The development of a mana}ment safety commitment scale and its impact on employee safety performance

工作场所安全是关乎组织生存的重要问题。人的不安全行为是生产安全事故发生的主要原因之一，有80%以上的事故有人的因素参与。事故归因模型(accident causal model)指出，社会情境因素是事故发生的更深层次原因。员工知觉到的管理者对安全的承诺作为安全氛围的核心维度是员工安全绩效的稳健预测源。然而对于这一知觉更深层的“来源”却鲜有探索。本研究响应Fruhen等人2019年的建议，聚焦管理者自身的安全承诺，在开发中国情境下管理者安全承诺测量工具的基础上，探索管理者安全承诺对员工安全绩效的影响及其中介机制，以期为安全管理实践提供理论支持。 具体而言，我们开展了2个研究，研究一结合定性与定量的研究方法，按照量表开发的标准流程开发了管理者安全承诺的量表。首先，通过文献研究、行为事件访谈法形成管理者安全承诺量表的条目池。随后，经过小组讨论和专家评估确认管理者安全承诺的初始题项并编制测量量表。最后，通过电子问卷调查高风险企业的中层管理者和一线管理者，并将数据分半，分别通过探索性因子分析(n=230)和验证性因子分析((n=214)得到管理者安全承诺的三个维度，分别为情感承诺(3题)，规范承诺(4题)和计算承诺(4题)，三个维度与其他相关变量(如管理者安全态度、变革型领导、交易型领导等)具有良好的区分效度。 研究二将研究一开发的管理者安全承诺量表应用于实证研究，构建了管理者安全承诺与员工安全绩效的跨层关系模型，对196名一线管理者(来自研究1)配对的1230名下属进行问卷调查，检验了管理者安全承诺通过承诺表现知觉、员工团队心理安全氛围(安全管理承诺)的链式中介对员工安全绩效行为的积极影响。结果表明，在跨层研究中，管理者自评的情感安全承诺与员工知觉的承诺表现显著正相关。在个体水平上，承诺表现知觉与团队心理安全氛围(安全管理承诺)、员工安全遵守和安全参与呈显著正相关。团队心理安全氛围与员工安全遵守和安全参与显著正相关。两水平模型分析显示，管理者情感安全承诺(而非规范承诺和计算承诺)显著预测承诺表现知觉。承诺表现知觉部分中介了管理者安全承诺与团队心理安全氛围的关系，承诺表现知觉与团队心理安全氛围部分跨层链式中介了管理者安全承诺与员工安全遵守和安全参与的关系。本研究拓展了安全承诺、安全氛围与员工安全绩效的作用机制，丰富了安全承诺在安全绩效领域的研究，为安全干预提供了理论支持

Work safety accident visual reconstruction system based on 3D digital technology

摘要：为解决生产安全事故难以可视化逼真再现难题,提升警示教育效果,综合利用三维动态渲染引擎、动态参数化建模、脚本驱动的事故再现动态仿真等3D数字技术手段,研发一种生产安全事故再现系统;通过建设典型生产安全事故三维情景库、开发事故应急三维模拟演练系统、建立30套三维事故警示教育系列培训教材,实现对生产安全事故的三维可视化再现,并应用于某集团.结果表明:该系统能够实现事故发展过程及关键细节的仿真重现,提高培训的沉浸感和实操性,有助于提升集团的安全文化及员工安全意识和能力.</p

Expert consensus on the management of dermatogenic chronic pruritus in children

瘙痒见于多种疾病,在儿童多由皮肤疾病导致,即皮肤源性瘙痒.持续存在的慢性瘙痒治疗困难,可对患儿的睡眠、情绪、认知、学校表现及社会家庭功能等方面产生负面影响,严重影响患儿及其家庭成员的生活质量.临床上迫切需要对儿童慢性瘙痒进行规范化管理,而目前国内外缺乏独立的儿童慢性瘙痒诊疗指南或共识.该共识根据循证医学证据及专家意见,制定了一套针对0～18岁儿童皮肤源性慢性瘙痒的管理方案,供临床医生参考.</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

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

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 → 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