 4 undergraduate institutions in a distributed learning (DL) format. The current proposal seeks to expand the size and diversity of our network while adapting the advanced distributed learning (ADL) technology of the U.S. military to an academic setting to harness the power of AI in tailoring optimal learning experiences for individual students.

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."

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.

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

Data management plan for the grant, "Leveraging Existing Bibliographic Metadata to Improve Automatic Document Identification in Web Archives."

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, "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, "Students Data Literacy Needs in Community Colleges: Perspectives of Libraries, Students and Faculty." The University of North Texas will conduct an 18-month planning project to examine the current perspectives of community college librarians, faculty, and students regarding data literacy; identify the data literacy competencies needed for community college students; and develop data literacy action plans for community college libraries to assist community college librarians in assessing their capability and creating a road map to incorporate data literacy into their existing literacy programs. The findings of this project will identify the role and position of community college libraries in facilitating and enhancing the development of the data literacy competencies of students.

Data management plan for the grant, "Developing a High-Quality Academic Environment for Broadening Participation of Hispanic Students in Computing." The objectives of the grant are to Enhance the education quality and broadening the participation of Hispanic undergraduate students in Computing through new pedagogy adoption, cultural transformation, and offering guided research opportunity for students. The project is also going to study the cultural asset-based education for Hispanic students and to understand which cultural asset would be the most important impact factors for Hispanic education in computing.

Data management plan for the grant, "Connecting Communities with Libraries, Archives, and Historians Through Oral Histories." The University of North Texas (UNT) Department of Information Science, partnering with the UNT Oral History Program, will host a series of forums to identify best practices and strategies to respond to challenges around building, implementing, preserving, and accessing community oral history projects. The project team will convene librarians, archivists, oral history practitioners, public historians, community-based memory workers, and others working in oral history to identify good practices, share challenges and lessons learned, and prepare an actionable roadmap for building, implementing, preserving, and sustaining community oral history projects.

Data management plan for the grant, "Improving Remote Breathalyzer Procedures used by Clinicians and Researchers to Remotely Monitor Alcohol Use."

Data management plan for the grant, "Connecting Galaxies and Supermassive Black Holes: Meso-scale Simulations of Multiphase Accretion Flows." It proposes to study how gas flows onto the supermassive black holes in massive galaxies and galaxy clusters. They will perform numerical simulations with a nested zoom-in technique, focusing on the mesoscale accretion flows from the Bondi radius to hundreds of Schwarzschild radii. They will predict the mass flux of different phases, as well as their angular momentum and magnetic flux.

Data management plan for the grant, "Maternal Acetaminophen Use and Childhood Cancer."

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."