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With the continuous increase in the number of users which access to ISP's edge devices,the amount of data needs to be processed has doubled,which causes the edge device to be overloaded,and affects the normal interaction of the virtual private network data constructed by the multi-protocol label switching and the border gateway protocol.At this stage,the MCE,HOPE and SDN solutions all have certain limitations in solving this problem:the MCE mode edge device interface does not support the creation of logical channels,the solution cannot be used;the HOPE mode causes problems such as routing loops;the number of concurrent sessions processed by a single SDN controller in the SDN mode cannot exceed 64 000.In response to the above problems,an edge device optimization solution based on dual-layer virtualization is proposed.This solution includes the following three basic steps:edge device virtualization,virtual private network tunnel establishment,and virtual private network information isolation.On this basis,the solution is optimized from the network model,the construction of the network resource pool and the splitting of the network resource pool.The performance of the solution is evaluated based on the experimental environment,and compared with the virtual private network constructed in the traditional way in terms of packet forwarding rate,manageability,and sca-lability.The analysis results show that the dual-layer virtual solution which is designed to construct a network resource pool can realize the unified scheduling and management of resources,effectively solve the overloaded problem of ISP's edge equipment,and also be an effective solution for building a virtual private network.

In view of problems of big impact to power grid, serious energy waste caused by operation mode of industrial frequency of blower and fan of boiler of Yuandian No.2 Coal Mine, the paper proposed an improved method with frequency-conversion technology, analyzed energy saving principle of frequency-conversion, control principle of frequency-conversion and effect of energy saving. By use of frequency-conversion technology for fan device to regulate speed and air volume of motors, output and input of air volume of boiler can be accurately adjusted, so as to improve thermal efficiency and combustion efficiency of boiler and reduce energy consumption remarkably with 30%～40% average value of saving energy.

The paper introduced composition and working principle of TE151A hydraulic pressure station of mine hoist and expounded daily maintaining methods of TE151A hydraulic pressure station. For common fault phenomenas of TE151A hydraulic pressure station, it analyzed possible fault causes and proposed corresponding solving measures. The paper provides some reference for operating and maintaining workers of TE151A hydraulic pressure station.

Abstract In February 2011, a rare case of congenital Plasmodium vivax malaria was diagnosed in a temperate region of Central China. An infant developed intermittent fever 20 days after delivery. Since this occurred during the non-transmission winter season in a low malaria endemic region and the infant’s mother did not have a clear malaria history or showed malaria symptoms at the time of the delivery, malaria infection was not suspected at the beginning. Later, on suspicion of potential malignant haematological illness due to persistence of the fever, bone marrow smear was examined, which revealed infection by P. vivax parasite. This rare case of congenital vivax malaria underlines that malaria diagnosis might need to be included in the healthcare of neonates born in vivax-endemic areas.

Abstract Background Many malaria-related studies depend on infected red blood cells (iRBCs) as fundamental material; however, infected blood samples from human or animal models include leukocytes (white blood cells or WBCs), especially difficult to separate from iRBCs in cases involving Plasmodium vivax. These host WBCs are a source of contamination in biology, immunology and molecular biology studies, requiring their removal. Non-woven fabric (NWF) has the ability to adsorb leukocytes and is already used as filtration material to deplete WBCs for blood transfusion and surgery. The present study describes the development and evaluation of a prototype NWF filter designed for purifying iRBCs from malaria-infected blood. Methods Blood samples of P. vivax patients were processed separately by NWF filter and CF11 column methods. WBCs and RBCs were counted, parasite density, morphology and developing stage was checked by microscopy, and compared before and after treatment. The viability of filtrated P. vivax parasites was examined by in vitro short-term cultivation. Results A total of 15 P. vivax-infected blood samples were treated by both NWF filter and CF11 methods. The WBC removal rate of the NWF filter method was 99.03%, significantly higher than the CF11 methods (98.41%, P < 0.01). The RBC recovery rate of the NWF filter method was 95.48%, also significantly higher than the CF11 method (87.05%, P < 0.01). Fourteen in vitro short-term culture results showed that after filter treatment, P. vivax parasite could develop as normal as CF11 method, and no obvious density, developing stage difference were fund between two methods. Conclusions NWF filter filtration removed most leukocytes from malaria-infected blood, and the recovery rate of RBCs was higher than with CF11 column method. Filtrated P. vivax parasites were morphologically normal, viable, and suitable for short-term in vitro culture. NWF filter filtration is simple, fast and robust, and is ideal for purification of malaria-infected blood.

Abstract Background Loop-mediated isothermal amplification (LAMP) is a high performance method for detecting DNA and holds promise for use in the molecular detection of infectious pathogens, including Plasmodium spp. However, in most malaria-endemic areas, which are often resource-limited, current LAMP methods are not feasible for diagnosis due to difficulties in accurately interpreting results with problems of sensitive visualization of amplified products, and the risk of contamination resulting from the high quantity of amplified DNA produced. In this study, we establish a novel visualized LAMP method in a closed-tube system, and validate it for the diagnosis of malaria under simulated field conditions. Methods A visualized LAMP method was established by the addition of a microcrystalline wax-dye capsule containing the highly sensitive DNA fluorescence dye SYBR Green I to a normal LAMP reaction prior to the initiation of the reaction. A total of 89 blood samples were collected on filter paper and processed using a simple boiling method for DNA extraction, and then tested by the visualized LAMP method for Plasmodium vivax infection. Results The wax capsule remained intact during isothermal amplification, and released the DNA dye to the reaction mixture only when the temperature was raised to the melting point following amplification. Soon after cooling down, the solidified wax sealed the reaction mix at the bottom of the tube, thus minimizing the risk of aerosol contamination. Compared to microscopy, the sensitivity and specificity of LAMP were 98.3% (95% confidence interval (CI): 91.1-99.7%) and 100% (95% CI: 88.3-100%), and were in close agreement with a nested polymerase chain reaction method. Conclusions This novel, cheap and quick visualized LAMP method is feasible for malaria diagnosis in resource-limited field settings.

In this paper, the unidirectional transmission of surface water waves is experimentally observed by connecting the mode-selective channel and the spatial symmetry-breaking channel. The proposed mode-selective channel contains a symmetry structure but only allows the propagation of anti-symmetric modes in a specific frequency band, while the antisymmetric modes can be excited in the channel with spatial symmetry-breaking. Therefore, the surface water waves can only propagate through the channel when the fundamental plane wave mode is excited at the entrance of the spatial symmetry-breaking channel, but not vice versa. The results of theoretical and numerical analyses indicate that the evanescent wave mode caused by non-Bragg resonances is responsible for the emergence of the antisymmetric mode transmission. The non-Bragg evanescent wave mode, generated by the resonance between the fundamental and higher-order modes, widens the unidirectional transmission band of surface water waves. Limited by the small structure, the experimental observed unidirectional transmission has a wave extinction ratio of 20.49 dB. The simulations closer to the ocean situation show that the bandwidth can reach 0.18 Hz, and the extinction ratio is 46.09 dB. The realization of surface water wave transmission not only enriches our knowledge on ubiquitous wave phenomenon, but also benefits applications in ocean engineering, such as coastal protection, ocean wave control, green energy collection, and reef maintenance. [ABSTRACT FROM AUTHOR]

In response to the limitation of existing point cloud classification and segmentation methods that use max pooling to aggregate local neighborhood features, which leads to the loss of important information beyond the maximum value, this paper proposes a point cloud classification and segmentation network that combines Adaptive Graph Convolution (AGConv) and Attention Pooling (AP). Firstly, a local graph structure of the point cloud is constructed using K-nearest neighbors algorithm, and adaptive convolution kernels are generated based on the features of the points, enabling flexible and accurate capturing of local neighborhood features. Secondly, to effectively enhance feature aggregation, attention pooling is utilized to define an energy function and obtain weight values, which are used to weight and aggregate more representative local features of the point cloud. Finally, adaptive graph convolution and attention pooling are stacked to extract global features layer by layer, thereby improving the accuracy of classification and segmentation. Experimental results demonstrate that compared with the benchmark network, the average class accuracy of point cloud classification is improved by 0.9%, and the average intersection over union of part segmentation and semantic segmentation is improved by 0.8% and 0.3% respectively. This demonstrates that the algorithm can effectively improve the accuracy of point cloud classification and segmentation, and has high robustness. [ABSTRACT FROM AUTHOR]