中国海草的“藻”名更改

海草(Seagrasses)是地球上可完全生活在海水中的被子植物,是由陆地植物演化到适应海洋环境的高等植物。然而,高等植物海草在中国经常被冠以低等植物"藻"的名称。中国海草现有22种,隶属于4科10属,其中科名、属名和种名分别有3科、7属和16种是以"藻"命名的,易让人们把海草误以为是海藻(Seaweed),造成混乱,同时给中国海草的研究、保护和利用带来不利影响。值此"第十一次国际海草生物学研讨会"(The 11th International Seagrass Biology Workshop)首次在中国举行之际,国内众多的海草研究专家得以共聚,有机会共同探讨中国海草的"藻"名更改。经过研讨..

THE NOMENCLATURE OF THE “ALGAE” NAME OF SEAGRASSES IN CHINA

海草(Seagrasses)是地球上可完全生活在海水中的被子植物,是由陆地植物演化到适应海洋环境的高等植物。然而,高等植物海草在中国经常被冠以低等植物"藻"的名称。中国海草现有22种,隶属于4科10属,其中科名、属名和种名分别有3科、7属和16种是以"藻"命名的,易让人们把海草误以为是海藻(Seaweed),造成混乱,同时给中国海草的研究、保护和利用带来不利影响。值此"第十一次国际海草生物学研讨会"(The 11th International Seagrass Biology Workshop)首次在中国举行之际,国内众多的海草研究专家得以共聚,有机会共同探讨中国海草的"藻"名更改。经过研讨..

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