Physical Sciences and Mathematics Commons^™

Using The Epic (Exposure, Persuasion, Identification, And Commitment) To Develop A Measure Of Student Buy-In To Laboratory Learning Goals, Elizabeth Blanche Vaughan, A. Montoya-Cowan, Jack Barbera

Chemistry Faculty Publications and Presentations

Buy-in has been described as the series of judgements students make when deciding to engage with a pedagogical practice. Buy-in to pedagogical practices is known to have a meaningful impact on students’ engagement in learning environments, making it a construct of interest for researchers and practitioners. This study develops a measure of student buy-in to faculty defined laboratory learning goals by adapting an existing measure which operationalizes the construct in terms of Exposure, Persuasion, Identification, and Commitment (EPIC). The adapted measure presented in this study, deemed the EPIC-LaG (Laboratory Goals), was developed using learning goals for general and organic chemistry …

Ocean And Coastal Acidification Monitoring Priorities For The Northeast Us And Eastern Canada, Christopher Hunt, Austin Pugh, Jake Kritzer, Samantha Siedlecki, Kumiko Azetsu-Scott, Parker Gassett, Diane Lavoie, Adam Pimenta, Amy Trice, Elizabeth Turner

Faculty Publications

The Interagency Working Group on Ocean Acidification Monitoring Prioritization Plan 2024 calls for Coastal Acidification Networks to identify the ocean and coastal acidification (OCA) monitoring needs most important for their regions. The Northeast Coastal Acidification Network (NECAN) organized a webinar series to study regional needs, which culminated with a workshop in November 2023. This workshop led to the identification of six priority new Monitoring Needs in addition to the maintenance of current monitoring efforts:

• Improve spatial and temporal scale of monitoring co-located OCA variables and biological measurements to better resolve variability of acidification dynamics in concert with biological processes …

Re: Butte Mine Flooding Site Cd, Cv 02-35 Bu-Rfc, 2025 Second Quarter Report, Mark Thompson, Dave Griffis

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Effect Of Eco-Enzyme Application On Soil Nutrient And Plant Productivity Of Green Mustard-Peanut In Inceptisol, Idris Abd Rachman, Buhari Umasugi, Krishna Aji, Nurul Fahira A Hakim, Adnan Sofyan, Asrul Dedy Ali Hasan

Jurnal Kultivasi

Appropriate land management has a long-term impact on soil performance and is believed to improve soil fertility. This study investigated the effect of eco-enzymes on soil nutrients and plant productivity of green mustard-peanut in inceptisol. The research was conducted from February to April 2025. The experiment used a randomized block design (RBD) consisting of 5 treatments and replicated 3 times, so that there were 15 units, including N0 = without Eco-enzyme, N1 = Eco-enzyme 2cc/L. N2= Eco-enzyme 4cc/L, N3= Eco-enzyme 6cc/L, and N4= Eco-enzyme 8cc/L. The commodities used were green mustard (Brassica juncea L) and peanut (Arachis hypogaea Linn). Soil …

Career: Algebra And Representation Theory For Non-Semisimple Topological Field Theory, Matthew Young

Funded Research Records

No abstract provided.

From Anorthosite To Silicic Volcanics: Photometry, Composition, And Buoyancy Of Crustal Rock Types On The Moon, Emily Margaret Culley

Arts & Sciences Graduate Student Theses and Dissertations

To better constrain the formation and evolution of the lunar crust, this dissertation addresses two key aspects of lunar crustal formation: the primary feldspathic crust, formed during solidification of an ancient lunar magma ocean (LMO), and non-mare silicic volcanic constructs, which represent either secondary or tertiary crustal formation processes. Specifically, we performed photometry on Lunar Reconnaissance Orbiter Camera (LROC) Narrow Angle Camera (NAC) images to determine the single-scattering albedo (SSA) of surface features that expose these two non-mare crustal rock types. Using digital terrain models (DTMs) derived from LROC NAC images of each analysis region, we accounted for potential topographic …

Re: Butte Priority Soils Operable Unit (Bpsou) Draft Final Bres No. 35 Del Monte Reclamation Improvement Field Sampling Plan (Fsp), Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Butte Priority Soils Operable Unit Revised Draft Final Reclamation Improvement Sites Field Sampling And Investigation Plan (Fsp): Bres No. 45 – Garfield Response To Agency Comments Received June 28, 2024, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Relational Observables, Quiddities, And Structural Realism, Emily Adlam

Mathematics, Physics, and Computer Science Faculty Articles and Research

In this article, I argue that modern spacetime physics causes problems for a number of traditional accounts of modality, but also offers important new ideas about the connection between modal and non-modal features of reality. I suggest that recent work on relational observables in general relativity and quantum gravity can help us understand how non-modal features of reality could arise from modal features of reality within some form of modal ontic structural realism. In particular, I argue that the notion of an ‘internal view,’ as employed in the partial/complete observables formalism and the quantum reference frame formalism, is an important …

Advanced Robotic Multimodal Imaging With Real-Time Motion Compensation For Dynamic Structural Health Monitoring, George Papaioannou, Christos Mitrogiannis, Mark Schweitzer, Maria Pappa, Pegah Khosravi, Apostolos Karantanas, Chris Ruberg, Shawn Owens, Nikolaos Michailidis

Publications and Research

Modern composite materials promise superior performance and load-bearing capabilities, yet evaluating their structural integrity remains challenging. Current testing methods, such as visual, thermographic, ultrasonic, optical, electromagnetic, terahertz, shearography, X-ray, and neutron imaging, are hampered by long scan durations, limited field of view, suboptimal accuracy, and high costs, particularly when applied to large structures.

This paper addresses these issues by introducing a novel robotic multimodal imaging system that overcomes the limitations of traditional methods. This system dynamically captures both static and dynamic properties of materials using advanced motion compensation techniques. By integrating multiple radiographic modalities into a coordinated robotic platform, it …

Cybersecurity: Digital Stewardship In A Violent World, Rocky K. C. Chang

University Faculty Publications and Creative Works

This paper defines cybersecurity based on the principle of biblical stewardship. The focus of this principle is God, not the technologies, who is the creator and owner of cyberspace and everything in it. Humankind is called by God to steward them by protecting the digital property of our neighbors in cyberspace from malicious attacks. In the context of cybersecurity, a neighbor can be any individual cyber user, practitioner, educator, organization, tech company, or even hacker. However, as argued from the perspectives of human sin and human finitude, the defending stewards can never win over evil in this spiritual battle. Instead, …

A Dendrite Equivalence Relation On Loop Spaces, Spencer Arnesen

Theses and Dissertations

In Definition 2.0.3 we define an equivalence relation on paths such that two paths into a space X are related if doing the first, then the second backwards factors as a loop through a dendrite. This equivalence relation induces a group structure L(X) on a large subset of the loop space of X, namely all loops that have a unique reduced representative. We show that certain continuous maps induce a homomorphism between dentropy groups and that projection from three-dimensional real space to two-dimensional real space does not induce a homomorphism on dentropy groups.. We show that dentropy groups are locally …

Developing A Course-Based Undergraduate Research Experience For Chem 122, Melanie J. Harvey Phd

Sabbatical Projects

Sabbatical presentation from a 2022 Sabbatical

Quantifying Erosion Rates Of The Mission Hills Along The Calaveras, Mission, And Hayward Faults In Northern California To Better Understand The Role Of Fault Geometry On Surface Topography, Ian Duncan Lord

Master's Theses

The San Francisco Bay Area lacks publications on erosion rates and their relationship to restraining bend fault geometry. This thesis presents a detailed geochronologic study of erosion rates from the Mission Hills along the Calaveras, Mission, and Hayward faults located northeast of San Jose, California. The goals are to provide erosion rate values where none currently exist and to gain a better understanding of how fault geometry influences topography along restraining bends. To quantify the erosion rate of these faults, river sediments containing 10Be were collected from 14 catchments using well-established protocols. Of the successfully processed samples, the erosion rates …

Computational Modeling Of Magnetic Field Interaction With Superconductors Under High-Field And High-Dissipation Conditions: A Tdgl Approach Applied To Nb And Nb3sn, Aiden Victor Harbick

Theses and Dissertations

Superconducting radiofrequency (SRF) cavities are essential components in modern particle accelerators, enabling the efficient acceleration of charged particles for various applications in physics, medicine, materials science, and beyond. The performance of these cavities is significantly influenced by the properties of superconducting materials, such as niobium (Nb) and triniobium-tin (Nb3Sn), and the defects and surface features present within the material. This dissertation presents a computational study focused on understanding the behavior of SRF cavities, using a sample-specific time-dependent Ginzburg-Landau (TDGL) framework to simulate their performance under realistic material conditions. The research integrates experimental data and density functional theory (DFT) calculations to …

Mathematics Student Teachers' Curricular Reasoning During Planning, Erika Breann Miller

Theses and Dissertations

Teaching is a complex practice, in part because of all the decisions teachers make daily. This is especially true for student teachers who have little to no prior teaching experience to inform them about the decisions that need to be made in the classroom and how to reason through all those decisions as they plan and enact the lessons. Secondary mathematics student teachers were introduced to the Instructional Pyramid (Dingman et al., 2021) which organizes and maps teacher’s mathematical reasoning onto four elements of a classroom—teacher, student, mathematics, and curriculum—to examine which curricular reasoning aspects they use while planning mathematics …

Re: Butte Priority Soils Operable Unit (Bpsou) Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan (Fsp) For Ur-19 – Butte, Anaconda & Pacific Railway From Montana Street To South Arizona Avenue – Montana Street Adjacent Parcel, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit (Bpsou) Draft Final Reclamation Improvement Sites Field Sampling And Investigation Plan (Fsp): Bres No. 18 – Walkerville Ballfield, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Identification Of Alkynyl Nicotinamide Hsn748 As A Ret Solvent-Front Mutant Inhibitor With Intracranial Efficacy, Ujjwol Khatri, Neetu Dayal, Kofi B Owusu, Mandeep Kaur Hunjan, Shriya Pandey, Haley Anne Harper, Carli Mcmahan, Bennett D Elzey, Tao Shen, Xueqing Hu, Kurt W Evans, Ahmed El-Sheikh, Seong Jun Jo, Frederick W Holtsberg, M Javad Aman, Funda Meric-Bernstam, Sukyung Woo, Herman O Sintim, Jie Wu

Faculty, Staff and Student Publications

RET solvent-front G810C/R/S mutations confer resistance to the currently approved RET protein tyrosine kinase inhibitors (TKIs) selpercatinib and pralsetinib. Moreover, RET fusion-positive lung adenocarcinoma frequently metastasizes to the brain. To address these challenges, it is imperative to develop a RET TKI that is effective against solvent-front mutations and exhibits intracranial activity. We synthesized alkynyl nicotinamide-based RET TKIs and tested their efficacy in cell cultures in inhibiting selpercatinib/pralsetinib-resistant RET solvent-front mutants G810C/R/S found in cancer patients, and in BaF3/KIF5B-RET(G810C) cell-derived subcutaneous and intracranial tumors in vivo. We also evaluated alkynyl nicotinamide RET TKIs in KIF5B-RET-induced lung tumors in immune competent …

The Realization Of 3d Topological Spaces Branched Over Graphs, Christopher L. Duston

Physics Faculty Publications

In this paper we present an implementation of a computer algorithm that automatically determines the topological structure of spacetime, using a branched covering space representation. This algorithm is applied to a few simple examples in dimension 3, and a complete set of the topological spaces branched over several graphs are found. We also include some new visualizations of the branched covering construction, in order to aid and clarify the understanding of how these structures can be used in quantum gravity to realize the topological nature of the spacetime foam.

Note For Quadripartitioned Neutrosophic Offset, Pentapartitioned Neutrosophic Offset, And Heptapartitioned Neutrosophic Offset, Takaaki Fujita

Neutrosophic Systems with Applications

Neutrosophic sets assign each element three independent membership values—truth, indeterminacy, and falsity—and their partitioned extensions introduce additional components subject to sum-bounded constraints. Notable examples include quadripartitioned, pentapartitioned, and heptapartitioned neutrosophic sets. The O set concept further extends this framework by allowing membership values outside the standard [0, 1] interval, including negative values and values exceeding one. In this paper, we introduce and analyze the Quadripartitioned Neutrosophic O set, Pentapartitioned Neutrosophic O set, and Heptapartitioned Neutrosophic O set. These extensions are intended to enhance the expressiveness of neutrosophic theory and to stimulate further research in neutrosophic and fuzzy uncertainty.

Butte Priority Soils Operable Unit (Bpsou) Draft Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan (Fsp): Bres No. 100 – Capri Motel – Arctic Dump, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Computational Investigation Of The Structural And Electronic Effects Of Phenyl, Alkyl, And Halogen Fully Substituted Acenes, Emily A A Jarvis, Viraj Jain, Georgia Grace Tully, Peter W. Jarvis

Chemistry and Biochemistry Faculty Works

Acenes are a class of polycyclic aromatic hydrocarbons that may hold promise as organic semiconductors (OSCs) in solar cells and electronic devices. Their instability and poor solubility present challenges that may be improved by replacing the hydrogens with phenyl, halogen or alkyl substituents to sterically induce a helical twist to these otherwise planar molecules. This twisted structure also impacts the optical properties of these molecules. We employ time-dependent density functional theory (TD DFT) to investigate acenes spanning from naphthalene to heptacene. We focus on the structural and electronic effects of fully substituting these molecular backbones to create seven distinct substituent …

Quantified Possibility Neutrosophic Soft Set Based Decision Support System For Enhanced Accuracy In Sustainable Supplier Selection Decision Analysis, Neha Andaleeb Khalid, Muhammad Saeed

Neutrosophic Systems with Applications

To deal with the concepts of vulnerability, ambiguity, and indeterminacy that are typical in complex decision analysis contexts, neutrosophic set-like structures are frequently used. Although neutrosophic sets are particularly good at handling indeterminate circumstances, indeterminacy plays a part in making the decision making process imprecise and ambiguous. This paper develops a more advanced technique to improve the accuracy of decision analysis problems: the Quantified Possibility Neutrosophic Soft Set Decision Support System (Q^t PNSSDSS). In order to reduce the element of indeterminacy present in conventional neutrosophic sets, the proposed DSS is based on the Quantified Neutrosophic Set, which employs a …

Digital Trading Platform Selection Under Neutrosophic Numbers And Multi-Criteria Decision-Making Methodology: An Illustrative Example, Eman Sayed, Karam M. Sallam, Ibrahim Alrashdi

Neutrosophic Systems with Applications

Uncertainty, vagueness, and incomplete information are pervasive in real-world decision-making scenarios, particularly in multi-criteria decision-making (MCDM) contexts involving expert judgments. To address these challenges, this study introduces a comprehensive decision-making framework that integrates Triangular Neutrosophic Numbers (TNNs) with the Weighted Aggregated Sum Product Assessment (WASPAS) method. The framework begins by capturing expert evaluations using TNNs, which effectively represent the degrees of truth, indeterminacy, and falsity inherent in subjective assessments. These evaluations are then transformed into crisp values using a novel score function that preserves the embedded uncertainty. The resulting decision matrices are aggregated into a unified structure to ensure consistency …

Some Properties Of Neutrosophic Cubic Hypersoft Sets, Lubna Nayab, Muhammad Gulistan, Fawad Hussain

Neutrosophic Systems with Applications

This study addresses the limitations of NCS in managing uncertainties associated with multiple attributes and their further bifurcation. To address this challenge, we propose a generalization of the neutrosophic cubic soft set, introducing the concept of "neutrosophic cubic hyper soft set." Within this framework, we define internal and external neutrosophic cubic hypersoft sets, along with operations such as P-intersection, P-union, P-restricted union, P-extended intersection, P-OR operator, P-AND operator, R-intersection, R-union, R-restricted union, R-extended intersection, R-OR operator, R-AND operator, complement, and relative complement of neutrosophic cubic hyper soft sets. The study explores and presents relevant results, demonstrating the enhanced capability of …

Application Of Multi-Criteria Decision Analysis For Quantifying Responsibility In Ml-Based Intrusion Detection System, Mona Mohamed, Zekra Sakr

Neutrosophic Systems with Applications

With the swift growth in Internet of Things (IoT), certifying secure and trustworthy networks has turned to be a critical challenge, particularly as IoT devices are increasingly vulnerable to sophisticated cyberattacks. As a remedy, intelligent intrusion detection systems (IDS) evolved as promising solutions in recent years, but deciding on the appropriate model remains difficult because of competing performance and trustworthiness criteria. To this end, this paper explores a novel application of an ML-augmented decision-making framework to enhance security-related decision-making in IoT environments. The framework systematically evaluates and ranks ML-based IDS systems according to different evaluation criteria with distinct trade-offs, including …

Re: Revised Draft Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan (Fsp): Bres No. 120 – Bonanza Dump, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Approval Letter With Comments For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Annual Operations And Maintenance (O&M) Butte Treatment Lagoons (Btl) System 2024 (Dated May 30, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Integrated Algorithm And Hardware Design For Hybrid Neuromorphic Systems, James Seekings, Mahsa Ardakani, Peyton Chandarana, Arshia Eslami, Mohammadreza Mohammadi, Ramtin Zand

Faculty Publications

This paper investigates the combined potential of neuromorphic and edge computing to develop a flexible machine learning (ML) system designed for processing data from dynamic vision sensors. We build and train hybrid models that integrate spiking neural networks (SNNs) and artificial neural networks (ANNs) using the PyTorch and Lava frameworks. We explore the effects of quantization on ANN models to assess its impact on both accuracy and energy efficiency. Additionally, we address the challenges of deploying hybrid models on hardware by implementing individual components on specific edge platforms. We also propose an accumulator circuit to bridge the spiking and non-spiking …