基于专利文献技术融合测度的突破性创新主题识别——以太阳能光伏领域为例

【目的】基于核心专利的技术融合测度和LDA主题模型,对突破性创新技术主题进行识别。【方法】基于Innography平台界定核心专利,应用Rao-Stirling指数对核心专利的技术融合程度进行测度,挖掘具有突破性创新能力的专利,结合LDA主题模型识别技术主题,最后基于太阳能光伏领域进行实证研究。【结果】太阳能光伏领域较强技术融合度的核心专利主要涉及光学、电学和建筑学等学科。共识别出12个突破性创新技术主题,主要涉及电池材料、太阳能光伏应用和热电系统。【局限】未对不同专利分类体系下的技术融合测度进行探讨。【结论】通过探索具有较强技术融合度的核心专利,结合文本分析法,可有效识别技术领域中具有突破性创新能力的技术主题。&nbsp;</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

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