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Simplifying Laparoscopic Surgery for Left Side Colon and Rectal Cancer Using Linear Stapler for Vascular Ligation: A Prospective Cohort Study

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Journal of Cancer Therapy 2017年第4期8卷 341-348页

作者： Masanori Naito Takeo Sato takatoshi nakamura Takahiro Yamanashi Hirohisa Miura Atsuko Tsutsui Masahiko Watanabe Department of Surgery School of Medicine Kitasato University Sagamihara Japan

Introduction: Systematic lymphadenectomy and ligation of the feeding artery is extremely important when performing radical resection in colorectal cancer. However, vascular surgery via laparoscopy requires advanced skills and techniques;thus, this procedure needs to be simplified while maintaining quality of the surgery to make it a preferred technique for the surgeons. Methods: There were 49 patients who underwent laparoscopic sigmoidectomy or anterior resection till T2 level for sigmoid colon cancer and recto-sigmoid colon cancer. We analyzed short-term and long-term outcomes between stapling ligation and clipping ligation techniques used in these surgeries. Results: The mean volume of blood loss in the stapling ligation group was 12.8 ± 12.3 ml, which was significantly lower than 41.9 ± 71.2 ml of mean volume of blood loss in the clipping ligation group. There was no significant difference in the mean duration of surgery, the mean number of harvested lymph nodes, morbidity, recurrence, and 5-year relapse free survival rates between the 2 groups. Conclusions: This study demonstrates a surgical technique using staplers for vascular treatment of tumor-feeding arteries as a new technical improvement in laparoscopic colectomy for the treatment of early-stage colon cancer. We found that the described procedure was technically safe, simple, convenient, and oncologically valid.

关键词： Laparoscopic Surgery Colorectal Cancer Vascular Ligation Linear Stapler

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An Introduction to the Chinese Speech Recognition Front-End of the NICT/ATR Multi-Lingual Speech Translation System

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Tsinghua Science and Technology 2008年第4期13卷 545-552页

作者：张劲松 takatoshi Jitsuhiro Hirofumi Yamamoto 胡新辉 Satoshi nakamura Knowledge Creating Communication Research Center National Institute of Information and Communications Technology 2-2-2 Keihanna Science City Kyoto 619-0288 Japan ATR Spoken Language Translation Research Laboratories 2-2-2 Keihanna Science City Kyoto 619-0288 Japan ATR Knowledge Science Laboratories 2-2-2 Keihanna Science City Kyoto 619-0288 Japan Knowledge Creating Communication Research Center National Institute of Information and Communications Technology 2-2-2 Keihanna Science City Kyoto 619-0288 Japan

This paper introduces several important features of the Chinese large vocabulary continuous speech recognition system in the NICT/ATR multi-lingual speech-to-speech translation system. The features include：（1） a flexible way to derive an information rich phoneme set based on mutual information between a text corpus and its phoneme set; （2） a hidden Markov network acoustic model and a successive state splitting algorithm to generate its model topology based on a minimum description length criterion; and （3） advanced language modeling using multi-class composite N-grams. These features allow a recognition performance of 90% character accuracy in tourism related dialogue with a real time response speed.

关键词： Chinese speech recognition mutual information phoneme set design hidden Markov network minimum description length successive state splitting multi-class composite N-grams

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AN INTRODUCTION TO CHINESE SPEECH RECOGNITION FRONTEND OF NICT/ATR MULTI-LINGUAL SPEECH TRANSLATION SYSTEM

AN INTRODUCTION TO CHINESE SPEECH RECOGNITION FRONTEND OF NI...

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第九届全国人机语音通讯学术会议

作者： takatoshi Jitsuhiro Hirofumi Yamamoto Satoshi nakamura ATR ATR Knowledge Science Laboratories2-2-2 Kansai Science City Kyoto 619-0288 Japan National Institute of Information and Communications Technology Japan National Institute of Information and Communications Technology Japan ATR Spoken Language Communication Research Laboratories

This paper gives an introduction to several important features ofChinese large vocabulary continuous speech recognition system inthe NiCT/ATR multi-lingual speech-to-speech translation *** features include: a ?exible way to derive an information richphoneme set based on an mutual information measurement betweentext corpus and phoneme set;Hidden Markov network （HMnet）acoustic model and the Minimum Description Length （MDL） cri-terion based Successive state Splitting （SSS） algorithm to gener-ate a model topology;Advanced langauge modeling of multi-classcomposite N-grams. These features helped the recognition frontendworking at a performance of 90% character accuracies in travel do-main dialogues at a real time response.

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