检索结果-南通市图书馆

FY-4 A/GIIRS反演夏冬季有云时大气温湿度廓线的精度评估

在线全文

学校读者我要写书评

暂无评论

红外与激光工程 2024年第7期53卷 130-142页

作者：姚姝含官莉南京信息工程大学中国气象局气溶胶与云降水重点开放实验室江苏南京210044

FY-4A/GIIRS(Geostationary Interferometric Infrared Sounder)首次实现了地球静止轨道红外高光谱探测,可以连续获得高垂直分辨率的大气温度和湿度廓线信息。当GIIRS视场内有云存在时,目前Level 2业务大气温湿度垂直廓线产品只提供观... 详细信息

FY-4A/GIIRS(Geostationary Interferometric Infrared Sounder)首次实现了地球静止轨道红外高光谱探测,可以连续获得高垂直分辨率的大气温度和湿度廓线信息。当GIIRS视场内有云存在时,目前Level 2业务大气温湿度垂直廓线产品只提供观测视场内云顶以上高度的温度廓线,且不反演整个视场的湿度廓线。基于GIIRS辐射观测值用U-Net卷积神经网络算法实现了全天空大气温湿度廓线反演,包括晴空和全云覆盖视场,同时利用常规无线电探空观测资料对反演精度进行了检验。结果表明:U-Net算法有云视场的温湿度廓线反演能力与晴空相当,且夏季温度反演精度优于冬季,有利于灾害性天气多发季节的监测。在云系较活跃的夏季,随着视场内云量的增加温度廓线反演精度逐渐变高,表明该算法适用于有云时大气温度廓线反演,而湿度随着云量的增加反演均方根误差RMSE增大。视场内不同云光学厚度时温度反演误差相差不大,RMSE均在2.5 K左右,平均偏差ME在1 K以内,对流层高层薄云时反演误差相对而言较小。湿度反演随着云光学厚度的增大反演误差也增大,说明对于一定程度的薄云,GIIRS能够获得不错的反演精度。虽然U-Net算法物理意义不明确,但是能够快速实现全天空大气温湿度廓线反演,尤其在有云时能够获得更高的反演精度。

关键词： FY-4 A/GIIRS U-Net卷积神经网络大气温湿度廓线反演算法评估

在线全文

学校读者我要写书评

暂无评论

芍药响应细极链格孢侵染的转录组分析

中国农业科学 2024年第15期57卷 3035-3052页

作者：蔚书涵秦小杰吴其超李玲臧德奎马燕山东农业大学林学院/黄河下游森林培育国家林业和草原局重点实验室

【目的】芍药在生长发育过程中容易遭受病原菌侵染，感染病害，由细极链格孢（Alternaria tenuissima）引起的红斑病是其主要叶部病害，严重影响品质和产量，目前对芍药红斑病的抗病机理尚未清晰。本研究运用生理学和转录组学手段，探... 详细信息

【目的】芍药在生长发育过程中容易遭受病原菌侵染，感染病害，由细极链格孢（Alternaria tenuissima）引起的红斑病是其主要叶部病害，严重影响品质和产量，目前对芍药红斑病的抗病机理尚未清晰。本研究运用生理学和转录组学手段，探究芍药响应细极链格孢侵染的生理变化及分子途径。【方法】以芍药‘大富贵’为试验材料，取A. tenuissima接种后12、24和96 h的芍药叶片，测定其相关生理指标并进行转录组测序分析，以未接种叶片为对照。【结果】病原菌接种后，芍药叶片的超氧化物歧化酶（SOD）、过氧化物酶（POD）、过氧化氢酶（CAT）和苯丙氨酸解氨酶（PAL）活性增强，可溶性糖与可溶性蛋白以及丙二醛（MDA）含量升高，脯氨酸含量降低。在A. tenuissima侵染芍药12、24和96 h后，芍药分别有5 045、5 961和2 748个差异表达基因上调，有4 284、5 665和3 536个差异表达基因下调。GO富集分析发现差异基因主要富集到部分生物合成和代谢过程、光合作用、信号转导和节律相关条目中。KEGG富集分析显示差异基因主要富集到碳代谢、氨基酸的生物合成、植物-病原菌互作、植物激素信号转导、MAPK信号等通路中。3条抗病通路（植物-病原菌互作、MAPK信号和植物激素信号转导）中共同富集到53个差异基因，这些差异基因中包括1个MPK6、2个PR1、4个MKK4/5和46个BAK1。随机选取9个芍药响应细极链格孢侵染的差异表达基因进行qRT-PCR分析，基因表达规律与转录组测序结果一致，证实RNA-seq的准确性。AP2/ERF-ERF、WRKY、bHLH和MYB-related转录因子家族是芍药响应A. tenuissima侵染的关键转录因子家族。【结论】A. tenuissima侵染芍药后，芍药通过提高SOD、POD、CAT和PAL的活性提升抗氧化能力，清除病害胁迫所产生的大量活性氧，通过增加可溶性糖与可溶性蛋白的含量、降低脯氨酸的含量进行渗透调节保持细胞水分。BAK1、PR1、MKK4/5和MPK6在芍药响应A. tenuissima侵染过程中起到重要作用，推测PlERF20、PlERF1b、PlWRKY41、PlMYC4和PlMYB62是芍药响应A. tenuissima侵染的抗病相关转录因子。

关键词：芍药细极链格孢转录组学生理指标抗病通路

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

黄绵土坡面细沟侵蚀剥蚀能力试验

水土保持学报 2023年第1期37卷 84-89,96页

作者：厉晓峰黄钰涵孟书翰亓波杨佳慧张俊鹏雷廷武山东农业大学水利土木工程学院山东泰安271018 广西大学林学院南宁530004 中国农业大学水利与土木工程学院北京100083

为研究黄土坡面细沟侵蚀规律,探究水流剥蚀能力的室内测算方法,以黄绵土为研究对象,设置2,4,6,8 L/min 4个流量,5°,10°,15°,20°4个坡度,土槽长度为12 m,进行室内径流冲刷试验,得到黄绵土坡面细沟侵蚀的临界沟长和输沙能力,基于二者... 详细信息

为研究黄土坡面细沟侵蚀规律,探究水流剥蚀能力的室内测算方法,以黄绵土为研究对象,设置2,4,6,8 L/min 4个流量,5°,10°,15°,20°4个坡度,土槽长度为12 m,进行室内径流冲刷试验,得到黄绵土坡面细沟侵蚀的临界沟长和输沙能力,基于二者之间的函数关系,推导出剥蚀能力的计算公式,以此研究不同试验条件下临界沟长、输沙能力和剥蚀能力的变化规律,并验证方法的准确性。结果表明:在设计水力工况条件下,黄绵土坡面细沟侵蚀的临界沟长的变化范围在5.33~11.12 m,且临界沟长随流量和坡度的增加而缩短;输沙能力随流量和坡度的增大而增大;剥蚀能力与流量之间存在明显的线性关系,与坡度之间存在较好的对数关系。试验方法与其他方法相比,操作便捷、结果吻合度高,能较好地确定黄土区细沟侵蚀的剥蚀能力。研究结果可进一步完善黄土坡面细沟侵蚀理论。

关键词：细沟侵蚀临界沟长剥蚀能力输沙能力冲刷试验

同方期刊数据库博看期刊评论

在线全文

学校读者我要写书评

暂无评论

推进社区韧性治理高质量发展的实践路径研究

中国行政管理 2024年第1期40卷 151-159页

作者：刘鹏张书菡张勤南京航空航天大学马克思主义学院南京211100 南京航空航天大学国家安全与应急管理研究院南京211100

随着中国式现代化进程的不断推进,提升应急管理的韧性愈发成为不可忽视的方向和路径。社会治理特别是基层社区应对风险的治理模式与手段创新成为国家治理与社会稳定的重大议题。韧性已成为城市高质量发展的关键要素之一,其核心就是要有... 详细信息

随着中国式现代化进程的不断推进,提升应急管理的韧性愈发成为不可忽视的方向和路径。社会治理特别是基层社区应对风险的治理模式与手段创新成为国家治理与社会稳定的重大议题。韧性已成为城市高质量发展的关键要素之一,其核心就是要有效应对各种复合风险的冲击,减少发展过程的不确定性和脆弱性。围绕高质量发展导向下社区应急管理中韧性治理策略选择的有效性研究,揭示了传统风险治理的刚性规制的惯性和信任机制的式微,利益固化的藩篱使社区风险应对“各自为战”“顾此失彼”等体制层面“治理碎片化”的挑战。探寻如何有效应对社区复杂多变的各类复合型风险,提出了高质量推进发展与安全同构的基层治理现代化,应保持应急与常态秩序协调转换与内核稳定,形成“共建共治共享”的风险治理共同体,为新时代提升社区抗逆力、应对系统性、复合型风险能力,推进社区韧性治理高质量发展提供理论和实践路径。

关键词：社区韧性治理韧性治理高质量发展实践路径

在线全文

学校读者我要写书评

暂无评论

基于残差神经网络的鸡蛋分类识别研究

河南农业大学学报 2024年第3期58卷 456-466页

作者：梁旭王玲赵书涵河南农业大学机电工程学院河南郑州450002

【目的】探究残差神经网络(residual neural network,ResNet)对不同种类鸡蛋的分类效果,明确深度学习应用存在智能鸡蛋巡检装置的可行性,为家禽养殖智能化进程提供新思路,并为鸡蛋分类研究提供数据支撑。【方法】在鸡舍实地取样,采用自... 详细信息

【目的】探究残差神经网络(residual neural network,ResNet)对不同种类鸡蛋的分类效果,明确深度学习应用存在智能鸡蛋巡检装置的可行性,为家禽养殖智能化进程提供新思路,并为鸡蛋分类研究提供数据支撑。【方法】在鸡舍实地取样,采用自适应矩估计优化器(adaptive moment estimation,Adam)以微调最后1层、微调所有层和重新训练所有层3种迁移学习策略分别训练,并通过调整模型权重参数及改变学习率的方式训练出最佳分类模型。【结果】得到识别准确率高达98.971%的鸡蛋分类模型。计算出模型在数据集上的各类评估指标,并借助混淆矩阵及语义特征降维可视化,分析出鸡蛋分类识别中易被误判的类别及语义。该模型部署后实时性良好,满足实际需求。【结论】鸡蛋的分类识别中光照条件是关键影响因素,应尽可能使鸡舍光照稳定均衡。针对6类鸡蛋,微调所有层并调整学习率参数为0.6,可得最佳模型。其在鸡舍场景下分类效果优良,尤其是颜色语义,应用于智能鸡蛋巡检装置,可有效降低人力成本。后续研究中应注重畸形蛋及软壳蛋的记录,为进一步优化提供数据支撑。

关键词：鸡蛋分类家禽养殖残差神经网络学习率智慧农业迁移学习

同方期刊数据库

Distinguished biological adaptation architecture aggravated population differentiation of Tibeto-Burman-speaking people

在线全文

学校读者我要写书评

暂无评论

Journal of Genetics and Genomics 2024年第5期51卷 517-530页

作者： Yuntao Sun mengge Wang Qiuxia Sun Yan Liu shuhan Duan Zhiyong Wang Yunyu Zhou Jun Zhong Yuguo Huang Xinyu Huang Qingxin Yang Xiangping Li Haoran Su Yan Cai Xiucheng Jiang Jing Chen Jiangwei Yan Shengjie Nie Liping Hu Junbao Yang Renkuan Tang Chuan-Chao Wang Chao Liu Xiaohui Deng Libing Yun Guanglin He West China School of Basic Science&Forensic Medicine Sichuan UniversityChengduSichuan 610041China Institute of Rare Diseases West China Hospital of Sichuan UniversitySichuan UniversityChengduSichuan 610000China Center for Archaeological Science Sichuan UniversityChengduSichuan 610000China Faculty of Forensic Medicine Zhongshan School of MedicineSun Yat-sen UniversityGuangzhouGuangdong 510275China Guangzhou Forensic Science Institute GuangzhouGuangdong 510055China Department of Forensic Medicine College of Basic MedicineChongqing Medical UniversityChongqing 400331China School of Clinical Medical Sciences North Sichuan Medical CollegeNanchongSichuan 637100China School of Basic Medical Sciences North Sichuan Medical CollegeNanchongSichuan 637100China School of Forensic Medicine Kunming Medical UniversityKunmingYunnan 650500China School of Stomatology North Sichuan Medical CollegeNanchongSichuan 637100China Department of Medical Laboratory North Sichuan Medical CollegeNanchongSichuan 637007China School of Life Sciences Xiamen UniversityXiamenFujian 361005China Anti-Drug Technology Center of Guangdong Province GuangzhouGuangdong 510230China School of Forensic Medicine Shanxi Medical UniversityJinzhongShanxi030600China

Tibeto-Burman(TB)people have endeavored to adapt to the hypoxic,cold,and high-UV high-altitude environments in the Tibetan Plateau and complex disease exposures in lowland rainforests since the late Paleolithic ***,the full landscape of genetic history and biological adaptation of geographically diverse TB-speaking people,as well as their interaction mechanism,remain ***,we generate a whole-genome meta-database of 500 individuals from 39 TB-speaking populations and present a comprehensive landscape of genetic diversity,admixture history,and differentiated adaptative features of geographically different TB-speaking *** identify genetic differentiation related to geography and language among TB-speaking people,consistent with their differentiated admixture process with incoming or indigenous ancestral source populations.A robust genetic connection between the Tibetan-Yi corridor and the ancient Yellow River people supports their Northern China origin *** finally report substructure-related differentiated biological adaptative signatures between highland Tibetans and Loloish *** signatures associated with the physical pigmentation(EDAR and SLC24A5)and metabolism(ALDH9A1)are identified in Loloish people,which differed from the high-altitude adaptative genetic architecture in ***-related genomic resources provide new insights into the genetic basis of biological adaptation and better reference for the anthropologically informed sampling design in biomedical and genomic cohort research.

关键词： Tibeto-Burman people Genetic profile Natural selection Genetic diversity Biological adaptation

Paleontology Knowledge Graph for Data-Driven Discovery

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Earth Science 2024年第3期35卷 1024-1034页

作者： Yiying Deng Sicun Song Junxuan Fan Mao Luo Le Yao Shaochun Dong Yukun Shi Linna Zhang Yue Wang Haipeng Xu Huiqing Xu Yingying Zhao Zhaohui Pan Zhangshuai Hou Xiaoming Li Boheng Shen Xinran Chen shuhan Zhang Xuejin Wu Lida Xing Qingqing Liang Enze Wang School of Resources and Environmental Engineering Hefei University of TechnologyHefei 230009China State Key Laboratory of Palaeobiology and Stratigraphy Nanjing Institute of Geology and Palaeontology and Center for Excellence in Life and PaleoenvironmentChinese Academy of SciencesNanjing 210008China School of Earth Sciences and Engineering and Frontiers Science Center for Critical Earth Material Cycling Nanjing UniversityNanjing 210023China State Key Laboratory for Mineral Deposits Research Nanjing UniversityNanjing 210023China University of Chinese Academy of Sciences Beijing 100049China Key Laboratory of Vertebrate Evolution and Human Origins of Chinese Academy of Sciences Institute of Vertebrate Paleontology and PaleoanthropologyChinese Academy of SciencesBeijing 100044China Centre for Research and Education on Biological Evolution and Environment Nanjing UniversityNanjing 210023China State Key Laboratory of Biogeology and Environmental Geology China University of GeosciencesBeijing 100083China School of the Earth Sciences and Resources China University of GeosciencesBeijing 100083China

A knowledge graph(KG)is a knowledge base that integrates and represents data based on a graph-structured data model or *** have made efforts to construct geosciencerelated KGs to overcome semantic heterogeneity and facilitate knowledge representation,data integration,and text ***,there is currently no comprehensive paleontology KG or data-driven discovery based on *** this study,we constructed a two-layer model to represent the ordinal hierarchical structure of the paleontology KG following a top-down construction *** ontology containing 19365 concepts has been defined up to *** this basis,we derived the synonymy list based on the paleontology KG and designed corresponding online functions in the OneStratigraphy database to showcase the use of the KG in paleontological research.

关键词： paleontology knowledge graph ontology synonymy list OneStratigraphy big data ge-ology.

Multidisciplinary and multiscale nanoscience research roadmap based on large scientific facilities

在线全文

学校读者我要写书评

暂无评论

Science China Chemistry 2024年第8期67卷 2497-2523页

作者： Yuan Zeng shuhan Zhang Yuecong Guo Yalin Cong Xu Ding Peihua Li Yunxiang Lin Wenzhi Ren Hui Su Weigang Sun Liuxin Xu Guikai Zhang Shihua Chen Yu Chen Weiren Cheng Shengqi Chu Yong Guan Jinru Han Jie Lin Hengjie Liu Zheyi Liu Pan Luo Fanchun meng Sicong Qiao Zongyin Song Ying Wang Zhao Wu Chenyu Yang meng Yang Shirui Yang Zi Yin Zhibin Yin Pengjun Zhang Hongyu Zhang Pingping Zheng Jia Zhou Wanlin Zhou Pengfei An He Cheng Chunhai Fan Xingjiu Huang Yong Lei Lina Li Mu Li Qinghua Liu Shuming Peng Li Song Zhihu Sun Yangchao Tian Fangjun Wang Lihua Wang Liming Wang Shiqiang Wei Aiguo Wu Chunlei Xiao Xueming Yang Panchao Yin Jing Zhang Mingxin Zhang Yaling Wang Chunying Chen CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety New Cornerstone Science LaboratoryNational Center for Nanoscience and TechnologyBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China National Synchrotron Radiation Laboratory University of Science and Technology of ChinaHefei 230029China Institute of Solid State Physics Hefei Institutes of Physical ScienceChinese Academy of SciencesHefei 230031China Institutes of Physical Science and Information Technology Anhui UniversityHefei 230601China Ningbo Key Laboratory of Biomedical Imaging Probe Materials and Technology Zhejiang International Cooperation Base of Biomedical Materials Technology and ApplicationCAS Key Laboratory of Magnetic Materials and DevicesNingbo Cixi Institute of Biomedical EngineeringZhejiang Engineering Research Center for Biomedical MaterialsNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo 315201China Advanced Energy Science and Technology Guangdong Laboratory Huizhou 516000China College of Chemistry and Chemical Engineering Hunan Normal UniversityChangsha 410081China State Key Laboratory of Luminescent Materials and Devices South China Advanced Institute for Soft Matter Science and TechnologySouth China University of TechnologyGuangzhou 510640China Beijing Synchrotron Radiation Facility Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China CAS Key Laboratory of Separation Sciences for Analytical Chemistry Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China State Key Laboratory of Molecular Reaction Dynamics Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China Institute of Advanced Science Facilities Shenzhen 518107China State Key Laboratory of Coal Conversion Institute of Coal ChemistryChinese Academy of SciencesTaiyuan 030001China State Key Laboratory of Particle Detection and Electronics Institute of High Energy PhysicsChinese Acade

With the advancement of modern science and technology, large scientific facilities are increasingly oriented toward demand and application, and can be used for basic research as well as serving multiple disciplines. Developing large scientific facilities and related analytical technologies enhances understanding of large scientific facilities and popularizes their application in research across multiple disciplines. The combination of light or neutron sources from large scientific facilities and advanced analytical technologies can be achieved for materials structure information, dynamics study of chemical reactions, high dissociation of biomolecules, 3D visualization of energy materials or biological samples, etc. We first introduce the progress of domestic large scientific facilities of synchrotron radiation(SR) and free electron lasers(FELs) with different wavelengths and neutron *** further discuss the comparison between Chinese and typical foreign facilities in X-ray radiation from X-ray tubes, synchrotrons, X-ray FELs, and neutron sources based on physical parameters of light and neutron sources. In addition, we focus on the technological progress and perspectives combined with advanced X-ray radiation and neutron sources of large scientific facilities in China, especially in the nanoscience fields of energy catalysis and biological science. We hope that this roadmap will provide references on technology and methods to experimental users, as well as prospects for future development of technologies based on large research infrastructure facilities. Comprehensive studies and guidelines for basic research to practical application in various disciplines can be made with the assistance of large scientific facilities.

关键词： large scientific facilities synchrotron radiation FEL light sources neutron sources spectroscopic analysis methods X-ray imaging techniques structural information chemical dynamics

同方期刊数据库

考虑流量变化的并联给水水泵变频调速节能集中控制方法

在线全文

学校读者我要写书评

暂无评论

沈阳工程学院学报（自然科学版） 2024年第2期20卷 48-53页

作者：张书瀚中铁十八局集团产业发展有限公司天津300000

针对建筑供水中的并联给水水泵工作效率问题,提出流量变化的并联给水水泵变频调速节能集中控制方法。首先,采用无量纲理论对并联给水水泵的运行工况进行分析,划分变频模式和调节模式,根据调频时间和调节模式建立变频调速函数;其次,在整... 详细信息

针对建筑供水中的并联给水水泵工作效率问题,提出流量变化的并联给水水泵变频调速节能集中控制方法。首先,采用无量纲理论对并联给水水泵的运行工况进行分析,划分变频模式和调节模式,根据调频时间和调节模式建立变频调速函数;其次,在整体响应约束下确定并联装置和给水水泵调频参量;再次,在假设存在平衡点的情况下,确定流量变化形式,建立节能集中调控的流量变动方程;最后,确定水泵高效控制区间,针对水泵运行规律的相似性实现集中节能控制方法设计。实验结果表明:新方法能够有效控制并联水泵的扬程和工作效率,实现并联给水水泵的工作目标,具有应用价值。

关键词：集中控制变频调速流量变化并联给水水泵