90 research outputs found

    Very Low Nucleation Rates of Glucose Isomerase Crystals under Microgravity in the International Space Station

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    In situ observation of the nucleation and growth of glucose isomerase (GI) crystals under microgravity was conducted using an optical microscope during the first flight of the Advanced Nano Step project undertaken in the International Space Station (ISS). Very low apparent nucleation rates (J’) of GI crystals in the solution and on the substrate of the growth container were confirmed compared with those on the ground. In particular, J’ of GI crystals in the solution were a few times lower than that on the substrate. The growth rates (R) of the {101} faces of GI crystals on the substrate and the apparent growth rates (R’) in the solution were measured. The very low nucleation rates allowed us to successfully measure R at a very high supersaturation region (up to ln(C/Ce) = 6), at which R cannot be measured on the ground

    A broadcasting scheme considering units to play continuous media data

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    A Note on the Disposition of Brain-damaged Inpatients with Mental Deterioration

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    We have made a survey of the dispositions of brain-damaged patients with mental deterioration admitted to the Department of Rehabilitation Medicine of Kawasaki Medical School Hospital between October, 1983 and September, 1985. A multivariate statistical analysis was done to discover some determinant factors for the length of the hospital stay of the patients and their destinations after leaving the hospital

    An Evaluation and Implementation of Rule-Based Home Energy Management System Using the Rete Algorithm

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    In recent years, sensors become popular and Home Energy Management System (HEMS) takes an important role in saving energy without decrease in QoL (Quality of Life). Currently, many rule-based HEMSs have been proposed and almost all of them assume “IF-THEN” rules. The Rete algorithm is a typical pattern matching algorithm for IF-THEN rules. Currently, we have proposed a rule-based Home Energy Management System (HEMS) using the Rete algorithm. In the proposed system, rules for managing energy are processed by smart taps in network, and the loads for processing rules and collecting data are distributed to smart taps. In addition, the number of processes and collecting data are reduced by processing rules based on the Rete algorithm. In this paper, we evaluated the proposed system by simulation. In the simulation environment, rules are processed by a smart tap that relates to the action part of each rule. In addition, we implemented the proposed system as HEMS using smart taps
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