Effect of process recording and self-compassion on self-focus: A pre-post interventional pilot study

Research Problem/aim: This study examined whether process recording increases self-focus, and whether this effect is moderated by self-compassion. Methods: Participants included 31 undergraduates in Tokyo. A pre-post-test design was used. Participants completed measures including self-focus and self-compassion before and after process recording. Participants were divided into high and low self-compassion groups. Findings: Overall, the mean rumination and reflection scores were 42.0 and 37.9, respectively, at pre-intervention. The low self-compassion group (n = 14) showed no significant changes in either subscale. The high self-compassion group (n = 17) showed a significant reduction in rumination. Conclusions: Overall, process recording does not influence self-focus, but does reduce rumination in those with high self-compassion. Enhancing self-compassion is needed before using process recording to prevent excessive rumination

Dual chiral density waves in nuclear matter

We study inhomogeneous chiral phases in nuclear matter using a hadronic model with the parity doublet structure. With an extended ansatz for the dual chiral density wave off the chiral limit, we numerically determine the phase structure. A new type of dual chiral density wave where the condensate has nonvanishing space average is confirmed and it comes to occupy a wide range of low density region as the chiral invariant mass parameter is lowered.Comment: 7 pages, 5 eps figures, contribution to "QCD@Work 2018", International Workshop on QCD Theory and Experiment. 25-28 June 2018, Matera, Ital

The meteorological condition for larger avalanches at Senjojiki Bowl in Japanese Central Alps

The Senjojiki Bowl has a typical avalanche terrain consisting of8 avalanche tracks. During the last 25 years 16 alpinists and ropeway workers in total have been killed by avalanches. Since no reliable avalanche warning is issued by the Meteorological Agency, the ropeway company and an alpine guide has collected data on avalanches in the bowl since 1987 forthe safety oftheir guests. Using the data over the last three winters, we have analyzed the meteorological conditions leading to larger avalanches descending. It was Dund that the larger avalanches occurred only under the Dllowing simple conditions: l. cold snow storm type in high-winter, 2. warmer snowy type in high-winter, 3. wet snowy type in late winter and 4. rain storm type

Invariant Tensor Feature Coding

We propose a novel feature coding method that exploits invariance. We consider the setting where the transformations that preserve the image contents compose a finite group of orthogonal matrices. This is the case in many image transformations, such as image rotations and image flipping. We prove that the group-invariant feature vector contains sufficient discriminative information when learning a linear classifier using convex loss minimization. From this result, we propose a novel feature modeling for principal component analysis and k-means clustering, which are used for most feature coding methods, and global feature functions that explicitly consider the group action. Although the global feature functions are complex nonlinear functions in general, we can calculate the group action on this space easily by constructing the functions as the tensor product representations of basic representations, resulting in the explicit form of invariant feature functions. We demonstrate the effectiveness of our methods on several image datasets.Comment: 14 pages, 5 figure