Digital Commons Network^™

Sars-Cov-2 Rna-Binding Protein Suppresses Extracellular Mirna Release, Hyejin Mun, Chang Hoon Shin, Qingxuan Fei, Andrea Estefania Lopez Giraldo, Kyoung-Min Choi, Ji Won Lee, Kyungmin Kim, Kyung-Won Min, Leilei Shi, Mark T Bedford, Dong-Chan Kim, Yoo Lim Chun, Seonghyun Ryu, Dongin Kim, Jeong Ho Chang, Ryan T Westrope, Michelle Shay, Edward Nguyen, Junho K Hur, Abigail Agyenda, Nam Chul Kim, Sung-Ung Kang, Woonghee Lee, Je-Hyun Yoon

Faculty, Staff and Student Publications

SARS-CoV-2 is the betacoronavirus causing the COVID-19 pandemic. Although the SARS-CoV-2 genome and transcriptome were reported previously, the function of individual viral proteins is largely unknown. Utilizing biochemical and molecular biology methods, we identified that four SARS-CoV-2 RNA-binding proteins (RBPs) regulate the host RNA metabolism by direct interaction with mature miRNA let-7b revealed by Nuclear Magnetic Resonance spectroscopy (NMR). SARS-CoV-2 RBP Nsp9 primarily binds mature miRNA let-7b, a direct ligand of the Toll-like Receptor 7 (TLR7), one of the potential SARS-CoV-2 therapeutics. Nsp9 suppresses host gene expression possibly by promoting let-7b-mediated silencing of a cellular RNA polymerase, POLR2D. In addition, …

Normalization Of Temperature Effects For Quality Assurance Of Quantitative Prostate Apparent Diffusion Coefficient Imaging Across Multiple Sites, Ken-Pin Hwang, Joshua Yung, R Jason Stafford, Caroline Chung, Aradhana M Venkatesan

Faculty, Staff and Student Publications

Background: Apparent Diffusion Coefficient (ADC) as measured by diffusion weighted imaging is known to negatively correlate with prostate tumor aggressiveness. Heterogeneity in system and protocol performance causes potential variability in ADC acquired across a large scanner network, prompting a need to evaluate quantitative ADC from a prostate-specific MR diffusion protocol as part of quality assurance (QA). Due to the temperature dependence of ADC, repeatability and reproducibility assessments typically require phantoms to maintain a temperature of 0°C, imposing a considerable burden when assessing large numbers of scanners.

Purpose: To develop a QA procedure at room temperature for assessing the reproducibility of …

Fusobacterium Sphaericum Sp Nov, Isolated From A Human Colon Tumor Adheres To Colonic Epithelial Cells And Induces Il-8 Secretion, Martha A Zepeda-Rivera, Yannick Eisele, Alexander Baryiames, Hanrui Wu, Claudia Mengoni, Gianmarco Piccinno, Elsa F Mcmahon, Kaitlyn D Lacourse, Dakota S Jones, Hans Hauner, Samuel S Minot, Nicola Segata, Floyd E Dewhirst, Christopher D Johnston, Susan Bullman

Faculty, Staff and Student Publications

Cancerous tissue is a largely unexplored microbial niche that provides a unique environment for the colonization and growth of specific bacterial communities, and with it, the opportunity to identify novel bacterial species. Here, we report distinct features of a novel Fusobacterium species, F. sphaericum sp. nov. (Fs), isolated from primary colon adenocarcinoma tissue. We acquire the complete closed genome and associated methylome of this organism and phylogenetically confirm its classification into the Fusobacterium genus, with F. perfoetens as its closest neighbor. Fs is phenotypically and genetically distinct, with morphological analysis revealing its coccoid shape, that while similar to …

Eyewitness Consent To Be Video Recorded: Implications For Identification Accuracy And Confidence, Sarah Argüelles

Student Theses

Recently, a recommendation has emerged for law enforcement to record the full eyewitness identification procedure, recognizing the critical role eyewitness testimony plays in the justice system (Wells et al., 2020). However, in some states, such as New York, law enforcement is required to seek consent from witnesses before recording (Municipal Police Training Council & Division of Criminal Justice Services, 2017). Since this practice is relatively new, there has been limited research on how obtaining consent may affect eyewitness accuracy. It was hypothesized that obtaining consent to video record could be linked to a witness’s confidence in their identification, with higher …

Impacts Of Halophila Stipulacea Invasion On Organic Matter Dynamics In Thalassia Testudinum Dominated Seagrass Meadows, Puerto Rico, Jonathan D. Herald

Master's Theses

Halophila stipulacea (Forsskål & Niebuhr) is a tropical seagrass native to the Red Sea, Persian Gulf, and Indian Ocean. In 2002, invasive populations of H. stipulacea were identified in the Caribbean Sea where it now forms large meadows, displaces native seagrasses, alters invertebrate and fish communities, and potentially affects organic matter dynamics in invaded meadows. This study investigated differences in organic matter dynamics between meadows of H. stipulacea and native Thalassia testudinum within the Jobos Bay National Estuarine Research Reserve (JBNERR) on the southern coast of Puerto Rico. From March 2023-March 2024, sampling was conducted across four sites to investigate …

Effects Of Urbanization On The Population Genetics And Morphology Of The White-Footed Mouse (Peromyscus Leucopus) Across An Urban–Rural Gradient, Sydney A. Morton

Master's Theses

Urbanization alters landscapes in ways that can reshape wildlife populations by changing habitat connectivity, resource availability, and selective pressures. To investigate how urbanization influences both genetic differentiation and morphology in small mammals, I examined Peromyscus leucopus (PELE) across an urban–rural gradient in northern Georgia. Using RADseq SNP data from PELE individuals across 13 sites, I quantified pairwise genetic differentiation (F_ST) and tested how various environmental variables, including impervious surface cover, human population density, and tree canopy cover, predict genetic differentiation after accounting for geographic distance. Genetic differentiation increased with geographic distance and, after controlling for isolation by …

The Interplay Between Structure And Teacher Agency In The Detracking Of Algebra 1: A Qualitative Case Study, Kristine Norris

Dissertations

This single qualitative case study examined how detracking Algebra 1 at Mountainview High School (pseudonym) restructured the course’s rules and resources and how teachers exercised agency in response. Guided by Giddens’ structuration theory and Weis and Fine’s critical bifocality, the study explored how institutional structures both shape and are reshaped by teacher action within broader systems of inequality. Participants were seven Algebra 1 teachers involved in the first two years of detracking. Data was gathered using semi-structured interviews and analysis focused on two research questions: (1) In what ways did detracking alter the structures of Algebra 1 courses, and (2) …

Imagine The Peace: Exploring The Intimacy Of Imagined Intergroup Contact In Kosovo, Eric Manley

Dissertations

Peacebuilders have utilized positive intergroup contact in various settings to help groups encounter each other. I implemented three different intimate imagined contact scenarios in Peja, Kosovo with Albanian and Serb participants. I conducted this research to understand how multiple intimate social settings could impact individuals’ encounters with the outgroup during each imagined scenario, thus gathering better operationalization efforts regarding intimacy and imagined contact. Using written responses, interviews, and one-year follow-up interviews, the café and workplace scenarios created a positive experience for most participants, and while half of participants had a positive experience with the fiancé scenario, many more had negative …

Raise Your Digital Hand – Multilingual Learner Student And Teacher Perceptions Of Live Digital Feedback, Naveed Khan

Dissertations

Teachers of Multilingual Learners (MLs) must support students with varying English proficiency as they work toward meaningful academic progress. One promising support is live digital feedback, which can be multimodal—written, typed, drawn, or audiovisual—and serves as an added scaffold as MLs work within their zone of proximal development (ZPD). This qualitative case study examined ML student and teacher perceptions of live teacher and peer digital feedback in one-to-one (1:1) classrooms, grounded in sociocultural theory, effective feedback, and multimodality. The research questions focused on the types of feedback provided by teachers and peers and how ML students—both recipients and peer helpers—and …

A Human Factors Analysis And Classification System (Hfacs) Approach To Compare Cardiovascular, Orthopedics, Trauma Care, And Neurosurgery, Asfandyar Khan

Doctoral Dissertations and Master's Theses

Background: Despite significant progress in patient safety, human error continues to occur at high rates in procedural settings. Traditional safety models tend to focus on retrospective incident analysis, often overlooking the systemic conditions that allow errors to occur. The Human Factors Analysis and Classification System (HFACS) offers a proactive lens to understand how and where errors emerge and is useful for identifying active and latent failures.

Objective: To evaluate the utility and reliability of the Human Factors Analysis and Classification System (HFACS) in categorizing and comparing the pattern of frequencies (events) in cardiovascular, orthopedic, trauma care, and neurosurgical procedure.

Design, …

Thermal Management With Supercritical Carbon Dioxide Under Extreme Applications, Devon Hardy

Doctoral Dissertations and Master's Theses

A unique challenge in thermal system design is minimizing the power required to operate cooling systems while maintaining effective heat removal. Traditional cooling systems utilize single-phase fluids where the heat transfer mechanisms are well understood. To meet a variety of cooling demands, a range of technologies are available, including microchannel forced convection, jet impingement, porous media, nanofluids, pin fin arrays, and film cooling, each offering distinct advantages and limitations. While the performance of single- or two-phase cooling systems are generally predictable, in extreme thermal environments, new cooling solutions are needed to improve overall system efficiency and reliability.

Supercritical fluids, particularly …

Propeller Noise Prediction Of An Urban Air Mobility Vehicle In Urban Environment, Jie Hua

Doctoral Dissertations and Master's Theses

Urban Air Mobility (UAM) vehicles operate in complex, unsteady aerodynamic environments where wake interactions, gust and turbulence significantly affect both performance and noise generation. Understanding these mechanisms is critical for developing quieter and more efficient eVTOL systems that meet future community noise and certification requirements. This dissertation focuses on the high-fidelity numerical investigation of propeller noise in three representative unsteady loading scenarios: (i) transition (tilt) flight, (ii) edgewise inflow, and (iii) wake–propeller interaction. Each case emphasizes different physical mechanisms that dominate noise generation in UAM operations. Hybrid turbulence-resolving approaches—Detached Eddy Simulation (DES) and Delayed Detached Eddy Simulation (DDES)—are coupled with …

Further Evaluation Of Speed Tables On Roadway Curves: Simulation And Expeditionary Deployments, Nathan Reineke

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

The road network leading up to a United States military base is known as an Entry Control Facility, or ECF. Entry control facilities are used to shield military installations by monitoring vehicles and refusing access to unauthorized vehicles. Passive control devices, including speed tables, are used to disrupt or delay threat vehicles attempting to navigate ECFs at high speeds. The purpose of this research was to recommend optimized configurations of speed tables in combination with roadway curves which allow safe, efficient traversal for authorized vehicles and disruption or delay for threat vehicles.

First, an analytical model of a Tesla Model …

Two Essays On Agricultural Trade Policy And Total Factor Productivity, Hanifi Otgun

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

This dissertation consists of two essays: the first examines the welfare and trade implications of the 2016–2017 drought in Brazil and the subsequent temporary import ban on Robusta coffee; the second examines how trade openness influences agricultural total factor productivity across 26 NUTS-2 regions in Türkiye from 2013 to 2020.

The first essay focuses on Brazil, a major Robusta coffee producer and exporter that faced a significant drought in 2016–17, reducing Robusta output. In response, the government initially allowed one million 60-kg bags of Robusta coffee to be imported. An import ban was imposed shortly afterward due to lobbying by …

Detecting Prescribed Fire, Haying And Grazing Events Via Remote Sensing To Create Grassland Disturbance Landcovers For The Ring-Necked Pheasant (Phasianus Colchicus), Megan Amy Baldissara

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

This dissertation developed disturbance detection models to fulfill the need for remote sensing landcover products describing grassland structure. The use of landcover products derived from remote sensing is increasing over time in pheasant (Phasianus colchicus) research. Such landcover, however, does not provide relevant pheasant structural habitat information (Chapter 1). Pheasants require tall, high-density grassland for nesting, tall grassland with medium density for brood rearing, and tall grassland for wintering. Time since disturbance can serve as a proxy for structure, as it shapes vegetation by removing biomass and resetting succession. Disturbance is easier to detect than structure with current …

Real-Time, Co-Regulated Design For Cyber-Physical, Multi-Rotor Uas Swarms, Grant Simon Phillips

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

Uncrewed Aerial Systems (UAS) have been integrated into a wide range of research and industrial applications, with growing interest in extending mission duration and spatial coverage through coordinated multi-UAS systems, or swarms. While swarming offers the potential for extended mission endurance and robustness through advanced path-planning, control, and estimation algorithms, significant challenges arise when implementing these methods on decentralized platforms composed of size, weight, and power-constrained (SWaP) vehicles. Limitations in onboard computational capacity and congested communication channels can break critical design-time assumptions, which at best, will degrade application quality of service, and at worst, destabilize the fleet through excessive delays …

Riding The Waves Of Power: Power Fluctuation, Cognitive Energy, And Goal Pursuit, Hae-Lueng Rose Kim, Trevor A. Foulk, Michael Schaerer, Jake Gale, Eric A. Anicich

Research Collection Lee Kong Chian School Of Business

A central finding in the power literature is that experiencing elevated power facilitates employees’ goal-relevant cognitions and behaviors. In this work, we suggest that the relationship between power and goal pursuit is more complex than previously assumed. Specifically, we examine how experiencing power fluctuation—alternating states of high and low power during the workday—can uniquely promote employees’ goal-relevant behaviors beyond the effect of static power. Integrating insights from the Dynamic Equilibrium Model of Organizing (DEMO) and the Model of Proactive Motivation (MPM), our work demonstrates that power fluctuation can facilitate employees’ cognitive energy, in a way that enhances their goal-relevant cognitions …

Over-Reliance On Aesthetics? The Appearance-Reveals-Character Lay Theory Increases Consumers’ Devaluation Of Unattractive Produce, Shilpa Madan, Krishna Savani, Gita Venkataramani Johar

Research Collection Lee Kong Chian School Of Business

Approximately 40% of all produce is rejected because it appears unattractive, contributing significantly to food waste. Whereas previous research attributes this devaluation to the ugly-is-bad effect, this research identifies an important moderator of consumers’ reliance on this heuristic: the lay theory that a person’s outer appearance reveals their inner character. Specifically, consumers who believe that people’s appearances reveal their character are less willing to accept unattractive (vs. attractive) produce because they generalize their lay theory to produce and are, thus, more likely to infer that unattractive produce is of lower quality. Consumers who do not hold the lay theory do …

Growing Up Under Mao And Deng: On Politician Ideology And Corporate Policies, Hao Liang, Rong Wang, Haikun Zhu

Research Collection Lee Kong Chian School Of Business

We provide firm-level evidence on how politicians’ ideologies shape economic outcomes, using a unique setting of ideological discontinuity in China, transitioning from Maoism to Dengism around 1978. We find that ideological exposure during a politician’s early adulthood has a lasting impact on contemporary firm policies in their city. Firms governed by “Maoist mayors” show greater stakeholder spending, lower pay inequality, and less internationalization compared with those governed by “Dengist mayors.” Further evidence suggests that politicians’ ideologies influence corporate behaviors through nonpolicy channels, and these results cannot be fully explained by selection bias, endogenous matching, or the age of the mayor.

Fungicidal Management Of Spring Dead Spot Using Improved Modeling And Application Strategies, Michael Vincent Battaglia

Graduate Theses and Dissertations

Spring dead spot (SDS) is a destructive disease of bermudagrass (Cynodon Rich. spp.) in parts of the world that experience winter dormancy. Fungicides are often necessary to properly manage SDS, and significant research has been conducted to improve fungicidal effectiveness. Several studies were conducted with the objectives of improving fungicide application timing, method of fungicide application, and long-term fungicidal efficiency. In the fungicide application study, a cooling degree-day (CDD) model based on soil temperatures was developed. The CDD model showed that isofetamid was highly effective against SDS during a wide application window in autumn, while tebuconazole was inconsistently effective and …

National Hero And Water Deity: The Worship Of Triệu Việt Vương In The Red River Delta, Vietnam, Huong Thi Nguyen

Graduate Theses and Dissertations

In my dissertation, the theory of collective memory will be deployed to address many questions regarding retaining, recovering, and re-creating the worship of King Triệu Việt Vương. He was a legendary, historical king of Vietnam who supposedly lived in the 6th century. His achievements were connected to the people living in the Red River Delta in their fight against the Liang invasion. The villagers who lived near or in this area also honored him for his spiritual power. They built a small temple/ shrine right by the riverbank to worship this King. The Vietnamese dynasties, Ly (in the 11th century), …

Machine Learning-Enabled Safety-Critical Model Predictive Control For Uncertain Dynamical Systems, Hossein Nejatbakhsh Esfahani

All Dissertations

This dissertation explores the interactions between Model Predictive Control (MPC), Safety-critical Control, and Artificial Intelligence (AI)/Machine Learning (ML) methods, with a particular focus on Reinforcement Learning (RL) and Bayesian Optimization (BO). We then leverage AI/ML to address several challenges in the control design and safe operation of uncertain dynamical systems. In many applications, ranging from autonomous vehicles and robotics to energy systems and industrial processes, ensuring safety is as essential as satisfying control objectives. The use of Control Barrier Functions (CBFs) within the MPC framework recently has emerged as a powerful tool to guarantee safety by enforcing constraints in optimal …

Reverse (Bio)Engineering: A Machine Learning Approach To Optimize Baseball Pitcher Health And Performance, Robert C. Moore

All Dissertations

Ball tracking systems are becoming ubiquitous in sport, creating an unprecedented opportunity for big data applications to optimize human health and performance. These applications are especially common in baseball, a sport known for analyzing ball flight data to quantify performance. Analysts routinely use ball flight data to identify the attributes of top performing pitchers, finding that the best pitchers throw with optimal combinations of release speed and spin to precise locations. However, for certain pitchers, the throwing motion required to produce optimal ball flight places exceedingly high biomechanical load on the elbow, and consequently injury rates continue to rise. This …

Virtual Coaching: Ushering In A New Era In School Improvement, Tygere Alisha West Charles

All Dissertations

This research study examined virtual coaching as a vehicle for principal professional development. The study focused on coaching a principal in a rural, low-performing, high-poverty South Carolina school district to improve support for teachers and students. This study explored virtual coaching and is rooted in improvement science as measured by plan-do-study-act (PDSA) cycles (Bryk et al., 2017). It explored how virtual coaching supported a rural principal’s professional development needs.

Principals must be transformational leaders who balance their support needs and accountability while meeting the needs of the diverse stakeholders they serve. Ongoing professional development is an essential component in helping …

Leveled Homomorphic Encryption Schemes: Noise And Precision Control, Kyle Yates

All Dissertations

Homomorphic encryption allows for computations on encrypted data without exposing the underlying plaintext, enabling secure and private data processing in various applications such as cloud computing and machine learning. In this thesis, we conduct a comprehensive worst-case noise analysis for three prominent leveled homomorphic encryption schemes: Brakerski-Gentry-Vaikuntanathan (BGV), Brakerski-Fan-Vercauteren (BFV), and Cheon-Kim-Kim-Song (CKKS). We propose modifications to these schemes and their residue number system (RNS) variants, ensuring fresh encryption noise falls under a constant bound. For BFV and BGV, we design and prove parameter conditions which guarantee certain homomorphic circuit evaluations return ciphertexts containing noise within a fixed bound. For …

Drivers Of Faunal Communities In Isolated Wetlands: Local And Landscape Determinants Of Assemblages, Joshua Holbrook

All Dissertations

Ecological interactions such as predation are vital to shaping the distribution of organisms. For interactions to occur, organisms must undertake movement, such as dispersal, that places them in proximity to the organisms with which they may interact. Geographically isolated wetlands (GIW) are productive and biodiverse ecosystems, but little is known on broad geographic scales about the determinants of their fauna. Fishes have difficulty colonizing GIW, whereas amphibians and macroinvertebrates are adept overland dispersers – though they may be sensitive to top-down control by fishes. To better understand these phenomena, I sampled 10-20 wetlands each at nine regions in North and …

Hybrid Learning For Rough Terrain Navigation Of Actively Articulated Wheeled Vehicles, Dhruv Mehta

All Dissertations

Conventional wheeled ground vehicles have been used for rough terrain navigation in the recent years. They consist of a chassis connected to wheels through passive, semi-active, or active suspension systems. However, their fixed configurations limit mobility and maneuverability, constraining their ability to autonomously navigate diverse and rough terrains. Autonomous Ground Vehicles (AGVs) face significant challenges in this regard, including varying terrain roughness, soil hardness, and obstacle crossing.

To address these limitations, Actively Articulated Wheeled Vehicle (AAWV) architectures have recently emerged, offering real-time geometric adaptability. AAWVs have chassis and wheels connected via articulated serial or parallel linkages. However, increased articulation introduces …

Data-Driven Discovery Of Finite-Dimensional Koopman Operator For Modeling And Control Of Uncrewed Ground Vehicles, Ajinkya Joglekar

All Dissertations

This dissertation advances data-driven modeling and adaptive control techniques for Uncrewed Ground Vehicles (UGVs), with a focus on autonomy in mission-critical and safety sensitive environments. UGVs are deployed across a wide spectrum of domains, from structured manufacturing shop floors to unstructured off-road terrains, including planetary exploration, precision agriculture, and disaster response. These platforms, operating in dull, dirty, and dangerous conditions, demand autonomy that is both adaptable and robust. While traditional model-based control methods offer interpretability and robustness, they struggle with unmodeled dynamics, parameter variations, and integration of high-dimensional sensing. Conversely, modern machine learning approaches can directly exploit sensory data but …

An Experimental Evaluation Of A Gamified Learning Approach To Address Bullying Knowledge, Perceptions, And Self-Efficacy Among Elementary Students: Playing Yozgoo In Albania, Sashen Rexhepaj

All Dissertations

This study evaluated the effectiveness of Yozgoo's web-based gamified educational intervention in enhancing elementary school students’ knowledge, attitudes, and self-efficacy related to bullying prevention in Albania. Utilizing a true experimental pre-test and post-test control group design, the study involved 120 students (ages 10-12) equally divided by gender and randomly assigned to either an experimental group (n = 60) or a control group (n = 60). The experimental group participated in Yozgoo gameplay sessions over six to eight weeks, while the control group engaged in standard activities without exposure to the intervention.

Three validated measures were administered to assess outcomes: …

Digital Reflections: Evaluating Body Dissatisfaction In Xr Through Eye- And Body-Tracked Virtual Humans, Deyrel Diaz

All Dissertations

In an era where digital and physical realities increasingly intertwine, the perception of body image is undergoing a significant transformation. Traditional understandings of body dissatisfaction, long studied in relation to psychological distress and eating disorders, are now being reshaped by technologies such as Virtual Reality (VR), Augmented Reality (AR), and Artificially Intelligent (AI)- generated media. These technologies have introduced novel ways of experiencing and interacting with the human form, raising critical questions about their impact on self-perception and internalization of beauty standards.

As virtual representations become more prevalent in entertainment, social media, and interactive platforms, it is becoming more crucial …