Digital Commons Network^™

Fossil Fuels In Disguise: Environmental Issues With Carbon Capture Storage In The Central Valley, Medha Gelli

Scripps Senior Theses

The California Air Resources Board’s 2022 Scoping Plan supports the development of Carbon Capture Storage (CCS) facilities in order to meet California’s climate goals. Most of the proposed fourteen sites will be located in the Central Valley. CCS may help achieve negative emissions but poses several environmental problems. Key among these issues are water depletion and contamination, excessive energy usage, air pollution, and the potential for CCS-induced seismic risk. Due to the Central Valley’s disadvantaged and less-resourced background, this area is more at risk for environmental injustices with CCS implementation. By creating Geographic Information Systems (GIS) maps of factors related …

A Biblioguidance Approach To Fostering Students’ Self-Efficacy To Advocate For Health, Jennifer R. Banas, Sara Gershon

Health Sciences and Physical Education Faculty Publications

Teaching the components of health advocacy is straightforward, but fostering young people’s self-efficacy to be health advocates for themselves, others, and their community is more complex. This complexity sometimes renders advocating for health, the basis of National Health Education Standard (NHES) #8, challenging to teach. We utilized a pedagogical approach called biblioguidance to teach this skill to 10th-grade students. The premise of biblioguidance, also called bibliotherapy, is that information, guidance, and even solace can be found through reading and vicariously living story events. To implement this approach, we consulted the literature and created a six-step framework to guide the design, …

Beyond The Two-Tiered System: Contingency As A Tool For Academic Upward Mobility, Wonderful Faison, Tatiana Glushko

The Writing Center Journal

This article explores the scholarly endeavors upon which writing center directors and coordinators must embark to effectively run their centers. Additionally, the authors explore ways to use their contingent statuses as leverage for either tenure or promotion by linking their scholarly work to departmental and university tenure/promotion requirements.

Why Corporate Boards Should Include Lgbtq+ People, Jeremy Mcclane, Darren Rosenblum

Faculty Publications

(Excerpt)

Corporate boardrooms sit at the heart of most of society’s most consequential decisions but fall far short of the diversity of our society. The current movement toward board diversification aims to remedy the underrepresentation of marginalized groups on corporate boards. More recently, some efforts have included LGBTQ+ people, even though the basis for their inclusion on corporate boards remains largely unstated. This Article examines both the normative and instrumental bases for LGBTQ+ inclusion in board diversity initiatives, articulating unspoken assumptions and linking LGBTQ+ people to the broader inclusion effort. In so doing, it begins to surface the unique issues …

In Pursuit Of Sustainable Educational Development: The Philippines And The English Dilemma, Rosemary C. Salomone

Faculty Publications

The English language poses a dilemma in meeting the UN Sustainable Development Goals (SDGs), especially for education in countries with high multilingualism, high poverty and unequal schooling, such as the Philippines. This chapter considers Goal 1 (reducing poverty), Goal 4 (promoting educational quality) and Goal 10 (reducing inequalities) in relation to what has become an array of executive orders, regulations and laws that have shifted in the political winds, even as the judiciary has tried to navigate a measured course. It underscores how the primacy of English in the national consciousness, tied to global markets, undercuts multilingual policies based in …

To The Land Of Opportunity: Leadership Journeys Of Persian Immigrant Women In The United States, Shaima Khinjani

Graduate Student Theses, Dissertations, & Professional Papers

How have barriers shaped the experience of Persian women holding leadership positions in the United States? Using a qualitative approach, this research studied the lived experience of immigrant women from Persian-speaking countries and the challenges of their leadership journey in the United States. The data from the lived experiences of twelve women in leadership positions with one-to-one Zoom meetings were collected using interactive interviews. Raw transcriptions of their experiences were analyzed using the descriptive phenomenological approach outlined by Giorgi (2009). This approach allowed for the data to be reduced into a single narrative description shared by all participants indicating the …

Gender Diversity Cultural Responsiveness Education In Speech-Language Pathology Graduate Programs: A Pilot Survey, Tara Dickinson, Molly Normandin, Rachel W. Mulheren

Faculty Scholarship

Purpose: Gender-affirming voice therapy aims to align a person’s voice and communication with their gender identity. Historically, transgender and gender-nonconforming (TGNC) individuals have been marginalized and continue to face significant healthcare disparities. The goal of this research was to examine the self-perceived preparedness of recent speech-language pathology (SLP) graduates for working with TGNC clients. A survey was developed to include both multiple choice and open-ended questions. Topics included graduate-level training on working with TGNC individuals, perceived preparedness to work with this client population, educational resources sought by respondents, and suggested improvements for SLP graduate programs. Thirty recent (since 2016) SLP …

Federal Insecticide, Fungicide, And Rodenticide Act Preemption Of State Failure-To-Warn Laws, Theodore Motz

Colorado Environmental Law Journal

No abstract provided.

The Benefits Of Community In The Face Of Disaster: Struggling To Success, Lucian Rothe

Faculty and Staff Scholarship

Prologue: The books on language pedagogy and German-speaking literature that filled the tall shelf in my apartment were waterlogged and falling apart. Amidst the ruin of my flooded home, the disintegrating texts I held in my hands formed both the reality of my life and served as a metaphor for the many challenges that appeared for me during my last year of graduate school.

Studia I Materiały 1/2023 (38)

Studia i Materiały Wydział Zarządzania Uniwersytet Warszawski

Studia i Materiały 1/2023 (38)

Chinese Material Culture Signatures In Native North America: A Preliminary Study Of National Museum Of The American Indian Online Collections And Plains, Erin Drin Rosenkrance, Erin D. Rosenkrance

Graduate Student Theses, Dissertations, & Professional Papers

Rosenkrance, Erin, M.A. Autumn 2023, Department Anthropology

Chinese Material Culture Signatures in Native North America:

A Preliminary Study of National Museum of the American Indian Online Collections and Plains cultural heritage

Chairperson: Dr. Kelly Dixon, Anthropology. University of Montana

This research explores and identifies Chinese Material Culture (CMC) incorporated into Plains Tribal Culture Artifacts Collections (PTACs) within the National Museum of the American Indian (NMAI) online collection. The study seeks to establish the historical context and rationale for this investigation and aims to provide a visual analysis of the identified CMCs, laying the groundwork for future research. Through an exploratory …

Elementary Teachers’ Perceptions Of The Impact Of Poverty On Instruction And Support With Elementary Students Experiencing Rural Poverty In A Rural Title I Elementary School, Mitzi Mccann Jackson

Theses and Dissertations

Nearly 30 million people in the United States live in households with an annual income of less than @25,962 for a family of four. To the United States Census Bureau, this income threshold constitutes a family (or individuals in a family) as being in poverty. Poverty is not solely about income thresholds; rather, how much income levels impact learning, education, and teachers is a greater area of concern. The purpose of this study was to explore how teachers’ perceptions of poverty impact how they instruct and support elementary students experiencing rural poverty, what differences exist in instruction and support between …

Documents From The December 6, 2024 Meeting Of The Associated Students Of The University Of Montana (Asum), University Of Montana--Missoula. Associated Students

Senate Meeting Agendas and Minutes, 2007-Present

Agenda and meeting minutes from the December 6, 2024 meeting of the Associated Students of the University of Montana (ASUM).

Und Leads: A Strategic Vision For The University Of North Dakota, University Of North Dakota

LEADS Development Documents

Official UND LEADS strategic plan for the University of North Dakota. The plan presents UND’s mission and vision, introduces the five LEADS pillars of Learning, Equity, Affinity, Discovery, and Service, and outlines strategic priorities developed through campus and community input.

Prediction Of 2024 Indian Pm Election Results Using Sentiment Analysis On Twitter Data, Surabhi Gupta

Master's Projects

This sentiments analysis study presents a methodical approach to predict the 2024 Indian Prime Minister Election. Data collected spanning from 2020 to 2023 from Twitter using hashtags such as IndianPMElection2024 and on topics such as the revocation of the special status of Jammu and Kashmir, the Farm Bill, and the Digital India initiative, form the core of this research. We utilized a combination of sentiment extraction tools-namely, the NLP Town's Bidirectional Encoder Representations from Transformers (BERT)-based multilingual uncased sentiment model, Valance Aware Dictionary for Sentiment Reasoning (VADER), and TextBlob. Additionally, we used a well-established machine learning model Naive Bayes, deep …

Context Aware Neural Machine Translation Using Graph Encoders, Saurabh Kale

Master's Projects

Machine translation presents its root in the domain of textual processing that focuses on the usage of computer software for the purpose of translation of sentences. Neural machine translation follows the same idea and integrates machine learning with the help of neural networks.Various techniques are being explored by researchers and are famously used by Google Translate, Bing Microsoft Translator, Deep Translator, etc. However, these neural machine translation techniques do not incorporate the context of the sentences and are only determined by the phrasesor sentence structure. This report explores the neural machine translation technique dedicated to context-aware translations. It also provides …

Ml-Based User Authentication Through Mouse Dynamics, Sai Kiran Davuluri

Master's Projects

Increasing reliance on digital services and the limitations of traditional authentication methods have necessitated the development of more advanced and secure user authentication methods. For user authentication and intrusion detection, mouse dynamics, a form of behavioral biometrics, offers a promising and non-invasive method. This paper presents a comprehensive study on ML-Based User Authentication Through Mouse Dynamics.

This project proposes a novel framework integrating sophisticated techniques such as embeddings extraction using Transformer models with cutting-edge machine learning algorithms such as Recurrent Neural Networks (RNN). The project aims to accurately identify users based on their distinct mouse behavior and detect unauthorized access …

Spam Comments Detection In Youtube Videos, Priyusha Kotta

Master's Projects

This paper suggests an innovative way for finding spam or ham comments on the video- sharing website YouTube. Comments that are contextually irrelevant for a particular video or have a commercial motive constitute as spam. In the past few years, with the advent of advertisements spreading to new arenas such as the social media has created a lucrative platform for many. Today, it is being widely used by everyone. But this innovation comes with its own impediments. We can see how malicious users have taken over these platforms with the aid of automated bots that can deploy a well-coordinated spam …

Sensitive Data Detection With High-Throughput Machine Learning Models In Electrical Health Records, Kai Zhang, Xiaoqian Jiang

Faculty, Staff and Student Publications

In the era of big data, there is an increasing need for healthcare providers, communities, and researchers to share data and collaborate to improve health outcomes, generate valuable insights, and advance research. The Health Insurance Portability and Accountability Act of 1996 (HIPAA) is a federal law designed to protect sensitive health information by defining regulations for protected health information (PHI). However, it does not provide efficient tools for detecting or removing PHI before data sharing. One of the challenges in this area of research is the heterogeneous nature of PHI fields in data across different parties. This variability makes rule-based …

Large Language Models For Healthcare Data Augmentation: An Example On Patient-Trial Matching, Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, Xia Hu

Faculty, Staff and Student Publications

The process of matching patients with suitable clinical trials is essential for advancing medical research and providing optimal care. However, current approaches face challenges such as data standardization, ethical considerations, and a lack of interoperability between Electronic Health Records (EHRs) and clinical trial criteria. In this paper, we explore the potential of large language models (LLMs) to address these challenges by leveraging their advanced natural language generation capabilities to improve compatibility between EHRs and clinical trial descriptions. We propose an innovative privacy-aware data augmentation approach for LLM-based patient-trial matching (LLM-PTM), which balances the benefits of LLMs while ensuring the security …

A Scientific Communication Mentoring Intervention Benefits Diverse Mentees With Language Variety Related Discomfort, Carrie A Cameron, Hwa Young Lee, Cheryl B Anderson, Erin K Dahlstrom, Shine Chang

Faculty, Staff and Student Publications

We studied social-psychological effects over time of a faculty-mentor workshop intervention that addressed attitudes associated with language variety and their impact on scientific communication (SC) skill development of PhD and postdoctoral STEM research trainees (N = 274). Six months after their mentors attended the workshop, all mentees had significant gains in productivity in speaking tasks. In particular, mentees with high language discomfort rated their quality of communication with their mentor and their enthusiasm about communicating more highly (p < .05 for both measures), compared to mentees with low language discomfort. In addition, mentees raised speaking nonstandardized varieties of English reported significant reductions in discomfort related to language use (p = .003), compared to mentees raised speaking standardized English. We conclude that training mentors to understand and respond to …

Local Contrastive Learning For Medical Image Recognition, Syed A Rizvi, Ruixiang Tang, Xiaoqian Jiang, Xiaotian Ma, Xia Hu

Faculty, Staff and Student Publications

The proliferation of Deep Learning (DL)-based methods for radiographic image analysis has created a great demand for expert-labeled radiology data. Recent self-supervised frameworks have alleviated the need for expert labeling by obtaining supervision from associated radiology reports. These frameworks, however, struggle to distinguish the subtle differences between different pathologies in medical images. Additionally, many of them do not provide interpretation between image regions and text, making it difficult for radiologists to assess model predictions. In this work, we propose Local Region Contrastive Learning (LRCLR), a flexible fine-tuning framework that adds layers for significant image region selection as well as cross-modality …

A Novel Nih Research Grant Recommender Using Bert, Jie Zhu, Braja Gopal Patra, Hulin Wu, Ashraf Yaseen

Faculty, Staff and Student Publications

Research grants are important for researchers to sustain a good position in academia. There are many grant opportunities available from different funding agencies. However, finding relevant grant announcements is challenging and time-consuming for researchers. To resolve the problem, we proposed a grant announcements recommendation system for the National Institute of Health (NIH) grants using researchers' publications. We formulated the recommendation as a classification problem and proposed a recommender using state-of-the-art deep learning techniques: i.e. Bidirectional Encoder Representations from Transformers (BERT), to capture intrinsic, non-linear relationship between researchers' publications and grants announcements. Internal and external evaluations were conducted to assess the …

Digital Solutions Observed In Clinical Trials: A Formative Feasibility Scoping Review, Taylor M Harrison, Sungrim Moon, Liwei Wang, Sunyang Fu, Hongfang Liu

Faculty, Staff and Student Publications

Growing digital access accelerates digital transformation of clinical trials where digital solutions (DSs) are increasingly and widely leveraged for improving trial efficiency, effectiveness, and accessibility. Many factors impact DS success including technology barriers, privacy concerns, or user engagement activities. It is unclear how those factors are considered or reported in the literature. Here, we perform a formative feasibility scoping review to identify gaps impacting DS quality and reproducibility in trials. Articles containing digital terms published in English from 2009 to 2022 were collected (n=4,167). 130 articles published between 2016 and 2022 were randomly selected for full-text review. Eligible articles (n=100) …

Understanding Fertility Behavior Of The Forcibly Displaced Myanmar Nationals In Bangladesh: A Qualitative Study, Md Anwer Hossain, Mohammad Bellal Hossain

Faculty, Staff and Student Publications

INTRODUCTION: Rohingya- the Forcibly Displaced Myanmar Nationals (FDMN)- are largely characterized by a high total fertility rate (TFR) and a low contraceptive prevalence rate. This study aimed to explore the reasons behind their high fertility behavior by utilizing the Theory of Planned Behavior.

DATA AND METHOD: We adopted a cross-sectional qualitative research approach. Fifteen semi-structured, face-to-face in-depth interviews were conducted with the Rohingya husbands, wives, and community leaders (Majhi and Imam/Khatib) living in Camps 1 and 2 of Ukhiya Refugee Camp, Cox's Bazar, Bangladesh. We analyzed the qualitative data using the thematic analysis approach.

RESULTS: The Muslim-majority FDMN predominantly constructed …

Children Then, Adults Now: Long-Term Outcomes-Performance At 15, 20, And 25 Years Of Cochlear Implant Use, João Elói Moura, Jorge Humberto Martins, Marisa Alves, Graça Oliveira, Daniela Ramos, Helena Alves, Ricardo Caiado, António Teixeira, Luís Filipe Silva, Jorge Migueis

Faculty, Staff and Student Publications

MOTIVATION: Severe to profound sensorineural hearing loss interferes with a child's development at the cognitive, linguistic, academic, and social levels. Since the beginning of the pediatric auditory rehabilitation program through cochlear implantation in the Ear, Nose, and Throat (ENT) Service of the Coimbra Hospital and University Center (CHUC), Portugal, its mentors defended the early diagnosis of hearing loss followed by timely intervention, and this was considered the starting point to optimize (re)habilitation through this method. Three decades or so later, recently we conducted this study to evaluate the performance of patients implanted in the initial phase of the cochlear implantation …

Tiny Language Models Enriched With Multimodal Knowledge From Multiplex Networks, Clayton Fields, Osama Natouf, Andrew Mcmains, Catherine Henry, Casey Kennington

Computer Science Faculty Publications and Presentations

Large transformer language models trained exclusively on massive quantities of text are now the standard in NLP. In addition to the impractical amounts of data used to train them, they require enormous computational resources for training. Furthermore, they lack the rich array of sensory information available to humans, who can learn language with much less exposure to language. In this study, performed for submission in the BabyLM challenge, we show that we can improve a small transformer model’s data efficiency by enriching its embeddings by swapping the learned word embeddings from a tiny transformer model with vectors extracted from a …

Criticizing Paywall Publishing, Or Integrating Open Access Into The Feminist Movement, Meggie Mapes, Teri Terigele

Journal of Feminist Scholarship

Dominant scholarly publishing models, reliant on expensive paywalls, remain preferential throughout higher education’s landscape. This essay engages paywall publishing from a feminist communicative perspective by asking, how can publishing extend or prohibit feminist movements? Or, as Nancy Fraser (2013) asks, “which modes of feminist theorizing should be incorporated into the new political imaginaries now being invented by new generations” (2)? With these questions in mind, we integrate feminist epistemologies into publishing practices to argue that open access is integral to the feminist movement. The argument unfolds in three parts: first, we conduct a feminist criticism of paywall publishing by arguing …

Communication Networks And Team Performance: Selecting Members To Network Positions, Jerry Guo, Linda Argote, Jonathan Kush, Jisoo Park

School of Business

This study examines how individuals come to occupy communication network positions and the effect of selection processes on group performance. Drawing on the Carnegie perspective and research on communication networks, we compare the performance of groups whose members receive their choice of who occupies which network position to the performance of groups whose members do not receive their choice. We integrate ideas from the Carnegie perspective with the social psychological literature on the recognition of expertise to theorize that when group members choose who occupies which network positions, individuals select themselves and others into network positions that best suit their …

Introduction: Translating Transnational Feminisms, Erin K. Krafft, Caroline De Souza

Journal of Feminist Scholarship

In this introduction to the Special Issue “Translating Transnational Feminisms,” we argue for the integral position of feminist translation practices and the theories of Feminist Translation Studies as tools for both local and transnational feminist solidarities. Beginning with the understanding that transnational feminist solidarities rely on not only linguistic translation but also cultural fluencies that allow for exchange rather than simply the import or export of locally bound feminist praxis, we illustrate that the practice of feminist translation thus carries with it the conflicts, the fraught and unfolding contestations of meaning, and the ever-evolving conceptions of gender, feminism, and solidarity …