1,730,627 research outputs found
BenderLab-UCSF/BenderLab-UCSF: Motion Tracking IMU Acquisition Code for the Human VOR Project
No full text<p>This release contains Motion Tracking IMU Acquisition Code for the Human VOR Project in the Bender Lab at UCSF.</p>
UCSF LibQUAL Library Survey Results 2015
No full textThese datasets contain the Mission Bay and Parnassus responses to the 2015 UCSF Library Survey. The Library Survey asks about three distinct aspects of the library: Affect of Service (people), Information Control (resources) and Library as Place (spaces). For each question, survey respondents are asked to select the minimum service level they would expect from the library, the level of service they desire, and where they think the library is currently performing. Using these three measures provides valuable information about how the Library's users think it is performing relative to their needs.The survey was produced by LibQUAL+® for UCSF Library. LibQUAL+® is a suite of services that libraries use to solicit, track, understand, and act upon users' opinions of service quality. These services are offered to the library community by the Association of Research Libraries (ARL). For more information, visit http://libqual.orgData Collection:
The Library survey, which was administered from Nov 2-29 2015, was sent to all UCSF students, faculty, and staff via UCSF campus email lists. The complete survey instrument consists of demographic questions, 22 survey questions and a comment box. To reduce the time commitment, UCSF respondents were given a random subset of the 22 survey questions.Analysis:
The quantitative dataset, consisting of survey respondents rating of minimum, desired, and perceived level of service, was cleaned and arranged into a format more suitable for analysis.The qualitative dataset, consisting of the comments portion of the survey, was coded by a group of library staff in order to highlight the different topics discussed. Because a comment often touched on many different topics each comment could receive multiple codes. Once the comments had all been coded the spreadsheet was transformed into a format more suitable for filtering and analysis
UCSF-Nelson-Lab/ICD-Cognitive-Analysis: Inhibition of Indirect Pathway Activity Causes Abnormal Decision-Making In a Mouse Model of Impulse Control Disorder in Parkinson's Disease
No full text<p>The code from: Zhuang et al., 2024 (Preprint Version), Inhibition of Indirect Pathway Activity Causes Abnormal Decision-Making In a Mouse Model of Impulse Control Disorder in Parkinson's Disease.</p>
<p>This repository contains Python code designed to extract task events during both the behavioral shaping and delay discounting phases.</p>
BivonaUCSF/YAP: Version 1.0.0
No full text<p>First release of code for YAP manuscript, relating to figure 6-7, supplemental figure 5, 11, 10</p>
Stanford, UCSF agree to merge
No full textNew corporation UCSF Stanford Health Care, will run four hospital
Early UCSF contributions to the development of multiple-channel cochlear implants
No full textAbstractThe early contributions of the UCSF cochlear implant (CI) research team to the development of multiple-channel cochlear implants from about 1971 through the mid-1980s are briefly summarized. Scientists at UCSF conducted fundamental studies related to device safety, the control of patterned electrical stimulation, and the designs of intracochlear electrode arrays, coders, and implanted multiple-channel electrode drivers. They conducted many original studies documenting parameters of hearing with cochlear implants relevant to next-generation CI designs. On these bases, the UCSF team constructed early models of multichannel devices that were progenitors of the Advanced Bionics’ Clarion CI.This article is part of a Special Issue entitled <Lasker Award>
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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