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Institution

Aoyama Gakuin University

EducationTokyo, Japan
About: Aoyama Gakuin University is a education organization based out in Tokyo, Japan. It is known for research contribution in the topics: Superconductivity & Thin film. The organization has 3494 authors who have published 6419 publications receiving 115648 citations. The organization is also known as: Aoyama gakuin daigaku.


Papers
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Book ChapterDOI
TL;DR: In this paper, the authors investigated the potential of and constraints to a rice Green Revolution in Sub-Saharan Africa's large-scale irrigation schemes, using data from Uganda, Mozambique, Burkina Faso, Mali, Niger, and Senegal.
Abstract: This paper investigates the potential of and constraints to a rice Green Revolution in Sub-Saharan Africa's large-scale irrigation schemes, using data from Uganda, Mozambique, Burkina Faso, Mali, Niger, and Senegal. The authors find that adequate irrigation, chemical fertilizer, and labor inputs are the key to high productivity. Chemical fertilizer is expensive in Uganda and Mozambique and is barely used. This is aggravated when water access is limited because of the complementarities between fertilizer and irrigation. Meanwhile, in the schemes located in four countries in West Africa's Sahel region, where water access is generally good and institutional support for chemical fertilizer exists, rice farmers achieve attractive yields. Some countries' wage rate is high and thus mechanization could be one solution for this constraint. Improvement of credit access also facilitates the purchase of expensive fertilizer or the employment of hired labor.

44 citations

Proceedings ArticleDOI
10 Oct 2009
TL;DR: A therapeutic-assisted robot for children with autism to ameliorate their skill of joint attention is proposed and an unsupervised Mixture Gaussian-based cluster method is proposed to detect the child's intention in real time to process the goal-directed task smoothly.
Abstract: In this paper, we propose a therapeutic-assisted robot for children with autism to ameliorate their skill of joint attention. The robot conducts a goal-directed based interaction to establish engagement between the child and robot in order to establish a beneficial learning environment for autistic children. An unsupervised Mixture Gaussian-based cluster method is proposed to detect the child's intention in real time to process the goal-directed task smoothly. The novelty of this approach is that does not require the use of any training data or a trained model to detect the child's intention. Our autonomous robotic system is tested with several autistic children at a School for the Disabled in Nagoya, Japan. The results of the initial interaction showed that the children enjoyed interaction with and feedback from the robot, which confirmed that the robot can be used as mediator or an object of joint attention. The unsupervised approach was able to detect the children's intention at every time segment to process the goal-directed task with a higher accuracy rate. The results of the goal-directed task showed that the proposed interaction was highly effective in enhancing their joint attention. Since most of the children attempted to imitate the robot's gestural behaviors and used a variety of learning patterns to attend to the robot's fingered object in the environment to obtain joint attention with robot.

44 citations

Journal ArticleDOI
TL;DR: It is proved that when either core stability or strict core stability is under consideration, the existence problem of a stable coalition structure is NP-hard in the strong sense.
Abstract: We investigate the computational complexity of several decision problems in hedonic coalition formation games and demonstrate that attaining stability in such games remains NP-hard even when they are additive. Precisely, we prove that when either core stability or strict core stability is under consideration, the existence problem of a stable coalition structure is NP-hard in the strong sense. Furthermore, the corresponding decision problems with respect to the existence of a Nash stable coalition structure and of an individually stable coalition structure turn out to be NP-complete in the strong sense.

44 citations

Journal ArticleDOI
TL;DR: In this paper, structural relationships among variables that affect learners' willingness to communicate and frequency of communication in Japanese university EFL classrooms were examined, including anxiety, motivation, integrativeness, international posture, ought-to-L2 self, ideal L2 self (idealized L2 speaking self), linguistic self-confidence, and valuing of global English.
Abstract: The purpose of this study is to examine the structural relationships among variables that affect Willingness to Communicate (WTC) and frequency of communication in the L2 in Japanese university EFL classrooms: anxiety, motivation, integrativeness, international posture, ought-to L2 self, ideal L2 self (idealized L2 speaking self), L2 linguistic self-confidence, and valuing of global English. This purpose includes investigating Dornyei’s (2005) hypothesis that the interplay of linguistic self-confidence and the ideal L2 self positively influence L2 WTC. A sample of 373 Japanese university students participated in the study. Questionnaires were administered at the beginning of the semester and a hypothesized structural equation model based on the WTC model (MacIntyre 1994), the socioeducational model (Gardner 1985), and the concept of the L2 Motivational Self System (Dornyei 2005), was tested. The structural relationships yielded new perspectives on learners’ WTC, particularly the finding that the ideal L2 self was a significant predictor of L2 WTC. Pedagogical implications of the research findings are discussed.

44 citations

Journal ArticleDOI
TL;DR: The optical conductivity of MgB2 has been determined on a dense polycrystalline sample in the spectral range 6-meV-4.6-eV using a combination of ellipsometric and normal incidence reflectivity measurements as discussed by the authors.

44 citations


Authors

Showing all 3525 results

NameH-indexPapersCitations
Katsuhiko Mikoshiba12086662394
Tadayuki Takahashi11293257501
Takaaki Tanaka10532141804
Yasunobu Uchiyama10537339610
Sang-Wook Cheong7964537338
T. Sakamoto6552317443
Yutaka Saito6451617729
Nakao Iwata6454824469
Ryo Yamazaki5931716782
Takeshi Go Tsuru5940513507
Masahiro Yamashita5857315371
Toshio Yamagishi5215212998
Jun Akimitsu5260811035
Kazutaka Yamaoka5137211846
Aya Bamba5030613253
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202318
202240
2021232
2020255
2019300
2018281