“
“Multiferroicity and magnetoelectric effects in CuO have been investigated by measurements of magnetization, dielectric constant, and electric polarization with and without magnetic

fields. Dielectric anomalies which indicate ferroelectric transitions were observed at two magnetic transition temperatures. Ferroelectric polarization was well detected in the incommensurate spiral phase. However, both dielectric constant and polarization have little changes in a 7 T magnetic field. Our study suggests that although with a high multiferroic temperature, the spiral spin structure in CuO is very stable and the induced ferroelectricity sustains even in a high magnetic field, which results in little magnetoelectric effects. (C) 2011 American signaling pathway Institute of Physics. [doi:10.1063/1.3636106]“
“In this study, compatibilizing ability of silicone carbide modified multiwalled carbon nanotube (MWCNT) and polyphosphazene for the incompatible polyetherimide/liquid crystalline polymer (LCP) blend was investigated in detail. From rheological study, it was evident that the viscosities of binary and ternary blends were lower than those of the neat polymers, which signifying the great

ability of LCP buy Givinostat as a processing aid. Field emission scanning electron microscopic analysis revealed that the addition of polyphosphazene and modified MWCNT, together, reduced the average domain size of LCP and improved the filler-matrix adhesion.

Measurement of surface energy from contact angle measurement also point towards the improved interfacial interaction, in presence of compatibilizers. (C) 2011 Wiley Periodicals, Inc. J Appl Polym Sci, 2012″
“Songs of many songbird species consist of variable sequences of a finite number of syllables. A common approach for characterizing the syntax of these complex HKI272 syllable sequences is to use transition probabilities between the syllables. This is equivalent to the Markov model, in which each syllable is associated with one state, and the transition probabilities between the states do not depend on the state transition history. Here we analyze the song syntax in Bengalese finch. We show that the Markov model fails to capture the statistical properties of the syllable sequences. Instead, a state transition model that accurately describes the statistics of the syllable sequences includes adaptation of the self-transition probabilities when states are revisited consecutively, and allows associations of more than one state to a given syllable. Such a model does not increase the model complexity significantly. Mathematically, the model is a partially observable Markov model with adaptation (POMMA).