Digital Commons Network^™

Mean Length Of Stay Based On Original, Financial, And Vision Workflows, Richard Wyatt

Walden Dissertations and Doctoral Studies

The healthcare industry faces a persistent challenge to balance financial, vision-based, and regulatory goals while maintaining the capacity to serve the public. Healthcare leaders need to understand the impact of using a particular type of workflow redesign to improve their ability to manage patient satisfaction, costs, and length of stay (LOS). Grounded in the Baldrige Excellence Framework, the purpose of this quantitative, quasi-experimental, comparative study was to compare runtime LOS across encounters for three workflows: original (WF-O), time/cost-based (WF-F), and vision-based (WF-V). The data set included 1 year of intensive care unit admissions from the Physio.Net database. ANOVA was conducted …

Curriculum Subcommittee Agenda April 2, 2026, Utah State University

Educational Policies Committee

• Approval of Minutes - March 5, 2026
• R401 - Program Proposals 
• Semester Course Approval Reviews
• Other Business
• Adjourn: 3:00 pm

Educational Policies Committee Agenda April 2, 2026, Utah State University

Educational Policies Committee

Approval of Minutes - March 5, 2026

Subcommittee Reports

• Curriculum Subcommittee
• Academic Standards Subcommittee
• General Education Subcommittee
• Center for Civic Excellence

Other Business 

Adjourn: 4:00 pm

A Qualitatively Driven Approach Integrated With Quantitative Analysis Applied To Decision Making In Institutional Administration Of Higher Education, Cristo Leon Ph.D., James Lipuma Ph.D., Michelle Kudelka

STEM for Success Resources

A qualitatively driven mixed methods study on decision-making in higher education administration. The article integrates Constructivist Grounded Theory, thematic analysis, participatory design, and quantitative dashboard analytics to examine interdisciplinary collaboration, institutional research management, and user-centered data visualization. It offers a practical framework for designing accessible and context-sensitive academic dashboards that support evidence-informed governance, resource allocation, and research strategy in universities

2026 April 2 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

April 2, 2026, The Daily Mississippian

Daily Mississippian (all digitized issues)

No abstract provided.

Asymmetrical S-Curve For Residual Load Sways Suppression For Double-Pendulum Rotary Crane Using Bayesian Optimization, Haryson Johanes Nyobuya

Tanzania Journal of Science

In rotary crane operations, one of the main difficulties lies in suppressing the load sway during its movement. This can be achieved using only horizontal boom motion, offering a solution that is energy-saving, simple, and safe. However, this approach renders the system under actuated, making the suppression objective more difficult to achieve. In this study, a double-pendulum model is adopted to capture the coupled dynamics of the suspended load and hook, which shows a realistic basis for sway suppression. An asymmetric S-curve velocity trajectory is proposed to shape the horizontal boom motion, effectively minimizing residual vibrations without requiring direct sway …

Empirical Benchmarks For Interpreting Effect Sizes In Violent Crime Interventions, Kohta James Matsukawa Hansen

Theses and Dissertations

Criminal justice researchers apply Cohen’s (1988) benchmarks to classify effect sizes as small, medium, or large, despite these standards never being meant for broad, decontextualized use (Cohen, 1988; Gies et al., 2024; Goulet-Pelletier & Cousineau, 2018; Lakens, 2013; Milner et al., 2023). Repeatedly doing so may weaken statistical validity, distort findings, and impede effective policymaking. This study introduces the first effect size benchmarks specifically designed for violent crime interventions.

Using a quasi-meta-analysis framework, 1,605 effect sizes from 104 violent crime intervention studies from the CrimeSolutions clearinghouse were converted to Cohen’s d. Three new discrete benchmarking methods were created using a …

Continental Rift Evolution Under Time-Varying Plate Boundary Forces And Mantle Plumes: A Numerical Study, Kuruvitage Chameera Chathuranga Silva

Electronic Theses and Dissertations Archive

Continental rift evolution emerges from the dynamic interaction among far-field tectonic forces, mantle processes, and lithospheric rheology. Variations in plate-scale stress transmission and thermomechanical perturbations associated with mantle upwelling exert first-order control on strain localization, crustal thinning, and the transition toward continental breakup or rift failure. Allowing plate motion to emerge from internal force balance, rather than prescribing kinematic boundary conditions, provides a physically consistent framework for investigating these interactions. Time-dependent changes in far-field driving stresses and mantle plume activity can modify the mechanical state of the lithosphere and extension velocities, influencing whether a rift matures into a plate boundary …

Effects Of Personalization On Student Retention In Online Data Science Learning, Farshid Farzan

Electronic Theses and Dissertations Archive

The present study examined whether static personalization strategies can reduce dropout in short-duration online data science learning. Using a 2 × 2 factorial design, 98 undergraduate participants completed an online learning activity that either (a) aligned instructional materials with their learning preference (sequential vs. global) or (b) included a personalized non-interactive pedagogical agent. Retention was operationalized dichotomously (completion vs. dropout). Logistic regression analyses indicated that learning preference personalization significantly increased the odds of completion, whereas the pedagogical agent alone did not show a reliable main effect. However, the interaction between learning preference personalization and agent presence was statistically significant, suggesting …

Everyday Tracking And Extraordinary Harm: Item Finder Misuse In Digital Coercive Control, Vivian Hocking, Shirley Atkinson, Hai-Van Dang, Nathan Clarke

School of Engineering, Computing and Mathematics

PurposeWhere one in three women worldwide experience some form of intimate partner violence, the rise of technology facilitated abuse means that abusers have increased access and control over their victims. This extension paper aims to examine the threat potential for technology misuse as pertains to item finder devices that make up part of the Internet-of-Things. Item finders have increasingly become the weapon of choice for abusers leveraging technological advantages against their victims.Design/methodology/approachThis study uses a mixed-methods approach, combining digital ethnography with 12 individuals engaged in a participant study to evaluate the misuse potential of Apple AirTag, Chipolo …

Exploring The Well-Being Of Students: Mental Health Symptoms And Help-Seeking In Students With And Without Disabilities, Delaney M. Havrylkoff

LSU Master's Theses

Students with learning-related disabilities (LRDs) are a growing population in schools worthy of more holistic attention. This vulnerable population often receives support for their academic needs, while their mental health needs tend to get overlooked or untreated. Students with LRDs often face more negative experiences (e.g., lower academic performance, bullying, and peer victimization) in school compared to their peers without disabilities. As a result, they may experience higher levels of mental health issues. The purpose of this study was to examine the mental health status and service utilization of students with LRDs in schools compared to their peers without disabilities. …

Quantitative Analysis Of Cholera Dynamics And The Impact Of Integrated Control Measures., Kazeem Abidoye Odeyemi, Mutairu Kayode Kolawole

Tanzania Journal of Science

A comprehensive mathematical evaluation of cholera dynamics, emphasizing the crucial role of optimal control strategies which include vaccination, treatment in endemic region and environmental hygiene in controlling the disease spread in Western and Mid-Eastern regions of African setting. Through analysis of the local and global stability of the model and assessing the reproduction number (��0), this research highlights how targeted interventions can influence transmission rates of cholera disease. Sensitivity analysis identifies key parameters driving cholera dynamics, underlining the urgency of timely and adequate intervention. Utilizing the innovative Homotopy Perturbation Method for the numerical simulation, the study explores the interplay between …

Theory And Applications Of Natural And Nature-Based Solutions In Estuarine Environments, Elizabeth L. Royer

USF Tampa Graduate Theses and Dissertations

This dissertation focuses on the theory and application of Nature-based Solutions (NbS), through three unique case studies. This study explores how the broad and interdisciplinary NbS framework can be applied to mitigate common coastal hazards. This framework considers the environment, economics, and social wellbeing, equally in the design and implementation of a solution. The current paradigm, working against nature, which is commonly seen in more passive approaches to hazard mitigation, like grey infrastructure (e.g. a seawall to protect a shoreline against wave action) does not accommodate the extremely dynamic environment. As perspectives shift to “working with nature” NbS can be …

Symmetry-Aware Optimization Framework For Network Topology And Collective Algorithm Co-Design, N/A

Defensive Publications Series

The technology relates to a software framework providing for the simultaneous co-design of network topologies and collective communication algorithms in distributed computing environments. The software framework utilizes a graph-theory-based model to represent computing nodes and physical communication links, encoding hardware and software parameters into a solver-readable mathematical formulation. By applying combinatorial optimization solvers, the software framework identifies highly efficient physical cabling schemas and corresponding algorithmic routing schedules. To handle highly complex search spaces, the approach leverages graph automorphisms and symmetries in collective operations to significantly reduce the combinatorial search space. This enables the generation of tailored interconnect architectures and message-passing …

Photogrammetric Analysis Of Porites Lobata And Pocillopora Spp. Live Coral Cover At Devil's Crown, Galapagos Islands, Ecuador, Katherine Whitehouse, Preston Toutant

Undergraduate Student Symposium

Porites lobata and Pocillopora spp. are predominant scleractinian corals at Devil's Crown, Galápagos Islands, Ecuador that have been monitored for 48 years. Fluctuations in colony abundance and live tissue surface area of both taxa are associated with environmental variability driven by El Niño-Southern Oscillation. To better quantify colony number and live tissue cover of the two taxa, photogrammetry was utilized during a research expedition in May 2025. Two GoPro cameras were used during snorkel transects in the northwest (Porites) and northeast (Pocillopora) sectors of the shallow (2-3 m depth), elliptical submerged caldera to produce overlapping digital …

The Hidden Map Of Women's Health: Predictors And Protectors Across Our Lives, Tasfia Howlader

Undergraduate Student Symposium

Women's health has constantly been changing-from public health infrastructure to health policies, and even medical advancements. Yet, the struggles are persistent within the gaps present in women's health. The Socio-Ecological Model (SEM) explains interactions between different levels of relationships, which result in health outcomes that vary from individual factors to environmental factors. Applying the SEM to describe health disparities can help explain how the relationships an individual has influenced their health. This project serves to exemplify these different levels while discussing the tailoring of services to the needs and the importance of populations based on their experiences. Specifically, adhering to …

Parental Perceptions About Crispr And Other Biological Treatments For Fragile X Syndrome Compared With Sickle Cell Disease (2000-2025): Systematic Review Protocol, Ethan Hunter, Lukah Varghese, Mohit Belur, Prathiv Raj Ramesh Babu

Undergraduate Student Symposium

Fragile X Syndrome (FXS) is a genetic condition associated with intellectual disability, while Sickle Cell Disease (SCD) comprises inherited red blood cell disorders. Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) gene-editing therapies are currently being implemented for SCD but remain experimental for FXS. Understanding caregiver perspectives on CRISPR-based therapies is crucial because families play a central role in weighing risks/benefits during treatment decision-making. Synthesizing evidence on caregiver attitudes toward CRISPR-based therapies for FXS and SCD can help determine if perceptions observed with SCD can inform expectations for FXS. This systematic review will include qualitative, quantitative, and mixed-methods studies published between …

Predicting Alzheimer's Disease Via Machine Learning Through Adni Data, Sahana Reddy

Undergraduate Student Symposium

Alzheimer's disease (AD) is a progressive neurodegenerative disease. Since the neurological pathology, including protein deposits and neurodegeneration, starts a decade before cognitive, memory, and behavioral symptoms, AD development should be predictable from physical biomarkers. This study investigates how patients' memory and cortical brain thickness at baseline can predict their likelihood of developing AD through supervised machine learning. From baseline visits, 205 participants' data were extracted from the ADNI database, all designated as healthy control in the first visit, but some converted to AD or Mild cognitive impairment (MCI) in later visits (Group 2), and some remained healthy (Group 1). The …

Creatine: More Than Just A Gym Bro Supplement? An Evidence-Based Review Of The Safety And Efficacy Of Creatine Monohydrate Supplementation, Lara Kotak

Undergraduate Student Symposium

Creatine monohydrate (CrM) is an extensively researched supplement that has been used to enhance athlete performance, muscle mass, recovery, and even improve health span beyond athletes. Despite the plethora of reasearch supporting creatine supplementation at recommended dosages, misconceptions and further questions regarding its safety and effectiveness remain. Examples of existing concerns include the potential effects of creatine on hydration levels, renal and liver function, fat mass, hair loss, muscle cramping, and fertility. Additionally, there are questions regarding the safety and effectiveness of creatine across populations of such as children, adolescents, females, older adults, and pregnant individuals. Furthermore, inquiry about the …

Time-Dependent Modulation Of Isr And Upr In Glioblastoma Stem Cells Using A Curcumin-Inspired Bis-Chalcone Analog, Abby Morrill, Carleigh Miller

Undergraduate Student Symposium

Glioblastoma (GBM) is an aggressive brain tumor driven by therapy-resistant GBM stem cells (GSCs). GSC's rely on adaptive stress pathways like the Integrated Stress Response (ISR) and Unfolded Protein Response (UPR). Curcumin modulates these pathways but has poor bioavailability. We developed curcumin-inspired bis-clacone analogs with improved potency and selectivity against GSCs and tested efficiency using a time-course study. A series of bis-chalcone analogs were synthesized and tested against three patient-derived GSC lines using MTS assay (0.1-10 μM, 72 h). A lead derivative compound compatible with carbon dot nanoparticle conjugation was synthesized and evaluated for mechanistic consistency and GSC cytotoxicity. ISR/UPR …

Evaluation Of The Use Of Longitudinal Data For Depression Research And Antidepressant Drug Discovery, Rojie Ekanayake, Niousha Mousavi

Undergraduate Student Symposium

Depression is one of the most prevalent mental health disorders, affecting over 280 million people globally. Diagnosis of depression remains limited, and treatment is complicated due to the subjectivity of using psychometric scales for diagnosis. This has created a need for more objective methods for the diagnosis of depression and the assessment of the outcome of various treatment/management methods. These methods should consider a holistic approach encompassing biochemical, mental, and socioeconomic factors of patients. Longitudinal datasets, in the age of AI, offer an unprecedented opportunity for such an approach. Thus, it is hypothesized that the application of machine learning to …

Investigating Oct3-Mediated Buprenorphine Transport As A Mechanism For Salivary Accumulation And Oral Toxicity, Laasya Vemparala, Veda Pesala, Sydni Gunpath, Mehtab Singh

Undergraduate Student Symposium

In this study we prepared a 3D printed model to better understand OCT3-mediated buprenorphine transport. Buprenorphine is a high affinity partial agonist at the mu-opioid receptor (μ-OR) and main component of Suboxone. It has a unique pharmacological profile that makes it effective for treating both pain and opioid use disorder (OUD) but has been linked to oral health issues such as dry-mouth and tooth decay. The exceptionally tight binding of suboxone to μ-OR allows for sustained receptor occupancy and reduced opioid misuse potential by patients. Recent evidence suggests that the Organic Cation Transporter 3 (OCT3), a membrane transporter expressed in …

Comparative Evaluation Of Artificial Intelligence (Ai) Implications For Active Learning And Assessment In Global Stem And Health Sciences, Vinay Munlapudi

Undergraduate Student Symposium

Today's all-pervasive emergence of Artificial intelligence (AI) necessitates a comprehensive evaluation of its role in education, especially for occupational disciplines in healthcare and STEM. AI has reshaped student learning and instructors' navigation of the evolving, post COVID-19 global academic landscape. This study aimed at encapsulating evidence-based AI implications for student-centered, active learning and assessment of STEM and health-science education in developed countries versus underprivileged communities. An exploratory, scoping review of 50 recent, scholarly journal-publications was conducted over six months through diverse search engines (Pub-Med, Google Scholar, and library databases) using keywords such as "Active learning with AI" and "Assessment of …

Marine Biodiversity Monitoring And Community Engagement On The Boulder Reefs Of Peanut Island, Sophia Oliveira, Luke Mckeon, Josie Larson, Raymond Hernandez, Triumph Perry, Lianna Rasimowicz

Undergraduate Student Symposium

Artificial boulder reefs were constructed along the shoreline of Peanut Island in Palm Beach County, Florida to enhance habitat complexity and provide a safe, accessible snorkeling experience for the island's many visitors. These nine boulder reefs support a diverse assemblage of marine organisms and offer an ideal setting for ecological monitoring. This project documents the fish, invertebrate, and coral species that utilize these structures and provides the public with accurate, easily accessible information about the organisms they may encounter while snorkeling. Monthly GoPro surveys employing a roving fish sampling technique were conducted on each reef to record new species observations …

From Bedtime To Bacteria: A Sleep Extension Pilot Study Revealing Gut-Linked Pathways, Maya Totev

Undergraduate Student Symposium

While the gut contains trillions of bacteria that influence the immune, nervous, and endocrine systems, its implications in health interventions and wellness are often underappreciated. Lifestyle factors, including sleep duration and quality, influence gut microbiome composition and are linked to adverse health outcomes. While sleep extension is known to benefit health, emerging evidence suggests the gut microbiome and inflammatory pathways may help clarify these underlying mechanisms. This pilot study examined the effects of a two-week sleep extension on the gut microbiome composition in healthy adult females as part of a larger investigation of sleep, stress, and systemic inflammation. Participants completed …

Integrating Domain Knowledge And Machine Learning In Rice Cultivation: A Case Study Of Algeria, Sara Faruqui, Jane Krivosheev, Jenna Handal

Undergraduate Student Symposium

Research has highlighted Artificial Intelligence (AI) as a promising solution to mitigate the threat of food insecurity. Rice, a staple in the global diet, is particularly vulnerable to heat stress caused by climate change. The challenges of climate change, population growth, and increased famine risk may be alleviated through the implementation of AI models in rice cultivation. For decades, agricultural workers have faced the dilemma of needing to increase crop yields while dealing with dwindling resources and the need for more efficient practices. AI models, however, are limited by the quality and scope of the data they receive. Integrating domain …

The Association Between Ultra-Processed Foods And Inadequate Sleep In Us Adults From Nhanes, 2005-2018, Seema Rajper

Undergraduate Student Symposium

Ultra-processed food (UPF), rich in sugar and fat, could affect sleep quality due to inflammation and hormonal imbalance. However, the population level data is scarce, and the findings are mixed, especially in adult populations. We examined associations between UPF consumption and odds of inadequate sleep (characterized by sleep difficulty and/or inadequate sleep duration: short sleep (<7h) or long sleep (≥9 hours)) among U.S. non-pregnant, non-lactating adults using National Health and Nutrition Examination Survey (NHANES) with a 14-year span. We assessed 33,156 adults (aged ≥ 20 y) using up to two 24-hour diet recalls from the NHANES (2005 to 2018). UPF intake was calculated using the NOVA classification system, and inadequate sleep (specifically sleep difficulty, short sleep, long sleep) was ascertained from the self-reported sleep disorder survey. Odds of inadequate sleep (aORs) were compared across the quartile intakes of UPF using population weights-adjusted multivariable general logistic regression. Of the 33,156 adult participants, 34.9% had short sleep (n=11,576), 11.9% had long sleep (n-3,937), and 24.7% had sleep difficulty (n=8,199). We also found that the highest quartile of UPF, relative to the lowest quartile, is significantly associated with 23% increased odds of short sleep (aOR=1.23, 95% CI: 1.07-1.41; p=0.023), after adjusting for all covariates. The dose-response relationships between higher UPF intake and higher risk of short or long sleep were determined, respectively (both p <0.05). However, no association was found with sleep difficulty (aOR = 1.09, 95% CI: 0.95-1.26; p =0.6185). We found the dose-response relationship between higher UPF intakes and higher risk for inadequat sleep …

Molecular Consequences Of Pcos-Linked Aromatase Variants: Structural Modeling And Inhibitor Docking, Kiran Sajnani, Bharath Kumar Reddy Burry, Yuktha Milukuri, Preya Patel

Undergraduate Student Symposium

Polycystic ovary syndrome (PCOS) affects approximately 10% of reproductive-age women and involves hormonal imbalance partly driven by impaired estrogen synthesis. Aromatase (CYP19A1) catalyzes conversion of testosterone and androstenedione to estrogen, but structural consequences of PCOS-associated variants remain unclear. We investifated Val161Asp (V161D), a PCOS-linked substitution that replaces a nonpolar valine with a negatively charged aspartate in a hydrophobic helical region. Using the wild-type structure (PDB 3EQM), we generated a 3D-printed model highlighting the mutation and key catalytic features (heme, substrate-binding channel, conserved monooxygenase motifs). We then produced an AlphaFold V161D model and compared it with wild type in Jmol to …

Direct Energy Cascade Of 2d Quantum Turbulence In Supersolids, Lukas Farthing

Miners Solving for Tomorrow Research Conference

The non-equilibrium turbulent response of periodically driven three-dimensional ultracold dipolar gases is induced by an external time-dependent ring potential. To model this system and monitor its non-equilibrium quantum dynamics, we invoke an extended Gross-Pitaevskii framework containing the first-order quantum correction to the mean-field energy functional. The shape of the external perturbing potential is chosen to trigger angular roton excitations, driving the supersolid configuration out of equilibrium and attaining a turbulent state. Following the generation of shallow vortical defects in the bulk, a direct cascade front manifests, transporting energy from larger to smaller length scales. This leads to a non-equilibrium quasi-steady …