含硫（氧）肟醚化合物杀虫活性三维定量构效关系研究

打破文献1～3中芳基烷基肟醚化合物的结构框架，将杂原子硫(氧)引入到其烷基中，设计并合成了一系列全新结构的含硫(氧)肟醚化合物．其生物活性研究结果表明，该系列化合物具有优良的杀鳞翅目、同翅目和直翅目等害虫的作用，且具有拟除虫菊酯农药快速击倒的活性特点

含硫（氧）肟醚化合物杀虫活性三维定量构效关系研究

打破文献1～3中芳基烷基肟醚化合物的结构框架，将杂原子硫(氧)引入到其烷基中，设计并合成了一系列全新结构的含硫(氧)肟醚化合物．其生物活性研究结果表明，该系列化合物具有优良的杀鳞翅目、同翅目和直翅目等害虫的作用，且具有拟除虫菊酯农药快速击倒的活性特点

含硫(氧)肟醚化合物杀虫活性三维定量构效关系研究

打破文献1～3中芳基烷基肟醚化合物的结构框架，将杂原子硫(氧)引入到其烷基中，设计并合成了一系列全新结构的含硫(氧)肟醚化合物．其生物活性研究结果表明，该系列化合物具有优良的杀鳞翅目、同翅目和直翅目等害虫的作用，且具有拟除虫菊酯农药快速击倒的活性特点

新型肟醚化合物杀叶蝉活性的CoMFA研究

用比较分子力场分析(CoMFA)方法对 28个间苯氧基苄醇肟醚和 30个联苯苄醇肟醚化合物杀叶蝉Nephotettixcincticeps活性的定量构效关系进行了研究。分别研究了上述两类化合物及其综合的QSAR模型,3种QSAR模型都表明肟苯环对位取代基是影响化合物杀叶蝉活性的主要因素,其体积和电性增加有利于提高化合物的杀叶蝉活性。比较 3种模型,还发现综合模型为最佳预测模型,其交叉验证系数R2cv=0.628,非交叉验证的相关系数R2 =0.971,标准偏差SE=0.109,F=133.84。用此模型预测了检验组 10个化合物的 lgLC50,结果满意。所得QSAR模型可为进一步合成更高活性的化合物提供指导

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