著者

假家 英樹 小林 直樹 Hideki Kariya Naoki Kobayashi 東京大学大学院理学系研究科情報科学専攻 東京大学大学院理学系研究科情報科学専攻 Department of Information Science the University of Tokyo Department of Information Science the University of Tokyo

出版者

日本ソフトウェア科学会

雑誌

コンピュータソフトウェア (ISSN:02896540)

巻号頁・発行日

vol.16, no.3, pp.258-262, 1999-05-17

参考文献数

5

著者

Hitoshi Shibayama Naoki Kobayashi

出版者

Japanese Society for Food Science and Technology

雑誌

Food Science and Technology Research (ISSN:13446606)

巻号頁・発行日

pp.FSTR-D-23-00144, (Released:2023-12-19)

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The behavior of a raw carrot bolus through a vertical pipe was investigated with a laser detector. To investigate the effect of cohesiveness, samples were pre-processed in various stages, as follows: no compression, 50 % and 80 % compression, and blending with xanthan gum. First, the transit time of the bolus was measured from the time series signal of the voltage drop corresponding to the density of the food fragments. The results showed that the transit time was shorter for the bolus with greater assumed cohesiveness. Next, we analyzed the structure of the bolus flow by obtaining the power spectrum of the time series signal, which exhibited a power-law relationship of the form

著者

Takeshi Nakaura Naoki Kobayashi Naofumi Yoshida Kaori Shiraishi Hiroyuki Uetani Yasunori Nagayama Masafumi Kidoh Toshinori Hirai

出版者

Japanese Society for Magnetic Resonance in Medicine

雑誌

Magnetic Resonance in Medical Sciences (ISSN:13473182)

巻号頁・発行日

pp.rev.2022-0102, (Released:2023-01-26)

参考文献数

71

被引用文献数

3

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The application of machine learning (ML) and deep learning (DL) in radiology has expanded exponentially. In recent years, an extremely large number of studies have reported about the hepatobiliary domain. Its applications range from differential diagnosis to the diagnosis of tumor invasion and prediction of treatment response and prognosis. Moreover, it has been utilized to improve the image quality of DL reconstruction. However, most clinicians are not familiar with ML and DL, and previous studies about these concepts are relatively challenging to understand. In this review article, we aimed to explain the concepts behind ML and DL and to summarize recent achievements in their use in the hepatobiliary region.

著者

Wataru Aoki Maiko Watanabe Masaki Watanabe Naoki Kobayashi Jun Terajima Yoshiko Sugita-Konishi Kazunari Kondo Yukiko Hara-kudo

出版者

The Genetics Society of Japan

雑誌

Genes & Genetic Systems (ISSN:13417568)

巻号頁・発行日

vol.95, no.3, pp.133-139, 2020-06-01 (Released:2020-08-27)

参考文献数

22

被引用文献数

3

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Entoloma sarcopum is widely known as an edible mushroom but appears morphologically similar to the poisonous mushrooms E. rhodopolium sensu lato (s. l.) and E. sinuatum s. l. Many cases of food poisoning caused by eating these poisonous mushrooms occur each year in Japan. Therefore, they were recently reclassified based on both morphological and molecular characteristics as sensu stricto species. In this study, we analyzed the nucleotide sequences of the rRNA gene (rDNA) cluster region, mainly including the internal transcribed spacer regions and mitochondrial cytochrome oxidase 1 (CO1) gene, in E. sarcopum and its related species, to evaluate performances of these genes as genetic markers for identification and molecular phylogenetic analysis. We found that the CO1 gene contained lineage-specific insertion/deletion sequences, and our CO1 tree yielded phylogenetic information that was not supported by analysis of the rDNA cluster region sequence. Our results suggested that the CO1 gene is a better genetic marker than the rDNA cluster region, which is the most widely used marker for fungal identification and classification, for discrimination between edible and poisonous mushrooms among Japanese E. sarcopum and related species. Our study thus reports a new genetic marker that is useful for detection of Japanese poisonous mushrooms, Entoloma.