Digital Commons Network^™

Exploring Player-Coach Relationships Through Competitive And Healthy Environments In Collegiate Sports, Westin Michaud

Theses and Dissertations

This study was designed to suggest ways to help create healthier player-coach relationships in collegiate sports by collecting data from student-athletes in the NCAA transfer portal. The student-athletes who were selected to participate have successfully transferred through the 2021-2022 Men's ice hockey transfer portal, which allows players to move to a new school and hockey program once in their NCAA careers. The study seeks to highlight the reasons student-athletes enter and eventually decide to transfer. Through the fundamental procedural leadership approach in Artifact Three, the findings will point to a healthier player-coaching relationship in collegiate environments by seeking to understand …

A Uav Payload And A Smart Graphical User Interface For Real-Time Detection Of Defects In Steel Structures, Rajrup Mitra

Theses and Dissertations

As integral parts of different infrastructure constructions, steel structures must be monitored regularly for their durability, serviceability, and safety. However, environmental exposure of steel structures leads to defects over time that may compromise the structural integrity and lead to colossal repair costs if not detected early. Traditional manual inspection methods have limitations like accuracy constraints, inefficiency, and non-scalability. Hence, there is a need for cutting-edge technology-based solutions to streamline inspection processes. Thus, this thesis proposes a pioneering exploration into the development and integration of an Unmanned Aerial Vehicle (UAV) system and an intelligent Graphical User Interface (GUI) for real-time defect …

A Statistical Model For The Surface Tension Of Microdroplet Surfactants And Multicomponent Mixtures, Douglas Mohr

Theses and Dissertations

The effects atmospheric aerosols have on climate are not fully understood due to the limited knowledge of the interaction between aerosols and clouds. This interaction, known as the indirect effect of aerosols, is an area of interest within the field of atmospheric science. The presence of surfactants in the atmosphere due to natural and anthropogenic sources is known to negatively affect cloud formation, and is a contributor to the indirect effect. Quantifying how surfactants affect atmospheric aerosols will improve the understanding of the indirect effect. This work explores a statistically mechanically derived surface tension model for surfactant aqueous solutions, which …

Mixing Customer Ingratiation Into Evaluation: How Service Providers Judge And Evaluate Rideshare Experiences, Yazhen Xiao, Jonathan Hasford

Business Faculty Publications and Presentations

Whereas consumer satisfaction is critical for the success of services, we research how providers evaluate customers in the sharing economy represented by the rideshare marketplace. We examine anticipated customer evaluation (ACE) as the underlying link and the provider's sense of power as a moderator for the relationship between customer ingratiation and provider evaluations. We first conducted a field pilot study and analyzed the content of rideshare trips described by drivers. Then, we tested the conceptual framework in four experiments that manipulated different rideshare customer behaviors (self-presentation, other-enhancement, and customer conformity). Our study contributes to the consumer research literature by examining …

University Sound, Maxwell Teodor Barton

Graduate Student Portfolios, Professional Papers, and Capstone Projects

This civic engagement project (CEP) is varied in its explorations. Philosophically, this paper uses Waltonian aesthetics to critique the concept of "soundscape.". Practically, this paper examines and details my methods for bringing awareness about soundscapes (as both worthy of aesthetic and ethical consideration) to the community of Missoula, Montana. Utilizing a scaffold of Anglo-American analytic aesthetics, philosophy of animals, and environmental aesthetics, I show (1) that the University of Montana soundscape has been neglected in many serious ways (2) why it should be considered as an aesthetic object worthy of aesthetic engagement and (3) how to engage with it in …

Griz Give-And-Get: Understanding The Context, Philosophy, And Logistics Behind A Project To Reduce Waste At The University Of Montana, Sam Sullivan

Graduate Student Portfolios, Professional Papers, and Capstone Projects

Griz Give-and-Get is an online platform at the University of Montana that aims to reduce consumer waste. It attempts to do this by providing students and staff with a place to give away their used items. The first objective of this essay is to describe the process behind Griz Give-and-Get’s early development. The second objective is to relate concepts from environmental philosophy to Griz Give-and-Get’s mission. Although part of Griz Give-and-Get’s mission is to build community and to mitigate the effects of student poverty, this essay will narrow its focus to explore the first issue that Griz Give-and-Get concerns itself …

(De)Composition: Earthen Storytelling For Collective Liberation, Priya Subberwal

Graduate Student Portfolios, Professional Papers, and Capstone Projects

This interdisciplinary portfolio is an investigation into ecological communication through pedagogical design, online collaborative learning spaces, digital and print media, and creative writing. Braiding lenses of queer ecology, decolonial studies, anarchism, and collaborative and creative practice, this work hopes to explore the field of environmental communication through avenues that are reciprocal, community-driven, and oriented towards environmental justice and collective, intersectional liberation. Through the three distinct components of 1) the creation and facilitation of an online learning community, the Spiritual Ecology Study Club at Advaya, 2) the editing and production of two issues of Camas Magazine, an environmental literary magazine based …

The Influence Of Methyl Orange On The Co2-Brine Wettability Of Organic-Acid-Aged Calcite Samples: Implications For Co2 Geo-Storage, Fatemah Alhammad, Mujahid Ali, Nurudeen Yekeen, Muhammad Ali, Mohammadreza Kamali, Stefan Iglauer, Alireza Keshavarz

Research outputs 2022 to 2026

The underground storage of CO2 in a depleted carbonate formation is a suitable method for limiting its anthropogenic release and minimize global warming. The rock wettability is an essential factor controlling the mechanisms of CO2 trapping and its containment safety in the geo-storage formation. The geo-storage rock contains innate organic acids which alters the wettability of the rock surface from the hydrophilic condition to the hydrophobic state, thus reduce the CO2 storage capacity. In this study, methyl orange which is a toxic dye that is generally released into environment was used as wettability modifier to change the wettability of stearic …

Policy-Based Remote User Authentication From Multi-Biometrics, Yangguang Tian, Yingjiu Li, Robert H. Deng, Guomin Yang, Nan Li

Research Collection School Of Computing and Information Systems

In this paper, we introduce the first generic framework of policy-based remote user authentication from multiple biometrics. The proposed framework allows an authorized user to remotely authenticate herself to an authentication server using her multiple biometrics, which enhances both the security and usability of user authentications. The authentication server approves a user's authentication request if and only if the user's multiple biometrics satisfies an authentication policy. In particular, the authentication policy can be dynamically updated to satisfy different security and usability requirements in practice. We implement an instantiation of the proposed framework and report its performance under various authentication policies.

Quantum Machine Learning For Credit Scoring, Nikolaos Schetakis, Davit Aghamalyan, Micheael Boguslavsky, Agnieszka Rees, Marc Rakotomalala, Paul Robert Griffin

Research Collection School Of Computing and Information Systems

This study investigates the integration of quantum circuits with classical neural networks for enhancing credit scoring for small- and medium-sized enterprises (SMEs). We introduce a hybrid quantum–classical model, focusing on the synergy between quantum and classical rather than comparing the performance of separate quantum and classical models. Our model incorporates a quantum layer into a traditional neural network, achieving notable reductions in training time. We apply this innovative framework to a binary classification task with a proprietary real-world classical credit default dataset for SMEs in Singapore. The results indicate that our hybrid model achieves efficient training, requiring significantly fewer epochs …

Employing Digital Pcr For Enhanced Detection Of Perinatal Toxoplasma Gondii Infection: A Cross-Sectional Surveillance And Maternalinfant Outcomes Study In El Salvador, Mary K. Lynn, Marvin Stanley Rodriguez Aquino, Pamela Michelle Cornejo Rivas, Xiomara Miranda, David F. Torres-Romero, Hanson Cowan, Madeleine M. Meyer, Willber D. Castro-Godoy, Mufaro Kanyangarara Ph.D., Stella C.W. Self Ph.D., Ms, Berry A. Campbell, Melissa S. Nolan Ph.D., Mph

Faculty Publications

Toxoplasma gondii is a parasitic infection that can be transmitted in utero, resulting in fetal chorioretinitis and other long-term neurological outcomes. If diagnosed early, pregnancysafe chemotherapeutics can prevent vertical transmission. Unfortunately, diagnosis of acute, primary infection among pregnant women remains neglected, particularly in low-andmiddle-income countries. Clinically actionable diagnosis is complex due to the commonality of infection during childhood and early adulthood which spawn long-last antibody titers and historically unreliable direct molecular diagnostics. The current study employed a cross-sectional T. gondii perinatal surveillance study using digital PCR, a next generation molecular diagnostic platform, and a maternal-fetal outcomes survey to ascertain the …

Weighted Ehrhart Theory: Extending Stanley's Nonnegativity Theorem, Esme Bajo, Robert Davis, Jesús A. De Loera, Alexey Garber, Sofía Garzón Mora, Katharina Jochemko, Josephine Yu

School of Mathematical & Statistical Sciences Faculty Publications

We generalize R. P. Stanley's celebrated theorem that the h∗-polynomial of the Ehrhart series of a rational polytope has nonnegative coefficients and is monotone under containment of polytopes. We show that these results continue to hold for weighted Ehrhart series where lattice points are counted with polynomial weights, as long as the weights are homogeneous polynomials decomposable as sums of products of linear forms that are nonnegative on the polytope. We also show nonnegativity of the h∗-polynomial as a real-valued function for a larger family of weights.

We generalize R. P. Stanley's celebrated theorem that the h ⁎ -polynomial of …

Gut Microbiome Correlates Of Recurrent Urinary Tract Infection: A Longitudinal, Multi-Center Study, Joohee Choi, Robert Thänert, Kimberly A Reske, Katelin B Nickel, Margaret A Olsen, Tiffany Hink, Anna Thänert, Meghan A Wallace, Bin Wang, Candice Cass, Margaret H Barlet, Emily L Struttmann, Zainab Hassan Iqbal, Steven R Sax, Victoria J Fraser, Carey-Ann D Burnham, Erik R Dubberke, Gautam Dantas, Jennie H Kwon, Et Al.

2020-Current year OA Pubs

BACKGROUND: Urinary tract infections (UTI) affect approximately 250 million people annually worldwide. Patients often experience a cycle of antimicrobial treatment and recurrent UTI (rUTI) that is thought to be facilitated by a gut reservoir of uropathogenic

METHODS: 125 patients with UTI caused by an antibiotic-resistant organism (ARO) were enrolled from July 2016 to May 2019 in a longitudinal, multi-center cohort study. Multivariate statistical models were used to assess the relationship between uropathogen colonization and recurrent UTI (rUTI), controlling for clinical characteristics. 644 stool samples and 895 UPEC isolates were interrogated for taxonomic composition, antimicrobial resistance genes, and phenotypic resistance. Cohort …

Psychological Mediation Of Minority Stress And Health: Exploration Of Risk Factors In Lgbq College Students, Kyndal Grammer

Electronic Theses and Dissertations

Decades of research have documented pervasive physical and mental health disparities among individuals holding a marginalized identity, including those who identify as lesbian, gay, bisexual, or queer (LGBQ). Heterosexism in the forms of harassment, rejection, and discrimination likely increases minority stress, which is theorized to contribute to documented health disparities. One group that may be particularly vulnerable to effects of heterosexist discrimination, harassment, and rejection is LGBQ college students, especially those who identify as first-generation and were raised in rural environments. The current study aimed to evaluate relationships between LGBQ discrimination, depression, and physical health outcomes at the bivariate level, …

The Implications, Magnitude, And Development Of Traumatic Brain Injury For Individuals Undergoing Treatment For Opioid Use Disorder, Hannah G. Mitchell

Electronic Theses and Dissertations

There is an established bidirectional relation between substance use and traumatic brain injuries (TBIs). Despite the high rate of prescribing opioids for pain management following a TBI and the epidemic of opioid use disorder (OUD) in the United States, scarce research has specifically analyzed the association between TBI and OUD. In a series of three interrelated manuscripts, the present study will first examine the prevalence and features of TBIs among persons seeking treatment for OUD. Next, the present study will evaluate the association between TBI and indicators of risky health behaviors and OUD severity, including the risk of overdose and …

Efficacy And Safety Of Endoscopic Submucosal Dissection For Colorectal Dysplasia In Patients With Inflammatory Bowel Disease: A Systematic Review And Meta-Analysis, Asad Ur Rahman, Mohamed O Othman, Peter V Draganov, Gursimran S Kochhar

Faculty, Staff and Students Publications

BACKGROUND/AIMS: In this meta-analysis, we studied the safety and efficacy of endoscopic submucosal dissection (ESD) for colorectal dysplasia in patients with inflammatory bowel disease (IBD).

METHODS: Multiple databases were searched, and studies were retrieved based on pre-specified criteria until October 2022. The outcomes assessed were resection rates, procedural complications, local recurrence, metachronous tumors, and the need for surgery after ESD in IBD. Standard meta-analysis methods were followed using the random-effects model, and I2% was used to assess heterogeneity.

RESULTS: Twelve studies comprising 291 dysplastic lesions in 274 patients were included with a median follow-up of 25 months. The pooled en-bloc …

Clinical Outcomes After Acute Coronary Syndromes Or Revascularization Among People Living With Hiv: A Systematic Review And Meta-Analysis, Nouran Ibrahim, Gerald S Bloomfield, Christopher T Longenecker, Maria C Rodriguez-Barradas, Chester N Ashong, Eric Jutkowitz, Tracey H Taveira, Michelle Richard, Jennifer L Sullivan, James L Rudolph, Wen-Chih Wu, Sebhat Erqou

Faculty, Staff and Students Publications

IMPORTANCE: Clinical outcomes after acute coronary syndromes (ACS) or percutaneous coronary interventions (PCIs) in people living with HIV have not been characterized in sufficient detail, and extant data have not been synthesized adequately.

OBJECTIVE: To better characterize clinical outcomes and postdischarge treatment of patients living with HIV after ACS or PCIs compared with patients in an HIV-negative control group.

DATA SOURCES: Ovid MEDLINE, Embase, and Web of Science were searched for all available longitudinal studies of patients living with HIV after ACS or PCIs from inception until August 2023.

STUDY SELECTION: Included studies met the following criteria: patients living with …

A Biophysically Constrained Brain Connectivity Model Based On Stimulation-Evoked Potentials, Joshua Adkinson, Layth Mattar, Garrett P Banks, Sameer A Sheth, Andrew J Watrous, Sarah R Heilbronner, Kelly R Bijanki, Alessandro Alabastri, Eleonora Bartoli

Faculty, Staff and Students Publications

BACKGROUND: Single-pulse electrical stimulation (SPES) is an established technique used to map functional effective connectivity networks in treatment-refractory epilepsy patients undergoing intracranial-electroencephalography monitoring. While the connectivity path between stimulation and recording sites has been explored through the integration of structural connectivity, there are substantial gaps, such that new modeling approaches may advance our understanding of connectivity derived from SPES studies.

NEW METHOD: Using intracranial electrophysiology data recorded from a single patient undergoing stereo-electroencephalography (sEEG) evaluation, we employ an automated detection method to identify early response components, C1, from pulse-evoked potentials (PEPs) induced by SPES. C1 components were utilized for a …

Guardians Of Precision: Advancing Radiation Protection, Safety, And Quality Systems In Nuclear Medicine, Francesco Giammarile, Peter Knoll, Jolanta Kunikowska, Diana Paez, Enrique Estrada Lobato, Miriam Mikhail-Lette, Richard Wahl, Ola Holmberg, May Abdel-Wahab, Andrew M Scott, Roberto C Delgado Bolton

2020-Current year OA Pubs

BACKGROUND: In the rapidly evolving field of nuclear medicine, the paramount importance of radiation protection, safety, and quality systems cannot be overstated. This document provides a comprehensive analysis of the intricate regulatory frameworks and guidelines, meticulously crafted and updated by national and international regulatory bodies to ensure the utmost safety and efficiency in the practice of nuclear medicine.

METHODS: We explore the dynamic nature of these regulations, emphasizing their adaptability in accommodating technological advancements and the integration of nuclear medicine with other medical and scientific disciplines.

RESULTS: Audits, both internal and external, are spotlighted for their pivotal role in assessing …

A Phenome-Wide Association And Mendelian Randomisation Study Of Alcohol Use Variants In A Diverse Cohort Comprising Over 3 Million Individuals, Renata B Cupertino, Laura Vilar-Ribó, Sevim B Bianchi, Alexander S Hatoum, Elizabeth G Atkinson, Paola Giusti-Rodriguez, Janitza L Montalvo-Ortiz, Joel Gelernter, María Soler Artigas, Sarah L Elson, Howard J Edenberg, Pierre Fontanillas, Abraham A Palmer, Sandra Sanchez-Roige

Faculty, Staff and Students Publications

BACKGROUND: Alcohol consumption is associated with numerous negative social and health outcomes. These associations may be direct consequences of drinking, or they may reflect common genetic factors that influence both alcohol consumption and other outcomes.

METHODS: We performed exploratory phenome-wide association studies (PheWAS) of three of the best studied protective single nucleotide polymorphisms (SNPs) in genes encoding ethanol metabolising enzymes (ADH1B: rs1229984-T, rs2066702-A; ADH1C: rs698-T) using up to 1109 health outcomes across 28 phenotypic categories (e.g., substance-use, mental health, sleep, immune, cardiovascular, metabolic) from a diverse 23andMe cohort, including European (N ≤ 2,619,939), Latin American (N ≤ 446,646) and African …

Diffusion-Based Negative Sampling On Graphs For Link Prediction, Yuan Fang, Yuan Fang

Research Collection School Of Computing and Information Systems

Link prediction is a fundamental task for graph analysis with important applications on the Web, such as social network analysis and recommendation systems, etc. Modern graph link prediction methods often employ a contrastive approach to learn robust node representations, where negative sampling is pivotal. Typical negative sampling methods aim to retrieve hard examples based on either predefined heuristics or automatic adversarial approaches, which might be inflexible or difficult to control. Furthermore, in the context of link prediction, most previous methods sample negative nodes from existing substructures of the graph, missing out on potentially more optimal samples in the latent space. …

An Adaptive Large Neighborhood Search For The Multi-Vehicle Profitable Tour Problem With Flexible Compartments And Mandatory Customers, Vincent F. Yu, Nabila Yuraisyah Salsabila, Aldy Gunawan, Anggun Nurfitriani Handoko

Research Collection School Of Computing and Information Systems

The home-refill delivery system is a business model that addresses the concerns of plastic waste and its impact on the environment. It allows customers to pick up their household goods at their doorsteps and refill them into their own containers. However, the difficulty in accessing customers’ locations and product consolidations are undeniable challenges. To overcome these issues, we introduce a new variant of the Profitable Tour Problem, named the multi-vehicle profitable tour problem with flexible compartments and mandatory customers (MVPTPFC-MC). The objective is to maximize the difference between the total collected profit and the traveling cost. We model the proposed …

An Evaluation Of Heart Rate Monitoring With In-Ear Microphones Under Motion, Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Yang Liu, Cecilia Mascolo

Research Collection School Of Computing and Information Systems

With the soaring adoption of in-ear wearables, the research community has started investigating suitable in-ear heart rate detection systems. Heart rate is a key physiological marker of cardiovascular health and physical fitness. Continuous and reliable heart rate monitoring with wearable devices has therefore gained increasing attention in recent years. Existing heart rate detection systems in wearables mainly rely on photoplethysmography (PPG) sensors, however, these are notorious for poor performance in the presence of human motion. In this work, leveraging the occlusion effect that enhances low-frequency bone-conducted sounds in the ear canal, we investigate for the first time in-ear audio-based motion-resilient …

Cmd: Co-Analyzed Iot Malware Detection And Forensics Via Network And Hardware Domains, Ziming Zhao, Zhaoxuan Li, Jiongchi Yu, Fan Zhang, Xiaofei Xie, Haitao Xu, Binbin Chen

Research Collection School Of Computing and Information Systems

With the widespread use of Internet of Things (IoT) devices, malware detection has become a hot spot for both academic and industrial communities. Existing approaches can be roughly categorized into network-side and host-side. However, existing network-side methods are difficult to capture contextual semantics from cross-source traffic, and previous host-side methods could be adversary-perceived and expose risks for tampering. More importantly, a single perspective cannot comprehensively track the multi-stage lifecycle of IoT malware. In this paper, we present CMD, a co-analyzed IoT malware detection and forensics system by combining hardware and network domains. For the network part, CMD proposes a tailored …

Enhancing Visual Grounding In Vision-Language Pre-Training With Position-Guided Text Prompts, Alex Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan

Research Collection School Of Computing and Information Systems

Vision-Language Pre-Training (VLP) has demonstrated remarkable potential in aligning image and text pairs, paving the way for a wide range of cross-modal learning tasks. Nevertheless, we have observed that VLP models often fall short in terms of visual grounding and localization capabilities, which are crucial for many downstream tasks, such as visual reasoning. In response, we introduce a novel Position-guided Text Prompt ( PTP ) paradigm to bolster the visual grounding abilities of cross-modal models trained with VLP. In the VLP phase, PTP divides an image into N x N blocks and employs a widely-used object detector to identify objects …

Breathpro: Monitoring Breathing Mode During Running With Earables, Changshuo Hu, Thivya Kandappu, Yang Liu, Cecilia Mascolo, Dong Ma

Research Collection School Of Computing and Information Systems

Running is a popular and accessible form of aerobic exercise, significantly benefiting our health and wellness. By monitoring a range of running parameters with wearable devices, runners can gain a deep understanding of their running behavior, facilitating performance improvement in future runs. Among these parameters, breathing, which fuels our bodies with oxygen and expels carbon dioxide, is crucial to improving the efficiency of running. While previous studies have made substantial progress in measuring breathing rate, exploration of additional breathing monitoring during running is still lacking. In this work, we fill this gap by presenting BreathPro, the first breathing mode monitoring …

The Impact Of Avatar Completeness On Embodiment And The Detectability Of Hand Redirection In Virtual Reality, Martin Feick, Andre Zenner, Simon Seibert, Anthony Tang, Antonio Krüger

Research Collection School Of Computing and Information Systems

To enhance interactions in VR, many techniques introduce offsets between the virtual and real-world position of users’ hands. Nevertheless, such hand redirection (HR) techniques are only effective as long as they go unnoticed by users—not disrupting the VR experience. While several studies consider how much unnoticeable redirection can be applied, these focus on mid-air floating hands that are disconnected from users’ bodies. Increasingly, VR avatars are embodied as being directly connected with the user’s body, which provide more visual cue anchoring, and may therefore reduce the unnoticeable redirection threshold. In this work, we studied more complete avatars and their effect …

Swapvid: Integrating Video Viewing And Document Exploration With Direct Manipulation, Taichi Murakami, Kazuyuki Fujita, Kotaro Hara, Kazuki Takashima, Yoshifumi Kitamura

Research Collection School Of Computing and Information Systems

Videos accompanied by documents—document-based videos—enable presenters to share contents beyond videos and audience to use them for detailed content comprehension. However, concurrently exploring multiple channels of information could be taxing. We propose SwapVid, a novel interface for viewing and exploring document-based videos. SwapVid seamlessly integrates a video and a document into a single view and lets the content behaves as both video and a document; it adaptively switches a document-based video to act as a video or a document upon direct manipulation (e.g., scrolling the document, manipulating the video timeline). We conducted a user study with twenty participants, comparing SwapVid …

Vaid: Indexing View Designs In Visual Analytics System, Lu Ying, Aoyu Wu, Haotian Li, Zikun Deng, Ji Lan, Jiang Wu, Yong Wang, Huamin Qu, Dazhen Deng, Yingcai Wu

Research Collection School Of Computing and Information Systems

Visual analytics (VA) systems have been widely used in various application domains. However, VA systems are complex in design, which imposes a serious problem: although the academic community constantly designs and implements new designs, the designs are difficult to query, understand, and refer to by subsequent designers. To mark a major step forward in tackling this problem, we index VA designs in an expressive and accessible way, transforming the designs into a structured format. We first conducted a workshop study with VA designers to learn user requirements for understanding and retrieving professional designs in VA systems. Thereafter, we came up …

Compositional Policy Learning In Stochastic Control Systems With Formal Guarantees, Dorde Zikelic, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee, Thomas A. Henzinger

Research Collection School Of Computing and Information Systems

Reinforcement learning has shown promising results in learning neural network policies for complicated control tasks. However, the lack of formal guarantees about the behavior of such policies remains an impediment to their deployment. We propose a novel method for learning a composition of neural network policies in stochastic environments, along with a formal certificate which guarantees that a specification over the policy's behavior is satisfied with the desired probability. Unlike prior work on verifiable RL, our approach leverages the compositional nature of logical specifications provided in SPECTRL, to learn over graphs of probabilistic reach-avoid specifications. The formal guarantees are provided …