Stacking faults in (1010) unicrystal Co and Co-alloy thin films have been analyzed by the electron diffraction technique. As predicted no diffraction contrast of stacking faults could be observed when the beam is parallel to the [1010] direction. However, both by plan-view TEM observation and electron diffraction along the [1120] direction reveal that the stacking fault density in biased pure C...

Stacking is a widely used technique for combining classifier and improving prediction accuracy. Early research in Stacking showed that selecting the right classifiers their parameters and the meta-classifier was a critical issue. Most of the research on this topic hand picks the right combination of classifier and their parameters. Instead of starting from these initial strong assumptions, our ...

Objective: To evaluate cough efficiency using two manually-assisted cough techniques. Methods: We selected 28 patients with Duchenne muscular dystrophy. The patients were receiving noninvasive nocturnal ventilatory support and presented FVC values < 60% of predicted. Peak cough flow (PCF) was measured, with the patient seated, at four time points: at baseline, during a spontaneous maximal expir...

Third-order bounds on the conductivity of a random stacking of cubes are constructed. Since a random stacking of cubes is a symmetric cell material the bounds are determined by a Miller parameter G J. (1969)] that is independent of volume fractions. We evaluate this parameter with a boundary integral technique to G = 0:1375164293203.

Common-midpoint (CMP) stacking technique plays an important role in enhancing the signal-to-noise ratio (SNR) in seismic data processing and imaging. Weighted stacking is often used to improve the performance of conventional equalweight stacking in further attenuating random noise and handling the amplitude variations in real seismic data. In this study, we propose to use a hybrid framework of ...

Due to the influence of complex factors such as atmospheric dynamic processes, physical processes and local topography geomorphology, prediction near-surface meteorological elements in numerical weather model often has deviation. The deep learning neural networks are more flexible but with high variance. Here, we proposed a stacking ensemble named FLT, which consists fully connected network emb...

A novel approach is proposed for the efficient estimation of the two-dimensional (2-D) direction-of-arrival (DOA) of signals impinging on two orthogonal uniform linear arrays (ULAs). By partitioning the cross-correlation matrix (CCM) between two ULAs data into a great deal of submatrices and making use of the submatrices and the symmetric subarrays, an extended correlation matrix is constructed...