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Institution

University of Victoria

EducationVictoria, British Columbia, Canada
About: University of Victoria is a education organization based out in Victoria, British Columbia, Canada. It is known for research contribution in the topics: Population & Galaxy. The organization has 14994 authors who have published 41051 publications receiving 1447972 citations. The organization is also known as: Victoria College.


Papers
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Journal ArticleDOI
TL;DR: In this sample of 302 female and male university students, most of whom reported at least one episode of childhood maltreatment, perceived social support and ways of coping with earlier maltreatment appeared essential to an understanding of the relationship between childhood malt treatment and later adjustment.

324 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of the risk of fire or other unpredictable catastrophe on the optimal rotation period of a forest stand are investigated and it is shown that when fires occur in a time independent Poisson process, and cause total destruction, the policy effect of the fire risk is equivalent to adding a premium to the discount rate that would be operative in a risk-free environment.

324 citations

Journal ArticleDOI
03 Oct 2019-Nature
TL;DR: Estimates for when critical environmental streamflow limits will be reached—with potentially devastating economic and environmental effects—are obtained using a global model that links groundwater pumping with the groundwater flow to rivers.
Abstract: Groundwater is the world’s largest freshwater resource and is critically important for irrigation, and hence for global food security1–3. Already, unsustainable groundwater pumping exceeds recharge from precipitation and rivers4, leading to substantial drops in the levels of groundwater and losses of groundwater from its storage, especially in intensively irrigated regions5–7. When groundwater levels drop, discharges from groundwater to streams decline, reverse in direction or even stop completely, thereby decreasing streamflow, with potentially devastating effects on aquatic ecosystems. Here we link declines in the levels of groundwater that result from groundwater pumping to decreases in streamflow globally, and estimate where and when environmentally critical streamflows—which are required to maintain healthy ecosystems—will no longer be sustained. We estimate that, by 2050, environmental flow limits will be reached for approximately 42 to 79 per cent of the watersheds in which there is groundwater pumping worldwide, and that this will generally occur before substantial losses in groundwater storage are experienced. Only a small decline in groundwater level is needed to affect streamflow, making our estimates uncertain for streams near a transition to reversed groundwater discharge. However, for many areas, groundwater pumping rates are high and environmental flow limits are known to be severely exceeded. Compared to surface-water use, the effects of groundwater pumping are markedly delayed. Our results thus reveal the current and future environmental legacy of groundwater use. Estimates for when critical environmental streamflow limits will be reached—with potentially devastating economic and environmental effects—are obtained using a global model that links groundwater pumping with the groundwater flow to rivers.

324 citations

Journal ArticleDOI
Alexander W. Bell1, Eric W. Deutsch2, Catherine E. Au1, Robert E. Kearney1, Ron Beavis3, Salvatore Sechi4, Tommy Nilsson1, John J.M. Bergeron1, Thomas A. Beardslee, Thomas Chappell, Gavin Meredith5, Peter J. Sheffield6, Phillip Gray, Mahbod Hajivandi5, Marshall Pope5, Paul F. Predki5, Majlinda Kullolli7, Marina Hincapie7, William S. Hancock7, Wei Jia, Lina Song, Lei Li, Junying Wei, Bing Yang, Jinglan Wang, Wantao Ying, Yangjun Zhang, Yun Cai, Xiaohong Qian, Fuchu He, Helmut E. Meyer8, Christian Stephan8, Martin Eisenacher8, Katrin Marcus8, Elmar Langenfeld8, Caroline May8, Steve A. Carr9, Rushdy Ahmad9, Wenhong Zhu10, Jeffrey W. Smith10, Samir M. Hanash, Jason J. Struthers11, Hong Wang11, Qing Zhang11, Yanming An12, Radoslav Goldman12, Elisabet Carlsohn13, Sjoerd van der Post13, Kenneth E. Hung14, David A. Sarracino15, Kenneth C. Parker14, Bryan Krastins15, Raju Kucherlapati14, Sylvie Bourassa16, Guy G. Poirier16, Eugene A. Kapp17, Heather Patsiouras17, Robert L. Moritz17, Richard J. Simpson17, Benoit Houle, Sylvie Laboissiere1, Pavel Metalnikov, Vivian Nguyen18, Tony Pawson18, Catherine C. L. Wong19, Daniel Cociorva19, John R. Yates19, Michael J. Ellison20, Ana Lopez-Campistrous20, P. D. Semchuk20, Yueju Wang21, Peipei Ping21, Giuliano Elia22, Michael J. Dunn22, Kieran Wynne22, Angela K. Walker23, John R. Strahler23, Philip C. Andrews23, Brian L. Hood24, William L. Bigbee24, Thomas P. Conrads24, Derek Smith25, Christoph H. Borchers25, Gilles A. Lajoie26, Sean C. Bendall26, Kaye D. Speicher27, David W. Speicher27, Masanori Fujimoto28, Kazuyuki Nakamura28, Young Ki Paik, Sang Yun Cho29, Min-Seok Kwon29, Hyoung Joo Lee29, Seul Ki Jeong29, An Sung Chung29, Christine A. Miller30, Rudolf Grimm30, Katy Williams31, Craig A. Dorschel32, Jayson A. Falkner23, Lennart Martens, Juan Antonio Vizcaíno 
TL;DR: Central analysis determined missed identifications, environmental contamination, database matching and curation of protein identifications as sources of problems in liquid chromatography–mass spectrometry–based proteomics.
Abstract: We performed a test sample study to try to identify errors leading to irreproducibility, including incompleteness of peptide sampling, in liquid chromatography-mass spectrometry-based proteomics. We distributed an equimolar test sample, comprising 20 highly purified recombinant human proteins, to 27 laboratories. Each protein contained one or more unique tryptic peptides of 1,250 Da to test for ion selection and sampling in the mass spectrometer. Of the 27 labs, members of only 7 labs initially reported all 20 proteins correctly, and members of only 1 lab reported all tryptic peptides of 1,250 Da. Centralized analysis of the raw data, however, revealed that all 20 proteins and most of the 1,250 Da peptides had been detected in all 27 labs. Our centralized analysis determined missed identifications (false negatives), environmental contamination, database matching and curation of protein identifications as sources of problems. Improved search engines and databases are needed for mass spectrometry-based proteomics.

324 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used a sample of 43,690 galaxies selected from the Sloan Digital Sky Survey Data Release 4 to study the systematic effects of specific star formation rate (SSFR) and galaxy size (as measured by the half-light radius, -->rh) on the mass-metallicity relation.
Abstract: We use a sample of 43,690 galaxies selected from the Sloan Digital Sky Survey Data Release 4 to study the systematic effects of specific star formation rate (SSFR) and galaxy size (as measured by the half-light radius, -->rh) on the mass-metallicity relation. We find that galaxies with high SSFR or large -->rh for their stellar mass have systematically lower gas-phase metallicities (by up to 0.2 dex) than galaxies with low SSFR or small -->rh. We discuss possible origins for these dependencies, including galactic winds/outflows, abundance gradients, environment, and star formation rate efficiencies.

324 citations


Authors

Showing all 15188 results

NameH-indexPapersCitations
Jie Zhang1784857221720
D. M. Strom1763167194314
Sw. Banerjee1461906124364
Robert J. Glynn14674888387
Manel Esteller14671396429
R. Kowalewski1431815135517
Paul Jackson141137293464
Mingshui Chen1411543125369
Ali Khademhosseini14088776430
Roger Jones138998114061
Tord Ekelof137121291105
L. Köpke13695081787
M. Morii1341664102074
Arnaud Ferrari134139287052
Richard Brenner133110887426
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202379
2022348
20212,108
20202,200
20192,212
20181,926