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Sages, Sinners, and the Vernacularization of Buddhism in Nihon ryĹŤiki
Nihon ryōiki is known as the earliest extant Buddhist anecdotal collection in Japan. Very little is known about its compiler, a monk named Kyōkai who belonged to the lower aristocracy and was active in the provinces rather than at the central court. Nihon ryōiki was compiled to keep a record of the miraculous events occurred in Japan. Like the tales documented in Buddhist sutras and Chinese anecdotal collections, Kyōkai insisted that similar events had happened in Japan in different ages and areas. Evidence of such miraculous events indicated, in Kyōkai’s view, that Japan, like India and China, was a land that deserved the Buddha’s salvation. Nihon ryōiki makes the case that the reason miraculous events occurred equally in Japan is the existence of Japanese sages of great virtue who were not inferior to Chinese sages. Although the reliability of the historical accounts in Nihon ryōiki is somewhat questionable, I am not interested in whether the Nihon ryōiki stories have any basis in reality, but rather in what has been changed and why the changes have been made. Stories that are adaptations from sutras or Chinese sources have been modified and adapted to become miraculous events that supposedly occurred in Japan. In the first chapter, I discuss how Kyōkai establishes a Japanese lineage of sagehood as evidence of Japan being a sacred land. In the second chapter, I focus on Prince Nagaya, who is depicted as a sinner who receives the penalty of death because he is unable to identify a “hidden sage”. In the third chapter, I examine the historical context of the Chinese monk Jianzhen’s arrival at Japan and introduce how Tiantai teachings were promoted by Jianzhen’s disciples, how a tale that asserted Prince Shōtoku was a reincarnation of monk Huisi spread. I also make a comparison between the Nihon ryōiki and a Chinese anecdotal collection titled Min bao ji to examine how Chinese influences are vernacularized and changed. Nihon ryōiki adopts a deliberate and consistent policy of vernacularizing its Chinese sources by changing key details in the stories and thereby adapting them to a Japanese context
Behavioral investment strategy matters: a statistical arbitrage approach
In this study, we employ a statistical arbitrage approach to demonstrate that momentum investment strategy tend to work better in periods longer than six months, a result different from findings in past literature. Compared with standard parametric tests, the statistical arbitrage method produces more clearly that momentum strategies work only in longer
formation and holding periods. Also they yield positive significant returns in an up market, but negative yet insignificant returns in a down market. Disposition and over-confidence effects are important factors contributing
to the phenomenon. The over-confidence effect seems to dominate the disposition effect, especially in an up market. Moreover, the over-confidence investment behavior of institutional investors is the main cause for significant momentum returns observed in an up market. In a down market, the institutional investors tend to adopt a contrarian strategy while the individuals are still maintaining momentum behavior within shorter periods. The behavior difference between investor groups explains in part why momentum strategies work differently between up and down
market states. Robustness tests confirm that the momentum returns do not come from firm size, overlapping execution periods, market states definition or market frictions
High order quantum decoherence via multi-particle amplitude for boson system
In this paper we depict the high order quantum coherence of a boson system by
using the multi-particle wave amplitude, whose norm square is just the high
order correlation function. This multi-time amplitude can be shown to be a
superposition of several "multi-particle paths". When the environment or a
apparatus entangles with them to form a generalized "which-way" measurement for
many particle system, the quantum decoherence happens in the high order case
dynamically. An explicit illustration is also given with an intracavity system
of two modes interacting with a moving mirror.Comment: 7 pages, revtex, 4 eps figure
Developmental Acquisition of Regulomes Underlies Innate Lymphoid Cell Functionality
Innate lymphoid cells (ILCs) play key roles in host defense, barrier integrity, and homeostasis and mirror adaptive CD4(+) T helper (Th) cell subtypes in both usage of effector molecules and transcription factors. To better understand the relationship between ILC subsets and their Th cell counterparts, we measured genome-wide chromatin accessibility. We find that chromatin in proximity to effector genes is selectively accessible in ILCs prior to high-level transcription upon activation. Accessibility of these regions is acquired in a stepwise manner during development and changes little after in vitro or in vivo activation. Conversely, dramatic chromatin remodeling occurs in naive CD4(+) T cells during Th cell differentiation using a type-2-infection model. This alteration results in a substantial convergence of Th2 cells toward ILC2 regulomes. Our data indicate extensive sharing of regulatory circuitry across the innate and adaptive compartments of the immune system, in spite of their divergent developing pathways
Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction
State-of-the-art single-view 360-degree room layout reconstruction methods
formulate the problem as a high-level 1D (per-column) regression task. On the
other hand, traditional low-level 2D layout segmentation is simpler to learn
and can represent occluded regions, but it requires complex post-processing for
the targeting layout polygon and sacrifices accuracy. We present Seg2Reg to
render 1D layout depth regression from the 2D segmentation map in a
differentiable and occlusion-aware way, marrying the merits of both sides.
Specifically, our model predicts floor-plan density for the input
equirectangular 360-degree image. Formulating the 2D layout representation as a
density field enables us to employ `flattened' volume rendering to form 1D
layout depth regression. In addition, we propose a novel 3D warping
augmentation on layout to improve generalization. Finally, we re-implement
recent room layout reconstruction methods into our codebase for benchmarking
and explore modern backbones and training techniques to serve as the strong
baseline. Our model significantly outperforms previous arts. The code will be
made available upon publication
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