Research on Externally Pressurized Porous Thrust Gas Bearing with Supply Hole

In this research, the characteristics of an externally pressurized porous circular thrust bearing with a supply hole on its center is investigated. In the analysis, the hypothesis of equivalent film thickness is applied to the flow in the porous media. Dynamic performances are obtained theoretically for various controllable parameters. The theoretical results show a comparatively good conformity with the experimental results. It is proved that, by providing a supply hole, desirable perfornamces can be obtained over wide operating conditions. The results attained in this research may allow the designers to get optimal design conditions

Genome-wide meta-analysis identifies multiple novel loci associated with serum uric acid levels in Japanese individuals

Gout is a common arthritis caused by elevated serum uric acid (SUA) levels. Here we investigated loci influencing SUA in a genome-wide meta-analysis with 121,745 Japanese subjects. We identified 8948 variants at 36 genomic loci (P<5 × 10–8) including eight novel loci. Of these, missense variants of SESN2 and PNPLA3 were predicted to be damaging to the function of these proteins; another five loci—TMEM18, TM4SF4, MXD3-LMAN2, PSORS1C1-PSORS1C2, and HNF4A—are related to cell metabolism, proliferation, or oxidative stress; and the remaining locus, LINC01578, is unknown. We also identified 132 correlated genes whose expression levels are associated with SUA-increasing alleles. These genes are enriched for the UniProt transport term, suggesting the importance of transport-related genes in SUA regulation. Furthermore, trans-ethnic meta-analysis across our own meta-analysis and the Global Urate Genetics Consortium has revealed 15 more novel loci associated with SUA. Our findings provide insight into the pathogenesis, treatment, and prevention of hyperuricemia/gout

DR-nets : data-reconstruction networks for highly reliable parallel-disk systems

リサーチレポート（北陸先端科学技術大学院大学情報科学研究科）本文は図書館に配架されています。 / This material is stored in the JAIST library

A Parallel Optimistic Dynamic Optimization of Discrimination Networks for Active Databases

Abstract An active database system integrates a database manage- ment system with a rule base system. It is capable of handling a lot of enhanced functionality of databases by triggering off appropriate actions ordained by predefined rules for database events such as queries, and updates the database. However, the active database has a disadvantage in per- formance because checking rule conditions are considerably slow due to a large number of comparison among items. Therefore, some kind of mechanism for speeding up the rule checking process is in great demand for improving the overall performance of an active database. Some active databases make use of discrimination networks to improve the speed of checking rule conditions, but it is not still sufficient. In this paper, we propose a parallel query optimization method and its timing modes for a TREAT-like discrim- ination network in our parallel active relational database prototype system, named Parade. The TREAT-like dis- crimination network can be treated as a set of query trees. In this case, the query trees are used repeatedly, and they can be optimized not just for the current condition check but also for the future ones. Thus the cost of the opti- mization can be hidden by parallel execution of the query tree and its corresponding optimization. Although the pro- posed method requires extra-processors for optimization, it makes good use of parallel machines, and can derive an optimal query tree as the state of databases changes. We also show the experimental results of the proposed metho