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Teruo Kishi,Masahiro Takemura 과학기술정책연구원 2012 STI Policy Review Vol.3 No.2
In April 2001, many Japanese national institutes were reorganized as Independent Administrative Institutions (IAI) based on the General Act for Independent Administrative Institutions and the act for each institution. Under the Ministry of Education, Culture, Sports, Science and Technology (MEXT), the National Institute for Materials Science (NIMS) was established by the merger of the National Research Institute for Metals (NRIM) and the National Institute for Research in Inorganic Materials (NIRIM). One of the biggest changes was the expansion of autonomous administration. The nanotechnology and material R&D field was prioritized in the 2nd (2001-2005) and the 3rd (2006-2010) Science and Technology Basic Plans; subsequently, NIMS was assigned to take the initiative in nanotechnology as well as materials science. NIMS has proactively expanded research fields through the introduction of researchers from polymers, electronics, and biotechnology as well as member institutes of the World Materials Research Institute Forum (WMRIF). Globalization has been promoted through programs that include the International Center for Young Scientists (ICYS) and the International Center for Materials Nanoarchitectonics (MANA). The 4th Science and Technology Basic Plan (2011-2015) emphasizes outcomes-recovery and rebirth from the disaster, green innovation, and life innovation. The Midterm Plan for NIMS also follows it. R&D collaboration by multi-partners (that include industry, university, and GRI) should be strategically promoted where GRI are especially required to play a hub function for innovative R&D and open innovation. NIMS highlights are Tsukuba Innovation Arena (TIA) and the Nanotechnology Platform Project. On January 20, 2012, a new organization was decided on by the Japanese Government where several IAI from different science and technology areas will be merged to realize more effective R&D as well as administrative cost reductions. NIMS is also supposed to be merged with 4 other R&D IAI under MEXT by the end of 2013.
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( Akihiro Koga ),( Toshiyuki Matsui ),( Noritaka Takatsu ),( Yasumichi Takada ),( Masahiro Kishi ),( Yutaka Yano ),( Takahiro Beppu ),( Yoichiro Ono ),( Kazeo Ninomiya ),( Fumihito Hirai ),( Takashi N 대한장연구학회 2018 Intestinal Research Vol.16 No.2
Background/Aims: Decreased trough levels of infliximab (TLI) and antibodies to infliximab (ATI) are associated with loss of response (LOR) in Crohn’s disease. Two prospective studies were conducted to determine whether TLI or ATI better correlates with LOR (Study 1), and whether TLI could become a predictor of mucosal healing (MH) (Study 2). Methods: Study 1 was conducted in 108 patients, including those with LOR and remission to compare ATI and TLI in discriminating the 2 conditions based on receiver operating characteristic (ROC) curve analyses. Study 2 involved 35 patients who were evaluated endoscopi cally. Results: In Study 1, there were no differences between the 2 assays in ROC curve analyses; the TLI cutoff value for LOR was 2.6 μg/mL (sensitivity, 70.9%; specificity, 79.2%), and the ATI cutoff value was 4.9 μg/mL (sensitivity, 65.5%; specificity, 67.9%). The AUROC (area under the ROC curve) of TLI was greater than that of ATI. AUROC was useful for discriminating be tween the 2 conditions. In Study 2, the TLI was significantly higher in the colonic MH group than in the non-MH group (2.7 μg/mL vs. 0.5 μg/mL, P=0.032). Conclusions: TLI is better than ATI for clinically diagnosing LOR, and a correlation was observed between TLI and colonic MH. (Intest Res 2018;16:223-232)
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Tharathep Phiboon,Krittin Khankwa,Nutchanan Petcharat,Nattaphon Phoksombat,Masahiro Kanazaki,Yuki Kishi,Sujin Bureerat,Atthaphon Ariyarit 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.9
Optimization with a surrogate model is a popular method used in design to avoid a high computational cost problem and is often encountered in computational fluid dynamics and experimental design. However, the optimization with a surrogate model is assigned to solve single-fidelity optimization problems. Thus, a multi-fidelity surrogate model is proposed to solve the multi-fidelity airfoil design problem by combining the data of the wind tunnel experiment and the aerodynamic evaluation using JavaFoil software. In the optimization method, an RBF/Kriging hybrid multi-fidelity surrogate model is used. A non-dominated sorting genetic algorithm II (NSGA-II) is selected to solve the airfoil design problem. The objective of the optimization problem is to minimize the aerodynamic drag and maximize the lift force. The results showed that the algorithm successfully found the UAV airfoil shape and the selected optimum airfoil shape had the error of the aerodynamic lift and drag less than 10 % when tested in the wind tunnel experiment.
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Risk factors for severity of colonic diverticular hemorrhage
Ken Kinjo,Toshiyuki Matsui,Takashi Hisabe,Hiroshi Ishihara,Toshiki Kojima,Kenta Chuman,Shigeyoshi Yasukawa,Tsuyoshi Beppu,Akihiro Koga,Satoshi Ishikawa,Masahiro Kishi,Noritaka Takatsu,Fumihito Hirai,K 대한장연구학회 2018 Intestinal Research Vol.16 No.3
Background/Aims: Colonic diverticular hemorrhage (DH) was a rare disease until the 1990s, and its incidence has increased rapidly since 2000 in Japan. In recent years, colonic DH has been the most frequent cause of lower gastrointestinal bleeding (LGIB). Nearly all cases of DH are mild, with the bleeding often stopping spontaneously. Some cases, however, require surgery or arterial embolization. In this study, using a cohort at Fukuoka University Chikushi Hospital, we investigated factors associated with severe colonic DH. Methods: Among patients with LGIB who underwent colonoscopy at our hospital between 1995 and 2013, DH was identified in 273 patients. Among them, 62 patients (22.7%) were defined as having severe colonic DH according to recurrence of bleeding in a short period, and/or the necessity of transfusion, arterial embolization, or surgery. We then evaluated risk factors for severe DH among DH patients in this retrospective cohort. Results: Among the 273 patients with DH, use of non-steroidal anti-inflammatory drugs (NSAIDs) (odds ratio [OR], 2.801; 95% confidence interval [CI], 1.164–6.742), Charlson Risk Index (CRI) ≥2 (OR, 3.336; 95% CI, 1.154–7.353), right-sided colonic DH (OR, 3.873; 95% CI, 1.554–9.653), and symptoms of cerebral hypoperfusion (such as light-headedness, dizziness, or syncope) (OR, 2.926; 95% CI, 1.310–6.535) showed an increased risk of severe DH even after controlling for other factors. Conclusions: Severe DH occurred in 23% of DH patients, and NSAID use, CRI ≥2, right-sided colonic DH, and symptoms of cerebral hypoperfusion are suggested to be predictors of severe DH.
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