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Identified particle spectra provide an important tool for understanding the particle production mechanism and the dynamical evolution of the medium created in relativistic heavy ion collisions. Studies involving strange and multi-strange hadrons, such as K0S , Λ, and Ξ-, carry additional information since there is no net strangeness contentin the initial colliding system. Strangeness enhancement in AA collisions with respect to pp and pA collisions has long been considered as one of the signatures for quark-gluon plasma (QGP) formation. Recent observations of collective effects in high-multiplicity pp and pA collisions raise the question of whether QGP can also be formed in the smaller systems. Systematic studies of strange particle abundance, particle ratios, and nuclear modification factors can shed light on this issue. The CMS experiment has excellent strange-particle reconstruction capabilities over a broad kinematic range, and dedicated high-multiplicity triggers in pp and pPb collisions. The spectra of K0S , Λ, and Ξ- hadrons have been measured in various multiplicity and rapidity regions as a function of pT in pp, pPb, and PbPb collisions for several collision energies. The spectral shapes and particle ratios are compared in the different collision systems for events that have the same multiplicity and interpreted in the context of hydrodynamics models. [ABSTRACT FROM AUTHOR]

In this paper, we investigated the influence of asymmetric on TCP over HFC-based networks and related methods to improve the TCP performance. Then, a scheme called Modified Adaptive SACK Filtering is proposed to improve the TCP performance by adjusting the size of the block information in SACK option according to the real-time characteristics of network. Furthermore, based on the fact that the forward data is isotonic in HFC, Accelerated Lost Package Confirm is proposed to accelerate retransmission of lost packet. Based on the simulation results, the scheme make more significant performance improvement on TCP throughput than Reno and SACK Filtering. [ABSTRACT FROM PUBLISHER]