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Amano Katsushige(天野勝重) 일본어문학회 2017 일본어문학 Vol.77 No.-
二葉亭四迷(1887)『浮雲』は、内海文三と園田お勢、そして本田昇の三角関係を扱いながら、最終的には文三の近代人としての自我の芽生えや苦悩を描いた日本近代文学の嚆矢として誰もが知っている作品であるが、実はこの作品の中で、「学問」は非常に重要な意味を持っている。 主人公の内海文三は優秀な成績で学校を卒業したにも関わらず、うまく就職ができない。やっと就職することができた下級官吏の職も免職されてしまう。特に上司は海外留学までした高学歴の人物でありながら、文三では無く、学歴の不明な本田昇に目を掛けている。その理由を、論者はこの時期に「立身出世」をするために必要だった「学問」の価値に変化が起こったと考える。 本稿では、それを一つの立脚点として、文三が本田に勝てない設定になっている理由を考察する。そして当時の「学問」「学歴」の社会的意味を踏まえた結果、文三の思い描いている「学問」の優位さと、課長や本田が「学問」に見出す価値観に大きな断絶があることがわかった。 At Tsubouchi Shoyo “Tosei Shosei Katagi”(1885), the students are depicted very optimistic. But the future is different between Tokyo University graduates and private school graduates. In Futabatei Shimei “Ukigumo”(1887), “scholarship” has a very important meaning. Although the main character, Utsumi Bunzo, graduated from the private school with excellent results, he was unable to get a job well. He was dismissed from the position of a low-level official that led him to hard times. Especially his boss is a highly educated person who went to study abroad, but he is paying attention to Honda Noboru, who has unknown educational background. It seems that a change has occurred in the value of “academic” that was necessary to make “success” during this period. In this article, we examine why Bunzo cannot win Honda in “Ukigumo,” and reveal that there is a big discontinuity between “academics” envisioned by Bunzo and the values of “scholarship” recognized by his boss and Honda. Bunzo was unable to notice that the meaning of “scholarship” changed.
Amano Norihiko,Iwata Kentaro,Iwata Sachiyo 대한감염학회 2021 Infection and Chemotherapy Vol.53 No.4
Background: Neutralizing antibody cocktail therapy, REGN-COV2, is promising in preventing a severe form of coronavirus disease 2019 (COVID-19), but its effectiveness in Japan has not been fully investigated. Materials and Methods: To evaluate the effectiveness of REGN-COV2, clinical data of 20 patients with COVID-19 who received REGN-COV2 was compared with the control by matching age and sex. The primary outcome was the time from the onset to defervescence, the duration of hospitalization, and oxygen requirement. A sensitivity analysis using Bayesian analysis was also conducted. Results: The time to defervescence was significantly shorter in the treatment group (5.25 vs. 7.95 days, P = 0.02), and so was the duration of hospitalization (7.115 vs. 11.45, P = 0.0009). However, the oxygen therapy requirement did not differ between the two groups (15% vs. 35%, P = 0.27). For Bayesian analysis, the median posterior probability of the time to defervescence since the symptom onset on the REGN-COV2 group was 5.28 days [95% credible interval (CrI): 4.28 - 6.31 days], compared with the control of 7.99 days (95% CrI: 6.81 - 9.24 days). The posterior probability of the duration of the hospitalization on the REGN-COV2 group was 7.17 days (95% CrI: 5.99 - 8.24 days), compared with the control of 11.54 days (95% CrI: 10.28 - 13.14 days). The posterior probability of the oxygen requirement on the REGN-COV2 group was 18% (95% CrI: 3 - 33%), compared with the control of 36% (95% CrI: 16 - 54%). Conclusion: REGN-COV2 may be effective in early defervescence and shorter hospitalization. Its effectiveness for preventing a severe form of infection needs to be evaluated by further studies.
Amano Yuto,Itoh Takashi,Terao Hoshiaki,Kanetake Naoyuki 한국분말야금학회 2006 한국분말야금학회 학술대회논문집 Vol.2006 No.1
For precise property control of sintered products, it is important to understand accurately the packing density of the powder. We developed a packing simulation program that could make a packed bed of spherical particles having particle size distribution. In addition, the influence of the particle shape of the actual powder on the packing density was quantitatively analyzed. The predicted packing densities corresponded well to the actual data.
Observation of Seasonal Changes of Rivers in Tropical Forests from JERS-1 SAR Images
Amano, Takako Sakurai,Takagi, Mikio 대한원격탐사학회 2001 International Symposium on Remote Sensing Vol.17 No.1
In our previous studies, our new method using strong isolated scatterers visualizes narrow rivers in Amazon forests from JERS-1 SAR images and applied this method to multi-temporal 4 look JERS-1 SAR images of various tropical forests and detected seasonal changes of water levels qualitatively. In this paper, we summarized the results of the Amazon Basin, New Guinea, and Congo Basin and showed that the results are correlated with the regional precipitation patterns with some delay periods. Such delay probably shows the retention period of the water in the forested areas.
AUTOMATIC DETECTION OF NARROW OPEN WATER STREAMS IN AMAZON FORESTS FROM JERS-1 SAR IMAGERY
Amano, Takako Sakurai,Ilsaka, Joji,Kamiyama, Masataka,Takagi, Mikio 대한원격탐사학회 1999 International Symposium on Remote Sensing Vol.15 No.1
We extracted narrow open water streams From JERS-1 SAR images of the Amazon rain forest. The extracted range of these streams were almost comparable to a high level extraction of the same streams from near-IR images of JERS-1 VNIR data notwithstanding that these features in SAR images show the strong dependence of the observation angle. Large water bodies are relatively easy to extract from JERS-1 SAR images, as they tend to appear as very dark areas; but streams whose width is nearly equal to ar less than the spatial resolution no longer appear as very dark features. By using strong scatterers distributed sparsely along the radar facing sides of the streams, we can successfully estimate approximate ranges of waterways and then extract relatively dark line-like features within these ranges.
Extraction of Linear Features from an AVNIR data of a Suburban City
Amano, Takako Sakurai,Naito, Takahiro,Iisaka, Joji,Takagi, Mikio 대한원격탐사학회 1997 International Symposium on Remote Sensing Vol.13 No.1
Various linear geographic features were extracted from an ADEOS AVNII2 multispectral image of a small suburban city. Spectral data were transformed and normalized into three images representing the proportions of vegetated, inorganic, and dark surfaces, and binarized at multiple threshold levels. Each pixel in each binary image was evaluated for line-likeness at the local level. Values of line-likeness were summed over all threshold levels. The main components of linear features were extracted by applying simple image algebra, morphological operations, and size operations to the resulting images. Additionally, higher spatial operations needed to extract finer details were explored.
A Feature Mixing Model for AVHRR Data
Amano, Takako Sakurai,Iisaka, Joji,Takagi, Mikio 대한원격탐사학회 1996 International Symposium on Remote Sensing Vol.12 No.1
Since the spatial and spectral resolution of AVHRR data is coarse, each resolution cell usually contains many terrain features, not all of which are spectrally distinguishable. Therefore spectral differences between resolution cells often result from the differences in the ratio of the terrain features, rather than differences in the terrain features themselves. The Feature Mixing model assumes that each pixel in a scene consists of a mixture of a very small number of basic spectral features of the landscape, such as vegetation, soil or inorganic materials, and dark objects. The model was tested using AVHRR data to examine the feasibility of using it as a more general measure of monitoring global environmental changes. The results of the preliminary study were positive, although there are still many tasks to be done.