Takashi Isobe

Statistical methods for calculating correlations and regressions in bivariate censored data where the dependent variable can have upper or lower limits are presented. Cox's regression and the generalization of Kendall's rank correlation coefficient provide significant levels of correlations, and the EM algorithm, under the assumption of normally distributed errors, and its nonparametric analog using the Kaplan-Meier estimator, give estimates for the slope of a regression line. Monte Carlo simulations demonstrate that survival analysis is reliable in determining correlations between luminosities at different bands. Survival analysis is applied to CO emission in infrared galaxies, X-ray emission in radio galaxies, H-alpha emission in cooling cluster cores, and radio emission in Seyfert galaxies.

The frequency of monoclonal immunoglobulins and Bence-Jones proteins was studied in 100 cases of amyloidosis classified according to the patterns of distribution of amyloid. Monoclonal immunoglobulins, Bence-Jones proteins (or both) were documented in all 50 Pattern I ("primary-type") cases, nine of 17 Pattern II ("secondary-type") cases, 26 of 30 Mixed Pattern I and II cases and in all three cases of localized amyloidosis. Forty-six per cent of the patients with amyloidosis (all patterns) had Bence-Jones protein only, without a monoclonal immunoglobulin, as compared with 21 per cent of cases of myeloma without associated amyloidosis. There was a higher proportion of λ-type Bence-Jones proteins in the amyloidosis group, and amyloid-related proteins were relatively more anionic than nonamyloid-related proteins. It is postulated that amyloid-related monoclonal immunoglobulins and Bence-Jones proteins may be autoantibodies or fragments of autoantibodies directed against normal tissue constituents. (N Engl J Med 290:473–477, 1974)

Video super-resolution, which aims at producing a high-resolution video from its corresponding low-resolution version, has recently drawn increasing attention. In this work, we propose a novel method that can effectively incorporate temporal information in a hierarchical way. The input sequence is divided into several groups, with each one corresponding to a kind of frame rate. These groups provide complementary information to recover missing details in the reference frame, which is further integrated with an attention module and a deep intra-group fusion module. In addition, a fast spatial alignment is proposed to handle videos with large motion. Extensive results demonstrate the capability of the proposed model in handling videos with various motion. It achieves favorable performance against state-of-the-art methods on several benchmark datasets.