Digital Commons Network^™

Tools To Design Algorithms For Implementing Control Over Quantum Computers, Shilpa Narashimhan, Jihan Abou Halloun, Kip Nieman, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Quantum computers (QCs) may find future applications within control systems that operate manufacturing processes. For application within control engineering, quantum algorithm development must be led by control engineers. However, control engineers may face challenges in designing quantum algorithms for control engineering problems. In this work, we provide several path-finding studies that leverage engineering tools such as optimization, encryption, and computational "short-cuts" toward making algorithm design for QC easier for control engineers.

The Minutes Of The Marshall University Staff Council Meeting, August 2025, Marshall University Staff Council

Staff Council Minutes

No abstract provided.

Operational Solutions To Address Radiology Staffing Challenges In Southern California Hospitals, Jacqueline Wood

Walden Dissertations and Doctoral Studies

The problem of interest is the current workforce crisis among the Radiologist Specialty in hospitals in Southern California. There has been a significant decline in the number of Radiologists in the workforce compared to the caseload of imaging studies. The purpose of this integrative review was to evaluate empirical and non-empirical literature for operational solutions to improve recruitment and retention of radiology providers. Literature published between 1999-2024 were evaluated for appropriateness using the Johns Hopkins evidence appraisal tools. The literature involved strategies and identified operational areas of opportunity for improvement with radiologist staffing. Identifying ways to improve job satisfaction, retention …

Relationship Of Provider-Patient Communication And Health Literacy To Self-Management In Black Adults With Type-2 Diabetes, Linda Walker

Walden Dissertations and Doctoral Studies

Black adults in the United States are nearly twice as likely to receive a diagnosis of type 2 diabetes mellitus (T2DM) and are more susceptible to severe diabetes-related complications. Health literacy and patient-provider communication (PPC) are extremely important for self-management in patients of all ethnicities however, 58% of non-Hispanic Blacks have basic or below-basic health literacy skills compared to 28% of non-Hispanic Whites. The purpose of this descriptive correlational study, with was guided by the interaction model of client behavior, was to determine (a) if there is relationship between PPC during the healthcare encounter to health literacy among Black adults …

Humanizing Cities As An Approach For Solving Cities' Problems To Be More Livable, Kareem Mahrous Ali

Mansoura Engineering Journal

Most people around the world want to move from the countryside to the cities or from one city to another that provides them with all their human needs for a better life. The dream may come true for them or turn into a nightmare for reasons related to general problems facing most cities in the world, such as the high cost of living and the absence of social justice, these problems cause an increase in poor families, or the issue of refugees and the inability of some cities to welcome them, the energy crisis, and the challenges of climate change …

Riparian Restoration Increases Soil Microbial Biomass In Marin County Rangelands, But Soil Carbon Stock Is Less Responsive, Sherilyn Kathryn Reinhart

Master's Theses

Land use change has caused the degradation of 70% of the Earth’s soils, directly altering soil microbial communities and carbon cycling. Interest in carbon farming practices is growing, but studies that document the nuances of soil carbon flux in specific bioregions are still too few. In this study, I examined how one practice, riparian restoration, alters soil carbon stock and microbial community structure over time. Using a paired sampling time series design, I collected soil samples from twelve riparian forests and adjacent rangelands near Marin County, California. Young and mature sites ranged from five to 29 years since restoration, and …

Examining The Relationship Between Artificial Intelligence And Disability, Luke Abell, Ben Anderson, Andres Arbulu, Cailyn Bowerman, Ethan Brown, Logan Busch, Eliana Chinitz, Shaan Choksi, Charles Clark, Alexander Claure, Meaghan Crites, Amalia Daniell, Stephen Dombrowski, Clara Dotterer, Jordyn Fink, Jake Fox, Akanksha Garg, Ishaan Ghosh, Cristian Gorayeb, Lia Gosselin, Simon Hasik, Alexis Hawkins, Charles Dickerson Iv, Chistopher Johnson, Cj Kulprathipanja, Claire Lindborg, Josh Lorenz, Luke Mcdonald, Daniella Nahnsen, Arwa Neemuchwala, Sage Nichols, Henrique Ortega, Krish Patel, Daniel Paul, Andres Ravelo, Daniel Reyes, Francesca Rovetto, Santiago Sacchini, Juan Santos, Mauricio Saturno, Carter Schaffer, Joey Schlosser, Anna Scroggings, Dylan Smith, Daniel Tejeira, Kenny Teng, Diya Tibrewala, Max Young, Robert Zeltsman, Bradley S. Duerstock, Maxwell Mensah

Undergraduate Coursework

No abstract provided.

Chancellor's Column: A New, Exciting Year Is Underway At Umn Morris, Communications And Marketing

Campus News Archive

No abstract provided.

Optimizing Workflow And Patient Outcomes: The Impact Of The Modified Adult Difficult Intravenous Access (A-Diva) Scale On Peripheral Iv Access: A Quality Improvement Project, Dakota S. Weaver, Ryan O'Sullivan

Doctor of Nurse Anesthesia Practice (DNAP) Manuscripts

Peripheral intravenous cannulation (PIVC) is one of the most performed invasive procedures in hospital settings, yet it is frequently associated with multiple attempts in patients with difficult intravenous access (DIVA). In obstetric (OB) triage settings, where time-sensitive care is critical, failed PIVC attempts can delay treatment and negatively affect patient experience. The Modified Adult Difficult Intravenous Access (A-DIVA) scale is a validated tool designed to identify patients at risk for DIVA and guide early use of advanced techniques such as ultrasound (US) guidance.

A QI initiative was implemented in the OB triage unit of a large academic hospital. The tool …

Decomposing Trends In The Gender Gap For Highly Educated Workers, Joseph G. Altonji, John Eric Humphries, Yagmur Yuksel, Ling Zhong

Cowles Foundation Discussion Papers

This paper examines the gender gap in log earnings among full-time, college-educated workers born between 1931 and 1984. Using data from the National Survey of College Graduates and other sources, we decompose the gender earnings gap across birth cohorts into three components: (i) gender differences in the relative returns to undergraduate and graduate fields, (ii) gender-specific trends in undergraduate field, graduate degree attainment, and graduate field, and (iii) a cohortspecific “residual component” that shifts the gender gap uniformly across all college graduates. We have three main findings. First, when holding the relative returns to fields constant, changes in fields of …

Covid-19 Crisis: Contemporary Trauma Theory And Clinical Social Workers’ Perspectives Of Work-Related Secondary Trauma Post-Pandemic, Dr. Veronica Y. Griffin

Walden Dissertations and Doctoral Studies

The COVID-19 pandemic was an unprecedented global crisis that challenged clinical social workers’ traditional client-centered strategies and exposed some to secondary trauma. The purpose of this qualitative study was to explore clinical social workers’ perspectives on work-related secondary trauma post-COVID-19 pandemic using the contemporary trauma theory as the theoretical framework. The research question involved exploring their perspectives of how this trauma affected their biopsychosocial functioning. Semi-structured interviews were conducted with eight participants who were clinical social workers between 28 and 36. Using thematic analysis, themes were identified and grouped into the three functioning groups: personal, relationships, and career. Twelve themes …

Staff Education On Suicidal Screening In Young African American Male Adults With Bipolar Disorders, Tokunbo Ndidi Allen

Walden Dissertations and Doctoral Studies

This Doctor of Nursing Practice education project aimed to enhance mental health providers’ preparedness in culturally competent suicide screening, specifically for African American males with bipolar disorder in a behavioral health department. The practice issue identified was a lack of documented training, leading to underdiagnosis, missed interventions, and health disparities driven by cultural stigma, provider discomfort, and the absence of standardized guidelines. This represents a serious patient safety concern for African American males with mood disorders, such as bipolar, who are significantly underserved in mental health care. The guiding question was: Does a suicide screening education program improve the knowledge …

August 21, 2025, James Madison University

The Breeze, 2020-

The Breeze is the student newspaper of James Madison University in Harrisonburg, Virginia.

Implementation Of Patient-Centered Approaches To Enhance Engagement And Satisfaction In Psychiatric Care Within A Family Mental Health Service, Nnenna Attah

Walden Dissertations and Doctoral Studies

Summary I conducted this evaluation of a quality improvement initiative at a family mental health service center aimed to enhance patient engagement and satisfaction in psychiatric care through patient-centered approaches. The practice problem addressed in this project was the lack of patient engagement and satisfaction. This issue is critical to address within the context of nursing practice because patient-centered care is fundamental to improving clinical outcomes, patient satisfaction, and overall quality of care. The practice-focused question was: How can patient-centered approaches enhance patient engagement and satisfaction in psychiatric care? In the project, I focused on evaluating the impact of patient-centered …

Prefrontal Cortex Astrocytes Modulate Distinct Neuronal Populations To Control Anxiety-Like Behavior, Eunyoung Kim, Hairuo Du, Yanqi Tan, Brandon L Brown, Yaowen Chang, Blanca Díaz-Castro, Jonathan V Sweedler, Xinzhu Yu

Faculty, Staff and Student Publications

Accumulating evidence has supported diverse regulatory functions of astrocytes in different neural circuits as well as various aspects of complex behaviors. However, little is known about how astrocytes regulate different neuronal subpopulations that are linked to specific behavioral aspects within a single brain region. Here, we show that astrocytes in the medial prefrontal cortex (mPFC) encode anxiogenic environmental cues in freely behaving mice. Silencing mPFC astrocyte Ca

Autonomous Driving Of A Guided Emergency Service Robot With Route Tracking Control, Saif Talib Abbas Albasrawi, Lamyaa Sabeeh Ashour Al-Lami

Baghdad Science Journal

This work presents a method for controlling the travel routes that tracked robots use to get around their environments. The algorithm utilized in model-predictive control could be implemented in a vehicle to make the vehicle capable of driving itself if an emergency arises. It is anticipated that soon, collaboration between edge clouds will become more commonly used to connect and control various pieces of rescue equipment. The Linear Model-Predictive Control algorithm, also known as LMPC, is an excellent choice for controlling the path that the rescue robots will take because it makes efficient use of the limited computational resources available …

Enhancing Interprofessional Competence Among Speech Pathology, Nursing, Social Work, And Psychology Students Using Simulated Case Presentations, Elizabeth Oommen, Emily Helder, Kayla Johnson, Stacia L. Hoeksema, Laura Schipper

University Faculty Publications and Creative Works

Background: This study assesses the impact of an Interprofessional Education (IPE) program (which included simulated case presentations), on the perceived competence and quality of interprofessional (IP) work products of undergraduate social work, nursing, psychology students, and graduate students in speech-language pathology.

Methods: Participants included 123 students who participated in IP colloquiums through reviewing clinical cases, developing IP assessment and treatment goals, and presenting these to fellow students and faculty. Pre- and post-testing using IPEC Competency Self-Assessment Tool was used for assessment. For each colloquium, the students from all disciplines also submitted a single worksheet for their assigned case, …

Graduate Committee Agenda

Graduate Committee Agendas

No abstract provided.

Human Interpretable Grammar Encodes Multicellular Systems Biology Models To Democratize Virtual Cell Laboratories, Jeanette A I Johnson, Daniel R Bergman, Heber L Rocha, David L Zhou, Eric Cramer, Ian C Mclean, Yoseph W Dance, Max Booth, Zachary Nicholas, Tamara Lopez-Vidal, Atul Deshpande, Randy Heiland, Elmar Bucher, Fatemeh Shojaeian, Matthew Dunworth, André Forjaz, Michael Getz, Inês Godet, Furkan Kurtoglu, Melissa Lyman, John Metzcar, Jacob T Mitchell, Andrew Raddatz, Jacobo Solorzano, Aneequa Sundus, Yafei Wang, David G Denardo, Andrew J Ewald, Daniele M Gilkes, Luciane T Kagohara, Ashley L Kiemen, Elizabeth D Thompson, Denis Wirtz, Laura D Wood, Pei-Hsun Wu, Neeha Zaidi, Lei Zheng, Jacquelyn W Zimmerman, Jude M Phillip, Elizabeth M Jaffee, Joe W Gray, Lisa M Coussens, Young Hwan Chang, Laura M Heiser, Genevieve L Stein-O'Brien, Elana J Fertig, Paul Macklin

Faculty, Staff and Student Publications

Cells interact as dynamically evolving ecosystems. While recent single-cell and spatial multi-omics technologies quantify individual cell characteristics, predicting their evolution requires mathematical modeling. We propose a conceptual framework-a cell behavior hypothesis grammar-that uses natural language statements (cell rules) to create mathematical models. This enables systematic integration of biological knowledge and multi-omics data to generate in silico models, enabling virtual "thought experiments" that test and expand our understanding of multicellular systems and generate new testable hypotheses. This paper motivates and describes the grammar, offers a reference implementation, and demonstrates its use in developing both de novo mechanistic models and those informed …

Tort Liability For Failure To Age Gate: A Promising Regulatory Response To Digital Public Health Hazards, Matthew B. Lawrence, Brett Frischmann, Avi Sholkoff

Faculty Publications

Tort liability for failure to “age gate” is a promising legal response to the public health hazards of AI, social media, sports gambling, and other digital spaces. Tort liability for failure to “age gate” hinges liability for harms to minors on an app’s failure to take reasonable steps to prevent minors from gaining access or otherwise to apply appropriate governance rules, such as privacy-protective default settings or ensuring genuine parental consent. While no one legal response is a panacea, tort liability for failure to age gate carries several distinctive advantages that make it a particularly promising option at this stage …

Investigation Of A Stable And Saturated Reference Electrode Using Metal Chlorides And Oxides In Eutectic Licl-Kcl Molten Salts, Carlos Mejia, Devin Rappleye

Faculty Publications

Stable and reproducible reference electrodes (REs) are essential for electrochemical systems operating in high-temperature molten salts, where consistent control of potential is required. This study uses three different solutes to investigate the development and evaluation of REs in eutectic LiCl-KCl at 773 K. The solutes tested were NiCl2, AgCl, and NiO, each prepared at multiple concentrations to assess stability, reproducibility, and saturation. Electrochemical stability was measured over three days using chronopotentiometry (CP), followed by open circuit potential (OCP), with cyclic voltammetry (CV) also integrated to monitor changes in electrochemical behavior over time. The CP-OCP approach established a Li+/Li redox potential, …

Triage Of Road Injury Casualties - The Role Of Bystanders: A Scoping Review, George Stephen Russam, Jake Gluyas-Harris, Nicholas Aveyard, Tim Nutbeam

Peninsula Medical School

Background: Bystanders have the potential to be a critical component of the Road Injury Chain of Survival, particularly in the early phases of injury recognition, scene assessment, and emergency service activation. Their potential role in trauma triage remains underexplored. This scoping review aims to examine the existing evidence of the use of bystanders in triage—both laypersons and non-clinical professionals—during the prehospital phase of road injury and other trauma scenarios. Methods: A systematic search was undertaken across MEDLINE, CINAHL, and the Psychology & Behavioural Sciences Collection using the EBSCO Host platform, with supplementary hand searches via Google Scholar and reference screening. …

2025-08-21 Faculty Senate Meeting Minutes (First Meeting Of The Adams Administration), Morehead State University. Faculty Senate.

Faculty Senate Records

Faculty Senate meeting minutes from August 21, 2025. The first meeting of Dr. Adams' administration.

Organizational Climate And Decision Aid Sustainability In Lupus Care: Mixed Methods Study, Aizhan Karabukayeva, Larry R Hearld, Nathan W Carroll, Reena Kelly, Jasvinder A Singh

Faculty, Staff and Students Publications

Background: Digital decision aids (DAs) are increasingly used in health care to support shared decision-making and promote patient engagement. In the context of systemic lupus erythematosus (SLE), a complex autoimmune disease characterized by diverse symptoms and uncertain prognoses, DAs offer guidance to patients in navigating treatment risks and benefits. Although numerous studies have examined the initial implementation of evidence-based tools, there is limited evidence on the organizational factors that influence their long-term sustainability in clinical practice. This gap is particularly salient for digital interventions, where integration into routine workflows and ongoing use require alignment with clinic readiness and culture. This …

Tense And Agreement Measures In Young African American English-Speaking Children, Kwaku Nyantakyi

LSU Doctoral Dissertations

The Tense Marker Total (TMT) and the Tense and Agreement Productivity (TAP) score are two ways of measuring children’s tense and agreement systems, and studies have shown that both measures track developmental growth across different ages in General American English (GAE)-speaking children. This dissertation examined the feasibility and validity of using these measures for children learning African American English (AAE).

The data were cross-sectional archival language samples from 38 AAE-speaking children who ranged in age from three to five years (11 at 3 years, 12 at 4 years, 15 at 5 years). The language samples were coded and scored for …

2025-08-21 Faculty Senate Newsletter, Morehead State University. Faculty Senate.

Faculty Senate Records

Faculty Senate newsletter from August 21, 2025.

Leveraging Sequences Missing From The Human Genome To Diagnose Cancer, Ilias Georgakopoulos-Soares, Christopher A Maher, Et Al.

2020-Current year OA Pubs

BACKGROUND: Cancer diagnosis using cell-free DNA (cfDNA) has the potential to improve treatment and survival but has several technical limitations.

METHODS: In this study, we developed a prediction model based on neomers, DNA sequences 13-17 nucleotides in length that are predominantly absent from the genomes of healthy individuals and are created by tumor-associated mutations.

RESULTS: We show that neomer-based classifiers can accurately detect cancer, including early stages, and distinguish subtypes and features. Analysis of 2577 cancer genomes from 21 cancer types shows that neomers can distinguish tumor types with higher accuracy than state-of-the-art methods. Generation and analysis of 465 cfDNA …

Automated Self-Improving And User-Responsive Video Chapter Generation Using Generative Artificial Intelligence, Ilia Labzovsky, Danny Karmon

Defensive Publications Series

Traditional video segmentation methods that offer limited granularity, static chapter structures. Such solutions lack deep semantic understanding and do not incorporate user interaction data for video segmentation, leading to inefficient information discovery and a poor user experience. This disclosure describes the use of generative artificial intelligence (genAI) to automatically create and dynamically refine smart chapters for long-form videos. These chapters are rich in detail, including titles, summaries, key concepts, and preview clips. With user permission, user interaction data can be used to dynamically adapt the chapter structure for individual viewers or the overall population. The techniques transform static videos into …

Efficient Photo Compression And Reconstruction Using Generative Artificial Intelligence, Amir Kamali, Hossein Talebi, Prachi Panpalia, Nick Torres

Defensive Publications Series

Storing high-resolution digital photos and video requires substantial storage space on a user device and/or a cloud-based image library. This disclosure describes the use of generative artificial intelligence to achieve storage savings via image downscaling with little or no perceptible impact. With user permission, a customized model such as a LoRA patch is trained based on images in the user’s library. Images in the library are stored as downscaled versions. When the user requires a high-resolution version, a generative artificial intelligence model, optionally with the customized LoRA patch, is used to generate the target resolution version from the downscaled image. …

Augmenting Photo Reminiscing Experiences With Llm-Generated Narrations, Ji Hun Kim, Abdulrahman Khan, Tommy Meaney, Tim Zhu, Zhou Zhou

Defensive Publications Series

This disclosure describes techniques that leverage a large language model (LLM) to generate custom narrations when arranging sets of photos in the form of a visual experience for users to reminisce on thereby personalizing and adding depth to the reminiscing experience. Per the techniques, a set of photos from a user’s photo library to be featured in a visual experience is identified. Photo pixels, metadata, and other relevant data are used to populate a prompt that is to an LLM. The response from the LLM is parsed and associated with photos to be featured in the visual experience. The LLM-generated …