Digital Commons Network^™

Tree Recovery By Dynamic Programming, Gustavo Alberto Gratacos

McKelvey School of Engineering Graduate Student Theses & Dissertations

Tree-like structures are common, naturally occurring objects that are of interest to many fields of study, such as plant science and biomedicine. Analysis of these structures is typically based on skeletons extracted from captured data, which often contain spurious segments or cycles that need to be removed. We propose a dynamic programming algorithm which seeks to recover directed trees from these noisy skeletons. Our method recovers trees by removing edges and duplicating nodes while adhering to edge-label constraints. Our algorithm proceeds by iteratively merging graph nodes, such that the solution on the original graph can be obtained from those on …

Structural Dynamics Of The Human Brain In Vivo From Tagged Mri And Mr Elastography, Jordan De Niro Escarcega

McKelvey School of Engineering Graduate Student Theses & Dissertations

The underlying mechanics surrounding vulnerability of human brains in response to impact is critical to our ability to diagnose and treat traumatic brain injury (TBI), but our understanding of brain mechanical behavior is incomplete. Tagged MRI (tMRI) and magnetic resonance elastography (MRE) are two imaging techniques that are used to visualize and quantify deformation fields in human brains in vivo. The objective of this thesis is to gain a better understanding of brain vulnerability, by quantitively analyzing deformation fields extracted from in vivo human imaging studies. This was achieved through the following aims: (1) Extract mode shapes and natural frequencies …

After Further Review: Whether The College Football Playoff Falls Short Of The Antitrust Marker, Jude D. Schmit

Denver Sports & Entertainment Law Journal

No abstract provided.

Computationally Assessing Suspicion, Wesley M. Oliver, Morgan A. Gray, Jaromir Savelka, Kevin D. Ashley

University of Cincinnati Law Review

Law enforcement officers performing drug interdiction on interstate highways have to decide nearly every day whether there is reasonable suspicion to detain motorists until a trained dog can sniff for the presence of drugs. The officers’ assessments are often wrong, however, and lead to unnecessary detentions of innocent persons and the suppression of drugs found on guilty ones. We propose a computational method of evaluating suspicion in these encounters and offer experimental results from early efforts demonstrating its feasibility. With the assistance of large language and predictive machine learning models, it appears that judges, advocates, and even police officers could …

Privileged To Call Her A Friend: A Tribute To Marjorie Corman Aaron, Dwight Golann

University of Cincinnati Law Review

No abstract provided.

Improving Awareness And Utilization Of Safety Net Resources After Extremity Firearm Injury, Colleen M. Moreland, Caleb W. Grote, Richard M. Schwend, Julia G. Harris

Research Days

The orthopaedic surgery department can improve follow-on care for pediatric survivors of extremity firearm injuries by creating and implementing a checklist of defined safety net resources.

A Quality Improvement Project To Improve Antibiotic Choice For Children Admitted With Urinary Tract Infections (Utis), Philip Jurasinski Do, Pgy-3, Adrienne Deporre Md, Kathleen Berg Md, Allison Hadley Md, Viktoriya Stoycheva Mha, Rn, Cpn, Rana El Feghaly Md

Research Days

This is an antibiotic stewardship quality improvement project focused on improving antibiotic choices for children with urinary tract infections who are in the Children's Mercy Kansas City system. This project aims to improve the rates of cefazolin or cephalexin for treatment from 27% to 60%. 96% of urinary tract infections in our system are caused by E. Coli that are susceptible to these first generation cephalosporins.

More Of Less: Optimizing Opioid Prescriptions For Acute Fractures In The Emergency Department At A Children’S Hospital, Colton Schwarz, Spencer Wittmeyer, Mitch Kinkor, Michelle Dephillips, Elizabeth Edmundson, Ryan Mcdonough, Warren Teachout, Nicholas Clark

Research Days

Quality improvement project that aims to improve opioid stewardship in acute fracture management.

Characterization Of Nationally Reported Pediatric Deaths Involving Fentanyl Ingestions In Missouri, Margaret Campbell, Mary Moffatt, Emily Killough, Terra Frazier

Research Days

There has been a dramatic rise in pediatric deaths associated with synthetic opioid use, with the most prominent being Fentanyl. This is a retrospective cohort study using data from the National Center for Fatality Review and Prevention with the goal of identifying risk factors that increase the vulnerability of children to Fentanyl ingestion. Ultimately this research may help lead to improved identification of at risk children with the goal of implementation of targeted prevention programming.

How Neonates Die: Mortality Trends And Associations In A Level Iv Neonatal Intensive Care Unit, Erin Bolen, Ashley K. Sherman, Julie Weiner, Jotishna Sharma

Research Days

Background

Modes of neonatal mortality include withdrawal of life-sustaining interventions, non-escalation of interventions, and secondary to a code event. Mortality trends have been examined broadly, but the impact of clinical and demographic factors on the mode of neonatal mortality has yet to be evaluated. A greater understanding of this information would help guide medical decision-making and identify potential inequities. The aim is to evaluate the impact of clinical and demographic factors on the mode of neonatal death in a level IV neonatal intensive care unit (NICU).

Study Design/Methods

Data were collected via retrospective chart review of patients who died at …

Understanding Inpatient Diagnostic Imaging Use In Children’S Hospitals To Prioritize Stewardship Efforts, Megan E. Collins, Matt Hall, John Stephens, Jessica L. Markham

Research Days

We utilized the Pediatric Health Information System to perform a retrospective cohort study of hospitalized children across 45 hospitals to describe diagnostic imaging studies among hospitalized children with the highest prevalence, cost, rates of repetition, and hospital variation to help inform de-implementation efforts.

Exploring Neural Networks For Breast Cancer Tissue Classification, Stephen Jacobs, Md Abdullah Al Hafiz Khan

Symposium of Student Scholars

Last year, more than 240 thousand women in the United States were diagnosed with breast cancer. These patients are benefitting from decades of data that have been collected by cancer research institutions around the world. Tissue samples are analyzed and cataloged by these institutions, and several facilities like the University of Wisconsin are sharing this historical data to promote the advancement of new cancer treatments. Deep learning and neural network models are being built for this data to help doctors diagnose faster and design treatment options for patients by comparing their tissue samples with these historical datasets. We will use …

How Do We Get These Kids Reading? Supporting Readerly Identity In Secondary English Classrooms, Jenelle Williams, Jay Haffner

Michigan Reading Journal

In this article, we aim to clarify the specialized purposes for reading in secondary English language arts (ELA) classes. We will suggest ways ELA teachers can help build (or repair) students’ readerly identities while also ensuring they graduate with the necessary skill sets to transfer their knowledge into further studies, careers, and lifelong pleasure reading.

Blended Genres: Pairing Picturebooks And Poems Across The Curriculum, William P. Bintz

Michigan Reading Journal

Abstract

This article reports on an action research project conducted by a teacher educator in literacy education as part of a graduate course entitled Reading and Writing across the Content Areas. The purpose of the project was to actively engage graduate students, all of whom were pre-service and in-service teachers, in a course-related project in which students developed and implemented blended genres across the curriculum. It begins by situating blended genres within the traditional notion of paired text as a curricular resource and instructional strategy to support the process of intertextuality. It provides a brief overview of the course-related …

Cas Connections- 2024 Spring Term - May, Dean's Office College Of Arts And Science

CAS Connections

No abstract provided.

Avoiding Pitfalls In Molecular Simulation Of Vapor Sorption: Example Of Propane And Isobutane In Metal–Organic Frameworks For Adsorption Cooling Applications, Filip Formalik, Haoyuan Chen, Randall Q. Snurr

Physics & Astronomy Faculty Publications

This study introduces recommendations for conducting molecular simulations of vapor adsorption, with an emphasis on enhancing the accuracy, reproducibility, and comparability of results. The first aspect we address is consistency in the implementation of some details of typical molecular models, including tail corrections and cutoff distances, due to their significant influence on generated data. We highlight the importance of explicitly calculating the saturation pressures at relevant temperatures using methods such as Gibbs ensemble Monte Carlo simulations and illustrate some pitfalls in extrapolating saturation pressures using this method. For grand canonical Monte Carlo (GCMC) simulations, the input fugacity is usually calculated …

Effects Of Ti Addition On The Characteristics Of Al-10zn-6mg-2si/Zro2 Composites Produced By Squeeze Casting, Qesha Diva Prameshvara, Pipin Indah Lestari, Bondan Tiara Sofyan

Journal of Materials Exploration and Findings

Metal matrix composite (MMC) with 7xxx aluminum matrix is potential for ballistic applications due to the combination of strength, toughness, and light weight. Previous study successfully produced aluminum-based composites with SiC particles which were able to stop type III bullet, however cracks remained on back of the plate. Therefore, in this research, SiC was replaced by zirconia (ZrO₂) due to its high fracture toughness. Ti-B grain refiner was added to further improve toughness through grain boundary strengthening mechanism. This research developed 5 vol.% ZrO₂ strengthened Al-10Zn-6Mg-2Si composite with addition of Al-5Ti-1B grain refiner produced through squeeze casting …

Integration Of The Ashby Technique And Pahl-Beitz Quantitative Ranking For Railway Axle Material Selection, Helya Chafshoh Nafisah, Jaka Fajar Fatriansyah, Siti Norasmah Surip

Journal of Materials Exploration and Findings

Railway axle serves as a vital connection between the train's wheels and its body. However, cyclic loading and high speed can induce fatigue in railway axle, which potentially leads to damage human safety. Therefore, it is important to find materials that have good mechanical properties with the lowest weight and cost. In this paper, a comprehensive method using Ashby chart has been performed to select candidate materials of railway axle. The methods begin with analyzing function by determining the problem, objective function, and constraints. After that, the results obtained are ranked using Pahl and Beitz quantitative weighting method. The results …

Analysis Of The Effect Of Different Surface Preparation Methods On Corrosion Resistance And Adhesion Strength Of Astm A36 Steel Substrate With Surface Tolerant Epoxy Paint As Coating Material, Irwan Wijaya Santoso, Daffa Aqila, Rini Riastuti, Rizal Tresna Ramadhani

Journal of Materials Exploration and Findings

In the industrial world, to extend the service life of materials, protection methods are carried out to slow down the material's corrosion rate. The protection method that is often used is the coating method. The coating method is a protection method by coating the substrate material using a coating material to prevent contact between the substrate material and the environment. In this research, the substrate material used is ASTM A36 steel and the coating material used is Surface Tolerant Epoxy paint. The independent variable used in this study lies in the surface preparation method which consists of: solvent cleaning, hand …

Usa V. Taikwan Pritchett

2024 Decisions

USDC for the District of Delaware

Evaluating On-Screen Edit Checks For Improving The Quality Of Healthcare Data, Emel Seker

Theses and Dissertations

This study investigates the impact of on-screen edit checks (OSECs) on reducing data entry errors in Electronic Data Capture (EDC) systems, addressing a gap in existing literature on the efficacy of OSECs. Employing a crossover experimental design, the research utilizes deidentified neonatal opioid withdrawal data from the ACT NOW CE study. Twenty participants were divided into two arms to enter data into an electronic case report form (eCRF): one arm began with OSECs enabled and the other without and transitioned to the opposite halfway through. Each participant processed 20 cases, yielding a total of 130,815 data points across 285 questions …

Impacts Of El Niño On The Florida Reef: A Case Study Of The 2016 El Niño Event, Evvie Yendra

Department of Environmental Studies: Undergraduate Student Theses

Coral reefs are vital ecosystems to coastal communities and the world’s oceans. They support other organisms, protect shorelines, and benefit coastal economies through fishing and recreation. Today, coral reefs face many threats, including ocean acidification, bleaching due to increased ocean temperatures, and disease. These threats are typically heightened during El Niño events across the globe. With a focus on the Florida Reef, these data encompass three key regions (Southeastern Florida, The Florida Keys, and Dry Tortugas) over the years 2014, 2016 (an El Niño event), and 2018. As 2024 is interpreted to be an El Niño year, this study predicts …

Strongly Stated And Loosely Held: Examining Stewart Brand's Role In The Ecomodernist Project, Liam J. Baker

Department of Environmental Studies: Undergraduate Student Theses

With the ecomodernist environmental perspective emerging in the wake of the 2015 publication of An Ecomodernist Manifesto, many researchers have sought to critique the ecomodernists and their theories of separating humanity from nature, intensifying agriculture, expanding energy production, and relying on technology to resolve the environmental challenges of the 21st century. In this paper, I add to these critiques by examining the history of Stewart Brand, one of the coauthors of An Ecomodernist Manifesto, to highlight connections between his personal environmental perspective, his material impacts, and the ecomodernist project as a whole. By analyzing the discourse produced by and about …

Decentralisation Of Drone Authentication Within Iod Networks., Jarryd Tayler Brits

Theses

The applications of drones have become increasingly more versatile, with their popularity also increasing rapidly in the last decade. These applications span from entertainment within civilian markets to more military-based applications, including private security firms. However, with this rise in use, the security risks involved have also increased drastically, predominantly in a drone’s lack of ability to authenticate surrounding drones efficiently and securely without the aid of a third party. Although there have been copious amounts of research to support drone authentication, they predominantly rely on a single source of truth, such as a ground station server (GCS), which presents …

Toward Intuitive 3d Interactions In Virtual Reality: A Deep Learning- Based Dual-Hand Gesture Recognition Approach, Trudi Di Qi, Franceli L. Cibrian, Meghna Raswan, Tyler Kay, Hector M. Camarillo-Abad, Yuxin Wen

Engineering Faculty Articles and Research

Dual-hand gesture recognition is crucial for intuitive 3D interactions in virtual reality (VR), allowing the user to interact with virtual objects naturally through gestures using both handheld controllers. While deep learning and sensor-based technology have proven effective in recognizing single-hand gestures for 3D interactions, research on dual-hand gesture recognition for VR interactions is still underexplored. In this work, we introduce CWT-CNN-TCN, a novel deep learning model that combines a 2D Convolution Neural Network (CNN) with Continuous Wavelet Transformation (CWT) and a Temporal Convolution Network (TCN). This model can simultaneously extract features from the time-frequency domain and capture long-term dependencies using …

05.13.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Distinguished Research and Creative Achievement Award, Center for Practical Ethics, DARPA Connect, Air Force Internship

Landscape Influences On Thermal Sensitivity And Predicted Spatial Variability Among Brook Trout Streams In The Southeastern Usa, George P. Valentine, Xinyi Lu, C. Andrew Dolloff, Craig N. Roghair, Jacob M. Rash, Mevin B. Hooten, Yoichiro Kanno

Mathematics and Statistics Faculty Publications

Warming water temperatures as a result of climate change pose a major threat to coldwater organisms. However, the rate of warming is not spatially uniform due to surface-ground-water interactions and stream and watershed characteristics. Coldwater habitats that are most resistant to warming serve as thermal refugia and identifying their locations is critical to regional aquatic conservation planning. We quantified the thermal sensitivity of 203 streams providing current and potential habitat for brook trout (Salvelinus fontinalis) across nearly 1000 linear km of their native range in the southern and central Appalachian Mountains region, USA, and characterized their spatial variability …

Unrestricted Versus Regulated Open Data Governance: A Bibliometric Comparison Of Sars-Cov-2 Nucleotide Sequence Databases, Nathanael Sheehan, Federico Botta, Sabina Leonelli

Copyright, Fair Use, Scholarly Communication, etc.

Two distinct modes of data governance have emerged in accessing and reusing viral data pertaining to COVID-19: an unrestricted model, espoused by data repositories part of the International Nucleotide Sequence Database Collaboration and a regulated model promoted by the Global Initiative on Sharing All Influenza data. In this paper, we focus on publications mentioning either infrastructure in the period between January 2020 and January 2023, thus capturing a period of acute response to the COVID-19 pandemic. Through a variety of bibliometric and network science methods, we compare the extent to which either data infrastructure facilitated collaboration from different countries around …

A Correlational Study Of Technical And Social Factors That Affect Agile Software Project Success, Christopher Joel Fry

Walden Dissertations and Doctoral Studies

Agile software development team composition can lead to budgetary and timeline overruns, ultimately affecting software development project success. IT leaders and software development project managers must identify the critical success factors that affect agile software development project success, as unsuccessful project outcomes can make an organization seem inefficient and incapable by stakeholders. Grounded in the critical success factors theory, the purpose of this quantitative, correlational study was to examine the relationship between software development team size, experience, the level of effort estimation accuracy, and agile software development project success. Survey data (N = 61) were collected from software development project …

Building A Data Pipeline And Machine Learning Model For Insurance Data, Connor Weyers

Honors Program: Senior Projects (Public)

Insurance telematics is an emerging and exciting field. It combines the advancements in GPS tracking, computational analytics, data processing, and machine learning into a useful tool to help insurance companies make the best product for their consumers. This is why National Indemnity looked to implement a telematics portion to their business processes of underwriting insurance policies and sponsored a School of Computing Senior Design project. In this report, we will first review existing solutions that been used to solve problems and subproblems similar to that we are given in this project. We then propose designs for the data pipeline and …