A study of maximizing decision making and emotion regulation in individuals with high obsessive-compulsive tendencies

强迫症（OCD）主要表现特征为强迫思维或强迫行为。研究表明，OCD 患 者未治疗时长是所有精神疾病中最长的。本研究的焦点在于高强迫倾向个体—— 那些表现出强迫特质但未满足诊断标准的个体。这些个体为研究与 OCD 相似的认知与情感过程、预防和干预策略的有效性和适用性提供了思路。近年来，OCD研究的重点已转向决策执行功能，之前的决策研究集中在强迫思维以及强迫行为，而对决策中的情绪调节及其策略关注较少。高强迫倾向个体相对 OCD 患者来说，症状程度较轻，因此，要为高强迫倾向个体提供适用且有效的干预策略，可从情绪角度进行干预，更容易被其察觉与接受。 研究一目标是探索高强迫倾向个体的情绪调节困难与决策行为特性间的联系，为之后的研究奠定理论基础。高强迫倾向往往会受强迫思维和强迫行为带来的痛苦影响，研究一推测这些个体可能存在情绪调节上的困难，并据此影响到其决策行为。此外，考虑到高强迫倾向个体对于情绪的敏感性，且行为抑制系统（BIS）的激活与负性情绪及对回避行为的趋近有关，研究一将纳入 BIS 作为变量之一，探索这些变量间的联系。研究二在研究一基础上，通过情景模拟实验，来探究高强迫倾向个体在决策过程中的行为特征和情绪调节策略对于高强迫倾向个体的有效性和适用性，重点探究情景模拟下这些个体参考候选项的个数以及接纳策略的有效性和适用性。 结果发现：（1）情绪调节困难在强迫倾向程度对最优化决策水平的影响中具有部分中介的作用。（2）行为抑制系统（BIS）对情绪调节困难在强迫倾向对最优化决策水平之间的中介效应具有调节作用。（3）情绪调节困难的维度 “有限的情绪调节策略”可作为提高情绪调节能力的方法和干预方向。（4）在情绪调节方面，接纳策略有效地提升了高强迫倾向个体的情绪调节能力，特别是在降低负性情绪方面效果显著。（5）在参考候选项个数方面，在小数量级的候选项中，高强迫倾向组和低强迫倾向组参考的候选项无显著差异。在大数量级的候选 项中，在使用情绪调节策略之前，高强迫倾向组相比低强迫倾向组参考更多的候选项，在使用情绪调节策略之后，高强迫倾向组和低强迫倾向组参考的候选项无显著差异。（6）在决策质量方面，取得排名前三名的人中，高强迫倾向组较低强迫倾向组在接受有效情绪策略之前决策质量水平略低，在接受有效情绪策略后，高强迫倾向组的决策质量相比低强迫倾向组略高。（7）对整体排名分布进行分析，得到高强迫倾向组的决策结果更易呈现两极分化。 结论：探索强迫倾向个体在决策过程中面临的情绪调节问题和最优化决策的有调节的中介路径，发现情绪调节能力在改善这些个体的决策质量中的重要作用。基于此路径使用情绪调节策略——接纳策略，可以显著降低高强迫倾向个体的负性情绪，减少过度搜索行为，并在一定程度上改善他们的决策质量，验证了接纳策略在高强迫倾向个体的有效性和适用性

Measurement of integrated luminosity of data collected at 3.773 GeV by BESIII from 2021 to 2024

We present a measurement of the integrated luminosity e+e- of collision data collected by the BESIII detector at the BEPCII collider at a center-of-mass energy of Ecm = 3.773 GeV. The integrated luminosities of the datasets taken from December 2021 to June 2022, from November 2022 to June 2023, and from October 2023 to February 2024 were determined to be 4.995±0.019 fb-1, 8.157±0.031 fb-1, and 4.191±0.016 fb-1, respectively, by analyzing large angle Bhabha scattering events. The uncertainties are dominated by systematic effects, and the statistical uncertainties are negligible. Our results provide essential input for future analyses and precision measurements

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

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors

Determination of the number of ψ(3686) events taken at BESIII

The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^