Digital Commons Network^™

Dude, Where’S My Data? A Legislative Band-Aid For Data Brokers’ Bullet Hole In Consumer Privacy Protection, Emily Bushman

Catholic University Law Review

The development and proliferation of the Internet, GPS, cell phones, social media, and the associated data that support these now ubiquitous technologies have created a new ecosystem of information making up a person’s digital identity. Our digital footprints have traditionally been subject to different levels of privacy protection depending upon the kind of data at issue. Over time, court decisions have revealed tensions and a lack of consistency on the question of how the protections guaranteed by the Fourth Amendment apply to an individual’s digital footprint and their reasonable expectations of privacy over it. This Comment will examine the gaps …

Enhancing Adult Learner Success In Higher Education Through Decision Tree Models: A Machine Learning Approach, Emily Barnes, James Hutson, Karriem Perry

Faculty Scholarship

This article explores the use of machine learning, specifically Classification and Regression Trees (CART), to address the unique challenges faced by adult learners in higher education. These learners confront socio-cultural, economic, and institutional hurdles, such as stereotypes, financial constraints, and systemic inefficiencies. The study utilizes decision tree models to evaluate their effectiveness in predicting graduation outcomes, which helps in formulating tailored educational strategies. The research analyzed a comprehensive dataset spanning the academic years 2013–2014 to 2021–2022, evaluating the predictive accuracy of CART models using precision, recall, and F1 score. Findings indicate that attendance, age, and Pell Grant eligibility are key …

Evaluation Of A Team-Based Model Of Nursing Care In The Acute Care Setting, Vanetta W. White

Doctor of Nursing Practice Scholarly Projects

Problem: The current nursing shortage is much different than the ones we have experienced in previous years. It is predicted that it will have long-lasting effects. With this shortage of nurses, especially in the acute care setting, alternative methods to deliver patient care beyond the current use of primary care models need to be explored. These alternative models of care which include team-based nursing must maintain quality and safety for patients cared for.

Purpose: This project will evaluate the outcomes of returning to a team-based nursing model of care on a medical-surgical unit while continuing to provide safe, quality care …

Implementing The 5a’S Of Obesity Management In Primary Care, Holly H. Rowell

Doctor of Nursing Practice Scholarly Projects

Problem Statement: The prevalence of obesity continues to increase globally, with greater prevalence in the southern United States, resulting in higher costs to the healthcare system and greater risks for the development of other chronic diseases. Purpose: Determine if implementing the 5A’s of Obesity Management among primary care providers in a rural, low-income healthcare setting will increase the diagnosis of obesity and result in a subsequent decrease in weight among patients who are obese. Methods: An educational session was held to familiarize providers with the 5A’s of Obesity Management and the importance of obtaining and documenting proper height …

Impact Of Hydrogen Peroxide Wipes Disinfecting Clostridioides Difficle On High-Touch Surfaces, Tyler Wolf Ramirez

Doctor of Nursing Practice Scholarly Projects

Clostridioides difficile is the leading cause of nosocomial diarrheas worldwide (Centers for Disease Prevention and Control [CDC], 2022). 15% of all hospitalized patients in the United States develop antibiotic-associated diarrhea (AAD), with 15-25% of cases caused by C. difficile (CDC, 2022). C. difficile costs the United States Healthcare system $5.4-6.3 billion annually (Balsells et al., 2019). The project’s purpose was to see if implementing hydrogen peroxide (H2O2) wipes using an interprofessional team leads to the following expected outcome(s): reduction in hospital-acquired C. difficile infections and comparable disinfection rates to sodium hypochlorite. An interprofessional team consisting of the primary lead, Clinical …

Assessing Readiness To Quit As An Intervention For Tobacco Cessation In Oncology Patients, Victoria Gabriela Maddox

Doctor of Nursing Practice Scholarly Projects

Problem Statement: Smoking and tobacco use is the leading cause of preventable death in the United States. Twenty percent of all cancer diagnoses are directly linked to smoking, and tobacco-related diseases and cancers contribute to one in every five deaths annually in the United States. Less than one in ten smokers are successful at quitting. Smokers attempting to quit are more successful in cessation programs after evaluation of self-efficacy, such as the readiness to quit.

Purpose: This evidence-based practice project aimed to evaluate the impact of motivational interviewing with the 5A’s model on smoking cessation efforts in patients at an …

Use Of An Audit And Feedback Tool And Sglt-2 Inhibitors To Delay Progression Of Chronic Kidney Disease, Megan Elaine Lanpher

Doctor of Nursing Practice Scholarly Projects

Problem Statement: Adults with Type 2 diabetes mellitus and chronic kidney disease experience a higher risk for progression to end-stage kidney disease, which negatively impacts health, increases medical costs, and decreases quality of life. Purpose: Determine if an audit and feedback intervention in a local nephrology clinic can increase provider adherence to a clinical practice guideline that supports the prescription of sodium glucose cotransporter-2 (SGLT-2) inhibitors. Methods: A pretest-posttest design was used to determine if an audit and feedback tool delivered to providers at three-week intervals would increase prescription of SGLT-2 inhibitors in adults with Type 2 diabetes and chronic …

Using Visual Thinking Strategies To Increase Empathy Levels In Inpatient Psychiatric Nurses: A Quality Improvement Project, Katharine E. Harding

Doctor of Nursing Practice Scholarly Projects

Problem Statement: Research indicates that empathy is declining in today’s behavioral health nursing workforce. Purpose: The aim of this quality improvement project was to apply an evidence-based Visual Thinking Strategies intervention to the clinical problem and increase empathy levels from pre-survey measurement among psychiatric nurses. Method: VTS methodology was employed through in-person interviews where participants viewed art-based images pertaining to mental health. Feedback from semi-structured questions was shared among participants. Pre and post-test interventional quantitative data via The Jefferson Scale of Empathy-Health Provider version (JSE-HP) and The Interpersonal Reactivity Index (IRI) instruments were collected. Inclusion Criteria: Participants were voluntarily recruited …

Variation And Adaptation In Guppies And Gambusia, Alan L. Gillen, Anna Collins

Faculty Publications and Presentations

The guppy fish is considered by many to be a symbol of fertility, renewal, and growth. Gambusia are likely relatives of guppies and are known as mosquito fish because they largely prey on mosquito larvae. For a century, they have been used locally and globally in mosquito control. Guppies, Endler’s livebearers, and Gambusia are in the Poeciliidae family and freely interbreed in the wild. They are assumed to be in the same baramin or created kind. Their purpose in creation is often associated with harmony, balance, and abundance. It appears that the Poeciliidae family was designed with an array of …

Spatial Microsimulation Of Carbon Tax Incidence: An Application To Washington State, Nathan W. Chan, Susan Stratton Sayre

Economics: Faculty Publications

Understanding carbon tax incidence is critical. However, standard approaches for calculating the incidence of subnational policies are prone to inaccuracy due to coarse aggregation. We evaluate an alternative approach: a spatial microsimulation (SMS) method that generates granular household-level incidence estimates. SMS provides unique and more nuanced insights into the distributional consequences of carbon taxes, including across geographies. We demonstrate this method for a recent carbon tax initiative in Washington State and counterfactual variations on its revenue recycling provisions. Comparing across counterfactuals, we pinpoint how different targeting provisions in revenue recycling designs will have disparate consequences for the progressivity/regressivity of the …

Impact Of Effective Word Vectors On Deep Learning Based Subjective Classification Of Online Reviews, Priya B. Kamath, M. Geetha, Dinesh U. Acharya, Ritika Nandi

Open Access archive

Sentiment Analysis tasks are made considerably simpler by extracting subjective statements from online reviews, thereby reducing the overhead of the classifiers. The review dataset encompasses both subjective and objective sentences, where subjective writing expresses the author's opinions, and objective text presents factual information. Assessing the subjectivity of review statements involves categorizing them as objective or subjective. The effectiveness of word vectors plays a crucial role in this process, as they capture the semantics and contextual cues of a subjective language. This study investigates the significance of employing sophisticated word vector representations to enhance the detection of subjective reviews. Several methodologies …

Impact Of Deposition Temperature On Persistent Photoconductivity Of Sno2 Thin Films Deposited Using Spray Pyrolysis Technique Suitable In Optoelectronic Synaptic Devices, P. Asha Hind, Pawan Kumar, U. K. Goutam, B. V. Rajendra

Open Access archive

In this study, nanocrystalline tin oxide thin films that exhibited enhanced persistent photoconductivity (PPC) were prepared using spray pyrolysis technique. The effect of deposition temperature on different aspects of photoconductivity of these films were analysed using different characterization techniques. Raman analysis confirmed the tetragonal rutile structure of the films and also indicated their nanocrystalline nature, while XPS analysis verified the presence and oxidation states of tin and oxygen in the films. The films demonstrated UV sensing capability under above-bandgap illumination, generating electron-hole pairs and enhancing electrical conductivity. The deposition temperature of the film influenced their photocurrent characteristics, showcasing varied responses …

Mathematical Methods For Economics And Business Syllabus, Marian Melnyk

Open Educational Resources

This syllabus outlines an online asynchronous course introducing essential mathematical tools and techniques in economics. It spans 24 sessions covering Functions, Differentiation, Limits, Integration, and Multivariable Functions, grounded in college algebra and calculus. The course utilizes Open Educational Resources (OER) for all materials, available in text and video formats on Blackboard. Continuous assessment, including quizzes, homework, two 1-hour tests, and a final exam, ensures consistent progress. Weekly online office hours provide additional support. The primary objective is to equip students with the mathematical skills necessary for economic analysis and problem-solving.

Water Current, Volume 56, No. 2, Summer 2024

Water Current Newsletter

No abstract provided.

In Vitro Culture Alters Cell Lineage Composition And Cellular Metabolism Of Bovine Blastocyst, Hao Ming, Mingxiang Zhang, Sandeep Rajput, Deirdre Logsdon, Linkai Zhu, William B. Schoolcraft, Rebecca L. Krisher, Zongliang Jiang, Ye Yuan

Faculty Publications

Profiling bovine blastocyst transcriptome at the single-cell level has enabled us to reveal the first cell lineage segregation, during which the inner cell mass (ICM), trophectoderm (TE), and an undefined population of transitional cells were identified. By comparing the transcriptome of blastocysts derived in vivo (IVV), in vitro from a conventional culture medium (IVC), and in vitro from an optimized reduced nutrient culture medium (IVR), we found a delay of the cell fate commitment to ICM in the IVC and IVR embryos. Developmental potential differences between IVV, IVC, and IVR embryos were mainly contributed by ICM and transitional cells. Pathway …

Secondary School State Athletic Association Health And Safety Policy Development Processes, Susan Yeargin, Rebecca M. Hirschhorn, William M. Adams, Samantha E. Scarneo-Miller

Faculty Publications

Background: The National Federation of State High School Associations provides recommendations regarding health and safety policies; however, policy development is governed at the state level. Given interstate differences in governance, the primary purpose was to describe processes that State High School Athletic Associations (SHSAAs) utilize to develop a new policy. The secondary objective was to determine what methods associations use to implement new policies. Methods: A cross-sectional survey requested SHSAA (n = 51) representatives to report how athlete health and safety policies are introduced, revised, approved, and implemented within their state. The 22-question survey was developed to gather variables for …

Snapshots Of Coastal Ecology Using Multiproxy Analysis Reveals Insights Into The Preservation Of Swamp And Marsh Environments Since The Late Pleistocene, Kendall Fontenot, Kristine L. Delong, Brian A. Schubert, Sophie Warny, Davin J. Wallace, Carrie M. Miller, Erin Culver-Miller, Michael J. Polito, Carl A. Reese, Kathryn Garretson, Kehui Xu, Grant L. Harley, Jeffrey Obelcz, Kelli L. Moran, Julian Traphagan, Douglas Jones, Alicia Caporaso

Faculty Publications

The southeastern United States Coastal Plain ecosystem contains baldcypress (Taxodium distichum) swamps and grass-dominated marshes. These ecosystems also occurred on the exposed continental shelf during lower sea levels but are rarely preserved due to the mechanically erosive nature of transgression and regression. Two presently marine sites on the northeastern Gulf of Mexico's continental shelf contain well-preserved woody terrestrial sediments that were the subject of previous studies. This study continues the investigation using geochemical (δ13C, δ15N, δ34S) and palynological characteristics of these formerly terrestrial sediments to determine if swamps and/or marshes existed at the time of deposition. The first site is …

Navigating Technological Change And The Landscape Of Work: Past, Present, And The Future, Alexandra Lucille Y. Navarez

Angelo King Institute for Economic and Business Studies (AKI)

No abstract provided.

The Expression Of Mantle Seismic Anisotropy In The Global Seismic Wavefield, Jonathan Wolf, Maureen D. Long, Daniel A. Frost, Tarje Nissen-Meyer

Faculty Publications

The dependence of seismic wave speeds on propagation or polarization direction, called seismic anisotropy, is a relatively direct indicator of mantle deformation and flow. Mantle seismic anisotropy is often inferred from measurements of shear-wave splitting. A number of standard techniques to measure shear-wave splitting have been applied globally; for example, *KS splitting is often used to measure upper mantle anisotropy. In order to obtain robust constraints on anisotropic geometry, it is necessary to sample seismic anisotropy from different directions, ideally using different seismic phases with different incidence angles. However, many standard analysis techniques can only be applied for certain epicentral …

Reinforcement Learning For Strategic Airport Slot Scheduling: Analysis Of State Observations And Reward Designs, Anh Nguyen-Duy, Duc-Thinh Pham, Jian-Yi Lye, Nguyen Binh Duong Ta

Research Collection School Of Computing and Information Systems

Due to the NP-hard nature, the strategic airport slot scheduling problem is calling for exploring sub-optimal approaches, such as heuristics and learning-based approaches. Moreover, the continuous increase in air traffic demand requires approaches that can work well in new scenarios. While heuristics rely on a fixed set of rules, which limits the ability to explore new solutions, Reinforcement Learning offers a versatile framework to automate the search and generalize to unseen scenarios. Finding a suitable state observation and reward structure design is essential in using Reinforcement Learning. In this paper, we investigate the impact of providing the Reinforcement Learning agent …

Learning Topological Representations With Bidirectional Graph Attention Network For Solving Job Shop Scheduling Problem, Cong Zhang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jing Sun

Research Collection School Of Computing and Information Systems

Existing learning-based methods for solving job shop scheduling problems (JSSP) usually use off-the-shelf GNN models tailored to undirected graphs and neglect the rich and meaningful topological structures of disjunctive graphs (DGs). This paper proposes the topology-aware bidirectional graph attention network (TBGAT), a novel GNN architecture based on the attention mechanism, to embed the DG for solving JSSP in a local search framework. Specifically, TBGAT embeds the DG from a forward and a backward view, respectively, where the messages are propagated by following the different topologies of the views and aggregated via graph attention. Then, we propose a novel operator based …

Mvmoe: Multi-Task Vehicle Routing Solver With Mixture-Of-Experts, Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu

Research Collection School Of Computing and Information Systems

Learning to solve vehicle routing problems (VRPs) has garnered much attention. However, most neural solvers are only structured and trained independently on a specific problem, making them less generic and practical. In this paper, we aim to develop a unified neural solver that can cope with a range of VRP variants simultaneously. Specifically, we propose a multi-task vehicle routing solver with mixture-of-experts (MVMoE), which greatly enhances the model capacity without a proportional increase in computation. We further develop a hierarchical gating mechanism for the MVMoE, delivering a good trade-off between empirical performance and computational complexity. Experimentally, our method significantly promotes …

Social-Ecological Determinants Of Affective States Among College Students: A Cross-Cultural Ecological Momentary Assessment Study, Abhishek Aggarwal

Theses and Dissertations

Background: College students experience a complex and diverse array of stressors during their college life, making them vulnerable to severe mental health issues. Momentary affective states are linked to major mental health disorders and overall well-being; however, the current social-ecological model of affect lacks a temporal dimension, failing to account for within-person dynamics of affective states over time. This study disentangles the complex temporal dynamics among the momentary, multilevel social-ecological factors and affective states in the real-world setting of college students across the United States (US) and India. However, establishing invariance of the affect model across time, people, and cultures …

Altered Sensory Processing And Pain In Youth With Sickle Cell Disease: Risk Factors And Moderators, Julia Johnston

Theses and Dissertations

Introduction: Youth with sickle cell disease (SCD) experience recurrent pain and increased risk for chronic pain. Neuropathic pain, characterized by alterations to the central and/or peripheral nervous systems, is not well understood among youth with SCD. Based on our current understanding of pain systems and existing literature on pain in SCD, this study aimed to elucidate psychosocial correlates of altered sensory processing (ASP) and neuropathic pain, determine biomedical risk factors contributing to the development of ASP among youth with SCD, and identify how sensory processing and biopsychosocial factors collectively influence pain experiences by assessing two plausible models. Methods: Thirty-five youth …

Unveiling The Dynamics Of Crisis Events: Sentiment And Emotion Analysis Via Multi-Task Learning With Attention Mechanism And Subject-Based Intent Prediction, Phyo Yi Win Myint, Siaw Ling Lo, Yuhao Zhang

Research Collection School Of Computing and Information Systems

In the age of rapid internet expansion, social media platforms like Twitter have become crucial for sharing information, expressing emotions, and revealing intentions during crisis situations. They offer crisis responders a means to assess public sentiment, attitudes, intentions, and emotional shifts by monitoring crisis-related tweets. To enhance sentiment and emotion classification, we adopt a transformer-based multi-task learning (MTL) approach with attention mechanism, enabling simultaneous handling of both tasks, and capitalizing on task interdependencies. Incorporating attention mechanism allows the model to concentrate on important words that strongly convey sentiment and emotion. We compare three baseline models, and our findings show that …

How People Prompt Generative Ai To Create Interactive Vr Scenes, Setareh Aghel Manesh, Tianyi Zhang, Yuki Onishi, Kotaro Hara, Scott Bateman, Jiannan Li, Anthony Tang

Research Collection School Of Computing and Information Systems

Generative AI tools can provide people with the ability to create virtual environments and scenes with natural language prompts. Yet, how people will formulate such prompts is unclear---particularly when they inhabit the environment that they are designing. For instance, it is likely that a person might say, "Put a chair here,'' while pointing at a location. If such linguistic and embodied features are common to people's prompts, we need to tune models to accommodate them. In this work, we present a Wizard of Oz elicitation study with 22 participants, where we studied people's implicit expectations when verbally prompting such programming …

The Information Content Of Financial Statement Fraud Risk: An Ensemble Learning Approach, Wei Duan, Nan Hu, Fujing Xue

Research Collection School Of Computing and Information Systems

This study aims to assess the financial statement fraud risk ex ante and empirically explore its information content to help improve decision-making and daily operations. We propose an ex-ante fraud risk index by adopting an ensemble learning approach and a theoretically grounded framework. Our ensemble learning model systematically examines the fraud process and deals effectively with the unique challenges in the financial fraud setting, which yields superior prediction performance. More importantly, we empirically examine the information content of our estimated ex-ante fraud risk from the perspective of operational efficiency. Our empirical results find that the estimated ex-ante fraud risk is …

Topic Modeling On Document Networks With Dirichlet Optimal Transport Barycenter (Extended Abstract), Ce Zhang, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Texts are often interconnected in a network structure, e.g., academic papers via citations. On the one hand, though Graph Neural Networks (GNNs) have shown promising ability to derive effective embeddings for networked documents, they do not assume latent topics, resulting in uninterpretahle embeddings. On the other hand, topic models can infer interpretable document representations. However, most topic models focus on plain text and fail to leverage network structure across documents. In this paper, we propose a GNN-based topic model that both captures network connection and derives semantically interpretable text representations. For network modeling, we build our model with Optimal Transport …

Final 2024 Residential Metals Abatement Program (Rmap) Park Soil Sampling Field Sampling Plan (Fsp) Submittal #14 [Silver Bow Homes Park, Butte Koa, Fairmont Rv Park, And Cccs Gymnasium], Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final 2024 Residential Metals Abatement Program (Rmap) Park Soil Sampling Field Sampling Plan (Fsp) Submittal #13 [Copper Mountain Park], Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.