Physical Sciences and Mathematics Commons^™

Bibliography For "Ai: The Next Chapter Display", Arianna Tillman, Isabella Piechota

Library Displays and Bibliographies

A bibliography created to support a display about artificial intelligence at the Leatherby Libraries during Fall 2024 at the Leatherby Libraries at Chapman University.

Validating Irregular Metallicities In Galactic Center Stars, Kiyah Young-Wilson, Joshua Shields

CURCI Student Research

In the summer of 2024, I participated in research under Dr. Wolfgang Kerzendorf, a professor at Michigan State University, and Dr. Joshua Shields, a postdoctoral researcher who works with Dr. Kerzendorf. Dr. Shields developed the open-source code STARDIS, which used photosphere models from databases such as MARCS to generate stellar spectra; within STARDIS, the elemental abundance of these stars can be adjusted. My objective was to use STARDIS to adjust generated spectra and compare the results to observed absorption spectrum from Galactic Center Stars to verify if certain stars contained an abnormal amount of certain heavy elements, such as Scandium. …

‭ Configuraciones De Redes Eléctricas Híbridas Eólico-Nuclear En Tierra Del Fuego:‬ ‭ Evaluación De La Viabilidad Técnica Y Las Principales Barreras Para El Despliegue‬ ‭ Remoto De Reactores Nucleares Modulares Pequeños Y Micro Modulares‬ ‭, Madeline P. O'Keefe

Argentina: People, Environment, and Climate Change in Patagonia and Antarctica

‭ Resumen‬ ‭

Este papel evalúa la viabilidad técnica de desplegar reactores modulares remotos para‬ ‭ complementar un proyecto de parque eólico existente en la red eléctrica aislada de Tierra del‬ ‭ Fuego, Argentina. Una transición rápida hacia tecnologías de energía limpia es crucial para‬ ‭ mitigar las emisiones de gases de efecto invernadero causadas por humanos, siendo la‬ ‭ producción y el consumo de energía los principales contribuyentes al cambio climático. Dentro‬ ‭ de estas tecnologías, la energía nuclear ofrece una solución confiable, escalable y de bajas‬ ‭ emisiones de carbono. En el campo de la energía nuclear, este …

Revised Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Third Quarter 2023, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit (Bpsou) Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Fourth Quarter 2022., Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Revised Final Multi-Pathway Residential Metals Abatement Program Plan, Atlantic Richfield Company, Butte Silver Bow

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Water Current, Volume 56, No. 3, Fall 2024

Water Current Newsletter

No abstract provided.

Enzyme Encapsulation Within The Hk97 Virus-Like Particle: An Investigation Of Substrate Inhibition Kinetics Within A Confined And Crowded Environment, Joseph B. Lively

Chemistry Theses

Substrate inhibition is a paradoxical phenomenon observed in enzyme kinetics where increasing substrate concentrations lead to a marked decrease in the rates of enzyme-catalyzed reactions. Affecting an estimated 20% of studied enzymes, substrate inhibition poses significant challenges to the understanding of their function in essential biological processes and to their exploitation in industrial and therapeutic contexts. Studies show substrate inhibition to be a real limitation in vitro and rational conclusions have been drawn to explain the relevance of substrate inhibition in the self-regulation of biological pathways. However, there is currently no consensus on what role substrate inhibition plays in vivo …

Rates Of Reporting And Analyzing Race And Ethnicity In Athlete-Specific Sports Medicine Research: A Systematic Review, John H. Sonnier, Carlo Coladonato, Irfan A. Khan, Gregory Connors, Ryan W. Paul, Anya T. Hall, Emma E. Johnson, Meghan E. Bishop, Fotios P. Tjoumakaris, Kevin B. Freedman

Rothman Institute Papers

BACKGROUND: Race- and ethnicity-based differences in treatment access and outcomes have been reported in the orthopaedic sports medicine literature. However, the rate at which race and ethnicity are reported and incorporated into the statistical analysis of sports medicine studies remains unclear.

PURPOSE: To determine the rate at which race and ethnicity are reported and analyzed in athlete-specific sports medicine literature.

STUDY DESIGN: Systematic review; Level of evidence, 4.

METHODS: Using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, articles published by the 3 journals of the American Orthopaedic Society for Sports Medicine between 2017 and 2021 were considered …

Battery Recycling In Nebraska, Kathryn Singh, Keegan Dunn, Emily Klinger

Environmental Engagement in the Community (ENVR 319): Student Projects

Environmental Engagement in the Community projects, fall 2024

A poster titled Battery Recycling in Nebraska for clients Douglas County Environmental Services and Recycling Council.

The Green Office Initiative: Managing Waste With Purpose, Allison Page, Lauren Smith, Naomi Mark

Environmental Engagement in the Community (ENVR 319): Student Projects

Environmental Engagement in the Community projects, fall 2024

A poster titled The Green Office Initiative: Managing Waste with Purpose for client Lincoln Electric System (Katie Gutierrez and Dalton Johnson).

Optimizing Local Access To Information On Saving The Planet!, Sami Garcia

Environmental Engagement in the Community (ENVR 319): Student Projects

Environmental Engagement in the Community projects, fall 2024

A poster titled Optimizing Local Access to Information on Saving the Planet! for client Lincoln-Lancaster County Health Department.

Local Energy For Local Water: Urban-Rural Collaboration, Meg Brady, Clementine Ewomsan

Environmental Engagement in the Community (ENVR 319): Student Projects

Environmental Engagement in the Community projects, fall 2024

A poster titled Local Energy for Local Water: Urban-Rural Collaboration for client James Persson.

Calibrated One-Class Classification For Unsupervised Time Series Anomaly Detection, Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang

Research Collection School Of Computing and Information Systems

Time series anomaly detection is instrumental in maintaining system availability in various domains. Current work in this research line mainly focuses on learning data normality deeply and comprehensively by devising advanced neural network structures and new reconstruction/prediction learning objectives. However, their one-class learning process can be misled by latent anomalies in training data (i.e., anomaly contamination) under the unsupervised paradigm. Their learning process also lacks knowledge about the anomalies. Consequently, they often learn a biased, inaccurate normality boundary. To tackle these problems, this paper proposes calibrated one-class classification for anomaly detection, realizing contamination-tolerant, anomaly-informed learning of data normality via uncertainty …

Gradualreality: Enhancing Physical Object Interaction In Virtual Reality Via Interaction State-Aware Blending, Hyuna Seo, Juheon Yi, Rajesh Krishna Balan, Youngki Lee

Research Collection School Of Computing and Information Systems

We present GradualReality, a novel interface enabling a Cross Reality experience that includes gradual interaction with physical objects in a virtual environment and supports both presence and usability. Daily Cross Reality interaction is challenging as the user’s physical object interaction state is continuously changing over time, causing their attention to frequently shift between the virtual and physical worlds. As such, presence in the virtual environment and seamless usability for interacting with physical objects should be maintained at a high level. To address this issue, we present an Interaction State-Aware Blending approach that (i) balances immersion and interaction capability and (ii) …

D2sr: Decentralized Detection, De-Synchronization, And Recovery Of Lidar Interference, Darshana Rathnayake, Hemanth Sabbella, Meera Radhakrishnan, Archan Misra

Research Collection School Of Computing and Information Systems

We address the challenge of multi-LiDAR interference, an issue of growing importance as LiDAR sensors are embedded in a growing set of pervasive devices. We introduce a novel approach named D2SR, enabling decentralized interference detection, mitigation, and recovery without explicit coordination among nearby LiDAR devices. D2SR comprises three stages: (a) Detection, which identifies interfered frames, (b) Mitigation, which performs time-shifting of a LiDAR’s active period to reduce interference, and (c) Recovery, which corrects or reconstructs the depth values in interfered regions of a depth frame. Key contributions include a lightweight interference detection algorithm achieving an F1-score of 92%, a simple …

Final Bpsou Insufficiently Reclaimed Sites Belle Of Butte (Bres No. 8 & Ur-39) Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Proposed Plan To Amend The Remedial Action For The Butte Priority Soils Operable Unit, Environmental Protection Agency

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Foss: Towards Fine-Grained Unknown Class Detection Against The Open-Set Attack Spectrum With Variable Legitimate Traffic, Ziming Zhao, Zhaoxuan Li, Xiaofei Xie, Jiongchi Yu, Fan Zhang, Rui Zhang, Binbin Chen, Xiangyang Luo, Ming Hu, Wenrui Ma

Research Collection School Of Computing and Information Systems

Anomaly-based network intrusion detection systems (NIDSs) are essential for ensuring cybersecurity. However, the security communities realize some limitations when they put most existing proposals into practice. The challenges are mainly concerned with (i) fine-grained unknown attack detection and (ii) ever-changing legitimate traffic adaptation. To tackle these problem, we present three key design norms. The core idea is to construct a model to split the data distribution hyperplane and leverage the concept of isolation, as well as advance the incremental model update. We utilize the isolation tree as the backbone to design our model, named FOSS, to echo back three norms. …

Multi-Scale Ai-Assisted Gene Expression Decoding, Fengyao Yan

Theses and Dissertations

Genes can be treated as a graph that can be mapped. Tremendous information is coded in genes to ensure a complex functioning organism. Decoding this information is critical to understanding our biology and developing treatments for various diseases including cancer. Deep learning, a new branch of computer science, has gained traction over the past decade. It offers more insight into the data that is processed by the deeplearning models. Our study has shown that deep-learning models can be an effective tool in decoding genetic data such as gene tissue-deconvolution, gene graph mapping and genomic imputation. In tasks such as tissue …

Using Machine Learning And Deep Learning Algorithms To Improve Low Birthweight Prediction, Yang Ren

Theses and Dissertations

Low birthweight (LBW) is a major public health issue resulting in increased neonatal mortality and long-term health complications. Traditional LBW analysis methods, focusing on incidence rates and risk factors through statistical models, often struggle with complex unseen data, and thus, their effectiveness is limited in early prevention of LBW, requiring more advanced LBW prediction models. Therefore, this dissertation delves into this important research area by proposing and examining novel machine learning (ML) and deep learning (DL) algorithms, aiming to predict LBW more accurately during the early stage of pregnancy. This dissertation consists of three studies, strategically designed to build upon …

A Low Density Tracker For The Dune Nd Complex., Nibir Talukdar

Theses and Dissertations

The Deep Underground Neutrino Experiment (DUNE) is a next-generation long- baseline neutrino experiment aimed at resolving mass hierarchy and the CP violation puzzle in the neutrino sector. Although neutrinos are the most abundant particles in the universe, their study is challenging due to their extremely low interaction cross sections. DUNE aims to overcome these challenges by sending a beam of muon (anti)neutrinos from Fermilab, located near Chicago, to the Sanford Underground Research Facility (SURF) in South Dakota.

The experiment consists of a near detector (ND) complex at Fermilab, which mea- sures the composition of the unoscillated neutrino beam, and a …

Bayesian Nonparametric Models For Pooled Data, Yizeng Li

Theses and Dissertations

This work examines two applications of pooling: group testing and pooled biomonitoring. Group testing, introduced by Dorfman in the early 1940s, was initially developed to screen for syphilis among U.S. inductees during World War II. Since then, the approach has demonstrated cost-saving benefits in diverse fields, including drug discovery, genetics, and infectious disease testing. While various regression methods—parametric, nonparametric, and semiparametric—have been proposed to analyze group testing data, they fall short in addressing age-related disparities in disease presence if such variations exist. In Chapter 2, we address this gap by expanding varying coefficient regression within a Bayesian framework to accommodate …

Nonlinear Optical Studies Of Complex Materials, Govinda Kharal

Theses and Dissertations

This dissertation presents an in-depth exploration of nonlinear optical investigations into complex material systems, employing second harmonic generation (SHG) and complementary bulk measurement techniques. The first project focuses on surface symmetries and phase transitions in IrTe2. Using SHG and electrical resistance measurements, we systematically investigate temperature-induced symmetry changes and reveal significant shifts in transition temperatures due to thermal cycling. Comparison with bulk X-ray diffraction confirms that these shifts are surface-related, providing a new interpretation of inconsistencies in reported transition temperatures. Our findings emphasize the effectiveness of SHG in capturing subtle surface phenomena, with future directions involving straincontrolled studies to manipulate …

Measurement Of Single Differential Cross Sections, Polarization Observables, And Beam-Spin Asymmetry In Charged Two-Pion Electroproduction Off The Proton, Christopher Andrew Mclauchlin

Theses and Dissertations

Emergent phenomena are described as such due to functional differences in paradigms based on observation scale, one of the most fundamental being the emergence of hadronic structure from bare quarks and gluons, as dictated by the strong interaction. Measurement of charged two-pion electroproduction off the proton with CLAS in run group E1-6 and the extraction of single differential cross sections, polarization observables, and beam-spin asymmetries was performed as a necessary step in illuminating the length scale currently dark to Quantum Chromodynamics within the structure of the proton. Understanding the scale-dependent nature of this hadronic structure is integral to understanding nature …

Observation Of Oxygenated Intermediates In Functional Mimics Of Aminophenol Dioxygenase, Laxmi Devkota, Jin Xiong, Anne A. Fischer, Kate Murphy, Praveen Kumar, Ellie L. Balensiefen, Sergey V. Lindeman, Cordina V. Popescu, Adam T. Fiedler

Chemistry Faculty Research and Publications

Aminophenol dioxygenases (APDO) are mononuclear nonheme iron enzymes that utilize dioxygen (O₂) to catalyze the conversion of o-aminophenols to 2-picolinic acid derivatives in metabolic pathways. This study describes the synthesis and O₂ reactivity of two synthetic models of substrate-bound APDO: [Fe^II(Tp^Me2)(^tBu2APH)] (1) and [Fe^II(Tp^Me2)(^tBuAPH)] (2), where Tp^Me2 = hydrotris(3,5-dimethylpyrazole-1-yl)borate, ^tBu2APH = 4,6-di-tert-butyl-2-aminophenolate, and ^tBuAPH₂ = 4-tert-butyl-2-aminophenolate. Both Fe(II) complexes behave as functional APDO mimics, as exposure to O₂ results in oxidative …

Salts Of 2-Amino-5-Iodo­Pyridinium, Benjamin A. Mukda, Diane A. Dickie, Mark M. Turnbull

Chemistry

Reaction of 2-amino-5-iodopyridine (5IAP) with concentrated HBr at room temperature yielded 2-amino-5-iodopyridinium bromide, C₅H₆IN₂⁺·Br^- or (5IAPH)Br. The complex formed pale-yellow crystals, which exhibit significant hydrogen bonding between the amino and pyridinium N - H donors and bromide ion acceptors. Halogen bonding is also observed. Similarly, reaction of 5IAP with cobalt(II) chloride in mixed HCl/HBr in 1-propanol yielded 2-amino-5-iodopyridinium (2-amino-5-iodopyridine-κN¹)bromido/chlorido(0.51/2.48)cobalt(II), (C₅H₆IN₂)[CoBr_0.51Cl_2.48(C₅H₅IN₂)] or (5-IAPH)[(5IAP)CoCl_2.48Br_0.51], as blue block-shaped crystals. Two of the three …

Conducting Structure-From-Motion (Sfm) Modeling Of Freshwater Environments Using Unpiloted Aerial Systems (Uas): Challenges And Lessons Learned, Benjamin T. Fraser, Christine L. Bunyon, Russell G. Congalton

Faculty Publications

The pairing of Unpiloted Aerial Systems (UAS) and Structure from Motion (SfM) has provided new capabilities for modeling freshwater environments. Applications of UAS-SfM range from water quality monitoring to the mapping of aquatic vegetation. The models produced provide users with the ability to analyze features at ultra-high-resolutions and across scales not easily achieved through in situ sampling. Despite the demonstrated benefits of UAS-SfM in freshwater and other natural resource disciplines, there remain fundamental technical challenges in the modeling of environments with homogenous surfaces (e.g., water). In this research, the effectiveness of several image collection and processing approaches for the modelling …

Reframing And Advancing Academic Mentorship To Support New And Early Career Faculty Members, Juanita-Dawne R. Bacsu, Patricia C. Heyn, Steffi Kim, Zahra Rahemi, Monique J. Brown, Darina V. Petrovsky, Justine S. Sefcik, Jodi L. Southerland, Jeremy Holloway, Elyse Couch, Ayse Malatyali, Matthew L. Smith

Faculty Publications

Mentorship is critical to fostering professional growth and career development in academia. However, academic mentorship is often an informal activity that is overlooked and under researched. There is much ambiguity and uncertainty surrounding mentorship roles and strategies in academia. This paper provides recommendations and strategies to reframe and advance academic mentorship to support new and early career faculty.

Engaging Students In The Scientific Process: An Examination Of Active Learning Strategies In Introductory Geoscience Labs, Meryssa Piper

Theses and Dissertations

High-quality instruction of introductory geoscience courses entices students to major in geoscience fields and ensures undergraduate students have opportunities to learn and apply scientific information and practices. Prior studies indicate that active learning strategies in higher education settings can increase student knowledge and interest. This dissertation explores the integration of two active learning strategies in introductory geoscience laboratory courses: inquiry and gamification The first study housed in Chapter 2 investigates the level of inquiry used in introductory geoscience lab activities across the United States. Through a comprehensive analysis of these activities, this chapter assesses: (1) the degree to which instructor …