22232 research outputs found
Sort by
AI in Medical Practice and Education: A Work in Progress
No full textAt the University of Nevada, Reno School of Medicine, we’ve been working for the past two years to integrate AI into pre-clinical medical education in ways that prepare students for the tools and challenges of future AI-augmented clinical practice. This includes formal curricular workshop exposure and guided experimentation with AI in data-driven capstone projects. In addition, ongoing projects include the pilot of a research design and workflow tool and the integration of ambient documentation into our simulation center. This session will reflect on what we’ve done, what we’re building toward, and what we’ve learned along the way, shaped by ever evolving technology and the constraints of limited resources
KEYNOTE: The Opposite of Cheating: Teaching for Integrity in the Age of AI
No full textIn these days of an ever-expanding internet, generative AI, and term paper mills, students may find it too easy and tempting to cheat, and teachers may think they can’t keep up. What’s needed, and what Tricia Bertram Gallant and David A. Rettinger offer in their timely book, is a new approach—one that works with the realities of the twenty-first century, not just to protect academic integrity but also to maximize opportunities for students to learn.Bertram Gallant will share a positive, forward-looking, research-backed vision for what classroom integrity can look like in the GenAI era, both in cyberspace and on campus. This includes workable measures teachers can use to better understand why students cheat and to prevent cheating while aiming to enhance learning and integrity. Additionally, her work aims to revise the conversation around integrity, refocus classes and students on learning, reconsider the structure and goals of assessment, and generally reframe our response to cheating. At the core of this strategy is a call for teachers, academic staff, institutional leaders, and administrators to rethink how we “show up” for students, and to reinforce and fully support quality teaching, learning, and assessment
Artificial Intelligence (AI) and the Anthropic Economic Index in the Mountain West, 2025
No full textThis fact sheet presents 2025 data on the state of artificial intelligence (AI) adoption among the five Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah. The data are sourced from the “Anthropic Economic Index,” which provides data on Claude.ai (an AI large language model) and its adoption across all 50 U.S. states and Washington, D.C. This fact sheet focuses on Claude.ai usage, the most common topic Claude.ai has been used for, and augmentation and automation shares for each Mountain West state
Preparing for the Artificial Intelligence (AI) Economy in the Mountain West, 2025
No full textThis fact sheet presents data from the Brainly report, “Here Are the States Most (and Least) Prepared to Win the AI Race in 2025” for the five Mountain West states of Arizona, Colorado, New Mexico, Nevada, and Utah. This fact sheet highlights the national and individual rankings of four key metrics for each Mountain West state: the fixed percentage of businesses using artificial intelligence (AI); the number of AI jobs per 1,000 workers; the number of AI-related degrees per 10,000 people ages 20-24; and federal funding for small business technology innovation per $1 million of gross domestic product (GDP)
Chronic Student Absenteeism in the Mountain West, 2018-2023
No full textThis fact sheet examines data on chronic student absenteeism rates across five Mountain West states: Arizona, Colorado, Utah, New Mexico, and Nevada. The “Tracking State Trends in Chronic Absenteeism” report by FutureEd, an education policy think tank at Georgetown University, provides data for 42 states and the District of Columbia for the school years of 2018-2019, 2021-2022, and 2022-2023
Epigenetic Regulation and Tumor Suppressive Function of lncRNA EP300-AS1 in Nasopharyngeal Carcinoma Through Activation of TFAP2C Binding to CST6: Implications for Diagnosis, Prognosis, and Therapy
No full textThe long non-coding RNA EP300-AS1 (lncRNA EP300-AS1), identified as a potential regulatory factor in various cancers, remains underexplored in nasopharyngeal carcinoma (NPC). This study investigated EP300-AS1’s regulatory mechanisms in NPC, particularly its interaction with transcription factor AP-2 Gamma (TFAP2C) and its effect on cystatin E/M (CST6) expression. Employing clinical samples and NPC cell lines, we conducted in vitro and in vivo xenograft experiments to assess the impacts of modulating EP300-AS1 expression. Techniques such as CCK8, migration, scratch, apoptosis assays, cell cycle analysis, immunoblotting, and fluorescence experiments elucidated EP300-AS1’s role in NPC. The interaction between EP300-AS1 and TFAP2C in regulating CST6 expression was verified using FISH, ChIP, RNA pull-down, and silver staining assays. Results indicated lower expression levels of EP300-AS1 and CST6 in NPC, with EP300-AS1 suppression inhibiting cell proliferation, migration, and invasion, while promoting apoptosis and maintaining the cell cycle in the G1 phase. EP300-AS1 also modulated epithelialmesenchymal transition (EMT) marker expression, suggesting a role in metastasis control. Conclusively, EP300-AS1 acts as a potential tumor suppressor in NPC by interacting with TFAP2C and targeting CST6, offering novel biomarkers and therapeutic targets through its influence on methylation and the tumor microenvironment
Rainy Day Funds in Mountain West States, FY2024
No full textThis fact sheet presents data on rainy day funds for fiscal year 2024 in the five Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah, as originally reported in the 2025 Governing Magazine article, “Growth of State Rainy Day Funds Has Slowed Down.” These data capture the number of days each state could fund state government operations using only rainy day funds, which represent the money states set aside to maintain operations during economic downturns or fiscal stress
Blood Flow Occlusion Superimposed on Low-Volume, Low-Intensity Knee Extensions Does Not Evoke Hypoalgesia: A Pilot Study
No full textTopics in Exercise Science and Kinesiology Volume 6: Issue 1, Article 9, 2025. Exercise-induced hypoalgesia (EIH) is a transient decrease in pain perception that can be observed following various tasks, including low-intensity and high-intensity exercise. The application of blood flow occlusion (BFO) can help enhance exercise adaptations while being able to exercise at a low intensity, which has important implications for clinical and rehabilitative settings. Through descending inhibitory pathways, BFO-induced pain can potentially alleviate exercise-induced pain. This study aimed to assess whether the superimposition of BFO – and its associated augmented perceived responses – during low-intensity, low-volume resistance exercise could induce hypoalgesia. Nineteen healthy adults (10 females) attended three sessions: i) no exercise (CTRL), ii) two minutes of dynamic single-leg knee extension at 10% body weight (EXER), and iii) EXER with complete occlusion applied to the upper exercising leg (OCCL). Handheld algometry-derived pain pressure threshold (PPT) of the trapezius and contralateral and ipsilateral rectus femoris muscles were measured pre- and post-exercise, and after 5 and 10 min of recovery. Visual analog scales were used to rate perceived pain (from 0 to10) and effort (from 6 to 20). Although pain and effort were augmented in the OCCL condition (Pain: 6±2; Effort: 14±3) compared to CTRL (Pain: 2±2, p)
Co-Creating Learning Journeys
No full textViewing education as a journey of exploration and discovery, I invite students to co-create our path. As a “guide on the side,” I help students build a foundation while encouraging autonomy through co-creation—where students contribute to course design, content, assessment, and learning activities. This collaborative approach fosters deeper engagement, critical thinking, and meaningful learning. Research shows co-creation improves academic performance, skill development, and student-staff relationships. Instructors can support this by framing learning as exploration, modeling curiosity, building inclusive learning communities, and offering flexible, student-driven curricular choices that include research, topic proposals, and the creation of assessments based on co-developed content.https://oasis.library.unlv.edu/btp_expo/1223/thumbnail.jp
The Artificial Intelligence (AI) Economy in the Mountain West, 2025
No full textThis fact sheet reports on the artificial intelligence (AI) readiness of five Mountain West metropolitan statistical areas (MSAs): Phoenix-Mesa-Chandler, AZ; Salt Lake City-Murray, UT; Denver-Aurora-Centennial, CO; Las Vegas-Henderson-North Las Vegas, NV; and Albuquerque, NM. Using data from the Brookings Institution\u27s “Mapping the AI Economy” report, the MSAs are benchmarked based on their overall population, employment, talent, adoption, and innovation