Population dynamics and nesting of three species of egret on Xiamen Dayu Island

对厦门大屿岛白鹭保护区的夜鹭（nyCTICOrAXnyCTICOrAX）、白鹭（EEgrTAgArzETA）和池鹭（ArdEOlAbACHuS）进行种群动态和营巢观察研究。3种鸟的数量季节变化都很大，5~7月数量高峰期，每月总数都达5000只左右。5月底共5610只，3种鸟的比例分别为50.8%、32.0%和17.2%。4月开始大量在相思树梢上营巢，5月中至6月初巢数多达6000多个。结果表明，3种鸟都是厦门的繁殖鸟和留鸟This paper deals with the population dynamics and nesting of Nycticorax nycticorax, Egretta garzetta and Ardeola bacchus in the Egret Naturel Reserve on Xiamen Dayu Island.The number of three egret species vary greatly with the season.May, June and July is the peak seasons.When the total birds reach about 5000 in each month.Especially, 5610 birds are sighted in May,and three species account for 50.8%, 32.0% and 17.2%, respectively.In April, most egrets begin to nest on the branchs of Acacia confusa, and nests come to 6000 during middle May and the beginning of June.The results show that the three species of egret are all resident and breeding birds of the Island

Knowledge Representation Language NFA and Its Application in Expert System for Oil Log Interpretation

石油测井解释是一项逻辑推理和数值计算交错进行的复杂过程。为了描述测井解释专家的这种知识、经验并模拟其思维方式,在扩充纯产生式规则的基础上,我们开发了知识表达语言——NFA,它把逻辑推理和数值计算综合成统一的形式。石油测井解释专家系统 LIX 先后在 INTERDATA-85机和 PE-3230机上实现,现场(胜利油田)运行近两年,解释了130余口井,符合率94%以上。LIX 实质上是 NFA 语言的解释系统,它的研制成功,说明了 NFA 语言的有效性和实用性

螺旋藻功能及其发酵液的研究进展/Research Advance of the Functions and Fermentation of Spirulina[J]

螺旋藻是较安全的食品，含有多种营养物质。本文简要综述了螺旋藻的发现和发展，功能的研究进展及发酵液的研究状况，展望了螺旋藻的发展前景

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