厦门市脑卒中患者中医体质特点的调查研究

[目的]调查厦门市脑卒中患者中医体质特点。[方法]采用便利抽样的方法对厦门市162名符合条件的脑卒中患者进行中医体质调查,描述不同体质类型分布情况,按不同的年龄、性别对体质类型进行比较。[结果]（1）厦门市脑卒中患者中医体质类型为平和质6人,偏颇体质156人;其中气虚质54人（33.3%）,痰湿质48人（29.6%）,湿热质18人（11.1%）。（2）年龄〈60岁患者以痰湿质最为常见,≥60岁则以气虚质最为多见;不同年龄的脑卒中患者对其气虚质的构成差异有统计学意义（P〈0.05）。（3）男性患者中常见体质类型（〉20%）为气虚质,女性患者中常见体质类型（〉20%）为痰湿质和气虚质。不同性别患者平和质、气虚质、痰湿质及血瘀质的构成差异有统计学意义（P〈0.05）。[结论]厦门市脑卒中患者中医体质类型以气虚质、痰湿质及湿热质为多见;不同性别、年龄的患者,其中医体质类型分布也有所不同。福建中医药大学校管课题（编号：X2013004

用超声波检测信号预报抽油杆剩余寿命

目前研究抽油杆剩余寿命的理论方法没有一种可直接应用于现场,无法直接通过工程检测手段来判断抽油杆的剩余寿命。为此,通过抽油杆疲劳试验,找出裂纹前缘的变化规律,得出裂纹深度与裂纹面积之间的关系、裂纹面积与剩余寿命的关系,借用传统Paris公式的数学模型,通过超声波检测建立了超声波探伤信号与裂纹深度之间的关系式,即裂纹检测信号与裂纹扩展规律之间的关系,从而提出了直接利用超声波探伤信号确定抽油杆剩余寿命的方法。将研究结果与疲劳模拟试验得出的剩余寿命相比较,寿命预测符合率达84%以上

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