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Kim, H.,Park, K.,Oh, S.,Chang, I.S. Blackwell Publishing Ltd 2009 Journal of applied microbiology Vol.107 No.5
<P>Abstract</P><P>Aims: </P><P>To see the possibility of particle size distribution analyser (PSDA) in detecting concentration of lactobacillus contaminants in yeast fermentation.</P><P>Methods and Results: </P><P>A PSDA was used to rapidly determine the size and concentration of lactobacillus and <I>Saccharomyces cerevisiae</I>. Data showed that the aerodynamic diameters of <I>Lactobacillus casei</I> and <I>S. cerevisiae</I> cells were around 0·63 and 2·9 &mgr;m, respectively, with both cultures showing a linear relationship between cell density and particle count on a size distribution curve of PSDA. In addition, <I>Lactobacillus fermentum</I> showed high similarity in bacterial size distribution and particle count numbers with <I>L. casei</I>. The PSDA also rapidly detected (within 1 min) the cell concentrations of <I>S. cerevisiae</I> and <I>L. casei</I> in a mixed sample with different concentration ratios with 10<SUP>7</SUP>–10<SUP>9</SUP> cells ml<SUP>−1</SUP> of detection range.</P><P>Conclusions: </P><P>PSDA was demonstrated to be useful for the rapid detection of lactobacillus and <I>S. cerevisiae</I> concentrations.</P><P>Significance and Impact of the Study: </P><P>This is the first report concerning PSDA to detect the concentration of bacteria and yeast. This method can be useful in the actual field during ethanol fermentation because of relatively easy handling and rapid detection.</P>
Bayesian demand model based seismic vulnerability assessment of a concrete girder bridge
Bayat, M.,Kia, M.,Soltangharaei, V.,Ahmadi, H.R.,Ziehl, P. Techno-Press 2020 Advances in concrete construction Vol.9 No.4
In the present study, by employing fragility analysis, the seismic vulnerability of a concrete girder bridge, one of the most common existing structural bridge systems, has been performed. To this end, drift demand model as a fundamental ingredient of any probabilistic decision-making analyses is initially developed in terms of the two most common intensity measures, i.e., PGA and Sa (T<sub>1</sub>). Developing a probabilistic demand model requires a reliable database that is established in this paper by performing incremental dynamic analysis (IDA) under a set of 20 ground motion records. Next, by employing Bayesian statistical inference drift demand models are developed based on pre-collapse data obtained from IDA. Then, the accuracy and reasonability of the developed models are investigated by plotting diagnosis graphs. This graphical analysis demonstrates probabilistic demand model developed in terms of PGA is more reliable. Afterward, fragility curves according to PGA based-demand model are developed.
공법분야 투고논문 : 연명 중단의 고려 시점에 대한 분석
김필수 ( Phil S Kim ) 한양대학교 법학연구소 2013 법학논총 Vol.30 No.2
The author analyzed the proper time and situation for stopping life sustaining equipment on the chronically unconscious patients and terminal patients. As you know, everyone thinks about death in case he or she suffers a chronic conscious disease or terminal illness, but many cannot decide on the concept of when he or she should start the thought process of stopping active treatment such as respiratory ventilators. But, everyone should know the status of patients who lost his or her consciousness and have to decide the critical points of stopping those treatments. So I have made a very useful methodological map and graphics for the decision whether or not one should start thinking of stopping the active treatment for the lost patients. Additionally, I have analyzed the opinions of the juries of the Supreme Court which concluded the sentence about Ms. Kim`s controversial trial of whether or not stopping her respiratory ventilator in 2009 in Korea. In conclusion, I have created a very useful timetable for the decision making process about the stopping of life-sustaining equipment for the consciously obliterated patients who have suffered from terminal disease for many years. This map and graphics will be useful for decision about the stopping the life sustaining treatment for the persistent vegetative states and terminal patients who lost his or her consciousness. In the future, people should study about the various spectrums of unresponsible wakefulness syndromes like persistent vegetative states and minimal consciousness syndrome.