Digital Commons Network^™

Phase-Preserving Machine Learning Forecasting Of Nonlinear Predator–Prey Dynamics, Saira Batool, Muhammad Imran, Brett Mckinney

Biology and Medicine Through Mathematics Conference

No abstract provided.

Modeling Epidemic Dynamics With Renewal Processes And General Lifetime Distributions, Divine Wanduku, Divine Wanduku

Biology and Medicine Through Mathematics Conference

No abstract provided.

Stochastic Invasion And Extinction In Environmentally Transmitted Diseases, Mahmudul Bari Hridoy, Lauren M. Childs

Biology and Medicine Through Mathematics Conference

No abstract provided.

Remote Sensing To Detect Crop Damage By An Invasive Species, Cole Butler

Biology and Medicine Through Mathematics Conference

No abstract provided.

Hegel, A Re-Examination,, J N Findlay

Hannah Arendt Marginalia - All

New York, Humanities Press, 1964 [©1958]

Call # : B2948 .F47 1964

Contains marginalia, underlining and marginal lining PDF Information : 33 Pages, 13.1 MB

The Making Of An Extremist: How Do We Become Someone Else’S Nightmare?, María Paula Morales

The Confluence

This article explores how ordinary people can be pulled into extremist movements and what psychological forces drive that process. It looks at three perspectives: social identity theory, which explains how group belonging shapes behavior, identity development, which shows how people searching for meaning may find it in extremist causes; and social neuroscience, which connects radicalization to brain activity linked to fear, loyalty, and moral judgement. Together, these approaches show that radicalization is not simply about ideology but about identity, emotion, and belonging. By understanding these dynamics, we can find better ways to prevent extremism and promote healthier, more inclusive communities.

Satire And Sentiment: Dickensian Characterization In Hard Times, Helen R. Ball

The Confluence

Readers of Charles Dickens both celebrate and criticize his characters, who are paramount among the quintessential aspects of his writing. His industrial novel Hard Times bears particularly the weight of such criticism in its portrayal of Stephen Blackpool, one of the Coketown factory Hands. Scholars have complained that Blackpool exemplifies, in too boring or didactic a manner, the typical virtues of the Victorian era, such as saintliness, humility, and long-suffering (Spector 365), and that his character lacks the necessary traits to compel and inspire readers.

Such a critique has prompted the following research and analysis. Using formalist observation of diction …

A New Framework For Studying Transient Reactivity In Two-Dimensional Linear Systems., Mary Lou Zeeman, Alanna Haslam-Hyde, James Broda

Biology and Medicine Through Mathematics Conference

No abstract provided.

Dynamic Homeostasis In Relaxation And Bursting Oscillations, Christopher J. Ryzowicz

Biology and Medicine Through Mathematics Conference

No abstract provided.

How Human Behavior Shapes Epidemic Dynamics, Leah Lejeune, Navid Ghaffarzadegan, Lauren M. Childs, Omar Saucedo

Biology and Medicine Through Mathematics Conference

No abstract provided.

Dynamics For Complex Quadratic Networks, Templates And Mutations, Anca R. Radulescu, Eva Kaslik, Alexander Fikl, Sarah Muldoon, Johan Nakuci, Mark Comerford

Biology and Medicine Through Mathematics Conference

No abstract provided.

Modeling, Control Analysis, And Parameter Estimation Of Epidemic Dynamics Using The Unscented Kalman Filter, Muhammad Imran, Saira Batool, Brett Mckinney

Biology and Medicine Through Mathematics Conference

No abstract provided.

Delineating Differences In Firing Rate Estimates Of Healthy And Parkinsonian Single-Unit Basal Ganglia Recordings, Richard R. Foster, Cheng Ly

Biology and Medicine Through Mathematics Conference

No abstract provided.

Dynamics Of A Two-Stage Epidemiological Model With Post-Infection Mortality And Transmission Heterogeneity, B Sagar

Biology and Medicine Through Mathematics Conference

No abstract provided.

Deep Learning-Based Detection Of Juniperus Procera Dieback In Uav Imagery Using An Ensemble Approach, Halima Alzubaidi

UB Journal for Humanities

Juniper trees are essential in many ecosystems, and any changes in the vegetation cover of juniper trees must be detected. Deep learning models were used in this study for detecting dieback in Juniperus procera in natural forests in the southern region of Saudi Arabia was examined. The goal in this study was to develop a reliable method for automated tree cover detection for large-scale environmental monitoring. Various deep learning models, including DenseNet121, InceptionResNetV2, custom convolutional neural network, Xception, ResNet50, and EfficientNetB2, were applied to classify images of juniper trees. The performance of each model was evaluated using metrics including accuracy, …

A Novel Machine-Learning Based Method For Resolving Secondary Structure Topology In Medium-Resolution Cryo-Em Density Maps, Bahareh Behkamal, Mohammad Parsa Etemadheravi, Ali Mahmoodjanloo, Amin Mansoori, Mahmoud Naghibzadeh, Kamal Al Nasr, Mohammad Reza Saberi

Computer Science Faculty Research

Medium-resolution cryo-electron microscopy (cryo-EM) density maps preserve substantial information about protein secondary-structure organization; however, accurately recovering the topology and connectivity of α-helices and β-strands remains challenging due to noise, structural heterogeneity, and the intrinsic resolution limitations that obscure residue-level detail. Topology determination is a key intermediate step toward building atomic protein models from medium-resolution cryo-EM density maps. It requires identifying the correct correspondence and orientation between secondary-structure elements (SSEs), i.e., α-helices and β-strands, predicted from the amino-acid sequence and those detected in the three dimensional (3D) density map. Despite significant advances in cryo-EM reconstruction and molecular modelling, this correspondence problem …

College Algebra With Review, Lanee Young Ph.D., Jayme Goetz

All Open Educational Resources

This text is disseminated via the Open Education Resource (OER) LibreTexts Project (https://LibreTexts.org) and like the thousands of other texts available within this powerful platform, it is freely available for reading, printing, and "consuming." The LibreTexts mission is to bring together students, faculty, and scholars in a collaborative effort to provide an accessible, and comprehensive platform that empowers our community to develop, curate, adapt, and adopt openly licensed resources and technologies; through these efforts we can reduce the financial burden born from traditional educational resource costs, ensuring education is more accessible for students and communities worldwide. Most, but …

Automating The Precision Measurements Of Higgs Boson Couplings In The H → Zz* → 4l Decay Channel, Sully Billingsley

Physics Theses and Dissertations

As a way to test the Standard Model of Physics, the couplings of the Higgs boson to other particles is studied by measuring the production cross-sections of the Higgs boson using the ATLAS detector at the Large Hadron Collider. The cross-sections are measured in the \HZZ  decay channel, where $\ell = e, \mu$. Two sets of measurements were performed on increasing amounts of data collected from proton-proton collisions and a center-of-mass energy of 13.6 TeV. The first set of measurements was collected between 2022 and 2023 corresponding to an integrated luminosity of 56 fb$^{-1}$ while the second set adds data …

Neurodiversity In Counseling: Counseling Strategies For Supporting Neurodiverse Clients, Emily R. Plowright

Educational Specialist, 2020-current

Neurodiversity recognizes the natural differences in human functioning, including the unique ways that individuals think, learn, and process information. The neurodiversity movement views these differences as valuable, challenging historical beliefs that label them as deficits. Despite growing awareness of neurodiversity, counseling research and practice have largely overlooked the unique needs of neurodiverse clients, resulting in barriers to accessing mental health care. This paper addresses the concept and models of disability to provide context for understanding neurodiversity. Neurodiverse identities, such as attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), specific learning disorders (SLDs), and tic disorder, are explored through their diagnostic criteria …

Agentic Synthetic Data Generation For Automated Model Development, Frederick Eugene Diehl

Theses and Dissertations

Large Language Model research has made large strides in capabilities from sentiment analysis to writing code. These advancements have been realized thanks to research into specific capabilities such as prompting techniques. Language models today have demonstrated the ability to create content, transform, and classify. These capabilities are not limited to academic exploration but also found in commercial products that are positioning themselves from application augmentation to personal assistants. These commercial products tend to steer towards single actions such as “summarize this article” or “write a function that performs action...” In parallel research has continued to advance towards more advanced constructs …

Automatically Constructed Preference Pairs For Chain-Of-Thought: Consistency Gains With Accuracy Tradeoffs, Cameron Scolari, Lanyu Shang

Honors Thesis

We investigate preference optimization over chain-of-thought (CoT) reasoning using automatically constructed preference signals derived from the accuracy and internal consistency of a model. Our results show that framing reasoning as a preference learning problem improves both the accuracy of the final answer and the structure of the model outputs. We observe a non-monotonic relationship between performance and the Direct Preference Optimization (DPO) scaling parameter β, where moderate values maximize accuracy while lower values improve stability, highlighting a tradeoff between optimization strength and reliable generation. We further identify a tradeoff between reasoning consistency and accuracy. Increasing the consistency weight improves agreement …

Choosing Play: A Quantitative Case Study On The Impact Of Play-Based Learning Compared To Direct Instruction In An Urban Kindergarten, Deborah Mary Arlauskas

Educational Studies Dissertations

Choosing Play: A Quantitative Case Study on the Impact of Play-Based Learning Compared to Direct Instruction in an Urban Kindergarten examines the academic and behavioral outcomes of kindergarten students in two urban public schools: one implementing a play-based instructional approach grounded in JEDI (justice, equity, diversity, and inclusion) practices, and the other using direct instruction. Rooted in Froebel’s original purpose for kindergarten to nurture the whole child through play, social connection, and interaction with nature, this study returns to the developmental intent behind the creation of kindergarten itself. Standardized literacy performance was measured using the Measures of Academic Progress (MAP) …

Ai Shell, Jacqueline Roebuck Sakho

Books

An AI Configuration Shell to train and deploy an Argumentation Coach. Presented and distributed to the UNC Commons Collective in May 2026.

Mapping And Framing Circular Economy In The Sixth Assessment Report Of The Intergovernmental Panel On Climate Change: A Systematic Text Analysis, Marta Castellini, Nadezhda Ushakova, Sergio Vergalli

Fondazione Eni Enrico Mattei Working Papers

Although the circular economy (CE) is recognised as a key climate mitigation strategy, its integration within global climate frameworks, such as those developed by the Intergovernmental Panel on Climate Change (IPCC) in its Assessment Reports, remains unclear. This study provides a systematic analysis of how the circular economy is framed in the climate-mitigation context of the IPCC Sixth Assessment Report using a mixed-methods approach that combines computational text analysis with qualitative content analysis through sentence-level manual coding. Eight Chapters relevant to the mitigation were examined and findings show that CE is most frequently framed as a supporting strategy (44.3%), followed …

Pwnagotchi: Deauthentication Attacks, Wpa Handshakes, And Wireless Network Security, Emily Musgrove

Computer Science Honors Papers

Wireless networks are the foundation of modern device communication infrastructure. This project examines the security implications of automated WPA/WPA2 handshake collection using the Pwnagotchi, a portable Wi-Fi network auditing and penetration testing device. The paper provides a technical analysis of WPA and WPA2 authentication mechanisms, including the structure of the 4-way handshake, the creation of cryptographic keys, and the role of deauthentication attacks in forcing reconnections for handshake capture. Additionally, the project explores the vulnerabilities associated with using legacy wireless security protocols such as WEP and TKIP to allow for older technologies that continue to require such encryption methods. This …

The Impact Of Free Vs. Fixed Factor Correlations On Parameter Recovery In Multidimensional Irt Models, Stephanie Leroy

Dissertations, 2020-current

This dissertation investigated how cross-loading specification and factor-correlation treatment influence parameter recovery in multidimensional item response theory (MIRT) models. Two simulation studies extended Hosseinzadeh and Cole (2024) by examining whether freely estimating factor correlations improves recovery of item parameters, factor correlations, and latent traits. Study 1 used a compensatory multidimensional two-parameter logistic (M2PL) model with two correlated dimensions and 20 dichotomous items. Manipulated conditions included cross-loading specification (correctly specified vs. ignored), proportion of cross-loaded items, magnitude of cross-loadings, true factor correlation, and factor-correlation treatment during estimation (freely estimated vs. fixed to zero). Study 2 extended the design to a multidimensional …

Sanctuary And Disappointment: Jewish German Refugees In The United States Army In World War Ii, Zachary P. Watts

Masters Theses, 2020-current

This paper examines the experiences of German-Jewish refugees who became intelligence soldiers in the United States Army. They are frequently called the Ritchie Boys, for their training in Camp Ritchie, Maryland. The paper focuses mostly on a single Ritchie Boy named Frank Adler, who came to the United States as a teenager from Austria in 1938 and ended up returning to his hometown as a soldier. The Ritchie History museum holds a large collection of Adler’s letters which form the most important source for this project. I have found a duality of experience from German and Austrian Jews in the …

2026 May 14 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

2026 May 21 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Elementary Students' Science Attitudes And Teachers' Implementation Of The Ngss Science Practices: A Mixed Methods Study, Michelle Laborn

Dissertations

It has been recorded in the literature that student science interest drops as students enter and transition to middle and high school. This dissertation takes up the areas of student science interest and the teaching of the science practices in the context of elementary education. This study seeks to understand student science interest in elementary students in the years before entering middle school where a drop of interest is frequently reported. It is hypothesized that an increased use or implementation of the NGSS science practices by classroom teachers would generate higher science interest in elementary students. In a framework of …