Dynamical Networks in Function Dynamics

As a first step toward realizing a dynamical system that evolves while spontaneously determining its own rule for time evolution, function dynamics (FD) is analyzed. FD consists of a functional equation with a self-referential term, given as a dynamical system of a 1-dimensional map. Through the time evolution of this system, a dynamical graph (a network) emerges. This graph has three interesting properties: i) vertices appear as stable elements, ii) the terminals of directed edges change in time, and iii) some vertices determine the dynamics of edges, and edges determine the stability of the vertices, complementarily. Two aspects of FD are studied, the generation of a graph (network) structure and the dynamics of this graph (network) in the system.Comment: 29 pages, 10 figure

A Study to Optimize Heterogeneous Resources for Open IoT

Recently, IoT technologies have been progressed, and many sensors and actuators are connected to networks. Previously, IoT services were developed by vertical integration style. But now Open IoT concept has attracted attentions which achieves various IoT services by integrating horizontal separated devices and services. For Open IoT era, we have proposed the Tacit Computing technology to discover the devices with necessary data for users on demand and use them dynamically. We also implemented elemental technologies of Tacit Computing. In this paper, we propose three layers optimizations to reduce operation cost and improve performance of Tacit computing service, in order to make as a continuous service of discovered devices by Tacit Computing. In optimization process, appropriate function allocation or offloading specific functions are calculated on device, network and cloud layer before full-scale operation.Comment: 3 pages, 1 figure, 2017 Fifth International Symposium on Computing and Networking (CANDAR2017), Nov. 201

Functional Dynamics I : Articulation Process

The articulation process of dynamical networks is studied with a functional map, a minimal model for the dynamic change of relationships through iteration. The model is a dynamical system of a function $f$, not of variables, having a self-reference term $f \circ f$, introduced by recalling that operation in a biological system is often applied to itself, as is typically seen in rules in the natural language or genes. Starting from an inarticulate network, two types of fixed points are formed as an invariant structure with iterations. The function is folded with time, until it has finite or infinite piecewise-flat segments of fixed points, regarded as articulation. For an initial logistic map, attracted functions are classified into step, folded step, fractal, and random phases, according to the degree of folding. Oscillatory dynamics are also found, where function values are mapped to several fixed points periodically. The significance of our results to prototype categorization in language is discussed.Comment: 48 pages, 15 figeres (5 gif files

Spin current and magneto-electric effect in non-collinear magnets

A new microscopic mechanism of the magneto-electric (ME) effect based on the spin supercurrent is theoretically presented for non-collinear magnets. The close analogy between the superconductors (charge current) and magnets (spin current) is drawn to derive the distribution of the spin supercurrent and the resultant electric polarization. Application to the spiral spin structure is discussed.Comment: 5 pages, 2 figure

Evi1 is essential for hematopoietic stem cell self-renewal, and its expression marks hematopoietic cells with long-term multilineage repopulating activity

A new mouse in which an IRES-GFP cassette is knocked-in to the Evi1 locus reveals that HSC long-term multilineage repopulating activity specifically segregates with expression of the Evi1 transcription factor

Association between Excessive Alcohol Use and Alcohol-Related Injuries in College Students: A Multi-Center Cross-Sectional Study in Japan

Alcohol-related injuries in college students are a major public health problem worldwide. We clarified the association between excessive drinking and alcohol-related injuries in Japanese college students. This was a cross-sectional study with a self-administered questionnaire. From January to March 2013, we sampled all college students and graduate students aged 20 years or older during annual health examinations at three colleges in Mie Prefecture in Japan. The questionnaire assessed the frequency of alcohol drinking, amount of alcohol consumed per day, binge drinking during the past year, alcohol-related injuries during the past year, and demographic data. Logistic regression analysis was conducted on the association between excessive alcohol use and alcohol-related injuries. A total of 2,842 students underwent health examinations, of whom 2,177 (76.6%) completed the questionnaire. Subjects included 1,219 men (56.0%) and 958 women (44.0%). Eighty-eight men (7.2%) and 93 women (9.7%) were classified as excessive weekly drinkers, while 693 men (56.8%) and 458 women (47.8%) were determined to be binge drinkers. Eighty-one men (6.6%) and 26 women (2.7%) had experienced alcohol-related injuries during the past year. In the logistic regression analysis, binge drinkers (odds ratio 25.6 [8.05-81.4]) and excessive weekly drinkers (odds ratio 3.83 [2.41-6.09]) had a history of significantly more alcohol-related injuries, even after adjusting for age and sex. In conclusion, alcohol-related injuries in college students in Japan were strongly associated with excessive drinking. As a strategy for preventing such injuries in this population, an interventional study is required to identify effective methods for reducing excessive alcohol use