Digital Commons Network^™

Stat 458.01: Computer Data Analysis I, Jonathan M. Graham

University of Montana Course Syllabi, 2026-2030

No abstract provided.

Stat 216.00: Introduction To Statistics, Jakob B. Oetinger

University of Montana Course Syllabi, 2026-2030

No abstract provided.

M 105.51: Contemporary Mathematics With Co-Requisite Support - Online, Bergen J. Dolan

University of Montana Course Syllabi, 2026-2030

No abstract provided.

M 105.02: Contemporary Mathematics W/ Co-Requisite Support, Bergen J. Dolan, Ryan P. Wood

University of Montana Course Syllabi, 2026-2030

No abstract provided.

M 115.H51: Probability And Linear Mathematics With Co-Requisite Support / Hamilton, Jaime C. Middleton

University of Montana Course Syllabi, 2026-2030

No abstract provided.

Ahst 154.50: Surgical Pharmacology, Mary B. Mchugh

University of Montana Course Syllabi, 2026-2030

No abstract provided.

Re-Thinking The Composition Of The Business School Faculty, Michael A. Carrillo, Arthur Kraft, John Kraft

Business Faculty Articles and Research

Since the 1990s, the faculty of U.S. colleges and universities has shifted from a workforce dominated by full-time tenured and tenure-track positions to one in which contingent appointments predominate. According to the American Association of University Professors, contingent faculty grew from about 47 percent of the national workforce in 1987 to roughly two- thirds by 2021 (AAUP, 2023). Business schools faced the same pressures, including cost constraints, a shortage of doctorally qualified faculty, ranking competition, and revised accreditation standards, but they responded differently. Drawing on two decades of faculty data from 180 AACSB-accredited business schools and a subsample of 54 …

From Classroom To Field: Rural Teachers’ Integration Of Science And The Outdoors, Steph N. Dean, Julieanne A. Wenner

Publications

This study explored how rural educators in the US use outdoor environments to enhance science instruction, addressing the educational marginalization of rural students. Using rural cultural wealth as a theoretical framework, we investigated how rural teachers integrate local nature-based resources and students’ out-of-school experiences into science learning. We conducted interviews and observations with rural teachers, using reflexive thematic analysis as our qualitative approach. Three key themes emerged that highlight the ways our participants use the outdoor environment to teach science: (a) harness rural community partnerships, (b) engage students through relational teaching, and (c) design learning opportunities that honor students as …

Slow Education, Sit Spot, And Holistic Well-Being: A Narrative Case Study In Secondary Science Education, Steph Dean, Jim Lane, Paul Bocko, Albert Gilbert, Devan A. Jones

Publications

The demands of a test-dominant education system point towards the need for students to have opportunities for unhurried learning engagements, a movement known as slow education. The purpose of this study was to examine the long-term influence of Sit Spot–a recurrent, structured time to reflect outdoors–on students’ holistic well-being. Using a narrative case study approach, we interviewed a secondary field ecology teacher and seven of his former students to understand the impact of high school Sit Spot experiences during a semester-long science class. Three primary outcomes emerged: (1) enduring impact on the whole person, (2) engagement with affect, and (3) …

High Stakes Literacy Testing: Indiana’S Iread-3, Christy Wessel Powell, Karyn Tomkinson, Whitney Rippy

Science of Reading

Indiana is one of a few states to enact a high stakes literacy test in third grade, the IREAD-3 test. High stakes testing is often a useful way to ensure a particular level of academic proficiency is met to allow students to succeed in a new setting, like college, or leave high school with desired skills. However, the requirement to automatically retain third graders who do not pass the IREAD-3 test without additional information or considerations, is not supported by research (AERA, 2000). These data highlight the critical need for educators and administrators to understand high-stakes standardized tests, as they …

Air Mass Trajectories Related To Dust Storms On Mars And A Comparison Study With Spacecraft Images, Mohammad Abdulla Ahli

Theses

The Martian weather system, climate, and surface evolution are strongly influenced by dust storms, which interact with the atmospheric circulation and the planet’s surface features. In this study, selected Martian dust storms are examined using data provided by the Emirates Mars Mission (EMM) and the Mars Climate Database (MCD) to track the movement of air masses and improve understanding of how these storms develop and move across the Martian atmosphere.

The Emirates Mars Mission (EMM), together with the Mars Climate Database (MCD), provides the data needed to track the movement of air masses at different altitudes and times of the …

Predicting Water Quality Using Quantum Machine Learning: The Case Of The Umgeni Catchment (U20a) Study Region, Jamal Al-Karaki, Muhammad Al Zafar Khan, Amjad Gawanmeh, Marwan Omar

All Works

The assessment of water quality has become increasingly vital for maintaining the ecological balance and ensuring public safety across global water systems. This study examines the application of Quantum Machine Learning (QML) techniques in a real-world setting to predict water quality in the U20A region of the Umgeni Catchment, Durban, South Africa. We implemented the Quantum Support Vector Classifier (QSVC) and Quantum Neural Network (QNN) on a field-collected dataset. Our results demonstrate that the QSVC is more practical to implement and yields superior performance, achieving 75 % accuracy with polynomial and radial basis function kernels. In contrast, the QNN encountered …

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.

Final 2022 Unreclaimed Sites Sampling: Ur-22 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Supporting Data – Urban Stream, Cardinal Court, Isu, Normal, November 9, 2023 To May 1, 2025, Eric Wade Peterson, Ava Miller

Faculty Publications - Geography, Geology, and the Environment

Between November 9, 2023 to May 1, 2025, water samples were collected upstream and downstream along a segment of a stream adjacent to Cardinal Court on the Illinois State University campus. At each location, samples were collected at the surface. In-situ measurements of Dissolved Oxygen, Specific Conductance, and Temperature were recorded with a YSI 85. Anion samples were analyzed using a Ion Chromatograph for fluoride (F^-), chloride (Cl^-), nitrate as nitrogen (NO3-N), phosphate (PO₄^3-), and sulfate (SO₄^2-). The available dataset provides the recorded field parameters and the analyzed ion concentrations.

Utilization Of Plastic Waste In The Concrete Industry, Nancy Abdelmoneim Sakr

Theses and Dissertations

Plastic recycling has emerged as a crucial strategy that aligns with environmental, social and economic sustainability indicators. Currently, substantial volumes of plastic waste are either deposited in landfills or incinerated, neglecting the potential to harness its embodied energy and the energy consumed for producing virgin materials. A key advantage of plastic lies in its promising mechanical properties. Concrete mix design is fundamental to a wide range of construction applications, including brick walls, reinforced concrete slabs and concrete pavements. Despite the adoption of recycled plastic in construction materials in various countries, its widespread implementation remains limited. This is primarily due to …

Derivation Of An Updated Brief Multivariable Prediction Model To Detect Panic-Related Anxiety In Emergency Department Patients With Cardiopulmonary Complaints, Sharon C. Sung, Felicia J. L. Ang, Arul Earnest, Leslie E. C. Lim, Shreshtha Jolly, Gilaine Rui Ng, A. John Rush, Marcus E. H. Ong

Research Collection School of Social Sciences

Background Patients with panic related-anxiety (i.e., panic attacks or panic disorder) frequently present to emergency departments (EDs) with cardiopulmonary complaints but are often undiagnosed, which can lead to recurrent visits and prolonged distress. This study aimed to derive a new symptom-based multivariable diagnostic prediction model to detect panic-related anxiety in ED patients with cardiopulmonary symptoms.Methods We conducted a single-blind prospective derivation study over 15 months in the ED of a major tertiary hospital in Singapore. Patients presenting with symptoms of palpitations, chest pain, dizziness, or difficulty breathing were assessed using the Structured Clinical Interview for DSM Disorders (SCID) to diagnose …

Less Is More: Docstring Compression In Code Generation, Guang Yang, Yu Zhou, Wei Cheng, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, Xin Zhou, Ke Liu, David Lo, Taolue Chen

Research Collection School Of Computing and Information Systems

The widespread use of Large Language Models (LLMs) in software engineering has intensified the need for improved model and resource efficiency. In particular, for neural code generation, LLMs are used to translate function/method signature and DocString to executable code. DocStrings, which capture user requirements for the code and are typically used as the prompt for LLMs, often contain redundant information. Recent advancements in prompt compression have shown promising results in Natural Language Processing (NLP), but their applicability to code generation remains uncertain. Our empirical study shows that the state-ofthe-art prompt compression methods achieve only about 10% reduction, as further reductions …

Defending Code Language Models Against Backdoor Attacks With Deceptive Cross-Entropy Loss, Guang Yang, Yu Zhou, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, David Lo, Taolue Chen

Research Collection School Of Computing and Information Systems

Code Language Models (CLMs), particularly those leveraging deep learning, have achieved significant success in code intelligence domain. However, the issue of security, particularly backdoor attacks, is often overlooked in this process. The previous research has focused on designing backdoor attacks for CLMs, but effective defenses have not been adequately addressed. In particular, existing defense methods from natural language processing, when directly applied to CLMs, are not effective enough and lack generality, working well in some models and scenarios but failing in others, thus fall short in consistently mitigating backdoor attacks. To bridge this gap, we first confirm the phenomenon of …

Fcghunter: Towards Evaluating Robustness Of Graph-Based Android Malware Detection, Shiwen Song, Xiaofei Xie, Ruitao Feng, Qi Guo, Sen Chen

Research Collection School Of Computing and Information Systems

Graph-based detection methods leveraging Function Call Graph (FCG) have shown promise for Android malware detection (AMD) due to their semantic insights. However, the deployment of malware detectors in dynamic and hostile environments raises significant concerns about their robustness. While recent approaches evaluate the robustness of FCG-based detectors using adversarial attacks, their effectiveness is constrained by the vast perturbation space, particularly across diverse models and features. To address these challenges, we introduce FCGHunter, a novel robustness testing framework for FCG-based AMD systems. Specifically, FCGHunter employs innovative techniques to enhance exploration and exploitation within this huge search space. Initially, it identifies critical …

Lagrangian Motion Fields For Long-Term Motion Generation, Yifei Yang, Zikai Huang, Chenshu Xu, Shengfeng He

Research Collection School Of Computing and Information Systems

Long-term motion generation is a challenging task that requires producing coherent and realistic sequences over extended durations. Current methods primarily rely on framewise motion representations, which capture only static spatial details and overlook temporal dynamics. This approach leads to significant redundancy across the temporal dimension, complicating the generation of effective long-term motion. To overcome these limitations, we introduce the novel concept of Lagrangian Motion Fields, specifically designed for long-term motion generation. By treating each joint as a Lagrangian particle with uniform velocity over short intervals, our approach condenses motion representations into a series of "supermotions" (analogous to superpixels). This method …

G-Trac: Graph-Textual Representations Alignment For Cold-Start Recommendations, Li Yang Chang, Yuan Fang, Ming Feng Tsai, Chuan Ju Wang

Research Collection School Of Computing and Information Systems

The cold-start problem remains a significant challenge in recommendation systems, particularly for new users or unseen items with little to no historical data. Existing methods, including graph neural networks, often struggle in such scenarios. Inspired by the success of transformer models in natural language processing, we propose G-TRAC (Graph-Textual Representations Alignment for Cold-start Recommendations), a novel approach that integrates transformer-based textual modeling with graph neural networks. By effectively leveraging both textual and structural information, G-TRAC addresses cold-start challenges more effectively. Extensive experiments demonstrate its ability to enhance recommendation quality and generalize well across diverse scenarios.

Fortifying The Seams Between C/C++ And Rust: Characterizing Bugs In Interop Tools, Xuemeng Cai, Jiakun Liu, Cunyang Liu, Lingfeng Bao, Yijun Yu, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Rust has become increasingly popular in recent years due to its safety and high performance. Despite these advantages, Rust projects rarely start from scratch in practice, and many Rust-based systems instead use hybrid programming, where Rust interoperates with existing C/C++ code. To reduce the manual effort involved in this interoperation (interop) process, several interop tools have been proposed to facilitate hybrid programming between Rust and C/C++. However, the challenges and limitations of these tools remain largely unexplored, leaving developers unclear about the future directions and users unclear about the appropriate usage scenarios. To fill the gap, we mined 320 bugs …

Light Cone Cancellation For Variational Quantum Eigensolver In Solving Noisy Max-Cut, Xinwei Lee, Xinjian Yan, Ningyi Xie, Yoshiyuki Saito, Leo Kurosawa, Nobuyoshi Asai, Dongsheng Cai, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Variational Quantum Eigensolver (VQE) is a quantum-classical hybrid algorithm used to estimate the ground energy of a given Hamiltonian. It consists of a parameterized quantum circuit, which the parameters are optimized using a classical optimizer. With the increasing need in solving large-scale problems in real-world applications, solving those large problems with fewer qubits and fewer gates becomes essential, so that we reduce the simulation difficulty and mitigate the effect of noise in real quantum hardware. In this study, we applied the Light Cone Cancellation (LCC) method to reduce the number of qubits and gates required in a two-local ansatz. LCC …

Evaluating Groundwater-Surface Water Interactions At Selected Streams In The Mississippi River Valley Alluvial Aquifer, Usa, And Comparison To Regional Potentiometric Surfaces, Joshua Michael Blackstock, Oladipo S. Obembe, Aaron Shew, Phillip Hays, Phillip R. Owens, Christopher D. Delhom

Geosciences Faculty Publications and Presentations

Field measurements of groundwater-surface water interactions (GWSW) are critical for quantifying stream leakage, but are often limited in availability. In the Mississippi River Valley alluvial aquifer (MRVAA), USA, GWSW interactions are often inferred through interpolated potentiometric surfaces, which can provide information on GWSW changes through time, but are often limited in spatial resolution. Field measurements of GWSW interactions were conducted at several locations and compared with potentiometric surfaces using objectively calculated cell sizes. The potentiometric surfaces showed similar regional-scale groundwater-flow patterns irrespective of grid cell size. Field measurements of GWSW interactions exhibited a broader range of gaining and losing conditions …

Sit, Stay, And Teach: Exploring Teachers' Perceptions Of Facility Dogs' Impact On Stress And Retention, Dennis Powers

Graduate Student Dissertations, Theses, Capstones, and Portfolios

The teaching profession remains at a high level of workplace stress, a factor contributing to teacher burnout and turnover. The study examines how teachers in K-12 public education perceived that facility dogs might reduce stress, increase job satisfaction, and aid in teacher retention in public schools of a southeastern state. The study employed a qualitative, cross-sectional survey that was emailed to 112,546 educators from a LISTSERV request. A total of 1,242 individuals provided informed consent and completed the survey, which consisted of Likert-scale measurement items, open-ended questions, and an informational video inserted to achieve a common understanding of the facility …

Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 30 – Atlantic-1 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Cyber Science Education Meets Healthcare Technology, Angela Spencer

Journal of Cybersecurity Education, Research and Practice

The research investigates how cyber science education combines with healthcare technology during the digital age to resolve a fundamental research gap in these two advancing areas. A combined approach utilizing extensive surveys and detailed interviews evaluates the functionality of learning platforms as well as cybersecurity measures and potential uses of emerging virtual reality (VR) and augmented reality (AR) tools to improve both educational and clinical environments. The research document describes its methodologies thoroughly while. The research documents multiple quantitative and qualitative results before performing its analysis, which leads to strategy development for digit. The researchers worked to find ways that …

Integration Of One Health Activities Into Professional Student Education: Successes, Challenges, And Considerations, Karen Gruszynski, Mary Beth Babos, Reagan Bishop, Debra Sullivan, Laroy Brandt

All Faculty and Staff Scholarship

Interprofessional Education (IPE) creates opportunities for multiple disciplines to learn from each other and develop soft skills to improve patient care. One Health similarly emphasizes collaborative and interdisciplinary practice while recognizing the interconnectedness between human, animal, and environmental health. Despite the intersection of IPE and One Health, the meaningful integration of One Health within IPE remains uneven and difficult to operationalize. This perspective synthesizes experiences from multi-college programs implementing One Health-oriented IPE, highlighting successes, challenges, and structural requirements. We argue that for One Health to be successfully integrated into IPE for professional students, it requires extensive logistical planning, coordinated institutional …

Secondary School Students' Engagement In Learning Activities: Validation Of A Short Scale, Feliciano Henriques Veiga, Zi Yang Wong, Johnmarshall Reeve, Shane Jimerson, Antonio Leite, Joan Perales, Sonia Valente, Isabel Martinez

Research Collection School of Social Sciences

Student engagement is a multidimensional construct strongly associated with learning outcomes and academic success. However, its measurement remains challenging, as existing instruments often conflate engagement in learning activities with engagement in the school community. In addition, brief measures are scarce despite their increasing value, and most available instruments do not incorporate agentic engagement. Assessing student engagement in learning activities is, therefore, crucial for monitoring academic progress, identifying students at risk of dropping out, and predicting academic success. This study aimed to validate the 12-item Secondary School Student Engagement in Learning Activities: Short Scale, adapted from a higher education measure, which …