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Institution

Moscow State University

EducationMoscow, Russia
About: Moscow State University is a education organization based out in Moscow, Russia. It is known for research contribution in the topics: Laser & Population. The organization has 66747 authors who have published 123358 publications receiving 1753995 citations. The organization is also known as: MSU & Lomonosov Moscow State University.


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Journal ArticleDOI
TL;DR: It is demonstrated that ASC-derived EVs induced in vitro vessel-like structure formation by human microvascular endothelial cells (HMEC) and suggested that PDGF may trigger the release of EVs with an enhanced angiogenic potential.
Abstract: Several studies demonstrate the role of adipose mesenchymal stem cells (ASCs) in angiogenesis. The angiogenic mechanism has been ascribed to paracrine factors since these cells secrete a plenty of signal molecules and growth factors. Recently it has been suggested that besides soluble factors, extracellular vesicles (EVs) that include exosomes and microvesicles may play a major role in cell-to-cell communication. It has been shown that EVs are implicated in the angiogenic process. Herein we studied whether EVs released by ASCs may mediate the angiogenic activity of these cells. Our results demonstrated that ASC-derived EVs induced in vitro vessel-like structure formation by human microvascular endothelial cells (HMEC). EV-stimulated HMEC when injected subcutaneously within Matrigel in SCID mice formed vessels. Treatment of ASCs with platelet-derived growth factor (PDGF) stimulated the secretion of EVs, changed their protein composition and enhanced the angiogenic potential. At variance of EVs released in basal conditions, PDGF-EVs carried c-kit and SCF that played a role in angiogenesis as specific blocking antibodies inhibited in vitro vessel-like structure formation. The enhanced content of matrix metalloproteinases in PDGF-EVs may also account for their angiogenic activity. Our findings indicate that EVs released by ASCs may contribute to the ASC-induced angiogenesis and suggest that PDGF may trigger the release of EVs with an enhanced angiogenic potential.

249 citations

Journal Article
TL;DR: The common principles behind this approach to micro-services architecture and implementation patterns are discussed, its advantages and disadvantages as well as its possible usage in M2M applications.
Abstract: This paper provides an overview of micro-services architecture and implementation patterns. It continues our series of publications about M2M systems, existing and upcoming system software platforms for M2M applications. A micro-service is a lightweight and independent service that performs single functions and collaborates with other similar services using a well-defined interface. We would like to discuss the common principles behind this approach, its advantages and disadvantages as well as its possible usage in M2M applications.

249 citations

Journal ArticleDOI
TL;DR: All inorganic lead halide perovskites can successfully compete in terms of photovoltaic performance with the most widely used hybrid materials such as MAPbI3.
Abstract: We report here all inorganic CsPbI3 planar junction perovskite solar cells fabricated by thermal coevaporation of CsI and PbI2 precursors. The best devices delivered power conversion efficiency (PCE) of 9.3 to 10.5%, thus coming close to the reference MAPbI3-based devices (PCE ≈ 12%). These results emphasize that all inorganic lead halide perovskites can successfully compete in terms of photovoltaic performance with the most widely used hybrid materials such as MAPbI3.

249 citations

Journal ArticleDOI
Juan Antonio Aguilar-Saavedra1, Ahmed Ali, Benjamin C. Allanach2, Richard L. Arnowitt3, Howard Baer4, Jonathan Bagger5, Csaba Balázs6, Vernon Barger7, Michael Barnett8, A. Bartl9, Marco Battaglia8, Philip Bechtle10, Geneviève Bélanger, Alexander Belyaev11, Edmond L. Berger6, G.A. Blair12, Edouard Boos13, Marcela Carena14, S.Y. Choi15, Frank F. Deppisch, A. De Roeck16, Klaus Desch17, Marco Aurelio Diaz18, Abdelhak Djouadi19, Bhaskar Dutta3, S. Dutta10, S. Dutta20, Helmut Eberl21, John Ellis16, Jens Erler22, H. Fraas23, Ayres Freitas24, T. Fritzsche25, Rohini M. Godbole26, G. Gounaris27, Jaume Guasch28, John F. Gunion29, Naoyuki Haba30, Howard E. Haber31, K. Hagiwara, Liyuan Han32, Tao Han7, Hong-Jian He33, Sven Heinemeyer16, S. Hesselbach34, Keisho Hidaka35, I. Hinchliffe8, Martin Hirsch36, K. Hohenwarter-Sodek9, Wolfgang Hollik25, W. S. Hou37, Tobias Hurth10, Tobias Hurth16, I. Jack38, Yi Jiang32, D.R.T. Jones38, J. Kalinowski39, T. Kamon3, Gordon L. Kane40, Sin Kyu Kang41, Thomas Kernreiter9, Wolfgang Kilian, Choong Sun Kim42, Stephen F. King43, O. Kittel44, Michael Klasen, J. L. Kneur45, K. Kovarik21, Michael Kramer46, Sabine Kraml16, Remi Lafaye47, Paul Langacker48, Heather E. Logan49, W. G. Ma32, W. Majerotto21, H. U. Martyn46, Konstantin Matchev50, David J. Miller51, Myriam Mondragón22, Gudrid Moortgat-Pick16, Stefano Moretti43, Takehiko Mori52, Gilbert Moultaka45, Steve Muanza53, M. M. Mühlleitner, Biswarup Mukhopadhyaya54, U. Nauenberg55, Mihoko M. Nojiri56, D. Nomura11, H. Nowak, N. Okada, Keith A. Olive57, W. Oller21, Michael E. Peskin10, Tilman Plehn25, Giacomo Polesello, Werner Porod36, Werner Porod24, Fernando Quevedo2, David L. Rainwater58, Jürgen Reuter, Peter J. Richardson59, Krzysztof Rolbiecki39, Probir Roy60, Reinhold Rückl23, Heidi Rzehak61, P. Schleper62, Kim Siyeon63, Peter Skands14, P. Slavich, Dominik Stöckinger59, Paraskevas Sphicas16, Michael Spira61, Tim M. P. Tait6, Daniel Tovey64, José W. F. Valle36, Carlos E. M. Wagner65, Carlos E. M. Wagner6, Ch. Weber21, Georg Weiglein59, Peter Wienemann17, Z.-Z. Xing, Y. Yamada66, Jin Min Yang, D. Zerwas19, P.M. Zerwas, Ren-You Zhang32, X. Zhang, S.-H. Zhu67 
University of Lisbon1, University of Cambridge2, Texas A&M University3, Florida State University4, Johns Hopkins University5, Argonne National Laboratory6, University of Wisconsin-Madison7, Lawrence Berkeley National Laboratory8, University of Vienna9, Stanford University10, Michigan State University11, Royal Holloway, University of London12, Moscow State University13, Fermilab14, Chonbuk National University15, CERN16, University of Freiburg17, Pontifical Catholic University of Chile18, University of Paris19, University of Delhi20, Austrian Academy of Sciences21, National Autonomous University of Mexico22, University of Würzburg23, University of Zurich24, Max Planck Society25, Indian Institute of Science26, Aristotle University of Thessaloniki27, University of Barcelona28, University of California, Davis29, University of Tokushima30, University of California, Santa Cruz31, University of Science and Technology of China32, Tsinghua University33, Uppsala University34, Tokyo Gakugei University35, Spanish National Research Council36, National Taiwan University37, University of Liverpool38, University of Warsaw39, University of Michigan40, Seoul National University41, Yonsei University42, University of Southampton43, University of Bonn44, University of Montpellier45, RWTH Aachen University46, Laboratoire d'Annecy-le-Vieux de physique des particules47, University of Pennsylvania48, Carleton University49, University of Florida50, University of Glasgow51, University of Tokyo52, University of Lyon53, Harish-Chandra Research Institute54, University of Colorado Boulder55, Kyoto University56, University of Minnesota57, University of Rochester58, Durham University59, Tata Institute of Fundamental Research60, Paul Scherrer Institute61, University of Hamburg62, Chung-Ang University63, University of Sheffield64, University of Chicago65, Tohoku University66, Peking University67
TL;DR: In this article, a supersymmetry Parameter Analysis SPA (SPA) scheme is proposed based on a consistent set of conventions and input parameters, which connect parameters in different schemes and relate the Lagrangian parameters to physical observables at LHC and high energy e+e-linear collider experiments.
Abstract: High-precision analyses of supersymmetry parameters aim at reconstructing the fundamental supersymmetric theory and its breaking mechanism. A well defined theoretical framework is needed when higher-order corrections are included. We propose such a scheme, Supersymmetry Parameter Analysis SPA, based on a consistent set of conventions and input parameters. A repository for computer programs is provided which connect parameters in different schemes and relate the Lagrangian parameters to physical observables at LHC and high energy e+e- linear collider experiments, i.e., masses, mixings, decay widths and production cross sections for supersymmetric particles. In addition, programs for calculating high-precision low energy observables, the density of cold dark matter (CDM) in the universe as well as the cross sections for CDM search experiments are included. The SPA scheme still requires extended efforts on both the theoretical and experimental side before data can be evaluated in the future at the level of the desired precision. We take here an initial step of testing the SPA scheme by applying the techniques involved to a specific supersymmetry reference point.

249 citations

Journal ArticleDOI
TL;DR: In this paper, a diagrammatic technique is developed to describe pseudogap formation in the Hubbard-like models, which utilizes an exact transition to the dual set of variables, and therefore becomes possible to treat the irreducible vertices of an effective single-impurity problem as small parameters.
Abstract: A diagrammatic technique is developed to describe nonlocal effects (e.g., pseudogap formation) in the Hubbard-like models. In contrast to cluster approaches, this method utilizes an exact transition to the dual set of variables, and it therefore becomes possible to treat the irreducible vertices of an effective single-impurity problem as small parameters. This provides a very efficient interpolation between weak coupling (band) and atomic limits. The antiferromagnetic pseudogap formation in the Hubbard model is correctly reproduced by just the lowest-order diagrams.

248 citations


Authors

Showing all 68238 results

NameH-indexPapersCitations
Krzysztof Matyjaszewski1691431128585
A. Gomes1501862113951
Robert J. Sternberg149106689193
James M. Tour14385991364
Alexander Belyaev1421895100796
Rainer Wallny1411661105387
I. V. Gorelov1391916103133
António Amorim136147796519
Halina Abramowicz134119289294
Grigory Safronov133135894610
Elizaveta Shabalina133142192273
Alexander Zhokin132132386842
Eric Conte132120684593
Igor V. Moskalenko13254258182
M. Davier1321449107642
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023541
20221,582
20217,040
20208,673
20198,296
20187,187