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Akihito Yasuda

Showing results (1-10 of 6) with videos related to

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International Journal of Pharmaceutics|June 19, 2010
Role of individual test samples in optimal solutions in pharmaceuticals predicted using a nonlinear response surface methodYoshinori Onuki, Shingo Kikuchi, Akihito Yasuda, et al.
Journal of Pharmaceutical Sciences|September 17, 2010
Self-organizing map analysis using multivariate data from theophylline powders predicted by a thin-plate spline interpolationAkihito Yasuda, Yoshinori Onuki, Shingo Kikuchi, et al.
Drug Development and Industrial Pharmacy|July 5, 2014
Latent structure modeling underlying theophylline tablet formulations using a Bayesian network based on a self-organizing map clusteringAkihito Yasuda, Yoshinori Onuki, Yasuko Obata, et al.
Journal of Pharmaceutical Sciences|March 1, 2011
Latent structure analysis in pharmaceutical formulations using Kohonen's self-organizing map and a Bayesian networkShingo Kikuchi, Yoshinori Onuki, Akihito Yasuda, et al.
Chemical & Pharmaceutical Bulletin|March 2, 2013
Self-organizing map analysis using multivariate data from theophylline tablets predicted by a thin-plate spline interpolationAkihito Yasuda, Yoshinori Onuki, Yasuko Obata, et al.
Journal of Pharmaceutical Sciences|November 20, 2012
Determination of the optimal cell-penetrating peptide sequence for intestinal insulin delivery based on molecular orbital analysis with self-organizing mapsNoriyasu Kamei, Shingo Kikuchi, Mariko Takeda-Morishita, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
International Journal of Pharmaceutics|June 19, 2010
Role of individual test samples in optimal solutions in pharmaceuticals predicted using a nonlinear response surface methodYoshinori Onuki, Shingo Kikuchi, Akihito Yasuda, et al.
Journal of Pharmaceutical Sciences|September 17, 2010
Self-organizing map analysis using multivariate data from theophylline powders predicted by a thin-plate spline interpolationAkihito Yasuda, Yoshinori Onuki, Shingo Kikuchi, et al.
Drug Development and Industrial Pharmacy|July 5, 2014
Latent structure modeling underlying theophylline tablet formulations using a Bayesian network based on a self-organizing map clusteringAkihito Yasuda, Yoshinori Onuki, Yasuko Obata, et al.
Journal of Pharmaceutical Sciences|March 1, 2011
Latent structure analysis in pharmaceutical formulations using Kohonen's self-organizing map and a Bayesian networkShingo Kikuchi, Yoshinori Onuki, Akihito Yasuda, et al.
Chemical & Pharmaceutical Bulletin|March 2, 2013
Self-organizing map analysis using multivariate data from theophylline tablets predicted by a thin-plate spline interpolationAkihito Yasuda, Yoshinori Onuki, Yasuko Obata, et al.
Journal of Pharmaceutical Sciences|November 20, 2012
Determination of the optimal cell-penetrating peptide sequence for intestinal insulin delivery based on molecular orbital analysis with self-organizing mapsNoriyasu Kamei, Shingo Kikuchi, Mariko Takeda-Morishita, et al.
Pageof 1