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Year. Salivary proteins as a defense against dietary tannins. T Shimada. Journal of Chemical Ecology 32 (6), 1149-1163. , 2006. 523. 2006. Re-evaluation of the relationship between rodent populations and acorn masting: a review from the aspect of nutrients and defensive chemicals in acorns.
Takuya SHIMADA | Cited by 1,128 | of Forestry and Forest Products Research Institute, Tsukuba (FFPRI) | Read 35 publications | Contact Takuya SHIMADA
Takuya Shimada • European University Institute. Researcher. Department of History. Research projects, clusters and working groups. Completed. Decentering Eurocentrism. Thesis title. The Tensho Embassy in Italy (1585): Sixteenth-century Italian understandings of Japan and Japanese culture. Supervisor. Giancarlo Casale. 2nd reader. Lucy Riall.
Oct 3, 2019 · Hannah R. Windley, Takuya Shimada. First published: 03 October 2019. https://doi.org/10.1111/1365-2656.13119. Citations: 4. Sections. PDF. Tools. Share. Abstract. The foraging ecology of mammalian herbivores is regulated in part by their ability to detoxify plant secondary metabolites (PSM).
- Hannah R. Windley, Takuya Shimada
- 2020
Apr 13, 2021 · April 13 2021. Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization. In Special Collection: CogNet. Takuya Shimada, Han Bao, Issei Sato, Masashi Sugiyama. Author and Article Information. Neural Computation (2021) 33 (5): 1234–1268. https://doi.org/10.1162/neco_a_01373. Article history. Cite.
- Takuya Shimada, Han Bao, Issei Sato, Masashi Sugiyama
- 2021
Jul 3, 2018 · PMCID: PMC6117774. PMID: 29936456. Enzyme-treated Asparagus Extract Down-regulates Heat Shock Protein 27 of Pancreatic Cancer Cells. TAKUYA SHIMADA, 1 YUTA NANIMOTO, 1 BYRON BARON, 2 TAKAO KITAGAWA, 1 KAZUHIRO TOKUDA, 3 and YASUHIRO KURAMITSU 1,4. Author information Article notes Copyright and License information PMC Disclaimer. Go to: Abstract.
Takuya Shimada1, Han Bao1,2, Issei Sato1,2, and Masashi Sugiyama2,1. 1The University of Tokyo. 2RIKEN. Abstract. Pairwise similarities and dissimilarities between data points might be easier to obtain than fully labeled data in real-world classification problems, e.g., in privacy-aware situations.
