A Comparison on the Nutritional Ingredients between Plecoglossus altivelis Stocked in Stream with Blocking Net and Those Cultured Artificially

同批人工育成的香鱼(Plecoglossusaltivelis)苗,分别在溪流拦网放养和人工养殖两种状态下养成,其鱼肉的品质以及所体现的营养价值存在差异。在决定鱼肉营养价值的蛋白质品质和含量方面,通过对氨基酸作AAS、CS、EAAI等一系列的评分比较,发现溪流拦网放养香鱼的蛋白质品质优于人工养殖香鱼,而蛋白质的含量也是溪流拦网放养的香鱼高;脂肪方面,人工养殖香鱼的必需脂肪酸含量较高,因而品质也占优,但是高于溪流拦网放养香鱼的脂肪含量制约了其营养价值的发挥。There are differences in qualities as well as the nutritional values of the meat of Plecoglossus altivelis grown out from the same batch of fingerings propagated artificially,but cultured in stream with blocking net and artificial cultured condition.Based on a series of assessing comparisons of AAS,CS and EAAI on amino acids,the quality of protein of Plecoglossus altivelis stocked in stream with blocking net are better than those of artificially cultured ones.Meanwhile,the protein level in Plecoglossus altivelis stocked in stream with blocking net is also better than that of artificially cultured ones.Because of higher level of the necessary fatty acids,the fat quality of artificially cultured Plecoglossus altivelis is better than that of those stocked in stream with blocking net.However,the fat level of the artificially cultured Plecoglossus altivelis which is much higher than that of those stocked in stream with blocking net limits the play of the nutritional value of the fish.亚洲开发银行基金项目(TA2874-PRC);; 浙江省科技计划基金项目(重点001106132

西北地区智能化农业节水技术与示范

实施节水农业是西北地区生态环境建设、农业可持续发展的重要途径。项目组应用人工智能原理与专家系统技术，开发了西北地区智能化农业节水技术，该技术收到陕西省有关政府部门的重视和欢迎，并明显提高了示范推广区域的水分利用效率与水利率。建立的西北地区智能化农业节水积水系统是一个分布式专家系统，由区域水资源调配，作物续水量预测，农田节水灌溉、化学节水、覆盖节水、窑窖集水节灌、小麦节水栽培、玉米节水栽培、作物生产潜力预测、优化施肥、气象灾害预防、病虫草防治等子系统组成、采用知识推理、模型优化、数据库查询相结合、可最大程度地满足不同用户地节水增产地要求，并在陕西省得到推广应用

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