Upper Bound on the Decay τ→μγ from the Belle Detector

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ON THE IMBEDDING OF POLYHEDRA IN MANIFOLDS

application/pdfdepartmental bulletin pape

SIMULATION OF EARTHQUAKE GROUND MOTIONS USING A SEISMOLOGICAL MODEL

This paper describes digital simulation methods of strong earthquake ground motions using a seismological model. The methods described in this paper are based on the spectral representation of stochastic wave in conjunction with the seismological stochastic source model with ω^-2 property and the representation theorem of elastodynamics. Numerical examples demonstrate an applicability of the proposed methods into prediction of strong earthquake ground motions in areas where strong-motion data are sparse

サービス産業の企業行動についての一考察

2009-03The purposes of this paper are to investigate the action of service facilities in a limited region, and to find a desirable action in the region. First conclusion of this analysis shows that monopolistic case is more desirable than duopolistic case in the situation which the marginal cost of service is higher than its marginal benefit and the market areas between facilities are overlapping. Second, we find the result that, in the case which the cost of service is lower than its benefit, it is possible that duopolistic case is as desirable as monopolistic case or is more desirable in the region. Third, comparing between the case that duopolistic market areas are separating and the one that they are overlapping in this situation, the latter can be more desirable for the region, though the former is always more for firms' profit.departmental bulletin pape

Digital Simulation of Ground Motions using Stochastic Green's Function and Its Verififation

The simulation of ground motions from large earthquakes has been attempted by a number of authors by using small earthquakes as Green's functions and summing them. The discussions of previous authors have been framed by using recorded motions for the small earthquakes. In this paper, the motions for the small earthquakes are produced by a stochastic point source model with ω^-2 property. By summing the simulated motions and making use of the scaling relations between large and small earthquakes, the ground motions from an extended rupture too large to be treated as a point source model are simulated. To show a verification of the proposed method, the simulated ground motions are compared with the recorded ground motions

Engineering Simulation Of Ground Motions From An Extended Rupture

This paper describes digital simulation methods of strong earthquake ground motions using a seismological model. The methods described in this paper are based on the spectral representation of stochastic wave in conjunction with the seismological stochastic source model with ω^-2 property and the representation theorem of elastodynamics. Numerical examples demonstrate an applicability of the proposed methods into prediction of strong earthquake ground motions in area where strong-motion data are sparse

Digital Simulation Of Earthquake Ground Motions Using A Seismological Model

確率過程理論に基づく強震動のシミュレーションモデルでは、強震動の振動数特性や非定常性はパワースペクトル密度関数やその時間的変化を表わす関数によってモデル化される。本研究では、地震の物理に基づく理論的方法によってこれらの関数をモデル化する。小地震による地震動モデルでは地震の物理に基づく理論的方法と経験的方法を併用してモデル化している。大地震による強震動モデルでは地震断層を含む地盤における波動場の定式化に基づき、地震断層の破壊伝播や観測点との幾何学的関係が考慮される。計算例により、強震記録が希薄な地域での強震動の予測に本研究のモデルを適用する方法を説明するとともに、本研究のモデルの特徴を示す

Relation between classes and population descriptors.

<p>The classes are represented on the axis. For each class, the boxplot shows the distribution of population descriptors among the fields of this class. Outlier classes were removed. The cell count descriptor has a similar distribution for classes 2 and 3, but other descriptors also allow to differentiate them. Similarly, classes 3 and 5 have have a similar proportion of apoptotic cells, but other descriptors also allow to differentiate them. More generally, each descriptor separates different classes. This suggests that there is no redundancy between population descriptors, and that the classes reflect the combinatorial association between population descriptors.</p

Negative control outliers.

<p>Bivariate scatter plots of negative controls. The red points correspond to fields belonging to small classes. They were indeed considered as outliers after checking the images (they were found to be irrelevant). Enough of these wells were present in the dataset so that separate classes were inferred by the model to account for this atypical behaviour.</p

Supplementary Table 7 from Landscape of Combination Immunotherapy and Targeted Therapy to Improve Cancer Management

Copy-number, expression and mutation comparision for MET, ERBB2, PTEN, NF2</p