Digital Commons Network^™

Design And Construction Of An Affordable Adjustable Repetition Rate Optical Frequency Comb, Christopher Latchford

Physics, Astronomy and Geophysics Honors Papers

Two different adjustable repetition rate optical frequency combs were designed and constructed with off-the-shelf components, including several improvements to established erbium fiber designs. These designs were assembled at a fraction of the cost of a commercial comb. Both combs were constructed with a repetition rate of roughly 100 MHz, with one combs tuning range being 2 MHz and the others being 3 MHz. These combs followed different designs, the first being a modification of an established nonlinear polarization rotation (NPR) design, the second being a modification to a “figure 9” design. A stabilization control loop for frep achieved long-term drifts …

The Effects Of Prenatal Alcohol And Nicotine Exposure On Later-Life Drug-Seeking Behavior And Memory Performance, Zoe Campanella

West Chester University Master’s Theses

Alcohol and nicotine are the two most commonly consumed licit substances among pregnant individuals, and the potential consequences of prenatal exposure to each drug include a variety of neurological and behavioral alterations. These may include an increased likelihood of developing a substance use disorder (SUD) and/or cognitive impairments later in life. However, 30% of pregnant individuals who report consuming alcohol also report consuming nicotine, yet the potential consequences of combined prenatal exposure are not understood. Furthermore, 40% of pregnancies in the U.S. are unplanned, meaning that drug exposure most commonly occurs during the first trimester. However, there is limited research …

Adding Libraries To The Equation: Mathematical Sciences’ Underutilization Of Academic Librarians, Jennifer Lc Burke, Elizabeth C. Novosel, Daniel G. Kipnis, Rasitha Jayesekere

Scholarship and Professional Work

Academic librarians do not engage with all disciplinary departments equally. Despite equal or even greater efforts, some departments are less responsive to librarian outreach. One such department is mathematics. To understand mathematics departments’ relationships with their academic librarians, three mathematics librarians created a 20-question survey that was disseminated to mathematics faculty, instructors, and instructional staff in the United States and Canada. Of the 188 survey participants, more than a third reported that they never engage with their librarians, approximately half only do so occasionally, and a mere eight percent of participants collaborated with librarians to provide information literacy instruction (IL) …

Deep Learning-Based Ensemble Two-Step Classification Of Medical Images Using Cnn Architectures And Ensemble Methods, Noreliz Alorico

Master's Theses or Doctor of Nursing Practice

Breast cancer remains one of the most common cancers amongst women globally. Early detection is crucial for improving survival rates. While mammography is widely used and an effective imaging technique, it can sometimes yield false positive or false negatives. Mammogram interpretation is highly operator-dependent, introducing variability and the potential for diagnostic errors. Additionally, mammographic images have limitations, such as low contrast in breast tissue and overlapping structures that can obscure lesions or mimic abnormalities. These limitations can lead to unnecessary biopsies or delayed diagnosis. These challenges highlight the needs for advanced and data driven diagnostic tools to support and enhance …

Towards Smart Farming: Image-Based Crop Health Assessment And Disease Diagnosis Using Deep Learning Techniques, Kristina Botova

Master's Theses or Doctor of Nursing Practice

Accurate crop monitoring is essential for optimizing agricultural productivity and ensuring food security. This study presents a comprehensive deep learning framework for image crop type recognition, health status prediction, and disease detection using multiple Convolutional Neural Network (CNN) models. The proposed approach uses open-source datasets consisting of five crop types (apple, corn, grape, potato, tomato), varying health conditions, and common diseases. By deploying specialized CNN architecture focused on each task, the system achieves a high accuracy of 99.25% in classifying crop types, identifying health status, and detecting specific diseases. Compared to a single CNN model, the use of the proposed …

Spectral Divergence Prioritizes Key Classes, Genes, And Pathways Shared Between Substance Use Disorders And Cardiovascular Disease., Everest Castaneda, Elissa J Chesler, Erich Baker

Faculty Research 2025

Introduction: Substance use disorders (SUDs) are heterogeneous diseases with overlapping biological mechanisms and often present with co-occurring disease, such as cardiovascular disease (CVD). Gene networks associated with SUDs also implicate additional biological pathways and may be used to stratify disease subtypes. Node and edge arrangements within gene networks impact comparisons between classes of disease, and connectivity metrics, such as those focused on degrees, betweenness, and centrality, do not yield sufficient discernment of disease network classification. Comparatively, the graph spectrum's use of comprehensive information facilitates hypothesis testing and inter-disease clustering by using a larger range of graph characteristics. By adding a …

A Framework For Strengthening The Quantitative Skills/Reasoning Support Ecosystem At Small Liberal Arts Colleges, Laura J. Muller, Melissa Eblen-Zayas

Faculty Research 2025

We developed a framework for characterizing an institution’s quantitative skills/reasoning support ecosystem to consider how various activities contribute to student success in areas connected to students’ quantitative preparation. Through discussions with faculty and staff stakeholders at eight selective small liberal arts colleges, we established that the quantitative skills/reasoning support ecosystem at these institutions consists of four domains: bridge programs with a quantitative component, assessment of readiness, curricular on-ramps, and supplementary support for courses that require quantitative skills/reasoning. The framework includes questions about each domain that can be used by stakeholders in different institutional positions to reflect on existing efforts to …

Capstone Research On Missoula, Montana, Rental Market Impact On Undergraduate Students’ Well-Being, Alysa Curry, Aidan Rasmussen, Halston Witt, Tristan Clifford, Sadie Arnold

Undergraduate Theses, Professional Papers, and Capstone Artifacts

This research project examined how rental housing challenges in Missoula, Montana, impacts the well-being of students at the University of Montana and Missoula College. With rising rent prices and limited affordable housing options, students face growing stress related to finances, housing stability, and academic life. To explore this, we created a survey asking students about their living situations, financial pressures, social support, and mental health. We calculated a Well-being Score based on housing stress, social support, and future confidence to identify the biggest factors affecting student well-being.

Despite facing challenges in distributing the survey and gathering responses, the results revealed …

The Laramie Project, Otterbein Theatre And Dance Department

2024-2025 Season Productions

No abstract provided.

Llm-Guided Multimodal Information Fusion With Hierarchical Spatio-Temporal Graph Network For Sentiment Analysis, Yujie Jin, Yong Wang, Yuzhe Wang, Qiyang Chen, Bin Hu, Yanling Han, Chaoyin Ma, Witold Pedrycz

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

Multimodal sentiment analysis aims to attain a precise comprehension of emotions by integrating complementary textual, visual, and audio information. However, issues such as sentiment discrepancies between modalities, ineffective integration of multi-modal information, and the intricacy of order dependency significantly constrain the models' efficacy. The authors propose an LLM-guided Hierarchical Spatio-Temporal Graph Network (L-HSTGN). By multimodal large model feature enhancement, bidirectional spatio-temporal joint modeling, and dynamic gate fusion mechanism, they effectively address the aforementioned problems. Firstly, they produce cross-modal emotion pseudo-labels based on the multimodal large model, and the single-modal representation was optimized by combining adversarial regularization. Secondly, they develop a …

Swosu Research And Scholarly Activity Fair 2025, Swosu Office Of Sponsored Programs

SWOSU Research and Scholarly Activity Fair Programs

On behalf of the members of the University Research and Scholarly Activity Committee (USRAC) and the Office of Sponsored Programs (OSP) at Southwestern Oklahoma State University (SWOSU) — welcome to the Thirty-Third SWOSU Research and Scholarly Activity Fair!

This year’s event features 99 poster presentations and 9 oral presentations, showcasing the work of over 170 student and faculty researchers, writers, presenters, artists, collaborators, and faculty sponsors. These presentations represent a wide array of scholarly and academic activity from across SWOSU’s academic community, including the Departments of Art, Communication, and Theatre; Allied Health Sciences; Biological Sciences; Business; Chemistry & …

Modeling Deductive Inference: A Historico-Philosophical Introduction To First-Order Logic, David J. Buller

Faculty Books & Book Chapters

This book is a companion text for lectures on first-order logic and its elementary metatheory (used in Intermediate Logic at Northern Illinois University). It covers the basic concepts of set theory necessary for a mathematical development of first-order logic; develops a formal language of first-order logic; presents a classical Tarskian semantics for the language and the “semantic” conception of logical consequence; presents a Gentzenian proof system and the “syntactic” conception of logical consequence; develops a partial decision procedure for logical consequence in the language; demonstrates applications of the formal system to modeling deductive inference expressed in natural language; and extends …

The Knowwheregraph Ontology, Cogan Shimizu, Shirly Stephen, Adrita Barua, Ling Cai, Antrea Christou, Kitty Currier, Abhilekha Dalal, Colby K. Fisher, Pascal Hitzler, Krzysztof Janowicz, Wenwen Li, Zilong Liu, Mohammad Saeid Mahdavinejad, Gengchen Mai, Dean Rehberger, Mark Schildhauer, Meilin Shi, Sanaz Saki Norouzi, Yuanyuan Tian, Sizhe Wang, Zhangyu Wang, Joseph Zalewski, Lu Zhou, Rui Zhu

Computer Science and Engineering Faculty Publications

KnowWhereGraph is one of the largest fully publicly available geospatial knowledge graphs. It includes data from 30 layers on natural hazards (e.g., hurricanes, wildfires), climate variables (e.g., air temperature, precipitation), soil properties, crop and land-cover types, demographics, and human health, various place and region identifiers, among other themes. These have been leveraged through the graph by a variety of applications to address challenges in food security and agricultural supply chains; sustainability related to soil conservation practices and farm labor; and delivery of emergency humanitarian aid following a disaster. In this paper, we introduce the ontology that acts as the schema …

(2025) Curriculum Vitae Of Laurance J. Splitter, Laurance J. Splitter

Collected Papers of Laurance J. Splitter

No abstract provided.

My Octopus Teacher (2020) Directed By Pippa Ehrlich And James Reed, Peter Shea

Picture Books

My Octopus Teacher combines a carefully structured love story with astonishing information about undersea life, documenting a year of encounters between a photographer and an octopus. It is important as a non-standard love story and as a reflection on the possibility of deep connection with non-human creatures.

Comparing Post-Run And Retrospective Minute-By-Minute Workload Scores, Kathryn Ballard, Michael Stewart

International Symposium on Aviation Psychology - 2025

When we ask participants to evaluate their workload in a real or contrived scenario it isunknown how they quantify their response. This uncertainty compounds when the scenariois long and has several subtasks. Thus, it is difficult to determine what the workload scoresindicate. The questions arise: Are participants reporting a peak level of workload? Somesort of aggregate? In this paper, we aim to correlate NASA Task-Load Index (TLX) scoresobtained during a contrived scenario in a flight simulator with minute-by-minute measuresof workload. We describe the strength and direction of correlations between the twoworkload ratings and determine if there is a consistent categorical …

Functional Visualizations Of A Hydrogen-Electric Aircraft Propulsion System For Supporting Pilot Decision-Making, Misha M. S. Schweitzer, Ece Üreten, Clark Borst, Olaf Stroosma, Rene Van Paassen

International Symposium on Aviation Psychology - 2025

Cognitive Work Analysis (CWA) and Ecological Interface Design (EID) were used todesign a novel flight deck display for a regional turboprop aircraft that is being retrofitted with aHydrogen Aircraft Powertrain Storage System (HAPSS). This research addresses the challengesof managing cognitive complexity in next-generation aviation systems, focusing on designinginterfaces based on system constraints which are modeled through the Abstraction Hierarchy(AH). Visualizations were discussed in interviews with subject matter experts highlighting theneed for further matching the mental model of the pilot by addressing simplicity, workload, anduse case representations on the display. The iterative process included static and dynamic displaytesting and focused on …

A Community-Driven Vision For A New Knowledge Resource For Ai, Vinay K. Chaudhri, Chaitan Baru, Brandon Bennett, Mehul Bhatt, Darion Cassel, Anthony G. Cohn, Rina Dechter, Esra Erdem, Dave Ferrucci, Ken Forbus, Gregory Gelfond, Michael Genesereth, Andrew S. Gordon, Benjamin Grosof, Gopal Gupta, Jim Hendler, Sharat Israni, Tyler R. Josephson, Patrick Kyllonen, Yuliya Lierler, Vladimir Lifschitz, Clifton Mcfate, Hande Küçük Mcginty, Leora Morgenstern, Alessandro Oltramari, Praveen Paritosh, Dan Roth, Blake Shepard, Cogan Shimizu, Denny Vrandečić, Mark Whiting, Michael Witbrock

Computer Science and Engineering Faculty Publications

The long-standing goal of creating a comprehensive, multi-purpose knowledge resource, reminiscent of the 1984 Cyc project, still persists in AI. Despite the success of knowledge resources like WordNet, ConceptNet, Wolfram|Alpha and other commercial knowledge graphs, verifiable, general-purpose, widely available sources of knowledge remain a critical deficiency in AI infrastructure. Large language models struggle due to knowledge gaps; robotic planning lacks necessary world knowledge; and the detection of factually false information relies heavily on human expertise. What kind of knowledge resource is most needed in AI today? How can modern technology shape its development and evaluation? A recent AAAI workshop gathered …

The Adoption Of Ai In Zimbabwe’S Newsrooms: A Case Of Zimpapers And Alpha Media Holdings, Muchemwa Silence Mugadzaweta

Master of Arts in Digital Journalism

Artificial Intelligence (AI) has changed the face of journalism in many ways. Newsrooms across the world are deploying AI in various aspects of news gathering distribution and creation. Many newsrooms are also at different stages when it comes to AI adoption. The general objective of this study was to examine the adoption of AI in two media houses in Zimbabwe: Zimpapers and Alpha Media Holdings (AMH), from newsroom operations and insights from journalists and editors to understand their perception and views on the future of journalism in the wake of AI technologies as well as documenting the status thereof. This …

Credit Scoring In Digital Lending: A Stepwise Logistic Regression And Weight Of Evidence Approach In Kenya, Howard Omukami, Cynthia Mwau, Denis Kuria Wangui, Andrew Mbuya

Institute for Educational Development, East Africa

Mobile money lending has grown rapidly in recent years, with one of the major challenges being the determination of borrowers' creditworthiness, a classification problem complicated by credit risk and the choice of appropriate scoring models. Credit scoring, which uses statistical analysis of historical borrower data to estimate repayment likelihood, remains a critical tool for financial institutions in assessing lending risk. This study evaluates borrower creditworthiness using historical data from Mobipesa Limited, a digital lending company based in Nairobi, Kenya. Data were collected from 495 borrowers over one year, comprising 33 predictor variables (32 numeric and one categorical). Stepwise logistic regression …

2025-2026 Graduate Catalog, Harrisburg University

HU Catalogs and Handbooks

No abstract provided.

2025-2026 Undergraduate Catalog, Harrisburg University

HU Catalogs and Handbooks

No abstract provided.

Accessible Extracurriculars Without Teacher Exploitation, Makenzie Wrightstone

West Chester University Master’s Theses

The research explores how extracurricular activities support holistic development and address barriers, especially for students from lower socioeconomic backgrounds or with disabilities, using social reproduction theory and educational philosophies. It highlights how extracurriculars foster cognitive, social, and emotional growth but are often inaccessible due to financial, logistical, and instructional challenges. The study also examines teacher burnout and dehumanization, providing a historical view of extracurriculars in American schools, analyzing current policies, and considering how technology impacts student engagement. It proposes a transformative framework combining adventure, place-based, and transformative learning, advocating for integrating activities into school hours to enhance access, equity, and …

Resting-State Electrodermal Activity In Adults With And Without Adhd, Charles Knowlton

Theses & ETDs

A growing body of literature shows strong evidence for children with Attention-Deficit/Hyperactivity Disorder (ADHD) exhibiting hypoarousal compared to neurotypical children. This research is supported in conditions where stimuli are present and at a resting-state. However, the research with adult ADHD is conflicting. Adults with ADHD have been shown to exhibit no difference, hypoarousal, and hyperarousal compared to neurotypical adults. Therefore, the present study aims to employ a resting-state analysis of electrodermal activity (arousal) between self-reporting adults with ADHD (n = 11) and without ADHD (n = 8). A self-report questionnaire was also utilized to quantify the participant’s ADHD symptoms. Participants …

Supporting Information For: "Synthesis And Characterization Of Γ-Acyloxyl-Ε-Caprolactones”, Greyson Greischar, Tapiwa Gono Phiri, Ellie Haljun, Jenna Ray, Meheret Ourgessa, Garrett Thesing, Lila Lofving, Aidan Clark, Suzanna Bator, Durwynn Jno Baptise, Wyatt Cole, Michael Itschner, Yutan D.Y.L. Getzler

Data Sets

This dataset contains the raw, unprocessed NMR data for the title compounds of the paper "Synthesis and characterization of γ-acyloxyl-ε-caprolactones” published in iScience (DOI: 10.1016/j.isci.2026.115190. NMR spectra were acquired on a JEOL-ECZS 400 MHz spectrometer in CDCl3 (Cambridge Isotope Labs, 99.8% D) and are saved in the .jdf format. Chemical structures in this document will be represented in the SMILES format. The paper details the synthesis of eight lactones, with variation of the exocyclic ester. Within this set, we consider CC(OC(CC1)CCOC1=O)=O (7-oxooxepan-4-yl acetate or γ-acetyl-ε-caprolactone) to be the parent compound. The R group pendant from the exocylic carbonyl in this …

Journal For The Philosophical Study Of Education, Allan Johnston, Guillemette C. Johnston

Research Resources

J P S E Journal for the Philosophical Study of Education

Vol. 5 (2025)

Editors:

Allan Johnston, Columbia College Chicago

Guillemette Johnston, DePaul University

Special Symposium Editor:

Sabrina Bacher, Universität Innsbruck

Outside Readers:

Marina Bacher, Universität Innsbruck

Sabrina Bacher, Universität Innsbruck

Erica Hagström. Luléa University of Technology

Christian Kraler, Universität Innsbruck

Elias Schwieler, Stockholm University

The Society for the Philosophical Study of Education

Programs And Courses Catalog 2025-2026, University Of Northern Iowa

UNI Programs and Courses Catalogs

Contents:

Academic Calendar ... 5
General Information ... 7
The University and Its Programs ... 7
Academic Structure ... 9
Admission Requirements ... 16
Enrollment and Registration Procedures ... 21
Fees and Financial Aid ... 22
Student Life ... 28
University Facilities and Educational Services ... 33
The Fine and Performing Arts at UNI ... 39
Academic Regulations ... 44
Undergraduate Information and Degree Requirements ... 61
Graduate Information, Admission, Academic Regulations, and Degree Requirements ... 81
List of Programs by Department ... 111
Department of Accounting ... 118
Department of Applied Engineering ... 121
Department of Art and Graphic …

Using A Reconciliation Approach To Teach Evolution May Help Religious Students Remain Faithful, Danny Ferguson, Ethan Tolman, Spencer Shumway, Cassidy Shively

BYU Studies

Many religious people struggle to accept the theory of evolution, and about 40 percent of Americans reject the theory outright, preferring a literalist, creationist account that confirms a young earth.1 As Latter-day Saints ourselves, we understand the trepidation surrounding the idea that perhaps evolution contradicts our belief of an earth created by a loving Father and Savior. People may feel that the scientific theory of evolution implies that there is no need for a God or that our existence is simply an accident. As college-age youth, we are familiar with the struggles that students face as they confront evolution in …

Small-Object Detection At The Edge: A Pareto-Efficient Benchmark Of Lightweight Yolo Models On Uav And Overhead Datasets, Bijay Shakya, Omar F. El-Gayar, Jihene Kaabi Dr., Khandaker Mamun Ahmed

Research & Publications

Small-object detection plays a critical role in real-time aerial, Unmanned Aerial Vehicle (UAV), and satellite vision systems, as well as many other domains, where hardware constraints and deployment environments demand high accuracy, low latency, and energy efficiency. Although numerous lightweight object detectors have been proposed, there exists a lack of rigorous, cross-platform benchmarks that evaluate these models under consistent conditions for small-object-focused applications. This paper presents a comprehensive comparative evaluation of eight recent lightweight You Look Only Once (YOLO)-based models, including YOLOX-Nano and YOLOv6–v12 variants. Models are trained using a unified pipeline and evaluated on three representative datasets: VisDrone2019, DOTA-v1.5, …

Linguists: Our Evolving Role, Patricia Macgregor-Mendoza

International Journal of the Linguistic Association of the Southwest

As linguists, we play many roles in and out of the classroom. In our classes, we strive to educate students about the nuances of linguistic systems, encourage them to expand upon their innate knowledge of language and inspire them to use this knowledge to enhance their lives, their careers, and their communities. However, as Bucholtz et al. (2014) remind us, “scholars should not simply speak out as expert advocates on behalf of marginalized groups, as important as this responsibility is, but they must also help empower their research participants to take action themselves (Cameron et al. 1992, 1993)” suggesting that …