7 research outputs found

    重要经济植物优良种质的评价与应用技术

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    该项目从不同地区采集了多种扁桃样品,分别利用扁桃自身3863个EST序列和公共数据库中扁桃近缘种桃的10185个EST序列,用于发展扁桃EST-SSR标记,建立扁桃资源DNA指纹图谱。共获得38个栽培种,6个野生种。利用5个SSR标记对94份材料,AFLP对107份材料进行初步分析,发现在我国新疆栽培的大多数巴旦杏品种相互之间没有差异或者差异很小。最后根据地理分布、表型和基因型表现,确定44份扁桃主要种质进行深入评价研究。明确了在我国栽培的数十个扁桃品种的S-基因型,目前根据片段大小,可以鉴别已知的10种S-RNase基因。发现了2个开花时间较晚的扁桃品种,是开展晚花扁桃育种的良好种质材料

    过氧化氢参与了脱落酸调控的拟南芥根形态发育

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    炭膜的功能化及其在气体分离上的应用

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    炭分子筛膜是一种新型无机分离膜,具有耐高温、耐酸碱、高气体选择性的特点,但其通量较低,如何进一步提高炭膜的气体通量,实现炭膜对气体的针对性分离已经成为当前研究的热点.综述了近年来功能炭分子筛膜的研究进展,提出了炭分子筛膜功能化主要存在的问题,着重讨论了采用化学功能化和物理填充无机粒子等方法对炭分子筛膜进行功能化的研究状况.展望了今后炭分子筛膜功能化技术的发展方向

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

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    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 pνˉK+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 pνˉK+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 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

    JUNO sensitivity on proton decay pνK+p → νK^{+} searches

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

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    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 pνˉK+ 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 pνˉK+ p\to \bar{\nu} K^+ is 36.9% ± 4.9% with a background level of 0.2±0.05(syst)±0.2\pm 0.05({\rm syst})\pm 0.2(stat) 0.2({\rm stat}) events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 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
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