Search

The Coordinated Research Project of the International Atomic Energy Agency (IAEA CRP-F41032) was launched with a goal to publish two compilations of an updated photonuclear data library and a reference database of photon strength functions. The PHOENIX (PHOto-Excitation and Neutron emIssion cross [X] sections) Collaboration has been established for the IAEA-CRP in the γ-ray beam line GACKO (GAmma Collaboration hutch of KOnan university) of the NewSUBARU synchrotron radiation facility in Japan. The collaboration provides (; xn) cross-section data to resolve the long-standing discrepancy between the Livermore and Saclay data on partial photoneutron cross sections. For the IAEA-CRP, a flat-efficiency neutron detector (FED) for (γxn) cross-section measurements was developed. The detector consists of ³He counters arranged in three concentric rings embedded in a polyethylene moderator. Due to the fact that the efficiency of the detector is constant for the neutron energies up to several MeV, it is possible to determine the partial photoneutron reactions cross sections using direct neutron-multiplicity sorting technique. The paper gives details of the experimental setup and data analysis, and preliminary results of total neutron-production cross sections in monochromatic approximation for 165Ho nucleus. [ABSTRACT FROM AUTHOR]

Surface atmospheric electric field (AEF) measurements were conducted using a Kelvin water dropper equalizer by the Japan Meteorological Agency's geomagnetic observatory at Kakioka, Ibaraki Prefecture, Japan, from 1929 to February 28, 2021. To obtain AEF data successive to the water dropper measurement, we independently installed the field mills at Kakioka. In this present study, we estimated the calibration coefficients based on comparisons between the water dropper and the field mills through parallel observations over 3 days. The results revealed that the new observations could be regarded as continuous data. Our new data from the field mills in this study have begun the process of being distributed in GLObal Coordination of Atmospheric Electricity Measurements (GloCAEM) as both archived and real‐time data in 1 min and 1 s samplings. [ABSTRACT FROM AUTHOR]

This review article describes the current status of data archiving and computational infrastructure in the field of genomic medicine, focusing primarily on the situation in Japan. I begin by introducing the status of supercomputer operations in Japan, where a high-performance computing infrastructure (HPCI) is operated to meet the diverse computational needs of science in general. Since this HPCI consists of supercomputers of various architectures located across the nation connected via a high-speed network, including supercomputers specialized in genome science, the status of its response to the explosive increase in genomic data, including the International Nucleotide Sequence Database Collaboration (INSDC) data archive, is explored. Separately, since it is clear that the use of commercial cloud computing environments needs to be promoted, both in light of the rapid increase in computing demands and to support international data sharing and international data analysis projects, I explain how the Japanese government has established a series of guidelines for the use of cloud computing based on its cybersecurity strategy and has begun to build a government cloud for government agencies. I will also carefully consider several other issues of user concern. Finally, I will show how Japan's major cloud computing infrastructure is currently evolving toward a multicloud and hybrid cloud configuration. Genomics: Cloud environments for data analysis in Japan An overview of the computational infrastructure available for genomic research in Japan highlights the importance of establishing hybrid cloud computing platforms. The enormous growth of genomic data necessitates a corresponding increase in computational infrastructure for analyses. A review by Osamu Ogasawara of Japan's National Institute of Genetics, Shizuoka, Japan, highlights the strengths and challenges in the country's computational infrastructure. Several powerful supercomputers are linked to universities by a high-speed network for transferring large data sets. Commercial cloud services also provide on-demand availability, easy international collaboration, and reproducible workflows. However, the cloud market is dominated by three vendors, and there are concerns about privacy and data security. Ogasawara advocates a hybrid cloud approach allowing for on-premise analyses and movement between vendors, and notes that the government is developing a multi-cloud environment for domestic institutes. [ABSTRACT FROM AUTHOR]

This review introduces the National Hospital Organization (NHO) database in Japan. The NHO has maintained two databases through a system of data collection from 140 hospitals in the NHO. National Hospital Organization Clinical Data Archives (NCDA) is collecting clinical information in real time from the electronic medical records since January 2016, and Medical Information Analysis (MIA) databank is collecting daily insurance claims data since April 2010. The NHO database covers more than 8 million patients in 140 hospitals throughout Japan. The database consists of the information of patient profiles, hospital admission and discharge, diagnosis with ICD-10 codes, text data from medical chart, daily health insurance claims such as medical procedures, medications or surgeries, vital signs and laboratory data, and so on. The NHO database includes a wide variety of diseases and settings, including acute, chronic and intractable diseases, emergency medical services, disaster medicine, response to emerging infectious disease outbreaks, medical care according to health policies such as psychiatry, tuberculosis, or muscular dystrophy, and health systems in sparsely populated non-urban areas. Among several common diseases, the database has representativeness in terms of age distribution compared with the Patient Survey 2017 by the Ministry of Health, Labour and Welfare. Interested researchers can contact ([email protected]) the NHO database division to obtain more information about the NHO database for utilization. [ABSTRACT FROM AUTHOR]