Digital Commons Network^™

3-Ls4-3: Habitats’ Effects On Animal Survival, Elementary Science Teacher Resource Database

3rd Grade

No abstract provided.

3-Ls4-4: How Do Animals Survive Environmental Change?, Abby Richardson

3rd Grade

No abstract provided.

3-Ess3-1: Water, Water Everywhere!, Emma Cox

3rd Grade

No abstract provided.

3-Ls4-3: Mouse Fest, Elizabeth Grochocinski

3rd Grade

No abstract provided.

3-Ls1-1: Key Aspects Of Life Cycles, Elementary Science Teacher Resource Database

3rd Grade

No abstract provided.

3-Ls4-3: How Do Animals Survive In Different Habitats?, Colleen Leonard, Gabrielle Duke

3rd Grade

No abstract provided.

The Divine Feminine Reframed: Dogma And Doctrine, Icon And Flesh, And The Sacred Embodiment Of Reclamation, Natasha Keckley

Dance (MFA) Theses

This thesis interrogates Marian iconography and its role in constructing a moral binary that marks female bodies as either sanctified or sinful. Drawing on feminist and postcolonial theory, iconographic analysis, and historical case studies, the research analyzes how Christian symbology established the Marian Mold: a theological aesthetic apparatus that exalts feminine sanctity through ideals of virginity, obedience, and maternal receptivity while constraining feminine expression. This paradigm, propagated through the British Empire’s colonial regimes, shaped the regulation and reinterpretation of embodied traditions. The thesis investigates these dynamics through two case studies: the Devadasi tradition and Bharatanatyam’s reformulation in South India, and …

5-Ls2-1: Who Eats What? Modeling Matter Movement In Food Chains, Madeline Niemeyer

5th Grade

No abstract provided.

4-Ls1-1: Physical Features, Maddie Palm

4th Grade

No abstract provided.

4-Ls-1: External And Internal Plant/Animal Structures, Daniela Manzanero

4th Grade

No abstract provided.

4-Ls1-1: Animal Adaptations, Addison Pantell

4th Grade

No abstract provided.

Handwritten Poetry By Gary Drinkard, Gary Drinkard

Gary Drinkard Creative Writings

Handwritten poetry from Gary Drinkard.

Preparing Elementary Teachers Through Targeted Science Content And Hands-On Learning, Manar Yamany, Jeffrey Carver, Susie Huggins, Arooj Justin, Yuanhua Wang

2026 Scholarly Teaching Conference: Concurrent Session Papers

This session presents an instructional approach implemented in the undergraduate course Science for Elementary Educators, designed to intentionally align science content instruction with the specific learning needs of future elementary teachers. The course focuses on developing conceptual understanding in core elementary science domains, physical science, life science, and earth and space science, while modeling developmentally appropriate instructional practices suitable for elementary classrooms.

The teaching practice emphasizes hands-on, inquiry-based science experiences that reflect the types of learning activities preservice teachers are expected to facilitate with their own students, while engaging with the content at a deeper conceptual level appropriate for …

Research In Progress. Why Physiology Feels Hard: Supporting The Transition To Self-Directed Learning In Post-Secondary Physiology, Jaelyn Zoe Rohrbaugh, Mark Paternostro

2026 Scholarly Teaching Conference: Poster Session Papers

Physiology is widely recognized as one of the most challenging courses for STEM students. Contributing factors include the discipline’s inherent complexity, instructional methods, and student preparedness, with both faculty and students identifying the nature of the discipline as the primary challenge. Many undergraduates enter college having experienced predominantly teacher-directed, pedagogical instruction, whereas success in college-level physiology requires self-directed, andragogical learning strategies. We hypothesize that students’ difficulties arise more from a lack of self-directed learning skills than from content complexity alone. To investigate this, we administered an anonymous survey to 340 students spanning freshman to professional levels, achieving a 93% completion …

Scientific Kenyon: Neuroscience Edition (Full Issue)

Scientific Kenyon: The Neuroscience Edition

No abstract provided.

Get The Fruc(Tose) Out Of My Food, Johanna Huelsman

Scientific Kenyon: The Neuroscience Edition

No abstract provided.

Epigenetic Hangovers: Your Brain On Alcohol, Cindy Chen

Scientific Kenyon: The Neuroscience Edition

No abstract provided.

Ctrl + Alt + Neuron, Stuart Hilton

Scientific Kenyon: The Neuroscience Edition

No abstract provided.

What The Body Feels, The Mind Reveals: How Inflammation Shapes Emotions, Jamie Murphy

Scientific Kenyon: The Neuroscience Edition

No abstract provided.

Smile! Your Brain Is On Camera, Natalie Stone

Scientific Kenyon: The Neuroscience Edition

No abstract provided.

When Empathy Goes Quiet, Miko Warshaw

Scientific Kenyon: The Neuroscience Edition

No abstract provided.

“Ora’S Deep Lament”: Inspired By Mk Rawlings And My Persevering Pioneer Great-Grandmother, Kathlyne Mcdonald Walkup Sheppard

The Marjorie Kinnan Rawlings Journal of Florida Literature

No abstract provided.

Human Perceptions Of Social Intelligence In Large Language Models, Derek Koehl

Dissertations

This dissertation investigates how users form perceptions of social intelligence and trust when interacting with large language model chatbots. Three experimental studies manipulated chatbot agreeableness, goal orientation, and simulated short-term memory, measuring perceived social intelligence and trust. The primary finding is an asymmetric effect of personality: disagreeable chatbot behavior produced large reductions in perceived social intelligence and trust, whereas agreeable behavior produced negligible gains above a warm baseline, consistent with negativity bias in social cognition. Goal orientation did not independently enhance perceptions but functioned as a contextual moderator. Simulated memory produced medium-to-large increases in perceived social intelligence without reliably increasing …

Quantitative Metabolomics And ¹³C-Enrichment Analysis Of The Effects Of Fat10 Overexpression On Serum And Hepatocytes, Emily C. Hunt

Dissertations

Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as nonalcoholic fatty liver disease, is associated with obesity and type 2 diabetes, and as the prevalence of these conditions increases, the incidence of MASLD is expected to rise. However, the mechanisms that underlie the development of MASLD are complex and incompletely understood. Previous work from our group has indicated that the human leukocyte antigen-F adjacent transcript (Fat10) is overexpressed in the LEW.1WR1 rat model, which develops features of MASLD. The objective of this work was to quantify metabolites associated with MASLD in response to Fat10 overexpression. To achieve this end, we …

Contributor Biographies

Digressions: Literary & Art Journal

No abstract provided.

Rna-Micelles As Self-Assembling Structures For Efficient Co-Delivery Of Synergistic Sirna And Nucleoside Analogues To Treat Crc Lung Metastasis, Kai Jin, Piotr G. Rychahou, Daniel W. Binzel, B. Mark Evers, Peixuan Guo

Markey Cancer Center Faculty Publications

SiRNA has been widely studied in cancer gene silencing over the last 25 years. However, few siRNA-based therapeutics have been approved by the FDA. An RNA-micelle platform provides a powerful therapeutic tool through simple one-step, high-yield production that is capable of efficient colorectal cancer lung metastasis treatment, a current lethal condition with a short survival rate post-diagnosis. Here, it is reported that the use of RNA-micelles co-carrying siRNA and nucleoside analogues to completely inhibit lung metastasis of colorectal cancer (CRC). The major advantage of the RNA-micelle is the successful co-delivery of siRNA and chemotherapeutic agent in a single delivery vehicle …

Eef2k Promotes Immune Evasion In Melanoma Via Cyclin D1–Mediated Stabilization Of Pd-L1, Yijie Ren, Darby J. Ballard, Anil Kumar, Andy F. Song, Mitiksha Gupta, Xiaofang Xiong, Xingcong Ren, Jugal Kishore Das, Jin-Ming Yang, Jianxun Song

Markey Cancer Center Faculty Publications

Eukaryotic elongation factor 2 kinase (eEF2K) is a stress-responsive regulator of protein synthesis implicated in melanoma progression, but its role in tumor immune evasion remains poorly defined. We investigated how eEF2K influences programmed death ligand 1 (PD-L1) expression through modulation of Cyclin D1. We analyzed gene expression and dependency datasets from The Cancer Genome Atlas and the Cancer Dependency Map. Protein–protein interactions were assessed by co-immunoprecipitation. Cyclin D1 was inhibited pharmacologically with palbociclib. Immune responses were evaluated in murine B16-OVA and human A2058 melanoma models using flow cytometry and immunohistochemistry after genetic or pharmacologic modulation of eEF2K and Cyclin D1. …

Characteristics Of The Health-Associated Oral Microbiome In Young Nonhuman Primates, J. L. Ebersole, O. A. Gonzalez

Markey Cancer Center Faculty Publications

Nonhuman primates have been shown to develop periodontitis with clinical and demographic features similar to humans. This preclinical disease model is well-positioned to advance the elucidation of novel biologic-based preventive and therapeutic approaches to controlling periodontitis, a chronic infection and immunoinflammatory disease. In this analysis, the oral microbiomes of younger (10–19 human years; n = 30) nonhuman primates are compared for matriline (an indicator of heritability), sex, and age variations. A holistic assessment of the microbiome similarities/differences suggested two primary conclusions in this younger group of orally healthy nonhuman primates. First, at the microbiome level of phyla, orders, and families, …

Rhythmic Gymnastics Gesture Animation, Tyriana White

Digressions: Literary & Art Journal

No abstract provided.

Cost-Aware Predictive Routing For Vision-Language Models, Sahil Sait Naveed

Master's Projects

Vision-language models (VLMs) are increasingly used for multimodal tasks, but their inference costs vary widely across model tiers. This work presents a predictive routing framework that assigns each query to the most cost-effective VLM by using multimodal embeddings, clustering, and per-cluster model error estimates. Evaluated on six commercial VLMs, the selected router reduces average cost by about 49 percent relative to the quality-first setting on both validation and test. This comes with accuracy losses of 0.4 percentage points on validation and 0.9 on held-out test data. It also outperforms K-NN and ZeroRouter routing baselines while providing lowercost operating points than …