探讨如何将“AI for Science”化为“Decision Intelligence for Decision Science(DI4DS)”,使人工智能和智能科技成为变革传统指挥控制科学与技术的新动力并成为确保军事力量和国防安全的新科技。主要围绕决策智能理念、方法、技术的...探讨如何将“AI for Science”化为“Decision Intelligence for Decision Science(DI4DS)”,使人工智能和智能科技成为变革传统指挥控制科学与技术的新动力并成为确保军事力量和国防安全的新科技。主要围绕决策智能理念、方法、技术的历史演化以及ISDOS、EMS、计算机会议、决策剧场、平行剧场的历史进程,讨论决策5.0和平行决策智能及相关交互数字剧场等新人工智能技术在未来C++ISR的作用与意义。展开更多
为探讨肠炎沙门菌非编码小RNA(non-coding small RNA)IsrE在转录后水平是否参与对fimA的调控作用,在大肠杆菌中构建并表达FimA重组蛋白,并对其培养条件进行优化,制备高纯度FimA重组蛋白。利用原核表达载体p ET-28a(+)构建出能表达fimA...为探讨肠炎沙门菌非编码小RNA(non-coding small RNA)IsrE在转录后水平是否参与对fimA的调控作用,在大肠杆菌中构建并表达FimA重组蛋白,并对其培养条件进行优化,制备高纯度FimA重组蛋白。利用原核表达载体p ET-28a(+)构建出能表达fimA的重组质粒,并分别对IPTG浓度、诱导温度和诱导时间等条件进行优化,以提高目的蛋白的产量和增大其可溶性,最后经Ni-NTA亲和层析分离纯化FimA重组蛋白。通过酶切、测序和Western blot鉴定分析,成功构建并表达肠炎沙门菌I型菌毛主要亚单位FimA,蛋白分子质量约为19.3 kDa,且主要以包涵体的形式表达,经Ni-NTA亲和层析纯化后的重组蛋白在SDS-PAGE中显示单一条带。本研究构建、表达并获得纯度较高的重组蛋白FimA,为进一步研究和验证肠炎沙门菌非编码sRNA IsrE是否在转录后水平参与对fimA的调控奠定了基础。展开更多
Human-elephant conflict(HEC)poses a major socio-ecological challenge across elephant range states.Since 2015,the National Forest Ecosystem Research Station of China based in Xishuangbanna has developed the Elephant Ea...Human-elephant conflict(HEC)poses a major socio-ecological challenge across elephant range states.Since 2015,the National Forest Ecosystem Research Station of China based in Xishuangbanna has developed the Elephant Early-warning System(EEWS),a novel approach that has demonstrably reduced the risk of HEC incidents-particularly those involving direct encounters between people and elephants.By dynamically maintaining safety buffers,this system safeguards endangered elephants while mitigating human safety risks during livelihood activities and ensuring uninterrupted elephant movement.Building upon the C4ISR framework(Command,Control,Communications,Computers,Intelligence,Surveillance,and Reconnaissance),EEWS integrates key technological and institutional innovations-including the widespread adoption of mobile internet,deployment of camera traps,use of drones,and cross-sectoral governance reforms.The EEWS’s conceptual framework and technical architecture have been already recognized by local government and are now being scaled up from Xishuangbanna to the entire Asian elephant range in China,establishing a replicable“China model”for achieving harmonious human-elephant coexistence.This study reviews the conceptual foundations,development,and field implementation of EEWS,and offers recommendations to guide future refinement and broader application.展开更多
文摘为了在核污染事故处理时提供精细化预警,以辽宁省某核电站周边部分重要目标(大衣屯、大周屯、红沿河镇、驼山乡、西杨乡、复大线应急撤离线路)为研究对象,将环境保护指挥自动化系统C4ISRE(Command,Control,Communications,Computer,Intelligence,Surveillance,Reconnaissance,Environmental Impact Assessment)与HYSPLIT 4.9模型相耦合,采用NCEP(美国国家环境预报中心)的FNL全球气象数据对核污染扩散轨迹进行仿真研究.结果表明:自模拟初始时间2014-04-01T00:00:00.00开始,进、出大衣屯边界时间分别为00:06:16.560、00:06:49.000,历时31.340 s;由西向东横穿过大周屯,进、出时间分别为于00:06:16.56到达大衣屯北部边界,于00:06:46.90扩散出大衣屯边界,经过大衣屯区域耗时共计29.00 s;核污染气团于00:15:30.85到达大周屯上空500 m处,由西向东横穿过大周屯,于00:15:46.05离开大周屯上空,过程耗时15.20 s;核污染气团于00:32:14.25经过重要应急撤离线路2(复大线),全程耗时32 min 14.25 s.核污染气团与从2014-04-01T00:00:00.000进入红沿河镇上空500 m区域,于00:24:27.00扩散出,全程历时24 min 27.00 s;进、出驼山乡上空500 m区域的时间分别为00:24:28、00:51:00,历时26 min 32.00 s;进、出西杨乡上空的时间分别为00:51:01、01:05:4.70,历时14 min 37.00 s;重点区域大衣屯和大周屯行政区的预警时间分别为376.56、930.85 s,重点撤离线路2区域预警时间为1 934.25 s.
文摘探讨如何将“AI for Science”化为“Decision Intelligence for Decision Science(DI4DS)”,使人工智能和智能科技成为变革传统指挥控制科学与技术的新动力并成为确保军事力量和国防安全的新科技。主要围绕决策智能理念、方法、技术的历史演化以及ISDOS、EMS、计算机会议、决策剧场、平行剧场的历史进程,讨论决策5.0和平行决策智能及相关交互数字剧场等新人工智能技术在未来C++ISR的作用与意义。
基金funded by the Field Station Foundation of CAS,Lancang River Conservation Fund Project of SHANSHUI Conservation Center,the SEE Noah’s Ark Project of Beijing Entrepreneurs’Environmental Protection Foundation,the 14th Five-Year Plan of Xishuangbanna Tropical Botanical Garden(E3ZKFF9B01)the High-End Foreign Expert Recruitment Plan,Ministry of Science and Technology of the People’s Republic of China(E3YN105B01)the Yunnan Provincial Foreign Expert Project(202505AO120035).
文摘Human-elephant conflict(HEC)poses a major socio-ecological challenge across elephant range states.Since 2015,the National Forest Ecosystem Research Station of China based in Xishuangbanna has developed the Elephant Early-warning System(EEWS),a novel approach that has demonstrably reduced the risk of HEC incidents-particularly those involving direct encounters between people and elephants.By dynamically maintaining safety buffers,this system safeguards endangered elephants while mitigating human safety risks during livelihood activities and ensuring uninterrupted elephant movement.Building upon the C4ISR framework(Command,Control,Communications,Computers,Intelligence,Surveillance,and Reconnaissance),EEWS integrates key technological and institutional innovations-including the widespread adoption of mobile internet,deployment of camera traps,use of drones,and cross-sectoral governance reforms.The EEWS’s conceptual framework and technical architecture have been already recognized by local government and are now being scaled up from Xishuangbanna to the entire Asian elephant range in China,establishing a replicable“China model”for achieving harmonious human-elephant coexistence.This study reviews the conceptual foundations,development,and field implementation of EEWS,and offers recommendations to guide future refinement and broader application.
