机房指纹身份鉴别系统的研制

介绍采用指纹识别技术实现学生身份识别的设计原理和方法, 给出了分布式网络机房指纹 身份识别系统的组成与框架结构、接口电路设计以及软件的设计和实现. 为提高使用计算机和管理 机房的效率, 提供了一种先进有效的手段

连续和间断硬膜外注射生理盐水预防硬脊膜 穿破后头痛的对比

【目的】比较连续和间断硬膜外注射生理盐水对预防硬脊膜穿破后头痛( PEPH)的临床效应。【方法】36 例腰段硬膜外穿刺时穿 破硬脊膜的美国麻醉医师协会分级( ASA)Ⅰ ～ Ⅱ级患者,随机分为 3 组,每组 12 例。 Ⅰ组改用静吸复合全麻; Ⅱ、Ⅲ组分别改上或下一椎间隙 穿刺置管行硬膜外麻醉。术后Ⅰ组静脉输液每天 2 000～ 2 500 mL,其中生理盐1 000 mL; Ⅱ组在Ⅰ组的基础上,间断硬膜外注射生理盐水( IIENS) ,首量 10 mL,每12 h 追加 10 mL; Ⅲ组在Ⅰ组的基础上,连续硬膜外注射生理盐水( CIENS) ,首量 10 mL,再以 2 mL·h-1连续注射。术 后应用生理盐水预防性治疗和去枕平卧 3 d; 观察术后头痛的发生及头痛的程度。【结果】Ⅰ组术后头痛发生率为 66. 7%,其中轻度头痛5 例, 中度头痛 3 例,重度头痛 2 例; Ⅱ组术后头痛发生率为 33. 3%,其中轻度头痛 3 例,中度头痛 1 例; Ⅲ组术后头痛发生率为 16. 7%,仅 2 例出现轻度头痛。【结论】硬膜外注射生理盐水能有效地预防 PEPH,效果 CIENS 更优于 IIENS

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

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