46033 research outputs found
Sort by
Kiwanis Club with Two of the Founders, ca. 1970
Picture of a photo from the Grand Forks Herald of members of the Grand Forks Kiwanis Club, ca.1970.
Two founders of Grand Forks Kiwanis Club, Dr. George Abbott, left, and George Dixon, second from left, are the only surviving charter members of the service club. Dixon addressed the club at it\u27s Monday meeting. Abbott, 96, was a program chairman, a position he has held for 32 years. Everette Knudsvig, second from right, is the newest member and Ernie Collette Jr., the club president. (Citation taken from the Herald photo)https://commons.und.edu/gf-city-photos/1256/thumbnail.jp
UND Green
A swainsons hawk flying over Painted Canyon with stylized moons on the skyline. White uses the original UND school colors of green and rose pink with accents of metallic gold. This piece was commissioned by UND Art Collections to be displayed in University House on campus.https://commons.und.edu/native-art/1100/thumbnail.jp
First Post Office in Grand Forks, ca.1870
Photograph of the log cabin that was the first post office in Grand Forks, it belonged to Nicholas Hoffman. The building stood on the site of 711 Reeves Drive. Stanford C. Cady was the first postmaster of the city, he is credited for naming Grand Forks. He used the English derivative of the French term La Grandes Forches . Photo dates back to 1970\u27s. (Description taken from back of photograph.)https://commons.und.edu/gf-city-photos/1260/thumbnail.jp
Physics-integrated neural networks for improved mineral volumes and porosity estimation from geophysical well logs
Accurate estimation of mineralogy from geophysical well logs is crucial for characterizing geological formations, particularly in hydrocarbon exploration, CO2 sequestration, and geothermal energy development. Current techniques, such as multimineral petrophysical analysis, offer details into mineralogical distribution. However, it is inherently time-intensive and demands substantial geological expertise for accurate model evaluation. Furthermore, traditional machine learning techniques often struggle to predict mineralogy accurately and sometimes produce estimations that violate fundamental physical principles. To address this, we present a new approach using Physics-Integrated Neural Networks (PINNs), that combines data-driven learning with domain-specific physical constraints, embedding petrophysical relationships directly into the neural network architecture. This approach enforces that predictions adhere to physical laws. The methodology is applied to the Broom Creek Deep Saline aquifer, a CO2 sequestration site in the Williston Basin, to predict the volumes of key mineral constituents—quartz, dolomite, feldspar, anhydrite, illite—along with porosity. Compared to traditional artificial neural networks (ANN), the PINN approach demonstrates higher accuracy and better generalizability, significantly enhancing predictive performance on unseen well datasets. The average mean error across the three blind wells is 0.123 for ANN and 0.042 for PINN, highlighting the superior accuracy of the PINN approach. This method reduces uncertainties in reservoir characterization by improving the reliability of mineralogy and porosity predictions, providing a more robust tool for decision-making in various subsurface geoscience applications
Report: APLU Cornell University Grant for Supporting Indigenous Student Success Initiatives, 2024
Within the PhD in Indigenous Health, we have created a two-year Indigenous Health Seminar curriculum in which students enroll in a one-credit course every semester for their first two years of the program. Held in the summer, this a one-week, in-person seminar provides opportunities for students to develop relationships with their peers and the Department’s faculty and staff. This report highlights the impact of the program and the need for financial support to assist Indigenous health scholars
Impact of Medication Opioid Use Disorder (MOUD) Programs in Emergency Departments
The purpose of this paper is to provide a discussion of how a medication opioid use disorder (MOUD) programs integrated into the emergency department (ED) can improve patient’s outcomes compared to standard ED discharges. This study utilized a systematic literature review using PubMed, CINAHL and Google Scholar. The initial literature search identified 594 articles. After applying the predefined inclusion and exclusion criteria, 18 articles were selected. Inclusion criteria included peer reviewed articles that focused on opioid use disorder (OUD) patients treated in the ED with OUD medications while exclusion criteria involved articles with OUD patients treated in ED without OUD medications. The level of evidence summary for the 18 selected articles indicated the strongest level of evidence came from randomized control trials while cohort and qualitative studies provided data at a lower level of evidence. The results are divided into four sections; treatment compliance and readmissions rates, reduction in opioid relapse, enhanced recovery outcomes and comparison to standard ED discharge. Based on this literature review, implementing MOUD programs in the ED is effective in the fight against OUD when compared to standard ED discharge practices. Implementation of MOUD programs in EDs help reduce mortality rates related to opioid use disorders by decreasing the risks of fatal overdoses and offering treatment in the early stages of recovery. EDs serve as the entry point for OUD patients and can connect them to supportive services, providing structured recovery plans to help reduce relapse and subsequent ED visits
Evaluating the Effectiveness of Telehealth Interventions in Managing Type 2 Diabetes Among Adults in Underserved Rural Areas
Managing Type 2 diabetes (T2D) in underserved rural areas presents ongoing challenges due to limited healthcare access and provider shortages. Telehealth interventions, such as remote monitoring, mobile health applications, and virtual consultations, have emerged as promising strategies to enhance care delivery. This systematic review evaluated the effectiveness of telehealth in improving glycemic control and patient satisfaction among adults with T2D in rural settings. Recent studies, including randomized controlled trials, cohort studies, and systematic reviews published between 2019 and 2025, were analyzed. Overall, telehealth was associated with reductions in hemoglobin A1c (HbA1c), improved medication adherence, and increased patient engagement. High levels of patient satisfaction were commonly reported, often linked to convenience, accessibility, and personalized support. However, not all findings were positive; effectiveness varied depending on patient demographics, intervention design, and digital infrastructure. Barriers such as limited broadband access, digital literacy gaps, and inconsistent provider engagement often diminished outcomes. For nurse practitioners (NPs), particularly those practicing in rural and underserved settings, telehealth offers a scalable and clinically relevant tool to extend chronic disease management and improve continuity of care. NPs are uniquely positioned to lead telehealth implementation through patient education, digital coaching, and interdisciplinary coordination. These findings support integrating telehealth into rural primary care models and underscore the need for continued research on intervention design and equitable access. Thoughtful implementation of telehealth may help reduce health disparities and enhance diabetes care outcomes across vulnerable populations
Grave in the Canal
A grave of an unidentified soldier in Guadalcanal. Title taken from photographer\u27s original Album.https://commons.und.edu/infantry-photos/1089/thumbnail.jp