The DANE (DNS-based Authentication of Named Entities) framework uses DNSSEC to provide a source of trust, and with TLSA it can serve as a root of trust for TLS certificates. This serves to complement traditional certificate authentication methods, which is important given the risks inherent in trusting hundreds of organizations—risks already demonstrated with multiple compromises. The TLSA prot...

The sera of 36 blood donors who are established HBsAg carriers were examined with the electron microscope. The findings were correlated with the histological and electronoptic appearances of the liver and the titre and subtype of the antigen. Antigen-antibody complexes could not be detected. Dane particles constituted 2 percent or more of the total particle count in five of the 36 sera, includi...

Many data dissemination techniques have been proposed to facilitate data storage and query processing. In this paper, we propose a Multi-Replication Storage (MRS) algorithm in Wireless Sensor Networks (WSNs). In MRS scheme, sensing data is collected and stored at the home nodes, which form an s-hop dominating set of the whole network. Meanwhile, each home node has some replication nodes, when t...

Two populations of Dane particles were isolated from the plasma of individuals carrying hepatitis B surface antigen. These populations had densities in CsCl of 1.22 and 1.20 g/ml. Endogenous DNA polymerase activity was found to be associated only with the heavier of these two populations. Using a positive stain, electron microscopic examination of these particles suggested that the heavier the ...

A novel scatter-difference-based local Fisher discriminant analysis(SDLFDA) algorithm for tissue classification is proposed in this paper. SDLFDA explicitly considers the local manifold structure and interclass discrimination in gene expression data space. By using SDLFDA, each gene expression data can be projected into a lower-dimensional discriminative feature space. In addition, SDFLDA reduc...

Climate change has caused more frequent floods in China which have already resulted in huge losses. Thus flood risk assessment and management is an important research topic. In this paper, a new model of flood risk assessment is proposed based on the information diffusion theory and the back propagation (BP) neural network. Due to the fact that flood statistics data are relatively short and oft...