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Articles 1051 - 1080 of 69386
Full-Text Articles in Entire DC Network
A Comparative Study Of Traditional Training And Xr-Based Simulation In Healthcare Professional Education, Fazal Qudus Khan, Gohar Khan, Ibrar Ahmad, Owais Khan, Suleman Shah
A Comparative Study Of Traditional Training And Xr-Based Simulation In Healthcare Professional Education, Fazal Qudus Khan, Gohar Khan, Ibrar Ahmad, Owais Khan, Suleman Shah
All Works
Immersive Virtual Reality or VR/VX stands poised to revolutionize healthcare education through interactive learning modules, overcoming current deficiencies in existing methodologies for instruction. This research compared the effectiveness of VR/VX-based training to traditional CT scanner operator training using a within-subjects design, involving 30 subjects, and concluded the effectiveness of using VR/VX in enhancing knowledge retention, task accomplishment, and engagement, and proved it by showing significant enhancement in immediate knowledge acquisition scores (Δ = 8.87, t(29) = 6.71, p < .0001), relative to delayed knowledge retention scores (Δ = 11.03, t(29) = 6.85, p < .0001), procedural achievement scores (Δ = 5.40, t(29) = 4.45, p = .0001), reduced overall task completion time using VR/VX for increased speed of execution (t(29) = 10.74, p < .0001), as well as reduced task errors for lower error rates using VR/VX in comparison to existing methodologies, as testified by the results, t(29) = 8.14, p < .0001, respectively, while showing no significant difference in usability, although assessed superior in terms of engagement and relative usefulness by the involved subjects.
Re: Comment Letter For Draft Final 2026 Interim Site-Wide Groundwater Monitoring Quality Assurance Project Plan (Dated April 17, 2026), Emma Rott
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Modeling Agentic Artificial Intelligence Uncertainty In Agriculture Based 6generation: A Hybrid Q-Rung Orthopair Fuzzy Mcdm Methodology, Zekra Sakr, Mona Mohamed
Modeling Agentic Artificial Intelligence Uncertainty In Agriculture Based 6generation: A Hybrid Q-Rung Orthopair Fuzzy Mcdm Methodology, Zekra Sakr, Mona Mohamed
Neutrosophic Systems with Applications
In era of advanced intelligent revolutions, the collaboration between intelligent technologies became imperative. For instance, integrating 6G communications with agentic artificial intelligence considered a catalyst to shift agriculture sector into optimized and intelligence sector. This integration resulted in transitioning the sector from static automation to autonomous, agent-based ecosystems. Accordingly, the efficiency roles for artificial intelligence agents (AIAs), deploying and selecting optimal AIA is important. Yet, selection process is still difficult because agricultural criteria are multifaceted and there are inherent environmental uncertainties. To address these challenges and bolster the selection process, this paper suggests a hybrid multi-criteria decision-making (MCDM) that bolstered …
Uncertainty Handling In Stock Market Prediction: A Fuzzy Markov Chain Approach, Alpa Singh Rajput, Arpan Singh Rajput
Uncertainty Handling In Stock Market Prediction: A Fuzzy Markov Chain Approach, Alpa Singh Rajput, Arpan Singh Rajput
Neutrosophic Systems with Applications
Predicting the stock market is never easy because it is influenced by many uncertain and constantly changing factors such as economic conditions, investor behaviour, and global events. Traditional models like the Crisp Markov Chain (CMC) try to predict market movements by using fixed probabilities for different states like bullish, bearish, or stagnant. However, real markets do not behave in such a strict way—they often move gradually between states, which these models fail to capture. To overcome this limitation, this study introduces a Fuzzy Markov Chain (FMC) model, where fuzzy logic is used to handle uncertainty and allow smoother transitions between …
Warming Climate Amplifies Vapor Pressure Deficit Limits On Gross Primary Productivity, Shiqin Xu, Nate G. Mcdowell, Tim R. Mcvicar, Diego G. Miralles, Stephen Sitch, Pablo Sanchez-Martinez, Joshua B. Fisher, Pierre Friedlingstein, Hylke E. Beck, Matthew F. Mccabe
Warming Climate Amplifies Vapor Pressure Deficit Limits On Gross Primary Productivity, Shiqin Xu, Nate G. Mcdowell, Tim R. Mcvicar, Diego G. Miralles, Stephen Sitch, Pablo Sanchez-Martinez, Joshua B. Fisher, Pierre Friedlingstein, Hylke E. Beck, Matthew F. Mccabe
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Ongoing climate warming may profoundly impact terrestrial gross primary productivity (GPP), a key component of the global carbon cycle. However, uncertainty in the relative roles of atmospheric water demand (vapor pressure deficit, VPD) and root-zone soil moisture (SM) limits predictions of drought impacts on GPP. Here, we show that growing-season GPP was more strongly constrained by VPD than SM globally, based on observation-constrained model estimates, satellite retrievals and Dynamic Global Vegetation Model simulations. The importance of VPD increased with higher temperatures and more severe and prolonged droughts. This pattern reflects VPD’s critical role in regulating stomatal conductance and plant hydraulic …
Volume 12 Full Text, Bjur Staff
Volume 12 Full Text, Bjur Staff
Butler Journal of Undergraduate Research
No abstract provided.
Exploring Gender As An Analytical Framework In The 2018-2019 Revolution And Ongoing Civil War: The Role Of Gendered Violence And Sudanese Women's Resistance, Ami John
Butler Journal of Undergraduate Research
This paper will interrogate the intersection of gender, war, and political upheaval within Sudan while focusing on the role of women in both the 2019 resistance and the ongoing conflict and revolution. By the end of 2018, mass protests had called for the ousting of Omar al-Bashir, the long-standing Sudanese president. This event set off a chain reaction which led to events that fueled the long-standing rivalry between the two militant groups that were active in Sudan, the Rapid Support Forces (RSF) and the Sudanese Armed Forces (SAF). The tension caused by this rivalry created unforeseen circumstances for the local …
Automated, Modular, Agentless Adversarial Emulation In Cloud Environments For Higher Education And Student Training, Doc Harley
Senior Honors Theses
Currently, the leading technologies in the market of adversarial emulation are MITRE Caldera, Atomic Red Team by IBM, and multiple proprietary products that come with support packages for different vendors like AttackIQ, Cymulate, SafeBreach, and many more. While it is clear that much work has been done in the broad category of adversarial emulation, when it comes to open source solutions, there are no agentless options with built in automation and modularity that have good support for cloud environments. Agentless adversarial emulation provides a unique advantage in that it can be both simpler and a better representation of the true …
A Deep Learning-Based Approach For Bot Detection In Trending Hashtags On X, Mehboob Hussain, Muhammad Rizwan Rashid Rana, Muhammad Imran, Muhammad Shoaib, Muhammad Hasaan Mujtaba
A Deep Learning-Based Approach For Bot Detection In Trending Hashtags On X, Mehboob Hussain, Muhammad Rizwan Rashid Rana, Muhammad Imran, Muhammad Shoaib, Muhammad Hasaan Mujtaba
Makara Journal of Technology
The widespread presence of bots on social media platforms, such as X (formerly Twitter), poses a significant threat to the integrity of online information by facilitating the dissemination of misinformation and manipulating public discourse. This study proposes a robust deep learning-based framework, DeepBot, to detect bot participation in trending hashtags and discussions on X. The approach uses a dataset sourced from Kaggle, comprising user profile metadata, including follower count, tweet frequency, account verification status, and engagement metrics. The data were subjected to comprehensive preprocessing, including noise removal, part-of-speech (POS) tagging, and word embedding using the pre-trained GloVe model. RoBERTa is …
Assessing Hyperlocal And Local Air Quality Through Passive Samplers And Low-Cost Monitors, Yan He
Assessing Hyperlocal And Local Air Quality Through Passive Samplers And Low-Cost Monitors, Yan He
McKelvey School of Engineering Graduate Student Theses & Dissertations
Air pollution is a major environmental health concern and has been associated with respiratory disease, cardiovascular morbidity, metabolic disorders, premature mortality, and additional adverse health outcomes. Air pollution often exhibits substantial variability at fine spatial scales, yet conventional regulatory monitoring networks are too sparse to resolve neighborhood-level exposure gradients that may exist in many urban and rural communities. Hyperlocal differences in pollutant concentrations—driven by local emission sources, land use characteristics, atmospheric chemistry, and meteorological conditions—can lead to systematic differences in long-term exposure among populations living only short distances apart. Improving exposure characterization therefore requires dense monitoring strategies and spatial modeling …
Smart Kitchen: Towards Real-Time Ai Systems For Cognitive Support In Daily Activities, Ruiqi Wang
Smart Kitchen: Towards Real-Time Ai Systems For Cognitive Support In Daily Activities, Ruiqi Wang
McKelvey School of Engineering Graduate Student Theses & Dissertations
The rapid growth of the aging population and the rising prevalence of Subjective Cognitive Decline (SCD) highlight the need for continuous, unobtrusive assessment of functional cognition during everyday activities. Vision-based smart home systems offer a promising pathway for monitoring behavior and supporting independent living. However, enabling real-time cognitive assistance remains challenging. It requires not only accurately interpreting complex human behaviors to detect cognitive errors, but also supporting real-time deployment on resource-constrained edge devices and under dynamic wireless network conditions. This dissertation presents Smart Kitchen, an AI-driven system for real-time cognitive error detection through the monitoring of daily cooking activities. Under …
Revisiting Visualization Literacy: What Standardized Assessments Reveal And Conceal Across Instruments, Cultures, And Ai Systems, Saugat Pandey
Revisiting Visualization Literacy: What Standardized Assessments Reveal And Conceal Across Instruments, Cultures, And Ai Systems, Saugat Pandey
McKelvey School of Engineering Graduate Student Theses & Dissertations
Data visualizations are now a primary medium for public communication, scientific reasoning, and decision-making. By transforming complex data into accessible graphical forms, visualizations are widely assumed to make information comprehensible to broad audiences. Yet the ability to accurately read, interpret, and critically evaluate a visualization, what researchers call visualization literacy, is neither uniform nor universal. It is a learned, multidimensional skill shaped by prior exposure, educational opportunity, and context. While the field has developed standardized instruments to measure visualization literacy, these tools were built under narrow assumptions: participants are typically paid, English-speaking, and recruited from Western online panels. When any …
Benefits Of Traffic Reprofiling For Delay Sensitive Networking, Jiaming Qiu
Benefits Of Traffic Reprofiling For Delay Sensitive Networking, Jiaming Qiu
McKelvey School of Engineering Graduate Student Theses & Dissertations
Deterministic networking systems, such as Time-Sensitive Networking (TSN) and Deterministic Networking (DetNet), require strict end-to-end delay guarantees while efficiently utilizing limited network resources. Conventional approaches typically focus on fixed traffic profiles, which can lead to suboptimal resource utilization in scheduling or admission control problems. This dissertation investigates traffic reprofiling—the proactive reshaping of traffic arrival patterns—as a complementary mechanism for improving both resource efficiency and delay performance under strict service guarantees. The dissertation consists of three parts. The first part studies bandwidth minimization under hard delay constraints for Service Curve Earliest Deadline First (SCED) schedulers. We show that traffic reprofiling can …
Artificial Intelligence, Synthetic Media, And The Criminal Justice System, Jeffrey J. Jacobs
Artificial Intelligence, Synthetic Media, And The Criminal Justice System, Jeffrey J. Jacobs
Doctoral Dissertations and Projects
Artificial intelligence (AI) technologies continue to evolve at an exponential pace, and their utilization of synthetic media in criminal activity presents both unprecedented opportunities and significant challenges for criminal justice systems. This dissertation explores the intersection of AI-driven synthetic media crime and the U.S. criminal justice system, identifying how such technologies are being utilized in criminal activity and evaluating the system’s capacity to adapt. This study uses a longitudinal, mixed-methods research design; it also collects and analyzes data from law enforcement agencies, AI developers, and cybersecurity experts to forecast future crime trends and assess the efficacy of current justice system …
Coexistence Of“Emotion”And“Rationality”：Analysis Of The Impact Mechanism Of Frequent Reversal Events On The Evolution Of Online Public Opinion, Liqiang Wang, Xueqi Li, Yixian Wang
Coexistence Of“Emotion”And“Rationality”：Analysis Of The Impact Mechanism Of Frequent Reversal Events On The Evolution Of Online Public Opinion, Liqiang Wang, Xueqi Li, Yixian Wang
Journal of Scientific Information Research
[Purpose/significance] In recent years, frequent reversal events have negatively impacted the online media environment, leading to an increasing number of skeptical voices during the evolution of public opinion.These doubts are no longer merely emotional outbursts but also involve rational understanding of the event's authenticity. This study aims to gain a deeper understanding of this phenomenon and attempts to reveal the impact mechanism of frequent reversal events on the evolution of online public opinion. [Method/process] Through surveys and computer simulation experiments, the study analyzes various elements such as individuals, media environment, and evolution patterns in online public opinion,then according to the …
Research On Temporal Knowledge Graph Completion Method For Emergent Events Based On Bigru And Graph Contrastive Learning, Peng Wu, Zhenyu Lu, Xuechen Zhang
Research On Temporal Knowledge Graph Completion Method For Emergent Events Based On Bigru And Graph Contrastive Learning, Peng Wu, Zhenyu Lu, Xuechen Zhang
Journal of Scientific Information Research
[Purpose/significance] During emergencies, social media short texts contain critical information but are heavily interfered with by noise. Traditional static knowledge graph completion techniques struggle to effectively address their dynamic evolution and data sparsity issues, making it imperative to introduce temporal modeling methods. [Method/process] This study proposes a dynamic completion framework that combines the temporal feature capture capability of Bidirectional Gated Recurrent Units (BiGRU) with the noise-resistant representation learning advantages of Graph Contrastive Learning (GCL). At the completion level, the ConBiTE method is introduced, which captures temporal dependencies through self-attention mechanisms and BiGRU, while leveraging GCL to enhance the completion of …
Assessing The Robustness Of Combinatorial Multi-Armed Bandit For Geofencing With Reconfigurable Intelligent Surfaces., Luciano De Souza, André Gomes
Assessing The Robustness Of Combinatorial Multi-Armed Bandit For Geofencing With Reconfigurable Intelligent Surfaces., Luciano De Souza, André Gomes
STEM Student Research Symposium Posters
Reconfigurable Intelligent Surfaces (RIS) can influence beam selection in next-generation wireless systems by shaping the channel conditions observed during beam sweeping. Prior work assumes deterministic beam sweeping, enabling Combinatorial Multi-Armed Bandits (CMAB) to learn beam-specific policies for geofencing. In this work, we evaluate the robustness of this approach under randomized beam sweeping, where the mapping between bandits and beam directions is disrupted episode by episode. Under these conditions, the learning algorithm no longer converges to a structured solution, instead behaving closely to a random policy, with higher variability and lower mean reward. These results indicate that the CMAB relies on …
On The Need For Intelligent Link Management In Wifi 7 Mlo, Logan Lux, André Gomes
On The Need For Intelligent Link Management In Wifi 7 Mlo, Logan Lux, André Gomes
STEM Student Research Symposium Posters
Wi-Fi 7 EMLSR allows devices to use multiple wireless links to improve throughput and reduce latency, but its real-world performance depends heavily on network conditions. This project investigates the need for intelligent link management in Wi-Fi 7 EMLSR by building a real testbed to measure performance.
Ticking Toward Security: Practical Source Authentication For The Precision Time Protocol, Alexander Gebhard
Ticking Toward Security: Practical Source Authentication For The Precision Time Protocol, Alexander Gebhard
Dissertations (1934 -)
The convergence of Information Technology (IT) and Operational Technology (OT) in Industry 4.0 environments has greatly expanded the attack surface of critical infrastructure systems. Legacy industrial protocols originally intended for use only in isolated networks are now exposed across interconnected systems. This interconnectivity enables adversaries to target power grids, manufacturing plants, and other critical systems with increasing sophistication. Although vendors have retroactively introduced security extensions to industrial protocols such as EtherNet/IP and OPC Unified Architecture (OPC UA), the adequacy and practical feasibility of these security measures remain understudied. This dissertation advances the security of industrial protocols through three main contributions. …
Final Insufficiently Reclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.
Final Insufficiently Reclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Final Unreclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.
Final Unreclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Cognition Is Not Content: A Structural Account Of Processing Conditions, Griselda Poe
Cognition Is Not Content: A Structural Account Of Processing Conditions, Griselda Poe
Publications and Research
Human cognition has been described in terms of content. This description becomes insufficient once artificial systems make output observable apart from subject attribution, intention, and relational context. Under this contrast condition, what becomes visible is a layered structure in which output, reconstruction, evaluation, and termination do not necessarily coincide. The same input may register as complete under one processing condition while remaining unresolved under another. This separability means that content-based description does not merely omit an additional variable: it can mislocate a processing difference as a difference in meaning, personality, intention, ability, or attitude. This is not a proposal for …
Probing Composition Effects On The Intrinsic Energetics Of Proton Transfer In Binary (Hcl)M(H2o)N Clusters, Max R. Tucker, Sarah N. Arradondo, Olivia M. Longsworth, George C. Shields, Gregory S. Tschumper
Probing Composition Effects On The Intrinsic Energetics Of Proton Transfer In Binary (Hcl)M(H2o)N Clusters, Max R. Tucker, Sarah N. Arradondo, Olivia M. Longsworth, George C. Shields, Gregory S. Tschumper
Chemistry Faculty Research & Creative Works
This work examines the effects on intrinsic energetics as the composition of finite (HCl)m(H2O)n cluster families containing at least one water molecule is changed at the molecular level, where m ≥ 2 and m + n = 4 − 6, and the associated (Cl−)x(H3O+)x(HCl)m−x(H2O)n−x clusters resulting from the dissociation of x HCl fragments via proton transfer (PT). They are collectively labeled m:n, and xPT indicates the degree of dissociation, from 0PT (no dissociation) up to 3PT. More than 1000 unique minima …
Solarvale: Exploring Australian Ecology And Culture Through Serious Game Design, Ping-I (Adam) Ho, Elliot Birch
Solarvale: Exploring Australian Ecology And Culture Through Serious Game Design, Ping-I (Adam) Ho, Elliot Birch
Imaginings: creative practice and inquiry
This research examines how a serious game (Gee, 2007): Solarvale: Tale of the Sun Root (Birch et al., 2024), developed by students from SAE University College addresses the importance of ecological conservation and cultural awareness specifically in relation to the Australian landscape. While some Australian serious games, such as Catchment Detox (2008), Paperbark (2018), and Bleached Az (2019) engage with similar themes, few titles integrate storytelling with interactive ecological environments and cultural awareness in a way that encourages players to reflect on their own role and actions—which is the central focus of Solarvale. Drawing on the concepts from serious …
Isolation, Identification And Antibiotic-Resistance Profiling Of Bacteria Isolated From Mobile Phone Surfaces In Karbala., Kawkab Abdullah Alsaadi, Zahraa Raheem Murshidy, Dhuha Ali Hussein, Sura Abd Ali Kadhim, Kawakib Aboudi Hanoon
Isolation, Identification And Antibiotic-Resistance Profiling Of Bacteria Isolated From Mobile Phone Surfaces In Karbala., Kawkab Abdullah Alsaadi, Zahraa Raheem Murshidy, Dhuha Ali Hussein, Sura Abd Ali Kadhim, Kawakib Aboudi Hanoon
Karbala International Journal of Modern Science
Due to the diverse environments that mobile phones are exposed to via human handling they become reservoirs of microorganisms. The objective of the current study was to determine the level and character of bacterial contamination on mobile phones by identifying bacterial strains, and the degree of antimicrobial susceptibility. A cross-sectional study was conducted from April to July 2025 where phones belonging to 115 individuals were randomly chosen from various departments and units at Kerbala University and swabbed. The VITEK 2 automated system was used to identify bacterial taxa and test for antimicrobial susceptibility, and 50 of the swabs exhibited bacterial …
Open Multi-Agent Systems: The Free-Range-Zoo Framework And Moasei Competition, Ceferino J. Patino Iv
Open Multi-Agent Systems: The Free-Range-Zoo Framework And Moasei Competition, Ceferino J. Patino Iv
School of Computing: Dissertations, Theses, and Student Research
The field of multi-agent reinforcement learning (MARL) has made significant strides in addressing sequential decision-making problems under uncertainty. However, traditional MARL frameworks assume closed-world settings with fixed agent sets, static task distributions, and unchanging environment dynamics. This thesis presents two complementary contributions that advance the state of open-world multi-agent systems research: (1) the free-range-zoo framework, an open-source environment suite for MARL in open environments featuring dynamic agent populations, evolving task sets, and changing operational frames; and (2) the MOASEI Competition, an international benchmarking event that leverages free-range-zoo to evaluate how artificial agents handle openness in complex, partially observable domains. The …
The Intersection Of Visual Communications, User Experience, & Design Theory: A Case Study With The Dog Spaw, Jessica Miltner
The Intersection Of Visual Communications, User Experience, & Design Theory: A Case Study With The Dog Spaw, Jessica Miltner
Honors Projects
This project explored the intersection of visual communication, user experience, and design theory, focusing on researching design and UX principles and applying them in a real-world case study with The Dog Spaw from Celina, Ohio. The project resulted in a redesigned website that aims to influence user behavior by improving perceptions of trust, professionalism, brand consistency, and ease of use, and by examining how these perceptions, in turn, influence user action.
Developing A Framework To Improve Phishing Response After Detection, Kevin Umba
Developing A Framework To Improve Phishing Response After Detection, Kevin Umba
Master's Theses (2009 -)
Phishing belongs to the most prevalent attack vectors in the cybersecurity industry. Academia, industry, and government resources offer a wealth of information on the subject. However, insights on phishing techniques and remediations are scattered across those sources. Most governmental and academic literature focuses on user awareness, policy guidelines, or phishing training. This leaves the security practitioners underserved. Furthermore, actionable information for security operations is often unstructured or vendor-specific. The goal of the thesis is to provide a preliminary framework to guide security professionals through indicators of compromise and remediation, using a vendor-neutral approach.
Writing As A Process Of Inquiry In Autoethnography For Meaning-Making: Reflections And Some Points For Consideration, Niroj Dahal
Writing As A Process Of Inquiry In Autoethnography For Meaning-Making: Reflections And Some Points For Consideration, Niroj Dahal
The Qualitative Report
This article explores writing as a process of inquiry and meaning-making in the autoethnographic tradition, offering reflections on the recursive, emergent, and dialogical/dialectical nature of writing, along with some points for consideration. Drawing on perspectives from qualitative research and narrative inquiry (Riessman, 2008), I argue that autoethnographic writing serves as a method of inquiry and/or discovery, generating ontological, epistemological, and axiological-driven cultural meaning that functions as a site of reflection, interrogation, and re-storying of lived experiences. This recursive, often messy, and reflexive act allows researchers to excavate, analyze, and interpret their lived experiences. Rather than viewing writing as a final-stage …
Initiatives To Grow New Innovative Talent To Enable Fusion Energy, Peng Zhang, Ranganathan Parthasarathy, Yuqiao Fan, Arnold Lumsdaine, Rinkle Juneja, Yuchen Jiang, Monica Gehrig, Louise Ferris, David Donovan, Firas Akasheh, Olakunle Harrison, Joshua Schlegel, Manish Sharma, Mohammad Habibi, Mohan Rao, Rajni Chahal, Sean Walters, Vola Andrianarijaona
Initiatives To Grow New Innovative Talent To Enable Fusion Energy, Peng Zhang, Ranganathan Parthasarathy, Yuqiao Fan, Arnold Lumsdaine, Rinkle Juneja, Yuchen Jiang, Monica Gehrig, Louise Ferris, David Donovan, Firas Akasheh, Olakunle Harrison, Joshua Schlegel, Manish Sharma, Mohammad Habibi, Mohan Rao, Rajni Chahal, Sean Walters, Vola Andrianarijaona
Achieve
The Initiatives to Grow New Innovate Talent to Enable Fusion Energy (IGNITE Fusion Energy) project was launched under the U.S. Department of Energy’s Reaching a New Energy Sciences Workforce (RENEW) program. This DOE RENEW-funded project is a multi‑institutional program that aims to build the future fusion workforce through mentoring, curriculum development, and innovation bootcamps. IGNITE brings together six academic institutions (Tennessee Tech University, Tennessee State University, Tuskegee University, Southern Adventist University, Missouri University of Science Technology, and University of Tennessee–Knoxville), Oak Ridge National Laboratory (ORNL) as a research and partnership hub, and 11+ private fusion companies for industry input and …