ギンオヨビギンゴウキンケッショウニオケルヘンケイソウショウ

京都大学0048新制・課程博士工学博士甲第1098号工博第254号新制||工||189(附属図書館)2912UT51-46-C988京都大学大学院工学研究科金属加工学専攻(主査)教授 高村 仁一, 教授 足立 正雄, 教授 田村 今男学位規則第5条第1項該当Kyoto UniversityDA

An Analysis of Crystallization Process in Amorphous Alloys Using Time-Scaling Factor

We have investigated the time-scaling properties of the isothermal crystallization process for Cu 66 Ti 34 and Zr 65 Cu 35 amorphous alloys by differential scanning calorimetry. Local atomic structures have also been studied by extended X-ray absorption fine structure (EXAFS) measurements. The results are discussed in comparison with the previous results obtained for metal-metalloid amorphous alloys. The timescaling factor is defined as the time when the crystallization has reached half completion. By rescaling the time axis for each annealing temperatures, the crystallization curves measured at various temperatures for each alloy can be superimposed on a single curve in each case. The Williams-Landel-Ferry formula based on a free-volume consideration gives a universal function for the temperature dependence of the timescaling factor for all the alloys. This suggests that we have to take into account the relaxation process occurring in the amorphous phase during the crystallization. The WLF analysis reveals that there exists a significant difference in the temperature dependence of the scaling factor between the metal-metal and metal-metalloid amorphous alloys. From the EXAFS study, such difference is considered to be due to the local structural differences between those two types of amorphous alloys

Selection of Priority Pesticides in Japanese Drinking Water Quality Regulation : Validity, Limitations, and Evolution of a Risk Prediction Method

Several risk scoring and ranking methods have been applied for the prioritization of micropollutants, including pesticides, and in the selection of pesticides to be regulated regionally and nationally. However, the effectiveness of these methods has not been evaluated in Japan. We developed a risk prediction method to select pesticides that have a high probability of being detected in drinking water sources where no monitoring data is available. The risk prediction method was used to select new pesticides for the 2013 Primary List in the Japanese Drinking Water Quality Guidelines. Here, we examined the effectiveness of the method on the basis of the results of water quality examinations conducted by water supply authorities across Japan, and studied ways to improve the risk prediction method. Of the 120 pesticides in the 2013 Primary List, 80 were detected in drinking water sources (raw water entering water treatment plants). The rates of detection of the newly selected pesticides and previously listed pesticides were not significantly different: 64% and 68%, respectively. When the risk predictor was revised to incorporate degradability of dry-field pesticides and current pesticide sales data, the rate of detection of pesticides selected as having a high risk of detection improved from 72% to 88%. We prepared regional versions of the Primary List using the revised risk predictors and verified their utility. The number of listed pesticides varied greatly by region, ranging from 32 to 73; all regional lists were much shorter than the national Primary List. In addition, 55% to 100% of the pesticides detected in each region were included in a Regional Primary List. This work verifies the ability of the risk prediction method to screen pesticides and select those with a high risk of detection

Selecting pesticides for inclusion in drinking water quality guidelines on the basis of detection probability and ranking

Pesticides released into the environment may pose both ecological and human health risks. Governments set the regulations and guidelines for the allowable levels of active components of pesticides in various exposure sources, including drinking water. Several pesticide risk indicators have been developed using various methodologies, but such indicators are seldom used for the selection of pesticides to be included in national regulations and guidelines. The aim of the current study was to use risk indicators for the selection of pesticides to be included in regulations and guidelines. Twenty-four risk indicators were created, and a detection rate was defined to judge which indicators were the best for selection. The combination of two indicators (local sales of a pesticide for the purposes of either rice farming or other farming, divided by the guideline value and annual precipitation, and amended with the scores from the physical and chemical properties of the pesticide) gave the highest detection rates. In this case study, this procedure was used to evaluate 134 pesticides that are currently unregulated in the Japanese Drinking Water Quality Guidelines, from which 44 were selected as pesticides to be added to the primary group in the guidelines. The detection probability of the 44 pesticides was more than 72%. Among the 102 pesticides currently in the primary group, 17 were selected for withdrawal from the group. (C) 2013 The Authors. Published by Elsevier Ltd. All rights reserved

The Efficacy of Lactulose for the Treatment of Hyperammonemic Encephalopathy Due to Severe Heart Failure

Hyperammonemic encephalopathy secondary to heart failure is rare and there had been little reports about effective treatment. Organ hypoperfusion or congestion by heart failure may lead to various organ dysfunctions, and liver and intestinal circulatory impairment might cause ammonia metabolic failure. Here, we report on the case of a patient with hyperammonemic encephalopathy that was secondary to heart failure, which was effectively treated by lactulose