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Letter From The Editor, Sam Chanenson

Osmosis Magazine

Letter from Sam Chanenson, Editor in Chief, Osmosis Science Magazine.

Osmosis.

Osmosis Magazine

Science Magazine

Hidrotuango: Understanding The Reach Of Cascading Risk, Juan Guevara, Rob Shields

Fast Capitalism

No abstract provided.

Doc 2025-01 (Amended) Undergraduate Academic Co-Major Policy, University Of Dayton. Academic Policies Committee

Senate Documents

In Spring 2024, the Academic Affairs Committee (AAC) of the College of Arts and Sciences forwarded a proposal to the Executive Committee of the Academic Senate (ECAS) to establish a Neuroscience undergraduate co-major, submitted by the Department of Biology. This proposal also included recommended language to define undergraduate co-majors for inclusion in the College of Arts and Sciences Academic Catalog. Additionally, the AAC advised that the Academic Senate review and approve each co-major proposal to ensure clarity and consistency.

Appendix A: DOC 2025-17 Minor revision to the Undergraduate Co-Major Policy (November 21, 2025)

The Academic Policies Committee was charged by …

Mobility Disrupted: Geospatial Analysis Of Accessibility On The Mbta’S Orange And Red Lines Using Generalized Linear Poisson Regression, Maura Forde

Geography and the Environment: Graduate Student Capstones

This research analyzes the spatiotemporal relationship between explanatory variables and the frequency of downed elevator/escalator alerts at train stations on the Massachusetts Bay Transportation Authority’s (MBTA) Orange and Red lines. The data is from 2023. The null hypothesis is that there is no spatiotemporal pattern to the frequency/distribution of alerts. Generalized Linear Poisson Regression is used to model relationships across four time periods – the entire 2023 calendar year, Spring (January-April), Summer (May-August), and Fall (September-December). Results indicate that the null hypothesis can be rejected for all variables in Summer and Fall models but cannot be rejected for all variables …

2025-11-21 Agenda Book, Morehead State University. Board Of Regents.

Morehead State Board of Regents Agenda Books and Meeting Minutes

Agenda booklet for the Board of Regents meeting of November 21, 2025, which includes the minutes of the meeting held on October 17, 2025 and the agendas of the Audit Committee and AD-HOC Bylaws and Mission Committee meetings held on the same day.

Privacy In Flux: A 35-Year Review Of Trends, Legal Evolution, And Emerging Challenges, Kong Phang, Jihene Kaabi

Research & Publications

Privacy harms have expanded alongside rapid technological change, challenging the adequacy of existing regulatory frameworks. This systematic review (1990–2025) systematically maps documented privacy harms to specific legal mechanisms and observed enforcement outcomes across jurisdictions, using PRISMA-guided methods and ROBIS risk-of-bias assessment. We synthesize evidence on major regimes (e.g., GDPR, COPPA, CCPA, HIPAA, GLBA) and conduct comparative legal analysis across the U.S., E.U., and underexplored regions in Asia, Latin America, and Africa. Key findings indicate increased recognition of data subject rights, persistent gaps in cross-border data governance, and emerging risks from AI/ML/LLMs, IoT, and blockchain, including data breaches, algorithmic discrimination, and …

Stars And Shapes: An Investigation Of Stripped Envelope Supernovae Structures Using Spectropolarimetry Observations And Hydrodynamic Models, Sabrina Desoto

Electronic Theses and Dissertations

Supernovae (SNe) are the energetic deaths of massive stars, dispersing heavy elements throughout the galaxies and shaping cosmic evolution across the universe. However, understanding the connections between the evolution of massive stars, their catastrophic demises, and the myriad of observed SNe, remains a fundamental challenge in astrophysics. My work aims to narrow this gap by integrating extensive observational data with advanced hydrodynamical simulations to better interpret SNe observations and understand the origin of their geometry. The observational component utilizes the largest spectropolarimetry dataset of stripped-envelope (SE) core-collapse supernovae (CCSNe) gathered by the SNSPOL project. Analyzing nine Type Ib and eleven …

Principal Quandles, Jesse Parrish

Electronic Theses and Dissertations

This thesis concerns principal quandles and, as a special case, Alexander quandles. A principal quandle is a coset quandle, Q(G,H, f), in which the subgroup H is trivial. If in addition the group G is abelian, then the coset quandle is called an Alexander quandle. The isomorphism types of Alexander quandles were classified [16], and some progress was made on describing the isomorphism types of principal quandles in [14] and [13]. The first part of this thesis applies the ideas used in Holmes’ paper to give a classification of the isomorphism types of principal quandles. The second …

Development Of A Non-Faradaic Impedimetric Biosensor Based On Reduced Graphene Oxide For The Detection Of Brain-Derived Neurotrophic Factor (Bdnf), Mariana N. Martins

Electronic Theses and Dissertations

Neurological disorders affect millions of people worldwide. In the case of Alzheimer’s disease (AD), the rising number of cases significantly increases global healthcare costs. Therefore, early detection of biomarkers at the onset of the disease is essential for early diagnosis. This study presents an electrochemical biosensor designed for the detection of Brain-Derived Neurotrophic Factor (BDNF) in human plasma, incorporating reduced graphene oxide (rGO) to enhance signal sensitivity. Dielectrophoresis (DEP) was employed to deposit rGO flakes on the electrode surface, improving conductivity and sensor performance. Electrochemical impedance spectroscopy (EIS) was used to monitor changes in impedance associated with BDNF binding events, …

Exploring The Impact Of Statistics Course Modality On Student Learning: A Mixed Methods Approach, Becky Kelleman

Electronic Theses and Dissertations

The importance of statistical literacy has become increasingly evident, as individuals grapple with interpreting statistics to inform critical decisions. Despite the recognized significance of statistical literacy, challenges persist in both educators’ and students’ efforts to navigate the complexities of statistics education. The purpose of this study is to explore the impact of different course modalities on undergraduate students’ academic performance in introductory statistics courses. Using Social Cognitive Theory (SCT) as a theoretical framework, this research aims to shed light on the complex dynamics influencing statistical literacy attainment. By addressing gaps and inconsistencies in the current literature, this study seeks to …

High Frequency Dc-Dc Converter Design Optimization, Modeling And Control Based-Wbg Technology., Salah Ahmed Abdullah Eltief

Electronic Theses and Dissertations

The performance of DC-DC power converters is a cornerstone of modern electric vehicle (EV) powertrains, directly governing overall system efficiency, size, cost, and reliability. This dissertation presents a comprehensive performance analysis and optimization of DC-DC converter topologies to determine the most suitable design for high voltage EV applications. The evaluation rigorously compares efficiency, power losses, and physical size under a range of harsh operating conditions. A primary objective is to leverage Wide Bandgap (WBG) semiconductors, specifically Silicon Carbide (SiC), to push the performance boundaries of power conversion. While SiC devices are known for their superior material properties, a clear understanding …

Unlocking Efficiency: Ai-Powered Solutions In Insurance, Yi Zhang

Probability & Statistics Seminar

Discover how insurance companies can leverage Artificial Intelligence (AI) to drive efficiency and innovation. This seminar will delve into three key AI applications: (1) fuzzy matching for accurate insured name identification, (2) claim summarization using Natural Language Processing (NLP) to extract insights from narrative text, and (3) automated report drafting and ad-hoc analytics for enhanced documentation. Along the way, we'll introduce fundamental insurance data concepts, providing a comprehensive understanding of how AI can transform the industry.

From Vulnerability To Robustness: A Survey Of Patch Attacks And Defenses In Computer Vision, Xinyun Liu, Ronghua Xu

Michigan Tech Publications

Adversarial patch attacks have emerged as a powerful and practical threat to machine learning models in vision-based tasks. Unlike traditional perturbation-based adversarial attacks, which often require imperceptible changes to the entire input, patch attacks introduce localized and visible modifications that can consistently mislead deep neural networks across varying conditions. Their physical realizability makes them particularly concerning for real-world security-critical applications. In response, a growing body of research has proposed diverse defense strategies, including input preprocessing, robust model training, detection-based approaches, and certified defense mechanisms. In this paper, we provide a comprehensive review of patch-based adversarial attacks and corresponding defense techniques. …

The Minutes Of The Marshall University Graduate Council Meeting, November 21, 2025, Marshall University Graduate Council

Graduate Council Minutes

No abstract provided.

From Red To Green: Using Gis To Examine Colorado’S Inequitable Housing Patterns In Urban Greenspace Accessibility, Jessica Howard Karr

Geography and the Environment: Graduate Student Capstones

Urban greenspaces provide numerous benefits to the mental and physical health of nearby people who access these locations for physical recreation, social interaction, and contemplation. Discriminatory urban planning policies from the past, such as redlining, have ensured that greenspace access is not always equitable for communities with diverse racial and socioeconomic compositions. This project utilizes Geographic Information Systems (GIS) to determine relationships between tree cover canopy, greenspace percentage within a census tract, and greenspace accessibility within a graded census tract system based on demographics and historic redlining locations in the Colorado cities of Denver, Colorado Springs, and Pueblo. The results …

Box Elder County Tourism Adventure Passport: Pilot Program Geospatial Analysis, Evaluation, And Next Steps., Janessa Knotts

Geography and the Environment: Graduate Student Capstones

The Box Elder County Tourism Office created the Tourism Adventure Passport Program and launched a pilot program in July 2025. GIS was used to engage and encourage visitors and locals to visit some or all sites listed and submit information, including GPS points, to participate in the program. To promote tourism in Box Elder County, the program highlights well known sites like the Golden Spike National Historic Park, along with other, less-known sites. The pilot program data was used to create a geospatial analysis and an analysis of the number of visits each site received and number of visitors were …

Non-Invasive Infection Detection Framework: Smartphone-Based Hematologic And Thermal Biomarker Monitoring, Nafi Us Sabbir Sabith

Dissertations (1934 -)

Infectious diseases remain one of the leading global causes of illness and death in both community and hospital settings. Infections lead to lasting health issues, such as life-threatening chronic conditions or even cancer. Early detection is crucial for timely intervention, such as isolation and treatment. Hematology originated from the Greek word haima, meaning blood. It is a unique discipline in medicine that involves the study of blood and its contents. White blood cells (WBC) are at the forefront of the body’s immune system. WBCs are categorized into five main subtypes: neutrophils, lymphocytes, monocytes, eosinophils, and basophils. Monitoring the total WBC …

Doc 2025-20 Proposal To Suspend Bachelors In Adolescent To Young Adult (7-12) Teaching Concentrations In Integrated Mathematics & Integrated Science, University Of Dayton. School Of Education And Health Science

Senate Documents

Proposal to Suspend Bachelors in Adolescent to Young Adult (7-12) Teaching Concentrations in Integrated Mathematics & Integrated Science

Doc 2025-19 Proposal For New Bachelor Of Science In Data Analytics, University Of Dayton. Academic Policies Committee

Senate Documents

The Bachelor of Science in Data Analytics is an interdisciplinary program designed to prepare students with the skills to collect, manage, analyze, and interpret complex data. Building on foundations in mathematics, statistics, and computer science, the program emphasizes hands-on experience with programming, databases, regression, and machine learning. Students learn to translate data into actionable insights, preparing them for careers in data analytics, business intelligence, and related fields, as well as for advanced study in data science and analytics.

Using Fluency-Building Approach To Increase The Knowledge And Fluency Of Signing With Preschool Teachers: A Pilot Study, Angel Jia Yiuen Tan, Bryan Wen Xiao Tang, Gray Atherton, Liam Cross, Bethan Mair Williams

School of Psychology

Keyword signing, an augmentative communication strategy, is known to promote language acquisition in young children, yet staff in educational settings often receive insufficient training, leading to low retention and usage rates. This pilot study examined the feasibility and impact of a Precision Teaching-based intervention designed to improve preschool teachers’ proficiency and fluency in Makaton signing. Eleven teachers from a mainstream preschool in North Wales, with limited prior training, participated in a six-week intervention involving fluency training with 238 Makaton signs. Pre- and post-intervention assessments measured knowledge acquisition, and post-intervention tests evaluated fluency through retention, endurance, and application. Results demonstrated significant …

Exploring Private And Governmental Interest In Bitcoin, Mina Khadem

Undergraduate Theses, Capstones, and Recitals

Regardless of one’s opinion, Bitcoin’s presence in the global economy is growing. However, Bitcoin’s emerging role and its implications are greatly under-researched, particularly in the context of government interest in Bitcoin. Nonetheless, increased private investment in Bitcoin and increased government interest in formally incorporating Bitcoin into existing economic systems, suggest a new development within the global economy that must be investigated. Through qualitative text analysis of pro-Bitcoin narratives presented in digital media platforms and official government policies and public statements, this thesis explores how private and government interest in Bitcoin is explained and framed within these contexts. This study finds …

Controls On Speleothem Carbon Isotopes, Paloma Marcos

Undergraduate Research Symposium Posters

The Sistema Huautla cave system is the deepest known in the Western Hemisphere. It is located in the Sierra Mazateca Mountain Ranges near Jiménez de Huautla, Oaxaca. There are over 29 separately discovered entrances into this karst environment making it the 28th longest cave system in the world. It can be considered by some as one of the most complex vertical drainage systems on Earth. This extensive study site has been an area of interest among cavers and scientific researchers for nearly 6 decades. Speleothem samples from the study sites have been found to be over 433,000 years old. The …

Simulation Of Fluid Flow Based On Navier Stokes Equations, Ricardo Marquez, Javier Perez

Undergraduate Research Symposium Posters

This work presents a computational study of incompressible flow based on the Navier-Stokes equations using finite element method. The Crank-Nicolson approximation is used for discretizing the time derivative. The study consists of investigating the effect of the choice of finite elements and the size of the time step in obtaining the numerical velocity and pressure. This is illustrated with FreeFEM++ simulations of the von Karman benchmark flow problem. Profiles of drag, lift and pressure drop will be presented in time.

The Mathematics Of Motion: Applying Derivatives To Fluid Systems, Sayla Daily

Undergraduate Research Symposium Posters

Mathematical modeling through differential equations provides a basis for understanding change in physical and engineering systems. My project explores the transition from single-variable derivatives to multivariable partial derivatives and their applications in describing engineering applications. Beginning with the Fundamental Theorem of Calculus, derivatives are introduced as measures of change, quantifying relationships such as velocity and acceleration. The study then extends to partial derivatives, which represents systems influenced by multiple variables, including spatial and temporal factors. These principles are applied to model fluid motion, and pressure gradients, including the Navier–Stokes equations governing fluid dynamics. By linking mathematics with engineering applications, this …

Doughnut Economics And Strong Sustainability: Rethinking The Role Of Financial Investment, Isabelle Pierotti

Electronic Theses and Dissertations

This thesis investigates how private investment could align doughnut economic framework. Doughnut economics is a strong sustainability economic framework where the economy operates within planetary boundaries while ensuring social equity. Theories of sustainable development, weak sustainability, and strong sustainability are discussed to provide theoretical context for doughnut economics and mainstream economics. The analysis concludes that conventional, profit maximizing private investment does not support a doughnut economics system by supporting the depletion of natural resources and exacerbating social issues. Sustainable mainstream investment also fails to support a doughnut framework. Lastly, while impact investment is theoretically committed to social and financial returns, …

An Auto-Criticism: Exploration Of Professional Development For Secondary Science Educators, Mellissa Ann Pfaff

Electronic Theses and Dissertations

This auto-criticism investigates the benefits of experiential professional development for science educators by examining the reflective journey of one teacher-researcher—me—through multiple immersive learning experiences. Using narrative journaling and qualitative analysis, this study captures the influence of these experiences on my identity, instructional design, and ability to create experiential learning opportunities for students.

Rather than approaching professional development as a checklist of strategies, this research seeks to illuminate how deeply engaged, hands-on learning can transform teaching from routine delivery to embodied practice. Thematic coding revealed shifts in curriculum planning, increased responsiveness to student inquiry, and renewed clarity around the purpose of …

Capacity, Allocation And Update Dynamics Of Human Memory Systems, Shaoying Wang

Electronic Theses and Dissertations

Information is encoded and stored in three types of memory: sensory memory (SM), short-term memory (STM), and long-term memory (LTM). SM has a large capacity but retains information for only a brief period. When information transfers to STM, only a limited amount can be stored. Information in STM can then be transferred to LTM, which has a much larger capacity and longer retention time. STM is often conceptualized as working memory (WM) to highlight its role in active information processing. Due to the limited capacity of STM, it is commonly believed that STM serves as the bottleneck for information processing. …

Archaeological Predictive Meta-Modeling In Pre-Columbian Mexico, Peter Stamm

Electronic Theses and Dissertations

Archaeological Predictive Modeling stands firmly as an important tool for Archaeologists to predict undiscovered sites from civilizations all across the globe. While powerful, this methodology is not without its own set of qualms. Striking a balance between pure a data-driven approach while also observing leading expert theories can be a complicated task. Going further, deciding on the specific domain of features to emphasize or overlook can be a challenge within itself, as one misstep can drastically change the output of model, sometimes for the worst. In addition, creating models that can expose their reasoning process can be rather difficult to …

Barriers And Facilitators To Engaging With Academia: A Black Dental Student Perspective – Pilot Study., Amitha Ranauta, Favour Onwudiwe, Tanaka Anthony Jeremy Kadiyo, Obioma Mofiyinfoluwa Ukoha, Rachel Adebukola Anuoluwa Ogunleye, Vivienne Banke Onamusi, Nicole Meerah Elango, Oluwasola Helen Asaolu, Antonia Oluwatosin Oluwakemi Ajayi, Modupe Toluwanimi Osunkoya, Kaamilah Shitta-Bey, Amy Maame Aba Amanfu, Cathy Coelho, Alasdair Robertson, Julie Monk, Nikos Donos, Sally Hanks

Peninsula Dental School

Introduction This pilot study investigates barriers and facilitators to Black dental students' engagement with academic careers in dentistry, focusing on underrepresentation in academia despite efforts to diversify the workforce. Methods and results Through qualitative analysis of focus group discussions with Black dental students from two UK dental schools, several key themes emerged. Participants highlighted the importance of active patronage in addressing underrepresentation, advocating for proactive support systems beyond mere mentoring. They also emphasised the significance of various forms of capital – economic, cultural, and social – in shaping career trajectories and success in academia. Intersectionality, encompassing experiences of sexism, racism, …