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Institution

Stockholm University

EducationStockholm, Sweden
About: Stockholm University is a education organization based out in Stockholm, Sweden. It is known for research contribution in the topics: Population & Context (language use). The organization has 21052 authors who have published 62567 publications receiving 2725859 citations. The organization is also known as: University of Stockholm & Stockholms universitet.


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Journal ArticleDOI
TL;DR: A review of the state of the art in understanding the processes involved in the exchange of trace gases and aerosols between the earth's surface and the atmosphere can be found in this article.

627 citations

Journal ArticleDOI
TL;DR: It is found that ecosystem responses can exceed the duration of the climate impacts via lagged effects on the carbon cycle, and forests are expected to exhibit the largest net effect of extremes due to their large carbon pools and fluxes, potentially large indirect and lagged impacts, and long recovery time to regain previous stocks.
Abstract: Extreme droughts, heat waves, frosts, precipitation, wind storms and other climate extremes may impact the structure, composition and functioning of terrestrial ecosystems, and thus carbon cycling and its feedbacks to the climate system. Yet, the interconnected avenues through which climate extremes drive ecological and physiological processes and alter the carbon balance are poorly understood. Here, we review the literature on carbon cycle relevant responses of ecosystems to extreme climatic events. Given that impacts of climate extremes are considered disturbances, we assume the respective general disturbance-induced mechanisms and processes to also operate in an extreme context. The paucity of well-defined studies currently renders a quantitative meta-analysis impossible, but permits us to develop a deductive framework for identifying the main mechanisms (and coupling thereof) through which climate extremes may act on the carbon cycle. We find that ecosystem responses can exceed the duration of the climate impacts via lagged effects on the carbon cycle. The expected regional impacts of future climate extremes will depend on changes in the probability and severity of their occurrence, on the compound effects and timing of different climate extremes, and on the vulnerability of each land-cover type modulated by management. Although processes and sensitivities differ among biomes, based on expert opinion, we expect forests to exhibit the largest net effect of extremes due to their large carbon pools and fluxes, potentially large indirect and lagged impacts, and long recovery time to regain previous stocks. At the global scale, we presume that droughts have the strongest and most widespread effects on terrestrial carbon cycling. Comparing impacts of climate extremes identified via remote sensing vs. ground-based observational case studies reveals that many regions in the (sub-)tropics are understudied. Hence, regional investigations are needed to allow a global upscaling of the impacts of climate extremes on global carbon-climate feedbacks.

625 citations

Journal ArticleDOI
Ulf Hannerz1
TL;DR: In this article, the authors identify differences in practices and assumptions between multisite field work and the classic model of single-site field work as enunciated in the mid-20th century and discuss the construction of multi-site fields, including the selection of sites, the quality of relationships with informants in such fields, the temporal aspects of field work, and the dominant types of data in multisite studies.
Abstract: Multi-site, or multilocal, field work has become increasingly practiced and acknowledged in anthropology since the 1980s Drawing on several field studies by anthropologists at Stockholm University but particularly on the author's study of the work of news media foreign correspondents, this article identifies differences in practices and assumptions between such work and the classic model of single-site field work as enunciated in the mid-20th century It discusses the construction of multi-site fields, including the selection of sites; the quality of relationships with informants in such fields; the temporal aspects of field work and of the sites themselves; the dominant types of data in multi-site studies; and the fit between field work and organizational and career circumstances; as well as particular topics dealt with in the foreign correspondent study

621 citations

Journal ArticleDOI
TL;DR: For exercise of a steady state type with increasing loads the incremental curve for perceived exertion can be predicted from a simple combination of HR and BL, which gives support for the following generalization.
Abstract: To compare some psychophysiological responses to arm exercise with those to leg exercise, an experiment was carried out on electronically braked bicycle ergometers, one being adapted for arm exercise. Eight healthy males took part in the experiment with stepwise increases in exercise intensity every 4 min: 40—70—100—150—200 W in cycling and 20—35—50—70—100 W in arm cranking. Towards the end of each 4 min period, ratings of perceived exertion were obtained on the RPE scale and on a new category ratio (CR) scale: heart rate (HR) and blood lactate accumulation (BL) were also measured.

619 citations

Journal ArticleDOI
Georges Aad1, Brad Abbott2, Jalal Abdallah3, Ovsat Abdinov4, Baptiste Abeloos5, Rosemarie Aben6, Ossama AbouZeid7, N. L. Abraham8, Halina Abramowicz9, Henso Abreu10, Ricardo Abreu11, Yiming Abulaiti12, Bobby Samir Acharya13, Bobby Samir Acharya14, Leszek Adamczyk15, David H. Adams16, Jahred Adelman17, Stefanie Adomeit18, Tim Adye19, A. A. Affolder20, Tatjana Agatonovic-Jovin21, Johannes Agricola22, Juan Antonio Aguilar-Saavedra23, Steven Ahlen24, Faig Ahmadov25, Faig Ahmadov4, Giulio Aielli26, Henrik Akerstedt12, T. P. A. Åkesson27, Andrei Akimov, Gian Luigi Alberghi28, Justin Albert29, S. Albrand30, M. J. Alconada Verzini31, Martin Aleksa32, Igor Aleksandrov25, Calin Alexa, Gideon Alexander9, Theodoros Alexopoulos33, Muhammad Alhroob2, Malik Aliev34, Gianluca Alimonti, John Alison35, Steven Patrick Alkire36, Bmm Allbrooke8, Benjamin William Allen11, Phillip Allport37, Alberto Aloisio38, Alejandro Alonso39, Francisco Alonso31, Cristiano Alpigiani40, Mahmoud Alstaty1, B. Alvarez Gonzalez32, D. Álvarez Piqueras41, Mariagrazia Alviggi38, Brian Thomas Amadio42, K. Amako, Y. Amaral Coutinho43, Christoph Amelung44, D. Amidei45, S. P. Amor Dos Santos46, António Amorim47, Simone Amoroso32, Glenn Amundsen44, Christos Anastopoulos48, Lucian Stefan Ancu49, Nansi Andari17, Timothy Andeen50, Christoph Falk Anders51, G. Anders32, John Kenneth Anders20, Kelby Anderson35, Attilio Andreazza52, Andrei51, Stylianos Angelidakis53, Ivan Angelozzi6, Philipp Anger54, Aaron Angerami36, Francis Anghinolfi32, Alexey Anisenkov55, Nuno Anjos56 
Aix-Marseille University1, University of Oklahoma2, University of Iowa3, Azerbaijan National Academy of Sciences4, Université Paris-Saclay5, University of Amsterdam6, University of California, Santa Cruz7, University of Sussex8, Tel Aviv University9, Technion – Israel Institute of Technology10, University of Oregon11, Stockholm University12, International Centre for Theoretical Physics13, King's College London14, AGH University of Science and Technology15, Brookhaven National Laboratory16, Northern Illinois University17, Ludwig Maximilian University of Munich18, Rutherford Appleton Laboratory19, University of Liverpool20, University of Belgrade21, University of Göttingen22, University of Granada23, Boston University24, Joint Institute for Nuclear Research25, University of Rome Tor Vergata26, Lund University27, University of Bologna28, University of Victoria29, University of Grenoble30, National University of La Plata31, CERN32, National Technical University of Athens33, University of Salento34, University of Chicago35, Columbia University36, University of Birmingham37, University of Naples Federico II38, University of Copenhagen39, University of Washington40, University of Valencia41, Lawrence Berkeley National Laboratory42, Federal University of Rio de Janeiro43, Brandeis University44, University of Michigan45, University of Coimbra46, University of Lisbon47, University of Sheffield48, University of Geneva49, University of Texas at Austin50, Heidelberg University51, University of Milan52, National and Kapodistrian University of Athens53, Dresden University of Technology54, Novosibirsk State University55, IFAE56
TL;DR: In this article, a combined ATLAS and CMS measurements of the Higgs boson production and decay rates, as well as constraints on its couplings to vector bosons and fermions, are presented.
Abstract: Combined ATLAS and CMS measurements of the Higgs boson production and decay rates, as well as constraints on its couplings to vector bosons and fermions, are presented. The combination is based on the analysis of five production processes, namely gluon fusion, vector boson fusion, and associated production with a $W$ or a $Z$ boson or a pair of top quarks, and of the six decay modes $H \to ZZ, WW$, $\gamma\gamma, \tau\tau, bb$, and $\mu\mu$. All results are reported assuming a value of 125.09 GeV for the Higgs boson mass, the result of the combined measurement by the ATLAS and CMS experiments. The analysis uses the CERN LHC proton--proton collision data recorded by the ATLAS and CMS experiments in 2011 and 2012, corresponding to integrated luminosities per experiment of approximately 5 fb$^{-1}$ at $\sqrt{s}=7$ TeV and 20 fb$^{-1}$ at $\sqrt{s} = 8$ TeV. The Higgs boson production and decay rates measured by the two experiments are combined within the context of three generic parameterisations: two based on cross sections and branching fractions, and one on ratios of coupling modifiers. Several interpretations of the measurements with more model-dependent parameterisations are also given. The combined signal yield relative to the Standard Model prediction is measured to be 1.09 $\pm$ 0.11. The combined measurements lead to observed significances for the vector boson fusion production process and for the $H \to \tau\tau$ decay of $5.4$ and $5.5$ standard deviations, respectively. The data are consistent with the Standard Model predictions for all parameterisations considered.

618 citations


Authors

Showing all 21326 results

NameH-indexPapersCitations
Hongjie Dai197570182579
Hyun-Chul Kim1764076183227
Richard S. Ellis169882136011
Stanley B. Prusiner16874597528
Anders Björklund16576984268
Yang Yang1642704144071
Tomas Hökfelt158103395979
Bengt Winblad1531240101064
Zhenwei Yang150956109344
Marvin Johnson1491827119520
Jan-Åke Gustafsson147105898804
Markus Ackermann14661071071
Hans-Olov Adami14590883473
Markku Kulmala142148785179
Kjell Fuxe142147989846
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023158
2022537
20213,664
20203,602
20193,347
20183,092