Digital Commons Network^™

Informatics At The Frontier Of Cancer Research, Kathleen Noller, Malachi Griffith, Daniel Marcus, Et Al.

2020-Current year OA Pubs

Digitized healthcare data, high-throughput profiling technologies, and data repositories have facilitated the emergence of a new era of cancer research. Each data stream requires specialized analysis methods for interpretation. The data-driven era of cancer research requires the development, enhancement, and sustainment of informatics technology software infrastructure, including fundamental methodology development in artificial intelligence and data science. We review current and emerging informatics technology developments for cancer research and discovery, spanning molecular and cellular characterizations, image analysis, informatics, and therapeutics. Summarizing the diverse methods and applications of informatics throughout cancer research identifies themes and emerging areas for the next generation of …

Sox2 Regulates Foregut Squamous Epithelial Homeostasis And Is Lost During Barrett's Esophagus Development, Ramon U. Jin, Yuanwei Xu, T. Mamie Lih, Yang-Zhe Huang, Toni M. Nittolo, Blake E. Sells, Olivia M. Dres, Jean S. Wang, Qing K. Li, Hui Zhang, Jason C. Mills

2020-Current year OA Pubs

Esophageal adenocarcinoma is increasingly prevalent and is thought to arise from Barrett's esophagus (BE), a metaplastic condition in which chronic acid and bile reflux transforms the esophageal squamous epithelium into a gastric-intestinal glandular mucosa. The molecular determinants driving this metaplasia are poorly understood. We developed a human BE organoid biobank that recapitulates BE's molecular heterogeneity. Bulk and single-cell transcriptomics, supported by patient tissue analysis, revealed that BE differentiation reflects a balance between SOX2 (foregut/esophageal) and CDX2 (hindgut/intestinal) transcription factors. Using squamous-specific inducible Sox2-KO (Krt5CreER/+ Sox2Δ/Δ ROSA26tdTomato/+) mice, we observed increased basal proliferation, reduced squamous differentiation, and expanded metaplastic glands at …

August 15, 2025 Ereporter, University Of Alabama At Birmingham

eReporter (campus newsletter)

No abstract provided.

Ophthalmology Virtual Shadowing And Mentorship Program For Undergraduates Underrepresented In Medicine: Framework And 2-Year Survey, Edward S. Lu, Kira L. Wang, Grace Baldwin, Augustine Bannerman, Douglass A. Bryant, Jocelyn Rodriguez, Alice C. Lorch, Ankoor S. Shah, John B. Miller

Journal of Academic Ophthalmology

Background: Increasing underrepresented in medicine (URiM) trainees in ophthalmology is crucial to better serve a diverse patient population. Purpose: To assess the impact of a virtual shadowing and mentorship program for undergraduate students who self-identified as URiM on student interest in medicine, research, and ophthalmology. Methods: A structured, semester-long mentorship program was publicized to premedical undergraduate students at two local universities. Depending on interest, students chose to participate in any of the three following program components: 1) virtual shadowing sessions where faculty presented patient cases and shared career paths, 2) mentorship on a range of topics (e.g. research, career planning), …

Education Outcomes From An Ophthalmology Microsurgery Course For Medical Students, Michael Y. Zhu, Keke Liu, Joanne C. Wen, Sandra Stinnett, Jullia A. Rosdahl

Journal of Academic Ophthalmology

Background: Microsurgery training programs are critical for developing the skills needed by ophthalmology residents, but they are not typically offered to medical students. However, incorporating a microsurgery course into medical school curricula may help students more carefully consider a career in ophthalmology and improve learning outcomes during their training. Purpose: This article describes a microsurgery course for medical students and evaluates its educational impact. Methods: A microsurgery course was developed and implemented for third (MS3) and fourth (MS4) year medical students at Duke University School of Medicine. The fourweek course included six didactic lectures, three hands-on skills sessions, and the …

Analyzing The Role Of Ai In Resident Education: An Evaluation Of Chatgpt On Ophthalmology Trainee Examination Questions By Subtopic, Kimberly Cartagena, Simran Ohri, Carolina Ramos, Yaxel Levin-Carrion, Alexandra Sanchez, Marko Oydanich, Albert S. Khouri

Journal of Academic Ophthalmology

Background: ChatGPT is a large-scale language model trained on various datasets to learn, analyze, and generate human-like answers to user’s questions. To assess its applicability to medical education, more information is required to understand whether its analyses can provide accurate and coherent responses to questions. The aim of this study was to characterize ChatGPT responses to ophthalmology questions according to subtopic to determine where the system might be used reliably in resident education and where its performance remains weak.

Methods: Ophthalmology questions were obtained from a widely utilized study resource, OphthoQuestions. Thirteen sections, each with a differing ophthalmic …

Integrating Artificial Intelligence And Evidence-Based Guidelines Into Nursing Education, Allyson Kornahrens, Kerriann Latten

International Journal of Transformative Teaching and Learning in Higher Education

Artificial Intelligence (AI) and emerging technologies are transforming the healthcare system and patient care delivery. Due to this, there is an essential need for faculty to incorporate AI into the nursing curriculum to educate students about its use and improve preparation for clinical practice. This practice-based article addresses the integration of AI into nursing education for students using AI-driven academic learning activities. These activities, created in alignment with the American Association of Colleges of Nursing (AACN) Essentials, explore clinical decision-making by comparing AI recommendations to evidence-based guidelines. Students are tasked with reflecting on AI’s accuracy and the ethical implications of …

Exploring The Connection Between Teaching Frameworks And Policies For Assessing Teaching, Barbara J. Bird, Beate Brunow, Eric Kyle, Shawn R. Simonson

International Journal of Transformative Teaching and Learning in Higher Education

Most faculty policies aimed at faculty review or assessment of teaching do not include specific teaching criteria and standards but instead lean heavily on student evaluations and peer review of teaching. This approach provides no concrete path for using assessment in a feedback loop that enables teachers to improve teaching. Implementing teaching frameworks can improve feedback loops and assessment policies by providing specific criteria and standards. Developing teaching effectiveness frameworks and connecting them to teaching assessment policies can be a critical step in advancing institutional change initiatives focused on teaching effectiveness. This critical alignment enables sustainable and meaningful change. This …

David Finfrock Diary Entry, David Finfrock

David Finfrock Antartica Exploration

David Finfrock's diary from his trip to Antarctica in December 2002.

Scholars And Changemakers: The Vital Role Of Graduate Students In Campus Women's Centers, Kate J. Freeman, Amber Byrd Ndukwe

Journal for Women and Gender Centers in Higher Education

On college campuses, Women’s Centers serve as a safe space for many marginalized students, faculty, and staff members across campus. These Centers are active spaces that serve a wide variety of individuals including graduate students who play multifaceted roles that are essential to the Center’s work. These students contribute significantly to the functioning of the Center while also gaining professional and personal development from their involvement. In this article, we reflect on our own experiences as two graduate students working within a campus-based Women’s Center while simultaneously integrating literature on the function of graduate students within these spaces. Employing a …

Integrasi Accera Pare Bagi Kehidupan Masyarakat Parigi Dalam Membangun Solidaritas Peserta Didik, Inas Tahirah, I Komang Astina, Yuswanti Ariani Wirahayu

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

Accera pare is a harvest party of the Parigi Village community which is held as a form of gratitude of the farmers for the gifts given by God for being given a smooth harvest. The purpose of this research is to explore the meaning of the accera pare ceremony for the people of Parigi Village and the integration of accera pare in building students' sense of solidarity. The research method used descriptive qualitative with ethnographic approach where the data were analyzed by domain analysis, taxonomy, components and cultural themes. Data sources were obtained through participant observation and in-depth interviews. The …

Open Blueprint: 2025–2040 Roadmap For A Circular Orbital Megastation — Rebco Maglev Ring, 6d Spirulina–Mycelium Photobioreactor And Mof-Li Water–Air Loop, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3 and GPT-5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). It discloses 160 enabling inventions for a circular orbital megastation: REBCO maglev gravity ring (mechanics, cryo, safety), 6D spirulina–mycelium photobioreactors (control, QA, imaging, biotech), and …

Ai-Driven Solutions For Electricity Fraud Detection: A Data-Centric Approach, Fatemeh Alimoradi, Zahra Alimoradi, S. Mohammadali Zanjani, Ghazanfar Shahgholian

NJF Intelligent Engineering Journal

Electricity fraud detection presents a significant challenge for power distribution companies, as non-technical losses resulting from fraudulent activities adversely affect revenue and operational efficiency. This study presents a machine learning-driven approach for accurately identifying fraudulent electricity consumption patterns. A comprehensive analysis of electricity usage data is conducted using multiple classification models, including Support Vector Machine (SVM), K-Nearest Neighbors (KNN), a Stacking Model integrating SVM, KNN, Random Forest, and Gradient Boosting, as well as a Weighted Model leveraging confidence-based prediction adjustments. Model performance is evaluated using key metrics, including accuracy, precision, recall, F1-score, AUC-ROC, and confusion matrices. The results indicate that …

Application Of Ann Artificial Network In Slope Behavior Evaluation Using Machine Learning Technique, Marziyeh Tourani, Hadi Bahadori

NJF Intelligent Engineering Journal

In geotechnical engineering, evaluating slope stability remains a significant challenge due to inherent soil variability and environmental uncertainty. This study explores the application of Artificial Neural Networks (ANN) in predicting the factor of safety (FoS) of slopes using dimensionless input variables. An initial dataset of 349 samples was refined to 259 validated cases after removing outliers and incomplete entries. The input parameters were transformed into nondimensional forms c / γh, (tan(⌀)) / (tan (β)), and p / γh based on fluid mechanics principles to improve generalization and reduce dimensional bias. A feedforward ANN model …

Sleep Disorder Diagnosis Using Eeg Signals And Lstm Deep Learning Method, Mohammad Reza Yousefi, Reza Rahimi

NJF Intelligent Engineering Journal

Diagnosing brain disorders, particularly sleep disorders, has emerged as a critical area of research in both basic sciences and engineering. Sleep disorders encompass a range of conditions, including excessive or insufficient sleep, frequent awakenings, difficulty falling asleep, and challenges in reaching deep sleep stages. A key application of sleep disorder diagnosis lies in supporting the medical community through the development of advanced algorithms and models capable of accurately identifying these disorders based on individual brain signals, such as those captured by electroencephalography (EEG). These sophisticated approaches facilitate the creation of personalized treatment programs, paving the way for more targeted and …

Enhancing Access And User Engagement Through The Implementation Of The Library Mobile App, Kebede H. Wordofa

The Southeastern Librarian

Mobile applications (apps) are prevalent across all sectors, including libraries. Today, libraries are in-creasingly adopting mobile technologies to enhance the delivery of resources and services to smartphone and tablet users (Singh & Madhusudhan, 2023). This article presents a case study of the implementation of the Ex Libris Library Mobile App by the Woodward Library at Austin Peay State University (APSU) to improve access to library resources, enhance service delivery, and promote user interaction. The article discusses the app platform, design features, the app’s benefits, and the various resources and services made available through the app. It also highlights the app …

Nanofluid-Enhanced Hvac&R Systems (2015–2025): Experimental, Numerical, And Ai-Driven Insights With A Strategic Roadmap, Aung Myat, Md Mashiur Rahman, Muhammad Akbar

Mechanical and Manufacturing Engineering Faculty Research

Heating, ventilation, air conditioning, and refrigeration (HVAC&R) systems account for a significant share of global energy demand, prompting intensive research into advanced thermal enhancement techniques. Among these, nanofluids—colloidal suspensions of nanoparticles in base fluids—have shown promise in boosting heat transfer performance. This review provides a structured and critical evaluation of nanofluid applications in HVAC&R systems, synthesizing research published from 2015 to 2025. A total of 200 peer-reviewed articles were selected from an initial pool of over 900 through a systematic filtering process. The selected literature was thematically categorized into experimental, numerical, hybrid, and AI/ML-based studies, with further classification by fluid …

Challenges And Opportunities On Achieving An Adequate Delivery Efficiency And Immunogenicity With Peptide-Based Anticancer Vaccines, Yanqing Wang, Da Sun, Victoria Laney, Hong Wang, Zheng Rong Lu

Faculty Scholarship

Peptide vaccines are based on small peptide segments that contain antigenic epitopes recognizable by immune cells. Unlike traditional vaccines, they include only specific antigenic epitopes rather than entire pathogens or proteins. They are recognized, internalized, processed, and presented by antigen-presenting cells, such as dendritic cells, and subsequently presented to T cells, triggering an immune response. Peptide-based vaccines, an innovative regimen of cancer immunotherapy, have shown the potential to elicit target-specific anti-tumor immune responses, however their therapeutic efficacy is often diminished by their poor stability, rapid clearance from circulation, low immunogenicity, individual variability, and immune escape. In recent years, significant advancements …

A Hybrid Deep Learning Approach For Lung Diseases Classification Using Vision Transformer And Densenet, Noor Abd Alrazak Shnain, Mohammed Abdulameer Aljanabi

NJF Intelligent Engineering Journal

Lung disorders, such as pneumonia, tuberculosis, and COVID-19, remain significant global health issues. Accurate and early detection is of paramount significance to ensure effective treatment and control. Conventional CNN models like DenseNet have shown superior performance in the classification of medical images, whereas Vision Transformers (ViTs) have recently gained momentum as formidable models to capture global context information. Each of these models, however, has limitations when operated standalone. This manuscript suggests an innovative hybrid deep learning framework that synergizes the benefits of both ViT and DenseNet to advance lung disease diagnosis using chest X-ray images. The hybrid model uses both …

Risk Management Practices In The Healthcare Supply Chain: A Cross-Sectional Survey Of Professionals In Saudi Arabia, Maha Ghamedi

MUSC Theses and Dissertations

Healthcare supply chain disruptions threaten the quality of patient care, and can increase costs, particularly in systems reliant on global suppliers. This study examined the risk management practices of healthcare supply chain professionals in Saudi Arabia. A cross-sectional survey of 72 professionals from hospitals, regulatory agencies, and other healthcare organizations revealed that 72.2% experienced supply shortages in the past year, most often involving general medical supplies, specialty medicines, and essential medicines. The most frequently reported risks were supplier shortages, reliance on single-source suppliers, and logistics disruptions, while cybersecurity threats were rarely cited. Although 76.4% of organizations reported having formal risk …

From Coastal Retreat To Seaward Growth: Emergent Behaviors From Paired Community Beach Nourishment Choices, Jorge Lorenzo-Trueba, Arye Janoff, Oshane Thomas, Di Jin, Porter Hoagland, Andrew Ashton

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Coastal communities often address shoreline erosion through beach nourishment, adding externally sourced sand to widen beaches for recreation and property protection. While nourishment enhances beachfront property values, the need for periodic maintenance creates interdependencies where the actions of neighboring communities affect local shoreline dynamics. Using a coupled model of two neighboring communities, we examine the interplay between community nourishment decisions and the redistribution of nourishment sand. We find that the value a community places on wider beaches not only influences their propensity to nourish, but also their and their neighbors' nourishment efficiency and net benefits. Communities that nourish more frequently …

Time-Evolved Constant Voltage Conductivity Measurements Of Common Spaceborne Polymeric Materials, Brian Wood, David King, Jr Dennison

Journal Articles

Long-duration current measurements were made for low-density polyethylene (LDPE), polyimide (PI), polyether ether ketone (PEEK), and biaxially oriented polypropylene (BOPP) to determine their bulk conductivity near room temperature as a function of time. These common thin-film spacecraft material samples were vacuum baked to remove moisture and volatile contaminants to better simulate space conditions. The constant voltage conductivity (CVC) method used a very stable, low-noise dc voltage source and measured the resulting current in a parallel plate geometry. Due to the extremely low conductivity of these four polymeric materials, extended experiments of up to ten days were necessary to establish equilibrium …

Enhancing Sustainable Rice Production Through Organic Plus Fertilizer In Irrigated Paddy Fields, Oviyanti Mulyani, Emma Trinurani Sofyan, Ania Citraresmini, Benny Joy, Anne Yuliana Husen

Jurnal Kultivasi

Sustainable rice farming is increasingly threatened by declining soil fertility, excessive reliance on chemical fertilizers, and environmental degradation from intensive agricultural practices. There is an urgent need for innovative organic fertilizer products that combine organic materials with macro and micronutrient enhancements to restore soil health effectively. This research aimed to evaluate the effect of organic plus fertilizer (OPF) as a sustainable soil amendment to improve soil nutrient status, increase paddy productivity, and enhance overall soil health. The experiment was conducted using a Randomized Block Design (RBD) with nine treatments: one recommended OPF dose, six combinations of NPK (75 – 100%) …

Evaluation Of Color, Water Content, And Antioxidant Properties Of Wood Ear Mushroom With Nano Edible Coating, Packaging, And Storage Temperature, Aulia Afifah Rachman, Jajang Sauman Hamdani, Kusumiyati

Jurnal Kultivasi

Wood ear mushrooms are often consumed in Asia and Tropical America for their jelly-like texture, health, and freshness. However, they are easily damaged due to microbes and poor postharvest handling, which affects quality. The combination of nano edible coating, packaging, and storage temperature offers a solution to these issues. This study aims to evaluate the effect of nano edible coating, packaging, and storage temperature on the color (L*, a*, and b*), water content, and antioxidant properties (total phenolic and flavonoid) of wood ear mushrooms. The study was conducted at the Horticulture Laboratory, Faculty of Agriculture, Universitas Padjadjaran. The experimental design …

Conquer And Prevail Issue 194 August 14 2025, Wofford College. Office Of Marketing And Communications

Conquer and Prevail Newsletter

No abstract provided.

Guatemalan Maya Women’S Attitudes Towards Biomedical Contraception After Migrating To The United States, Shreenaya Prabu, Iris Parshley, Robert Malkin

Maya America: Journal of Essays, Commentary, and Analysis

Medical providers in the United States who discuss the use of contraceptives with Maya women migrants might discover strong reluctance and complex beliefs about the social and physical benefits of biomedical contraceptive measures. This research report presents information about contraceptive usage among Maya in Guatemala and how usage or attitudes toward contraception might have changed while living in the United States. The research team, during 2024, interviewed six adult female Guatemalan Maya refugees over Zoom to understand their thoughts toward contraceptive use before and after migrating. Discussion points included: lack of sexual education in Guatemala, health concerns arising from using …

Full Issue - Maya America V7, I1, Maya America Editors

Maya America: Journal of Essays, Commentary, and Analysis

Full issue of Maya America, volume 7, issue 1.

Usa V. Paul Harmon

2025 Decisions

USDC for the Western District of Pennsylvania

A Meta-Analysis Of Historic Drinking Water Emergency Events Reported In News Articles, Victor Yu, Haiying Wang, Weiwei Mo

Faculty Publications

This study seeks to investigate historical drinking water contamination events that reported by news media to find the key determinants of their outcomes, including the duration and economic cost, and to quantitatively describe the characteristics of past contamination events. ProQuest Global Newsstream and Regional Business News were used to identify an initial list of events and supplemented by additional search on specific information including the response actions, economic cost, and more. These events were analyzed using descriptive statistics, correlation analysis, and regression modeling. Smaller community water systems were found to be more frequently impacted by contamination events. Use restrictions, except …

Phosphorylation Deficient Inducible Camp Early Repressor (Icer) Modulates Tumorigenesis And Survival In A Transgenic Zebrafish (Danio Rerio) Model Of Melanoma, Justin Wheelan, Melissa Rose Spigelman, Angelo Cirinelli, James Reilly, Carlos A. Molina

Department of Biology Faculty Scholarship and Creative Works

Melanoma, the most lethal form of skin cancer, is commonly associated with mutations in the BRAF gene, particularly BRAF^V600E, which drives tumor proliferation via the ERK1/2 signaling cascade. While BRAF inhibitors initially demonstrate efficacy, therapeutic resistance remains a significant challenge. Emerging evidence implicates the cAMP signaling pathway, particularly the cAMP response element-binding protein (CREB) and its repressor, inducible cAMP early repressor (ICER), in melanoma progression and drug resistance. ICER, a transcriptional repressor regulated via Ras/MAPK-mediated phosphorylation and ubiquitination, is degraded in melanoma, undermining its tumor-suppressive role. In a braf^V600E; p53 (loss of function) transgenic zebrafish ( …