Dietary analysis of two hydromedusa in situ based on high-throughput sequencing technique

The diet composition of jellyfish is a key issue of feeding ecology research. This paper used highthroughput DNA sequencing technique to identify the food composition of Sarsia tubulosa and Rathkea octopunctata,in situ. The results showed that the food types of Sarsia tubulosa and Rathkea octopunctata were multitudinous. The Sarsia tubulosa predated 31 different species,while the Rathkea octopunctata preyed 29. In term of food composition,the two species of jellyfish were omnivorous organisms,included zooplankton,fungi,phytoplankton,terrestrial plant detritus and so on. The Sarsia tubulosa and Rathkea octopunctata were mutual predators. The food groups of 2 species were similar. Arthropods and Maxillopoda were the most frequently observed phylum and class in the food of both Sarsia tubulosa and Rathkea octopunctata. The dominant species was Eurytemora pacifica,which accounted for 45. 14% and 42. 42% of the food source,respectively. The utilization of high-throughput sequencing technique is a new and useful tool for studying the diet of jellyfish in situ,and the food composition resulted from 2 jellyfish provides a significant reference for jellyfish feeding ecology

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