Zobrazeno 1 - 10
of 266
pro vyhledávání: '"Kenji Kita"'
Autor:
Hidetoshi Nakao, Masakazu Imaoka, Mitsumasa Hida, Ryota Imai, Misa Nakamura, Kazuyuki Matsumoto, Kenji Kita
Publikováno v:
BMC Musculoskeletal Disorders, Vol 24, Iss 1, Pp 1-7 (2023)
Abstract Introduction This cross-sectional study aimed to determine the factors related to hallux valgus (HV) and their importance using support vector machine-recursive feature elimination (SVM-RFE). Methods A total of 864 participants aged ≥ 18 y
Externí odkaz:
https://doaj.org/article/6926ccd4d32b4f7aaef620eaafab5b4f
Autor:
Yuki Katayama, Tadaaki Yamada, Shinsaku Tokuda, Naoko Okura, Naoya Nishioka, Kenji Morimoto, Keiko Tanimura, Yoshie Morimoto, Masahiro Iwasaku, Mano Horinaka, Toshiyuki Sakai, Kenji Kita, Seiji Yano, Koichi Takayama
Publikováno v:
Cancer Medicine, Vol 11, Iss 4, Pp 944-955 (2022)
Abstract EGFR‐T790M mutation is a major mechanism underlying acquired resistance to first‐ and second‐generation EGFR tyrosine kinase inhibitors (EGFR‐TKIs) in lung cancer with mutated EGFR. However, differences in the biological characterist
Externí odkaz:
https://doaj.org/article/59a3f3ff4edb4685a7f4cb5af5d2b0ba
Autor:
Rong Wang, Tadaaki Yamada, Kenji Kita, Hirokazu Taniguchi, Sachiko Arai, Koji Fukuda, Minoru Terashima, Akihiko Ishimura, Akihiro Nishiyama, Azusa Tanimoto, Shinji Takeuchi, Koshiro Ohtsubo, Kaname Yamashita, Tomoyoshi Yamano, Akihiro Yoshimura, Koichi Takayama, Kyoichi Kaira, Yoshihiko Taniguchi, Shinji Atagi, Hisanori Uehara, Rikinari Hanayama, Isao Matsumoto, Xujun Han, Kunio Matsumoto, Wei Wang, Takeshi Suzuki, Seiji Yano
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
Cancer cells develop resistance to tyrosine kinase inhibitors targeting EGFR. Here, the authors explore the mechanism of resistance to one such inhibitor - osimertinib - and find that resistance is caused by increased expression and activation of the
Externí odkaz:
https://doaj.org/article/286176aadbbc411dbfd32550becc33c5
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1256 (2022)
This paper proposes an emotion recognition method for tweets containing emoticons using their emoticon image and language features. Some of the existing methods register emoticons and their facial expression categories in a dictionary and use them, w
Externí odkaz:
https://doaj.org/article/8e292aa15bad4a27b6154124fccebdfa
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10567 (2021)
This study investigates social media trends and proposes a buzz tweet classification method to explore the factors causing the buzz phenomenon on Twitter. It is difficult to identify the causes of the buzz phenomenon based solely on texts posted on T
Externí odkaz:
https://doaj.org/article/a4e48647ded1406aadcc5f41e1531b2f
Publikováno v:
CAAI Transactions on Intelligence Technology (2019)
Recently, the authors often see words such as youth slang, neologism and Internet slang on social networking sites (SNSs) that are not registered on dictionaries. Since the documents posted to SNSs include a lot of fresh information, they are thought
Externí odkaz:
https://doaj.org/article/c25fed434f1d4428bfc7b8120a8655cc
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2017 (2017)
Externí odkaz:
https://doaj.org/article/08638e8ed4474620bd42be79d0ad88b5
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2017 (2017)
Person reidentification, which aims to track people across nonoverlapping cameras, is a fundamental task in automated video processing. Moving people often appear differently when viewed from different nonoverlapping cameras because of differences in
Externí odkaz:
https://doaj.org/article/445dd591b1ff48b9a6cebbe82e0566af
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2014 (2014)
People often make decisions based on sensitivity rather than rationality. In the field of biological information processing, methods are available for analyzing biological information directly based on electroencephalogram: EEG to determine the pleas
Externí odkaz:
https://doaj.org/article/aceee6d7676448b3a21235ef4a6cba93
Publikováno v:
Advances in Multimedia, Vol 2011 (2011)
The earth mover's distance (EMD) is a measure of the distance between two distributions, and it has been widely used in multimedia information retrieval systems, in particular, in content-based image retrieval systems. When the EMD is applied to imag
Externí odkaz:
https://doaj.org/article/144e09909596444aadfdbf6a9fe1732c