Digital Commons Network^™

Melanated Reflections Through Testimonios: Centering The Experiences Of African American Women Teachers Turned Leaders And Their Implications On Recruitment, Selection, Hiring, And Retention Of Women Of Color In Leadership Positions, Tanya Rochelle Santos

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

According to the National Center for Education Statistics (2022), during the 2017–2018 academic year, only 7% of all teachers identified as Black or African American, with approximately 76% of that group being women. This qualitative study investigates the lived experiences of African American women educators who have transitioned into leadership roles within P–12 educational settings across the Great Plains Region of the United States. The research explores how their experiences intersect with issues of racial and gender equity, particularly within the broader discourse of social justice in education and educational leadership.

Framed within the theoretical lens of Black Feminist Thought, …

Landscape Effects On The Beneficial Arthropod Community In Agriculturally Dominated Environments, Hannah E. Stowe

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Ecosystem services in agriculturally dominated regions rely, at least in part, on arthropods. Environment and biodiversity influence beneficial arthropods in population size, community structure, diversity, and ecosystem service provisioning. Predation is among the most important services provided by arthropods in agroecosystems. Understanding what alters predation and predator activity can support the successful application of biological control and, more broadly, integrated pest management. Land use and edge adjacency, field characteristics, landscape, seasonality, and diel period all alter predatory behavior. Crop fields dominate Nebraska agroecosystems, although interspersed perennial grasslands persist through the Conservation Reserve Program (CRP). Such grasslands supply crucial resources and …

A Case Study On Readiness Of Engineers In Agricultural Technology Start-Ups, Katie Marie Mowat

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This dissertation explores the perceptions of practicing engineers regarding the skills necessary to be workforce-ready at agricultural technology (ag-tech) start-ups in the Midwestern United States. A qualitative case study methodology is leveraged, combining both interview and job description data. Given their uniqueness, the study divides the ag-tech start-up industry into two subcases: livestock and cropping systems. The Work Readiness Integrated Competence Model (WRICM) is used as the theoretical framework for this study and informs the conceptual framework and analysis processes. The study identified skills that fit into thirteen distinct categories, which are further grouped into four overarching resource groups. Skills …

Optimizing Nitrogen Management: Assessing Nitrate Transport In The Deep Vadose Zone And Its Impact On Groundwater Quality In East-Central Nebraska, Muili O. Lawal

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

Groundwater contamination by nitrate (NO₃-N) is a growing environmental and public health concern driven largely by intensive agricultural fertilizer applications. The vadose zone plays an important role in NO₃-N transport, influencing groundwater quality and agricultural sustainability. This study investigated NO₃-N leaching dynamics in the deep vadose zone of Water Quality Sub-Area 30 (WQA30) within the Lower Loup Natural Resources District (LLNRD), northeast of Columbus, Nebraska (mean groundwater NO₃-N: 20.3 mg/L), using soil cores from 16 shallow (to 6.1 m) and four deep (down to 25.9 m) across four zones, two with inorganic fertilizer (Zones 1 and 4) and two with …

Using Permutation Groups To Identify Families Of Capacity Achieving Codes, Daniel Welchons

Department of Mathematics: Dissertations, Theses, and Student Research

When communicating over a noisy channel, the probability of message interference sets a maximum possible transmission rate known as the channel capacity. Any family of codes which have rates converging to the channel capacity and arbitrarily low probability of decoding failure is called capacity achieving. Such codes have been known to exist since the birth of information theory, but are difficult to find explicitly. It has recently been shown that the permutation groups of a family of codes can be used to show that the family is capacity achieving on the q-ary erasure channel.

This thesis seeks to apply the …

Constructing An Attractive Targeted Sugar Bait For Reducing Mosquito Populations, Xi Xian Ng

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Mosquito-borne pathogen transmission continues to pose a significant burden to global public health, well-being, and economic productivity. In the absence of universally available vaccines and amidst rising insecticide resistance that leads to product failures, there is an urgent need to develop new tools to mitigate mosquito-borne disease risk. Two general strategies exist to reduce transmission risk: personal protective measures and area-wide chemical interventions. Attractive Targeted Sugar Bait (ATSB) systems leverage the sugar-feeding behavior of mosquitoes—critical for sustaining their flight, metabolism, development, and fecundity—by delivering oral toxicants through attractively formulated sugar baits. This study aimed to develop an optimized ATSB formulation …

Modeling Degradation In Li-Ion Batteries: Analyzing Single-Cell Degradation And Applying It To Customized Pack-Level, Mohannad Y. Alkhalil

Durham School of Architectural Engineering and Construction: Dissertations, Theses, and Student Research

The rapid expansion of lithium-ion (Li-ion) battery applications in areas such as electric vehicles (EVs), renewable energy storage, and portable electronics has drawn attention to the need for improving their performance, safety, and longevity. As Li-ion batteries become essential across technologies, understanding degradation mechanisms is critical for optimizing design and ensuring reliable operation. This work provides a detailed overview of modeling degradation in Li-ion batteries, focusing on single-cell behavior and its implications for pack-level performance.

The PyBaMM (Python Battery Mathematical Modeling) package, an open-source battery simulation tool written in Python, is used for single-cell simulations. Liionpack, another Python-based library, is …

Equity Vs. Excellence: Dichotomy Or Duo?, Nadjia I. Logans

Honors Program: Senior Projects (Public)

In this thesis, I investigate recent changes in mathematics education and how these developments connect to the principles of equity and excellence. I place a special focus on “active learning” methods. My methodology primarily consisted of interviews with educators, along with analyzing literature from math education researchers. I first define and explain the motivations behind active learning instruction methods. Next, I explore not only how instructors define equity and excellence but how educators perceive the role of the two principles within education. Finally, I challenge the pervasive media portrayal of equity and excellence as being mutually exclusive. Instead, I find …

A Semiotic Comparison Of Mayan And Egyptian Hieroglyphs In Relation To Cosmological Beliefs, Annmarie Vazquez

Department of Anthropology: Theses and Student Research

Hieroglyphs, as a formal writing system, encode information reflective of a culture’s beliefs and worldviews and comprise inscriptions that represent objects (logograms), ideas (ideograms), or sounds (alphabetic or syllabic).  In this thesis, I employ semiotics, the study of how meanings are created by signs and symbols, to investigate Late Classic Maya (~250-990 CE) and Middle Period Egyptian (2240- 990 BCE) hieroglyphs that are associated with cosmological beliefs. In particular, I focus on Egyptian and Mayan hieroglyphs of birds and snakes as well as many other hieroglyphs of nature and celestial bodies. A semiotic approach provides new insights into the understanding …

Culture And Context: How Frames Of Teaching And Of Learning Mathematics Form And Change For Graduate Student Instructors, Johan Benedict Arroyo Cristobal

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Why do instructors teach the way that they do? This question is key in understanding how and why asset-based or deficit-based practices are enacted in the classroom. In consequence, this question also gives insight into how the environment where students learn is shaped. Mathematics education research, in particular, has been concerned with how instructors respond to students’ contributions in the classroom and how these ways of responding can (dis)empower students.

One way to answer this question is to understand how instructors frame their own teaching and their students’ learning. Frames are mental constructs which help individuals filter details, interpret information, …

Understanding Pre-Harvest Hedging Behavior And Basis Forecasting: The Role Of Information In Grain Marketing, Iyore Eronmwon

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This dissertation examines decision-making under risk in grain marketing, focusing on how information influences behavior, attitudes toward accessible information, and methods for forecasting commodity basis. Through three essays, it explores the impact of information on hedging decisions, the determinants of information-seeking behavior, the extent to which students can serve as proxies for farmers in risk experiments, and the effectiveness of different forecasting approaches for commodity basis.

The first essay examines the impact of information on pre-harvest grain marketing hedging decisions and grain marketing information-seeking behavior. Specifically, it evaluates two types of information hypothesized to influence decision-making: expected cost of production …

Towards Advancing Streamflow And Peak Flow Prediction With Machine Learning: Identifying Infrastructure At Risk, Sudan Pokharel

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Due to climate change and its impact, the need for adaptive strategies for natural disaster mitigation and resource management has never been more urgent. Central to this is water resource management, which is essential for sustainable human activities, ecological balance, and the mitigation of natural hazards like floods. Streamflow is a crucial element of water resource management and plays a vital role in planning and building water infrastructure, implementing emergency response plans, supporting flood mitigation initiatives, and regulating agricultural and industrial use. However, accurate prediction of streamflow still remains a challenge due to the complex non-linear and non-stationary interaction between …

Robot-Integrated 4d Building Information Modeling (4d Bim): Framework For Planning Safe Autonomous Construction Operations In Dynamic Environments, Hafiz Oyedimeji Oyediran

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

In the construction industry, the use of autonomous robots is considered a solution to overcome the heavy reliance on human workers to perform repetitive, strenuous, and hazardous tasks. While these robots offer the advantage of autonomous operation, ensuring their safe and efficient integration within construction sites requires precise planning. Such planning must account for the varying project complexities such as scope, site layout, tasks, timelines, existence of human workers, and other spatiotemporal conditions of the construction site. Currently, there are no methods to safely plan autonomous robot operations considering these factors within the overarching construction planning process. Thus, autonomous robots …

Considerations And Techniques For Producing Urban Tree Canopy Maps Using Freely Available And Accessible Methods, Hugh Reed Ellerman

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Urban forests are valued as green infrastructure for the variety of benefits they provide across ecological, social, public health, and economic domains. To understand the distribution of trees, maps are required. Many methods of mapping tree cover use expensive and data-intensive datasets such as hyperspectral and LiDAR imagery, making these methods inaccessible to municipal forest managers. Variations in the modelling approaches of existing, freely available methods are not addressed in sufficient enough detail to understand the trade-offs implicit in these variations. Further, characteristics of urban tree canopy mapping (high spatial resolution imagery, heterogeneous urban environments, the importance of the tree …

Older Groundwater Reservoirs In Nebraska, Marvin P. Carlson, Steven S. Sibray

Conservation and Survey Division: Faculty and Staff Publications

Sedimentary rocks below Nebraska's regional water table are saturated down to the crystalline igneous and metamorphic rocks of Precambrian age. The total thickness of these sedimentary rocks ranges from about 600 feet to over 10,000 feet. Nearly all current wells in Nebraska produce water from the near-surface, unconsolidated or partly consolidated rocks. Most studies to date -- interpretive reports, test drilling, inventory of wells, monitoring water levels, and water quality determinations -- have concentrated on these near-surface sources of groundwater.

Water Holding Capacity Of Soil And Resilience To Drought, Taro Mieno

Cornhusker Economics

For the past two years, I have been involved in an NSF-funded research project titled “RII Track-2 FEC: Supporting Rural Livelihoods in the Water-Stressed Central High Plains.” The overarching goal of this project is to evaluate the potential of microbials and biochar to enhance soil water holding capacity (hereafter, WHC), thereby improving drought resilience in crop production and reducing irrigation demand to slow aquifer depletion. Visit the project website for more details. A key component of this research is assessing the economic viability of these interventions, a task for which I am responsible.

To understand the economic benefits of increasing …

Teaching As Advocacy: Bridging The Gap Between World Language Classrooms And Community, Xinquan Liu, Guy Trainin, Chunmei Guan, Hangxin Yu

Research and Evaluation in Education, Technology, Art, and Design

World Language education in the United States faces significant challenges, including declining enrollments and diminished community support. This paper introduces Teaching as Advocacy as a proactive framework to address these issues, proposing a mindset that integrates advocacy seamlessly into teaching practices. By leveraging community engagement and emphasizing "Connection" and "Community," the framework extends classroom learning into real-world contexts. Strategies such as cross-disciplinary collaborations, service-learning projects, partnerships with ethnic communities, and strategic use of social media amplify the impact of language education, demonstrating its value through tangible outcomes. This paper offers practical examples to showcase how Teaching as Advocacy revitalizes World …

Algorithms For Order Statistics In Farey Sequences: A Computational Study, Connor Weyers

School of Computing: Dissertations, Theses, and Student Research

Farey sequences are the sets of irreducible fractions in increasing order with denominator less or equal to some integer n. They are a well-known concept in number theory problems and are related to many other concepts in number theory including integer factoring, Fibonacci sequences, and Riemann’s Zeta function. In this paper, we investigate some known algorithms to solve certain problems in Farey sequences from a computational perspective. In particular, we implement established algorithms that have not been previously implemented with the goal of creating a package that can be used more broadly. We also develop a new algorithm for rational …

Water Current, Volume 57, No. 1, Spring 2025

Water Current Newsletter

No abstract provided.

Amplification In Mems Rlc Circuits For Enhanced Sensitivity And Mems Applications, Mutaz Mohd Hamdi Al Fayad

Durham School of Architectural Engineering and Construction: Dissertations, Theses, and Student Research

Micro-electro-mechanical systems (MEMS) have garnered significant attention due to their unique characteristics, including small size, high sensitivity, and cost-effective mass production. While electrostatic actuation offers low power consumption, it requires high voltage to move the MEMS structure, posing a challenge for applications such as RF switches and MEMS resonator-based sensors. Reducing the required input voltage for electrostatic MEMS remains a key research focus.

This thesis investigates voltage amplification in electrostatic MEMS through integration with resonant RLC circuits. By leveraging resonance, optimized configurations are designed to maximize voltage gain and enhance the signal-to-noise ratio. Through theoretical modeling and simulations using MATLAB …

Everyday Storytelling: The Function, Meaning, And Impact Of College Student's Storytelling And Storylistening, Sophie K. Richards

Department of Communication Studies: Dissertations, Theses, and Student Research

The current study investigated the stories that 102 college students heard and told through the course of a 1-day diary study with surveys administered at four timepoints. Investigated through the perspective of the small story framework (Bamberg & Georgakopoulou, 2008), everyday talk (Goldsmith & Baxter, 1996) and Communicated Narrative Sense-Making (CNSM) theory (Koenig Kellas, 2022), participants reported about the stories that they heard and told throughout their day, as well as completed self-report measures of well-being. The study aimed to understand the characteristics of everyday stories, the functions they serve, the meanings they hold, and their impact on well-being. Participants …

Enhancing Remote Sensing Imagery Temporal Resolution Using Starfm Data Fusion Approach For Improved Land Surface Monitoring, Ahmadreza Pourghodrat

School of Computing: Dissertations, Theses, and Student Research

High-resolution remote sensing imagery plays a critical role in various domains, such as farm-level agricultural operations, environmental monitoring, and natural resource management. However, data with high spatial resolution typically have low temporal resolution, and those with high temporal resolution often lack spatial detail. For example, Landsat 8 and 9 satellites deliver high spatial resolution images with a 30-meter pixel size but suffer from low temporal resolution, with a 16-day revisit cycle. In contrast, satellites like MODIS and VIIRS provide daily images but with a much coarser spatial resolution (375 meters or more), reducing spatial details. Additionally, there is a lack …

Journal Of The National Collegiate Honors Council (Spring/Summer 2025) 26(1): Whole Issue

Journal of the National Collegiate Honors Council Online Archive

Contents

Editorial Policy, Deadlines, and Submission Guidelines

Editor’s Introduction, Amy Mecklenburg-Faenger

Forum Essays on “AI in Honors”

Navigating Generative AI in Honors, Anne Dotter and Victoria M. Bryan

AI Responsibilization: Shifting the Burden of Academic Integrity, Daniel A. Cryer

Pull Up a Chair, Deep Blue: AI in Honors Education, Betsy Greenleaf Yarrison

Teaching AI Literacy Through Science Studies, Rhetoric, and Ethical Reasoning, Michael J. Klein and Philip L. Frana

News From the Front: How to Win the AI War, Christine Haverington

Harnessing the Power of AI in Honors: Equipping Students to Leverage Tools Effectively, Lindsey Roberts and Jesse Roberts

Another …

Navigating Generative Ai In Honors, Anne Dotter, Victoria M. Bryan

Journal of the National Collegiate Honors Council Online Archive

Considering the historical significance and pedagogical impact of educational technologies on teaching and learning in higher education, authors suggest that generative artificial intelligence creates more questions than solutions for honors practitioners. What might meaningful AI literacy look like throughout a multidisciplinary honors curriculum? To what extent will generative AI level educational inequities, or create new ones? If policing AI misuse is ultimately a losing battle, how might this understanding reshape assignment design, assessment practices, and even our definitions of academic dishonesty? Drawing on examples in current teaching practice, authors observe the two sides of generative AI—one holding powerful possibilities for …

Editor's Introduction, Amy Mecklenburg-Faenger

Journal of the National Collegiate Honors Council Online Archive

Editorial for Journal of the National Collegiate Honors Council (2025) 26(1), special issue on Forum on AI and Honors.

Ai Responsibilization: Shifting The Burden Of Academic Integrity, Daniel A. Cryer

Journal of the National Collegiate Honors Council Online Archive

Because AI text generators like ChatGPT give students unprece-dented power to outsource their work, concerns about academic integrity are escalating among instructors. This essay suggests that the proliferation of generative artificial intelligence in teaching and learning dramatically shifts the burden of academic integrity, typically shared between teachers and students, onto students. The concept of responsibilization, a defining feature of neoliberal societies in which individuals become responsible for costs and tasks once shouldered collectively, is a useful lens through which to view this new reality. Rather than policing students’ work, educators should recognize the new responsibilities conferred onto students by learning …

Pull Up A Chair, Deep Blue: Ai In Honors Education, Betsy Greenleaf Yarrison

Journal of the National Collegiate Honors Council Online Archive

Generative AI is the latest in a succession of technologies that allow us to do with machines what we used to have to do by hand. This essay argues that the elements of teaching in honors that can be automated probably should be and that it is the role of honors faculty to teach students how to distinguish superior thought from mediocre thought, good questions from great ones, and solid supporting evidence from weak or biased counterparts. Large learning models (LLMs) only collate what is already known and cannot teach thinking. As an information delivery system, AI can narrow the …

Teaching Ai Literacy Through Science Studies, Rhetoric, And Ethical Reasoning, Michael J. Klein, Philip L. Frana

Journal of the National Collegiate Honors Council Online Archive

Building on the idea of productive troublemaking, this essay presents a team-taught interdisciplinary honors course that integrates science and technology studies, rhetorical analysis, ethical reasoning, and artificial intelligence policy. Rather than framing AI as a threat, this course invites honors students to experiment with AI technologies and develop competencies by analyzing AI as a social and subjectivity-shaping phenomenon—writing policy briefs, producing rhetorical analyses of science fiction, and completing self-paced AI literacy modules. Honors education is uniquely positioned to model responsible and human-centered uses of intelligent systems, thereby cultivating graduates who can both use and critically interrogate the AI tools that …

News From The Front: How To Win The Ai War, Christine Haverington

Journal of the National Collegiate Honors Council Online Archive

While artificial intelligence is currently and justifiably a hot topic among scholars and university administrators, students are way ahead of the curve in terms of its use and application. Calling for educators to stop trying to catch AI “cheaters,” this essay provides evidence from honors and other classroom observations, student research on peer and faculty usage and attitudes, course evaluations, and external sources to demonstrate how and why generative AI can be creatively and effectively incorporated into teaching. Toward this end, practical pedagogical strategies are shared describing teaching modalities and innovative curricular design, avoiding the cognitive degradation of students, and …

Another “Tone Test” Moment: Authenticity, Ai, And The Admission Essay, Peter Tschirhart

Journal of the National Collegiate Honors Council Online Archive

Debates about “authenticity” are not new but cyclical, and insights from music history and performance studies can illuminate how we evaluate student work in an age of machine collaboration. At the turn of the twentieth century, Edison’s “tone tests” blurred the line between human and machine by staging performances in which audiences were challenged to distinguish live singers from phonographic recordings. These events inaugurated a century-long debate about authenticity in music, one that resonates strongly today as educators confront new challenges posed by large language models (LLMs). Drawing on Auslander’s (2023) account of liveness, authenticity in writing—like authenticity in music—can …