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Institution

Kansai University

EducationSuita, Japan
About: Kansai University is a education organization based out in Suita, Japan. It is known for research contribution in the topics: Catalysis & Polymerization. The organization has 5881 authors who have published 9254 publications receiving 134385 citations. The organization is also known as: Kansai Daigaku.


Papers
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Journal ArticleDOI
TL;DR: The purpose of this review is to take a closer look on the wound dressing applications of biomaterials based on chitin, chitosan and their derivatives in various forms in detail.

1,559 citations

Journal ArticleDOI
TL;DR: The biomolecule-sensitive hydrogels reviewed in this paper are expected to contribute significantly to the exploration and development of newer generations of intelligent biomaterials and self-regulated drug delivery systems.

1,278 citations

Journal ArticleDOI
TL;DR: This review emphasizes recent research on different aspects of chitin and chitosan based nanomaterials, including the preparation and applications of chitized materials, nanofibers, nanoparticles and nanocomposite scaffolds for tissue engineering, wound dressing, drug delivery and cancer diagnosis.

1,093 citations

Journal ArticleDOI
24 Jun 1999-Nature
TL;DR: It is shown that the hydrogel displays shape-memory behaviour, and that stepwise changes in antigen concentration can induce pulsatile permeation of a protein through the network.
Abstract: Stimuli-responsive hydrogels that undergo abrupt changes in volume in response to external stimuli such as pH, temperature and solvent composition have potential applications in biomedicine and the creation of 'intelligent' materials systems, for example as media for drug delivery, separation processes and protein immobilization. Hydrogels have been reported that respond to pH, temperature, electric fields and saccharides. For some biomedical applications it would be very useful to have a material whose swelling response was dictated by a specific protein. Here we report such a material, which swells reversibly in a buffer solution in response to a specific antigen. The hydrogel was prepared by grafting the antigen and corresponding antibody to the polymer network, so that binding between the two introduces crosslinks in the network. Competitive binding of the free antigen triggers a change in gel volume owing to breaking of these non-covalent crosslinks. In addition, we show that the hydrogel displays shape-memory behaviour, and that stepwise changes in antigen concentration can induce pulsatile permeation of a protein through the network.

1,064 citations

Journal ArticleDOI
Tomoko Yashima1
TL;DR: In this article, the authors examined relations among L2 learning and L2 communication variables in the Japanese English as a foreign language context using the WTC model and the socioeducational model as a framework.
Abstract: Willingness to communicate (WTC) is emerging as a concept to account for individuals’ first language (L1) and second language (L2) communication. This study examined relations among L2 learning and L2 communication variables in the Japanese English as a foreign language context using the WTC model and the socioeducational model as a framework. A L2 communication model was constructed and tested using AMOS version 4.0, with a sample of 297 Japanese university students. In the model, a latent variable, international posture, was hypothesized to capture the general attitude toward the international community and foreign language learning in Japan. From structural equation modeling, it appeared that international posture influences motivation, which, in turn, influences proficiency in English. Motivation affected self-confidence in L2 communication which led to willingness to communicate in a L2. In addition to this indirect path, a direct path from international posture to WTC in a L2 was significant. The model’s fitness to the data was good, which indicates the potential for using the WTC and other constructs to account for L2 communication.

1,019 citations


Authors

Showing all 5898 results

NameH-indexPapersCitations
Tomohiro Kurosaki9629528763
Hiromi Yamashita7661722125
Rangasamy Jayakumar7428921042
Shu Seki6852019030
Hiroshi Tamura6845118378
Motoo Shiro6472017786
Yasutaka Ishii6148111906
Seiichi Tagawa5455011880
Satoshi Sakaguchi512738460
Tetsuhiko Kobayashi5118315404
Akon Higuchi512918215
Yasuhiko Iwasaki502219104
Yoshinao Wada491997901
Takao Yamori491469491
Koichi Tanaka4851714427
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20236
202243
2021404
2020409
2019423
2018430