Data management plan for the University of North Texas GenCyber Academy grant. The GenCyber Cybersecurity Program at the University of North Texas is part of the GenCyber program. The program is hosted by the Department of Computer Science and Engineering. The mission as part of the GenCyber program is to engage students at an early age in cybersecurity field and inspire them to become skilled cybersecurity professionals. This is provided by free summer cybersecurity camps for North Texas middle and high school students (7th-11th grade). The goals of the summer camps are to help students at an early age to understand correct and safe on-line behavior, increase students' interest in cybersecurity careers and improve diversity in the cybersecurity workforce of the nation.

Data management plan for the grant "2021 NCAE-C-002 University of North Texas."

Data management plan for the grant, "2023-GenCyber-University of North Texas."

Article describes how COVID-19 affected the world's economy severely and increased the inflation rate in both developed and developing countries. This study performs an analysis of the impact of COVID-19 on public opinion and sentiments regarding the financial markets and crypto markets.

Article states that high-frequency oscillation (HFO), classified as ripples (80-240 Hz) and fast ripples (240-500 Hz), is regarded as a promising biomarker of epilepsy. The authors presented an integrated, multi-layered procedure capable of automatically rejecting HFOs from a variety of common false positives, such as motion, background signals, and sharp transients.

Data management plan for the grant, "CAN23-161, Hierarchically structured ISRU derived composites."

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 for the grant, "Collaborative Research: Framework Implementations: CSSI: CANDY: Cyberinfrastructure for Accelerating Innovation in Network Dynamics." Research addressing the lack of a comprehensive cyberinfrastructure that supports innovative research challenges in large-scale, complex, dynamic networks by developing a novel platform, called CANDY (Cyberinfrastructure for Accelerating Innovation in Network Dynamics), based on efficient, scalable parallel algorithm design for dynamic networks and high-performance software development with performance optimization.

Data management plan for the grant, "Collaborative Research: Supercritical Fluids and Heat Transfer - Delineation of Anomalous Region, Ultra-long Distance Gas Transport without Recompression, and Thermal Management."

Article providing an overview of the special issue titled Complex Concentrated Alloys (CCAs) - Current Understanding and Future Opportunities. The published papers in this special issue aim to report on the current state of research in complex concentrated alloys (CCAs) as well as compelling future opportunities in wide ranging applications.

This article aims to generate all theorems of a given size in the implicational fragment of propositional intuitionistic linear logic. It was presented at the 36th International Conference on Logic Programming (ICLP).

Data management plan for the grant "Developing a cylindrical-type wireless high temperature pressure sensor for rocket propulsion system test."

Data management plan for the grant "Development of Genetic Sensors and Circuits for Creating Novel Cellular Behaviors." This research is expected to advance the capability to engineer organisms for biomedical uses. Specifically, the outcomes of this project include design principles for engineering regulators from different protein families, an extensive set of genetic sensors for detecting a broad range of signals, and novel genetic circuits that address uprising problems in biomedical fields. It uses a novel multidisciplinary approach to enhance the health of the nation by creating tools that facilitate both medical-related discoveries and the implementation of new strategies for biomedical applications.

Article discusses how despite the advantages of online education, it lacks face-to-face settings, which makes it very difficult to analyze the students’ level of interaction, understanding, and confusion. This study proposes a novel engineering approach that uses probability-based features (PBF) for increasing the efficacy of machine learning models.

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."

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."

Article introducing a Blockchain-based medical data-sharing framework (called GlobeChain) to overcome the technical challenges to handle outbreak records. The challenges that might arise due to the proposed Blockchain-based framework are also presented as a future direction that grabs the proposal's effectiveness. This is the accepted manuscript version of the article.

Data management plan for the grant, "Graduate Research Fellowship Program (GRFP)" for Ali Yar Khan.

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

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 "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.

Article studying material response under dynamic short duration-high temperature oxidation.

This article uses a stratified SEIR epidemic model to evaluate the impact of Umrah, a global Muslim pilgrimage to Mecca, on the spread of the COVID-19 pandemic during the month of Ramadan, the peak of the Umrah season. The analyses provide insights into the effects of global mass gatherings on the progression of the COVID-19 pandemic locally and globally.

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