Set-up State Demonstration Center of Experimental Teaching for Life-science by Education Reforming and Construction

该文介绍厦门大学生命科学学院创建“国家级生命科学实验教学示范中心”的实践经验。2000年以来,厦门大学生命科学学院教学改革与建设并举,全面进行教学管理体制改革,建立了“实验教学中心”的实验教学管理新体制;同时集中投入教学经费,购置先进仪器,改善教学实验室条件。“实验教学中心”以提高学生实验技术和科研能力为目标,综合改革实验教学体系。经过5年实践,培养出实验技能扎实的生物学研究型基础人才,取得一批实验教学成果。The experience for constructing the state demonstration center for life-science experimental teaching in Xiamen University was introduced in this paper.Since 2000,the School of Life Sciences in Xiamen University had reformed the administration system for experimental teaching and founded the experimental teaching center.Meanwhile,The school concentrated the education funds to improve the laboratory conditions and gain many modern instruments.Furthermore,The experimental teaching center integrated experimental courses to reform the experimental teaching system for enhancing the experimental technique and scientific research ability of students.After five years of practice,the School of Life Sciences in Xiamen University had educated many foundation talents with proficient biological techniques and bear some fruits in experimental teaching.国家基础科学人才培养基金项目(批号:J0530124

新疆喀拉通克铜镍矿田成矿条件、岩浆通道与成矿潜力分析/Metallogenetic conditions, magma conduit and exploration potential of the Kalatongk Cu-Ni orefield in Northern Xinjiang[J]

位于中亚造山带北缘的喀拉通克早二叠世铜镍硫化物矿区是新疆规模最大的铜镍矿山,包含13个岩体,相当部分为隐伏岩体,其中1号、2号、3号、9号矿床为主力矿床,经过30余年持续开发,最大开采深度已达740 m,已面临后备资源不足的危机.已知矿体主要产于辉长岩、苏长岩、辉长苏长岩以及橄榄苏长岩中,甚至角闪辉长岩局部也含矿,未见超镁铁岩产出,具有显著的磁性(200 nT)、重力(0.29×10-5 m/s2)、激化率异常,以镁铁岩含矿、岩体规模小且成群成带、分异演化程度高、富铜(Cu/Ni约3∶2)、PGE较高、块状硫化物贯入矿体普遍发育为特色.其围岩为含炭质板岩、片岩和凝灰岩,变形强烈,常规电法受到炭质层的干扰.依据岩石学、地球化学研究,岩浆源于软流圈地幔,基于与东天山同期铜镍矿床含矿岩相及其比例和剩余重力异常的比较,推断其应发育有相当比例的超镁铁岩,因而深部出现超基性岩的可能性很高,且含矿性应更好.这一推断得到坑道钻探的证实,2013年矿区在Y2岩体东段650～740 m深度和Y2岩体西段400～500 m深度发现隐伏超镁铁岩且含矿,局部见贯入块状矿体.橄榄辉石岩、辉石橄榄岩系矿区首次发现,粒度很细,发育强烈的蛇纹石化、纤闪石化,推测只是隐伏超基性岩的头部.结合控岩控矿构造的追溯及南、北岩带的侧伏和倾伏方向判断,硫化物珠滴构造的发现与系统观测统计,围岩烘烤边和角岩化的研究分析,提出南岩带主岩浆通道位于Y2与Y3岩体之间,而不是原普遍认为的岩浆通道位于Y1与Y2岩体之间.结合矿区的现状,提出采用高分辨率浅层地震、CSAMT和瞬变电磁地-井测量,结合传统的高精度重力勘探、磁法勘探和激发极化法来勘探和预测南岩带深部隐伏含矿超镁铁岩的空间位置和产状,圈定岩浆通道和隐伏铜镍矿体,进而推动北岩带和外围G21、22号岩体的深部探矿工作

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