8 research outputs found

    2018年安溪珠塔内窑调查报告

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    2018年5月至7月,厦门大学历史系考古专业、福建博物院文物考古研究所及安溪县博物馆等单位联合组成\"安溪古窑址调查队\",对安溪珠塔内窑进行了全面的调查,基本了解珠塔内窑古窑址分布与保存情况,采集了一批明末清初的青花瓷器、白瓷与窑具标本,并发现部分窑炉遗迹,为研究闽南地区青花瓷窑业发展提供了第一手资料

    汉语语义加工的相关脑区

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    利用无创伤的脑功能成像方法研究了正常中国人在进行汉语语义加工时所激活的脑区.根据传统理论,语义加工与语言的输入通路无关,阳此,分别进行了视觉和听觉语义加工的脑功能成像研究,通过寻找两条通路的公共激活区域来确定汉语的语义加工脑区.结果显示,左侧大脑半球的额下回、颞上回后部与缘上回的交界处、颞下回后部及梭状回:右侧大脑半球的颞中回、颞上回后部及其相邻的缘上回; 双侧小脑和枕叶的腹外侧部等.可能与汉语的语义加工有关.研究结果为进一步研究各脑区在汉语语义加工中的作用提供了重要参考.</p

    汉语语义加工的相关脑区

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    Novel Electrochemical Sensor Based on Integration of Nanoporous Gold with Molecularly Imprinted Polymer for Detection of Arsenic Ion(III)

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    国家重点研发计划项目资助No(2016YFC0400704)通讯作者:常启刚Contact:CHANGQi-gang1. 石河子大学化学化工学院/新疆兵团化工绿色过程重点实验室,新疆 石河子 8320002. 华东理工大学生物反应工程重点实验室,上海,2002373. 新疆湘晟新材料科技有限公司,新疆 哈密 8390001. Key Laboratory for Green Processing of Chemical Engineering of Xinjiang Production and Construction Corps/School of Chemistry and Chemical Engineering, Shihezi University, Shihezi 832000, China2. State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, 200237, China3. Xinjiang Xiangsheng New Material Technology Co., Ltd. Hami Xinjiang 839000, Chin

    Quantitative operando visualization of the energy band depth profile in solar cells

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    The energy band alignment in solar cell devices is critically important because it largely governs elementary photovoltaic processes, such as the generation, separation, transport, recombination and collection of charge carriers. Despite the expenditure of considerable effort, the measurement of energy band depth profiles across multiple layers has been extremely challenging, especially for operando devices. Here we present direct visualization of the surface potential depth profile over the cross-sections of operando organic photovoltaic devices using scanning Kelvin probe microscopy. The convolution effect due to finite tip size and cantilever beam crosstalk has previously prohibited quantitative interpretation of scanning Kelvin probe microscopy-measured surface potential depth profiles. We develop a bias voltage-compensation method to address this critical problem and obtain quantitatively accurate measurements of the open-circuit voltage, built-in potential and electrode potential difference

    JUNO Sensitivity on Proton Decay pνˉK+p\to \bar\nu K^+ Searches

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    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 pνˉK+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 pνˉK+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 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

    JUNO sensitivity on proton decay pνK+p → νK^{+} searches

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    JUNO sensitivity on proton decay p → ν K + searches*

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    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 pνˉK+ 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 pνˉK+ p\to \bar{\nu} K^+ is 36.9% ± 4.9% with a background level of 0.2±0.05(syst)±0.2\pm 0.05({\rm syst})\pm 0.2(stat) 0.2({\rm stat}) events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 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
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