合肥市夏季流浪猫流浪狗的初步调查

城市中日益增多的流浪猫狗正在成为一个困扰人们的问题。2008年7月10～18日,在合肥市区的主要街道、居民区、垃圾场和火车道等区域,进行了流浪猫狗的本底调查。结果表明合肥市区流浪猫狗的平均密度1.264 6只/ km2,约1060只。其中流浪狗的密度0.405 9只/km2,约340只;流浪猫的密度0.8587只/km2,数量约720只。流浪猫主要选择在居民区和学校栖息,流浪狗主要在街道和社区巷道上活动

合肥市夏季流浪猫流浪狗行为时间分配的初步研究

城市中不断增多的流浪猫、狗日益引起人们的关注。2008年7月10～18日,在合肥市区的街道和居民区等区域,对流浪猫、狗进行了调查和行为研究。流浪猫、狗每天的主要活动是觅食和休息。其中流浪狗全天行为时间分配中,休息行为占35.71%,觅食行为占10.36%,觅食活动（觅食、走动、跑动和观望）约占48.74%,安全防护（警戒、威吓、叫吠和逃逸）约占10.23%;而流浪猫休息行为占32.04%,觅食行为占7.35%,觅食活动占43.88%,安全防护占16.52%。流浪狗1 d有3次觅食高峰,主要集中在清晨;流浪猫的主要觅食活动在傍晚后

安徽省鸟类分布新纪录——白鹈鹕

2005年5月,在安徽省灵璧县灵西运河（117.460327E,33.771728N）救护白鹈鹕2只;2010年10月,在安庆市石门湖（116.973839E,30.535947N）观察到白鹈鹕2只,并拍摄到照片;同年11月在池州市升金湖（117.004395E,30.33288N）观察到白鹈鹕2只。经查阅文献资料核实,该乌为安徽省鸟类分布新纪录

中国柽柳沙鼠线粒体DNA的地理变异及其亚种分化/Geographic variation in mitochondrial DNA sequences and subspecies divergence of the Tamarisk Gerbil (Meriones tamariscinus) in China[J]

柽柳沙鼠广泛分布于中亚荒漠地区,在我国分布于蒙新干旱区西部.本研究采用线粒体Cyt b基因和D-loop控制区两个片段共1 569 bp作为分子标记,对我国蒙新区西部45个柽柳沙鼠的核苷酸多样性、单倍型多样性及系统发生进行分析,并探讨其亚种分化.45个柽柳沙鼠线粒体DNA共定义33个单倍型,包含142个核苷酸变异位点(占全序列的9.05％),其中单态位点34个,简约信息位点108个,未发现碱基插入或缺失的现象.基于单倍型的系统发生树和网络关系图显示,柽柳沙鼠的谱系分为两大支:伊犁盆地的种群聚为独立的一支,准噶尔盆地和额济纳地区的种群聚为一支,两大支的分歧时间为0.24 Ma年前,大约在庐山冰期.通过Beast模拟,柽柳沙鼠在近15 000年有一次快速的种群衰退,表明柽柳沙鼠种群受到了末次盛冰期的影响.基于Cyt b基因和D-loop序列的证据,我们认为分布于新疆伊犁盆地的柽柳沙鼠为哈萨克亚种(M.t.jaxartensis),分布于我国新疆准噶尔盆地以及甘肃、内蒙地区的为敦煌亚种(M.t.satchouensis)

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

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors