Fully convolutional neural networks (FCNs) have shown outstanding performance in many dense labeling problems.One key pillar of these successes is mining relevant information from features in convolutional layers. However, how to better aggregate multi-level convolutional feature maps for salient object detection is underexplored. In this work, we present Amulet, a generic aggregating multi-level convolutional feature framework for salient object detection. Our framework first integrates multi-level feature maps into multiple resolutions, which simultaneously incorporate coarse semantics and fine details. Then it adaptively learns to combine these feature maps at each resolution and predict saliency maps with the combined features. Finally, the predicted results are efficiently fused to generate the final saliency map. In addition, to achieve accurate boundary inference and semantic enhancement, edge-aware feature maps in low-level layers and the predicted results of low resolution features are recursively embedded into the learning framework. By aggregating multi-level convolutional features in this efficient and flexible manner, the proposed saliency model provides accurate salient object labeling. Comprehensive experiments demonstrate that our method performs favorably against state-of-the-art approaches in terms of near all compared evaluation metrics.

Effect of the electrical boundary condition at the crack face on the mode I energy release rate in piezoelectric ceramics Appl. Phys. Lett. 94, 081902 (2009); 10.1063/1.3088855Double torsion testing and finite element analysis for determining the electric fracture properties of piezoelectric ceramics Influence of temperature on the electromechanical and fatigue behavior of piezoelectric ceramics Crack propagation in a piezoelectric lead-zirconium-titanate ͑PZT͒ material under simultaneous mechanical loading and applied electric fields is studied using the Vickers indentation technique. It is demonstrated experimentally that electric fields can inhibit or enhance crack propagation in piezoelectric materials. Cracks introduced by indentation are observed to propagate less under a positive applied electric field ͑the polarity of the field was the same as that for poling͒, whereas under a negative applied electric field, crack propagation is enhanced. Such an effect is observed to be more profound with increasing electric-field strength and decreasing mechanical loading. Attempts are made to compare these experimental observations with the results of various theoretical analyses. A mechanism for the change in crack propagation behavior of the piezoelectric PZT material under applied electric fields is presented.

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The plasma behavior in a parallel-plate dielectric barrier discharge (DBD) is simulated by a twodimensional particle-in-cell/Monte Carlo collision model, comparing for the first time an unpacked (empty) DBD with a packed bed DBD, i.e., a DBD filled with dielectric spheres in the gas gap. The calculations are performed in air, at atmospheric pressure. The discharge is powered by a pulse with a voltage amplitude of −20 kV. When comparing the packed and unpacked DBD reactors with the same dielectric barriers, it is clear that the presence of the dielectric packing leads to a transition in discharge behavior from a combination of negative streamers and unlimited surface streamers on the bottom dielectric surface to a combination of predominant positive streamers and limited surface discharges on the dielectric surfaces of the beads and plates. Furthermore, in the packed bed DBD, the electric field is locally enhanced inside the dielectric material, near the contact points between the beads and the plates, and therefore also in the plasma between the packing beads and between a bead and the dielectric wall, leading to values of 4 10 8 V m −1 , which is much higher than the electric field in the empty DBD reactor, i.e., in the order of 2 10 7 V m −1 , thus resulting in stronger and faster development of the plasma, and also in a higher electron density. The locally enhanced electric field and the electron density in the case of a packed bed DBD are also examined and discussed for three different dielectric constants, i.e., 22 r  = (ZrO 2 ), 9 r  = (Al 2 O 3 ) and 4 r  = (SiO 2 ). The enhanced electric field is stronger and the electron density is higher for a larger dielectric constant, because the dielectric material is more effectively polarized. These simulations are very important, because of the increasing interest in packed bed DBDs for environmental applications.

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Carotid-femoral pulse wave velocity (PWV), an index of large artery stiffness, is a good proxy of arterial aging and also an independent marker of cardiovascular disease. A consistently growing number of studies has shown a significant inverse association of arterial aging and cognitive function: the greater the PWV, the lower the cognitive performance (and the greater its decline over time)-regardless of heterogeneity in study populations, sample size, and measure of cognitive functions adopted in each study. Therefore the epidemiological evidence and the biological plausibility require adoption of strategies to foster the routine measurement of PWV and cognitive function measurements in each and every older subject, particularly those at higher cardiovascular risk. Consistently, limited available healthcare resources should be progressively shifted from a sterile differential diagnosis between Alzheimer-type and vascular dementia to interventions aimed to reduce PWV and, thus, to prevent dementia before its onset or to decrease its rate of progression.

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Magnetical asymmetric effect (MAE) in a geometrically and electrically symmetric capacitively coupled plasma is investigated by a one‐dimensional implicit Particle‐in‐cell/Monte Carlo collision simulation. We applied four types of asymmetric magnetic field parallel to the electrodes and the discharge operates at a single‐frequency rf source of 13.56 MHz and 150 V in argon with the pressure of 30 mTorr. The simulation results show that the asymmetric magnetic field can generate a significant dc self‐bias, which is the result of a particle‐flux balance applied to each electrode. The asymmetric magnetic field with variable gradient can produce controllable asymmetry in the plasma density and ion flux profiles to each electrode, together with a significant change on IEDF shape and width on the powered electrode. It has demonstrated that the MAE is a promising approach to increase the ion flux and still make the ion energy be adjusted in a certain range, that is, independent control of ion flux and energy to the electrode. The results suggest that the MAE can be an effective means to control the plasma properties as an augmentation to conventional measures.