Life Narratives and the Ten Aspects of the Big Five

Autor: Edward Chou, Noemi Isabel Hedrick, Aisha Linnea Udochi, Matthew Rogers, Moin Syed, Colin G. DeYoung

Personality psychology seeks to understand not only individuals’ dispositional traits, but also other components of personality, including self-defining life narratives. Past studies linking traits to narrative themes have largely focused on the Bi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::608039c22c095175a20d3cfdc6806789
https://doi.org/10.31234/osf.io/wnqru

Similarity Search for Efficient Active Learning and Search of Rare Concepts

Autor: Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz

Many active learning and search approaches are intractable for large-scale industrial settings with billions of unlabeled examples. Existing approaches search globally for the optimal examples to label, scaling linearly or even quadratically with the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::586c9dddd71ef4dcadc323f0ff5f8835

Remote visual estimation of shoulder range of motion has generally high interobserver reliability but limited accuracy

Autor: Simon Hwang, MD, Javier Ardebol, MD, Kassem Ghayyad, MD, Theresa Pak, DO, Joao A. Bonadiman, MD, Patrick J. Denard, MD, Mariano E. Menendez, MD, Michael H. Amini, MD, Anup Shah, MD, Andy Hartman, MD, Anthony Wei, MD, Brian Lee, MD, Benjamin W. Sears, MD, Christopher Sheu, MD, Christopher R. Lehman, MD, Daniel J. Solomon, MD, David Weinstein, MD, Dawson S. Brown, MD, David Savin, MD, Dave Huberty, MD, Dan Guttmann, MD, Dave Shukla, MD, Edward Choung, MD, Evan Lederman, MD, Elizabeth Watson, MD, Erica M. Burns, MD, Geoffrey Abrams, MD, Gregory D. Gramstad, MD, Samuel Harmsen, MD, Hafiz Kassam, MD, Jae You, MD, Jason Kurian, MD, Jason R. Saleh, MD, Jonah Davies, MD, Joseph W. Galvin, DO, Raffy Mirzayan, MD, Liang Zhou, MD, Matthew Budge, MD, Michael A. Stone, MD, Matthew Nugent, MD, Matthew Pifer, MD, Ron Navarro, MD, Niloofar Dehghan, MD, Nathan Orvets, MD, Reza Omid, MD, Robert Orfaly, MD, Peter Chalmers, MD, Peters T. Otlans, MD, MPH, Rachel M. Frank, MD, Rudolf G. Hoellrich, MD, Scott Humphrey, MD, Scott Crow, MD, Shanjean Lee, MD, Richard Lee Stowell, MD, Ekaterina Urch, MD, William Paterson, MD, John Costouros, MD, Angela Passanise, DO, Anita G. Rao, MD, Armodios Hatzidakis, MD, J Brad Butler, MD, Cay Mierisch, MD, Sara Jurek, MD, Hilary Malcarney, MD, Jason Hsu, MD, Jeffrey Tuman, MD, Jonathan Cheah, MD, John Matthews, MD, Kyong Min, MD, Lauren Hansen, MD, Julia Lee, MD, Raymond Klug, MD, Rafael Buerba, MD, MHS, Timothy Crall, MD, Todd Kim, MD, Yassamin Hazrati, MD

Publikováno v: JSES International, Vol 7, Iss 6, Pp 2528-2533 (2023)

Background: Surgeon visual estimation of shoulder range of motion (ROM) is commonplace in the outpatient office setting and routinely reported in clinical research, but the reliability and accuracy of this practice remain unclear. The purpose of this

Externí odkaz: https://doaj.org/article/005c274dd60c4ce39e22a9a5059bc016

The Acute Effect of High-Intensity Exercise on Executive Function: A Meta-Analysis

Autor: David Moreau, Edward Chou

Publikováno v: Perspectives on psychological science : a journal of the Association for Psychological Science. 14(5)

High-intensity exercise has recently emerged as a potent alternative to aerobic regimens, with ramifications for health and brain function. As part of this trend, single sessions of intense exercise have been proposed as powerful, noninvasive means f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71bd4b13c1211000f066dc71c2a2b521
https://pubmed.ncbi.nlm.nih.gov/31365839

Neural Graph Matching Networks for Fewshot 3D Action Recognition

Autor: De-An Huang, Serena Yeung, Shuran Song, Edward Chou, Li Fei-Fei, Michelle Guo

Publikováno v: Computer Vision – ECCV 2018 ISBN: 9783030012458
ECCV (1)

We propose Neural Graph Matching (NGM) Networks, a novel framework that can learn to recognize a previous unseen 3D action class with only a few examples. We achieve this by leveraging the inherent structure of 3D data through a graphical representat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5a2ea0d6bdbb2c819be528517098cd18
https://doi.org/10.1007/978-3-030-01246-5_40