scispace - formally typeset
Search or ask a question
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: Catalysis & Laser. The organization has 66747 authors who have published 123358 publications receiving 1753995 citations. The organization is also known as: MSU & Lomonosov Moscow State University.


Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, a relationship for rill flow velocities was proposed, which was found to be a consistent and appropriate predictor for unit sediment load for the entire data set, while other hydraulic variables were not.
Abstract: Rills often act as sediment sources and the dominant sediment and water transport mechanism for hillslopes. Six experiments were conducted on two soils and a uniform sand using three experimental methodologies. The results of this study challenge the assumption often used in hydrologic and erosion models that relationships derived for sheet flow or larger channel flow are applicable to actively eroding rills. Velocity did not vary with slope, and Reynolds number was not a consistent predictor of hydraulic friction. This result was due to interactions of slope gradient, flow rate, erosion, and the formation of rill roughness, bed structures, and head cuts. A relationship for rill flow velocities was proposed. Stream power was found to be a consistent and appropriate predictor for unit sediment load for the entire data set, while other hydraulic variables were not. The data for stream power and sediment load fit the form of a logistic curve (r2 = 0.93), which is promising relative to recently proposed erosion models which are based on probabilistic particle threshold theory.

387 citations

MonographDOI
01 Jan 2000
TL;DR: The existence of solutions to optimal control problems Optimality system for optimal control problem The solvability of boundary value problems for a dense set of data The problem of work minimization in accelerating still fluid to a prescribed velocity Optimal boundary control for nonstationary problems of fluid flow and nonhomogeneous boundary value problem for the Navier-Stokes equations The Cauchy problem for elliptic equations in a conditionally well-posed formulation as discussed by the authors.
Abstract: The existence of solutions to optimal control problems Optimality system for optimal control problems The solvability of boundary value problems for a dense set of data The problem of work minimization in accelerating still fluid to a prescribed velocity Optimal boundary control for nonstationary problems of fluid flow and nonhomogeneous boundary value problems for the Navier-Stokes equations The Cauchy problem for elliptic equations in a conditionally well-posed formulation The local exact controllability of the flow of incompressible viscous fluid Bibliography Index.

387 citations

Journal ArticleDOI
Roel Aaij, Bernardo Adeva1, Marco Adinolfi2, A. A. Affolder3  +710 moreInstitutions (63)
TL;DR: In this article, the authors measured the isospin asymmetries of the B (0) -> K ( 0) mu (+) mu (-), B (1) → K (1)-m (+) m mu (-) and B (2)→ K (2)-m (-) m (-), respectively.
Abstract: The isospin asymmetries of B -> K mu (+) mu (-) and B -> K (*) mu (+) mu (-) decays and the partial branching fractions of the B (0) -> K (0) mu (+) mu (-), B (+) -> K (+) mu (+) mu (-) and B (+) -> K (*+) mu (+) mu (-) decays are measured as functions of the dimuon mass squared, q (2). The data used correspond to an integrated luminosity of 3 fb(-1) from proton-proton collisions collected with the LHCb detector at centre-of-mass energies of 7 TeV and 8 TeV in 2011 and 2012, respectively. The isospin asymmetries are both consistent with the Standard Model expectations. The three measured branching fractions favour lower values than their respective theoretical predictions, however they are all individually consistent with the Standard Model.

386 citations

Journal ArticleDOI
26 Jan 2007-Science
TL;DR: The cellular mechanisms of Dpp and Wingless spreading are different: Dpp spreading requires endocytic, intracellular trafficking, and the range is controlled by the four key kinetic parameters governing morphogen spreading.
Abstract: In the developing fly wing, secreted morphogens such as Decapentaplegic (Dpp) and Wingless (Wg) form gradients of concentration providing positional information. Dpp forms a longer-range gradient than Wg. To understand how the range is controlled, we measured the four key kinetic parameters governing morphogen spreading: the production rate, the effective diffusion coefficient, the degradation rate, and the immobile fraction. The four parameters had different values for Dpp versus Wg. In addition, Dynamin-dependent endocytosis was required for spreading of Dpp, but not Wg. Thus, the cellular mechanisms of Dpp and Wingless spreading are different: Dpp spreading requires endocytic, intracellular trafficking.

386 citations

Journal ArticleDOI
Roel Aaij, Bernardo Adeva1, Marco Adinolfi2, A. A. Affolder3  +695 moreInstitutions (49)
TL;DR: The observed evolution of the Z(4430)^{-} amplitude with the ψ^{ fb^{-1} mass establishes the resonant nature of this particle.
Abstract: Resonant structures in B-0 -> psi'pi K--(+) decays are analyzed by performing a four-dimensional fit of the decay amplitude, using pp collision data corresponding to 3 fb(-1) collected with the LHCb detector. The data cannot be described with K+pi(-) resonances alone, which is confirmed with a model-independent approach. A highly significant Z(4430)(-) -> psi'pi(-) component is required, thus confirming the existence of this state. The observed evolution of the Z(4430)(-) amplitude with the psi'pi(-) mass establishes the resonant nature of this particle. The mass and width measurements are substantially improved. The spin parity is determined unambiguously to be 1(+).

386 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
Network Information
Related Institutions (5)
Russian Academy of Sciences
417.5K papers, 4.5M citations

96% related

Saint Petersburg State University
53.4K papers, 1.1M citations

93% related

Russian Academy
17.7K papers, 340.7K citations

88% related

National Academy of Sciences of Ukraine
59.4K papers, 573.4K citations

87% related

Centre national de la recherche scientifique
382.4K papers, 13.6M citations

87% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023541
20221,582
20217,040
20208,674
20198,296
20187,187