Digital Commons Network^™

Spider Test Modified For Pickleball: Reliable, But Do Not Use It, Margaret J. Falknor, Eric A. Martin, Steven B. Kim

Kinesiology Faculty Publications and Presentations

Change in direction ability (COD) is a fitness component that may be related to safe and effective participation in pickleball. The general aim of the research was to examine a COD test that may be specific to the movement demands of the sport. Therefore, we tested the inter-trial reliability of the modified spider test for pickleball, compared learning effects between younger and older adults, and examined the reliability and validity of hand timing compared to timing gates. In this cross-sectional study, 36 participants (ages 19–78) were grouped as adults (ages 18–49) or seniors (ages 50+) according to the USA Pickleball …

Lack Of Neuromuscular Fatigue In Singles Pickleball Tournament: A Preliminary Study, Eric A. Martin, Steven B. Kim, George K. Beckham, James J. Annesi

Kinesiology Faculty Publications and Presentations

Objectives: The objective of this study was to examine the neuromuscular fatigue response to playing in a singles pickleball tournament, as measured by performance on a countermovement jump test (CMJ). We hypothesized that players would exhibit neuromuscular fatigue after the tournament. Methods: Six adult pickleball players (five male and one female, M ± SD: 40.2 ± 10.1 years old, height = 178.7 ± 12.3 cm, body mass = 85.4 ± 16.7 kg) participated in a 15 game singles pickleball tournament. Prior to the tournament, everyone completed the CMJ to assess lower body strength and power on paired Hawkin Dynamics force …

"In This House, We Pull Ourselves Up By Our Bootstraps": The Foundations Of Parliamentary Sovereignty In The United Kingdom, New Zealand, And Sweden, Andrew Hull

Emory International Law Review Recent Developments

This paper considers the legal foundations of parliamentary sovereignty in three states: the United Kingdom, the Realm of New Zealand, and the Kingdom of Sweden. Two of these countries hail from the common law legal family, while Sweden is a civil law country with Nordic legal characteristics. After initial discussion of parliamentary sovereignty and Carl Schmitt’s theory of sovereignty, I will consider each of these states’ examples of parliamentary sovereignty in turn. We shall see the historical development of these three countries’ parliamentary sovereignties deeply implicates the other four of Zweigert and Kötz’s factors for defining legal styles: legal thinking, …

"Double-Sided Shareholder Primacy": Even More Powerful Corporate Governance Machine In China Than The United States?, Wenhan Tang

Emory International Law Review Recent Developments

This article examines the emergence of a “double-sided shareholder primacy” in China’s corporate governance, contrasting it with the U.S. “single-sided shareholder primacy”. While the U.S. emphasizes shareholder interests as the corporate purpose but centralizes governance power in boards, China’s system uniquely combines shareholder-centric corporate objectives and concentrated shareholder control, reinforced by a more powerful “Corporate Governance Machine.” This machine integrates legal transplants (e.g., extreme shareholder meeting authority), ternary controllers (state, family, and minority stockholders), cultural ideologies favoring power concentration, and political metaphors likening meetings of shareholders to sovereign bodies. Despite its entrenchment, China’s 2024 Company Law revisions reveal efforts to …

Medieval Misinformation And Disinformation: Filling A Gap In Medieval Studies, Kristin B. Leaman

Libraries Faculty and Staff Scholarship and Research

Misinformation and disinformation are well-known terms that bring a plethora of topics to mind, such as fake news, conspiracy theories, social media, economic inequity, power imbalances, social justice, confirmation bias, political polarization, and/or health information within a more modern/contemporary context. While it is no secret that mis/disinformation have been present in our societies for centuries, it is not an area that has been fully examined in Medieval Studies. This article argues that the lack of scholarship on medieval mis/disinformation stems from a gap in the medieval studies curriculum and provides solutions to this problem, including a brief outline of a …

Race, Diversity, And The Development Of Political Attitudes On College Campuses, Nathan Chan, Tanika Raychaudhuri

Political Science and International Relations Faculty Works

Faced with demographic change, many colleges are offering courses about race and ethnicity. How does taking race-focused courses affect public opinion? We theorize that while White,Latino, and Asian American students develop more inclusive political attitudes through race-centered coursework, Black Americans may enter college with a deeper understanding of racial issues. We test these expectations using two longitudinal multi-racial datasets. First, using a national longitudinal survey of college students, we find that ethnic studies coursework is associated with increased recognition of racial discrimination among Whites, Latinos, and even Black Americans. Second, using an original panel survey from a public university, we …

Hunting And Fishing Ceos: Environmental Plunderers Or Saviors?, Thomas Covington, Steve Widler, Keven Yost

Finance Faculty Works

CEOs who participate in hunting and fishing benefit by appreciating natural environments and permanently consuming natural resources. We examine whether CEOs who hunt and fish make different environmental decisions and find that firms led by CEOs who obtain the most hunting and fishing licenses have lower environmental performance as measured by MSCI-KLD. This effect is strongest in the environmental category of climate change but also extends to pollution, waste, and the protection of natural capital. Furthermore, firms led by CEOs with the most hunting and fishing licenses are significantly more likely to pay a regulatory settlement for an environmental regulatory …

Development And Evaluation Of Machine Learning Models For Early Pediatric Sepsis Prediction, Ancita M. Andrade

Browse all Theses and Dissertations

Sepsis is a leading cause of pediatric mortality, claiming more lives in the United States annually than all childhood cancers combined. Early identification in Emergency Departments (EDs) remains challenging, as the current Phoenix criteria establishes an updated international consensus definition for sepsis, however is not designed for use as a screening tool. This study aimed to develop predictive models identifying pediatric patients at risk of sepsis within 24 hours of admission. Multiple tree-based and deep learning models were trained utilizing clinical and laboratory data from the initial four hours of presentation. Both the LightGBM and LSTM architectures demonstrated superior performance, …

Wearable Sensor Data Analysis For Machine Learning-Based Detection Of Posture And Autonomic Responses, Chaitanya Vardhini Anumula

Browse all Theses and Dissertations

This study investigates how Iyengar yoga postures influence autonomic nervous system (ANS) activity by analyzing multimodal physiological signals collected via wearable sensors. The physiological mechanisms underlying Iyengar yoga’s therapeutic effects remain under-explored at the granular, pose-level. Using data collected from 16 participants, this research evaluates whether machine learning models can distinguish between baseline, parasympathetic-dominant, and sympathetic-dominant states based on wrist-worn sensor data. The goals were to explore whether subtle postural variations elicit measurable autonomic responses and to identify which sensor features most effectively capture these changes. Participants performed a sequence of yoga poses while wearing synchronized sensors measuring electrodermal activity …

Impact Of Graph Structures For Rag Outcomes In Llms, Chris Davis Jaldi

Browse all Theses and Dissertations

Explainability, interpretability and adaptability (EIA) remain three central motivations for next-generation Artificial Intelligence (AI), especially as Large Language Models (LLMs) continue to engage with ever-increasing knowledge bodies. As the landscape pushes toward controllable agentic Retrieval-Augmented Generation (RAG) systems where AI agents engage in iterative, guided reasoning, a critical question arises as to the extent to which the knowledge design itself shapes these models' reasoning behavior. This work conducts a systematic evaluation of how different conceptualizations and representation of the identical knowledge affect an LLM's path-based reasoning capabilities. Through the introduction of controlled variations along graph structural complexity, linguistic and semantic …

Re-Parameterizing Adversarial Reprogramming In Low-Dimensional Subspace For Efficient Software Vulnerability Detection, Hootan Alavizadeh

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Software vulnerabilities are a major cause of security breaches, making effective detection critical. Traditional learning-based methods require large datasets and significant computational resources, which are often impractical due to high annotation costs and data scarcity. To address this, we propose an innovative system, RearVul, which Re-parameterizes adversarial reprogramming in a low-dimensional subspace for software vulnerability detection. Unlike conventional approaches, RearVul repurposes a pre-trained classification model using adversarial reprogramming, enabling detection with minimal modifications. It learns a universal perturbation applied to program representations, preserving the original model’s feature extraction capabilities while adapting it to a new domain. Furthermore, we introduce a …

Subjective Readiness Forecasting Using Supervised Machine Learning And Wearable Device Data, Nathaniel Michael Weiland

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Recent advances in wearable technology allow continuous monitoring of physiological and behavioral data, opening new opportunities for real-time assessments of readiness and well-being. However, creating predictive models that generalize across diverse users remains challenging, especially in high-stakes settings like the military, where preventable injuries, illnesses, and stress-related performance declines are frequent. This research assesses the feasibility of using supervised machine learning models trained on wearable device data to predict subjective readiness indicators—recovery, stress, injury, and illness. Data from over 10,000 users in the OHWS (Optimizing the Human Weapons System) program combined daily check ins with physiological metrics from Garmin, Polar, …

Computational Assessment Of Vitrimers Self-Healing For Renewable Energy And Aerospace Structures, Walaaeldin Mohamed Ahmed Derbala

Browse all Theses and Dissertations

Self-healing polymers, particularly vitrimers, are emerging as promising candidates in the development of advanced materials for renewable energy and aerospace structures. These materials exhibit dynamic covalent bond exchange mechanisms that enable reprocess ability, damage repair, and extended operational lifetime under harsh conditions. This study presents a density functional theory (DFT)-based computational investigation of the mechanistic pathways and energetics of bond exchange reactions in model vitrimer systems. We explore transition states, energy barriers, and thermodynamic features corresponding to associative and dissociative self-healing reactions in vitrimers. The study focuses on Diaminodiphenyl disulfide (AFD), a bifunctional molecule composed of two para-substituted aminophenyl rings …

Ab Initio Simulations For Oxidation Of An Ultra-High Temperature Ceramic (Hfb2), Wesley I. Black

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Ultra-High Temperature Ceramics are a class of ceramics that possess high strength and melting points in excess of 3000°C. These ceramics are promising for aerospace applications, where materials need to endure high-temperature and high-stress environments. Utilizing ab initio simulations, this thesis research focuses on the atomistic details of oxidation for a typical ultra-high temperature ceramic material, namely hafnium diboride. The simulations provide energy barriers for transition from the initial to final structures via transition states on the (0 0 0 1) surface. These result in estimates for reaction rates and other thermodynamic features that are essential for assessing applicability under …

Dataset Generation For Routing Policy Study In Ad Hoc Wireless Networks, Vishnu Vishnu Priya

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Ad Hoc wireless networks, with their decentralized architecture and dynamic topology, present challenges in reliable and energy-efficient routing. While machine learning (ML) and reinforcement learning (RL) offer promising solutions, progress is limited by the lack of realistic, high-fidelity datasets. This research introduces a simulation-based framework for generating four diverse datasets representing combinations of node mobility (mobile vs. static) and spatial distribution (random vs. clustered). Each dataset captures critical metrics such as Signal-to-Interference-plus-Noise Ratio (SINR), bottleneck rate, and power consumption across multi-hop paths. A lookahead-based greedy routing algorithm with scenario-aware power control is implemented to emulate practical behavior. Supervised ML models, …

Hydrogen Storage Density And Adsorption Energy Barriers On Li-Decorated Bc3 Nanosheet, Sri Venkat Pavan Upasi

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Hydrogen is considered an emerging carrier of clean energy with renewable capabilities. Widespread hydrogen energy utilization necessitates efficient storage strategies. Functionalized nanomaterials, such as Li-decorated BC3 nanosheets, are among the primary candidate materials for hydrogen storage. This research investigates the feasibility of hydrogen storage by estimating energy barriers and their dependence on storage density on Li-decorated BC3 nanosheet. Density functional theory (DFT) simulations provide estimates of adsorption energies and saddle points for hydrogen storage and compare corresponding reaction rates. The results are expected to help us understand the advantages and possible shortcomings of hydrogen storage on such nanomaterials.

Mid-Wave Infrared Imaging Of Supersonic Combustor Exhaust Flow, Nathan Childs

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A study was completed on the application of mid-wave infrared (MW-IR) imaging for diagnostics in supersonic combustion exhaust flows, with the objective of enhancing optical access and measurement accuracy. Other optical based techniques of thermography require complicated setups and analysis to determine the temperature of a flow with high accuracy, where MW-IR is a more simplistic "point and shoot" technique. The simplicity of MW-IR comes with the trade off of gaining simplicity but adding uncertainty into the measurements. The MW-IR camera was positioned to view the exhaust of the combustor to provide an unobstructed view of the flow, addressing limitations …

Laminar Separation Control Of An Eppler 387 Airfoil, Vincent R. Sheeler

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A variety of aerodynamic devices operate at low Reynolds number conditions, such as unmanned aerial vehicles and low-pressure turbines in gas turbine engines. At low Reynolds numbers, many airfoils experience laminar boundary layer separation as the fow lacks the energy to overcome the adverse pressure gradient. Researchers have documented a variety of methods which can suppress laminar separation, and now focus on ways to reduce energy requirements to provide efective fow control. Aspects of fow control strategy such as actuator location and pulsing at frequencies which exploit natural instabilities in the fow can reduce energy requirements. In a study by …

Biosensing Applications Of Thz Rotational Spectroscopy: Sensing And Analysis Of Exogenous And Endogenous Compounds In Exhaled Breath, Daniel J. Tyree

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Exhaled human breath contains a wealth of volatile molecular species which bear an imprint of compounds dissolved in blood. Assessing trace amounts of these species in exhaled breath requires a highly sensitive and selective method. Terahertz (THz) rotational spectroscopy satisfies these needs by detecting numerous and narrow, molecule specific spectral features with feature intensity dependent on the quantity of absorbing molecules, molecular structure, and experimental parameters. Expanding the applicability of THz sensing to biological gases requires systems to measure this spectral data, reliable analysis of the spectra, and demonstration of the utility of biological data extracted from the spectra. To …

Evidence That Ultraviolet B Radiation Generates Systemic Responses Via Microvesicle Particle, Niharika Annapureddy

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Ultraviolet B (UVB) radiation, ranging from 280–315 nm, has been identified as carcinogenic since 1928 and is known to cause skin cancer. Additionally, UVB exposure triggers inflammatory responses, systemic effects, and organ damage. Recent research has discovered that these adverse outcomes are facilitated by the release of microvesicle particles (MVP) via the inflammatory lipid mediator, Platelet-activating Factor (PAF). We have previously demonstrated that sunburn causes skin keratinocytes to release high levels of MVP by activating the PAF receptor (PAFR). These studies were designed to test if these microvesicles enter the bloodstream and travel to various organs, especially the gut, increasing …

Disengaged And Drowsy: Using An Adaptive System To Detect Suboptimal Learning, William Andrew Stalker

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Instruction is increasingly asynchronous, providing new opportunities but at the cost of losing some guard rails of in-person classes. One such guard rail is an instructor’s ability to detect boredom and learner disengagement. This dissertation explores the development and evaluation of an adaptive training simulator designed to respond to user engagement levels in real-time. The simulator monitors eyeblinks, comparing metrics to individual baselines to detect signs of fatigue and boredom. Participants are exposed to novel information in an audiobook recording of a textbook chapter and later quizzed to assess retention. An adaptive intervention offering periodic brief respite was tested against …

Religiosity And The Gender Violence Crisis: How Religious Affiliation Of Society Impacts Violence Against Women, Sydney Hoffman

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This thesis analyzes the impact that the religious affiliation of a population has on both the prevalence of violence against women, as well as the presence of legislation and other legal frameworks aimed at preventing violence and protecting women. Utilizing data from international organizations and nonpartisan fact tanks, regression analyses are performed with four different models and dependent variables to understand the effect religiosity has on both prevalence and prevention of gender violence. While the results of these models do not indicate a likelihood of real relationships between religiosity and the different outcomes, the thesis overall contributes further to the …

Ready, Set, Resistance: A Dual Continuum Approach To Organizational Change Acceptance, Alexandria Bohn

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With organizations operating in increasingly dynamic and competitive landscapes, organizations need to be able to get their employees to adapt to system-wide changes that are needed. However, research has suggested a 70% failure rate for organizational change initiatives (Hughes, 2011). Prior research has produced mixed research results when examining resistance and readiness to organizational change on either a single dimension (e.g., Kaplan, 1972) or two dimensions (e.g., Repovs, Drnovsek, & Kase, 2019). I extended prior research by examining resistance versus readiness as residing on a single continuum and whether effects on outcomes were moderated by change orientations. Research has suggested …

Complainer's Dilemma, Greg Leo, Jennifer Pate

Economics Faculty Works

Technological innovations have made complaining easier. Often, when it is easy to complain, only problems that meet a high threshold of complaints are addressed. We present a novel model of the strategic environment facing complainers and demonstrate that the properties of the resulting games' equilibria justify the existence of high complaint thresholds. By setting the thresholds appropriately, an administrator can prevent complaints that are not worth addressing. Policies that minimize the cost of complaining while requiring a large threshold are universally more efficient for large constituencies. Our results regarding the equilibrium for large constituencies are facilitated by the application of …

Mobile Weather Satellite Receiver, Luke Datsko, Sam Watts, Jason Do, Adam Bechtler

Williams Honors College, Honors Research Projects

The "Mobile Weather Satellite Receiver" project aims to create a portable, user-friendly device that receives and displays weather information from geostationary satellites, addressing the limitations of traditional weather sources like the Internet and weather radio, particularly in remote areas. This device will collect and demodulate satellite data, including imagery and Emergency Managers Weather Information Network (EMWIN) forecasts, to provide users with detailed local forecasts and real-time alerts.

Designed with a user-centric approach, the system includes a satellite dish, Software Defined Radio (SDR), a Raspberry Pi, and a custom software interface for ease of use. Its portability and ability to function …

An Improved Method To Protecting Skin Graft Dressings Following Surgery In Severe Burn Patients, Andrew Martin, Matt Flaker, Hailey Essinger

Williams Honors College, Honors Research Projects

Severe burns, including deep second- and third-degree burns, affect over 450,000 people annually in the U.S., often requiring skin grafts for treatment. Recovery involves wearing wound dressings covered by bandage wraps for at least two weeks. While wraps are breathable, versatile, and simple, they can be painful to apply, especially for larger patients, and their compression varies based on the person applying them. This poses challenges when untrained caregivers are involved. Additionally, wraps often slip during physical therapy. Burn care units seek a new solution that matches current wraps in breathability and comfort but offers quicker application, controlled compression, and …

The Seating And Standing Arrangements Of Band, Orchestra, And Choir, Sabrina Wolf

Williams Honors College, Honors Research Projects

In this literature review, I will be looking for scholarly articles that discuss the seating and standing arrangements of band orchestra and choir ensembles. The main goal of this literature review is to find what information is available and discover what positions work to find the best sound that each ensemble can have. After finding the resources, I will annotate each source and summarize the information. I will also reach out to ensemble directors at the University of Akron and interview them to discover what seating and standing arrangements they prefer and why. I will compile this information into a …

Voter Apathy And Divided Government, Ty'hier Simon

Williams Honors College, Honors Research Projects

The proposed research project will pertain to the voter attitudes associated with our government. The association with our government is critical to document because it may reflect the outlook of how the seats are distributed between the two major parties in our system. Voter apathy is the lack of interest in elections of representative democracies. In this project, a correlation may be drawn between voter turnout and how the delegation of our representatives looks. For example, if there is a low voter turnout there may be a swift change in power in Congress or there might be total gridlock. Using …

An Aphasia Friendly Questionnaire For Post-Stroke Fatigue, Abigail Best

Williams Honors College, Honors Research Projects

A stroke is when there is lack of blood flow to part of the brain. It can cause permanent damage, such as paralysis, sensory changes, difficulty with speech and language (such as aphasia), and decreased memory. Within this project, we will discuss individuals post-stroke who are diagnosed with aphasia, which is the inability to understand and express language. Currently, there are minimal resources available to help a healthcare worker define and assess the fatigue level of a patient post-stroke who is also diagnosed with aphasia. The first objective of this research is to discuss stroke and aphasia. The second objective …

Artificial Intelligence’S Role And Impact On The Engineering Discipline, Andrew Angelini

Williams Honors College, Honors Research Projects

The purpose of this Honors Research project was to explore the impact of Artificial Intelligence (AI) on the Engineering Discipline as a whole. Specifically, civil engineering’s discipline of transportation was used to display the effectiveness of AI in engineering. This discipline was used due to its wide use in engineering and overall designs that can be created within this discipline. These designs include maintenance of traffic plans, engineering plan sets, horizontal and vertical curve design, intersection design, traffic signaling, highway material design, and phasing of intersections and traffic accounting for pedestrians. Through similar prompts that were given to a publicly …