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2026 Kutztown University Composition Conference Program, Engtlish Department,Kutztown University Of Pennsylvania

KUCC -- Kutztown University Composition Conference

The annual KU Composition Conference is sponsored by the Department of English, and includes student presentations from across campus.

David Berkowitz, Enzyme-Assisted Organic Synthesis & Nsf Officer, Mark A. Griep, David B. Berkowitz

Department of Chemistry: Faculty Interviews

Dr. Dave Berkowitz was born in Urbana, Illinois. He earned his bachelor's degree in chemistry from the University of Chicago, where he did undergraduate research. Next, he earned his doctorate from Harvard University. However, his advisor, Steve Benner, moved from Harvard to ETH Zurich, also called the Swiss Federal Institute of Technology. Dave accompanied him to Zurich, where he completed his dissertation work. When Dave returned to the U.S., he did a postdoc with the legendary Samuel Danishefsky at Yale University. In 1991, he joined UNL as an assistant professor of chemistry and quickly rose through the ranks. Dave is …

Real-Time Data Collection System For Low-Cost Diesel Emissions Monitoring, Zachary Driskill

Theses and Dissertations

Diesel trucks are a major source of pollutants, including particulate matter (PM) and NO$_x$. Roadside emissions monitoring can identify high-emitting diesel vehicles, but conventional sensing systems rely on expensive, complex sensing instruments that limit widespread deployment. Low-cost sensors offer increased scalability due to their small size, low cost, and low power consumption, but they have lower accuracy and slower response time. This thesis presents the design and evaluation of a low-cost roadside emissions monitoring system, establishing the foundation for a scalable and widely deployable alternative. We apply machine learning calibration to roadside emission monitoring to improve the usability of low-cost …

Implementation And Evaluation Of Alternative Methods For Simulation Of Sidescan Sonar, Blake Paul Romrell

Theses and Dissertations

The original sonar implementation for the HoloOcean simulator was built upon a cached octree representation of the world. On first runs, building the cache was prohibitively slow, and the cache had a major memory footprint. This work presents alternative implementations for the sidescan sonar using direct raytracing on the CPU and rendering on the GPU. To evaluate and compare the implementations, timing tests on comparable parameters, as well as sweeps on resolution and range parameters, were performed. The render-based GPU implementation outperformed the others in the timing tests.

Syllabus: U.S.-Japan Space Security Cooperation, Alice Dell'era, Elisabeth H. Murray Ph.D.

Course Materials

This syllabus includes a course description and outlines the learning outcomes. It also provides a breakdown of the assignments and assessments, along with an overview of the course schedule.

Faculty Senate Executive Committee Minutes April 13, 2026, Utah State University

Faculty Senate & Faculty Senate Executive Committee

• Call to Order
• Approval of Minutes - March 16, 2026
• University Business
• Faculty Senate Business
• Reports
• Strategic Enrollment Management Annual Report
• Student Success Annual Report
• Committee on Committees Annual Report
• Calendar Committee Annual Report
• Information
• Additional Business
• Adjourn: 4:30

Faculty Senate Executive Committee Agenda April 13, 2026, Utah State University

Faculty Senate & Faculty Senate Executive Committee

• 3:00 Call to Order
• Approval of Minutes - March 16, 2026
• 3:05 University Business
• 3:20 Faculty Senate Business
• 3:35 Reports
• Strategic Enrollment Management Annual Report
• Student Success Annual Report
• Committee on Committees Annual Report
• Calendar Committee Annual Report
• 4:00 Information
• EPC Report - April 2, 2026
• 4:15 Additional Business
• President-Elect
• Adjourn: 4:30 pm

Innovations In Graph Neural Network Design: Addressing Oversmoothing, Heterophily, And Information Propagation, Kushal Bose

Doctoral Theses

In an unstructured learning paradigm, Graph Neural Networks (GNNs) adeptly tackle graph data like social networks, molecules, transaction networks, etc. In the primitive stage, GNNs are designed to be shallow, comprising two or three layers. Emulating the success of deep CNNs, deep GNNs are also proposed by stacking multiple layers. Those multi-layered GNNs are pivotal in enabling long-range interactions where multi-hop neighbors carry significant information, like molecular property prediction. Yet, the multi-layered GNNs face challenges of Oversmoothing, where node features become indistinguishable due to the recursive nature of message passing. In the second chapter of the thesis, we propose a …

Faculty Chamber Recital With Guest Composer Jim Stephenson

Bailey School of Music Concert Programs

Faculty artists present an evening of chamber music featuring works by Olivier Messiaen, Walter Rabl, and guest composer James Stephenson. The program is anchored by Messiaen’s Quartet for the End of Time, an eight‑movement work for clarinet, violin, cello, and piano that explores a wide range of textures, colors, and expressive possibilities.

Also on the program are the opening movement of Rabl’s Quartet in E‑flat Major, Op. 1, and Stephenson’s Quartet for a New Tomorrow, a four‑movement contemporary work offering contrast in mood, tempo, and character.

Heavy Metal In Water Resources, Zuming Bi, Jeanne Sumrall

SACAD: Scholarly Activities

Heavy metal pollution in surface water has posed a serious threat to human health. The goals of this research are to analyze the concentration and distribution of key heavy metals and compare the measured values with global standards. This study analyzed major heavy metals like Fe, Mn, Cu, Pb, and Ag across several test points in Kansas and converted them to standard units mg/L. Based on the statistical graph, heavy metal iron and manganese levels are exceeded USEPA and WHO limits several times,  while other heavy metals stay in the safe range. The results indicate that the pollution in Kansas …

Ancestral Sequence Reconstruction Of Gh4, Chaejun Park Chaejun Park, Masakatsu Watanabe

SACAD: Scholarly Activities

GH4 enzymes use an unusual NAD⁺-dependent catalytic mechanism that remains poorly understood. Because of their roles in microbial metabolism and potential bioengineering applications, understanding how this mechanism evolved is important. In this study, we use the GH4 structure 1U8X as a reference for structural and functional analysis. Using ancestral sequence reconstruction and phylogenetic analysis, we inferred ancestral GH4 sequences and selected a particular ancestral node for detailed comparison with modern enzymes. These comparisons were used to examine stability, sequence conservation, and catalytic features, helping identify mutations and evolutionary transitions that contributed to the emergence of this distinctive NAD⁺-dependent mechanism.

Editorial Introduction To The Inaugural Issue, David Stone

Research Development Review: The NORDP Journal

On behalf of the Editorial Board, welcome to the inaugural issue of Research Development Review. Writing this statement fills me with joy and a deep sense of collective accomplishment.

Moving Toward Better-Defined Research Support Roles: Piloting Postdoctoral Training For Research Development, Heather Siedhoff, Matt Easter, Katie Rieger, Alan Toigo, Erin Teeple, Heather N. Russell-Simmons, Charlene Emerson

Research Development Review: The NORDP Journal

Research development (RD) is gaining recognition as an attractive career field, but navigating the variability of RD across universities can be difficult for prospective professionals. The growth of RD highlights the need to better characterize the distribution of RD duties and develop new paradigms for training RD professionals. We conducted a survey-based institutional case study of 123 research support staff at the University of Missouri (MU) from Nov. 3 to Dec. 15, 2023 to characterize the distribution of RD and research administration (RA) responsibilities across individual positions and units. Survey data showed a wide range of job titles associated with …

A Systematic Review Of Factors Supporting Early-Career Grant Success For Faculty In Stem And Medicine, Melanie Bauer

Research Development Review: The NORDP Journal

This literature review examines the factors and interventions that support early-career success in grant-seeking and research for faculty in science, technology, engineering, and mathematics (STEM) as well as medical fields (collectively termed “STEMM”) at U.S. higher education institutions. Given the persistent and growing focus on securing external funding across colleges and universities, this investigation is valuable to both scholarly and practitioner audiences. Using a systematic and critical approach, this review summarizes the strengths and gaps of existing research. It highlights the limited focus of extant studies on grant seeking as distinct from publications when characterizing faculty productivity; calls for expanded …

Journalism Dean Works To Help Newsrooms Spot Ai-Generated Fakes, Marvis Herring

University of Mississippi News

OXFORD, Miss. – As artificial intelligence-generated images, audio and video reshape the information landscape, newsrooms and classrooms must add "fake-checking" to their daily toolkit, a University of Mississippi journalism educator advises.

The Honors Beacon, Issue 24, 2025-2026, Honors Program At Minnesota State University, Mankato

Honors Beacon

2025-2026 newsletter of the Honors Program at Minnesota State University, Mankato.

Hidradenitis Supprativa: Communication Strategies To Improve Awareness And Reduce Stigma, Temilade Adewale

Theses

Hidradenitis suppurativa (HS) is a chronic inflammatory skin condition associated with significant physical and psychosocial burden. Despite increasing clinical recognition, patients frequently experience diagnostic delays, stigma, and inadequate communication with healthcare providers. The purpose of this study was to examine communication patterns surrounding HS and explore how these patterns relate to stigma, misinformation, and patient experiences. This study used a qualitative design incorporating a structured literature review and semi-structured interviews with 85 participants. The Narrative Paradigm guided analysis, focusing on how individuals construct meaning through their experiences and interactions. Thematic analysis identified key patterns in patient-provider communication, misinformation exposure, and …

Research Development Personas: Beyond The Case Of Many Hats, Melanie Bauer, Joshua Roney

Research Development Review: The NORDP Journal

Research Development (RD) professionals are often described as wearing “many hats”—a metaphor that reflects the diverse roles and responsibilities they assume to support faculty and institutional research goals. However, this framing does not fully capture the nuanced, relational, and strategic ways RD professionals engage with stakeholders. This article introduces the concept of RD personas to describe six approaches to support used by RD professionals: Consultant, Coach, Collaborator, Connector, Champion, and Creator. Drawing from the authors’ professional experience and recent NSF-funded projects, the article distinguishes these personas as holistic modes of engagement that shape how RD professionals provide support, build capacity, …

Competition As A Solution To High Prices And Low Capacity In U.S. Healthcare: A Synthetic Control Analysis Of Certificate Of Need Repeal As A Lever For Hospital Market Reform, Eve Velasquez, Wyatt Greco

School of Public Policy Capstones

The U.S. healthcare system faces dual challenges: rising hospital prices and declining capacity. Between 2000 and 2024, average hospital expenses per adjusted inpatient day increased from approximately $1,000 to over $3,000, while hospital beds per capita declined from 3.11 to 2.45. This capstone evaluates three policy alternatives to address affordability and accessibility: restrictions on most-favored nation clauses in insurance-provider contracts, elimination of federal tax exemptions on employer-sponsored health insurance, and repeal of certificate of need (CON) laws. Through a comprehensive literature review and a synthetic control analysis of Indiana's 2019 nursing home CON reinstatement, we assess the empirical effects on …

Groundwater Nitrate Contamination In Western Kansas, Sihui Wei

SACAD: Scholarly Activities

Groundwater nitrate contamination is a significant environmental concern in agricultural regions of the United States. In Kansas, nitrate concentrations in some groundwater systems approach or exceed the Environmental Protection Agency (EPA) maximum contaminant level of 10 mg/L. This study analyzes nitrate concentration data from groundwater samples in western Kansas, with a focus on the High Plains aquifer, where agricultural activity is intensive. Using data analysis and regression methods, spatial patterns in nitrate distribution were identified. Results indicate that nitrate concentrations vary across sampling locations, with higher levels generally associated with regions of intensive agricultural activity. Several sites approach or exceed …

Desialylation And Sialidase Secretion From Monocytes And Macrophages Upon Lps Activation, Yu Zhao, Majdi Aljohani, Morgan Pychowycz, Xue-Long Sun

Chemistry Faculty Publications

Introduction The cell surface expresses a dense layer of glycans often terminated with sialic acids (Sias), known as sialylation, which represents different cellular statuses. Meanwhile, the removal of Sias from the glycans catalyzed by sialidase (desialylation) is also involved in many biological processes, such as inflammatory responses. Previous studies demonstrated that desialylation is involved in LPS/TLR4 signaling pathway and pro-inflammatory cytokine production. In this report, we systematically profiled desialylation and sialidase activity, expression and secretion from monocytes and macrophages upon LPS activation.Methods THP-1 monocytes and THP-1 macrophages were activated by LPS (100 ng/mL) for 24 hours. The cellular Sia changes …

The Daily Gamecock: April 2026, University Of South Carolina, Office Of Student Media

2026

No abstract provided.

Ensuring Year-Round Fresh Strawberries: A Sustainable Supply Chain Approach, Rizza Panopio Constantino, Leilani De Guzman

Journal of Management for Global Sustainability

This study aims to develop a sustainable and cost-efficient sourcing strategy for fresh strawberries used in the strawberry jam production of Tantamco’s Fine Foods (TFF), a well-known pasalubong (locally produced gift food items commonly brought home from trips) shop in Baguio City, Philippines. Specifically, the study seeks to identify the key factors causing price volatility and supply instability and determine strategic interventions that can ensure a more stable, affordable, and year-round strawberry supply. Employing a qualitative research approach, the researchers conducted in-depth interviews with strawberry farmers, market vendors, traders, fellow jam producers, and the company’s procurement personnel. The findings reveal …

Advanced Machine Learning Approaches For Bankruptcy Prediction In The Shipping Industry: A Comparative Analysis Across Time Horizons, Minchul Sohn, Saeyeon Roh, Minsu Kwon

Plymouth Business School

This study evaluates machine learning methods for predicting bankruptcies in the Korean shipping industry over 1-, 3-, and 5-year horizons. Using an imbalanced dataset, preprocessing techniques such as outlier capping, skewness correction, and SMOTE-based oversampling are applied. Two feature sets—financial variables and those enriched with macroeconomic and shipping indicators—are analyzed. Results demonstrate that ensemble methods like LightGBM, CatBoost, XGBoost outperform linear models and deep neural networks across all horizons. Short-term predictions are driven by liquidity factors, while long-term forecasts benefit from shipping-specific indices like freight rates. SHAP‐based analysis reveals that internal cash‐flow as critical for one‐year predictions, whereas prolonged freight …

Bookmarked Volume 5 - April 2026, Elizabeth Batte, University Of Mississippi Libraries

Bookmarked

A newsletter curated by University of Mississippi Librarians. Featured stories: "Giving Day 2026," "Eudora Welty Donation," "Archival Journeys," "Library Data Skills," and student spotlights.

Mental Models Of Autonomy And Sentience Shape Reactions To Ai, Janet V.T. Pauketat, Daniel Burton Shank, Aikaterina Manoli, Jacy Reese Anthis

Psychological Science Faculty Research & Creative Works

Narratives about artificial intelligence (AI) entangle autonomy, the capacity to self-govern, with sentience, the capacity to sense and feel. AI agents that perform tasks autonomously and companions that recognize and express emotions may activate mental models of autonomy and sentience, respectively, provoking distinct reactions. To examine this possibility, we conducted three pilot studies (N = 374) and four preregistered vignette experiments describing an AI as autonomous, sentient, both, or neither (N = 2,702). Activating a mental model of sentience increased general mind perception (cognition and emotion) and moral consideration more than autonomy, but autonomy increased perceived threat more than sentience. …

Negotiating Digital Identities With Ai Companions: Motivations, Strategies, And Emotional Outcomes, Renkai Ma, Shuo Niu, Lingyao Li, Alexander Hirth, Ava Brehm, Rowajana Behterin Barbie

Computer Science

AI companions enable deep emotional relationships by engaging a user's sense of identity, but they also pose risks like unhealthy emotional dependence. Mitigating these risks requires first understanding the underlying process of identity construction and negotiation with AI companions. Focusing on Character.AI (C.AI), a popular AI companion, we conducted an LLM-assisted thematic analysis of 22,374 online discussions on its subreddit. Using Identity Negotiation Theory as an analytical lens, we identified a three-stage process: 1) five user motivations; 2) an identity negotiation process involving three communication expectations and four identity co-construction strategies; and 3) three emotional outcomes. Our findings surface the …

Creating Disability Story Videos With Generative Ai: Motivation, Expression, And Sharing, Shuo Niu, Dylan Clements, Hyungsin Kim

Computer Science

Generative AI (GenAI) is both promising and challenging in supporting people with disabilities (PwDs) in creating stories about disability. GenAI can reduce barriers to media production and inspire the creativity of PwDs, but it may also introduce biases and imperfections that hinder its adoption for personal expression. In this research, we examine how nine PwD from a disability advocacy group used GenAI to create videos sharing their disability experiences. Grounded in digital storytelling theory, we explore the motivations, expression, and sharing of PwD-created GenAI story videos. We conclude with a framework of momentous depiction, which highlights four core affordances of …

When Generative Ai Is Intimate, Sexy, And Violent: Examining Not-Safe-For-Work (Nsfw) Chatbots On Flowgpt, Xian Li, Yuanning Han, Di Liu, Pengcheng An, Shuo Niu

Computer Science

Content Warning: This paper contains sexually explicit and violent images and text. User-created chatbots powered by generative AI offer new ways to share and interact with Not-Safe-For-Work (NSFW) content. However, little is known about the characteristics of these GenAI-based chatbots and their user interactions. Drawing on the functional theory of NSFW on social media, this study analyzes 376 NSFW chatbots and 307 public conversation sessions on FlowGPT. Findings identify four chatbot types: roleplay characters, story generators, image generators, and do-anything-now bots. AI Characters portraying fantasy personas and enabling hangout-style interactions are most common, often using explicit avatar images to invite …

The Sixth Sense Garment: A State-Of-The-Art Framework For Sustainable Neurofashion, Andrew Burnstine

Faculty and Staff Publications & Presentations

No abstract provided.