Tangled String for Multi-Scale Explanation of Contextual Shifts in Stock Market

The original research question here is given by marketers in general, i.e., how to explain the changes in the desired timescale of the market. Tangled String, a sequence visualization tool based on the metaphor where contexts in a sequence are compared to tangled pills in a string, is here extended and diverted to detecting stocks that trigger changes in the market and to explaining the scenario of contextual shifts in the market. Here, the sequential data on the stocks of top 10 weekly increase rates in the First Section of the Tokyo Stock Exchange for 12 years are visualized by Tangled String. The changing in the prices of stocks is a mixture of various timescales and can be explained in the time-scale set as desired by using TS. Also, it is found that the change points found by TS coincided by high precision with the real changes in each stock price. As TS has been created from the data-driven innovation platform called Innovators Marketplace on Data Jackets and is extended to satisfy data users, this paper is as evidence of the contribution of the market of data to data-driven innovations.Comment: 16 pages and 7 figures. The author started to write this paper as an extension of the paper [20] in the reference list, but the content came to be changed substantially, not by only minor extension but to a new pape

Effect of wing mass in free flight of a two-dimensional symmetric flapping wing-body model

The effect of wing mass in the free flight of a flapping wing is investigated by numerical simulations based on an immersed boundary-lattice Boltzmann method. We consider a model consisting of two-dimensional symmetric flapping wings with uniform mass density connected by a body represented as a point mass. We simulate free flights of the two-dimensional symmetric flapping wing with various mass ratios of the wings to the body. In free flights without gravity, it is found that the time-averaged lift force becomes smaller as the mass ratio increases, since with a large mass ratio the body experiences a large vertical oscillation in one period and consequently the wing-tip speed relatively decreases. We define the effective Reynolds number Reeff taking the body motion into consideration and investigate the critical value of Reeff over which the symmetry breaking of flows occurs. As a result, it is found that the critical value is Re-eff similar or equal to 70 independently of the mass ratio. In free flights with gravity, the time-averaged lift force becomes smaller as the mass ratio increases in the same way as free flights without gravity. In addition, the unstable rotational motion around the body is suppressed as the mass ratio increases, since with a large mass ratio the vortices shedding from the wing tip are small and easily decay.ArticleFLUID DYNAMICS RESEARCH.49(5):055504(2017)journal articl

An autoencoder-classified cluster of SARS-CoV-2 strain with two mutations in helicase

Using an autoencoder-based analysis to classify genomes of SARS-CoV-2 coronaviruses, we found a cluster consisting only of a specific genotype with two mutations in the helicase. This virus genotype, called C-type SARS-CoV-2, was almost exclusively prevalent in the United States from March to July 2020. This type of virus, characterized by a pair of the C17747T (P504L) and A17858G (Y541C) mutations on the nsp13 gene, had never been highly prevalent at any other time or in any other part of the world. In the U.S., Washington State was the center of the epidemic, and the C-type viruses, along with the viruses with wild-type helicase, seemed to have aroused the pandemic. In Washington State, USA, the CoViD-19 epidemic during the first two months of the year, starting at the end of February 2020, was mainly caused by the type-C virus. During this period, the infection spread rapidly; from May onwards, the number of viruses with wild-type helicases became higher than that of type-C viruses, and no type-C viruses have been collected since early July. The involvement of the helicase in this COVID-19 disease was discussed

On the Estimation Method of Cost of Capital Using the CAPM, the Fama-French Three-Factor model, and the Carhart Four-Factor Model.

本稿では、CAPM, Fama-French3 ファクターモデル, Carhart4 ファクターモデルの３つのモデルを用いて、わが国で資本コストを推定する際に発生する問題点について指摘し、その対処方法を提案している。そして、実際のデータを使って、これらのモデルを用いた資本コストの算定方法を具体的に説明している

TREM2 Expression in Schizophrenia

TREM2 and TYROBP are causal genes for Nasu–Hakola disease (NHD), a rare autosomal recessive disease characterized by bone lesions and early-onset progressive dementia. TREM2 forms a receptor signaling complex with TYROBP, which triggers the activation of immune responses in macrophages and dendritic cells, and the functional polymorphism of TREM2 is reported to be associated with neurodegenerative disorders such as Alzheimer’s disease (AD). The objective of this study was to reveal the involvement of TYROBP and TREM2 in the pathophysiology of AD and schizophrenia. Methods: We investigated the mRNA expression level of the 2 genes in leukocytes of 26 patients with AD and 24 with schizophrenia in comparison with age-matched controls. Moreover, we performed gene association analysis between these 2 genes and schizophrenia. Results: No differences were found in TYROBP mRNA expression in patients with AD and schizophrenia; however, TREM2 mRNA expression was increased in patients with AD and schizophrenia compared with controls (P < 0.001). There were no genetic associations of either gene with schizophrenia in Japanese patients. Conclusion: TREM2 expression in leukocytes is elevated not only in AD but also in schizophrenia. Inflammatory processes involving TREM2 may occur in schizophrenia, as observed in neurocognitive disorders such as AD. TREM2 expression in leukocytes may be a novel biomarker for neurological and psychiatric disorders

Medical Accidents Bigdata 2000-2016

医療先進国のアメリカ，イギリス，日本において生じている医療事故・過誤が報じられている．これらは，単にヒューマンエラーだけでなく，病院組織における医療管理上のシステムエラーによるものも多い．本稿では，実際にあった2000-16の17年間の医療事故をもとに，新聞紙上にランダムに報じられた430件を超える医療事故（過誤を含む）を分析した．そこから，第Ⅰ 部では，新聞紙上で公表された医療事故と過誤を整序（定式化）した．第Ⅱ部は，医療事故439件の凡例に従い，非定型なビッグデータとして 9つの事故原因に分類し，失敗マンダラに視覚化した．第Ⅲ部は，日本医療機能評価機構の取組みと基本文献について紹介した．本研究は，医療機関の医療スタッフや，政府の医療政策を批判するものではなく，近未来に向けてメディカルサービスの‘改善’を狙った研究である．医療事故の社会化は医療先進国の特徴であり，医療の民主化が進んでいる一方，医療の後進国では，医療事故が公表されない傾向があるといえよう．The medical accidents and negligence reported frequently in the medically advanced nations of the United States, United Kingdom, and Japan are widely claimed to have been due not only to ‘human error’ but also to ‘system error’ within the medical management process in hospital organizations. Using ill-structured big-data on actual examples of medical accidents and negligence in the 17 years from 2000 to 2016, the present study analyzed more than 430 medical accidents reported in the pages of newspapers in Japan. The study adopts the following structure: first part, diversibility of medical accidents reported by newspapers with big-data; second part, the causative factors are classified from nine different perspectives using ill-structured big-data on the 439 medical accidents to visualize a ‘failure Mandara’; and third part, Japan Council for Quality Healthcare tackeled with the bibliography of medical accident and healthcare treatment. Rather than criticizing medical staff, hospital organizations and government policy, the aim of the study is to achieve an improvement (Kaizen) in medical care services in the near future for next age. The socialization of medical accidents is a feature of medically advanced nations, accompanying the democratization of medical treatment. On the other hand, in countries with less developed medical treatment systems, there is a tendency for medical accidents not to be publicized.Big-data collaboration: Atsushi NOZAK

A prospective compound screening contest identified broader inhibitors for Sirtuin 1

Potential inhibitors of a target biomolecule, NAD-dependent deacetylase Sirtuin 1, were identified by a contest-based approach, in which participants were asked to propose a prioritized list of 400 compounds from a designated compound library containing 2.5 million compounds using in silico methods and scoring. Our aim was to identify target enzyme inhibitors and to benchmark computer-aided drug discovery methods under the same experimental conditions. Collecting compound lists derived from various methods is advantageous for aggregating compounds with structurally diversified properties compared with the use of a single method. The inhibitory action on Sirtuin 1 of approximately half of the proposed compounds was experimentally accessed. Ultimately, seven structurally diverse compounds were identified