In this paper, we propose an improved computation model of wall boundary in Smoothed Particle Hydrodynamics, a particle method for fluid simulation. Generally, particle methods calculate a wall boundary by converting it to wall particles. The proposed method uses a distance function calculated from a polygon model as a wall boundary. As a result, fluid motion in complex shapes can be simulated easily. Since the method does not use wall particles, it is able to represent a wall boundary without increasing the particle resolution. When a boundary is represented by wall particles, we have to generate a large number of wall particles. The proportion of the number of wall particles in total number of particles is high. However the proposed method does not need wall particles, it can reduce the total number of particles. After the simulation, surface mesh is usually constructed to visualize a simulation result from particles. However, it is difficult to generate smooth surface from them. We also propose a visualization method which can construct smooth fluid surfaces contacting with a wall boundary.

There is large demand for a quantitative method for rapid and ultra-sensitive detection of the influenza virus. Here, we established a digital influenza virus counting (DIViC) method that can detect a single virion without antibody. In the assay, a virion is stochastically entrapped inside a femtoliter reactor array device for the fluorogenic assay of neuraminidase, and incubated for minutes. By analyzing 600,000 reactors, the practical limit of detection reached the order of 103 (PFU)/mL, only 10-times less sensitive than RT-PCR and more than 1000-times sensitive than commercial rapid test kits (RIDTs). Interestingly, neuraminidase activity differed among virions. The coefficient of variance was 30–40%, evidently broader than that of alkaline phosphatase measured as a model enzyme for comparison, suggesting the heterogeneity in size and integrity among influenza virus particles. Sensitivity to oseltamivir also differed between virions. We also tested DIViC using clinical gargle samples that imposes less burden for sampling while with less virus titre. The comparison with RIDTs showed that DIViC was largely superior to RIDTs in the sensitivity with the clinical samples although a few false-positive signals were observed in some clinical samples that remains as a technical challenge.

A histopathological study was carried out on ayu, Plecoglossus altivelis, with bacterial haemorrhagic ascites. The fish were obtained from culture ponds in Wakayama Prefecture in 2003. The causative agent was identified as Pseudomonas plecoglossicida by a slide agglutination test using anti-P. plecoglossicida FPC941 serum. Histopathological studies revealed lesions in spleen, kidney, liver, intestine, heart and gills. Lesions in the spleen and haematopoietic tissue were prominent and invaded by P. plecoglossicida. Necrotic lesions accompanied by haemorrhage, fibrin deposition and oedema occurred in the splenic pulp and sheathed tissue, and in the kidney. The liver also had necrotic lesions and abscess formations. However, the intestine, heart and gills were only slightly invaded by P. plecoglossicida. No lesions or bacteria were observed in the brain.

No abstract

No abstract