Digital Commons Network^™

The Echo: May 11, 2026, Taylor University

2025-2026 (Volume 113)

No abstract provided.

A Mathematical & Computational Study Of Voting Power In Social Choice Systems, Madison T. Gambon

Undergraduate Honors Theses

This thesis develops a computational framework for measuring the vulnerability of voting rules to coordinated strategic manipulation. While classical results show that most voting systems are theoretically manipulable, less is known about the magnitude of coordination required to alter outcomes or how that magnitude varies across institutional designs. I define the minimal manipulating coalition size k* as the smallest number of voters whose strategic ballot changes can overturn a sincere election outcome under a given rule. To enable cross-election comparison, I introduce the normalized manipulation threshold θ = k*/n . Using algorithmic search procedures and Monte Carlo simulation, I estimate …

Investigating Creative Possibility Using Automated Composition, Kian Drees

Undergraduate Honors Theses

As a constructive method, Johann Joseph Fux’s theory of counterpoint defines a space of musical possibility for contrapuntal composition. I developed a computational method for generating melodies to systematically investigate selected properties of this space. My program recursively generates a tree of all possible cantus firmus melodies of a specified length or all possible first species counterpoints on a given cantus firmus, starting with an empty root node and adding child nodes representing possible musical notes at each step until the specified length is reached. I then investigated several properties of the generated melodies, such as the approximate relationship between …

Accesstem: How Small Colleges Can Open Stem Pathways For Local High School Students, Dina D. Isakov

Program in Community Action (PICA)

This paper reflects my experience developing ACCESStem as part of the Program in Community Action (PICA) center at Connecticut College. ACCESStem is a community-engaged research project designed to create hands-on, lab-based STEM workshops for local high school students in New London. ACCESStem was built on the premise that even small liberal arts colleges can hold a meaningful impact on helping diversify the science workforce. Over the course of three years, this project took shape through my relationships with STEM faculty on campus and relationships with staff at the Holleran Center for Community Action. This paper works to begin contextualizing the …

Energy-Efficiency Optimization And Comparison For Irs-Assisted Bidirectional Relay And Direct Transmissions, Caixia Cai, Jiayao Zhang, Fuli Zhong, Han Hai, Yayu Yang, Sunil Chinnadurai, Anwer Al-Dulaimi

All Works

Intelligent reflecting surface (IRS) has emerged as a promising technique for achieving high-transmission rate and low-power consumption transmission to meet the requirements of future beyond 5G and 6G communication. In this paper, we optimize and compare the energy-efficiency (EE) of IRS-assisted bidirectional relay transmission (BRT) and bidirectional direct transmission (BDT). In specific, we firstly consider and give the IRS-assisted BRT and BDT models. Then, we give the analyses of signal transmission models and EE for both IRS-assisted BRT and BDT. In addition, to optimize the EE, we give the joint optimization problems for both IRS-assisted BRT and BDT, which incorporate …

Board Of Directors Meeting Minutes (May 11, 2026), Dmacc Board Of Directors

Board of Directors Meeting Minutes

This file contains the minutes from the Des Moines Area Community College Board meeting held on May 11, 2026.

Primary Grade Teachers’ Perspectives Regarding Time Devoted To Mathematics Instruction, Obiageli Udeme

Walden Dissertations and Doctoral Studies

No abstract provided.

The Gatekeepers: School Personnel And The Identification Of Twice-Exceptional Black Girls, Stephanie L. Addison-Fontaine

LMU Theses and Dissertations

This qualitative research study examined the discourse of school personnel in the twice-exceptional (2E; Kaufman, 2018) student identification process (Gilman & Peters, 2018). It used disability critical race studies (DisCrit; Annamma et al., 2016) to investigate how educators’ discourse signals the inclusion or exclusion of 2E Black girls. Critical discourse analysis (Gee, 2014) was used to understand the ways their intersectional identities of race, ability, and gender impact their identification in schools. It highlighted the identification barriers for 2E Black girls and conceptualized a normative 2E construct (N.A.T.E.) aligned with the dominant institutional discourse of twice-exceptionality. Policy shifts are recommended …

Draft Final Annual Operations And Maintenance (O&M) Report: Butte Treatment Lagoon (Btl) System – 2025, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Meeting The Moment With Ai-Employer Informed Education, Brent Terwilliger, John Faraca

Publications

As artificial intelligence transforms aviation, aerospace, and autonomy-related sectors, higher education must adapt to meet evolving workforce demands. This session shares emerging findings from a nationwide study led by Embry-Riddle Aeronautical University, focused on employer perceptions of AI adoption, responsible use, and workforce preparedness in domains including uncrewed systems, space systems, robotics, and advanced air mobility. Based on a structured survey and follow-up interviews, the presentation explores how organizations are using AI tools, from generative platforms to enterprise systems, and defining effective and inappropriate use in operational contexts. Participants will gain insight into critical concerns (e.g., data privacy, compliance, security, …

Comprehensive Analysis Of Spray Development And Low Temperature Combustion Characteristics In A Cvcc With Nvh Of Renewable Aerospace Fuels: Hefa & Ft Synthetic Kerosene (S8) Compared To Jet-A & Ulsd, Coleman Norton

Honors College Theses

A comprehensive analysis was conducted to research the viability of Hydroprocessed Esters and Fatty Acids (HEFA) and S8 Synthetic Kerosene fuels as a drop-in replacement for conventional petroleum-based fuels, Jet-A and ULSD (Ultra Low Sulfur Diesel). Global transportation remains heavily dependent on liquid fossil fuels, while renewable aerospace fuels offer a promising pathway to reducing life cycle greenhouse gas emissions and pollution. However, the combustion performance and long-term feasibility of these fuels remain insufficiently characterized. This study performed a thorough assessment of each fuel's thermophysical and combustion properties. Thermophysical characterization encompassed viscosity, freezing point, energy density, spray atomization, and volatility. …

Virtualizing Practical Science Education: A Sociological Analysis Of Undergraduate Teaching And Learning, Sina J. Fakoyede, Femi E. Babalola, Oluwatoyin T. Obateru, Oluwayemisi D. Akomolafe, Deborah O. Alabi, Stella K. Ekundayo

Higher Learning Research Communications

Objectives: The study aims to investigate the perspectives of university teachers and students on integrating practical science teaching with virtual learning in a multicultural and diverse society, specifically within the context of southwestern Nigeria.

Methods: A mixed-methods approach was employed, involving data collection from 100 university lecturers and 400 undergraduate students across 10 universities. Qualitative data were gathered through semi-structured interviews with lecturers and focus group discussions with students. Quantitative data were obtained via structured questionnaires, allowing for triangulation and comprehensive analysis.

Results: Findings revealed that certain lecturers showed preferential support influenced by students’ cultural backgrounds or academic behavior during …

Advanced Machine Learning Methods For Seismic Hazard Applications: Ground Motion Modeling And Magnitude Estimation, Najme Alidadi

Electronic Theses and Dissertations Archive

Seismic hazard analysis depends on reliable prediction of ground motion intensity and accurate estimation of earthquake magnitude. Data-driven approaches have gained attention as potential complements to traditional regression-based and waveform-based methods. This dissertation investigates the role of advanced machine learning frameworks in improving both ground-motion modeling and moment-magnitude estimation. The study first examines the current state of machine learning applications in ground motion prediction and identifies key methodological challenges, including model validation, residual behavior, and physical consistency. Building on this context, new machine learning-based GMMs are developed for small-to-moderate induced earthquakes in Central and Eastern North America. The models are …

Un|Veiling Walls, Olivia F. Aratea

Bachelor of Architecture Theses - 5th Year

This thesis explores how trauma-informed design principles can be integrated into Kennesaw State University’s Marietta Campus to promote psychological safety, emotional resilience, and reduction of trauma triggers for survivors of sexual assault. While trauma-informed approaches have been implemented in healthcare and counseling, their application within academic architecture remains limited. This gap is important to consider given the rising rates of sexual assault, which have increased 62.5% since 2020. Current data shows that four in five women (81%) and two in five men (43%) experience sexual assault in their lifetime, specifically noting that college-aged women are three times more likely to …

Clustering Data With Values Missing At Random Using Scale Mixtures Of Multivariate Skew-Normal Distributions, Jason Pillay, Cristina Tortora, Antonio Punzo, Andriette Bekker

Faculty Research, Scholarly, and Creative Activity

Handling missing data is a major challenge in model-based clustering, especially when the data exhibit skewness and heavy tails. We address this by extending the finite mixture of scale mixtures of multivariate skew-normal (FMSMSN) family to accommodate incomplete data under a missing at random (MAR) mechanism. Unlike previous work that is limited to one of the special cases of the FMSMSN family, our method offers a cluster analysis methodology for the entire family that accounts for skewness and excess kurtosis amidst data with missing values. The multivariate skew-normal distribution, as parameterised by Azzalini and Dalla Valle (Biometrika 83(4):715–726, 1996) and …

Is2c2: A Cointelligent Platform For Mechanistic Discovery Of Disease Cellular Crosstalk, Jianting Sheng, Ju Young Ahn, Li Yang, Zhihao Wan, Shaohua Qi, Xiaohui Yu, Zhan Xu, Yuliang Cao, Matthew Vasquez, Amna Irfan, Yuanyuan Zhu, Hong Zhao, Zheng Yin, Ying Zhu, Yunfeng Ding, Alireza Faridar, Lin Wang, Fengshuo Liu, Hongxia Wang, Zhigang Ji, Dongxue Mao, Michael Chan, Daniel Kermany, Wenjuan Dong, Doo Yeon Kim, Xiang H-F Zhang, Stephen T C Wong

Faculty, Staff and Students Publications

Large language models (LLMs) have demonstrated impressive capabilities in summarization, reasoning, and content generation, yet their inability to directly interpret large-scale omics data has limited their utility in data-driven hypothesis generation-particularly in mechanism discovery that demands the integration and interpretation of multimodal datasets, heterogeneous models, and deep domain expertise. Conversely, traditional computational algorithms excel at quantitative analysis of omics data but often rely heavily on labor-intensive, expert-driven interpretation to extract biologically meaningful insights. Here, we introduce (cointelligent single-cell spatial cell‒cell communication: iS2C2), a novel cointelligent platform that synergizes mathematically rigorous computational algorithms with the contextual reasoning capabilities of LLMs to …

Karstic Cavities Underground Investigation: Gpr And Geotechnical Data Correlation, Mehrez Jamei, Mabrouk Abdelkader, Anwar Ahmed, Yahya Alassaf

Journal of Sustainable Mining

This paper focuses on the methodology involving ground penetration radar (GPR) for detecting and localizing random cavities in underground limestone soil, in conjunction with geotechnical data. A GPR survey was conducted alongside field and laboratory geotechnical tests at a field where mining activities are now promoted (Saudi Arabia Northern Borders Province). The paper presents correlations between the instantaneous amplitude of the reflected electromagnetic (EM) waves and rock quantification distributed (RQD), recovery rock parameter (REC), and uniaxial compressive strength (UCS). The GPR investigation proved to be an efficient nondestructive geophysical method for determining: 1) the …

“The New Normal”: California’S Escalating Wildfire Crisis, Alexandra Vasquez

Student Theses 2015-Present

This paper addresses the current state of California's wildfire epidemic and how the increasing effects of climate change have worsened the fires, harming residents' health and the state's economy. The wildfires are shaped by factors such as climate change, land-use choices, and policy designs. California wildfires have worsened substantially in the 21st century, with the worst burns in the 2020 season setting a record of 4.2 to 4.5 million acres destroyed. Given current policies and the administration's disinterest in combating climate change, understanding wildfire history and data is essential to improving California's wildfire resilience, creating sustainable land management practices, and …

Mismatch Negativity (Mmn) And Neurodevelopmental Outcomes In Children Born Preterm, Aidee León Lúa

Theses - ALL

Premature birth is a leading factor contributing to neurodevelopmental disorders, including autism and cognitive disabilities. Early detection measures can help children access services earlier, even before behavioral traits manifest. Event-related potentials (ERPs), measured though electroencephalography (EEG), are objective and non-invasive methods to study brain activity in children born preterm. The mismatch negativity (MMN), measured by the difference in neural response to alternating frequent and rare stimuli, has been associated with cognitive abilities in preterm children, but its relation to autistic traits remains underexplored. The present study examined whether speech evoked MMN amplitude and latency in children born preterm between 5 …

Interdisciplinary Practices In The Band Room: Repertoire As A Tool To Enrich Student Learning, Ainsley L. Brouse

Theses - ALL

Interdisciplinary learning is an educational theory approach that emphasizes the importance of incorporating content from different subject areas into the teaching of one’s own topic of study. Research has presented that the use of interdisciplinary teaching practices can have several benefits on students' learning outcomes and overall academic success. Music has deep and rich historical roots that can provide students a more hands-on experience with the concepts and events they are learning in their history classes. The use of interdisciplinary practices through specific repertoire selections will not only provide students with a deeper, more meaningful experience with the music they …

Sage: Contention-Aware Sensitivity Adjustment For Spin Lock Exiting In Vms, Sam Thomas Stowers

Theses - ALL

To address the severe multi-threaded performance degradation caused by lock contention in oversubscribed cloud environments, this thesis examines and improves on the Pause Loop Exit (PLE) mechanism used by hypervisors to deschedule unproductive virtual CPUs (vCPUs). These oversubscribed environments introduce contention which frequently leads to Lock Holder Preemption (LHP), where a hypervisor preempts a vCPU holding a critical spinlock, causing waiting vCPUs to waste cycles spinning. To mitigate LHP, hardware mechanisms trigger PLE events to inform hypervisors of spinning vCPUs, relying on a PLE_gap parameter to differentiate spinlock instances. The PLE_gap dictates spinlock detection sensitivity—a component of the virtualization stack …

The Role Of Gender And Salient Social Identities In Producing Vulnerability And Maladptation To Flooding In Koraso, Berekum, Ghana, Kingsley Damoah Oppong

Geography ETDs

This paper highlights how social identities like polygamy, illiteracy, and ethnicity hinder rural women farmers in Ghana from adapting to climate change. It advocates for an intersectional approach to address these challenges, moving beyond simplistic gender binaries. Using qualitative interviews (n=49) in a flood-prone village in Berekum, Ghana, the study reveals how these identities intersect with gender roles and colonial legacies, exacerbating vulnerability. It bridges Black feminist thought with climate change, an underexplored area, offering insights into climate change and environmental studies, as well as Black feminist scholarship. This research urges a reevaluation of how we understand climate change in …

Foreign Direct Investment And Economic Growth: Assessing Mediation Role Of Financial Development.., Adam Salehe Kizigha, Ellinami John Minja, Neema Robert Towo

Business Management Review

This study examines the mediating role of financial development in the relationship between foreign direct investment (FDI) and economic growth in low financial development (LFD) economies within the SADC region over the period 1991–2020. Using panel data techniques, including fixed effects estimation with Driscoll–Kraay standard errors and an instrumental variable approach, the analysis captures both the direct and indirect channels through which FDI influences economic growth. The findings indicate that, FDI exerts a positive and statistically significant direct effect on economic growth. More importantly, the results reveal a positive indirect (suppression) effect, whereby FDI mitigates the adverse impact of weak …

A Dynamic Assessment Of Writing Apprehension In Elementary And Middle School Students Undergoing A Writing Intervention, Jennifer Lin Williams

Theses - ALL

Writing apprehension refers to fear or anxiety associated with writing tasks, avoidance of writing, and concern over evaluation of written works (Daly & Miller, 1975c). Although extensively studied in college-aged populations, where elevated apprehension is linked to reduced text production (Limpo, 2018) and diminished sentence complexity and quality (Faigley et al., 1981), research in elementary students remains limited. Existing studies have relied on adaptations of the Writing Apprehension Test (Daly & Miller, 1975c), originally validated for adults, and have typically employed cross-sectional designs, leaving the developmental trajectory of writing apprehension underexplored. To address these gaps, the present study examined changes …

Evapotranspiration Everywhere, All The Time: Towards A Unified View From Earth Observation, Joshua B. Fisher, Martha C. Anderson, Diego G. Miralles, Kanishka Mallick, Paul C. Stoy, Youngryel Ryu, Wim G. M. Bastiaanssen

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Scientists want to know everything, everywhere, and all the time. This is particularly true in Earth science, where we seek to understand processes that span from the molecular to the planetary scale in how the world works, how it affects us, and how we impact it—especially the water cycle. Evapotranspiration (ET) was the last component to be measured in closing the water cycle: for decades, closing the water budget meant adding up all the measurable components, then inferring ET as the residual. Early measurements relied on water loss from pans and weighing lysimeters, followed by sensors inserted into plants to …

Geometric Approaches To Memory Formation In Soft Matter, Gentian Muhaxheri

Dissertations - ALL

The primary focus of this dissertation is the development of a geometric framework for understanding memory formation in systems composed of interacting hysteretic elements, or hysterons. Using tools from bifurcation and catastrophe theory, this work provides a description of how complex memory behaviors emerge from the structure of the system's configuration space and the system bifurcations under external driving. As a concrete model system, we study networks of connected rubber balloons subjected to different inflation protocols. Under pressure control, the system maps naturally onto a Preisach-type system of non-interacting hysterons and exhibits return point memory. In contrast, under volume control, …

Symmetries Of Legged Locomotion: Theory And Applications In Animals And Robots, Jiayu Ding

Dissertations - ALL

Legged locomotion in animals and robots is naturally modeled as a hybrid dynamical system: smooth body evolution is repeatedly interrupted by discrete contact events such as touchdown and liftoff. Although symmetry is a powerful organizing principle in smooth dynamical systems, a comparably systematic symmetry framework for hybrid legged locomotion remains underdeveloped. This dissertation develops such a framework for a scoped class of periodic hybrid locomotion models and uses it to relate theoretical gait analysis, animal locomotion studies, and robotic gait generation. The dissertation first extends symmetry notions from autonomous dynamics to hybrid legged systems and distinguishes symmetries of the hybrid …

Global Invertibility Of Sobolev Mappings And Energy Minimizers With Prescribed Jacobian, Sabrina Traver

Dissertations - ALL

We prove two main results at the intersection of Geometric Function Theory and Nonlinear Elasticity. The first is a Sobolev variant of the Inverse Function Theorem, which generalizes a famous result of John Ball. It uses Classical Sobolev Theory as well as the Degree Function, which was initially a topological tool. The second result is the existence and uniqueness (up to rotation) of a radially-symmetric minimizer for Sobolev mappings with prescribed Jacobian. This result generalizes recent work of André Guerra, Lukas Koch, and Sauli Lindberg.

Dg Algebra Techniques For Tor Algebras And Edge Ideals, Desiree Martin

Dissertations - ALL

This thesis is comprised of two projects. The first is individual work where I use semifree Gamma-extensions to show, for an ideal I with infinite projective dimension over a Noetherian local ring R, there exists a splitting morphism from a Tor algebra Tor(R/I,R/I) to the exterior algebra of the R/I-free summands of the conormal module. In particular, when the conormal module is free over R/I, we see that the exterior algebra of the conormal module splits completely from Tor(R/I,R/I) as algebras. For the second project my collaborators, Hugh Geller and Henry Potts-Rubin, and I completely classify all trees and cycle …

On Compact Quasi-Einstein Metrics Of Constant Scalar Curvature, Eric Morgan Cochran

Dissertations - ALL

This thesis concerns a generalization of Einstein manifolds called quasi-Einstein manifolds. These manifolds are a triple $(M,g,X)$ where $(M,g)$ is a Riemannian manifold, and $X$ is a smooth vector field on $M$. Quasi-Einstein manifolds are of interest in general relativity, where a special class of quasi-Einstein manifolds are known as near horizon geometries. They are also related to Ricci solitons, which are self-similar solutions of the Ricci flow. In the first set of results in this thesis, we study the existence of Killing fields on compact quasi-Einstein manifolds. In particular, we prove an equivalence between compact quasi-Einstein manifolds of constant …