Electrical resistivity and Seebeck coefficient increase monotonically with increase in the Bi content resulting mainly from decrease in carrier concentration. Moreover, first-principle calculations were performed on the occupation options of Bi atoms in beta-Zn4Sb3, which show that Bi will preferentially occupy the Zn sites and not Sb sites and act as donors, being consistent with the experimental observations. In addition, the lightly doped compound (Zn0.9975Bi0.0025)(4)Sb-3 exhibits the best thermoelectric performance due to the improvement in both its thermal conductivity and Seebeck coefficient, whose
figure of merit, ZT, is about 1.5 times larger than that of beta-Zn4Sb3 at 300 K. (C) 2011 EVP4593 manufacturer American Institute of Physics. [doi:10.1063/1.3544479]“
“Piassava (Attalea funifera) fibers subjected to several surface chemical treatments and as-received raw fibers were compared with respect to their thermal and tensile behaviors. The thermal degradation of the raw fibers was characterized by three main stages that corresponded to water release at low find more temperatures, decomposition of hemicellulose, and decomposition of alpha cellulose. Mercerization acted mainly on hemicellulose removal, and there was
no change in the hydrophilic behavior of the fibers. The removal of hemicellulose split the fibers into microfibrils and favored the thermal decomposition of alpha cellulose. The same behavior was observed when the fibers were subjected to mercerization and acetylation. The fibers subjected to only acetylation showed thermal behavior similar to that of the raw fibers. With the acetylation treatment, a minor decrease in the hydrophilic character of the fibers was noted. Despite some differences in the thermal behavior, the tensile strengths
of the raw and treated fibers were statistically equal. Complementary Fourier transform infrared and scanning electron microscopy analysis corroborated the thermogravimetric analysis/differential thermogravimetry results. (C) 2010 Wiley Periodicals, ALK inhibitor Inc. J Appl Polym Sci 120: 2508-2515, 2011″
“Using separate generalized mixed-effects models, we assessed seizure recall and prediction, as well as contributing diagnostic variables, in 83 adult patients with epilepsy undergoing video/EEG monitoring. The model revealed that when participants predicted a seizure, probability equaled 0.320 (95% CI: 0.149-0.558), a significant (P<0.05) increase over negative predictions (0.151, 95% CI: 0.71-0.228]). With no seizure, the rate of remembering was approximately 0.130 (95% CI: 0.73-0.219), increasing significantly to 0.628 (95% CI: 0.439 to 0.784) when a seizure occurred (P<0.001). Of the variables analyzed, only inpatient seizure rate influenced predictability (P<0.001) or recollection (P<0.001).