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Penile self-mutilation is rare. We report our experience with 3 cases of penile self-amputation. One case was in a 48-year-old man who had no background history of mental disorders. He amputated his penis using a utility knife. He was referred to our hospital and underwent suture of the wound, but he took his own life one week after the surgery. Another case was in a 42-year-old man who had intelligence impairment. He amputated his penis using a kitchen knife. The other case was in a 41-year-old man who had schizophrenia. He amputated his penis using a piece of broken glass.

2014-02-07 18:38:34
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http://hdl.handle.net/2433/166347

1 0 0 0 OA 混合系直交表における主効果と交互作用の交絡について(数理モデルの解析における組合せ論的様相)

著者: 宮川雅巳
出版者: 京都大学数理解析研究所
雑誌: 数理解析研究所講究録 (ISSN:18802818)
巻号頁・発行日: vol.802, pp.103-118, 1992-08

2014-02-07 17:59:30
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http://hdl.handle.net/2433/82873

1 0 0 0 OA Effectiveness of Link Prediction for Face-to-Face Behavioral Networks

著者: Tsugawa Sho Ohsaki Hiroyuki
出版者: Public Library of Science
雑誌: PLoS ONE (ISSN:19326203)
巻号頁・発行日: vol.8, no.12, pp.e81727, 2013-12
被引用文献数: 5 3

Research on link prediction for social networks has been actively pursued. In link prediction for a given social network obtained from time-windowed observation, new link formation in the network is predicted from the topology of the obtained network. In contrast, recent advances in sensing technology have made it possible to obtain face-to-face behavioral networks, which are social networks representing face-to-face interactions among people. However, the effectiveness of link prediction techniques for face-to-face behavioral networks has not yet been explored in depth. To clarify this point, here we investigate the accuracy of conventional link prediction techniques for networks obtained from the history of face-to-face interactions among participants at an academic conference. Our findings were (1) that conventional link prediction techniques predict new link formation with a precision of 0.30–0.45 and a recall of 0.10–0.20, (2) that prolonged observation of social networks often degrades the prediction accuracy, (3) that the proposed decaying weight method leads to higher prediction accuracy than can be achieved by observing all records of communication and simply using them unmodified, and (4) that the prediction accuracy for face-to-face behavioral networks is relatively high compared to that for non-social networks, but not as high as for other types of social networks.

2014-02-07 08:32:03
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1 0 0 0 OA スピン・電荷制御非平衝ナノ量子素子の有効理論の研究

著者: 谷口伸彦
巻号頁・発行日: 2013

2014-02-07 08:31:57
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http://hdl.handle.net/2241/120709