K+(K0)- Condensation in Highly Dense Matter with the Relativistic Mean-Field Theory

Properties of dense hadronic matter including strange particles are studied within the relativistic mean-field theory (RMFT). The possibility of kaon condensation is reexamined, and a simple condition is found for the parameters included in RMFT.Comment: 12pages, Latex is used, 3 Postscript figures are available by request from [email protected]

Tumor-to-Tumor Metastasis to Chromophobe Renal Cell Carcinoma: A First Report

Tumor-to-tumor metastasis is a rare phenomenon. From our review of the international literature, around 150 cases have been reported since it was first documented by Campbel in 1868. Renal clear cell carcinoma is well known to be the most common recipient of tumor-to-tumor metastasis in all tumors. However, renal chromophobe cell carcinoma has not been reported to be a recipient. Here, we report a first case of colorectal carcinoma metastatic to chromophobe renal cell carcinoma

Multifactor complex containing B element binding factor, BBF, and repressors regulate the human alpha 1(III) collagen gene (COL3A1).

Type III collagen is found in fetal skin and blood vessels. Previously, we characterized the proximal promoter of the human alpha1(III) collagen gene (COL3A1) using the human rhabdomyosarcoma cell line, A204, and NIH3T3 cells (Yoshino et al., Biochim Biophys Acta, 2005). In the present study, we further analyzed this promoter using additional cell lines, namely a human embryonal rhabdomyosarcoma cell line (RD) and bovine vascular smooth muscle cells (vSMCs), both of which show high expression of type III collagen. Using a luciferase assay, electrophoretic mobility shift assays (EMSA), and DNase footprinting assay, 2 types of multifactor complexes were shown to bind to the DNA region in the vicinity of the B element (- 80 to - 58), depending on the cell type. Next, we used cells stably transfected with a GFP-linked type III collagen promoter fragment for analysis of promoter expression. Usually, transfected cells retained the characteristics of the original cells. However, in several clones derived from RD cells, promoter expression as well as cell shape changed to patterns characteristic of the A204 cell line. Nuclear factors expressed by these clones were also characteristic of the A204 line.</p

General relativistic effects on neutrino-driven wind from young, hot neutron star and the r-process nucleosynthesis

Neutrino-driven wind from young hot neutron star, which is formed by supernova explosion, is the most promising candidate site for r-process nucleosynthesis. We study general relativistic effects on this wind in Schwarzschild geometry in order to look for suitable conditions for a successful r-process nucleosynthesis. It is quantitatively discussed that the general relativistic effects play a significant role in increasing entropy and decreasing dynamic time scale of the neutrino-driven wind. Exploring wide parameter region which determines the expansion dynamics of the wind, we find interesting physical conditions which lead to successful r-process nucleosynthesis. The conditions which we found realize in the neutrino-driven wind with very short dynamic time scale $\tau_{\rm dyn} \sim 6$ ms and relatively low entropy $S \sim 140$. We carry out the $\alpha$-process and r-process nucleosynthesis calculation on these conditions by the use of our single network code including over 3000 isotopes, and confirm quantitatively that the second and third r-process abundance peaks are produced in the neutrino-driven wind.Comment: Accepted for publication in Ap

A nonlinear parametric model based on a power law relationship for predicting the coastal tsunami height

When a subduction-zone earthquake occurs, the tsunami height must be predicted to cope with the damage generated by the tsunami. Therefore, tsunami height prediction methods have been studied using simulation data acquired by large-scale calculations. In this research, we consider the existence of a nonlinear power law relationship between the water pressure gauge data observed by the Dense Oceanfloor Network System for Earthquakes and Tsunamis (DONET) and the coastal tsunami height. Using this relationship, we propose a nonlinear parametric model and conduct a prediction experiment to compare the accuracy of the proposed method with those of previous methods and implement particular improvements to the extrapolation accuracy