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RISS 인기검색어
- 검색키워드
- 저자 : Takeshi Kobayashi (검색결과 33 건)
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Takeshi Kobayashi,Toshiaki Imanishi,Taizo Hanai,Ichiro Aoyagi,Jun Uemura,Katsuhiro Araki,Hiroshi Yoshimoto,Takeshi Harima,Hiroyuki Honda 한국생물공학회 2002 Biotechnology and Bioprocess Engineering Vol.7 No.5
In order to control glucose concentration during fed-batch culture for antibiotic production, we applied so called “software sensor” which estimates unmeasured variable of interest from measured process variables using software. All data for analysis were collected from industrial scale cultures in a pharmaceutical company. First, we constructed an estimation model for glucose feed rate to keep glucose concentration at target value. In actual fed-batch culture, glucose concentration was kept at relatively high and measured once a day, and the glucose feed rate until the next measurement time was determined by an expert worker based on the actual consumption rate. Fuzzy neural network (FNN) was applied to construct the estimation model. From the simulation results using this model, the average error for glucose concentration was 0.88 g/L. The FNN model was also applied for a special culture to keep glucose concentration at low level. Selecting the optimal input variables, it was possible to simulate the culture with a low glucose concentration from the data sets of relatively high glucose concentration. Next, a simulation model to estimate time course of glucose concentration during one day was constructed using the on-line measurable process variables, since glucose concentration was only measured off-line once a day. Here, the recursive fuzzy neural network (RFNN) was applied for the simulation model. As the result of the simulation, average error of RFNN model was 0.91 g/L and this model was found to be useful to supervise the fed-batch culture.
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Takeshi Chida,Kazuhito Kawata,Kazuyoshi Ohta,Erika Matsunaga,Jun Ito,Shin Shimoyama,Satoru Yamazaki,Hidenao Noritake,Tetsuro Suzuki,Takafumi Suda,Yoshimasa Kobayashi 거트앤리버 소화기연관학회협의회 2018 Gut and Liver Vol.12 No.2
Background/Aims: Changes in lipid profiles in patients infected with hepatitis C virus (HCV) during direct-acting antiviral therapy have been reported in recent years. However, the clinical aspects of disturbed lipid metabolism in chronic HCV infection have not been fully elucidated. Methods: Dynamic changes in serum total, low-density lipoprotein (LDL), and high-density lipoprotein (HDL) cholesterol and apolipoprotein levels in patients infected with HCV genotype 1b were examined during combination therapy with daclatasvir (DCV) and asunaprevir (ASV). Results: Total, LDL-, and HDL-cholesterol levels increased rapidly and persistently after week 4. Apolipoprotein (apo) A-I, apo B, apo C-II, and apo C-III levels were significantly higher at week 4 than at week 0. In contrast, apo A-II and apo E levels were significantly lower. The differences in LDL- and HDL-cholesterol levels were positively correlated with those of apo B and apo A-I, respectively. Interestingly, in patients with non-sustained virological response, these cholesterol levels decreased rapidly after viral breakthrough or viral relapse. Furthermore, similar changes were observed for apo A-I, apo B and apo C-III levels. Conclusions: Clearance of HCV using combination therapy with DCV and ASV results in rapid changes in serum lipid profiles, suggesting an influence of HCV infection on disturbed lipid metabolism.
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( Takeshi Nakajima ),( Kayoko Kobayashi ),( Junji Sugiyama ) 한국목재공학회 2019 한국목재공학회 학술발표논문집 Vol.2019 No.1
Tree-ring analysis is an important field of science, including dendrochronology, dendroclimatology and modeling the tree growth environmental response system. In most cases the analyses have been conducted using one parameter from one tree-ring, e.g. ring-width, density, ratio of radioisotope, and so on. The information within a ring, however, has been less studied and many more things to be explored such as seasonal response in the shorter time scales. From another point of view, many species of softwood are often used into tree-ring analyses but our previous work revealed that simple CNN models did not work well in identification of softwood images where the morphology is rather regular or periodic. Therefore, substantial improvement in either feature extraction or the design of neural network was needed. In this study, therefore, we applied wavelet transform into deep-learning technique in order to extract information of tree growth environmental response in sub-seasonal time scales from softwood images.
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Flame Spread Mechanism of a Blended Fuel Droplet Array at Supercritical Pressure
Iwahashi, Takeshi,Kobayashi, Hideaki,Niioka, Takashi The Korean Society of Combustion 2002 한국연소학회지 Vol.7 No.1
Flame spread experiments of a fuel droplet array were performed using a microgravity environment. N-decane, 1-octadecene, and the blends (50% : 50% vol.) of these fuels were used and the experiments were conducted at pressures up to 5.0 MPa, which are over the critical pressure of these fuels. Observations of the flame spread phenomenon were conducted for OH radical emission images recorded using a high-speed video camera. The flame spread rates were calculated based on the time history of the spreading forehead of the OH emission images. The flame spread rate of the n-decane droplet-array decreased with pressure and had its minimum at a pressure around half of the critical pressure and then increased again with pressure. It had its maximum at a pressure over the critical pressure and then decreased gradually. The pressure dependence of flame spread rate of 1-octadecene were similar to those of n-decan, but the magnitude of the spread rate was much smaller than that of n-decane. The variation of the flame spread for the blended fuel was similar to that of n-decane in the pressure range from atmospheric pressure to near the critical pressure of the blended fuel. When the pressure increased further, it approached to that of 1-octadecene. Numerically estimated gas-liquid equilibrium states proved that almost all the fuel gas which evaporated from the droplet at ordinary pressure consisted of n-decane whereas near and over the critical pressure, the composition of the fuel gas was almost the same as that of the liquid phase, so that the effects of 1-octadecene on the flame spread rate was significant.
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Study of the planarian phototaxis during brain regeneration
Inoue, Takeshi,Kumamoto, Hiroshi,Cebria, Frances,Kobayashi, Chiyoko,Agata, Kiyokazu Korean Society of Photoscience 2002 Journal of Photosciences Vol.9 No.2
Planarians show negative phototaxis and have extensive regenerative ability, including the ability to regenerate the brain. Recently the process of regeneration of the planarian brain has been divided into three steps based on the expression of neural markers. In this study, we have analyzed the process of recovery of the light response during head regeneration. Although morphological observations indicated that regeneration of the eyes and optic nerves appeared to be completed by the fourth day, the recovery of the evasion behavior against light was not recovered within 4 days after amputation. Functional recovery of the evasion behavior could be detected starting 5 days after amputation and then gradually recovered. We previously identified genes which are specifically expressed in the brain after the recovery of morphological structures. This characteristic suggested that these genes may be involved in functional recovery of the brain. To investigate the function of these genes, we performed gene knockout analysis using the RNA interference method. The results clearly indicated that these genes are involved in the functional recovery of the visual system.
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