Search Results (5)

Visits to the palace of the sea god are a recurring theme in premodern Japanese narratives, and comparing these stories across time periods reveals shifting perceptions of the supernatural world. The earliest sources for narratives of travel to the palace of the sea god in Japan date from the eighth century, most notably in the stories of Luck of the Mountain and Urashima Tarō. In these stories, the descriptions of the sea god’s palace, the relationship of the sea god to the natural world, and even the location of the palace were tied to eighth-century understandings of kingship, weather, and geography. Later adaptations of these stories incorporate features of Buddhist geography, Chinese architecture, Buddhist narrative motifs, and even an alternative vision of supernatural time. These alterations occurred because the eighth-century narratives required adaptation to fit a new political, social, and religious reality. This comparison demonstrates that our vision of the supernatural world is inextricably tied to our understanding of the natural. When our fundamental grasp of the nature of reality changes, our imagination of the supernatural transforms in turn. Full article

We use house prices (HP) and house price indices (HPI) as a proxy to income distribution. Specifically, we analyze distribution of sale prices in the 1970–2010 window of over 116,000 single-family homes in Hamilton County, Ohio, including Cincinnati metro area of about 2.2 million people. We also analyze distributions of HPI, published by Federal Housing Finance Agency (FHFA), for nearly 18,000 US ZIP codes that cover a period of over 40 years starting in 1980’s. If HP can be viewed as a first derivative of income, HPI can be viewed as its second derivative. We use generalized beta (GB) family of functions to fit distributions of HP and HPI since GB naturally arises from the models of economic exchange described by stochastic differential equations. Our main finding is that HP and multi-year HPI exhibit a negative Dragon King (nDK) behavior, wherein power-law distribution tail gives way to an abrupt decay to a finite upper limit value, which is similar to our recent findings for realized volatility of S&P500 index in the US stock market. This type of tail behavior is best fitted by a modified GB (mGB) distribution. Tails of single-year HPI appear to show more consistency with power-law behavior, which is better described by a GB Prime (GB2) distribution. We supplement full distribution fits by mGB and GB2 with direct linear fits (LF) of the tails. Our numerical procedure relies on evaluation of confidence intervals (CI) of the fits, as well as of p-values that give the likelihood that data come from the fitted distributions. Full article

In this study, we undertake a systematic study of historic market volatility spanning roughly five preceding decades. We focus specifically on the time series of the realized volatility (RV) of the S&P500 index and its distribution function. As expected, the largest values of RV coincide with the largest economic upheavals of the period: Savings and Loan Crisis, Tech Bubble, Financial Crisis and Covid Pandemic. We address the question of whether these values belong to one of the three categories: Black Swans (BS), that is, they lie on scale-free, power-law tails of the distribution; Dragon Kings (DK), defined as statistically significant upward deviations from BS; or Negative Dragons Kings (nDK), defined as statistically significant downward deviations from BS. In analyzing the tails of the distribution with $RV>40$, we observe the appearance of “potential” DK, which eventually terminate in an abrupt plunge to nDK. This phenomenon becomes more pronounced with the increase in the number of days over which the average RV is calculated—here from daily, $n=1$, to “monthly”, $n=21$. We fit the entire distribution with a modified Generalized Beta (mGB) distribution function, which terminates at a finite value of the variable but exhibits a long power-law stretch prior to that, as well as a Generalized Beta Prime (GB2) distribution function, which has a power-law tail. We also fit the tails directly with a straight line on a log-log scale. In order to ascertain BS, DK or nDK behavior, all fits include their confidence intervals and p-values are evaluated for the data points to check whether they can come from the respective distributions. Full article

This paper explores the cinematic meta-theme of the “death of cinema” through the lens of Taiwanese director, Tsai Ming-liang’s 2003 film, Goodbye, Dragon Inn. In the film, the final screening of the wuxia pian classic, Dragon Inn, directed by King Hu, provides a focal point for the exploration of the diminished experience of institutional cinema in the post-cinematic age. Using the concept of “dissipation” in conjunction with a reappraisal of the turn to affect theory, this paper explores the kinds of subjective experiences that cinema can offer, and the affective experience of cinema-going itself, as portrayed in Goodbye, Dragon Inn. More specifically, in theorizing the role of dissipation in cinema-going, this paper explores the deployment of time and space in Goodbye, Dragon Inn and how it directs attention to the bodily action of cinema-going itself. The result is a critique of the possibilities of post-cinematic affects, rooted in an understanding of the way that late-capitalism continues to dominate and shape the range of experiences in the contemporary moment. Full article

Networks of stochastic spiking neurons are interesting models in the area of theoretical neuroscience, presenting both continuous and discontinuous phase transitions. Here, we study fully-connected networks analytically, numerically and by computational simulations. The neurons have dynamic gains that enable the network to converge to a stationary slightly supercritical state (self-organized supercriticality (SOSC)) in the presence of the continuous transition. We show that SOSC, which presents power laws for neuronal avalanches plus some large events, is robust as a function of the main parameter of the neuronal gain dynamics. We discuss the possible applications of the idea of SOSC to biological phenomena like epilepsy and Dragon-king avalanches. We also find that neuronal gains can produce collective oscillations that coexist with neuronal avalanches. Full article