Digital Commons Network^™

Quantitative Bone Imaging Biomarkers And Joint Space Analysis Of The Articular Fossa In Temporomandibular Joint Osteoarthritis Using Artificial Intelligence Models, Tamara Mackie, Najla Al Turkestani, Jonas Bianchi, Tengfei Li, Antonio Ruellas, Marcela Gurgel, Erika Benavides, Fabiana Soki, Lucia Cevidanes

Pacific Faculty Work

Temporomandibular joint osteoarthritis (TMJ OA) is a disease with a multifactorial etiology, involving many pathophysiological processes, and requiring comprehensive assessments to characterize progressive cartilage degradation, subchondral bone remodeling, and chronic pain. This study aimed to integrate quantitative biomarkers of bone texture and morphometry of the articular fossa and joint space to advance the role of imaging phenotypes for diagnosis of Temporomandibular Joint Osteoarthritis (TMJ OA) in early to moderate stages by improving the performance of machine-learning algorithms to detect TMJ OA status. Ninety-two patients were prospectively enrolled (184 h-CBCT scans of the right and left mandibular condyles), divided into two …

Chimes: September 19, 2022, Calvin University

Chimes

Calvin to invest in goals of Strategic Plan for Athletics, including possible football team by Lauren Nyong

Between grief and hope: Social work at Calvin a program in recovery by Katie Rosendale

With no COVID restrictions, campus navigates new normal by Grace Buller

Remote job opportunities come with benefits and drawbacks for students and alumni by Ezra Cracker

Rhetoric Center reaches across campus with resources for all disciplines by Emily Thomas

Engineering professor aims to start conversations about gender diversity in make-dominated field with new book by David Ogboro

Behind the screens: a graduate student's journey from band director to …

Grey V. Lic Dev. Owner, L.P.

All Decisions

No abstract provided.

Kennedy V. Turin Hous. Dev. Fund Co., Inc.

All Decisions

No abstract provided.

Rosenberg V. Shermiran Co., De Llc

All Decisions

No abstract provided.

Imagining The United States: Reflections From Constitutional Law, H. Jefferson Powell

Law and Contemporary Problems

No abstract provided.

Estoppel By Nonviolence, Darrell A.H. Miller

Law and Contemporary Problems

No abstract provided.

The Two "Two Americas" Of Trump And Romney, Lawrence Zelenak

Law and Contemporary Problems

No abstract provided.

Living In The Shadow Of American Racism, James E. Coleman Jr.

Law and Contemporary Problems

No abstract provided.

Physics Fellow, Rebecca Irelan

UNH Today Archive

No abstract provided.

Advancing Disability Services, Unh Communications And Public Affairs

UNH Today Archive

No abstract provided.

Research To Accelerate Practice Change In Geriatric Emergency Medicine, Susan Hastings

Journal of Geriatric Emergency Medicine

This is the Keynote Address for the First American Geriatrics Society Geriatric Emergency Department Special Interest Group

A Multi-Level Analysis Of The Effects Of Statistics Anxiety/Attitudes On Trajectories Of Exam Scores, Kelly Rhea Macarthur, Jonathan Santo

Psychology Faculty Publications

This study explores three understudied facets—quadratic effects, change over time, and gender as a moderator—of the otherwise well-documented relationships between statistics anxiety and academic performance. Using pre- and post- course survey data among a sample of 111 undergraduate students in Social Statistics courses at a U.S. Midwestern university, we employ hierarchical linear modeling (HLM) to test for relationships between change in the six dimensions of the Statistics Anxiety Rating Scale (STARS) and exam grades over the course of the semester. We find that exam grades decreased over time, but at different rates across gender and the six STARS dimensions. We …

Updates To The Inacsl Standards Of Best Practice: The Debriefing Process, Sharon Decker, Guillaume Alinier, Scott Crawford, Randy Gordon, Deborah Jenkins, Cheryl Wilson

General Submissions: Presentations (Oral and Poster)

Debriefing is a key component of all simulation-based educational (SBE) activities and is an activity for which myriad approaches and models have been developed and implemented (Oriot & Alinier, 2018). To improve SBE practice in general, the International Nursing Association for Clinical Simulation and Learning (INACSL) provides the Healthcare Simulation Standards of Best Practice, an evidence-based framework to guide simulation design, implementation, debriefing, evaluation, and research (INACSL Standards Committee et al., 2021). Originally published in 2011, periodic revisions to these standards are necessary as the use of simulation in healthcare and education expands and the debriefing process evolves. This presentation …

Design Of Composite Double-Slab Radar Absorbing Structures Using Forward, Inverse, And Tandem Neural Networks, Devin Nielsen, Juhyeong Lee, Young-Woo Nam

Mechanical and Aerospace Engineering Faculty Publications

The survivability and mission of a military aircraft is often designed with minimum radar cross section (RCS) to ensure its long-term operation and maintainability. To reduce aircraft’s RCS, a specially formulated Radar Absorbing Structures (RAS) is primarily applied to its external skins. A Ni-coated glass/epoxy composite is a recent RAS material system designed for decreasing the RCS for the X-band (8.2 – 12.4 GHz), while maintaining efficient and reliable structural performance to function as the skin of an aircraft. Experimentally measured and computationally predicted radar responses (i.e., return loss responses in specific frequency ranges) of multi-layered RASs are expensive and …

Hyper-Velocity Impact Performance Of Foldcore Sandwich Composites, Nathan Hoch, Chase Mortensen, Juhyeong Lee, Khari Harrison, Kalyan Raj Kota, Thomas Lacy

Mechanical and Aerospace Engineering Faculty Publications

A foldcore is a novel core made from a flat sheet of any material folded into a desired pattern. A foldcore sandwich composite (FSC) provides highly tailorable structural performance over conventional sandwich composites made with honeycomb or synthetic polymer foam cores. Foldcore design can be optimized to accommodate complex shapes and unit cell geometries suitable for protective shielding structures

This work aims to characterize hypervelocity impact (> 2000 m/s, HVI) response and corresponding damage morphologies of carbon fiber reinforced polymer (CFRP) FSCs. A series of normal (0° impact angle) and oblique (45° impact angle) HVI (~3km/s nominal projectile velocity) impact …

Predicting Stochastic Lightning Mechanical Damage Effects On Carbon Fiber Reinforced Polymer Matrix Composites, Juhyeong Lee, Syed Zulfiqar Hussain Shah

Mechanical and Aerospace Engineering Faculty Publications

Three stochastic air blast models are developed with spatially varying elastic properties and failure strengths for predicting lightning mechanical damage to AS4/3506 carbon/epoxy composites subjected to < 100 kA peak currents: (1) the conventional weapon effects program (CWP) model, (2) the coupled eulerianlagrangian (CEL) model, and (3) the smoothed-particle hydrodynamics (SPH) model. This work is an extension of our previous studies [1–4] that used deterministic air blast models for lightning mechanical damage prediction. Stochastic variations in composite material properties were generated using the Box-Muller transformation algorithm with the mean (i.e., room temperature experimental data) and their standard deviations (i.e., 10% of the mean herein as reference). The predicted dynamic responses and corresponding damage initiation prediction for composites under equivalent air blast loading were comparable for the deterministic and stochastic models. Overall, the domains with displacement, von-Mises stress, and damage initiation contours predicted in the stochastic models were somewhat sporadic and asymmetric along the fiber’s local orientation and varied intermittently. This suggests the significance of local property variations in lightning mechanical damage prediction. Thus, stochastic air blast models may provide a more accurate lightning mechanical damage approximation than traditional (deterministic) air blast models. All stochastic models proposed in this work demonstrated satisfactory accuracy compared to the baseline models, but required substantial computational time due to the random material model generation/assignment process, which needs to be optimized in future work.

Human Library Event Brings Iwu Community Closer, Maria Harmon

News and Events (Discontinued Series)

No abstract provided.

Ballesteros-Gonzalez '25 Joins Un Panel To Advocate For More Multilingual Conversations, Julia Perez

News and Events (Discontinued Series)

No abstract provided.

Technical Debt Is An Ethical Issue, Paul John Gibson, Yannis Stavrakakis, Massamaesso Narouwa, Damian Gordon, Dympna O'Sullivan, Jonathan Turner, Michael Collins

Conference Papers

We introduce the problem of technical debt, with particular focus on critical infrastructure, and put forward our view that this is a digital ethics issue. We propose that the software engineering process must adapt its current notion of technical debt – focusing on technical costs – to include the potential cost to society if the technical debt is not addressed, and the cost of analysing, modelling and understanding this ethical debt. Finally, we provide an overview of the development of educational material – based on a collection of technical debt case studies - in order to teach about technical debt …

A Third-Year Medical School Ophthalmology Curriculum For A Longitudinal Integrated Clerkship Model, A. Itzam Marin, Helio Neves Da Silva, Hongan Chen, Nihaal Mehta, Linh K. Nguyen, Jeffrey R. Soohoo, Jennifer E. Adams, Jasleen K. Singh

Journal of Academic Ophthalmology

Abstract

Background Longitudinal Integrated Clerkships (LICs) are innovative educational models that allow medical student continuity with patients, preceptors, colleagues, and health care systems. Given their benefits, the number of LICs continues to increase. We share a pilot model for an ophthalmology LIC curriculum at the University of Colorado School of Medicine targeted for students to see patients through transitions of care.

Methods A needs assessment was performed including literature search, interviews with expert faculty, and a precurricular student questionnaire. Based on our findings, we developed a pilot two-part curriculum consisting of an introductory lecture and a half-day clinical experience designed …

Impact Of Social Media On Applicant Perspectives Of Ophthalmology Residency Programs, Sanket S. Shah, Sravya Veligandla, Christopher Compton, Hasenin Al-Khersan, Jayanth Sridhar

Journal of Academic Ophthalmology

Abstract

Purpose This article evaluates the relevance of social media to ophthalmology residency applicants in the setting of virtual interviews, the types of information sought by applicants, and the impact of rebranding of an institutional and departmental social media account.

Design Cross-sectional survey.

Participants Ophthalmology residency applicants from the 2020 to 2021 cycle.

Methods A voluntary survey was emailed to 481 applicants to the University of Louisville Department of Ophthalmology residency during the 2020 to 2021 application cycle to gauge the impact of social media on their perspectives of residency programs, especially with regards to a new departmental social media …

Intouch September 19, 2022, New York Medical College

InTouch

• NYMC and TU Host Successful Innovation and Entrepreneurship Conference
• School of Medicine Launches New Medical Education Curriculum
• The Inaugural Dr. Melvin H. Amler Prize for Innovation to be Announced
• Annual Club Fair Boasts Record Number of Student Organizations
• NYMC Goes Gold for Childhood Cancer
• Rajkumar Pammal, SOM Class of 2023, Hopes to Be an Agent of Change in Emergency Medicine

Mcsa Forum Minutes 09/19/2022, Morris Campus Student Association

Morris Campus Student Association

No abstract provided.

Fsec Meeting Minutes September 19, 2022, University Of Rhode Island Faculty Senate

Faculty Senate Executive Committee Minutes

No abstract provided.

Titans Invited To Connect During Homecoming And Family Weekend, Julia Perez

News and Events (Discontinued Series)

No abstract provided.

Oral Nanomedicines For Sirna Delivery To Treat Inflammatory Bowel Disease, Ah Hyun Choi, Jung Seo Kim, Su Jin Kim, Hyo Jin Kim, Cherin Lee, Yejin Kim, Joohyeon Kim, Jonghee Choi, Byungchae Jung, Taeho Kim, Hyeontaek Nam, Hyungjun Kim, Yonghyun Lee

Faculty, Staff and Student Publications

RNA interference (RNAi) therapies have significant potential for the treatment of inflammatory bowel diseases (IBD). Although administering small interfering RNA (siRNA) via an oral route is desirable, various hurdles including physicochemical, mucus, and cellular uptake barriers of the gastrointestinal tract (GIT) impede both the delivery of siRNA to the target site and the action of siRNA drugs at the target site. In this review, we first discuss various physicochemical and biological barriers in the GI tract. Furthermore, we present recent strategies and the progress of oral siRNA delivery strategies to treat IBD. Finally, we consider the challenges faced in the …

Hispanic Heritage Festival

Bailey School of Music Concert Programs

Join us for a week celebrating the rich cultural traditions of Hispanic heritage.

#Golead Newsletter, Georgia Southern University

#GoLead Newsletter (2016-2023)

• Serve912
• Alternative Breaks
• On-Campus Service
• Off-Campus Service
• Virtual Service

Data Augmentation For Improving Emotion Recognition In Software Engineering Communication, Mia Mohammad Imran, Yashasvi Jain, Preetha Chatterjee, Kostadin Damevski

Computer Science Faculty Research & Creative Works

Emotions (e.g., Joy, Anger) are prevalent in daily software engineering (SE) activities, and are known to be significant indicators of work productivity (e.g., bug fixing efficiency). Recent studies have shown that directly applying general purpose emotion classification tools to SE corpora is not effective. Even within the SE domain, tool performance degrades significantly when trained on one communication channel and evaluated on another (e.g., Stack Overflow vs. GitHub comments). Retraining a tool with channel-specific data takes significant effort since manually annotating a large dataset of ground truth data is expensive. In this paper, we address this data scarcity problem by …