http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Reduction of acetaldehyde formation from pulverized solid woods by thermal and chemical treatments
Mizukoshi, Atsushi,Kurosaki, Yosuke,Yamamoto, Naomichi,Noguchi, Miyuki,Iizuka, Atsushi,Yamasaki, Akihiro,Yanagisawa, Yukio Springer-Verlag 2018 Wood science and technology Vol.52 No.2
<P>High concentrations of acetaldehyde are often observed in indoor environments. One possible source of this is acetaldehyde formation produced by ethanol from wood building materials. To characterize indoor acetaldehyde formation and propose methods for its reduction, chamber-based experiments were conducted in which alcohols were added to pulverized solid woods. The results indicated that acetaldehyde was generated from the ethanol-added wood materials, and softwoods, namely Japanese cedar, Japanese cypress, and Swedish redwood generated more acetaldehyde than the other three woods. The experiments using different types of alcohols of methanol, ethanol, 1-propanol, and 2-propanol revealed a tendency similar to the reported enzymatic profile of the higher plant-derived alcohol dehydrogenase. It was confirmed that acetaldehyde generation was reduced by treatment methods typically used for inactivating enzymes, namely chemical treatments using pyrazole, borate, and urea and thermal treatments. The findings suggest that the chemical and thermal treatment methods are useful to reduce acetaldehyde generation in indoor environments.</P>
Noise Reduction for Photon Counting Imaging Using Discrete Wavelet Transform
Lee, Jaehoon,Kurosaki, Masayuki,Cho, Myungjin,Lee, Min-Chul The Korea Institute of Information and Commucation 2021 Journal of information and communication convergen Vol.19 No.4
In this paper, we propose an effective noise reduction method for photon counting imaging using a discrete wavelet transform. Conventional 2D photon counting imaging was used to visualize the object under dark conditions using statistical methods, such as the Poisson random process. The photons in the scene were estimated using a statistical method. However, photons which disturb the visualization and decrease the image quality may occur in the background where there is no object. Although median filters are used to reduce the noise, the noise in the scene remains. To remove the noise effectively, our proposed method uses the discrete wavelet transform, which removes the noise in the scene using a specific thresholding method that utilizes photon counting imaging characteristics. We conducted an optical experiment to demonstrate the denoising performance of the proposed method.
Clinical Utility of Mac-2 Binding Protein Glycosylation Isomer in Chronic Liver Diseases
Tamaki Nobuharu,Kurosaki Masayuki,Loomba Rohit,Izumi Namiki 대한진단검사의학회 2021 Annals of Laboratory Medicine Vol.41 No.1
An accurate evaluation of liver fibrosis is clinically important in chronic liver diseases. Mac-2 binding protein glycosylation isomer (M2BPGi) is a novel serum marker for liver fibrosis. In this review, we discuss the role of M2BPGi in diagnosing liver fibrosis in chronic hepatitis B and C, chronic hepatitis C after sustained virologic response (SVR), and nonalcoholic fatty liver disease (NAFLD). M2BPGi predicts not only liver fibrosis but also the hepatocellular carcinoma (HCC) development and prognosis in patients with chronic hepatitis B and C, chronic hepatitis C after SVR, NAFLD, and other chronic liver diseases. M2BPGi can also be used to evaluate liver function and prognosis in patients with cirrhosis. M2BPGi levels vary depending on the etiology and the presence or absence of treatment. Therefore, the threshold of M2BPGi for diagnosing liver fibrosis and predicting HCC development has to be adjusted according to the background and treatment status.