Study on memory extinction of methamphetamine addiction based on Virtual Reality Technology

目的:探讨使用虚拟现实技术(virtual reality technology, VR)对甲基苯丙胺成瘾记忆进行激活、消退和更新的效果。方法:2018年9月-2019年12月选取辽宁省强制隔离戒毒所甲基苯丙胺戒毒人员,实验一被试20名,采用单因素被试内设计,将所有被试暴露于虚拟现实的甲基苯丙胺相关线索和中性线索中,探测被试的线索反应性。实验二被试60名,采用被试间设计,将60名被试随机分配至单一线索消退组、复杂线索消退组和中性对照组,考察消退前、消退后和更新测试中被试对毒品相关线索的反应性。以主观心理渴求报告,皮肤电反应,心率变异性为因变量评价消退效果及记忆更新情况。结果:实验一发现VR呈现后的甲基苯丙胺相关线索激发了更加强烈的心理渴求程度(P&lt;0.01),更高的皮肤电导指标及心率变异性的时域和频域指标(P&lt;0.05或P&lt;0.01)。实验二发现消退过程和不同组别之间的交互作用显著,复杂线索组、单一线索组在消退水平上均表现出较低的心理渴求程度、皮肤电导指标和心率变异性指标(P&lt;0.01)。结论:虚拟现实技术可有效激活甲基苯丙胺成瘾记忆,跨情境多线索的成瘾记忆消退效果更好,且能有效抑制记忆更新。</p

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