福建省实验动物学学科发展研究报告

1实验动物科学概述1.1实验动物科学的概念实验动物科学(lAbOrATOry AnIMAl SCIEnCES)是以实验动物资源研究、质量控制和利用实验动物进行科学实验的一门综合性学科。在《学科分类与代码标准》(gb/T13745-1992)中,与实验动物科学有关的学科分别是“实验动物学“、“医学实验动物学“、“比较病理学“等

Chinese named entity recognition system using statistics-based and rules-based method

介绍了一个中文命名实体识别系统,该系统采用了统计与规则相结合的方法。整个识别过程主要分成两个步骤,首先使用隐马尔可夫模型进行词性标注,然后利用具有优先级别的匹配规则对第一步的结果进行修正和转换。同时,系统还对上下文相关的命名实体识别作了初步的尝试。在863组织的命名实体识别评测中,系统的准确率、召回率和F值分别达到了81.93%,78.20%,80.02%。This paper presented a Chinese named entity recognition system that combined the statistics-based and rules-based method.The whole process was divided into two steps.First to use the hidden Markov model for part-of-speech tagging,and then made use of match rules to amend and convert the result of the HMM step.The system also made an attempt at context-sensitive Chinese named entity recognition.In a named entity test organized by the 863 program,the precision,recall and F-score of the system reach 81.93%,78.20% and 80.02% respectively.国家863计划项目(2002AA117010

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies