地球環境デジタルライブラリの構築手法に関する研究

University of Tokyo (東京大学

Data Integration and Analysis System (DIAS) as a Platform for Data and Model Integration: Cases in the Field of Water Resources Management and Disaster Risk Reduction

The development of data and model integration platforms has furthered scientific inquiry and helped to solve pressing social and environmental problems. While several e-infrastructure platforms have been developed, the concept of data and model integration remains obscure, and these platforms have produced few firm results. This article investigates data and model integration on the Data Integration and Analysis System (DIAS) platform, using three case projects from water-related fields. We provide concrete examples of data and model integration by analyzing the data transfer and analysis process, and demonstrate what platform functions are needed to promote the advantages of data and model integration. In addition, we introduce the Digital Object Identifier (DOI), a valuable tool for promoting data and model integration and open science. Our investigation reveals that DIAS advances data and model integration in five main ways: it is a “sophisticated and robust integration platform”; has “rich APIs, including a metadata management system, for high-quality data archive and utilization”; functions as a “core hydrological model”; and promotes a “collaborative R&D community” and “open science and data repositories”. This article will appeal especially to researchers interested in new methods of analysis, and information technology experts responsible for developing e-infrastructure systems to support environmental and scientific research

Data Integration and Analysis System (DIAS) as a platform for data and model integration: Cases in the field of water resources management and disaster risk reduction

The development of data and model integration platforms has furthered scientific inquiry and helped to solve pressing social and environmental problems. While several e-infrastructure platforms have been developed, the concept of data and model integration remains obscure, and these platforms have produced few firm results. This article investigates data and model integration on the Data Integration and Analysis System (DIAS) platform, using three case projects from water-related fields. We provide concrete examples of data and model integration by analyzing the data transfer and analysis process, and demonstrate what platform functions are needed to promote the advantages of data and model integration. In addition, we introduce the Digital Object Identifier (DOI), a valuable tool for promoting data and model integration and open science. Our investigation reveals that DIAS advances data and model integration in five main ways: it is a "sophisticated and robust integration platform"; has "rich APIs, including a metadata management system, for high-quality data archive and utilization"; functions as a "core hydrological model"; and promotes a "collaborative R&D community" and "open science and data repositories". This article will appeal especially to researchers interested in new methods of analysis, and information technology experts responsible for developing e-infrastructure systems to support environmental and scientific research

AMY coordinated observations, reanalysis and data management

Proceedings of GRENE 3rd Workshop (17-19 March, 2014, Bali, Indonesia

Randomised controlled pilot study in Japan comparing a home visit program using a Functioning Improvement Tool with a home visit with conversation alone

Objective: This study aimed to determine the effect of a home visit program using a Functioning Improvement Tool (FIT) compared with a home visit using conversation alone. Methods: Twenty-eight participants (mean age, 78.6±7.5 years) were randomly assigned to an intervention (n = 13) or control (n = 15) group for 3 months. The intervention group received a 60-minute FIT home visit program; the control group received a 30-minute home visit using common conversational techniques. Mini-Mental State Examination (MMSE), Frontal Assessment Battery (FAB), and Geriatric Depression Scale (GDS) scores were evaluated. Results: The FAB score was significantly improved in the intervention group compared with the control group (2.5 vs -0.5, P = 0.02). Conclusions: Our FIT home visit program may help prevent dementia. Further studies with larger samples and longer follow-up periods are needed to assess the long-term effectiveness of an FIT home visit program on dementia prevention (UMIN-CTR number, UMIN000004767.

A randomized controlled trial of a Functioning Improvement Tool home-visit program and its effect on cognitive function in older persons

Objective: The aim was to determine whether mini mental state examination (MMSE) scores improved in older participants of a Functioning Improvement Tool (FIT) home-visit program. Methods: Two hundred fifty-two participants aged 65 years or older living at home and receiving preventive services or a community long-term care prevention project according to the Japanese social long-term care insurance system were enrolled and randomly assigned to an intervention group (n = 128) or a control group (n = 124). Intervention group subjects received a 60-min FIT home-visit program for 3 months, which included guidance, assistance, and help in writing and teaching calculation in order to complete the FIT. Control subjects did not receive any home visits. Cognitive function was evaluated by MMSE. Analysis of covariance was used to examine the effects of the FIT adjusting for baseline MMSE scores, age, and sex. Results: Fifty-three subjects were excluded because of withdrawal, hospitalization, death, relocation, or missing data of MMSE; 199 subjects (60 men, 139 women; age 78.6 ± 7.4 years) were analyzed. The baseline MMSE scores did not differ between the intervention and control groups (24.2 ± 4.3 vs. 24.1 ± 4.7, p = 0.90). After the study period, the change in the MMSE score was significantly better in the intervention group than in the control group (0.8 ± 0.3 vs. −0.1 ± 0.2, p = 0.04). Stratified analyses showed that the intervention strategy was most effective in subjects with mild cognitive decline, with baseline MMSE scores from 18 to 23 points (1.9 ± 0.5 vs. −0.1 ± 2.8, p = 0.04). Conclusions: Our FIT home-visit program improved MMSE scores in older participants with mild cognitive decline

Development of a Simultaneous Optical / PET Imaging System for Awake

Simultaneous measurements of multiple physiological parameters are essential for the study of brain disease mechanisms and the development of suitable therapies to treat them. In this study, we developed a measurement system for simultaneous optical imaging and PET for awake mice. The key elements of this system are the OpenPET, optical imaging and fixation apparatus for an awake mouse. The OpenPET is our original open-type PET geometry, which can be used in combination with another device because of the easily accessible open space of the former. A small prototype of the axial shift single-ring OpenPET was used. The objective lens for optical imaging with a mounted CCD camera was placed inside the open space of the AS-SROP. Our original fixation apparatus to hold an awake mouse was also applied. As a first application of this system, simultaneous measurements of cerebral blood flow (CBF) by laser speckle imaging (LSI) and [11C]raclopride-PET were performed under control and 5% CO2 inhalation (hypercapnia) conditions. Our system successfully obtained the CBF and [11C]raclopride radioactivity concentration simultaneously. Accumulation of [11C]raclopride was observed in the striatum where the density of dopamine D2 receptors is high. LSI measurements could be stably performed for more than 60 minutes. Increased CBF induced by hypercapnia was observed while CBF under the control condition was stable. We concluded that our imaging system should be useful for investigating the mechanisms of brain diseases in awake animal models