Digital Commons Network^™

Network And Tree-Based Approaches To Data-Driven Modeling Of Complex Climate Systems, Adam M. Giammarese

Theses

The guiding thread throughout this thesis work is data-driven modeling of Earth's climate. We investigate a variety of settings within the field of complex climate systems, such as gridded, high-resolution reanalysis data, lower-resolution climate indices, and incomplete paleoclimate records with missing values. We begin with reanalysis data of high spatial and temporal resolution, and use climate network analysis to uncover hidden trends in the data in regards to the Amazon rainforest and its changing role in the global climate system. We introduce a novel formulation of k-nearest neighbors climate networks to study changing trends at a local level, and apply …

Utilizing Natural Language Processing To Optimize Business Processes, Olt Kondirolli

Theses

This Capstone project explores the potential of Natural Language Processing (NLP) techniques in optimizing decision-making and organizational workflows across various domains. The Capstone project uses three case studies to demonstrate how sentiment analysis, frequency analysis, and topic modeling can analyze unstructured textual data to provide insightful findings. The first case study evaluates employee satisfaction using sentiment analysis, uncovering trends across departments and roles to guide targeted organizational interventions. The second case study focuses on student feedback at a higher education institution, using sentiment and frequency analyses to identify key areas for improvement in academic programs and services. The third case …

Put-In Bay Current Conditions Report, Molly Schnoke, Jack Yochum, René-Simone Martin

All Maxine Goodman Levin School of Urban Affairs Publications

This document serves as a current conditions report for the Put-In-Bay island chain of North, Middle, and South Bass Islands in Lake Erie. The following sections will cover financial, tax, and levy data; the geographic context of the three Bass Islands, including the land area of the Township and governmental structure; percentage of public and privately-owned land summary; public education; and demographic, housing, and economic data for the households on the islands.

Eco-Friendly Additives For Biodegradable Polyesters: Recent Progress In Performance Optimization And Environmental Impact Reduction, Ahmad Fayyazbakhsh, Nima Hajinajaf, Hamed Bakhtiari, Michael Feuchter, Ilaria Improta, Ehsan Salehi, Sara Kamal Shahsavar, Marketa Julinova, Amirehsan Ghasemi, Bita Ghasemi, Reza Afsharnia, Marek Koutný, Young Cheol Chang

Research outputs 2022 to 2026

Biodegradable polymers have emerged as principal alternatives to petroleum-based polymers, which exert a detrimental impact on the environment. Among these, biodegradable polyesters stand out as particularly noteworthy, renowned for their exceptional properties that find application across diverse industries, including food packaging, biomedical devices, and agriculture. This comprehensive analysis delves into the impact of various additives, with a focus on eco-friendly ones, on biodegradable polyesters, as evidenced by recent research endeavors. The additives are systematically categorized to provide a nuanced understanding within distinct industrial contexts. In the exploration of these additives, a meticulous classification is employed, ensuring a focused analysis of …

Conservation Management Effects On Soil And Agronomic Properties In A Furrow-Irrigated Corn System In East-Central Arkansas, Jeferson P. Pimentel, Christopher G. Henry, Kris R. Brye, Benjamin R. Runkle, Amanda J. Ashworth, Edgar Mersiovsky, Kevin C. Thompson

Biological and Agricultural Engineering Faculty Publications and Presentations

Cover crops can improve soil physical properties and help to sustain agricultural crop yields. A 6-year study conducted from 2017 to 2022 examined the effects of conservation soil management practices in a furrow-irrigated continuous corn (Zea mays L.) system on a silt-loam soil (Typic Albaqualf) in the Lower Mississippi River Delta region of eastern Arkansas. This study compared the effects of conventional tillage (CT), no-tillage (NT), and no-tillage with cover crops (CC) in selected soil physical and chemical properties (i.e., soil bulk density (D b), porosity (& fnof;t), field capacity (Theta FC), Permanent wilting point (Theta PWP), Plant available water …

Where There Is No Equity Engine: Unequal Geographies Of Collegesuccess For Low-Income Studen, Becca Spindel Bassett

Counseling, Leadership, and Research Methods Faculty Publications and Presentations

Very few four-year American colleges and universities consistently enroll and graduate substantial proportions of low-income students. The outlier institutions that do-institutions I term Equity Engines-are vital social resources for both low-income students and our democratic society. Yet like other valuable resources, they are unevenly distributed across the United States. Drawing on geospatial analysis and bivariate mapping, I examine the relationship between access to and need for Equity Engines across states and within them. Moving from the state to the census tract level, I find compounding geographic barriers to bachelor's degree completion in southern states. These states have high rates of …

Performance Characterization And Mechanistic Study Of Dry Process Wr/Sbs Composite Modified Asphalt Mixture, Hongfu Liu, Xiangyang Ren, Wenwen Ge, Zhengwei Yi, Dongzhao Jin, Xinghai Peng, Songtao Lv

Michigan Tech Publications

The dry process modification is characterized by simplicity, flexibility, low energy consumption, and low pollution, making it an ideal choice in pavement repair engineering. This study aims to optimize the use of waste rubber powder and SBS modifiers in dry process composite modification by preparing dry process WR/SBS composite modified particles (WR/SBS CMP) using a twin-screw extruder. The optimum mixing content of modified particles was determined through comparative analysis of pavement performance of dry process WR/SBS composite modified, wet-process SBS-modified, and matrix asphalt mixtures. The rheological properties and modification mechanism of the asphalt binder extracted from these mixtures were tested …

Patients V. Profits: Addressing Private Equity’S Incursion On Healthcare, Michael Mccarthy

Washington and Lee Law Review

Between 2013 and 2023, private-equity-sponsored investment funds spent one trillion dollars on healthcare acquisitions, targeting hospitals, physician practices, and specialty providers. This Note examines the growing role of private equity in the US healthcare system and its implications for cost, quality, and competition.

ring struggling hospitals and medical practices much-needed capital and managerial expertise. In practice, however, prevalent private equity practices often create moral hazards by prioritizing short-term financial gains over long-term community health. Their reliance on debt, short investment horizons, and consolidation strategies can translate into higher prices, compromised care, and anticompetitive behavior. Mounting empirical studies reinforce these concerns, …

Aircraft Bird Strike Risk Prediction Using Machine Learning And Analytic Hierarchy Process, Jason Anthony Powell

Doctoral Dissertations and Master's Theses

To address the limitations of Next Generation Radar-based bird strike forecasting, this study modeled 12 spatiotemporal weather features from the National Oceanic and Atmospheric Administration alongside bird strike risk using Long Short-Term Memory Recurrent Neural Network (LSTM-RNN), XGBoost regression tree, and Bayesian network algorithms. Five years of bird strike data from four geographically diverse airfields served as the target risk variable, categorized as low, moderate, or severe based on Department of the Air Force risk models. The ensemble model, which combines the LSTM-RNN and XGBoost regression algorithms, yielded the most accurate forecasts, achieving 80% to 93% accuracy across all airfields, …

Emerging Biomimetic Drug Delivery Nanoparticles Inspired By Extracellular Vesicles, Viswanathan Sundaram, Santosh Aryal

Pharmacy Faculty Publications and Presentations

Nanoparticles (NPs) made up of cellular components such as extracellular vesicles (EVs) with a biomimetic outlook have emerged as a revolutionary approach in nanomedicine, providing significant benefits for targeted drug administration, immunotherapy, monitoring therapeutic response, and diagnostic applications. Utilizing the distinctive characteristics of natural cell membranes, membrane proteins, and cellular contents, these biomimetic NPs acquire essential biological functions from their source and biogenesis, including immune evasion, extended circulation, and target recognition, rendering them optimal candidates for therapeutic applications. This review offers a comprehensive examination of the methodologies of EVs infused with synthetic.

Exploring Veteran And Non-Veteran Nursing Student Satisfaction Utilizing Marginality And Financial Stress, Juanita Nickols

Nursing Theses and Dissertations

It is widely recognized that there is a nursing shortage in the U.S. due to a growing aging population, nurses retiring, and a low nursing school capacity. Nursing schools can ameliorate part of this shortage by devising ways to increase nursing student success and graduation rates. This three-manuscript paper aims to present various ideas to help nursing schools in this endeavor. A relatively unstudied population is the veteran nursing student (VNS), the focus of this paper. The first chapter, Chapter 2: A Concept Analysis of Overload: Implications for Undergraduate Nursing Students Success, discusses the concept of overload so the …

Functionalization And Characterization Of Liposomes For Targeted Drug Delivery, Kayla Lee, Daniel Fologea, Lizbeth Calvillo, Ana Flacau, Patrick Jude, Maila Honcik, Daniel Robertson

Idaho Conference on Undergraduate Research

Liposomes are among the most widely used nanocarriers for drug delivery due to their exceptional biocompatibility and ability to passively accumulate at tumor sites, both of which contribute to enhanced therapeutic efficacy. However, despite these advantages, targeting specificity remains limited, often leading to off-target drug release and elevated systemic toxicity. Moreover, liposomes are generally engineered with a predefined target during production, substantially narrowing their post-production versatility. To address these limitations, surface modification of liposomes is employed to improve targeting specificity and versatility in a time and cost-effective manner. Here, we propose post-production functionalization of liposomes by employing Function-Spacer-Lipid (FSL) constructs …

Drone Delivery Of Bioweapons: Responsibilities For Force Readiness, James Giordano, Diane Dieuliis

Strategic Forums

This Strategic Forum by Dr. James Giordano and Dr. Diane DiEuliis explores the convergence of drone technology and emerging biotechnologies. This includes synthetic biology, gene editing, and nanoscale biomaterials, and their implications for military readiness and national security. It examines how these dual-use technologies could enable novel delivery methods for biological agents, expanding the threat landscape and lowering technical barriers. The analysis emphasizes the need for proactive defense planning, enhanced detection and countermeasures, and integrated strategies to mitigate risks, ensuring force readiness in the face of evolving biological threats.

Marketplace Summer 2025, Southern Adventist University

MarketPlace - School of Business Newsletter

The Summer 2025 issue of MarketPlace features an articles by Florence Merryman, '05 and Franklin Farrow, '93, and information on Southerns' Enactus chapter serving in Uganda,

Statistical Monitoring Of Hard Faults In Digital Systems, Dany Akshay Deep Isukapalli

Electrical Engineering Theses and Dissertations

Achieving a high test coverage is crucial for helping to ensure that integrated circuits are working correctly and are non-defective. Although scan-based structural tests are used throughout the industry, high-level functional tests may be needed to detect some defects— especially those that are environmentally sensitive. Unfortunately, the character of functional test makes it difficult to obtain high coverage, and it is even hard to estimate coverage because fault simulation times of large circuits are long. As a result, some method is required for predicting the ability of a functional test that has not been fault simulated to detect defects. In …

Sel Integration Into The Kindergarten Curriculum, Brooke Kingsley

Master's Theses & Capstone Projects

This inquiry-based research project investigates the effectiveness and efficiency of integrating social emotional learning (SEL) into the kindergarten curriculum. With a growing number of young learners entering school lacking foundational emotional regulation and social skills, the study examines how explicit SEL instruction can be embedded meaningfully into daily academic routines. The researcher used qualitative methods, including teacher surveys, reflective journaling, literature review, and analysis of classroom behavior artifacts from a rural Iowa school district. Six kindergarten teachers participated in the survey, providing insight into current SEL integration strategies, perceived effectiveness, and common barriers. Results showed that while all teachers integrate …

Project-Based Learning Vs Traditional Teaching Methods, James Kingsley

Master's Theses & Capstone Projects

This study explored how teachers compare Project-Based Learning (PBL) with traditional teaching methods in elementary classrooms. Many schools today still rely heavily on lectures, worksheets, and test-based instruction, which can leave students feeling disconnected and unmotivated. This research began with the problem that students often lose interest in learning when it feels disconnected from the real world. The purpose of this study was to better understand teacher's perspectives on PBL and whether they believe it increases student engagement, learning, and life skills. Using a mixed-methods survey with both multiple choice and open-ended questions, the study gathered responses from elementary educators …

Crosssections, Summer 2025, University Of Northern Iowa. Department Of Physics.

CrossSections

Contents:

A Message from the Department Head, Dr. Paul Shand --- 1
Department Happenings --- 3
Faculty Profile - Takeshi Yasuda --- 7
Student Profile - Brandon Schmidt --- 8
Student Research --- 9
Student Focus --- 10
Physics Education --- 13
Alumni Profile - Roger Burkhart --- 14
Alumni News - Sterling Hartman --- 16
New Physics --- 17

Research On Traditional Family Values Incorporating Data Enhancement And Transfer Learning, Qiaoling Chen, Hao Wang, Xiaomin Li

Journal of Scientific Information Research

[Purpose/significance] This research conducts in-depth exploration and knowledge discovery of ancestral hall couplets, a critical carrier of traditional family ethics, to facilitate their adaptive inheritance in contemporary society while introducing innovative perspectives and methodologies to the field.

[Method/process] We constructed a hierarchical classification system for traditional family values by synthesizing academic consensus, then developed the Annotation Keyword Data Enhancement(AK-DA-SKB-TC) model using idiomatic allusions with annotated keywords as source data and couplets as target data. Leveraging transfer learning, we achieved automated family tradition classification for couplets, followed by rigorous reliability validation. Multi-dimensional analysis of classification results uncovered evolutionary patterns and contextual …

Students Earn Nsf Fellowships And Honorable Mentions, Jordan Karnbach

University of Mississippi News

OXFORD, Miss. – The National Science Foundation has recognized three University of Mississippi students for their research in engineering and chemistry through the 2025 NSF Graduate Research Fellowship Program.

Using The Observational Medical Outcomes Partnership Common Data Model For A Multi-Registry Intensive Care Unit Benchmarking Federated Analysis: Lessons Learned, Aasiyah Rashan, Daniel P Püttmann, Nicolette F De Keizer, Dave A Dongelmans, Ronald Cornet, Otavio Ranzani, Wangari Siika, Matthew Smith, Steve Harris, Abi Beane

Anaesthesiology, East Africa

Objective: Federated analysis is a method that allows data analysis to be performed on similar datasets without exchanging any data, thus facilitating international research collaboration while adhering to strict privacy laws. This study aimed to evaluate the feasibility of using federated analysis to benchmark mortality in 2 critical care quality registry databases converted to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM), describing challenges to and recommendations for performing federated analysis on data transformed to OMOP CDM.

Materials and Methods: To identify as many challenges as possible and to be able to complete the benchmarking phase, …

Beyond Chatbots: The Emergence Of Autonomous Ai Agents In Libraries, Nikesh Narayanan

All Works

This chapter explores how generative AI and agentic AI are redefining library services through enhanced interactivity, personalization, and scalability of support. The rise of machine learning, and specifically natural language processing (NLP) with large language models, brought a new wave of capabilities to library chatbots. Moving beyond single-turn question-answering chatbots, the concept of autonomous AI agents (or agentic AI) in libraries represents a significant leap in capability. An autonomous agent is an advanced form of AI that can understand and respond to inquiries, then take action without human intervention. When they are given an objective, they can generate tasks for …

Childhood Asthma Biomarkers Derived From Plasma And Saliva Exosomal Mirnas, Abdelnaby Khalyfa, Mohit Verma, Meghan M. Alexander, Zhuanhong Qiao, Tammy Rood, Ragini Kapoor, Trupti Joshi, David Gozal, Benjamin D. Francisco

Biomedical Sciences

Asthma, the most common chronic respiratory condition in children, involves airway inflammation, hyper-responsiveness, and frequent exacerbation that worsen the airflow and inflammation. Exosomes, extracellular vesicles carrying microRNAs (miRNAs), play a key role in cell communication alongside other types of communication and are promising markers of asthma severity. This study compares exosomal miRNA and long non-coding RNA (lncRNA) profiles in boys with asthma, focusing on differences between those with normal lung functions and those with severe airflow obstruction. This study enrolled 20 boys aged 9–18 years with asthma, split into two groups based on their lung function. Ten had normal lung …

Direct Coupling Of Continuum And Shell Elements In Large Deformation Problems, Astrid Pechstein, Michael Neunteufel

Mathematics and Statistics Faculty Publications and Presentations

In many applications, thin shell-like structures are integrated within or attached to volumetric bodies. This includes reinforcements placed in soft matrix material in lightweight structure design, or hollow structures that are partially or completely filled. Finite element simulations of such setups are highly challenging. A brute force discretization of structural as well as volumetric parts using well-shaped three-dimensional elements may be accurate, but leads to problems of enormous computational complexity even for simple models. One desired alternative is the use of shell elements for thin-walled parts, as such a discretization greatly alleviates size restrictions on the underlying finite element mesh. …

Network Segmentation Security With The Implementation Of Threats, Ryan Bredesen, Stephen Mujeye

Faculty Publications – Technology

Network segmentation is an important cybersecurity strategy that aims to reduce an attacker's ability to move laterally and increase security within a network. This study evaluated the effectiveness of network segmentation by simulating attacks on two networks using Infection Monkey. The objective of this study was to examine the impact of network segmentation on the detection and spread of threats across several virtual machines. Two network environments were created, the first unsegmented network (Network A) and a segmented network (Network B). Multiple simulated attacks were conducted on both networks. The attacks confirmed that the segmented network achieved better protection because …

Addressing Iot Vulnerabilities In Smart Homes, Erik Peterson, Stephen Mujeye

Faculty Publications – Technology

The integration of Internet of Things (IoT) devices in smart homes has surged in recent years, accompanied by significant security vulnerabilities. The proliferation of IoT devices in smart homes has significantly enhanced convenience but also introduced substantial cybersecurity risks. This study investigated the susceptibility of Internet of Things (IoT) devices in students' homes to cyberattacks, emphasizing the need for heightened consumer awareness regarding security vulnerabilities. A systematic literature review was conducted to identify common attack methods and trends in IoT cybersecurity, informing the development of a comprehensive survey administered to 34 student respondents. The results indicate a notable awareness of …

A Critical Analysis Of Sme Cybersecurity Policies And Practices, Alex Clark, Stephen Mujeye

Faculty Publications – Technology

This study examines the cybersecurity policies, practices, and preparedness of small and medium-sized enterprises (SMEs) in Central Illinois, focusing on how they align with established standards. Through a detailed literature review and a survey, the research identifies common cyber threats faced by SMEs and evaluates their current cybersecurity measures. Key findings reveal that many SMEs, despite being vulnerable due to their integration of Industry 4.0 technologies, lack comprehensive incident detection and response systems. The study underscores the necessity for improved cybersecurity awareness among all levels of SME staff, including CEOs, managers, and employees. Recommendations are proposed to enhance collective cybersecurity …

Artificial Intelligence In Everyday Life, Sally Brown

Artificial Intelligence Exhibit

This section explores using AI in everyday life including decision making.

Artificial Intelligence: The Twilight Zone And Conclusion, Sally Brown

Artificial Intelligence Exhibit

This section concludes the exhibit with an exploration of the deepfake dilemma, existential risks and societal impacts, and takeaway inquiries.

Ai Questions; "The Ai Tea", Sally Brown

Artificial Intelligence Exhibit

This section includes a series of questions related to AI and the exhibit content, as well as button designs by WVU students and Art in the Libraries committee members, a list of the exhibition sponsors, and information on the exhibition launch panel.