3,849 research outputs found

    Heavy flavour spectroscopy at LHC

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    The pp collision data collected in the LHC Run I provides a great opportunity for heavy flavour studies. The latest results on exotic states, heavy baryon and Bc+B_c^+ mesons are reviewed.Comment: 7 pages, 8 figures, in proceedings of the Second Annual Conference on Large Hadron Collider Physic

    Quarkonia production in proton-lead collisions at LHCb

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    The production of J/ψJ/\psi and Υ\Upsilon mesons decaying into dimuon final state is studied at the LHCb experiment, with rapidity in the range of (1.5, 4.0) or (-5.0, -2.5) in proton-lead collisions at a nucleon-nucleon centre-of-mass energy sNN\sqrt{s_{NN}} = 5 TeV, based on a data sample corresponding to an integrated luminosity of 1.6 /fb. The nuclear modification factor and forward-backward production ratio are determined for prompt J/ψJ/\psi, J/ψJ/\psi from b-hadron decay and Υ(1S)\Upsilon(1S) mesons in study of the cold nuclear matter effects.Comment: 4 pages, 4 figures, presented at the Second Annual Conference of Large Hadron Collider Physic

    Probing Cellular Uptake of Nanoparticles, One at a Time

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    Advanced fluorescence microscopy is the method of choice to study cellular uptake of nanoparticles with molecular specificity and nanoscale resolution; yet, direct visualization of nanoparticles entry into cells poses severe technical challenges. Here, we have combined super-resolution photoactivation localization microscopy (PALM) with single particle tracking (SPT) to visualize clathrin-mediated endocytosis (CME) of polystyrene nanoparticles at very high spatial and temporal resolution


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    In this project report, I will discuss a Multiple Linear Programming Query (MLPQ) system and the theoretical background of this system.The MPLQ system is developed to solve some realistic problems involving both linear programming (UP) techniques and linear constraint databases (LCDBs) theory. The MLPQ system is aimed at providing a mechanism of bridging these two important areas. system basically consists of three parts which are a linear constraint database, an LP solver, and an interface between the LCDB and the LP solver. The LCDB of the MLPQ system contains multiple linear programming problems. The LP solver used in the MPLQ is an implementation Of the SIMPLEX method. An important feature of the MLPQ system is that it can handle the SQL aggregate Operators, such as minimum Min, maximum Max, summation Sum, and average Avg. The MLPQ system provides an efficient way of evaluation of aggregate operators for linear constraint databases