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Institution

National Institute of Advanced Industrial Science and Technology

GovernmentTsukuba, Ibaraki, Japan
About: National Institute of Advanced Industrial Science and Technology is a government organization based out in Tsukuba, Ibaraki, Japan. It is known for research contribution in the topics: Catalysis & Thin film. The organization has 22114 authors who have published 65856 publications receiving 1669827 citations. The organization is also known as: Sangyō Gijutsu Sōgō Kenkyū-sho.
Topics: Catalysis, Thin film, Carbon nanotube, Laser, Hydrogen


Papers
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Journal ArticleDOI
TL;DR: A mini review of robot therapy, which uses robots as a substitution for animals in animal-assisted therapy and activity, is a new application of robots and is attracting the attention of many researchers and psychologists.
Abstract: Mental healthcare of elderly people is a common problem in advanced countries. Recently, high technology has developed robots for use not only in factories but also for our living environment. In particular, human-interactive robots for psychological enrichment, which provide services by interacting with humans while stimulating their minds, are rapidly spreading. Such robots not only simply entertain but also render assistance, guide, provide therapy, educate, enable communication, and so on. Robot therapy, which uses robots as a substitution for animals in animal-assisted therapy and activity, is a new application of robots and is attracting the attention of many researchers and psychologists. The seal robot named Paro was developed especially for robot therapy and was used at hospitals and facilities for elderly people in several countries. Recent research has revealed that robot therapy has the same effects on people as animal therapy. In addition, it is being recognized as a new method of mental healthcare for elderly people. In this mini review, we introduce the merits and demerits of animal therapy. Then we explain the human-interactive robot for psychological enrichment, the required functions for therapeutic robots, and the seal robot. Finally, we provide examples of robot therapy for elderly people, including dementia patients.

329 citations

Journal ArticleDOI
TL;DR: The proposed pair interaction energy decomposition analysis (PIEDA), redeveloped in the framework of the fragment molecular orbital method (FMO), can treat large molecular clusters and the systems in which fragments are connected by covalent bonds, such as proteins.
Abstract: The energy decomposition analysis (EDA) by Kitaura and Morokuma was redeveloped in the framework of the fragment molecular orbital method (FMO). The proposed pair interaction energy decomposition analysis (PIEDA) can treat large molecular clusters and the systems in which fragments are connected by covalent bonds, such as proteins. The interaction energy in PIEDA is divided into the same contributions as in EDA: the electrostatic, exchange-repulsion, and charge transfer energies, to which the correlation (dispersion) term was added. The careful comparison to the ab initio EDA interaction energies for water clusters with 2-16 molecules revealed that PIEDA has the error of at most 1.2 kcal/mol (or about 1%). The analysis was applied to (H2O)1024, the alpha helix, beta turn, and beta strand of polyalanine (ALA)10, as well as to the synthetic protein (PDB code 1L2Y) with 20 residues. The comparative aspects of the polypeptide isomer stability are discussed in detail.

328 citations

Journal ArticleDOI
TL;DR: The results support the feasibility of using siRNA‐based gene therapy to inhibit HCV replication, which may prove to be valuable in the treatment of hepatitis C.
Abstract: Small interfering RNAs (siRNAs) efficiently inhibit gene expression by RNA interference. Here, we report efficient inhibition, by both synthetic and vector-derived siRNAs, of hepatitis C virus (HCV) replication, as well as viral protein synthesis, using an HCV replicon system. The siRNAs were designed to target the 5′ untranslated region (5′ UTR) of the HCV genome, which has an internal ribosomal entry site for the translation of the entire viral polyprotein. Moreover, the 5′ UTR is the most conserved region in the HCV genome, making it an ideal target for siRNAs. Importantly, we have identified an effective site in the 5′ UTR at which ∼80% suppression of HCV replication was achieved with concentrations of siRNA as low as 2.5 nM. Furthermore, DNA-based vectors expressing siRNA against HCV were also effective, which might allow the efficient delivery of RNAi into hepatocytes in vivo using viral vectors. Our results support the feasibility of using siRNA-based gene therapy to inhibit HCV replication, which may prove to be valuable in the treatment of hepatitis C.

328 citations

Journal ArticleDOI
TL;DR: The behavior of platinum dissolution and deposition in the polymer electrolyte membrane of a membrane-electrode-assembly for a proton-exchange membrane fuel cell was studied and the electrochemically active surface area decreased depending on the cycle number and the upper potential limit.
Abstract: The behavior of platinum dissolution and deposition in the polymer electrolyte membrane of a membrane-electrode-assembly (MEA) for a proton-exchange membrane fuel cell (PEMFC) was studied using potential cycling experiment and high-resolution transmission electron microscopy (HRTEM). The electrochemically active surface area decreased depending on the cycle number and the upper potential limit. Platinum deposition was observed in the polymer electrolyte membrane near a cathode catalyst layer. Platinum deposition was accelerated by the presence of hydrogen transported through the membrane from an anode compartment. Platinum was transported across the membrane and deposited on the anode layer in the absence of hydrogen in the anode compartment. This deposition was also affected by the presence of oxygen in the cathode compartment.

328 citations


Authors

Showing all 22289 results

NameH-indexPapersCitations
Takeo Kanade147799103237
Ferenc A. Jolesz14363166198
Michele Parrinello13363794674
Kazunari Domen13090877964
Hideo Hosono1281549100279
Hideyuki Okano128116967148
Kurunthachalam Kannan12682059886
Shaobin Wang12687252463
Ajit Varki12454258772
Tao Zhang123277283866
Ramamoorthy Ramesh12264967418
Kazuhito Hashimoto12078161195
Katsuhiko Mikoshiba12086662394
Qiang Xu11758550151
Yoshinori Tokura11785870258
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202367
2022265
20213,064
20203,389
20193,257
20183,181