9 research outputs found

    丹江口水库赤眼鳟(Squaliobarbus curriculus)遗传多样性的RAPD和ISSR分析

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    利用RAPD和ISSR两种分子标记技术,分析了丹江口水库野生赤眼鳟30个个体的遗传多样性。用11个RAPD引物对其基因组DNA进行扩增,共获得101个重复性好且谱带清晰的扩增位点,片段大小在100—3000bp之间,其中多态性位点63个,多态位点比例为62.38%;个体间遗传距离在0.1049—0.3417之间,平均为0.1742。用10个ISSR引物共检测到88个位点,其中多态性位点61个,多态位点比例为69.32%;个体间遗传距离在0.1088—0.3847之间,平均为0.1907。结果显示,丹江口

    Application of Auto-tracking System in Extending the Measurement Range of Hore Sensors

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    用霍尔元件测量位移具有无接触、高精度等特点 ,但其缺点是测量范围小 ,限制了在实际环境中的运用。介绍了一种运用于霍尔元件的自跟随测量系统的工作原理 ,使霍尔传感器跟随着被测对象进行测量 ,从而使得传感器测量范围大大增加。该自跟随测量系统的核心是一个音圈电机 ,传感器与音圈电机的可动部分连成一体 ,检测到的位移信号经处理转化为电信号驱动音圈电机 ,使传感器得到相应的位移 ,达到跟随测量的目的。Using Hore sensors to measure the displacement of the objects has virtues such as non-contact and high-precision. However, its narrow measurement range restricts its use in practice. An auto-tracking measurement system is introduced to extend the measurement range largely. The core of the auto-tracking system is a voice-coil motor. The sensor is equipped on the movable part of the voice-coil motor. The displacement signal detected by the sensor was transmitted to the voice-coil motor for driving the sensor and tracking the target object

    丹江口水库赤眼鳟(Squaliobarbus curriculus)遗传多样性的RAPD和ISSR分析

    No full text
    利用RAPD和ISSR两种分子标记技术,分析了丹江口水库野生赤眼鳟30个个体的遗传多样性。用11个RAPD引物对其基因组DNA进行扩增,共获得101个重复性好且谱带清晰的扩增位点,片段大小在100—3000bp之间,其中多态性位点63个,多态位点比例为62.38%;个体间遗传距离在0.1049—0.3417之间,平均为0.1742。用10个ISSR引物共检测到88个位点,其中多态性位点61个,多态位点比例为69.32%;个体间遗传距离在0.1088—0.3847之间,平均为0.1907。结果显示,丹江口水库野生赤眼鳟群体的多态位点比例和平均遗传距离均较大,说明其有较高的遗传多样性

    丹江口水库赤眼鳟(Squaliobarbus curriculus)遗传多样性的RAPD和ISSR分析

    No full text
    利用RAPD和ISSR两种分子标记技术,分析了丹江口水库野生赤眼鳟30个个体的遗传多样性。用11个RAPD引物对其基因组DNA进行扩增,共获得101个重复性好且谱带清晰的扩增位点,片段大小在100—3000bp之间,其中多态性位点63个,多态位点比例为62.38%;个体间遗传距离在0.1049—0.3417之间,平均为0.1742。用10个ISSR引物共检测到88个位点,其中多态性位点61个,多态位点比例为69.32%;个体间遗传距离在0.1088—0.3847之间,平均为0.1907。结果显示,丹江口水库野生赤眼鳟群体的多态位点比例和平均遗传距离均较大,说明其有较高的遗传多样性

    丹江口水库赤眼鳟(Squaliobarbus curriculus)遗传多样性的RAPD和ISSR分析

    No full text
    利用RAPD和ISSR两种分子标记技术,分析了丹江口水库野生赤眼鳟30个个体的遗传多样性。用11个RAPD引物对其基因组DNA进行扩增,共获得101个重复性好且谱带清晰的扩增位点,片段大小在100—3000bp之间,其中多态性位点63个,多态位点比例为62.38%;个体间遗传距离在0.1049—0.3417之间,平均为0.1742。用10个ISSR引物共检测到88个位点,其中多态性位点61个,多态位点比例为69.32%;个体间遗传距离在0.1088—0.3847之间,平均为0.1907。结果显示,丹江口水库野生赤眼鳟群体的多态位点比例和平均遗传距离均较大,说明其有较高的遗传多样性

    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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