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Final Scholarly Project: Implementation Guidelines Of Ultrasound-Guided Regional Anesthesia In Pediatric Cardiac Surgical Patients, Matthew Hall

Doctor of Nursing Practice Scholarly Projects

In the United States, around 40,000 surgeries are conducted on pediatric patients yearly to address congenital heart disease. These surgeries involve a variety of complications beyond cardiovascular problems, including pain management. Traditional pain management involving intravenous opioids has drawbacks such as sedation, respiratory depression, and prolonged recovery times. As the healthcare industry moves away from opioid-centric pain management, the use of multimodal analgesia, including ultrasound-guided regional anesthesia, is being utilized. Regional anesthesia techniques, such as the transversus thoracis muscle plane block and the thoracic erector spinae block, are being considered for the ability to provide adequate pain relief while reducing …

An Ecology Against The Right. Learning Uncertainty And Humility From Ecosystems, Pierre L. Ibisch, Mona Eikel-Pohen, Elias Iceman, Jake Snelling

Languages, Literatures, and Linguistics - All Scholarship

This article is a translation from the German to English. The title of the original is:

Ibisch, P.L. (2020): Eine Ökologie gegen rechts. Von Ökosystemen Unsicherheit und Demut lernen. In: Leitschuh, H., A. Brunnengräber, P.L. Ibisch, R. Loske, M. Müller, J. Sommer & E.-U. v. Weizsäcker (eds. J. Sommer, P.L. Ibisch, A. Brunnengräber): Ökologie und Heimat. Jahrbuch Ökologie 2021. Hirzel-Verlag, Stuttgart, 191-205.

The Bison, April 12, 2024

The Bison Newspapers

No abstract provided.

An Examination Of The Big Five, Mental Illness Stigma, And Crisis Intervention Training, Trista Wolfgram

Theses and Graduate Projects

The number of individuals incarcerated with mental illness continues to grow, and correctional officers may play a critical role in rehabilitation. A correlation analysis was conducted between Big Five personality traits and mental illness stigma to determine whether there is a significant relationship in a sample of state correctional officers who participated in Crisis Intervention Training. A mixed model ANOVA was also conducted to assess whether personality traits impacted levels of mental illness stigma following completion of the training. A moderate negative correlation was found between agreeableness and mental illness stigma. All other findings were not clinically significant, potentially due …

What Students Have To Say On Data Privacy For Educational Technology, Stephanie Choi

Cybersecurity Undergraduate Research Showcase

The literature on data privacy in terms of educational technology is a growing area of study. The perspective of educators has been captured extensively. However, the literature on students’ perspectives is missing, which is what we explore in this paper. We use a pragmatic qualitative approach with an experiential lens to capture students’ attitudes towards data privacy in terms of educational technology. We identified preliminary, common themes that appeared in the survey responses. The paper concludes by calling for more research on how students perceive data privacy in terms of educational technology.

Profiling Cybercriminals: Behavioral Analysis And Motivations Behind Cybercrime Activities, A'Shya Latrice Reynolds

Cybersecurity Undergraduate Research Showcase

The study of cybercriminal behavior and motivations is crucial for understanding and combating the evolving landscape of digital crime. This paper delves into the intricate realm of cybercrime profiling, employing a multidisciplinary approach to dissect the behavioral patterns and underlying motivations of cybercriminals. Drawing from psychology, sociology, and criminology, the research examines the intricate interplay of individual traits, social dynamics, and technological factors that shape cybercriminal activities.

Through analysis of case studies and research, this paper uncovers the diverse range of motivations driving individuals towards engaging in cybercrime. From financial gain and ideological extremism to thrill-seeking and revenge, cybercriminals exhibit …

A Case Study Of The Crashoverride Malware, Its Effects And Possible Countermeasures, Samuel Rector

Cybersecurity Undergraduate Research Showcase

CRASHOVERRIDE is a modular malware tailor-made for electric grid Industrial Control System (ICS) equipment and was deployed by a group named ELECTRUM in a Ukrainian substation. The malware would launch a protocol exploit to flip breakers and would then wipe the system of ICS files. Finally, it would execute a Denial Of Service (DOS) attack on protective relays. In effect, months of damage and thousands out of power. However, due to oversights the malware only caused a brief power outage. Though the implications of the malware are cause for researching and implementing countermeasures against others to come. The CISA recommends …

Investigating Vulnerabilities In The Bluetooth Host Layer In Linux, Jack Dibari

Cybersecurity Undergraduate Research Showcase

This paper investigates vulnerabilities within the Bluetooth host layer in Linux systems. It examines the Bluetooth protocol's evolution, focusing on its implementation in Linux, particularly through the BlueZ host software. Various vulnerabilities, including BleedingTooth, BLESA, and SweynTooth, are analyzed.

The Security Of Deep Neural Networks, Jalaya Allen

Cybersecurity Undergraduate Research Showcase

Our society has transitioned from our primitive lifestyle to soon, an increasingly automatic one. That idea is further exemplified as we shift into an AI era, better known as Artificial intelligence. Artificial Intelligence is classified as computer systems that can perform tasks that typically require human intelligence. However, a common thought or question that most might have is, how is this done? How does AI process information the way we want it to and have access to so much information? AI is trained by systems called AI models. These modeling programs are trained on data to recognize patterns or make …

High-Resolution And Quality Settings With Latent Consistency Models, Steven Chen, Junrui Zhang, Rui Ning

Cybersecurity Undergraduate Research Showcase

Diffusion Models have become powerful generative models which is capable of synthesizing high-quality images across various domains. This paper explores Stable Diffusion and mostly focuses on Latent Diffusion Models. Latent Consistency Models can enhance the inference with minimal iterations. It demonstrates the performance in image in-painting and class-conditional synthesis tasks. Throughout the experiment different datasets and parameter configurations, the paper highlights the image quality, processing time, and parameter. It also discussed the future directions including adding trigger-based implementation and emotional-based themes to replace the prompt.

The Role Of The Patient Liaison Nurse In The Ambulatory Care Context Of A Middle Eastern Teaching Hospital: A Practice Model, Mustafa Morris E. Bodrick

Dissertations

The commencement of the role of patient liaison nurse (PLN) in the ambulatory care context of a Middle Eastern teaching hospital was an organizational response to patient care concerns during the site absence of physicians and the healthcare team. The PLN consequently evolved as a functional role of the registered nurse (RN) in ambulatory care nursing. The core research question asked was: how can a model be developed to describe the PLN role? The related topics for research included (i) the lived experiences of nurses in the functional role of the RN as PLN, (ii) what the nursing management team …

Expanding The Availability Of Adapted Athletics For Youth With Physical Disabilities In Middle Tennessee, Alexandra Hurd

OTD Capstone Projects

This doctoral capstone project was completed in partnership with ABLE Youth in Nashville, TN. ABLE Youth is a non-profit organization that uses sports as the motivation for children who use wheelchairs to reach their goals of independence. The two main goals of this project were as follows: One, to facilitate the Music City Wheelchair Basketball Tournament, the largest adaptive athletics event in Tennessee, and Two, to expand the variety of sports offered at the monthly Super Sports Saturday events. By the end of this capstone experience, volleyball and lacrosse were introduced to the ABLE youth program participants. Ideas for future …

Turbulence And Zonal-Flow Impact In The Madison Symmetric Torus In Quasi-Single Helicity, Nicholas J. Kaipainen, Y. L. De Jong, L. Helder, M. J. Pueschel, J. S. Sarff, P. W. Terry, P. D. Vanmeter

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Reversed-Field Pinches (RFPs) operating in the Quasi-Single-Helicity (QSH) magnetic geometry exhibit significant improvements in confinement time as compared to standard discharges due to the efficient saturation of large-scale tearing modes. This modification to the magnetic geometry and profiles introduces new instabilities which drive transport. This work focuses on diagnosing the microinstabilities and microturbulence in a non-reversed Madison Symmetric Torus QSH experiment. Local gyrokinetic simulations are conducted with the GENE code to identify the dominant instabilities as ion-temperature-gradient (ITG) and density-gradient-driven trapped-electron-mode (TEM) at core and edge radial locations, respectively. It has been previously observed in the RFP (Williams PoP 2017) …

Potential Non-Carbonate Buffering In An Interdunal Wetland/Slack Along Lake Michigan, Faith Huff

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Interdunal wetlands/slacks occur in Lake Michigan's coastal dunes where the wind scours the sand to the water table. Since May 2016 we have performed ecohydrological studies on the largest interdunal wetlands/slack, ~1.25 ha in size, lying within a deflated parabolic dune east of Lake Michigan at the Saugatuck Harbor Natural Area, Michigan. The slack’s hydrology is influenced by Lake Michigan-Huron, appearing and increasing in size and water depth with rising lake levels and decreasing in size to drying with low levels. Prior to 2014, the slack was completely dry and dominated by upland dune species due to low lake levels. …

Changes In Working Memory Performance With Various Simultaneous External Stimulation, Mackenzie Korff, Wyatt Oonk, Riley Checkley, Mackenzie Halton

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

A physically active lifestyle is associated with improved quality of life. Consequently, technologies have advanced to create active walking or cycling workstations where individuals may increase their physical activity in an otherwise sedentary work-related setting. The effectiveness of these active workstations on the brain’s working memory; its ability to process linguistic and conscious perceptual stimuli, is not well understood. This study evaluated changes in working memory by comparing N back-2 scores while completing a heart rate monitored, low-intensity, cycle ergometer exercise protocol. Three conditions were tested during three visits, one week apart from each other. For each trial, the participants …

Development Of A Liquid Chromatography Method For The Quantification Of Carbohydrates In Peat Soils, Christopher Klaver, Parker Diaz, Abigail Brewer, Gael Figueroa-Enriquez, Madison Smith

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Peatlands are an important carbon sink. However, climate change threatens to cause the peatlands to release their stored-up carbon. This would result in lots of carbon dioxide and methane to be released into the atmosphere due to the increased peat decomposition. This would end up forming a positive feedback loop, and thus resulting in more and more carbon lost from the peat. The biochemical composition of the peat is an indicator of the degradation state of the peat as well as its ongoing vulnerability to decomposition. In this study, we developed an HPLC method for analyzing the carbohydrate composition of …

The Synthesis And Electropolymerization Of Porphyrin-Substituted Ethylenedioxythiophene (Edot) Monomers, Benjamin D. Mcintyre, Joshua A. Hawkins, Kenneth L. Brown

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Two electroactive monomers were synthesized for use in forming redox-active films on electrodes. Such electroactive films are useful as redox mediating coatings in the functionalization of electrodes for sensor applications. Tetraphenylporphyrins were coupled to 3,4-ethylenedioxythiophene (EDOT) using different connector lengths and then metallated with iron to form monomers capable of electropolymerization. Hydroxymethyl EDOT was tosylated and then reacted with 4-hydroxybenzaldehyde in a Williamson ether synthesis to give an EDOT-functionalized aldehyde. This aldehyde was condensed with pyrrole under acidic conditions to form a novel EDOT-substituted porphyrin. The second porphyrin monomer was prepared similarly with a four carbon chain connector inserted between …

No "Butts" About It: The Heavy Metal Impact Of Cigarette Litter, Faith Huff, Connor Monson, Spencer Whittington

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Cigarettes are the most common litter globally. Following smoking, the filter is left with carcinogenic compounds, tar and metals. All of which are highly toxic for wildlife, affecting reproduction, behavior and mortality rate in animals. The heavy metals that are left within the filter also have potential to leach from the cigarettes and enter the groundwater system. As these heavy metals enter the system, it leads to adverse effects on the environment and can cause detrimental health effects in humans, such as cell damage, induced carcinogenic processes and loss of cellular functions. Much research that exists currently only focuses on …

Explainability In Multivariate Time Series Classification Machine Learning Models, Emanuel Sanchez, Giovanni Battaglia

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Explainability within models is a crucial part of machine learning (ML) models because it promotes trust in the models by providing insights into how their predictions were determined. Our study applies the classification model XCM's explainability component in identifying the critical features leading to classification decisions on data collected while participants performed patient-handling tasks on manikins. Studies show that nurses sustain musculoskeletal injuries early in their career, attributable to some extent to posture adopted during patienthandling tasks. The ML models classify posture adopted during tasks as "good", "poor", or, in some cases, "neutral", where good posture minimizes the risk of …

Temperature Sensitivity Of Nitrogen Mineralization In Peat From Bogs Across A Michigan Transect, Madison Smith, Hannah Sturgeon, Abigail Brewer, Gael Figueroa-Enriquez, Christopher Klaver

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

In this study, seven peat bogs across a latitudinal transect of Michigan were used to analyze inorganic nitrogen (nitrate and ammonium) release from peat to predict the impact that climate warming has on peatland nitrogen cycle. More nitrogen release is expected in samples kept at warmer temperatures (simulated climate warming) and also from samples from lower latitudes in the transect. 1-m peat core samples were taken at each site. 20 g of acid washed sand was added to upper chambers of microlysimeters (two-chambered filter towers). 50 g of peat was added onto the sand and was left to equilibrate for …

Β-Decay Strength Function Of 53ni And 52co, Gabe A. Balk, A. Spyrou, M. K. Smith, W. Von Seeger

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

The p process is believed to be responsible for the formation of heavy proton-rich nuclei in the universe. This work deals with the decay of two nuclei that are part of the p process, ⁵³Ni and ⁵²Co. β+ decays for each isotope were recorded with the Summing NaI(Tl) detector at the National Superconducting Cyclotron Laboratory. A preliminary β-decay Intensity Function was derived with Total Absorption Spectroscopy. Total energy spectra, β-particle spectra, individual γ-energy spectra, and multiplicity spectra for the decay to levels in the child nucleus were modeled with GEANT4 based on information from the National Nuclear Data …

Examining Regression Assumption Violations In Machine Learning Models Using The Wisconsin Longitudinal Study Dataset, Grace Mooney Anderson, Melia Brewer

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

A growing practice within the psychological sciences is a reliance on machine learning models for data analysis. Machine learning models may have profound implications for improving human well-being and health (e.g., Walsh et al., 2017). However, like any statistical model, machine learning requires that the assumptions of linear regression are met, though the implications of violating these assumptions in machine learning models are unknown. Our study investigates these potentially stark consequences by testing machine learning models in simulated data with built-in assumption violations, as well as a publicly available dataset. We hypothesize that when regression assumptions are violated, we will …

The Effects Of Self-Selected And Pre-Selected Music On Acute Exercise Perceptions And Performance In Insufficiently Active College Students, Alison J. Bache, Tiovanni M. Knight, Lazerick T. Smith Jr.

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Extensive research has investigated the effects of music on exercise. Researchers suggest that music can improve athletic performance and promote positive perceptions of exercise. However, previous research has focused on athletes or recreationally active participants, and often compares the presence of music during exercise to a lack of music. This study aims to determine whether listening to self-selected preferred music versus pre-selected motivational music improves acute exercise performance and perception of exercise in sedentary college students. Ten individuals will complete baseline testing by following the YMCA cycling protocol. Each participant will then complete two subsequent trials in which they will …

Investigation Of Convection Cells Via Truncated Eigenmode Decomposition, Gillian Donley, A. E. Fraser

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Convection cells are found in a variety of contexts throughout physics, including plasmas within the stellar interior and in neutral fluids such as planetary atmospheres. Rayleigh Benard Convection (RBC) is the most well studied model for this behavior, describing convection in fluids that are heated from below and cooled from above, resulting in a temperature gradient which can drive instabilities. Under the right conditions, this instability develops and drives convective heat transport, which is still actively researched in fluid and plasma dynamics today. We study the neutral fluid configuration of this system using a novel modeling approach that approximates the …

Exploring The Effectiveness Of Directing Groups For Rhodium-Catalyzed Decarbonylation, Bryan J. Forrest, Isabelle M. Klanseck, Jazmin E. Aguilar-Romero, Mary G. Kapitula

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Reactions involving carbon-carbon bond activation are of interest to develop methods of functionalizing molecules. Work in the Johnson Group utilizes rhodium-catalyzed decarbonylation to form new carbon-carbon bonds in pyridyl ketones, where the nitrogen on the pyridine ring acts as a directing group. Though this reaction is easily replicated and gives high yields, the need for a pyridine directing group limits the range of molecules that can be synthesized. To broaden the scope of this reaction, novel directing group compounds were synthesized through different routes and their efficacy in the decarbonylation reaction was explored.

Determining The Step Count Accuracy Of Four Commercially Available Smart Watches, Jolie Labarge, Samuel Aylward

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

The purpose of this study was to determine the step counting accuracy of four commercial smart watches. Methods: Twelve adults (mean ± SD, 24.8 ± 8.4 years) completed this two-trial study. Trial 1(T1) occurred indoors and Trial 2 (T2) took place outdoors. During T1 participants were outfitted with four smart watches, two on each arm (Apple Watch Ultra, Coros Vertix 2, Garmin Fenix 6, Polar Grit X) and completed both a treadmill and activities of daily living (ADL) protocol. During T2 they completed a 3.2 kilometer trail run. During TW participants wore a chest harness outfitted with a GoPro camera …

Effects Of Empathic Concern, Social Support, Health, And Burnout On Undergraduate Pre-Health And Nursing Students’ Stress, Caroline Davenport

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Stress among undergraduate students is an inevitable consequence of difficult studies, and this may especially be the case for pre-health and pre-nursing students. This research was aimed to determine whether the level, type, or combination of stressors affected pre-health and pre-nursing majors to greater degrees or in different ways. The data come from 531 undergraduate students who initially self-identified as pursuing either a pre-health or pre-nursing degree, and were surveyed once per year. The present data set includes Freshman through Junior years. The second and third wave asked students about their greatest stressors (open ended) and numerically rate the degree …

Mechanochemical Formation Of Polyacrylamide Nanocomposites: Impact Of Nanoparticle Surface Chemistry And Substrate Functionalization, Bryn Couturier, Lauren Buckley, Connor Bovia

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Osteoarthritis is a degenerative joint condition, with treatments currently limited to symptom management and invasive surgical procedures. This project investigates the fundamental mechanisms for a potential treatment route that would allow soft material nanocomposites to form within the joint through mechanochemical reactions. To gain fundamental insight into the different chemical pathways for this to occur, this work compares a top-down vs bottom-up approach. The top-down method focuses on the influence of applied oscillatory mechanical stresses on bulk hydrogel polymerization. Polyacrylamide (PAM) is used as a well-studied control system. PAM-nanocomposites were achieved through co-polymerization, with gold nanoparticles with different capping ligands …

Identity Development Among Pre-Health Students During The Covid-19 Pandemic, Anya Kapitula, Anna Tyshka

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Many sociology studies have been published regarding the experiences and development of medical school students, but there is a gap in research observing undergraduate students on pre-health professions tracks. Specifically, studies have been published noting a significant decrease in the empathy of medical school students during their third year, but no research has been conducted to identify development patterns of these students during their undergraduate years. This study aims to identify groups of undergraduate students on pre-health professions tracks based on typologies formed from longitudinal survey responses, and also to identify any significant transitions between these groups over time. Because …

Classifying Patient Handling Techniques To Reduce Risk Of Musculoskeletal Injury In Nursing Students, Giovanni Battaglia, Emanuel Sanchez

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Nurses suffer musculoskeletal injuries at a higher proportion than the general population due to physical strain and poor posture during patient-handling tasks; studies show that back injuries occur at a rate of 28.9 cases per 10,000 registered nurses. The purpose of this study is to apply multivariate time series classifiers (MTSCs) to classify six patient-handling tasks and the quality of subject posture (good, poor, or neutral) during these tasks. Manikins weighing 44 lbs, 66 lbs, and 110 lbs simulated patients. In this proof-of-concept study the XCM, ResNet, and MiniRocket MTSCs were trained with data collected from four non-nursing students using …