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Junji Endo

Showing results (1-10 of 10) with videos related to

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Arerugi = [Allergy]|January 25, 2012
[Outdoor environmental factors and bronchial asthma -trial of investigation about the influence on asthma exacerbation-]Yoichi Nakamura, Junji Endo
Applied Optics|March 20, 2002
Transmission laser microscope using the phase-shifting technique and its application to measurement of optical waveguidesJunji Endo, Jun Chen, Dai Kobayashi, et al.
Medical Science Monitor : International Medical Journal of Experimental and Clinical Research|May 23, 2003
Feather duvet lungNaohiko Inase, Yoshio Ohtani, Junji Endo, et al.
Nanotechnology|May 7, 2009
Real-time transmission electron microscope observation of gold nanoclusters diffusing into silicon at room temperatureTadashi Ishida, Yuuki Nakajima, Junji Endo, et al.
Journal of Medical and Dental Sciences|October 23, 2009
Gamma-delta T cell is essential for allergen-induced late asthmatic response in a murine model of asthmaKanna Tamura-Yamashita, Junji Endo, Susumu Isogai, et al.
Journal of Electron Microscopy|November 6, 2003
Profile structure of magnetic flux lines in type-II superconductor from a rectangular electron hologramKen Harada, Marco Beleggia, Junji Endo, et al.
European Journal of Gastroenterology & Hepatology|November 20, 2009
Double primary adenocarcinomas of the jejunum and descending colon with lung metastases presenting rare immunohistochemical phenotypes: a case reportHiroaki Nozawa, Yoshinao Yamada, Yasuhiko Muto, et al.
Nihon Kokyuki Gakkai Zasshi = the Journal of the Japanese Respiratory Society|April 30, 2004
[Chronic summer-type hypersensitivity pneumonitis presenting with acute exacerbation]Naohiko Inase, Ayaka Harimoto, Junji Endo, et al.
Nanotechnology|August 6, 2011
Exceptional plasticity of silicon nanobridgesTadashi Ishida, Fabrizio Cleri, Kuniyuki Kakushima, et al.
Scientific Reports|December 7, 2023
Pattern recognition of forced oscillation technique measurement results using deep learning can identify asthmatic patients more accurately than setting reference rangesChiune Funaita, Wakaba Furuie, Fumika Koike, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Arerugi = [Allergy]|January 25, 2012
[Outdoor environmental factors and bronchial asthma -trial of investigation about the influence on asthma exacerbation-]Yoichi Nakamura, Junji Endo
Applied Optics|March 20, 2002
Transmission laser microscope using the phase-shifting technique and its application to measurement of optical waveguidesJunji Endo, Jun Chen, Dai Kobayashi, et al.
Medical Science Monitor : International Medical Journal of Experimental and Clinical Research|May 23, 2003
Feather duvet lungNaohiko Inase, Yoshio Ohtani, Junji Endo, et al.
Nanotechnology|May 7, 2009
Real-time transmission electron microscope observation of gold nanoclusters diffusing into silicon at room temperatureTadashi Ishida, Yuuki Nakajima, Junji Endo, et al.
Journal of Medical and Dental Sciences|October 23, 2009
Gamma-delta T cell is essential for allergen-induced late asthmatic response in a murine model of asthmaKanna Tamura-Yamashita, Junji Endo, Susumu Isogai, et al.
Journal of Electron Microscopy|November 6, 2003
Profile structure of magnetic flux lines in type-II superconductor from a rectangular electron hologramKen Harada, Marco Beleggia, Junji Endo, et al.
European Journal of Gastroenterology & Hepatology|November 20, 2009
Double primary adenocarcinomas of the jejunum and descending colon with lung metastases presenting rare immunohistochemical phenotypes: a case reportHiroaki Nozawa, Yoshinao Yamada, Yasuhiko Muto, et al.
Nihon Kokyuki Gakkai Zasshi = the Journal of the Japanese Respiratory Society|April 30, 2004
[Chronic summer-type hypersensitivity pneumonitis presenting with acute exacerbation]Naohiko Inase, Ayaka Harimoto, Junji Endo, et al.
Nanotechnology|August 6, 2011
Exceptional plasticity of silicon nanobridgesTadashi Ishida, Fabrizio Cleri, Kuniyuki Kakushima, et al.
Scientific Reports|December 7, 2023
Pattern recognition of forced oscillation technique measurement results using deep learning can identify asthmatic patients more accurately than setting reference rangesChiune Funaita, Wakaba Furuie, Fumika Koike, et al.
Pageof 1