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Institution

University of British Columbia

EducationVancouver, British Columbia, Canada
About: University of British Columbia is a education organization based out in Vancouver, British Columbia, Canada. It is known for research contribution in the topics: Population & Poison control. The organization has 89939 authors who have published 209679 publications receiving 9226862 citations. The organization is also known as: UBC & The University of British Columbia.


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Journal ArticleDOI
Ali H. Mokdad1, Katherine Ballestros1, Michelle Echko1, Scott D Glenn1, Helen E Olsen1, Erin C Mullany1, Alexander Lee1, Abdur Rahman Khan2, Alireza Ahmadi3, Alireza Ahmadi4, Alize J. Ferrari5, Alize J. Ferrari1, Alize J. Ferrari6, Amir Kasaeian7, Andrea Werdecker, Austin Carter1, Ben Zipkin1, Benn Sartorius8, Benn Sartorius9, Berrin Serdar10, Bryan L. Sykes11, Christopher Troeger1, Christina Fitzmaurice12, Christina Fitzmaurice1, Colin D. Rehm13, Damian Santomauro1, Damian Santomauro5, Damian Santomauro6, Daniel Kim14, Danny V. Colombara1, David C. Schwebel15, Derrick Tsoi1, Dhaval Kolte16, Elaine O. Nsoesie1, Emma Nichols1, Eyal Oren17, Fiona J Charlson1, Fiona J Charlson5, Fiona J Charlson6, George C Patton18, Gregory A. Roth1, H. Dean Hosgood19, Harvey Whiteford5, Harvey Whiteford6, Harvey Whiteford1, Hmwe H Kyu1, Holly E. Erskine5, Holly E. Erskine6, Holly E. Erskine1, Hsiang Huang20, Ira Martopullo1, Jasvinder A. Singh15, Jean B. Nachega21, Jean B. Nachega22, Jean B. Nachega23, Juan Sanabria24, Juan Sanabria25, Kaja Abbas26, Kanyin Ong1, Karen M. Tabb27, Kristopher J. Krohn1, Leslie Cornaby1, Louisa Degenhardt1, Louisa Degenhardt28, Mark Moses1, Maryam S. Farvid29, Max Griswold1, Michael H. Criqui30, Michelle L. Bell31, Minh Nguyen1, Mitch T Wallin32, Mitch T Wallin33, Mojde Mirarefin1, Mostafa Qorbani, Mustafa Z. Younis34, Nancy Fullman1, Patrick Liu1, Paul S Briant1, Philimon Gona35, Rasmus Havmoller3, Ricky Leung36, Ruth W Kimokoti37, Shahrzad Bazargan-Hejazi38, Shahrzad Bazargan-Hejazi39, Simon I. Hay40, Simon I. Hay1, Simon Yadgir1, Stan Biryukov1, Stein Emil Vollset41, Stein Emil Vollset1, Tahiya Alam1, Tahvi Frank1, Talha Farid2, Ted R. Miller42, Ted R. Miller43, Theo Vos1, Till Bärnighausen29, Till Bärnighausen44, Tsegaye Telwelde Gebrehiwot45, Yuichiro Yano46, Ziyad Al-Aly47, Alem Mehari48, Alexis J. Handal49, Amit Kandel50, Ben Anderson51, Brian J. Biroscak31, Brian J. Biroscak52, Dariush Mozaffarian53, E. Ray Dorsey54, Eric L. Ding29, Eun-Kee Park55, Gregory R. Wagner29, Guoqing Hu56, Honglei Chen57, Jacob E. Sunshine51, Jagdish Khubchandani58, Janet L Leasher59, Janni Leung51, Janni Leung6, Joshua A. Salomon29, Jürgen Unützer51, Leah E. Cahill60, Leah E. Cahill29, Leslie T. Cooper61, Masako Horino, Michael Brauer62, Michael Brauer1, Nicholas J K Breitborde63, Peter J. Hotez64, Roman Topor-Madry65, Roman Topor-Madry66, Samir Soneji67, Saverio Stranges68, Spencer L. James1, Stephen M. Amrock69, Sudha Jayaraman70, Tejas V. Patel, Tomi Akinyemiju15, Vegard Skirbekk41, Vegard Skirbekk71, Yohannes Kinfu72, Zulfiqar A Bhutta73, Jost B. Jonas44, Christopher J L Murray1 
Institute for Health Metrics and Evaluation1, University of Louisville2, Karolinska Institutet3, Kermanshah University of Medical Sciences4, Centre for Mental Health5, University of Queensland6, Tehran University of Medical Sciences7, University of KwaZulu-Natal8, South African Medical Research Council9, University of Colorado Boulder10, University of California, Irvine11, Fred Hutchinson Cancer Research Center12, Montefiore Medical Center13, Northeastern University14, University of Alabama at Birmingham15, Brown University16, San Diego State University17, University of Melbourne18, Albert Einstein College of Medicine19, Cambridge Health Alliance20, University of Cape Town21, Johns Hopkins University22, University of Pittsburgh23, Marshall University24, Case Western Reserve University25, University of London26, University of Illinois at Urbana–Champaign27, National Drug and Alcohol Research Centre28, Harvard University29, University of California, San Diego30, Yale University31, Veterans Health Administration32, Georgetown University33, Jackson State University34, University of Massachusetts Boston35, State University of New York System36, Simmons College37, Charles R. Drew University of Medicine and Science38, University of California, Los Angeles39, University of Oxford40, Norwegian Institute of Public Health41, Pacific Institute42, Curtin University43, Heidelberg University44, Jimma University45, Northwestern University46, Washington University in St. Louis47, Howard University48, University of New Mexico49, University at Buffalo50, University of Washington51, University of South Florida52, Tufts University53, University of Rochester Medical Center54, Kosin University55, Central South University56, Michigan State University57, Ball State University58, Nova Southeastern University59, Dalhousie University60, Mayo Clinic61, University of British Columbia62, Ohio State University63, Baylor University64, Jagiellonian University Medical College65, Wrocław Medical University66, Dartmouth College67, University of Western Ontario68, Oregon Health & Science University69, Virginia Commonwealth University70, Columbia University71, University of Canberra72, Aga Khan University73
10 Apr 2018-JAMA
TL;DR: There are wide differences in the burden of disease at the state level and specific diseases and risk factors, such as drug use disorders, high BMI, poor diet, high fasting plasma glucose level, and alcohol use disorders are increasing and warrant increased attention.
Abstract: Introduction Several studies have measured health outcomes in the United States, but none have provided a comprehensive assessment of patterns of health by state. Objective To use the results of the Global Burden of Disease Study (GBD) to report trends in the burden of diseases, injuries, and risk factors at the state level from 1990 to 2016. Design and Setting A systematic analysis of published studies and available data sources estimates the burden of disease by age, sex, geography, and year. Main Outcomes and Measures Prevalence, incidence, mortality, life expectancy, healthy life expectancy (HALE), years of life lost (YLLs) due to premature mortality, years lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 333 causes and 84 risk factors with 95% uncertainty intervals (UIs) were computed. Results Between 1990 and 2016, overall death rates in the United States declined from 745.2 (95% UI, 740.6 to 749.8) per 100 000 persons to 578.0 (95% UI, 569.4 to 587.1) per 100 000 persons. The probability of death among adults aged 20 to 55 years declined in 31 states and Washington, DC from 1990 to 2016. In 2016, Hawaii had the highest life expectancy at birth (81.3 years) and Mississippi had the lowest (74.7 years), a 6.6-year difference. Minnesota had the highest HALE at birth (70.3 years), and West Virginia had the lowest (63.8 years), a 6.5-year difference. The leading causes of DALYs in the United States for 1990 and 2016 were ischemic heart disease and lung cancer, while the third leading cause in 1990 was low back pain, and the third leading cause in 2016 was chronic obstructive pulmonary disease. Opioid use disorders moved from the 11th leading cause of DALYs in 1990 to the 7th leading cause in 2016, representing a 74.5% (95% UI, 42.8% to 93.9%) change. In 2016, each of the following 6 risks individually accounted for more than 5% of risk-attributable DALYs: tobacco consumption, high body mass index (BMI), poor diet, alcohol and drug use, high fasting plasma glucose, and high blood pressure. Across all US states, the top risk factors in terms of attributable DALYs were due to 1 of the 3 following causes: tobacco consumption (32 states), high BMI (10 states), or alcohol and drug use (8 states). Conclusions and Relevance There are wide differences in the burden of disease at the state level. Specific diseases and risk factors, such as drug use disorders, high BMI, poor diet, high fasting plasma glucose level, and alcohol use disorders are increasing and warrant increased attention. These data can be used to inform national health priorities for research, clinical care, and policy.

962 citations

Journal ArticleDOI
TL;DR: In this article, the notion of (perfect) obstruction theory for algebraic stacks was introduced, and it was shown how to construct, given a perfect obstruction theory, a pure-dimensional virtual fundamental class in the Chow group of ��$X$¯¯¯¯.
Abstract: Let $X$ be an algebraic stack in the sense of Deligne-Mumford. We construct a purely $0$ -dimensional algebraic stack over $X$ (in the sense of Artin), the intrinsic normal cone ${\frak C}_X$ . The notion of (perfect) obstruction theory for $X$ is introduced, and it is shown how to construct, given a perfect obstruction theory for $X$ , a pure-dimensional virtual fundamental class in the Chow group of $X$ . We then prove some properties of such classes, both in the absolute and in the relative context. Via a deformation theory interpretation of obstruction theories we prove that several kinds of moduli spaces carry a natural obstruction theory, and sometimes a perfect one.

962 citations

Journal ArticleDOI
TL;DR: The purpose of this paper is to assess the impact of participatory processes on sustainability indicator identification and environmental management in three disparate case studies to draw three primary conclusions.

961 citations

Journal ArticleDOI
11 Nov 2016
TL;DR: This work proposes a novel active learning method capable of enriching massive geometric datasets with accurate semantic region annotations, and demonstrates that incorporating verification of all produced labelings within this unified objective improves both accuracy and efficiency of the active learning procedure.
Abstract: Large repositories of 3D shapes provide valuable input for data-driven analysis and modeling tools. They are especially powerful once annotated with semantic information such as salient regions and functional parts. We propose a novel active learning method capable of enriching massive geometric datasets with accurate semantic region annotations. Given a shape collection and a user-specified region label our goal is to correctly demarcate the corresponding regions with minimal manual work. Our active framework achieves this goal by cycling between manually annotating the regions, automatically propagating these annotations across the rest of the shapes, manually verifying both human and automatic annotations, and learning from the verification results to improve the automatic propagation algorithm. We use a unified utility function that explicitly models the time cost of human input across all steps of our method. This allows us to jointly optimize for the set of models to annotate and for the set of models to verify based on the predicted impact of these actions on the human efficiency. We demonstrate that incorporating verification of all produced labelings within this unified objective improves both accuracy and efficiency of the active learning procedure. We automatically propagate human labels across a dynamic shape network using a conditional random field (CRF) framework, taking advantage of global shape-to-shape similarities, local feature similarities, and point-to-point correspondences. By combining these diverse cues we achieve higher accuracy than existing alternatives. We validate our framework on existing benchmarks demonstrating it to be significantly more efficient at using human input compared to previous techniques. We further validate its efficiency and robustness by annotating a massive shape dataset, labeling over 93,000 shape parts, across multiple model classes, and providing a labeled part collection more than one order of magnitude larger than existing ones.

959 citations

Journal ArticleDOI
TL;DR: In this article, the second-order currents and changes in mean surface level which are caused by gravity waves of non-uniform amplitude are investigated, and the effects are interpreted in terms of the radiation stresses in the waves.
Abstract: This paper studies the second-order currents and changes in mean surface level which are caused by gravity waves of non-uniform amplitude. The effects are interpreted in terms of the radiation stresses in the waves.The first example is of wave groups propagated in water of uniform mean depth. The problem is solved first by a perturbation analysis. In two special cases the second-order currents are found to be proportional simply to the square of the local wave amplitude: (a) when the lengths of the groups are large compared to the mean depth, and (b) when the groups are all of equal length. Then the surface is found to be depressed under a high group of waves and the mass-transport is relatively negative there. In case (a) the result can be simply related to the radiation stresses, which tend to expel fluid from beneath the higher waves.The second example considered is the propagation of waves of steady amplitude in water of gradually varying depth. Assuming no loss of energy by friction or reflexion, the wave amplitude must vary horizontally, to maintain the flux of energy constant; it is shown that this produces a negative tilt in the mean surface level as the depth diminishes. However, if the wave height is limited by breaking, the tilt is positive. The results are in agreement with some observations by Fairchild.Lastly, the propagation of groups of waves from deep to shallow water is studied. As the mean depth decreases, so the response of the fluid to the radiation stresses tends to increase. The long waves thus generated may be reflected as free waves, and so account for the 'surf beats’ observed by Munk and Tucker.Generalle speaking, the changes in mean sea level produced by ocean waves are comparable with those due to horizontal wind stress. It may be necessary to allow for the wave stresses in calculating wind stress coefficients.

959 citations


Authors

Showing all 90682 results

NameH-indexPapersCitations
Gordon H. Guyatt2311620228631
John C. Morris1831441168413
Douglas Scott1781111185229
John R. Yates1771036129029
Deborah J. Cook173907148928
Richard A. Gibbs172889249708
Evan E. Eichler170567150409
James F. Sallis169825144836
Michael Snyder169840130225
Jiawei Han1681233143427
Michael Kramer1671713127224
Bruce L. Miller1631153115975
Peter A. R. Ade1621387138051
Marc W. Kirschner162457102145
Kaj Blennow1601845116237
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023307
20221,209
202113,228
202012,052
201910,934