6,496 research outputs found
High p_T identified hadron ratios in sqrt(s_NN)=200GeV Au+Au Collisions
The PHENIX detector at RHIC measured high p_T identified hadron ratios in
sqrt(s_NN) = 200GeV Au+Au collisions. Within the current systematic and
statistical errors, pbar/p ratios that are measured up to 3.8GeV/c are almost
independent of both p_T and centrality. The baryon to meson ratio is measured
through p/pi and pbar/pi ratios up to 3.8GeV/c, showing they are strongly
centrality dependent.Comment: 4 pages, 4 figures. Talk presented at Quark Matter 2002, Nantes,
France, July 18-24, 2002. To appear in the proceedings (Nucl. Phys. A
Instability of synchronized motion in nonlocally coupled neural oscillators
We study nonlocally coupled Hodgkin-Huxley equations with excitatory and
inhibitory synaptic coupling. We investigate the linear stability of the
synchronized solution, and find numerically various nonuniform oscillatory
states such as chimera states, wavy states, clustering states, and
spatiotemporal chaos as a result of the instability.Comment: 8 pages, 9 figure
Chaotic diffusion of particles with finite mass in oscillating convection flows
Deterministic diffusion in temporally oscillating convection is studied for
particles with finite mass. The particles are assumed to obey a simple
dissipative dynamical system and the particle diffusion is induced by the
strange attractor. The diffusion constants are numerically calculated for
convection models with free and rigid boundary conditions.Comment: 5 figure
Creation of knowledge through exchanges of knowledge: Evidence from Japanese patent data
This study shows evidence for collaborative knowledge creation among individual researchers through direct exchanges of their mutual differentiated knowledge. Using patent application data from Japan, the collaborative output is evaluated according to the quality and novelty of the developed patents, which are measured in terms of forward citations and the order of application within their primary technological category, respectively. Knowledge exchange is shown to raise collaborative productivity more through the extensive margin (i.e., the number of patents developed) in the quality dimension, whereas it does so more through the intensive margin in the novelty dimension (i.e., novelty of each patent)
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