Digital Commons Network^™

The Evaluation Of Machine Learning Techniques For Isotope Identification Contextualized By Training And Testing Spectral Similarity, Aaron P. Fjelsted, Tyler J. Morrow, Clayton D. Scott, Yilun Zhu, Darren E. Holland, Azaree T. Lintereur, Douglas E. Wolfe

Faculty Publications

Precise gamma-ray spectral analysis is crucial in high-stakes applications, such as nuclear security. Research efforts toward implementing machine learning (ML) approaches for accurate analysis are limited by the resemblance of the training data to the testing scenarios. The underlying spectral shape of synthetic data may not perfectly reflect measured configurations, and measurement campaigns may be limited by resource constraints. Consequently, ML algorithms for isotope identification must maintain accurate classification performance under domain shifts between the training and testing data. To this end, four different classifiers (Ridge, Random Forest, Extreme Gradient Boosting, and Multilayer Perceptron) were trained on the same dataset …

Electrochemical Investigation Of Moisture Byproducts In Molten Calcium Chloride, Rankin Shum, Marah Gragun, Tyler Williams, Devin Rappleye

Faculty Publications

Residual water in molten CaCl₂ reacts to form different byproducts, such as HCl, which can impact the corrosivity of the salt and efficiency of electrochemical operations, such as electrolytic oxide reduction and electrorefining. The ability to detect and quantify these byproducts electrochemically can provide feedback on the efficacy of vacuum drying and other purification methods, as well as the impact of these byproducts on process operations. An electrochemical signal’s association with the production of H₂ is verified and characterized using cyclic voltammetry (CV) and residual gas analysis. CV estimated a 2-electron exchange process associated with H2 production. CV …

Neurosymbolic Cognitive Methods For Enhancing Foundation Model-Based Reasoning, Kaushik Roy, Siyu Wu, Alessandro Oltramari

Faculty Publications

Foundation models have emerged as powerful tools, exhibiting extraordinary performance across various tasks, such as language processing, visual recognition, code generation, and human-centered engagement. However, recent studies have highlighted their limitations when grounded, abstract, and generalized reasoning capabilities are required. Complex tasks often involve multiple hierarchical reasoning steps, which are typical features of human thinking processes. In fact, in this chapter we claim that cognitively-inspired computational models, such as the so-called Common Model of Cognition, are key to enable complex reasoning within foundation model-based artificial intelligence (AI) systems. We investigate neurosymbolic approaches for mapping AI system components to those of …

A Panel Data Regression Model For Defense Merger And Acquisition Activity, Corey D. Mack, Clay Koschnick, Michael Brown, Jonathan D. Ritschel, Brandon M. Lucas

Faculty Publications

Excerpt: This paper examines the relationship between a prime contractor's financial health and its mergers and acquisitions (M&A) spending in the defense industry. It aims to provide models that give the United States Department of Defense (DoD) indications of future M&A activity, informing decision-makers and contributing to ensuring competitive markets that benefit the consumer.

The results show a significant relationship between efficiency and M&A spending, indicating that companies with lower efficiency tend to spend more on M&As. However, there was no significant relationship between M&A spending and a company's profitability or solvency. These results were consistent with previous research and …

Formation And Microwave Losses Of Hydrides In Superconducting Niobium Thin Films Resulting From Fluoride Chemical Processing, Carlos G. Torres-Castanedo, Dominic P. Goronzy, Thang Pham, Anthony Mcfadden, Nicholas Materise, Paul Masih Das, Matthew Cheng, Dmitry Lebedev, Stephanie M. Ribet, Mitchell J. Walker, David A. Garcia-Wetten, Cameron J. Kopas, Jayss Marshall, Ella Lachman, Nikolay Zhelev, James A. Sauls, Joshua Y. Mutus, Corey Rae H. Mcrae, Vinayak P. Dravid, Michael J. Bedzyk, Mark C. Hersam

Faculty Publications

Superconducting niobium (Nb) thin films have recently attracted significant attention due to their utility for quantum information technologies. In the processing of Nb thin films, fluoride-based chemical etchants are commonly used to remove surface oxides that are known to affect superconducting quantum devices adversely. However, these same etchants can also introduce hydrogen to form Nb hydrides, potentially negatively impacting microwave loss performance. Here, comprehensive materials characterization of Nb hydrides formed in Nb thin films as a function of fluoride chemical treatments is presented. In particular, secondary-ion mass spectrometry, X-ray scattering, and transmission electron microscopy reveal the spatial distribution and phase …

Theory And Practice Of Mediation Representation, John Lande

Faculty Publications

These days, American attorneys regularly represent clients in mediation. This representation is a complex process, and attorneys and law students need guidance about how to serve clients well in this context. This article offers a theoretical framework for analyzing mediation representation based on Real Practice System Theory. It reviews books that outline elements of mediation representation and identify practical techniques that attorneys can use when representing clients in mediation. It supplies several suggestions for faculty who teach mediation, including teaching courses combining the perspectives of both mediators and mediation representatives.

Too Sensitive Or Not Sensitive Enough? Sensitivity To Context And Justice-Involved Youths' Response To Violence Exposure, Colleen Sbeglia, Curtis Donovyn Smith, Paul J. Frick, Laurence Steinberg, Elizabeth Cauffman

Faculty Publications

With high rates of violence exposure among justice-involved youth, it is critical to identify factors that might impact the likelihood of youth engaging in violence themselves. One such factor is sensitivity to context, which describes how sensitive youth are to experiences in their environment. Using an ethnically diverse sample of justice-involved male adolescents (47% Latino, 38% Black/African American, 15% White) aged 13-17 at the time of their first arrest, the results of this study indicate that exposure to violence was related to increased violent behavior six months later, and this effect was strongest among youth who were low in sensitivity …

Far From Their Origins: A Transcriptomic Investigation On How 2,4-Di-Tert-Butyl-6-(5-Chloro-2h-Benzotriazol-2-Yl) Phenol Affects Rainbow Trout Alevins, Andreas N.M. Eriksson, Justin Dubiel, Alper James Alcaraz, Jon A. Doering, Steve Wiseman

Faculty Publications

Benzotriazole ultraviolet stabilizers (BUVSs) are a group of widely used chemicals added to a variety of consumer (e.g., plastics) and industrial (e.g., metal coating) goods. Although detected globally as an environmentally persistent pollutant, BUVSs have received relatively little toxicological attention and only recently have been acknowledged to affect development and the endocrine system in vivo. In our previous study, altered behavior, indicative of potential neurotoxicity, was observed among rainbow trout alevins (day 14 posthatching) that were microinjected as embryos with a single environmentally relevant dose of 2,4-di-tert-butyl–6-(5-chloro-2H-benzotriazol-2-yl) phenol (UV-327). In the present follow-up study, we performed whole-transcriptome profiling (RNA sequencing) …

Ixpe Observation Of Pks 2155'304 Reveals The Most Highly Polarized Blazar, Pouya M. Kouch, Ioannis Liodakis, Riccardo Middei, Dawoon E. Kim, Fabrizio Tavecchio, Alan P. Marscher, Herman L. Marshall, Steven R. Ehlert, Laura Di Gesu, Svetlana G. Jorstad, Iván Agudo, Grzegorz M. Madejski, Roger W. Romani, Manel Errando, Elina Lindfors, Kari Nilsson, Ella Toppari, Stephen B. Potter, Ryo Imazawa, Mahito Sasada, Yasushi Fukazawa, Koji S. Kawabata, Makoto Uemura, Tsunefumi Mizuno, Tatsuya Nakaoka, Hiroshi Akitaya, Callum Mccall, Helen E. Jermak, Iain A. Steele, Ioannis Myserlis, Mark Gurwell, Garrett K. Keating, Ramprasad Rao

Faculty Publications

We report the X-ray polarization properties of the high-synchrotron-peaked (HSP) blazar PKS 2155'304 based on observations with the Imaging X-ray Polarimetry Explorer (IXPE). We observed the source between Oct 27 and Nov 7, 2023. We also conducted an extensive contemporaneous multiwavelength (MW) campaign. We find that during the first half (T1) of the IXPE pointing, the source exhibited the highest X-ray polarization degree detected for an HSP blazar thus far, (30.7 ± 2.0)%; this dropped to (15.3 ± 2.1)% during the second half (T2). The X-ray polarization angle remained stable during the IXPE pointing at 129.4 '±1.8 and 125.4 '±3.9 …

The K-Profile Parameterization Augmented By Deep Neural Networks (Kpp_Dnn) In The General Ocean Turbulence Model (Gotm), Jianguo Yuan, Jun Hong Liang, Eric P. Chassignet, Olmo Zavala-Romero, Xiaoliang Wan, Meghan F. Cronin

Faculty Publications

This study utilizes Deep Neural Networks (DNN) to improve the K-Profile Parameterization (KPP) for the vertical mixing effects in the ocean's surface boundary layer turbulence. The deep neural networks were trained using 11-year turbulence-resolving solutions, obtained by running a large eddy simulation model for Ocean Station Papa, to predict the turbulence velocity scale coefficient and unresolved shear coefficient in the KPP. The DNN-augmented KPP schemes (KPP_DNN) have been implemented in the General Ocean Turbulence Model (GOTM). The KPP_DNN is stable for long-term integration and more efficient than existing variants of KPP schemes with wave effects. Three different KPP_DNN schemes, each …

Fake Base Station Detection And Link Routing Defense, Sourav Purification, Jinoh Kim, Jonghyun Kim, Sang-Yoon Chang

Faculty Publications

Fake base stations comprise a critical security issue in mobile networking. A fake base station exploits vulnerabilities in the broadcast message announcing a base station’s presence, which is called SIB1 in 4G LTE and 5G NR, to get user equipment to connect to the fake base station. Once connected, the fake base station can deprive the user of connectivity and access to the Internet/cloud. We discovered that a fake base station can disable the victim user equipment’s connectivity for an indefinite period of time, which we validated using our threat prototype against current 4G/5G practices. We designed and built a …

Temporal Scales Of Mass Wasting Sedimentation Across The Mississippi River Delta Front Delineated By 210pb/137cs Geochronology, Jeffrey Duxbury, Samuel J. Bentley, Kehui Xu, Navid H. Jafari

Faculty Publications

The Mississippi River Delta Front (MRDF) is a subaqueous apron of rapidly deposited and weakly consolidated sediment extending from the subaerial portions of the Birdsfoot Delta of the Mississippi River, long characterized by mass-wasting sediment transport. Four (4) depositional environments dominate regionally (an undisturbed topset apron, mudflow gully, mudflow lobe, and prodelta), centering around mudflow distribution initiated by a variety of factors (hurricanes, storms, and fluid pressure). To better understand the spatiotemporal scales of the events as well as the controlling processes, eight cores (5.8–8.0 m long) taken offshore from the South Pass (SP) and the Southwest Pass (SWP) were …

Insights From Augmented Data Integration And Strong Regularization In Drug Synergy Prediction With Synergnet, Mengmeng Liu, Gopal Srivastava, J. Ramanujam, Michal Brylinski

Faculty Publications

SynerGNet is a novel approach to predicting drug synergy against cancer cell lines. In this study, we discuss in detail the construction process of SynerGNet, emphasizing its comprehensive design tailored to handle complex data patterns. Additionally, we investigate a counterintuitive phenomenon when integrating more augmented data into the training set results in an increase in testing loss alongside improved predictive accuracy. This sheds light on the nuanced dynamics of model learning. Further, we demonstrate the effectiveness of strong regularization techniques in mitigating overfitting, ensuring the robustness and generalization ability of SynerGNet. Finally, the continuous performance enhancements achieved through the integration …

Macintosh Type / Creator Codes: Improving Identification Of Files From Macos Classic, Tyler Thorsted

Faculty Publications

Working with Macintosh files from the 1980 to early 2000’s can be challenging as they are often on difficult to access disks, unique encoding, have resource forks, and often don’t use extensions. Identification of files from a Macintosh formatted disk can be accomplished with identification methods such as PRONOM, but what if those standard methods come up empty or are misleading? This paper investigates a method of identification which can provide better results compared to existing methods. The Macintosh operating system used special extended attribute codes to not only identify the file type, but also the original creating application. Called …

Question Mark In Landia, Jane L. Saffitz

Faculty Publications

No abstract provided.

Association Between Seated Trunk Control And Cortical Sensorimotor White Matter Brain Changes In Patients With Chronic Low Back Pain, John R. Gilliam, Pradeep K. Sahu, Jennifer M.C. Vendemia, Sheri P. Silfies

Faculty Publications

Trunk control involves integration of sensorimotor information in the brain. Individuals with chronic low back pain (cLBP) have impaired trunk control and show differences in brain structure and function in sensorimotor areas compared with healthy controls (HC). However, the relationship between brain structure and trunk control in this group is not well understood. This cross-sectional study aimed to compare seated trunk control and sensorimotor white matter (WM) structure in people with cLBP and HC and explore relationships between WM properties and trunk control in each group. Thirty-two people with cLBP and 35 HC were tested sitting on an unstable chair …

Vibrational Study Of Co, O2, And H2 Adsorbed On The Cocrfeni (110) High Entropy Alloy Surface, Frank Mckay, Andrew N. Okafor, David P. Young, Ye Xu, Phillip T. Sprunger

Faculty Publications

The vibrational properties of CO, O2, and H2 molecularly or dissociatively adsorbed on a CoCrFeNi(110) surface have been probed using high-resolution energy loss spectroscopy (HREELS) and modeled using density functional theory (DFT) calculations. Large (∼20 mm3) single-crystal, quaternary face-centered cubic CoCrFeNi was synthesized via a modified Czochralski technique. We show strong evidence that CO adsorbs primarily on bridge and on-top sites in compositionally varied local environments, which reflect the random, multielemental surface composition inherent in a high entropy alloy. A variation of adsorption sites is also found with oxygen, which exhibits two broad groups of modes. Comparison to previous photoemission …

Improvement Of Single-Crystal Structures Of Very Heavy Element Compounds By Refining Anomalous Dispersion Parameters, Florian Meurer, Gregory Morrison, Birgit Hischa, Hans Conrad Zur Loye, Christoph Hennig, Michael Bodensteiner

Faculty Publications

Refining the anomalous dispersion parameters of the four uranium compounds NaUF5, NaU2F9, Cs2(UO2)TiO4, and Cs2(UO2)Ti2O6 gave insights into the crystallographic model improvement of very heavy atoms. We found that the values for the dispersive and absorptive parts, f′ and f″, closely followed the X-ray absorption spectra on their L3, L2, and L1 edges. The obtained values are sensitive to the chemical environment at each crystallographically independent position. An incorrect treatment of the anomalous dispersion correction can lead to a wrong crystallographic model. The above-mentioned, already published structures were improved by this process. General guidelines were given for the crystal structure …

Achieving Destination Sustainability: How Tourist-To-Tourist Interaction Quality Affects Tourist Loyalty?, Junli Gao, Fang Meng Ph.D., Weifeng Guo, Baomin Lin

Faculty Publications

Although tourist-to-tourist interaction (TTI) has been identified as an essential element in tourist experiences, the effect of TTI quality on tourist loyalty, and the mechanism underlying this effect is scarcely discussed in the literature. Based on the self-determination theory, this study aims to examine whether and how TTI quality influences tourist loyalty, representing a significant means to achieve destination sustainability. More specifically, this study tested a moderated mediation model in which basic psychological needs satisfaction mediated the relationship between TTI quality and tourist loyalty, while sociability moderated the link between TTI quality and basic psychological needs satisfaction. A survey research …

Trends In Hot Carrier Distribution For Disordered Noble-Transition Metal Alloys, Eklavya Thareja, Kevin M. Mcpeak, Phillip T. Sprunger, Ilya Vekhter, William A. Shelton

Faculty Publications

We developed and tested an approach for predicting trends for efficient hot carrier generation among disordered metal alloys. We provide a simple argument for the importance of indirect transitions in the presence of disorder, thus justifying the use of joint density of states (JDOS)-like quantities for exploring these trends. We introduce a new JDOS-like quantity, JDOSK , which heuristically accounts for longer lifetimes of quasiparticles close to the Fermi energy. To demonstrate the efficacy of this new quantity, we apply it to the study of Cu50X50 where X = Ag, Au, Pd and Y50Pd50 where Y = Au, Ni. We …

Brain-Hand Function Relationships Based On Level Of Grasp Function In Chronic Left-Hemisphere Stroke, Elizabeth Rizor

Faculty Publications

Background and Objective

The biomarkers of hand function may differ based on level of motor impairment after stroke. The objective of this study was to determine the relationship between resting state functional connectivity (RsFC) and unimanual contralesional hand function after stroke and whether brain-behavior relationships differ based on level of grasp function.

Methods

Sixty-two individuals with chronic, left-hemisphere stroke were separated into three functional levels based on Box and Blocks Test performance with the contralesional hand: Low (moved 0 blocks), Moderate (moved >0% but < 90% of blocks relative to the ipsilesional hand), and High (moved ≥90% of blocks relative to the ipsilesional hand).

Results

RsFC in the ipsilesional and interhemispheric motor networks was reduced in the Low group compared …

Long-Range White Matter Fibres And Post-Stroke Verbal And Non-Verbal Cognition, Rebecca W. Roth, Deena Schwen Blackett, Ezequiel Gleichgerrcht, Janina Wilmskoetter, Chris Rorden, Roger Newman-Norlund, Souvik Sen, Julius Fridriksson Ph.D., Natalie Busby, Leonardo Bonilha

Faculty Publications

Among stroke survivors, linguistic and non-linguistic impairments exhibit substantial inter-individual variability. Stroke lesion volume and location do not sufficiently explain outcomes, and the neural mechanisms underlying the severity of aphasia or non-verbal cognitive deficits remain inadequately understood. Converging evidence supports the idea that white matter is particularly susceptible to ischaemic injury, and long-range fibres are commonly associated with verbal and non-verbal function. Here, we investigated the relationship among post-stroke aphasia severity, cognition, and white matter integrity. Eighty-seven individuals in the chronic stage of stroke underwent diffusion MRI and behavioural testing, including language and cognitive measures. We used whole-brain structural connectomes …

A Tribute To Gregory A. Voth, Jaehyeok Jin, William G. Noid, Jianing Li, Revati Kumar, Jianshu Cao, Seogjoo Jang, Francesco Paesani, David Reichman

Faculty Publications

No abstract provided.

Response Of A Terrestrial Polar Ecosystem To The March 2022 Antarctic Weather Anomaly, J. E. Barrett, Byron J. Adams, Peter T. Doran, Hilary A. Dugan, Krista F. Myers, Mark R. Salvatore, Sarah N. Power, Meredith D. Snyder, Anna T. Wright, Michael N. Gooseff

Faculty Publications

Record high temperatures were documented in the McMurdo Dry Valleys, Antarctica, on 18 March 2022, exceeding average temperatures for that day by nearly 30°C. Satellite imagery and stream gage measurements indicate that surface wetting coincided with this warming more than 2 months after peak summer thaw and likely exceeded thresholds for rehydration and activation of resident organisms that typically survive the cold and dry conditions of the polar fall in a freeze-dried state. This weather event is notable in both the timing and magnitude of the warming and wetting when temperatures exceeded 0°C at a time when biological communities and …

Effects Of Exercise Or Metformin On Myokine Concentrations In Patients With Breast And Colorectal Cancer: A Phase Ii Multi-Centre Factorial Randomized Trial, Justin C. Brown, Guillaume Spielmann, Shengping Yang, Stephanie L.E. Compton, Lee W. Jones, Melinda L. Irwin, Jennifer A. Ligibel, Jeffrey A. Meyerhardt

Faculty Publications

Background: Physical activity and metformin pharmacotherapy are associated with improved clinical outcomes in breast and colorectal cancer survivors. Myokines are cytokines secreted from skeletal muscle that may mediate these associations. Methods: This hypothesis-generating analysis used biospecimens collected from a multi-centre 2 × 2 factorial randomized design of 116 patients with stage I–III breast and colorectal cancer who were randomized to 12 weeks of (1) aerobic exercise (moderate intensity titrated to 220 min/week); (2) metformin (850 mg daily for 2 weeks and then titrated to 850 mg twice per day); (3) aerobic exercise and metformin; or (4) control. Fourteen myokines were …

The Risk Management Of Covid-19: Lessons From Financial Economics And Financial Risk Management, Don M. Chance

Faculty Publications

The United States had one of the worst outcomes in the management of COVID-19 risk, with a death rate in the 94th percentile of all countries. Setting aside the obvious politicized nature of COVID-19 public health recommendations and mandates, we argue that best practices in financial risk management provide parallels that could have served as valuable guidance. We demonstrate here that considerable signals were missed that would have required very little effort and would have been consistent with sound risk management. We also identify examples of misleading information such as that COVID-19 was particularly hard on the elderly. The data …

Response Of The First Polar-2 Prototype To Polarized Beams, Merlin Kole, Nicolas De Angelis, Ana Bacelj, Franck Cadoux, Agnieszka Elwertowska, Johannes Hulsman, Hancheng Li, Grzegorz Łubian, Tomasz Kowalski, Gilles Koziol, Agnieszka Pollo, Nicolas Produit, Dominik Rybka, Adrien Stil, Jianchao Sun, Xin Wu, Kacper Zezuliński, Shuang-Nan Zhang

Faculty Publications

POLAR-2 is a dedicated gamma-ray polarimeter currently foreseen to be launched towards the China Space Station around 2027. The design of the detector is based on the legacy of its predecessor mission POLAR which was launched in 2016. POLAR-2 aims to measure the polarization of the Gamma-ray Burst prompt emission within the 30–800 keV energy range. Thanks to its high sensitivity to gamma-ray polarization, as well as its large effective area, POLAR-2 will provide the most precise measurements of this type to date. Such measurements are key to improve our understanding of the astrophysical processes responsible for Gamma-Ray Bursts. The …

Response Of The First Polar-2 Prototype To Polarized Beams, Merlin Kole, Nicolas De Angelis, Ana Bacelj, Franck Cadoux, Agnieszka Elwertowska, Johannes Hulsman, Hancheng Li, Grzegorz Łubian, Tomasz Kowalski, Gilles Koziol, Agnieszka Pollo, Nicolas Produit, Dominik Rybka, Adrien Stil, Jianchao Sun, Xin Wu, Kacper Zezuliński, Shuang-Nan Zhang

Faculty Publications

POLAR-2 is a dedicated gamma-ray polarimeter currently foreseen to be launched towards the China Space Station around 2027. The design of the detector is based on the legacy of its predecessor mission POLAR which was launched in 2016. POLAR-2 aims to measure the polarization of the Gamma-ray Burst prompt emission within the 30–800 keV energy range. Thanks to its high sensitivity to gamma-ray polarization, as well as its large effective area, POLAR-2 will provide the most precise measurements of this type to date. Such measurements are key to improve our understanding of the astrophysical processes responsible for Gamma-Ray Bursts. The …

Storm Surge Modeling In The Ai Era: Using Lstm-Based Machine Learning For Enhancing Forecasting Accuracy, Stefanos Giaremis, Noujoud Nader, Clint Dawson, Carola Kaiser, Efstratios Nikidis, Hartmut Kaiser

Faculty Publications

Physics simulation results of natural processes usually do not fully capture the real world. This is caused for instance by limits in what physical processes are simulated and to what accuracy. In this work we propose and analyze the use of an LSTM-based deep learning network machine learning (ML) architecture for capturing and predicting the behavior of the systemic error for storm tide forecast models with respect to real-world water elevation observations from gauge stations during hurricane events. The overall goal of this work is to predict the systemic error of the physics model and use it to improve the …

A Comparative Study Of Hpv Vaccine Acceptability Across Global North And South Countries: Usa And Kenya, Robert Nyaga, Prince Adu Gyamfi

Faculty Publications

This study examined the HPV vaccine landscape in Kenya and the USA with

a focus on if differences exist in the perceptions of HPV knowledge, vaccine

attitudes, subjective norms, perceived behavioural control, and vaccine

intention among students across country and gender. It also provides useful

findings that can inform the design of persuasive health messages to promote

the uptake of HPV vaccines among college students in Kenya and the USA.

The study used surveys to recruit 1,033 participants (511 Kenyan and 522 USA

students). The two-way MANOVA analysis revealed that the multivariate

main effects showed no significant differences for gender, …