A model for predicting the thermal conductivity of SiO2-Ge nanoparticle composites.

We present a simple theoretical model that predicts the thermal conductivity of SiO2 layers with embedded Ge quantum dots (QDs). Overall, the resulting nanoscale architecture comprising the structural relaxation in the SiO2 matrix, deviation in mass density of the QDs compared to the surrounding matrix and local strains associated with the dots are all likely to enhance phonon scattering and thus reduce the thermal conductivity in these systems. We have found that the conductivity reduction can be predicted by the dot-induced local elastic perturbations in SiO2.

Cognitive and motor components of response speed in the stroop test in Parkinson's disease patients.

This study assessed the performance of patients with Parkinson's disease (PD) in the Stroop test. Twenty-seven patients with PD (17 men, 10 women; mean age, 63.3 +/- 10.