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Articles 29821 - 29838 of 29838
Full-Text Articles in Entire DC Network
Teacher Judgment In The Age Of Artificial Intelligence: Collaborative Inquiry Into Generative Ai For Udl-Aligned Instructional Planning In Elementary English Language Arts, Melissa G. Metz
UNF Graduate Theses and Dissertations
This action research study explores how teacher-facing generative artificial intelligence (GAI), specifically Google Gemini, can support educators in UDL-aligned instructional planning within a Title I elementary school. Although AI is often discussed in terms of student-facing applications, less is known about how GAI can assist teachers with lesson planning, differentiation, and the demands of sustaining inclusive Tier I instruction. Guided by a conceptual framework integrating Universal Design for Learning (UDL) and technology integration perspectives, the study engaged four educators in collaborative inquiry through AI Visioning Workshops, reflections, interviews, and planning artifacts.
Data were analyzed through iterative coding, analytic memoing, and …
Operationalizing Mtss: A Case Study Of Principal Leadership Practices In Guiding School-Based Leadership Teams Through Inquiry And Improvement Science, Heather M. Teto
Operationalizing Mtss: A Case Study Of Principal Leadership Practices In Guiding School-Based Leadership Teams Through Inquiry And Improvement Science, Heather M. Teto
UNF Graduate Theses and Dissertations
The COVID-19 pandemic widened academic achievement gaps, creating an urgent mandate for school leaders to implement systemic, data-driven frameworks to support student academic recovery. While the Multi-Tiered System of Supports (MTSS) is a widely adopted framework for addressing these disparities, its success is dependent on the strategic involvement and instructional leadership of the school principal. This qualitative case study explores the lived experiences and leadership characteristics of elementary school principals as they lead School-Based Leadership Teams in implementing a district-developed MTSS framework.
Guided by the principles of Improvement Science and the Plan-Do-Study-Act (PDSA) inquiry cycle, this research examines the specific …
Associations And Condition Sensitivity Of Smartphone-And Force-Plate-Derived Sway Metrics During Vr-Ctsib, Saeed Eshghi, Amin Mohammadi, Eric Schussler, Ryan S. Mccann
Associations And Condition Sensitivity Of Smartphone-And Force-Plate-Derived Sway Metrics During Vr-Ctsib, Saeed Eshghi, Amin Mohammadi, Eric Schussler, Ryan S. Mccann
Rehabilitation Sciences Faculty Publications
Smartphone-based sensors may provide a complement to laboratory-based force-plate balance assessment; however, validation studies have not established whether smartphone–force-plate associations and agreement vary across combined manipulations of visual input and support-surface reliability, or which smartphone-derived metrics are most sensitive to sensory challenges. Therefore, this study compared smartphone-derived and force-plate-derived sway metrics during virtual reality-based clinical test of sensory interaction and balance (VR-CTSIB) conditions. This secondary analysis included 40 adults (20 with chronic ankle instability and 20 healthy controls). Participants completed 30 s double-leg stance trials under six VR-CTSIB conditions combining firm or foam surfaces with NormVision, DisplayOff, and SwayRef visual …
Enhancing Inter-Institutional Ai Research Collaboration Across Multidisciplinary Teams To Increase The National Ai Workforce In Healthcare, Zulfiia Ditto, Paul Warhurst, Jay Johnson, Jamboor K Vishwanatha
Enhancing Inter-Institutional Ai Research Collaboration Across Multidisciplinary Teams To Increase The National Ai Workforce In Healthcare, Zulfiia Ditto, Paul Warhurst, Jay Johnson, Jamboor K Vishwanatha
Faculty, Staff and Student Publications
Inter-institutional team collaboration is critical for impactful multidisciplinary AI research in healthcare. The goal of our project (AIM-AHEAD Connect) is to increase multidisciplinary collaborations by connecting AI/ML experts and healthcare researchers, trainees and professionals to enhance research and improve health for all Americans. As of February 2026, AIM-AHEAD Connect has over 10,100 AI/ML and healthcare experts from across 2,400 institutions, has made more than 7,800 connections and facilitated 194 collaborative online groups. We conducted a unique study to understand collaboration, and analyzed profile, connection, and platform engagement metrics to determine if AI experts and healthcare researchers with more inter-institutional connections …
Prickle4 Drives Microenvironmental Remodeling And Resistance To Parp Inhibition In Idh-Mutant Glioma, Ju Yang, Hua Yang, Yifan Yuan, Chenyang Zhang, Ziwei Fu, Yinghong Xiong, Kexin Ling, Ying Liu, Jason T Huse, Bo Chen, Timothy A Chan, Zengxin Qi, Zhao Zhang, Xiuping Liu, Yuxiang Wang
Prickle4 Drives Microenvironmental Remodeling And Resistance To Parp Inhibition In Idh-Mutant Glioma, Ju Yang, Hua Yang, Yifan Yuan, Chenyang Zhang, Ziwei Fu, Yinghong Xiong, Kexin Ling, Ying Liu, Jason T Huse, Bo Chen, Timothy A Chan, Zengxin Qi, Zhao Zhang, Xiuping Liu, Yuxiang Wang
Faculty, Staff and Student Publications
Mutations in isocitrate dehydrogenase (IDH) genes sensitize gliomas to PARP inhibition (PARPi) by inducing epigenetic reprogramming of DNA damage repair circuits. However, tumors treated with PARPi eventually relapse despite initial responsiveness. In this study, it is demonstrated that the anti-angiogenic agent lenvatinib synergizes effectively with PARPi, resulting in substantial tumor regression and significantly extended survival. Genomic analysis of tumors reveals that PARPi induces widespread transcriptomic changes that are predominantly pro-inflammatory, thereby promoting tumor angiogenesis. Prickle4, a planar cell polarity protein, is identified as a critical mediator of PARPi-induced neovascularization. Targeting Prickle4 effectively overcomes PARPi resistance in these tumors. Collectively, these …
Host Modulation Therapy In Periodontitis: From Established Therapies To Emerging Technologies, Aonjittra Phanrungsuwan, Jiaqi Huang, Neeraja Dharmaraj, Alejandra Cobos Perez, Omid Veiseh, Chun-Teh Lee
Host Modulation Therapy In Periodontitis: From Established Therapies To Emerging Technologies, Aonjittra Phanrungsuwan, Jiaqi Huang, Neeraja Dharmaraj, Alejandra Cobos Perez, Omid Veiseh, Chun-Teh Lee
Faculty, Staff and Student Publications
Periodontitis is a biofilm-induced chronic inflammatory disease, characterized by gingival inflammation and alveolar bone loss. According to a national survey, approximately half of the U.S. adults are affected by periodontal disease. To effectively prevent and treat periodontitis, it is essential to address its underlying causes. The primary etiological factors include polymicrobial synergy and dysbiosis of the oral microbiota, and a dysregulated immune response. The standard therapeutic approach, mechanical removal of biofilm through debridement, sometimes demonstrates limited efficacy, particularly in cases of severe periodontitis, which may require adjunctive or additional therapy. Emerging evidence indicates that periodontal tissue destruction is initiated by …
Erratum: Assessment Of Skin Fibrosis In A Murine Model Of Systemic Sclerosis With Multifunctional Optical Coherence Tomography (Erratum), Jessica Gutierrez, Shervin Assassi, Kirill V Larin
Erratum: Assessment Of Skin Fibrosis In A Murine Model Of Systemic Sclerosis With Multifunctional Optical Coherence Tomography (Erratum), Jessica Gutierrez, Shervin Assassi, Kirill V Larin
Faculty, Staff and Student Publications
This corrects the article "Assessment of skin fibrosis in a murine model of systemic sclerosis with multifunctional optical coherence tomography" in volume 30(3), 036007.
Preclinical Ischemic Stroke Multicenter Trials (Prism) Collective Statement: Opportunities, Challenges, And Recommendations For A New Era, Cenk Ayata, Philip M Bath, Anna M Planas, Stuart M Allan, Johannes Boltze, Claire L Gibson, Marcio A Diniz, Stefano Fumagalli, Fahmeed Hyder, Raymond C Koehler, Arthur Liesz, Sarah K Mccann, Tim Magnus, Louise D Mccullough, Emily S Sena, Simone Beretta, Jaroslaw Aronowski, Francesca Bosetti, Clinton B Wright, Patrick D Lyden, Lauren H Sansing
Preclinical Ischemic Stroke Multicenter Trials (Prism) Collective Statement: Opportunities, Challenges, And Recommendations For A New Era, Cenk Ayata, Philip M Bath, Anna M Planas, Stuart M Allan, Johannes Boltze, Claire L Gibson, Marcio A Diniz, Stefano Fumagalli, Fahmeed Hyder, Raymond C Koehler, Arthur Liesz, Sarah K Mccann, Tim Magnus, Louise D Mccullough, Emily S Sena, Simone Beretta, Jaroslaw Aronowski, Francesca Bosetti, Clinton B Wright, Patrick D Lyden, Lauren H Sansing
Faculty, Staff and Student Publications
Preclinical stroke research faces a critical translational gap, with animal studies failing to reliably predict clinical efficacy. To address this, the field is moving toward rigorous, multicenter preclinical randomized controlled trials (mpRCTs) that mimic phase 3 clinical trials in several key components. This collective statement, derived from experts involved in mpRCTs, outlines considerations for designing and executing such trials. mpRCTs offer advantages such as increased sample sizes, robust statistical design, incorporation of heterogeneity, and standardized protocols, but they face challenges in finding the right balance between standardization and heterogeneity, appropriate stroke model selection, and outcome measures, as well as the …
Engineering Mutation Clones In Mammalian Cells With Crispr/Cas9, Zijun Huo, Jian Tu, Rachel Shoemaker, Dung-Fang Lee, Ruiying Zhao
Engineering Mutation Clones In Mammalian Cells With Crispr/Cas9, Zijun Huo, Jian Tu, Rachel Shoemaker, Dung-Fang Lee, Ruiying Zhao
Faculty, Staff and Student Publications
CRISPR, Clustered Regularly Interspaced Short Palindromic Repeat, as a powerful genome engineering system, has been widely accepted and employed in gene editing of a vast range of cell types. Compared to zinc finger nucleases (ZFNs) or transcription activator-like effector nucleases (TALENs), CRISPR shows a less complicated process and higher efficiency. With the development of different CRISPR systems, it can be used not only to knock out a gene but also to make precise modifications, activate or repress target genes with epigenetic modifications, and even for genome wide screening. Here we will describe the procedure of generating a stable cell line …
Uncertainty-Guided Test-Time Optimization For Personalizing Segmentation Models In Longitudinal Medical Imaging, Jaehee Chun, Austin Castelo, Mckell Woodland, Caleb O'Connor, Mais Al Taie, Aashish Gupta, Shanli Ding, Jeddy Bennett, Anirban Maitra, Matthew A Firpo, Kimberly Kirkwood, Eugene J Koay, Kristy K Brock
Uncertainty-Guided Test-Time Optimization For Personalizing Segmentation Models In Longitudinal Medical Imaging, Jaehee Chun, Austin Castelo, Mckell Woodland, Caleb O'Connor, Mais Al Taie, Aashish Gupta, Shanli Ding, Jeddy Bennett, Anirban Maitra, Matthew A Firpo, Kimberly Kirkwood, Eugene J Koay, Kristy K Brock
Faculty, Staff and Student Publications
Background: Accurate and consistent image segmentation across longitudinal scans is essential in many clinical applications, including surveillance, treatment monitoring, and adaptive interventions. While personalized model adaptation using patient-specific prior scans has shown promise, current approaches typically rely on fixed training durations and lack mechanisms to determine optimal stopping points on a per-patient basis, particularly in the absence of validation labels.
Purpose: We propose an uncertainty-guided test-time optimization (TTO) framework that dynamically adjusts the personalization duration for each patient using a validation-free stopping criterion based on predictive uncertainty.
Methods: Our framework personalizes a generalized segmentation model using patient-specific prior imaging and …
Digital Communication Strategies For Culinary Medicine In Cancer Prevention And Survivorship: Information-Seeking Habits And Content Preferences Of Online Cooking Media Among Adults Participating In Four Cancer Prevention And Control Cohort Studies, Margaret Raber, Sara Fares, Maria Vazquez, Larkin Strong, Carrie Daniel-Macdougall, Karen Basen-Engquist
Digital Communication Strategies For Culinary Medicine In Cancer Prevention And Survivorship: Information-Seeking Habits And Content Preferences Of Online Cooking Media Among Adults Participating In Four Cancer Prevention And Control Cohort Studies, Margaret Raber, Sara Fares, Maria Vazquez, Larkin Strong, Carrie Daniel-Macdougall, Karen Basen-Engquist
Faculty, Staff and Student Publications
Introduction
Poor diet and excess weight have been linked to increased risk for at least 13 types of cancer. Culinary medicine utilizes experiential cooking skill development to improve individuals’ capacity for healthy eating. Digital communication strategies offer pathways for scalable culinary medicine interventions, but little research has explored how online cooking tools could be leveraged for cancer prevention messaging. We conducted a cross-sectional survey study exploring online cooking information-seeking habits and content preferences among participants in four cancer prevention and control cohorts to inform future digital culinary medicine interventions.
Methods
A cross-sectional survey study was conducted with a convenience sample …
Nsd2 Inhibitors Rewire Chromatin To Treat Lung And Pancreatic Cancers, Jinho Jeong, Simone Hausmann, Hanyang Dong, Kacper Szczepski, Natasha M Flores, Liyang Shi, Joanna Lempiäinen, Moritz Jakab, Liyong Zeng, Tourkian Chasan, Eric Bareke, Rui Dong, Emma Carlson, Reinnier Padilla, Dylan Husmann, Julia Thompson, Gerry A Shipman, Emily Zahn, Courtney A Barnes, Laiba F Khan, Liz Marie Albertorio-Sáez, Eva Brill, Vishnu Udayakumar Sunita Kumary, Matthew R Marunde, Danielle N Maryanski, Cheryl C Szany, Bryan J Venters, Carolina Lin Windham, Michal Eligiusz Nowakowski, Iwona Czaban, Mariusz Jaremko, Michael-Christopher Keogh, Kang Le, Michael J Soth, Benjamin A Garcia, Łukasz Jaremko, Jacek Majewski, Pawel K Mazur, Or Gozani
Nsd2 Inhibitors Rewire Chromatin To Treat Lung And Pancreatic Cancers, Jinho Jeong, Simone Hausmann, Hanyang Dong, Kacper Szczepski, Natasha M Flores, Liyang Shi, Joanna Lempiäinen, Moritz Jakab, Liyong Zeng, Tourkian Chasan, Eric Bareke, Rui Dong, Emma Carlson, Reinnier Padilla, Dylan Husmann, Julia Thompson, Gerry A Shipman, Emily Zahn, Courtney A Barnes, Laiba F Khan, Liz Marie Albertorio-Sáez, Eva Brill, Vishnu Udayakumar Sunita Kumary, Matthew R Marunde, Danielle N Maryanski, Cheryl C Szany, Bryan J Venters, Carolina Lin Windham, Michal Eligiusz Nowakowski, Iwona Czaban, Mariusz Jaremko, Michael-Christopher Keogh, Kang Le, Michael J Soth, Benjamin A Garcia, Łukasz Jaremko, Jacek Majewski, Pawel K Mazur, Or Gozani
Faculty, Staff and Student Publications
NSD2 catalyses the epigenetic modification H3K36me2 (refs. 1,2) and is a candidate convergent downstream effector of oncogenic signalling in diverse malignancies3–5. However, it remains unclear whether the enzymatic activity of NSD2 is therapeutically targetable. Here we characterize a series of clinical-grade small-molecule catalytic NSD2 inhibitors (NSD2i) and show that the pharmacological targeting of NSD2 constitutes an epigenetic dependency with broad therapeutic efficacy in KRAS-driven preclinical cancer models. NSD2i inhibits NSD2 with single-digit nanomolar half-maximal inhibitory concentration potency and high selectivity over related methyltransferases. Structural analyses reveal that the specificity of NSD2i for NSD2 …
Applications And Challenges Of Utilizing Digital Pathology And Ai-Enabled Workflows In Clinical Trials, Manu Sebastian, Harsh Batra, Monika Lamba Saini, Staci Kearney, Lorcan Sherry, Michael Cohen, Joe Lennerz, Anil V Parwani
Applications And Challenges Of Utilizing Digital Pathology And Ai-Enabled Workflows In Clinical Trials, Manu Sebastian, Harsh Batra, Monika Lamba Saini, Staci Kearney, Lorcan Sherry, Michael Cohen, Joe Lennerz, Anil V Parwani
Faculty, Staff and Student Publications
This is a comprehensive review on current utilization and challenges of digital pathology adoption in clinical trials and aims to provide a broad view on its impact on pathology review processes in clinical trials. It provides an overview of current pathology review practices in clinical trials and unique advantages digital pathology adoption can offer. The key areas including existing workflows, use case scenarios in different disease areas in clinical trials, including but not limited to patient identification and pre-screening, and regulatory aspects have been described with relevance. In addition, the review delves into the integration of genomics, AI, image analysis, …
Ideational Behavior And Occupational Identity Achievement: A Study Of Emerging Adult College Students Preceding Entry Into The Fouth Industrial Revolution Workforce, Carrington M. Faulk, Michael F. Kosloski, Philip Reed
Ideational Behavior And Occupational Identity Achievement: A Study Of Emerging Adult College Students Preceding Entry Into The Fouth Industrial Revolution Workforce, Carrington M. Faulk, Michael F. Kosloski, Philip Reed
Marketing Faculty Publications
As emerging adults transition into the Fourth Industrial Revolution (4IR) workforce, it is essential to understand the factors that predict successful occupational identity achievement, as automation will impact human occupational identity crises. This descriptive cross-sectional study employed a correlational design to determine the degree to which ideational behavior predicts occupational identity achievement prior to entry into the 4IR workforce. Using a sample of 166 emerging adult college students from a Mid-Atlantic, diverse, four-year university, data were collected using Runco's Ideational Behavior Scale (RIBS) and Melgosa's Occupational Identity Achievement subscale (OIA). Results showed that ideational behavior significantly predicted occupational identity achievement …
Artificial Intelligence And Consumer Well-Being: A Cross Domain Systemic Review, Setar Lytle, Mahesh Gopinath
Artificial Intelligence And Consumer Well-Being: A Cross Domain Systemic Review, Setar Lytle, Mahesh Gopinath
Marketing Faculty Publications
Artificial intelligence (AI) is increasingly embedded in everyday consumption, yet evidence on its longer-term implications for consumer eudaimonic well-being remains dispersed across disciplines and application contexts. This review integrates that literature to clarify the domains, theoretical explanations, and conditions through which AI shapes consumer well-being. Following PRISMA and SPAR-4-SLR procedures, we reviewed research published from January 2010 to January 2026. From 6058 records, 480 studies across psychology, business, and human-technology interaction met the inclusion criteria. The evidence is organised through psychological, social, and technological perspectives and identifies six interconnected domains: mental health, cognitive development, physical health, personal growth, autonomy and …
Recent Technological Advances In Monitoring And Neuromodulation Of Non-Malignant And Neurogenic Bladder Conditions, Chang Liu, Yifan Wang, Mario Romero-Ortega, Argyrios Stampas, Yingchun Zhang, Philippe Zimmern, Zhengwei Li
Recent Technological Advances In Monitoring And Neuromodulation Of Non-Malignant And Neurogenic Bladder Conditions, Chang Liu, Yifan Wang, Mario Romero-Ortega, Argyrios Stampas, Yingchun Zhang, Philippe Zimmern, Zhengwei Li
Faculty, Staff and Student Publications
Neurogenic bladder and lower urinary tract (LUT) dysfunctions encompass a wide variety of urinary disorders resulting from nervous system impairments. Unfortunately, conventional treatments are still limited and can have significant complication rates, especially when stent implantations or other surgical procedures are involved. Therefore, there is a critical need to develop novel therapeutic strategies and pharmacological approaches to address these challenging urological conditions. Recent technological advances offer promising solutions to overcome some of these challenges faced by patients with bladder and LUT dysfunction. This review summarizes recent progress in advanced urotechnologies, focusing on bladder monitoring and neuromodulation approaches, advanced medical instruments …
Congenital Syphilis: From Near-Elimination To Crisis, Chad J Abresch, Irene A Stafford, Regan M Johnson, Kayode Olabanji, Ashleigh M Sutphen, Helen E Cejtin, Ashley Hoover
Congenital Syphilis: From Near-Elimination To Crisis, Chad J Abresch, Irene A Stafford, Regan M Johnson, Kayode Olabanji, Ashleigh M Sutphen, Helen E Cejtin, Ashley Hoover
Faculty, Staff and Student Publications
This analytic essay examines the transformation of congenital syphilis (CS) in the United States from near-elimination to crisis. Drawing from the January 2025 Congenital Syphilis Summit in Atlanta, Georgia-convening public health leaders, Tribal health departments, the National Coalition of STD Directors, and Centers for Disease Control and Prevention experts-we contrast prevention systems during near-elimination (1998-2005) with the current crisis (2018-2025). Evidence revealed how dismantling public health infrastructure produced dramatically different outcomes, with CS cases increasing 937% over the past decade and racial/ethnic disparities worsening. American Indian/Alaska Native communities face rates up to 100 times higher than White populations in some …
Biomechanical And Computational Modeling Of Metastatic Acetabular Defects: Influence Of Tumor Location On The Risk Of Fracture, Jacob Doddridge, Hongjia He, Rui Yang, E U Conrad, Nicholas Dunbar
Biomechanical And Computational Modeling Of Metastatic Acetabular Defects: Influence Of Tumor Location On The Risk Of Fracture, Jacob Doddridge, Hongjia He, Rui Yang, E U Conrad, Nicholas Dunbar
Faculty, Staff and Student Publications
Background: Metastatic bone disease can lead to pathologic fracture of the pelvis which affects quality of life. There are limited validated approaches for biomechanical modeling, classification, or surgical treatment of metastatic acetabular defects.
Methods: An artificial hemipelvis bone was used to calibrate a computed tomography-based computational model of the pelvis with varying locations and sizes of acetabular defects. Metastatic defects affecting the anterior and posterior column, medial wall, and their combinations were created. Mechanical testing was performed on each defect, and images of the lateral surface of the acetabulum were analyzed by digital image correlation to measure peak surface strains. …