Penentuan Indeks Kerentanan Pantai Akibat Kenaikan Muka Laut Di Pantai Bagian Barat Provinsi Banten

Shore is the area in side water and still have influence from tidal highest and lowest water. Shore vulnerability can decided with to look some factor which to influence, that is shoreline change, relative sea level, mean wave height, tidal range, coastal slope and geomorphology. Sixth factor\u27s above were factor\u27s which to influence shore vulnerability to sea level rise. This research aim was to know area vulnerability level in research location. Data\u27s which used in this research was Landsat TM 1997 and Landsat ETM+ 2009, Landuse map, SRTM (Shuttle Radar Topography Mission) Data, Tide, signifikan wave height, sea level rise relative, map batimetri. Metode which used in this research is with to analysis some data for to give result shore vulnerability index from aspect physical in research location with the data start from year 1997-2009. The result showed that based shore vulnerability index, area in the along shore part of west Banten which include to very high category is cikoneng village and which include to very low category is Pasauran, Carita, Caringin, and Margagiri Village.Key Words : Sea Level Rise, vulnerability, Shore, Province Bante

Bayesian inference for dynamic transcriptional regulation; the Hes1 system as a case study.

Motivation: In this study we address the problem of estimating the parameters of regulatory networks and provide the first application of Markov chain Monte Carlo (MCMC) methods to experimental data. As a case study we consider a stochastic model of the Hes1 system expressed in terms of stochastic differential equations (SDEs) to which rigorous likelihood methods of inference can be applied. When fitting continuous-time stochastic models to discretely observed time series the lengths of the sampling intervals are important, and much of our study addresses the problem when the data are sparse. Results: We estimate the parameters of an autoregulatory network providing results both for simulated and real experimental data from the Hes1 system. We develop an estimation algorithm using Markov chain Monte Carlo techniques which are flexible enough to allow for the imputation of latent data on a finer time scale and the presence of prior information about parameters which may be informed from other experiments as well as additional measurement error. Availability: Supplementary information is submitted with the paper. Contact

Phase Transition in Asymmetrical Superfluids I: Equal Fermi Surfaces

In this paper, we study phase transitions in asymmetrical fermion superfluids. In this scenario, the candidates to form pair are particles with mismatched masses and chemical potentials. We derive an expression for the critical temperature in terms of the gap and masses (or chemical potentials) when the constraint of equal Fermi surfaces $m_a\mu_a = m_b\mu_b$ is imposed.Comment: RevTex, 11 pages, 2 figures, typos corrected and an appendix added, accepted for publication in Phys. Rev.

A global simulation for laser driven MeV electrons in 50μm50\mu m-diameter fast ignition targets

The results from 2.5-dimensional Particle-in-Cell simulations for the interaction of a picosecond-long ignition laser pulse with a plasma pellet of 50-$\mu m$ diameter and 40 critical density are presented. The high density pellet is surrounded by an underdense corona and is isolated by a vacuum region from the simulation box boundary. The laser pulse is shown to filament and create density channels on the laser-plasma interface. The density channels increase the laser absorption efficiency and help generate an energetic electron distribution with a large angular spread. The combined distribution of the forward-going energetic electrons and the induced return electrons is marginally unstable to the current filament instability. The ions play an important role in neutralizing the space charges induced by the the temperature disparity between different electron groups. No global coalescing of the current filaments resulted from the instability is observed, consistent with the observed large angular spread of the energetic electrons.Comment: 9 pages, 6 figures, to appear in Physics of Plasmas (May 2006

Extending Human Perception of Electromagnetic Radiation to the UV Region through Biologically Inspired Photochromic Fuzzy Logic (BIPFUL) Systems.

Photochromic Fuzzy Logic Systems have been designed that extend human visual perception into the UV region. The systems are founded on a detailed knowledge of the activation wavelengths and quantum yields of a series of thermally reversible photochromic compounds. By appropriate matching of the photochromic behaviour unique colour signatures are generated in response differing UV activation frequencies