Learn More
—This paper discusses the design optimization of a wing for supersonic transport (SST) using a multiple-objective genetic algorithm (MOGA). Three objective functions are used to minimize the drag for supersonic cruise, the drag for transonic cruise, and the bending moment at the wing root for supersonic cruise. The wing shape is defined by 66 design(More)
Using cDNA microarrays, we have identified elsewhere the genes of microtubule-associated proteins as a group up-regulated in newly hatched chick brains after filial imprinting training. Here we show by in situ hybridization that the mRNA for the microtubule-associated protein 2 (MAP2) gene was enriched in the mesopallium and the hippocampus in the trained(More)
Both TDP-43 pathology and failure of RNA editing of AMPA receptor subunit GluA2, are etiology-linked molecular abnormalities that concomitantly occur in the motor neurons of the majority of patients with amyotrophic lateral sclerosis (ALS). AR2 mice, in which an RNA editing enzyme adenosine deaminase acting on RNA 2 (ADAR2) is conditionally knocked out in(More)
Newly hatched domestic chicks serve as ideal models for studies of the neural basis of behavioral plasticity, particularly for understanding the mechanisms of learning such as filial imprinting. To elucidate the molecular basis and gene functions involved in learning, we developed an in-vivo gene-transfer system in the brain of a living chick using(More)
Evolutionary Algorithms (EAs) based on structured coding have been proposed for aerodynamic optimization of wing design. Fractional factorial design is used to investigate interactions of the design variables to determine the appropriate coding structure for EAs in advance. The present EAs is applied to wing design problems where the wing shape is modeled(More)
Data assimilation is a method of combining an imperfect simulation model and a number of incomplete observation data. Sequential data assimilation is a data assimilation in which simulation variables are corrected at every time step of observation. The ensemble Kalman filter is developed for a sequential data assimilation and frequently used in geophysics.(More)
— Data assimilation in geophysics is a method of combining a numerical simulation model and incomplete observation data. A data assimilation problem can be formulated by an estimation using a nonlinear state space model and can be resolved using the particle filter. In this paper, we give a framework for resolving the correction and identification problem(More)
This study was initiated to identify clinical and dietary parameters that predict efficacy of dipeptidyl peptidase-4 inhibitors. A total of 72 untreated Japanese patients with type 2 diabetes who received DPP-4 inhibitors (sitagliptin, alogliptin or vildagliptin) for 4 months were examined for changes of glycated hemoglobin (HbA1c) and body mass index(More)
To represent both the basin-scale circulation in the ocean and the local small-scale variations at the same time, a high resolution global ocean general circulation model (OGCM) is essential. Recent progress in parallel computing techniques together with the high ability of computer itself makes it possible to use such a high resolution OGCM for climate(More)
To determine the incidence of hepatic diseases in dogs and cats in Japan, a retrospective study was performed using data of 463 canine and 71 feline liver biopsies at the Veterinary Medical Center of the University of Tokyo. The most common canine hepatic disease was microvascular dysplasia (MVD) and occupied 29.4% of all diagnoses. This terminology might(More)