... 60° , /2 , / , / , / , / 2 2 2 482 152 0,03 16 1,4 634 0,07 , / 0,05 157 174 0,64 37 3,4 331 0,52 0,10 97 182 0,75 44 4,1 279 0,59 0,15 70 186 0,79 47 4,4 256 0,63 3 0,20 54 188 0,82 49 4,5 242 0,65 0,25 44 190 0,83 50 4,6 234 0,66 5 0,1 /3. ... 1961. ... Rockel B., Raschke E., Weyres B. A parameterization of broad band radiative transfer properties of water, ice and mixed clouds // Beitr. ... Slingo A. A GCM parameterization for the shortwave radiative properties of water clouds // J. Atmos. Sci. ...

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• http://atm563.phys.msu.ru/rus/gidromet_public_html/trudy/thmc3440112.pdf

... Three-dimensional structure of alpha-crystallin domain dimers of human small heat shock proteins HSPB1 and HSPB6. ... Small heat shock proteins (sHSPs) are a family of evolutionary conserved ATP-independent chaperones. ... To further analyze the structure of ACD dimers, we have employed a combination of X-ray crystallography and solution small-angle X-ray scattering (SAXS) to study the ACD-containing fragments of human HSPB1 (HSP27) and HSPB6 (HSP20). ...

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• Site-directed mutagenesis of cytochrome c: reactions with respiratory chain

Brain Research Group >> Research >> Change-point analysis ... << previous next >> . ... It is naturally to treat the change-points appearing close in time in a number of EEG channels as a single complex. We will call it a change-point synchrocomplex , or simply synchrocomplex . ... The spatial configuration of the functionally connected areas may vary dramatically within even short time intervals, and this dynamics may manifest itself in change-point synchrocomplexes. ...

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• Change-point detection algorithm performance with real EEG

Application of the V--Ray Technology for Optimization of the TRFD and FLO52 Perfect Club Benchmarks to CRAY Y--MP and CRAY T3D Supercomputers Alexander S. Antonov, Vladimir V. Voevodin Moscow State University, Russia e­mail: voevodin@vvv.srcc.msu.su Abstract The paper shows an application of the so­called V­ Ray Technology for optimizing the TRFD and FLO52 Perfect Club Benchmarks to CRAY Y--MP and CRAY T3D supercomputers. ... Results for CRAY Y­MP supercomputers. al structure of the program. ...

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... Moscow 119992, Russian Federation Analytical and Bioanalytical Chemistry DOI 10.1007/s00216-004-2968-4 Special Issue Paper Using enzymes isolated from diverse sources to determine metal ion cofactors Tatyana N. Shekhovtsova () · Svetlana V. Muginova T. N. Shekhovtsova · S. V. Muginova Chemistry Department, Lomonosov ... Alkaline phosphatases are known to be metal-dependent enzymes containing two metal ions: zinc and magnesium at their catalytic and allosteric sites, respectively. ...

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• http://analyt.chem.msu.ru/preconcentration/pletnev/papers/aca2k2/aca2k2.pdf
• Кафедра аналитической химии МГУ

... SDPfox - the software package for the prediction of functional specificity groups and amino acid residues that determine the specificity using MPA. ... Amino acid residues that determine differences in protein functional specificity and account for correct recognition of interaction partners, are usually thought to correspond to those positions of a protein multiple alignment, where the distribution of amino acids is closely associated with grouping of proteins by specificity. ...

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• RNA Kinetics: Theory
• SDPpred

ON NONLINEAR DYNAMICS OF THE PENDULUM WITH PERIODICALLY VARYING LENGTH Anton BELYAKOV, Alexander SEYRANIAN a_belyakov@inbox.ru, seyran@imec.msu.ru Institute of Mechanics, Moscow State Lomonosov University, Michurinsky pr. ... Keywords: Pendulum of variable length, Stability of regular rotation, Tumbling chaos, Averaging method, Stability of limit cycle, Quasi-linear oscillatory system, Basin of attraction. ... Fig. ... Thus, the first instability domain takes the form (11) Fig. ... first three terms. ...

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• http://belyakov.imec.msu.ru/papers/ThesisBelyakov.pdf

... class applied_topology(ost.Topology.Abstract): #, # p1 self.edges[p1] # p2 p1 7 self.edges = { p1: [p1_1,...,p1_k1] p2: [p2_1,...,p2_k2] ... pM: [pM_1,...,p1_kM] } # p2 # , p1 def proximity(self, p1, p2): # in bool # self.edges[p1] p2 return p2 in self.edges[p1] 3.1.1.2. . class applied_topology(ost.Topology.Abstract): #, # p1 self.edges[p1] # p2 p1 self.edges = { p1: [p1_1,...,p1_k1] p2: [p2_1,...,p2_k2] ... pM: [pM_1,...,p1_kM] } # p # , p def neighborhood(self, p): return self.edges[p] . ...

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Economic, industry and corporate trends A report from the Economist Intelligence Unit sponsored by Cisco Systems Foresight 2020 Economic, industry and corporate trends Contents Preface Executive summary Chapter 1: The world economy Chapter 2: Industries Automotive Consumer goods and retailing Energy Financial services Healthcare and pharmaceuticals Manufacturing Public sector Telecoms Chapter 3: The company Appendix I: Survey results 2 3 6 22 24 30 36 43 50 57 62 67 74 86 Appendix II: Methodology for

33. Специальность