Figure 3 Dataset - Effect of fluid flow on surface and junctional adhesion molecule expression with or without TNF-α stimulation

The dataset includes raw images of endothelial cells cultured at varying fluidic shear stress levels with or without inflammatory stimulation in a microfluidc tissue chip. The prism file includes the final figure outline as well as the raw ICAM-1 expression values and VE-cadherin junctional gap width values.This dataset supports Fluid flow impacts endothelial-monocyte interactions in a model of vascular inflammatory fibrosis, published in Scientific Reports, Vol. 15, Iss. 3227, January 2025.</p

Retrospective Dry Needling data

Abstract:Background: Recovery from hamstring injuries in athletes can take months and may be complicated by recurrence. Traditional rehabilitation approaches may not fully alleviate hamstring pain and dysfunction. Dry needling, a minimally invasive therapy targeting myofascial trigger points, has shown promise in musculoskeletal injury and recovery, though its specific impact on hamstring injuries remains underexplored.Hypothesis/Purpose: To determine the impact of dry needling on patient-reported outcomes and return to sport in athletes with hamstring injuries.Study Design: Retrospective cohort studyMethods: Participants were patients who underwent dry needling for a hamstring injury in an academic outpatient sports medicine clinic between 2010 to 2023. Potential participants were identified through an electronic health record query for the term “dry needling”. Demographic details, diagnosis, management, and patient-reported outcomes were abstracted. Chi-square and t-tests were performed to assess for differences in clinical outcomes between groups.Results: There were 49 patients in our cohort, with a mean age of 32.5 ± 16.95 years. More than half (51%) identified as women and 81% were white. Most of the cohort identified as a runner (59.2%). The most common chief complaint was unilateral leg pain (87.8%), and 30.6% of injuries were trauma-induced. The most common previously utilized treatment modalities included physical therapy (67.4%), thermal/cryotherapy (57.1%), and over-the-counter oral medication (51.0%). Baseline Visual Analog Scale (VAS) regardless of proximity to treatment was 2.88 ± 2.26. Average VAS after receiving the first dry needling therapy session was 2.40 ± 2.14. Based on patient self-report, dry needling benefited 69.4% and 59.2% resumed activities post-treatment.Conclusions: Dry needling may improve symptoms and facilitate return to sport for athletes with hamstring injuries. Future prospective studies are warranted to validate these findings.</p

Working Papers in the Language Sciences (WPLS), Volume 5, Number 1, Summer 2009

Working Papers in the Language Sciences at the University of Rochester (WPLS: UR) is an online publication of working papers from the University's interdisciplinary language sciences community.Any student or faculty member from the University of Rochester can submit their working papers for consideration.For more information, please visit the Working Papers in the Language Sciences homepage.Table of Contents;Editors: Heike Lehnert-LeHouillier and Alex B. FineOne land, one nation, one language: An analysis of Indonesia's national language policyby Scott PaauwLocality restrictions on exceptions to vowel harmonyby Sara FinleyPhonetic and phonological aspects of liquid devoicing in Thai, Hungarian, and American English stop-liquid sequencesby Heike Lehnert-LeHouillierDirectionality in vowel harmonyby Sara Finley</p

General Chemistry Textbook, volume 2

This is volume 2 of the textbook for General Chemistry at the University of Rochester, CHEM 131 and CHEM 132. The substance of this textbook is excerpted from the book Chemistry: Atoms First 2e which is available in Open Stax. The Open Stax materials have been put together by a consortium of diverse faculty from across the country and made freely available. The UR faculty who teach introductory Chemistry have chosen these materials for this course since they are both high quality and free of charge to students. This current version has been customized for our own curriculum so that the materials are presented in the order deemed best by the UR faculty.Acknowledgements for the conceptual organization go to Profs. Hafensteiner, Knowles, Matson, McCamant, Olsen, Rothberg and Stanford. Assembly of the text was facilitated by the generous support of the University of Rochester River Campus Libraries’ Open Education Grant. We extend our heartfelt thanks for their funding, which enabled the invaluable contributions of a student worker, Carolyn Xu, who played a critical role in this project. Thanks too to the River Campus Libraries’ Open Educational Resources Working Group members Eileen Daly-Boas and Wendy Way. The original Chemistry textbook can be found at https://openstax.org/details/books/chemistry-atoms-first-2e and the preface to that work can be found in Appendix N of this modified text.</p

Exploring Harsh Parenting and Accuracy of Social Judgement Through the Hidden Talents Framework

This poster presents research examining how harsh parenting environments influence children’s social judgment skills, including their ability to interpret social cues and respond behaviorally. While adversity is often viewed as a developmental risk, the "hidden talents" framework suggests some children may adapt in ways that enhance specific cognitive or social skills. Using data from Project STEP and the Peer Information Processing (PIP) task, we tested whether children exposed to harsher parenting show greater accuracy in interpreting social situations. Contrary to our hypothesis, increased harshness was associated with decreased social perception and behavioral responsiveness. These findings highlight the need to consider broader contextual factors, such as unpredictability and power dynamics, in understanding adaptive development.</p

Data Skills: Cleaning Messy Data With OpenRefine

Real world data can be messy, but clean, consistent data is critical for analysis and visualization. Data transformation can be complex and time-consuming, but luckily tools exist to make this process quicker and more reproducible! In this hands-on session led by Data Librarian Heather Owen and Reproducibility Librarian Sarah Siddiqui, you will learn the basics of batch cleaning messy data with OpenRefine, an open-source tool designed to efficiently clean and transform data with no programming required! Please download and install OpenRefine before the workshop.This workshop was presented via Zoom on April 22, 2025 as part of the Spring 2025 Data Skills Workshop Series.</p

Love Data: Git Good with Data - Workshop for Version Control

New to version control? Learn the basics of Git and GitHub for streamlining project collaboration and file management. This beginner-friendly workshop will cover essential Git concepts and commands like commits, branches, and merging, with hands-on exercises to help apply what you learn.Prerequisites: Create a GitHub account (free!). Windows users are encouraged to download Git-Bash in advance from their website https://git-scm.com/downloads.This workshop was recorded via Zoom on Wednesday, February 26, 2025</p

Love Data: In 3D - XR for Data Visualization

Designed for beginners, this Studio X workshop offers an introduction to the exciting possibilities of extended reality (XR) in data representation. Discover how XR tools can transform data into immersive 3D environments, enabling dynamic, interactive exploration, and analysis. Move beyond the limitations of traditional 2D charts and graphs and learn how to create visually compelling experiences that engage users on a deeper level. No prior XR experience required—just bring your curiosity!This webinar was presented on Friday, February 7, 2025 via Zoom.This record contains the presentation slide deck, a short demo of the VR data viz, and complete development package and associated assets.</p

Obesity Prevalence and Neighborhood Environment: A Case Study in Rochester, NY

This project explores the association between neighborhood social and structural factors including crime, the location of fast-food chain restaurants, and greenspace with obesity prevalence in Rochester, New York. Obesity prevalence data is from the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System (BRFSS) from 2022.Submitted as part of final project for EESC 251, Spring 2025.</p

Data Bloom 2025: Visualize with Python

Data Bloom: Visualize with Python will be presented via Zoom on Monday, October 6, 2025 as part of the Fall 2025 Data Bloom workshop series.Workshop Description: Want to use Python to visualize your dataset? In this workshop, we will use libraries such as Matplotlib, Seaborn, and more to create meaningful plots. Learn how to tweak various elements to effectively share your story and make your viz interactive. No prior programming experience is required.For more workshop recordings and materials from Data Bloom, please visit the Data Bloom Collection.</p