Digital Commons Network^™

Final 2024 Residential Metals Abatement Program (Rmap) Brown’S Gulch Borrow Submittal #1, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Enhancing Post Silicon Visibility Using Language Modelling Techniques, Nathaniel Joseph Fender

USF Tampa Graduate Theses and Dissertations

The debugging phase is a critical time in the development of a new system on chip product. Specifically, the post-silicon validation phase is one of the most important, as it allows engineers to test the behavior of a device in a real world setting. However, the issue of noisy or incomplete data is a frequent issue when attempting to debug an SoC design during this step. This thesis examines the utility of utilizing machine learning models for the purpose of repairing missing data in a system trace. We trained various models using the transformer architecture to identify missing data in …

Predicting Human Chess Moves With Large Language Models, Benjamin Kreiger

USF Tampa Graduate Theses and Dissertations

As artificial intelligence (AI) surpasses human performance in more tasks, the interest in leveraging and collaborating with this technology for greater productivity continues to grow. However, the black-box nature of current AI can make it difficult to interpret and unsuitable to perform tasks that are more complex and require human intuition. This has led to the pursuit of AI systems that can model individual behavior. Chess offers an ideal environment to explore this task due to its complexity, structure, and the abundance of data containing unique human decision-making examples. Given that a chess game can be fully represented with text, …

Ipydisp V2 Alias Dudutracker: A Web-Based Version, Komi Mensah Agboka, Elfatih M. Abdel-Rahman, Samira A. Mohamed, Sunday Ekesi

All Peer-Reviewed Publications

This study presents the updated version v2 of IpyDisp named DuduTracker which improves on the window-only-requirement of IpyDisp. The updated version is web-based that can be used in alternative operating systems like Ubuntu, Mac, Linux, and others. The update's effectiveness was also evaluated using a survey involving a diverse range of users including students, data analysts, and academic researchers from different age groups, geographical locations, and computer literacy levels. Areas for future enhancement were identified, primarily focused on making the software responsive to various screen types and improving certain interface aspects.

Syntheses And Crystal Structures Of The Imides 4-(2-Phenyl­Eth­Yl)- And 4-[2-(4-Hy­Droxy­Phen­Yl)Eth­Yl]-4-Aza­Tetra­Cyclo­[5.3.2.0,2,6.08,10]Dodec-11-Ene-3,5-Dione, Jonathan P. Bajko, Richard J. Staples, Shannon Biros

Open Access Publishing Support Funded Articles

The syntheses and characterization (NMR and XRD) of two substituted [2.2.2]bi­cyclo­octene ring systems are described here. The cyclo­hexene rings of these systems adopt a nearly perfect boat conformation according to analysis using Cremer–Pople parameters. Both structures contain a nearly planar imide ring that is oriented endo relative to a bridgehead cyclo­propyl ring. 4-(2-Phenyl­eth­yl)-4-aza­tetra­cyclo­[5.3.2.0^2,6.0^8,10]dodec-11-ene-3,5-dione, C₁₉H₁₉NO₂, is substituted with a phenylethyl group that hosts C—H⋯π inter­actions in the crystal. 4-[2-(4-Hy­droxy­phen­yl)eth­yl]-4-aza­tetra­cyclo­[5.3.2.0^2,6.0^8,10]dodec-11-ene-3,5-dione, C₁₉H₁₉NO₃, bears a 4-hy­droxy­phenylethyl group on the imide ring and contains O—H⋯O …

Techniques For Modeling Ocean Soundscapes: Detailed Description For Wind Contributionsa, Martin Siderius, Michael A. Ainslie, John Gebbie, Alexandra Schäfke, N Ross Chapman, Bruce Martin, Kay L. Gemba

Electrical and Computer Engineering Faculty Publications and Presentations

Wind over the ocean creates breaking waves that generate air-filled bubbles, which radiate underwater sound. This wind-generated sound is a significant component of the ocean soundscape, and models are essential for understanding and predicting its impact. Models for predicting sound pressure level (SPL) from wind have been studied for many years. However, the terminology and definitions behind modeling approaches have not been unified, and ambiguity has led to differences in predicted SPL. The 2022 Ambient Sound Modeling Workshop was organized to compare ambient sound modeling approaches from different researchers. The main goal of the workshop was to quantify differences in …

A Finite-Horizon Approach To Active Level Set Estimation, Phillip Kearns, Bruno Jedynak, John Lipor

Mathematics and Statistics Faculty Publications and Presentations

We consider the problem of active learning for level set estimation (LSE), where the goal is to localize all regions where a function of interest lies above/below a given threshold as quickly as possible. We present a finitehorizon search procedure to perform LSE in one dimension while optimally balancing both the final estimation error and the distance traveled during active learning for a fixed number of samples. A tuning parameter is used to trade off between the estimation accuracy and distance traveled. We show that the resulting optimization problem can be solved in closed form and that the resulting policy …

Targeted Study Of The Effect Of Yeast Strain On Volatile Compounds Produced In Sorghum Beer, Drew Budner, Joseph Carr, Brett Serafini, Samantha Tucker, Elisabeth Dieckman-Meyer, Lindsey Bell, Katherine A. Thompson-Witrick

Chemistry

An increase in the consumer demand and the availability of gluten-free products has led to several brewers investigating brewing with grains other than barley. The primary grain of choice has been sorghum. These new gluten-free beers have a unique flavor and aroma, which previous research has shown is the result of differences in concentration for key chemical compounds, including ethyl butyrate, butyl acetate, isoamyl acetate, ethyl caproate, hexyl acetate, 1-octanol, nonanal, ethyl octanoate, and ethyl decanoate. This study focused looked at the influence different strains of yeast had on the concentration of these key compounds. Beer was brewed using either …

Mxfda: A Comprehensive Toolkit For Functional Data Analysis Of Single-Cell Spatial Data., Julia Wrobel, Alex C. Soupir, Mitchell T. Hayes, Lauren C. Peres, Thao Vu, Andrew Leroux, Brooke L. Fridley

Manuscripts, Articles, Book Chapters and Other Papers

SUMMARY: Technologies that produce spatial single-cell (SC) data have revolutionized the study of tissue microstructures and promise to advance personalized treatment of cancer by revealing new insights about the tumor microenvironment. Functional data analysis (FDA) is an ideal analytic framework for connecting cell spatial relationships to patient outcomes, but can be challenging to implement. To address this need, we present mxfda, an R package for end-to-end analysis of SC spatial data using FDA. mxfda implements a suite of methods to facilitate spatial analysis of SC imaging data using FDA techniques.

AVAILABILITY AND IMPLEMENTATION: The mxfda R package is freely available …

A Site-Wise Reliability Analysis Of The Abcd Diffusion Fractional Anisotropy And Cortical Thickness: Impact Of Scanner Platforms, Yezhi Pan, L Elliot Hong, Ashley Acheson, Paul M Thompson, Neda Jahanshad, Alyssa H Zhu, Jiaao Yu, Chixiang Chen, Tianzhou Ma, Ho-Ling Liu, Jelle Veraart, Els Fieremans, Nicole R Karcher, Peter Kochunov, Shuo Chen

2020-Current year OA Pubs

The Adolescent Brain and Cognitive Development (ABCD) project is the largest study of adolescent brain development. ABCD longitudinally tracks 11,868 participants aged 9-10 years from 21 sites using standardized protocols for multi-site MRI data collection and analysis. While the multi-site and multi-scanner study design enhances the robustness and generalizability of analysis results, it may also introduce nonbiological variances including scanner-related variations, subject motion, and deviations from protocols. ABCD imaging data were collected biennially within a period of ongoing maturation in cortical thickness and integrity of cerebral white matter. These changes can bias the classical test-retest methodologies, such as intraclass correlation …

Exploring The Structure Of Space Science Research In Mexico Using Science Mapping Tool: Citespace., Ibis Anette Moreno-Lozano, Humberto Carrillo-Calvet, Jose Luis Jiménez-Andrade, Ricardo Arencibia-Jorge

UTA Libraries Staff Publications - Archive

This paper presents an analysis of the knowledge structure of the Mexican scientific community in the field of Space Science in Web of Science, between 2000 and 2019. CiteSpace software helped to identify the influential papers in the domain. The findings of this study shed light on the historical development of Space Science in Mexico and highlight the country's scientific performance with the worldwide trend. Moreover, the study emphasized the importance of bibliometrics in understanding the scientific undercurrents of a discipline. By analyzing co-citation networks, the study identified prominent clusters and research fronts in the field, providing valuable insights into …

Size And Shape Dependence Of Hydrogen-Induced Phase Transformation And Sorption Hysteresis In Palladium Nanoparticles, Xingsheng Sun, Rong Jin

Chemical and Materials Engineering Faculty Publications

Phase transitions of metals in hydrogen (H) environments are critically import- ant for applications in energy storage, catalysis, and sensing. Nanostructured metallic particles can lead to faster charging and discharging kinetics, increased lifespan, and enhanced catalytic activities. However, establishing a direct causal link between nanoparticle structure and function remains challenging. In this work, we establish a computational framework to explore the atomic config- uration of a metal-hydrogen system when in equilibrium with a H environ- ment. This approach combines Diffusive Molecular Dynamics with an itera- tion strategy, aiming to minimize the system’s free energy and ensure uniform chemical potential across …

Frequency Of Low Impact Scores Among Adolescent And Young Adult Student-Athletes With Attention-Deficit/Hyperactivity Disorder And/Or Learning Disorder, Philip Schatz, John Cuzzupe, Justin E. Karr, Nathan E. Cook, Grant L. Iverson

Neurology Faculty Publications

Introduction: Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by attention problems, excessive activity, and impulsivity - occurring in approximately 13% of children 12– 17 years of age, and as many as 16% of older adolescents 18–22 years of age, with a greater prevalence in boys than girls. ADHD frequently co-occurs with specific learning disorder (LD), a neurodevelopmental disorder characterized by difficulties learning and using academic skills, such as reading, writing, and mathematics. Taken together, ADHD and/or LD are common among high school students and college students and can influence performance on computerized tests used in concussion management. However, normative …

Navigating Non-Orthogonality: Exploring Latent Mean Differences In Unbalanced Conditions, Jay B. Jeffries

College of Education and Human Sciences: Dissertations, Theses, and Student Research

Researchers understand that conducting numerous pairwise comparisons between group means increases the Type I error rate, prompting the use of planned contrasts like orthogonal contrast sets. Implicit to orthogonal contrast sets is the principal assumption that groups are balanced in size. Further, when dealing with complex variables like latent constructs, specialized modeling is necessary. Understanding how violations of the assumptions of an orthogonal contrast set and the latent variable model approach can help identify variation in the accuracy of group mean difference. However, hindrances to the accuracy of latent mean orthogonal comparisons when this assumption is untenable remains unsettled. This …

Study Of Graduate Student Instructors’ Attempts To Incorporate And Reflect On Using Discourse Practices In Undergraduate Mathematics Courses, Katie Johnson Sprague

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Within the last decade, the National Council of Teachers of Mathematics (NCTM) has made a call to action, asking educators to engage in effective teaching of mathematics which includes having classrooms rich in mathematical discourse (NCTM, 2014). In this nine-week dissertation study, three mathematics graduate student instructors (GSIs) teaching undergraduate students at a large midwestern university enacted discourse practices to promote mathematical discussions as part of a participatory action research study. The participants were video tapped teaching six times and attended four whole group meetings. The whole group meetings were used to discuss the practices, planning, and enactment of the …

Bridgewater Review Volume 42 Issue 1 Fall 2024 Revised Issue

Bridgewater Review

No abstract provided.

Sustainable Development: A Student Proposal To Revitalize A Computer Lab Nears Completion, Peter Sietins

Bridgewater Review

No abstract provided.

Prediction Of Individual Weight Loss Using Supervised Learning: Findings From The CalerieTm 2 Study, Christina Glasbrenner, Christoph Höchsmann, Carl F. Pieper, Paulina Wasserfurth, James L. Dorling, Corby K. Martin, Leanne M. Redman, Karsten Koehler

Clinical Research Faculty Publications

Background: Predicting individual weight loss (WL) responses to lifestyle interventions is challenging but might help practitioners and clinicians select the most promising approach for each individual. Objective: The primary aim of this study was to develop machine learning (ML) models to predict individual WL responses using only variables known before starting the intervention. In addition, we used ML to identify pre-intervention variables influencing the individual WL response. Methods: We used 12-mo data from the comprehensive assessment of long-term effects of reducing intake of energy (CALERIETM) phase 2 study, which aimed to analyze the long-term effects of caloric restriction on human …

Enigma, Ward Heilman

Bridgewater Review

No abstract provided.

Patterns Of "Gen Z" Protests In Contemporary Asia, Bingyu Zheng

Bridgewater Review

No abstract provided.

Please Understand My Disability: An Analysis Of Youtubers’ Discourse On Disability Challenges, Shuo Niu

Computer Science

Video-sharing platforms offer a unique avenue for people with disabilities (PWDs) to highlight their experiences, including the challenges and accessibility barriers they face. While creators with disabilities effectively use these platforms to share their life struggles and advocate for societal changes, the scope of research exploring the nature of the discourse activities related to disability challenges remains limited. Our study addresses this gap by conducting a comprehensive qualitative content analysis of 468 videos posted by YouTubers with a range of disabilities, including vision, speech, mobility, hearing, and cognitive and neural impairments. Our findings reveal a predominant discussion on stigma and …

A Method For Teaching Biostatisticians To Write And Critique Specific Aims, Jesse D. Troy, Gregory P. Samsa, Megan L. Neely, Steven C. Grambow, Sarah Peskoe, Emily Slade, Gina Maria Pomann

Biostatistics Faculty Publications

This article describes the design of a single instructional module on writing and critiquing the Specific Aims (SA) section of a grant proposal for a biomedical research study. It begins by discussing the goals and learning objectives for the module. Then, it discusses the typical structure of a SA section to orient readers to the core content. This method is rooted in using an established framework for scientific writing, which is presented in brief, along with examples of how it applies to writing the SA section. Then, the structure of the instructional module is described, including the exercises for participants. …

La Ciudad Como Ecosistema Marino. Investigando Sistemas Metabólicos Urbanos Marinos Para Definir El Marco Conceptual De Un Urbanismo Hidráulico Post- Antropocéntrico., En Edumeet Ecotopías Iv International Conference Of Architecture And Transdisciplinarity 2024 27-28 Nov 2024, Elisa Fernández Ramos, Andrés Jaque Ovejero, Eva Hurtado Torán, Joerg Baumeister

Capítulos de libros

La línea de costa es ficticia. El mar se extiende desde las fosas abisales hasta la cima de las montañas, englobando todo lo que ocurre entre medias, y posiblemente este concepto de borde erróneamente preconcebido es la base de muchos retos a los que nos enfrentamos. La línea que delimita de manera figurada el fin de las ciudades y suele coincidir con esta línea de costa, también es ficticia; la ciudad no solo forma parte del ecosistema marino, sino que se extiende sobre él. La urbanización de los océanos está creando un urbanismo marino cada vez más "viscoso", con un …

Geosciences Affiliated Publications: Snapshot Of The Research Publications 2018-2023, Danna Jaimes-Fajardo, Jeremy J. Smith, Lutishoor Salisbury

University Libraries Faculty Publications and Presentations

This report provides a snapshot of the research publications for authors affiliated with the Geosciences department at the University of Arkansas, Fayetteville, for the period 2018-2023. It includes publications by material type; co-author characteristics; ranking of journals according to journal citation reports.

Deephive: A Reinforcement Learning Approach For Automated Discovery Of Swarm-Based Optimization Policies, Eloghosa Ikponmwoba, Opeoluwa Owoyele

Faculty Publications

We present an approach for designing swarm-based optimizers for the global optimization of expensive black-box functions. In the proposed approach, the problem of finding efficient optimizers is framed as a reinforcement learning problem, where the goal is to find optimization policies that require a few function evaluations to converge to the global optimum. The state of each particle within the swarm is defined as its current position and function value within a design space, and the particles learn to take favorable actions that maximize the reward, which is based on the final value of the objective function. The proposed approach …

Research Gaps And Priorities For Quantitative Microbial Risk Assessment (Qmra), Kerry A. Hamilton, Joanna Ciol Harrison, Jade Mitchell, Mark Weir, Marc Verhougstraete, Charles N. Haas, A. Pouyan Nejadhashemi, Julie Libarkin, Tiong Gim Aw, Kyle Bibby, Aaron Bivins, Joe Brown, Kara Dean, Gwyneth Dunbar, Joseph N.S. Eisenberg, Monica Emelko, Daniel Gerrity, Patrick L. Gurian, Emma Hartnett, Michael Jahne, Rachael M. Jones, Timothy R. Julian, Hongwan Li, Yanbin Li, Jacqueline Mac Donald Gibson, Gertjan Medema, J. Scott Meschke, Alexis Mraz, Heather Murphy, David Oryang, Emmanuel De Graft Johnson Owusu-Ansah, Emily Pasek, Abani K. Pradhan

Faculty Publications

The coronavirus disease 2019 pandemic highlighted the need for more rapid and routine application of modeling approaches such as quantitative microbial risk assessment (QMRA) for protecting public health. QMRA is a transdisciplinary science dedicated to understanding, predicting, and mitigating infectious disease risks. To better equip QMRA researchers to inform policy and public health management, an Advances in Research for QMRA workshop was held to synthesize a path forward for QMRA research. We summarize insights from 41 QMRA researchers and experts to clarify the role of QMRA in risk analysis by (1) identifying key research needs, (2) highlighting emerging applications of …

Digital India, Rajendra Srivastava, Vijay Shankar S, Aman Rajeev Kulkarni

Asian Management Insights

At the heart of India’s ongoing digital transformation lies a ‘perfect storm’ of pivotal elements: a robust telecom industry, groundbreaking digital technologies, an evolving payments ecosystem, and widespread smartphone adoption. Together, these elements have redefined connectivity, communication, and financial transactions, positioning India as a leader in the digital age.

The Path To Greening Our Future, Havovi Joshi

Asian Management Insights

More than half of humanity currently lives in urban areas, and the United Nations predicts that figure will reach 70 percent by 2050. Cities worldwide already generate a significant amount of solid waste annually, adding to vexing issues that the global community is trying to address–demand for transportation, air pollution, access to public open spaces, urban sprawl, and general sustainability challenges. Throw in global warming and the copious greenhouse gas (GHG) emissions borne of construction activities, and the challenge of creating the necessary urban infrastructure to cope comes into sharp focus.

Why Isn’T Formula 1 Going Electric?, Terry Van Gevelt

Asian Management Insights

Electric vehicles are not the only sustainable automotive option.

1. While electric vehicles (EVs) are marketed as ‘zero-emission’, their overall environmental impact and battery production all contribute to their lifecycle emissions. In fact, their widespread adoption needs significant infrastructural changes like installing new charging networks and upgrading power grids, which come with substantial environmental and financial costs.

2. Considering a diverse array of energy alternatives, including synthetic e-fuels, could offer Singapore a that is tailored to the specific needs and infrastructural realities of the country and region.

Accelerated Bridge Construction (Abc) Decision Tool, Phil Barutha, Marc Maguire, Elio Saldana, Fray F. Pozo-Lora

Nebraska Department of Transportation: Research Reports

This report investigates the creation and assessment of a decision-making tool developed to aid the Nebraska Department of Transportation (NDOT) in determining the suitability of the Accelerated Bridge Construction (ABC) method for bridge replacement projects. The tool utilizes the Analytic Hierarchy Process (AHP) to integrate different criteria, including Average Daily Traffic (ADT), Average Daily Truck Traffic (ADTT), detour time, railroad impact, economy of scale, and the use of typical details, which were found to be paramount in the decision-making process across the state. A sensitivity analysis was conducted to evaluate the tool’s performance and identify the most significant factors influencing …