399 research outputs found
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The Modular μSiM: m-µSiM_All Plots.pzfx
No full textThe modular µSiM tissue chip platform was developed for studies on vascular barriers. Data in prism file is for publication: The Modular μSiM: A Mass Produced, Rapidly Assembled,
and Reconfigurable Platform for the Study of Barrier Tissue
Models In Vitro. Assays include in situ and sampling-based small molecule permeability using hCMEC/D3, sampling-based small molecule permeability using EECM-BMEC-like cells, and ICAM-1 fluorescence intensity using EECM-BMEC-like cells.</p
Mastering Your NIH Data Management and Sharing Plan, September 12, 2024
No full textThis webinar focuses on educating potential NIH grantees on how successfully and efficiently produce a data management and sharing plan.Description from author: Are you ready to meet the NIH's standards for data management and sharing? Our workshop will give you an overview of the NIH Policy for Data Management and Sharing and guide you through the steps to effectively create a Data Management and Sharing Plan (DMSP). From data management strategies to selecting the right repository, our experts will provide the tools and guidance you need to succeed. Don't miss this opportunity to ensure your research meets the NIH's high standards for data sharing.This webinar was original presented via Zoom on September 12th, 2024.</p
Exploring Harsh Parenting and Accuracy of Social Judgement Through the Hidden Talents Framework
No full textThis 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
Working Papers in the Language Sciences (WPLS), Volume 10, Number 1, Spring 2024
No full textWorking 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: Sreyoshi Basu, Andrew Bray, Becky Everson, and J.C. WamsleyScrambling in Bengali: An A-/A’-Movement Distinctionby Sreyoshi BasuObject Markers are Reflexes of Movement in Shekgalagadiby Becky EversonAgreement Resolution in Conjoined Subjects in Setswanaby Constanza Aceves-Rodriguez</p
Data Skills 2025: Cleaning Messy Data With OpenRefine
No full textReal 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
Retrospective Dry Needling data
No full textAbstract: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
Love Data 2025: Ethics and Governance Perspectives from Data Stewards
No full textLove Data: Ethics and Governance Perspectives from Data StewardsThis is a panel discussion of using data ethically and what responsible data management means in different fields. Panelists will discuss data ethics and how they use data in their research or practice to make and guide decisions, design research models, or explore future opportunities. Panelists represent a wide array of specialties including bioethics, software engineering, analyzing enterprise data, and other aspects of managing and interpreting data. Panelists include: Regina Bradley (Together Now) - Director, Compliance and Data GovernanceTravis Desell (RIT) - Department of Software EngineeringJon Herington (UR) - Health Humanities & BioethicsBeth Prince-Bradbury (RIT) – Enterprise Data Governance Lead, Institutional ResearchThis panel discussion was held on Tuesday, February 18, 2025 via Zoom.</p
Getting Everyone on the Same Page: Building a Shared Governance Structure for Digital Projects
No full textCoordinating the work of multiple people on projects can be a thorny problem. This can be especially difficult when folks work in different departments and on different levels of the org chart. The University of Rochester has been working on a governance structure to ensure that the handling of digital projects can be done consistently, that the management of these projects does not depend on a particular person being in a role, and to foster clear communication and greater trust. This presentation will include a discussion of how this iterative process came about, how the framework developed for digital projects management came to be, what artifacts were necessary to create along the way, and how we are going to guarantee that this model will keep us on track and help accomplish our goals well into the future.</p
COMSOL Simulation for Microfluidic Device
No full textA fluid dynamics simulation was performed in COMSOL Multiphysics to model the fluid profile in the flow insert channel of a microfluidic device. Laminar flow physics was applied to the channel geometry, and a no-slip boundary condition was selected at the walls. The inlet flow rate was set to a constant value and was simulated across a range from 10 to 1000 µl/min. A pressure P = 0 was applied to the outlet. A physics-controlled mesh was generated and a stationary parametric sweep study was executed to generate shear stress and velocity profiles.</p
Modeling first-generation students in undergraduate mathematics
No full textThis presentation was delivered by the authors on January 31, 2024 as part of the Fall 2024 Data Set Grant Program. It focuses on first generation students in U.S. undergraduate programs and modeling their test scores against OECD averages.</p