Digital Commons Network^™

Bgen 105s.50: Introduction To Business, Justin W. Angle

University of Montana Course Syllabi, 2021-2025

No abstract provided.

Role Of Axial Ligation In The Conformational And Redox Properties Of Cytochromes, Morgan Elisabeth Reik

Dartmouth College Ph.D Dissertations

Heme proteins are crucial for many biological processes including respiration, transport, and catalysis. As electron carriers containing redox active metal centers, their electron transfer (ET) properties are tuned by the protein environment, wherein the reduction potential can be influenced by factors such as heme solvent accessibility, charge, the presence of neighboring redox centers, as well as the identity of the axial ligand. The axial ligand in heme proteins is especially crucial for tuning the electronic properties of the metal center, as it affects the driving force of the reaction. However, the redox properties of heme proteins are further modulated by …

Revised Draft Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 38 – Sister Dump Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Adjoint Enhanced Panel Methods, Christopher Sheehan

Master's Theses

This thesis describes the development, implementation, and validation of an adjoint-enhanced panel method for two-dimensional airfoil analysis. While conventional panel methods are computationally efficient for flow analysis, they typically rely on relatively computationally expensive finite differencing for gradient calculation in design optimization or sensitivity studies, a limitation addressed by employing the discrete adjoint method. The core of this work involves integrating the discrete adjoint method with a Hess-Smith panel code utilizing Class-Shape Transformation (CST) for airfoil parameterization, which requires the analytical derivation of sensitivities for panel geometry, boundary conditions, and the aerodynamic influence matrix with respect to the CST design …

Building A Novel Question-Answering System Using Retrieval-Augmented Generation For The California Fair Political Practices Commission, Saanvi Dua

Master's Theses

The California Fair Political Practices Commission (FPPC) receives a high volume of inquiries via email from public officials, the general public, and other agencies, which currently requires staff to manually search through informational documents and manuals to provide timely responses. This process is both labor- and time-intensive.

To address this challenge, we design a question-answering (QA) system that drafts responses to emailed questions by retrieving relevant information from the FPPC’s manuals using a retrieval-augmented generation (RAG) framework. Although the current implementation focuses on a single manual, the system is designed to be adaptable to the broader set of FPPC documents. …

Enhancing Preparedness: A Genetic Study Of Sar-Cov-2 And Other Microbial Public Health Threats In Wastewater From A College Town, Christian N. Hutchinson

Master's Theses

Problem

The SARS-CoV-2 (COVID-19) pandemic revealed both the systemic vulnerabilities of our healthcare system as well as the importance of timely, localized data for informing public health responses. Traditional testing approaches were essential but often failed to capture the full extent of viral spread, especially in those with mild or asymptomatic conditions that relied on at home testing. This underreporting hindered effective allocation of resources and made developing effective intervention strategies difficult. We also realized the potential for wastewater surveillance to be applied to tracking antimicrobial resistance gene markers. Taken together, this approach should have important implications for improving public …

Draft 2025 Interim Site-Wide Surface Water Monitoring Quality Assurance Project Plan, Woodard & Curran

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2024-25 Lender Report -- Report, Lender Center For Social Justice

The Lender Center for Social Justice

The 2024-25 Lender Report, encompassing the year's events and research.

Scientific Multimodal Summarization : Integrating Knowledge Across Textual, Visual And Auditory Content, Zusheng Tan

Lingnan Theses (MPhil & PhD)

As scientific publications increasingly incorporate multimodal content, ranging from textual descriptions to figures, tables, presentation videos, and audio, there is a growing need for summarization systems that can effectively process and integrate information across these diverse modalities.

This work presents a comprehensive exploration of Scientific Multimodal Summarization, introducing a series of novel architectures and datasets aimed at advancing this emerging field. 1): We begin by introducing CMT-Sum, which integrates multimodal scientific source content (i.e., primarily paper text and figures) to generate high-quality textual summaries and identify representative graphical abstracts. We refer to this task as Scientific Multimodal Summarization with …

Machine Learning-Based Electric Vehicle Charging Demand Forecasting: A Systematized Literature Review, Maher Alaraj, Mohammed Radi, Elaf Alsisi, Munir Majdalawieh, Mohamed Darwish

All Works

The transport sector significantly contributes to global greenhouse gas emissions, making electromobility crucial in the race toward the United Nations Sustainable Development Goals. In recent years, the increasing competition among manufacturers, the development of cheaper batteries, the ongoing policy support, and people’s greater environmental awareness have consistently increased electric vehicles (EVs) adoption. Nevertheless, EVs charging needs—highly influenced by EV drivers’ behavior uncertainty—challenge their integration into the power grid on a massive scale, leading to potential issues, such as overloading and grid instability. Smart charging strategies can mitigate these adverse effects by using information and communication technologies to optimize EV charging …

2025 September - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

Hi All,

The main weather and climate stories of September 2025 for Tennessee were the hot and dry conditions in West Tennessee that led to rapid drought expansion. While the month started out cool, warmer than normal conditions built back into the state from west to east in the second and third weeks of September. Daytime temperatures were especially high, with many locations in the western half of the state seeing high temperatures that were 5-15°F warmer than normal for this time of the year. This combined with a lack of rainfall over the summer season led to rapid drought …

Asian American Artists, Improvisation, And Collaboration, Johnna Wu

Dissertations, Theses, and Capstone Projects

The purpose of my dissertation is to explore how contemporary Asian Americans artist-performers have formulated their identities through collaborations with the Association for the Advancement of Creative Musicians (AACM). The project addresses issues in the existing literature on this topic and provides an alternative framework of cosmopolitanism to understanding the multidimensional aspects of artistic collaborations. The dissertation examines the history of the AACM and the Asian American improvisers and reveals ideological differences among its members on how music should reflect their identities. These histories paved the way for the artist subjects of my three case studies: Miya Masaoka, Vijay Iyer, …

Investigating The Behavior Of Dwarf-Hosting Cosmic Filaments In Regions Of Average Density Within The Universe, Manuel E. Ramirez Hernandez

Dissertations, Theses, and Capstone Projects

The cosmic web is the large-scale structure of the universe, composed of elongated, overdense areas held together by gravity known as cosmic filaments. Within these filaments, dwarf galaxies are ubiquitous and make for excellent laboratories due to their small size. to determine the effects of cosmic web structures on dwarf galaxies. In this thesis, I laid the groundwork to investigate whether dwarf galaxy populations vary across different types of filaments. Filaments were extracted from the gas density field in the New Horizon simulation at $z=0$ using the topological feature finder DisPerSE. I determined the distances of galaxies to their nearest …

Documents From The September 24, 2025 Meeting Of The Associated Students Of The University Of Montana (Asum), Associated Students Of The University Of Montana, Kate Austin Payne

Senate Meeting Agendas and Minutes, 2007-Present

Agenda and meeting minutes from the September 24, 2025 meeting of the Associated Students of the University of Montana (ASUM).

Advancing Social Sustainability In Operations And Supply Chain Management: A Multi-Theoretical Exploration Of Technology, Task Familiarity, And Sustainability Interactions, Satabdi Hazarika

Graduate Theses and Dissertations

Social sustainability in operations and supply chain management (OSCM) centers on generating economic value through practices that safeguard people, communities, and broader societal systems impacted by the supply chain. While the importance of such practices is increasingly recognized, firms face persistent challenges in embedding social sustainability into formal management systems. This dissertation tackles three such challenges, with a particular focus on safety in trucking—a vital yet underexamined aspect from the lens of social sustainability. Safety performance in this context is influenced by the complexities of using advanced safety technologies, the demanding and solitary nature of truck driving, and the temporal …

The Development Of A Meteorological Buoy For Measuring Turbulent Fluxes Along The Air-Sea Boundary Layer, Jane Maria Schwadron

Master's Theses and Capstones

The Air-Sea Flux Buoy (ASFB) is part of a larger effort implemented by the U.S. Department of Energy (DoE) to characterize the dynamics of the marine atmospheric boundary layer (MABL). The ASFB samples the 3D wind velocities, air temperature, and water vapor to derive the air-sea eddy-covariance fluxes of momentum, heat, and humidity. The solar radiation, water temperature, rain intensity, barometric pressure, and water salinity are sampled to estimate the bulk-parameterized stability conditions. A GNSS inertial navigation system enables centimeter-scale motion correction and an onboard cellular modem provides real-time telemetry. Computational fluid dynamics (CFD) simulations, hydrostatic analysis, mooring simulations, and …

A Dynamic Hierarchical Attention Framework For Multimodal Malware Detection, Tamanna Nazmin

Graduate Theses and Dissertations

The increasing use of Android in the worldwide mobile ecosystem has come along with a significant increase in advanced malware, highlighting the critical necessity for efficient, scalable, and adaptable detection systems. Despite recent advancements in machine learning improving malware detection, the majority of current solutions are limited to one, two, or three data modalities, hence neglecting the comprehensive behavioral spectrum of contemporary multi-vector threats. This thesis presents the first comprehensive multimodal framework for Android malware detection, which combines textual, time-series (temporal), graph-based (structural), and visual information using an innovative hierarchical attention mechanism and Dynamic Fusion Controller(DFC). Our methodology consistently classifies …

Variational Temporal Deconfounder Network For Individualized Treatment Effect Estimation With Longitudinal Observational Data, Hao Dai, Yu Huang, Yuxi Liu, Xing He, Jingchuan Guo, Mattia Prosperi, Jiang Bian

Faculty, Staff and Student Publications

Objective: By leveraging real-world electronic health record (EHR) data, this study set out to estimate individualized treatment effects (ITE) in longitudinal observational settings to advance personalized medicine, addressing key challenges that are often observed in real-world clinical scenarios and pose statistical challenges, including hidden confounding and dynamic treatment regimens.

Methods: We propose the Variational Temporal Deconfounder Network (VTDNet), a novel framework designed to account for time-varying hidden confounding using a variational recurrent transformer-based autoencoder. Specifically, VTDNet comprises three critical components: a temporal Encoder-Decoder structure to capture hidden representation, a Treatment Block that captures interdependencies among multiple treatments, and a Potential …

Advancing U.S. Competitiveness In Agentic Gen Ai: A Strategic Framework For Interoperability And Governance, Satyadhar Joshi

Harrisburg University Other Works

Abstract : The rapid evolution of artificial intelligence has given rise to agentic AI systems—autonomous entities capable of perceiving their environment, making decisions, and executing actions with minimal human intervention. This work provides a systematic analysis of agentic AI frameworks, governance models, and implementation strategies. Drawing on a comprehensive review of the literature, we examine the current state of agentic AI technologies, highlight key challenges in governance, security, and ethical oversight, and compare architectural frameworks for responsible deployment. Our results, illustrated through detailed framework comparisons and governance analyses, demonstrate that while agentic AI holds transformative potential across multiple sectors, notable …

Historical Research And Conservation Treatment Of An Oversized 19th-Century Subscription Family Bible, Charlotte Starnes

Art Conservation Master's Projects

This paper briefly examines the construction, materials, and conservation challenges of 19th-century subscription Bibles, focusing on the treatment of an 1885 Thomas Kelly Latin Vulgate Family Bible. These large-format, heavily decorated volumes represent the unique intersection of industrialized book production and traditional hand-binding techniques. Through the visual comparison of multiple subscription Bible structures and canvasser’s sample books, historical research, and survey responses from conservators, this project identifies key structural features, including hybrid board attachment methods, varied sewing techniques, and the sculpted two-board coverboard structure. X-radiography, microscopy, and preliminary XRF analysis provide further insights into material choices, such as the use …

Maize Yield Stability Under Organic And Conventional Farming Systems In Sub-Humid Agro-Ecozones Of Central Kenya, Milka Kiboi, David Bautze, Felix Matheri, Amritbir Riar, Andreas Fliessbach

All Peer-Reviewed Publications

Maize (Zea mays L.) is the main staple crop and is important to the food security and livelihoods of people globally. We evaluated the effects of organic and conventional farming systems on maize grain yield and temporal yield stability under different external input levels in a long-term experiment (2007–2022) at two sites in Kenya. We implemented four farming systems: organic high (Org-High), conventional high (Conv-High), organic low (Org-Low), and conventional low (Conv-Low) in a randomized complete block design. Growth indicators for maize, height, stem diameter, and grain yield were higher in high input systems, but grain yield stability was not. …

Synthesis And Properties Study Of Layered Magnetic Topological Materials, Gokul Acharya

Graduate Theses and Dissertations

The discovery of topological materials (TMs) has opened up exciting opportunities for probing fundamental physics and enhancing innovative device integrations. These materials display various exotic properties, such as large magnetoresistance, high mobility, chiral anomaly, and surface Fermi arcs. The magnetic versions of ZrSiS family, LnSbTe and LnPS (Ln = lanthanide) have attracted intensive attention as these materials provide a new platform to study interplay between magnetism, topological states, and electron correlations. The vast pool of topological materials has provided exciting avenues to precisely engineer the topological states by modulating spin-orbital coupling, electronic dimensionality, and lattice constant through element substitutions. This …

"I Probably Wouldn't Be As Happy": Childhood Parental Separation And Posttraumatic Growth Narratives From Eight College Students, Meagan C. Arrastia-Chisholm, Hoa Nguyen, Africa Pippin, Heather M. Kelley Ph.D.

Journal of Higher Education & Student Affairs

Parental separation during childhood leads to long-lasting psychological and socioemotional impact on the lives of emerging adults as they transition into higher education. The long-term effects of childhood parental separation on college students' academic performance, physical health, and overall mental wellbeing are well-documented. However, students can develop resilience to cope with challenging family and life experiences and even demonstrate post-traumatic growth. Post-traumatic growth refers to the positive changes and experiences college students discover after enduring life disruptions, such as being separated from their parents at an early age. To better understand the connection between parental separation and posttraumatic growth, a …

The Evolution Of Women Behind The Wheel, Gabrielle Iorio

Proceedings of the New York State Communication Association

This paper places the current state of women in motorsports in conversation with scholarship focused on media and cultural identity by providing historical context for women in motorsports while analyzing media representations of Danica Patrick and current racers Hailie Deegan, Toni Breidinger, and Tatiana Calderon. While great progress has been made in acceptance of women as professional race car drivers and in media representations of them, stereotypes still face these drivers when it comes to obtaining sponsorships and the types of sponsorships they receive.

Linking Core Concepts And Competencies In General Chemistry Via Gowin’S Theory Of Learning And Vee Heuristic, Vijay Vyas, Scott A. Reid

Chemistry Faculty Research and Publications

The content in introductory science courses has often been criticized as “miles wide and inches deep”. In general chemistry, several revisions have focused on framing around a set of core or anchoring concepts, and we recently adapted the anchoring concepts content map (ACCM) of the American Chemical Society (ACS) to develop an anchoring concept-based curriculum for our general chemistry courses. In this article, we describe efforts to connect this curriculum with laboratory learning using Gowin’s theory of learning and the associated knowledge Vee heuristic. Within this framework, the laboratories themselves become events connecting the conceptual and methodological domains, …

Using Large Language Models To Investigate The Origin Of Chronic Wasting Disease, G. Kent Webb

Faculty Research, Scholarly, and Creative Activity

This use case reports on the impressive output, hallucinations, instability, and limitations of three Large Language Models (LLMs): ChatGPT, Gemini, and Grok. The LLMs were prompted in an investigative sequence and responses checked. The collected information supports the common theory that chronic wasting disease (CWD) in North America originated in 1967 at a research facility in Fort Collins, Colorado, where deer were reported to have been exposed to sheep with a similar disease - scrapie. Findings include that: no sheep with scrapie were detected in the area around Fort Collins prior to 1967; domestic sheep reportedly exposed to scrapie were …

Deep Learning For Land Use Classification: A Systematic Review Of Hs-Lidar Imagery, Muhammad Zia Ur Rehman, Syed Mohammed Shamsul Islam, David Blake, Anwaar Ulhaq, Naeem Janjua

Research outputs 2022 to 2026

Remote sensing (RS) technologies have significantly advanced Earth observation capabilities, enhancing the characterization and identification of surface materials through both spaceborne and airborne systems. These advancements are crucial for improving environmental monitoring and urban planning. As RS datasets have become more accessible, their increased complexity has necessitated a shift from traditional machine learning techniques to more robust deep learning approaches, particularly convolutional neural networks (CNNs) and transformer-based models known for their superior feature extraction capabilities. This systematic review focuses on the application of these deep learning techniques in land use classification, emphasizing the fusion of hyperspectral (HS) and LiDAR data. …

Synergetic Adsorptive Mechanisms, Reusability And Cost Evaluations Of Green Fabricated Hybrid Barium Cobalt Nanocomposites For Methylene Blue And Lead Removal From Wastewater, Titus Chinedu Egbosiuba, Chibuike Christogonus Njoku, Ijeoma Jacinta Ani, Godwin Ifeanyi Ogbuehi, Abdulkareem Omeiza Yusuf, Abiodun Azeez Saka, Ugochukwu Ewuzie, Ebuka Emmanuel Ezennajiego, Blessing Onyinye Okafor, Walter Chibuike Anene, Cecilia Chika Unegbu, Florence Acha, Monday Uchenna Okoronkwo

Chemical and Biochemical Engineering Faculty Research & Creative Works

Barium nanoparticles (BaNPs), cobalt nanoparticles (CoNPs), and hybrid barium-cobalt nanocomposites (BaCoNCs) were synthesized using an eco-friendly green technique with Anacardium occidentale leaf extract for sequestration of methylene blue (MB) dye and lead (Pb (II)) ions from industrial wastewater. The nanoparticles and nanocomposites were characterized using Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), high-resolution scanning electron microscopy (HRSEM), and Brunauer-Emmett-Teller (BET) analysis to assess their functional groups, crystalline structure, morphology, and surface properties, confirming successful synthesis. Batch adsorption studies showed that optimal pollutant removal occurred at pH values of 8 for MB and 5 for Pb(II), with a contact time …

Systematic Hazard Analysis Of Flare System Nodes In Chemical Process Safety, Hayder A. Alhameedi, Athmar A. Alzubaidi, Joseph D. Smith, Doug Allen, Saud Aldawood, Paul Ani

Chemical and Biochemical Engineering Faculty Research & Creative Works

Multidimensional consequences may arise from an accident in the flare system of any chemical or petrochemical plant due to the improperly managed flare system, which can lead to the presence of the toxic and flammable gases. The Hazard and Operability Study (HAZOP) is a systematic method used to assess and identify risks that can occur during operation, ensuring risk reduction and the safety of using equipment or units. This study aims to apply the HAZOP technique to identify the hazards associated with the gas flaring process in an air-assisted flare. The air-assisted flare system was subdivided into four sections (nodes), …

Miscanthus × Giganteus Increases Soil Maximum Water Holding Capacity Compared To Maize, Jessica T. Nelson, Maoz Dor, Andy D. Vanloocke, Jacob E. Studt, Perla K. Schrock, Marshall D. Mcdaniel

School of Earth, Environmental, & Marine Sciences Faculty Publications

Soil ecosystem services, like the ability to store water, have been depleted after a century of conventional, annual cropping, and perennial crops offer a solution to this and other agricultural environmental issues. We assessed the impact of Miscanthus × giganteus (miscanthus), a perennial biomass crop, on soil water holding capacity and structure compared to continuous maize (Zea mays L.) at two sites in Iowa. After three growing seasons, we measured the following: (1) maximum water holding capacity (MWHC) with and without soil structure, and (2) total porosity and pore size distribution (PSD) via micro-computed tomography (microCT). Miscanthus increased MWHC …