Observation of photobleaching and intensity dependent kinetics in Ge22As22Se56 thin films under sub-bandgap light illumination

We experimentally demonstrate photobleaching (PB) in Ge22As22Se56 thin films, when illuminated with a diode pumped solid state laser (DPSSL) of wavelength 671 nm, which is far below the optical bandgap of the sample. Interestingly, we found that PB is a slow process and occurs even at moderate pump beam intensity of 0.2 W/cm(2), however the kinetics remain rather different.

Modified Einstein's gravity as a possible missing link between sub- and super-Chandrasekhar type Ia supernovae

We explore the effect of modification to Einstein's gravity in white dwarfs for the first time in the literature, to the best of our knowledge. This leads to significantly sub- and super-Chandrasekhar limiting masses of white dwarfs, determined by a single model parameter. On the other hand, type Ia supernovae (SNeIa), a key to unravel the evolutionary history of the universe, are believed to be triggered in white dwarfs having mass close to the Chandrasekhar limit. However, observations of several peculiar, under- and over-luminous SNeIa argue for exploding masses widely different from this limit. We argue that explosions of the modified gravity induced sub- and super-Chandrasekhar limiting mass white dwarfs result in under- and over-luminous SNeIa respectively, thus unifying these two apparently disjoint sub-classes and, hence, serving as a missing link. Our discovery raises two fundamental questions. Is the Chandrasekhar limit unique? Is Einstein's gravity the ultimate theory for understanding astronomical phenomena? Both the answers appear to be no!

Robust Whisper Activity Detection Using Long-Term Log Energy Variation of Sub-Band Signal

The goal in the whisper activity detection (WAD) is to find the whispered speech segments in a given noisy recording of whispered speech. Since whispering lacks the periodic glottal excitation, it resembles an unvoiced speech. This noise-like nature of the whispered speech makes WAD a more challenging task compared to a typical voice activity detection (VAD) problem. In this paper, we propose a feature based on the long term variation of the logarithm of the short-time sub-band signal energy for WAD. We also propose an automatic sub-band selection algorithm to maximally discriminate noisy whisper from noise. Experiments with eight noise types in four different signal-to-noise ratio (SNR) conditions show that, for most of the noises, the performance of the proposed WAD scheme is significantly better than that of the existing VAD schemes and whisper detection schemes when used for WAD.

Kinetic and Size Control of Polystyrene and Polyacrylic Octadecyl Ester Lattices Via Polymerization in O/W Microemulsions

The kinetic studies of the acrylic octadecyl ester and styrene polymerization in microemulsion systems, (1) cetyl pyridine bromide (CPDB)/t-butanol/styrene/water; (2) CPDB/t-butanol/toluene + acrylic octadecyl ester (1:1, w/v)/ water; (3) cetyl pyridine bromide/styrene/formamide, were made by using dynamic laser light scattering techniques (DLS). The mechanisms of nucleation of latex particles were discussed. The most possible nucleation location of the styrene and acrylic octadecyl ester microlatex particles in aqueous microemulsion system is in aqueous phase via homogeneous nucleation. Meanwhile, parts of microlatex particles are possibly produced via swollen micelles (microemulsions) and monomer droplets nucleation. On the other hand, the most possible nucleation location of the styrene microlatex particles in nonaqueous microemulsion system is inside monomer droplets. The relationship between the amount of monomer and the size of microlatex was also investigated. It has been found that the size of microlatex particles could be controlled by changing the amount of monomer. (C) 2002 Elsevier Science B.V. All rights reserved.

Characteristics and Sub-Characteristics of Two-Dimensional Parabolized Stability Equations

特征分析表明：对原始扰动量的抛物化稳定性方程组(PSE),它在亚超音速区分别具有椭圆和抛物特性,给出PSE特征对马赫数的依赖关系,阐明PSE仅把信息对流-扩散传播特性抛物化,而保留了信息对流-扰动传播特性,因此PSE应称为扩散抛物化稳定性方程(DPSE)。

Estudio epidemiológico de la prevalencia de mastitis Sub. clínica en el ganado reina en la finca Santa Rosa (UNA) en época de lluvia

El presente trabajo investigativo se llevó a cabo en la finca Santa Rosa de la UNA. Con el objetivo de determinar la prevalencia de mastitis subclínica en condiciones tradicional de ordeño, en el Ganado Criollo Reina, se evaluó un total de 290 muestras de, durante un periodo de seis meses de Mayo a Octubre del dos mil cinco (2005). Para conocer la prevalencia de mastitis en el ganado Reina, se realizó una prueba de diagnóstico individual utilizando para esto la prueba de California Mastitis Test (CMT). Los resultados de la prueba CMT muestran que de 290 pruebas realizadas que corresponden al mismo número de vacas, 118 resultaron positivas, al menos con una cruz en uno de sus cuartos mamarios, representando un 41% de esto un 35% mastitis subclínica un 5.1% de mastitis clínica y un 59% de negatividad, este hato es considerado, como una unidad AFECTADA. Se observó que en los diferentes muestreos se presentaron un mayor porcentaje de reacción positiva en los el muestreo numero 12 (70.58) y el muestreo número 8 (58.33%) y el muestreo numero 11 (54.28). Los resultados obtenidos en relación al grado de intensidad, tomando en cuenta los parámetros, indican que del total de la población examinada en términos porcentuales el 4.13% está representada por tres cruces (+++), el 6.03% representada por dos cruces (++) y el 11.37% representada por una cruz (+), para un total de 21.53%. Los cuartos anteriores presentaron mayor prevalencia por mastitis con un 49.30"/o y el más afectado fue el Anterior Derecho (AD) con el 24.82 % reaccionaron positivos. El parto número cinco (- 1.2772). Del factor periodo de lactancia (PERL) este resulto significativos, observándose una tendencia marcada a mayor afectación para el periodo de lactancia cinco presento mayor afectación por mastitis seguido del periodo uno.

A Bayesian wavelet-based multidimensional deconvolution with sub-band emphasis

This paper proposes a new algorithm for waveletbased multidimensional image deconvolution which employs subband-dependent minimization and the dual-tree complex wavelet transform in an iterative Bayesian framework. In addition, this algorithm employs a new prior instead of the popular ℓ1 norm, and is thus able to embed a learning scheme during the iteration which helps it to achieve better deconvolution results and faster convergence. © 2008 IEEE.