Digital Commons Network^™

The Advent Of The Astrolabe In St. Gallen And Notker Teutonicus’ Cosmographic Globe (C. 1015), Jost Schmid-Lanter

Peregrinations: Journal of Medieval Art and Architecture

No abstract provided.

The Impact Of Family Variables On The Mental Health Of Gender Expansive Transitional Age Youth And Adults, Courtney Erdly

West Chester University Doctoral Projects

Gender expansive individuals are at an elevated risk for stress and poor psychological outcomes such as depression, substance abuse, and death by suicide due to minority stress. Family variables can either protect against or perpetuate poor psychological outcomes. There is need to examine specific protective and risk factors in families with gender expansive children. The present study explores the relationship between family and caregiver relationship variables and well-being in a sample of 39 gender expansive individuals. Participants completed an online survey consisting of questionnaires measuring current internalizing and externalizing symptoms and their perception of their family structure, functioning, and parental …

The Impact Of Leadership Curriculum On High School Students’ Self-Efficacy, Shannon R. Brown

West Chester University Doctoral Projects

This explanatory sequential mixed methods-case study design grounded in Bandura’s Self-Efficacy Theory, examines the impact of leadership development curriculum on high school students’ perceived levels of self-efficacy as well as researching characteristics students report are most important for strengthening their self-efficacy. Quantitatively, via convenience non-probabilistic sampling, an online Qualtrics questionnaire was used to collect data from 17 students currently in high school who were enrolled in a one-semester leadership development course in their junior or senior year. Qualitatively, six students who completed the questionnaire participated in semi-structured interviews. Additionally, nine students who completed the questionnaire provided three different reflective artifacts …

An Exploration Of K-1 Teachers’ Experiences With Curriculum Change: It’S All Too Much, Grace Li M. Terramin

West Chester University Doctoral Projects

Since the 1960s, the United States has experienced frequent changes in educational reform, policies, and practices, known as the Reading Wars and Math Wars. These changes have directly impacted teachers. This qualitative study explored K-1 teachers’ experiences with curriculum change in one school located in the northeastern United States. There were ten participants in the study including kindergarten teachers, first-grade teachers, a special education teacher, an English language development teacher, and a guidance counselor. Multiple rounds of interviews were conducted in person and on Zoom with participants. Interview transcripts were coded using inductive coding via Dedoose software and four themes …

Eastern Michigan University, Spring Commencement, April 27, 2025, Eastern Michigan University

Commencement Programs and Materials

No abstract provided.

Enabling Energy And Water Sustainability Through Out-Of-Band Emi Sensing And Infrastructure Modeling, Pranjol Sen Gupta

Computer Science and Engineering Dissertations - Archive

As demand for Internet and cloud services surges, data centers have emerged as critical infrastructure—but they are also among theworld’s most energy- andwater-intensive facilities. Effective power management, particularly at the server level, is essential for improving efficiency, reliability, and sustainability. However, server-level power monitoring remains uncommon due to the high cost of hardware instrumentation and the intrusiveness of software-based solutions, especially in shared colocation environments. My research introduces a novel, low-cost, and non-intrusive method for server-level power monitoring using conducted electromagnetic interference (EMI). By analyzing EMI signals captured from higher levels in the power distribution network, this approach estimates individual …

Optimizing Indoor Localization Using Rssi And Iq Data With Machine Learning, Gokdeniz Tingur

Computer Science Theses

This paper explores implementing and evaluating a Bluetooth Low Energy (BLE)-based indoor localization system using Received Signal Strength Indicator (RSSI) and Angle of Arrival (AoA) data via machine learning. A survey of localization technologies (RFID, GPS, ZigBee, and BLE) provides context on capabilities and limitations in indoor positioning. IQ data and phase-based angle estimation show how BLE 5.1’s direction-finding features enable sub-meter accuracy. A multi-phase experiment in a three-story academic building examines model performance with different tag distributions, movement patterns, and environmental constraints. Machine learning models such as Support Vector Machines and Deep Neural Networks are trained and evaluated across …

Sedimentary Archives Of Late Quaternary Limnological, Ecological, And Environmental Change In The Eastern Sierra Nevada (California, Usa), Bailee Hodelka

Theses and Dissertations--Earth and Environmental Sciences

The Sierra Nevada essentially serve as the headwaters of California, providing crucial freshwater to the state through seasonal snowmelt. This water supply is threatened by climate change in complex ways that are not fully understood. Geological records provide a valuable source of information on how the hydrology, limnology, and ecology of the Sierra Nevada region has responded to climate changes of the past. This dissertation presents new sedimentary and paleoecological research from Mono Lake and Convict Lake (Mono County, California) and aims to shed light on environmental changes in the eastern Sierra Nevada from ~16 ka to present.

At Mono …

Measurement Of Two-Point Energy Correlators Within Jets In P+P Collisions At Sqrt[S]=200  Gev, Star Collaboration

Physics and Astronomy Faculty Publications

Hard-scattered partons ejected from high-energy proton-proton collisions undergo parton shower and hadronization, resulting in collimated collections of particles that are clustered into jets. A substructure observable that highlights the transition between the perturbative and nonperturbative regimes of jet evolution in terms of the angle between two particles is the two-point energy correlator (EEC). In this Letter, the first measurement of the EEC at RHIC is presented, using data taken from 200 GeV p þ p collisions by the STAR experiment. The EEC is measured both for all the pairs of particles in jets and separately for pairs with like and …

Design Of The Ecce Detector For The Electron Ion Collider, J. K. Adkins

Physics and Astronomy Faculty Publications

The EIC Comprehensive Chromodynamics Experiment (ECCE) detector has been designed to address the full scope of the proposed Electron Ion Collider (EIC) physics program as presented by the National Academy of Science and provide a deeper understanding of the quark–gluon structure of matter. To accomplish this, the ECCE detector offers nearly acceptance and energy coverage along with excellent tracking and particle identification. The ECCE detector was designed to be built within the budget envelope set out by the EIC project while simultaneously managing cost and schedule risks. This detector concept has been selected to be the basis for the EIC …

Interaction Mechanism Between Health Anxiety And Information Seeking Behavior From The Perspective Of Phenomenology, Yanfeng Zhang, Minqian Yu

Journal of Scientific Information Research

[Purpose/significance]To analyze the evolution characteristics of health anxiety before and after information search behavior from the perspective of phenomenological graph analysis, and to explain the internal mechanism of the interaction between health anxiety and information search behavior. [Method/process]By using the phenomenological qualitative research method, the interactive mechanism between health anxiety and information search behavior was deeply explored. Based on the I-PACE theoretical model framework, the model elements of users' health anxiety and information search behavior were analyzed from the four dimensions of "Person-Affect-Cognition-Execution". To construct a mechanistic relationship model between health anxiety and information search behavior. [Result/conclusion]The research results revealed …

Sam Altman, Openai, And The Importance Of Corporate Governance, Lawrence J. Trautman, Larry D. Foster Ii

Journal of Law, Technology, & the Internet

The sudden firing of CEO Sam Altman by OpenAI’s three independent directors highlights concerns about whether a leading AI company, susceptible to internal conflict and unclear accusations, can be trusted to develop a technology with far-reaching consequences for billions of people.

This paper examines how OpenAI’s board of directors terminated CEO Sam Altman’s employment, a decision that risked hundreds of highly skilled employees walking out the door, disrupted billions of dollars in value, and jeopardized critical knowledge of this important technology. It is hoped that corporate directors—whether at for-profit and non-profit companies—along with venture capitalists, technologists, and government regulators can …

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 …