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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.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a broad insight into the field of industrial relations, taking into account the economic, political, and social influences and the relative power of capital is provided, with a broad overview of the main players in industrial relations.
Abstract: Book Description: This major work offers a broad insight into the field of industrial relations, taking into account the economic, political, and social influences and the relative power of capital ...

480 citations

Journal ArticleDOI
TL;DR: A systematic comparison between two protocols for EV purification: ultrafiltration with subsequent liquid chromatography (UF-LC) and differential ultracentrifugation (UC) for EV recovery shows that UF-LC is scalable and adaptable for EV isolation from complex media types such as stem cell media, which is of huge significance for future clinical applications involving EVs.

480 citations

Journal ArticleDOI
11 May 2012-Cell
TL;DR: The results indicate that BMP8B is a thermogenic protein that regulates energy balance in partnership with hypothalamic AMPK, and may offer a mechanism to specifically increase energy dissipation by BAT.

480 citations

Journal ArticleDOI
A. Achterberg1, Markus Ackermann2, Jenni Adams3, J. Ahrens4  +213 moreInstitutions (23)
TL;DR: The first sensors of the IceCube neutrino observatory were deployed at the South Pole during the austral summer of 2004-2005 and have been producing data since February 2005.

480 citations

Journal ArticleDOI
TL;DR: In this article, the utility of density functional theory (DFT) in conjunction with the transition potential (TP) method to simulate x-ray-absorption spectra is explored.
Abstract: We explore the utility of density-functional theory ~DFT! in conjunction with the transition-potential ~TP! method to simulate x-ray-absorption spectra Calculations on a set of small carbon-containing molecules and chemisorbed species show that this provides a viable option for obtaining excitation energies and oscillator strengths close to the experimental accuracy of core-valence transitions Systematic variations in energy positions and intensities of the different spectra in the test series have been investigated, and comparison is made with respect to the static exchange-, self-consistent-field, and explicit electron-correlation methods The choice between standard exchange-correlation functionals is shown to be of little consequence for the valence resonant, here p*, parts of the x-ray-absorption spectra, while the long-range behavior of presently available functionals is found not to be completely satisfactory for Rydberg-like transitions Implementing a basis set augmentation technique, one finds that DFT methods still account well for most of the salient features in the near-edge x-ray-absorption spectra, save for the multielectron transitions in the near continuum, and for some loss of Rydberg structure For clusters modeling surface adsorbates, the DFT transition potential method reproduces well the spectral compression and intensity reduction for the valence level absorption compared to the free phase, provided fairly large clusters are taken into account While for near-edge x-ray-absorption fine-structure ~NEXAFS! spectra of free molecules the DFT-TP and Hartree-Fock/static exchange methods have complementary advantages, the DFT-TP method is clearly to be preferred when using clusters to simulate NEXAFS spectra of surface adsorbates @S0163-1829~98!00136-2#

478 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