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15 Feb 2010

Volume 96, Issue 7, Articles (07xxxx)

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Appl. Phys. Lett. 96, 072501 (2010); http://dx.doi.org/10.1063/1.3314301 (3 pages)

T. Hesjedal and T. Phung
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Size dependence of molecular fluorescence enhancement of nanoporous gold

X. Y. Lang, P. F. Guan, L. Zhang, T. Fujita, and M. W. Chen

Appl. Phys. Lett. 96, 073701 (2010); http://dx.doi.org/10.1063/1.3323104 (3 pages) | Cited 13 times

Online Publication Date: 16 February 2010

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We report molecular fluorescence enhancement of free-standing nanoporous gold with tunable nanopore size. The fluorescence intensity of indocynanine green adsorbed on human-serum-albumin-coated nanoporous gold films significantly increases with decreasing nanopore size. The large fluorescence enhancement results from the near-field enhanced excitation and radiative decay rate of fluorophore due to the strong electromagnetic fields produced by nanosized curvatures as well as the coupling between the neighbor gold ligaments.
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87.15.mq Luminescence
87.85.Rs Nanotechnologies-applications
78.67.Rb Nanoporous materials
73.22.Lp Collective excitations

Long term in vitro stability of fully integrated wireless neural interfaces based on Utah slant electrode array

Asha Sharma, Loren Rieth, Prashant Tathireddy, Reid Harrison, and Florian Solzbacher

Appl. Phys. Lett. 96, 073702 (2010); http://dx.doi.org/10.1063/1.3318251 (3 pages) | Cited 3 times

Online Publication Date: 17 February 2010

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We herein report in vitro functional stability and recording longevity of a fully integrated wireless neural interface (INI). The INI uses biocompatible Parylene-C as an encapsulation layer, and was immersed in phosphate buffered saline (PBS) for a period of over 150 days. The full functionality (wireless radio-frequency power, command, and signal transmission) and the ability of INI to record artificial action potentials even after 150 days of PBS soaking without any change in signal/noise amplitude constitutes a major milestone in long term stability, and evaluate the encapsulation reliability, functional stability, and potential usefulness for future chronic implants.
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87.85.eg Electrode stimulation
87.85.J- Biomaterials
87.19.lb Action potential propagation and axons

Network analysis of human heartbeat dynamics

Zhi-Gang Shao

Appl. Phys. Lett. 96, 073703 (2010); http://dx.doi.org/10.1063/1.3308505 (3 pages) | Cited 6 times

Online Publication Date: 18 February 2010

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We construct the complex networks of human heartbeat dynamics and investigate their statistical properties, using the visibility algorithm proposed by Lacasa and co-workers [ Proc. Natl. Acad. Sci. U.S.A. 105, 4972 (2008) ]. Our results show that the associated networks for the time series of heartbeat interval are always scale-free, high clustering, hierarchy, and assortative mixing. In particular, the assortative coefficient of associated networks could distinguish between healthy subjects and patients with congestive heart failure.
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87.19.Hh Cardiac dynamics
89.75.Hc Networks and genealogical trees
05.45.Tp Time series analysis
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