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Hydrogen evolution reaction (HER) was intensified to produce bubbles as dynamic templates for the preparation of foamed porous copper (FPCu) in acidic cupric electrolyte. The macroscopic morphologies of FPCu, including pore size distribution and pore density, were determined by the bubble diameter. Bubble assemble behavior was the most important in overall process of gas evolution. Growth of hydrogen bubbles caused coalescence of bubbles and resulted in size increment of the templates. Furthermore, bubble behavior was in tight relation with residence time and current density. Results showed that the morphologies were dependent on deposition time and current density. Small pores in FPCu were attributed to the un-coalesced bubbles and large pores were ascribed to the coalesced bubbles. The embedding and nesting of small holes by the large ones contributed to the formation of hierarchical porous framework. A “stack up layers” model was proposed to illuminate the morphological transformation of FPCu from two-dimensional structure to 3-dimensional framework. Understanding of this model facilitated the preparation of macroporous copper with favorable morphologies.

An investigation on the influence of Al/CuO reactive multilayer films (RMFs) additives on exploding foil initiator was performed in this paper. Cu film and Cu/Al/CuO RMFs were produced by using standard microsystem technology and RF magnetron sputtering technology, respectively. Scanning electron microscopy characterization revealed the distinct layer structure of the as-deposited Al/CuO RMFs. Differential scanning calorimetry was employed to ascertain the amount of heat released in the thermite reaction between Al films and CuO films, which was found to be 2024 J/g. Electrical explosion tests showed that 600 V was the most matching voltage for our set of apparatus. The explosion process of two types of films was observed by high speed camera and revealed that compared with Cu film, an extra distinct combustion phenomenon was detected with large numbers of product particles fiercely ejected to a distance of about six millimeters for Cu/Al/CuO RMFs. By using the atomic emission spectroscopy double line technique, the reaction temperature was determined to be about 6000–7000 K and 8000–9000 K for Cu film and Cu/Al/CuO RMFs, respectively. The piezoelectricity of polyvinylidene fluoride film was employed to measure the average velocity of the slapper accelerated by the explosion of the films. The average velocities of the slappers were calculated to be 381 m/s and 326 m/s for Cu film and Cu/Al/CuO RMFs, respectively, and some probable reasons were discussed with a few suggestions put forward for further work.

E-Cadherin is a major component of adherens junctions on cell surfaces. SNX16 is a unique member of sorting nexins that contains a coiled-coil (CC) domain downstream of the PX domain. We report here that SNX16 regulates the recycling trafficking of E-cadherin. We solved the crystal structure of PX-CC unit of SNX16 and revealed a unique shear shaped homodimer. We identified a novel PI3P binding pocket in SNX16 that consists of both the PX and the CC domains. Surprisingly, we showed that the PPII/α2 loop, which is generally regarded as a membrane insertion loop in PX family proteins, is involved in the E-cadherin binding with SNX16. We then proposed a multivalent membrane binding model for SNX16. Our study postulates a new mechanism for coordinated membrane binding and cargo binding for SNX family proteins in general, and provide novel insights into recycling trafficking of E-cadherin.

Abstract-In this paper, we propose and investigate the characteristics of a fair queueing with service envelopes (FQSE) algorithm-a hierarchical fair-share scheduling algorithm for access networks based on a remote scheduling system such as Ethernet passive optical networks (EPON) or cable TV network. FQSE is designed to overcome the limiting factors of a typical remote scheduling system such as large control-plane delay, limited control-plane bandwidth, and significant queue switch-over overhead. The algorithm is based on a concept of service envelope-a function representing the fair allocation of resources based on a global network condition called satisfiability parameter (SP). We define properties of cousin-fairness and sibling-fairness and show the FQSE to be cousin-fair. FQSE is unique in that it is the only hierarchical algorithm that is simultaneously cousin-fair. Furthermore, we show the necessary techniques to adapt FQSE to variable-sized packet-based networks. We analyze FQSE performance in EPON serving 1024 independent queues and demonstrate FQSE's ability to provide guaranteed bandwidth to each queue and to share the excess bandwidth fairly.Index Terms-Ethernet passive optical networks (EPON), fair queueing, remote scheduling, subscriber access networks.

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Buildings along riverbanks are likely to be affected by rising water levels, therefore the acquisition of accurate building information has great importance not only for riverbank environmental protection but also for dealing with emergency cases like flooding. UAV-based photographs are flexible and cloud-free compared to satellite images and can provide very high-resolution images up to centimeter level, while there exist great challenges in quickly and accurately detecting and extracting building from UAV images because there are usually too many details and distortions on UAV images. In this paper, a deep learning (DL)-based approach is proposed for more accurately extracting building information, in which the network architecture, SegNet, is used in the semantic segmentation after the network training on a completely labeled UAV image dataset covering multi-dimension urban settlement appearances along a riverbank area in Chongqing. The experiment results show that an excellent performance has been obtained in the detection of buildings from untrained locations with an average overall accuracy more than 90%. To verify the generality and advantage of the proposed method, the procedure is further evaluated by training and testing with another two open standard datasets which have a variety of building patterns and styles, and the final overall accuracies of building extraction are more than 93% and 95%, respectively.