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宅园一体的功能架构与彼此相望的观照之法——试析艺圃空间结构及其转化

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建筑学报 2024年第7期 119-124页

作者：朱雷东南大学建筑学院南京210096

从明清园林“方池与曲水”之辨出发,以苏州艺圃为例,重溯文氏药圃之义,回归宅园一体的现实功能架构,解读其所包含的空间结构脉络及演化特征。揭示一种园林景观与日常起居直面相对的生活态度、水平展开的空间结构,以及彼此相望的观看方式... 详细信息

从明清园林“方池与曲水”之辨出发,以苏州艺圃为例,重溯文氏药圃之义,回归宅园一体的现实功能架构,解读其所包含的空间结构脉络及演化特征。揭示一种园林景观与日常起居直面相对的生活态度、水平展开的空间结构,以及彼此相望的观看方式;由此回应艺圃依旧不断变化的功能环境,容纳并产生新的园林活动与审美。

关键词：古典园林艺圃方池水平性结构观法构图

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1例病情进展迅速的重症肺炎的诊治体会

复旦学报（医学版） 2024年第3期51卷 415-419页

作者：徐帆朱蕾北京大学人民医院重症医学科北京100044 复旦大学附属华东医院呼吸与危重医学科上海200040

新冠病毒感染常态化管理后,不同病原体感染所致重症肺炎的发病率较高,由于病情进展迅速或短期难以获得病原学依据,导致部分患者较难选择有效的针对性药物。临床常给予多种抗感染药物,联合糖皮质激素抗炎、丙种球蛋白等提高免疫功能的“... 详细信息

新冠病毒感染常态化管理后,不同病原体感染所致重症肺炎的发病率较高,由于病情进展迅速或短期难以获得病原学依据,导致部分患者较难选择有效的针对性药物。临床常给予多种抗感染药物,联合糖皮质激素抗炎、丙种球蛋白等提高免疫功能的“广覆盖治疗”及呼吸支持治疗,但死亡率较高。复旦大学附属华东医院近期收治1例基础情况好的青年非重症社区获得性肺炎(community-acquired pneumonia,CAP)患者,入院后患者病情迅速加重,十余小时后演变为重度急性呼吸窘迫综合征,且淋巴细胞下降,采用前述“广覆盖治疗”无效,经合理的生理学和生物学分析,迅速调整为以短期大剂量激素和分级无创呼吸支持为主的综合治疗,患者病情迅速好转,淋巴细胞短暂下降后迅速恢复,未出现其他明显不良反应,10日后痊愈出院。该例患者的诊治经验可为CAP的诊治提供参考。

关键词：社区获得性肺炎(CAP) 急性呼吸窘迫综合征(ARDS) 生理学分析炎症指标糖皮质激素

发根农杆菌介导的甜瓜CRISPR/Cas9系统靶位点的检测

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中国瓜菜 2024年第8期37卷 15-23页

作者：朱蕾黑龙江省农业科学院大庆分院黑龙江大庆163711

选取甜瓜栽培材料龙庆八号作为受体材料,构建CmCURT1A基因CRISPR/Cas9基因编辑载体,经发根农杆菌介导检测靶位点的编辑情况,为后续甜瓜遗传转化试验提供载体基础。以甜瓜CmCURT1A基因(ID:MELO3C006053.2)为靶基因构建双靶位点敲除载体,... 详细信息

选取甜瓜栽培材料龙庆八号作为受体材料,构建CmCURT1A基因CRISPR/Cas9基因编辑载体,经发根农杆菌介导检测靶位点的编辑情况,为后续甜瓜遗传转化试验提供载体基础。以甜瓜CmCURT1A基因(ID:MELO3C006053.2)为靶基因构建双靶位点敲除载体,经发根农杆菌K599介导的简单遗传转化技术使甜瓜组织长出不定根,经PCR测序发现在不定根中分别存在65 bp、72 bp不同碱基片段的缺失。该方法成功进行了甜瓜CRISPR/Cas9载体靶位点敲除情况的检测,简单高效,实现了在甜瓜中基因编辑靶点的快速鉴定,为研究甜瓜基因功能和遗传改良奠定基础。

关键词：甜瓜 CRISPR/Cas9 发根农杆菌基因敲除

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蒙汉交融视角下的元代棕毛殿考证研究

黑龙江民族丛刊 2024年第3期 119-126页

作者：朱蕾内蒙古大学呼和浩特010021

棕毛殿,又称棕殿,为元代宫殿建筑中非常重要又极具特色的组成部分之一,常出现在元代的史籍中。通过对文献史籍的爬梳,结合考古发掘与石刻资料,对元上都和元大都并存的棕毛殿进行进一步的探讨与考证,可见棕毛殿为蒙汉交融的多元文化在元... 详细信息

棕毛殿,又称棕殿,为元代宫殿建筑中非常重要又极具特色的组成部分之一,常出现在元代的史籍中。通过对文献史籍的爬梳,结合考古发掘与石刻资料,对元上都和元大都并存的棕毛殿进行进一步的探讨与考证,可见棕毛殿为蒙汉交融的多元文化在元代建筑中的一种特殊表达。棕毛殿的形成与发展过程,始终与民族交流交往交融的历史背景和文化紧密相连。因此,将元代棕毛殿的考证研究置于蒙汉民族融合视角下来分析,能够更深层次的阐释其历史文化变迁,厘清其肇源、建造形制、功能,及其在元代两都城存在中的异同。

关键词：棕毛殿元代诈马宴蒙汉交融 “三交”

Deep learning-based recognition of stained tongue coating images

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Digital Chinese Medicine 2024年第2期7卷 129-136页

作者： ZHONG Liqin XIN Guojiang PENG Qinghua CUI Ji zhu lei LIANG Hao Institute of Traditional Chinese Medicine Diagnostics Hunan University of Chinese MedicineChangshaHunan 410208China Hunan Provincial Key Laboratory of Diagnostic Research in Chinese Medicine Hunan University of Chinese MedicineChangshaHunan 410208China School of Information Science and Engineering Hunan University of Chinese MedicineChangshaHunan 410208China School of Basic Medicine Shanghai University of Traditional Chinese MedicineShanghai 201203China

Objective To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating *** A total of 1001 images of stained tongue coating from healthy students at Hunan University of Chinese Medicine and 1007 images of pathological(non-stained)tongue coat-ing from hospitalized patients at The First Hospital of Hunan University of Chinese Medicine withlungcancer;diabetes;***-zed into the training;validation;and testing datasets in a 7:2:1 ratio.A deep learning model was constructed using the ResNet50 for recognizing stained tongue coating in the training and validation *** training period was 90 *** model’s performance was evaluated by its accuracy;loss curve;recall;F1 score;confusion matrix;receiver operating characteristic(ROC)curve;and precision-recall(PR)curve in the tasks of predicting stained tongue coating images in the testing *** accuracy of the deep learning model was compared with that of attending physicians of traditional Chinese medicine(TCM).Results The training results showed that after 90 epochs;the model presented an excellent classification *** loss curve and accuracy were stable;showing no signs of *** model achieved an accuracy;recall;and F1 score of 92%;91%;and 92%;*** confusion matrix revealed an accuracy of 92%for the model and 69%for TCM *** areas under the ROC and PR curves were 0.97 and 0.95;*** The deep learning model constructed using ResNet50 can effectively recognize stained coating images with greater accuracy than visual inspection of TCM *** model has the potential to assist doctors in identifying false tongue coating and prevent-ing misdiagnosis.

关键词： Deep learning Tongue coating Stained coating Image recognition Traditional Chinese medicine(TCM) Intelligent diagnosis

Evading strength−ductility trade-off of GH605 alloy using magnetic field-assisted undercooling treatment

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Transactions of Nonferrous Metals Society of China 2024年第8期34卷 2575-2588页

作者： Yi-xuan HE Fan BU Zhang-chi BIAN Ming-xiu XIANG Meng-meng ZHOU Xu-dong LIU lei zhu Jun WANG Jin-shan LI State Key Laboratory of Solidification Processing Northwestern Polytechnical UniversityXi’an 710072China Center of Advanced Lubrication and Seal Materials Northwestern Polytechnical UniversityXi’an710072China Collaborative Innovation Center of NPU Shanghai 201108China Institute of Superconducting Materials and Applied Technology Northwestern Polytechnical UniversityXi’an 710072China Shaanxi Key Laboratory of Electrical Materials and Infiltration Technology Xi’an University of TechnologyXi’an 710048China

Undercooling solidification under a magnetic field(UMF)is an effective way to tailor the microstructure and properties of Co-based *** this study,by attributing to the UMF treatment,the strength−ductility trade-off dilemma in GH605 superalloy is successfully *** UMF treatment can effectively refine the grains and increase the solid solubility,leading to the high yield *** main deformation mechanism in the as-forged alloy is dislocation *** contrast,multiple deformation mechanisms,including stacking faults,twining,dislocation slipping,and their strong interactions are activated in the UMF-treated sample during compression deformation,which enhances the strength and ductility *** addition,the precipitation of hard Laves phases along the grain boundaries can be obtained after UMF treatment,hindering crack propagation during compression deformation.

关键词： undercooling treatment magnetic field GH605 alloy strengthening mechanisms

基于GUM法的风电叶片结构试验方法不确定度研究

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太阳能学报 2024年第5期45卷 126-132页

作者：邢海瑞傅程朱雷中国船级社质量认证有限公司北京100010

针对风电叶片全尺寸结构试验方法,首先分析试验过程中所需测量物理量的不确定度因素来源;其次利用GUM法建立不确定度数学模型,然后评定各部分输入量的标准不确定度;最后分析得到叶片结构试验各测试物理量的合成标准不确定度和扩展不确定... 详细信息

针对风电叶片全尺寸结构试验方法,首先分析试验过程中所需测量物理量的不确定度因素来源;其次利用GUM法建立不确定度数学模型,然后评定各部分输入量的标准不确定度;最后分析得到叶片结构试验各测试物理量的合成标准不确定度和扩展不确定度,从而建立风电叶片试验不确定度的系统评价方法。

关键词：风力机叶片不确定度分析全尺寸结构试验 GUM法

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时变指向约束下姿态参数空间离散化路径规划方法

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宇航学报 2024年第3期45卷 352-365页

作者：朱哲徐瑞李朝玉朱圣英龙嘉腾朱雷北京理工大学深空探测技术研究所北京100081 深空自主导航与控制工信部重点实验室(北京理工大学) 北京100081 上海航天控制技术研究所上海201109

为满足深空探测器在复杂动态环境约束下的姿态机动任务需求,解决时变指向约束下姿态路径规划求解困难、路径优化性能差的问题,提出了一种基于修正罗德里格斯参数(MRP)和动态路径搜索的姿态参数空间离散化路径规划方法。通过MRP空间的笛... 详细信息

为满足深空探测器在复杂动态环境约束下的姿态机动任务需求,解决时变指向约束下姿态路径规划求解困难、路径优化性能差的问题,提出了一种基于修正罗德里格斯参数(MRP)和动态路径搜索的姿态参数空间离散化路径规划方法。通过MRP空间的笛卡尔网格划分和非奇异空间构建,实现航天器姿态的参数空间离散化和指向约束表征。考虑指向约束的时变动态特性,在三维动态空间中搜索初始到目标姿态的机动路径,并引入路径节点的时间特性,在约束冲突时对路径进行实时修正,设计非奇异空间时变约束路径搜索算法,生成执行路径节点序列。进一步,对生成的路径节点进行插值拟合,基于逆动力学方法计算角速度和控制力矩,完成姿态机动轨迹规划。仿真结果验证了该方法的有效性,可为深空探测器在时变指向约束下规划出姿态机动执行路径。

关键词：航天器姿态规划姿态参数离散化时变指向约束路径搜索算法

Coping with the concurrent heatwaves and ozone extremes in China under a warming climate

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SCIENCE BULLETIN 2024年第18期69卷 2938-2947页

作者： Li, Mengmeng Huang, Xin Yan, Dan Lai, Shiyi Zhang, Zihan zhu, lei Lu, Yuting Jiang, Xinyi Wang, Nan Wang, Tijian Song, Yu Ding, Aijun Nanjing Univ Sch Atmospher Sci Nanjing 210023 Peoples R China Frontiers Sci Ctr Crit Earth Mat Cycling Nanjing 210023 Peoples R China Southern Univ Sci & Technol Sch Environm Sci & Engn Shenzhen 518055 Peoples R China Guangdong Prov Observat & Res Stn Coastal Atmosphe Shenzhen 518055 Peoples R China Sichuan Univ Coll Carbon Neutral Future Technol Chengdu 610044 Peoples R China Peking Univ Dept Environm Sci Beijing 100871 Peoples R China

Intensive human activity has brought about unprecedented climate and environmental crises, in which concurrent heatwaves and ozone extremes pose the most serious threats. However, a limited understanding of the comprehensive mechanism hinders our ability to mitigate such compound events, especially in densely populated regions like China. Here, based on field observations and climate-chemistry coupled modelling, we elucidate the linkage between human activities and the climate system in heat-related ozone pollution. In China, we have observed that both the frequency and intensity of heatwaves have almost tripled since the beginning of this century. Moreover, these heatwaves are becoming more common in urban clusters with serious ozone pollution. Persistent heatwaves during the extremely hot and dry summers of 2013 and 2022 accelerated photochemical ozone production by boosting anthropogenic and biogenic emissions, and aggravated ozone accumulation by suppressing dry deposition due to water-stressed vegetation, leading to a more than 30% increase in ozone pollution in China's urban areas. The sensitivity of ozone to heat is demonstrated to be substantially modulated by anthropogenic emissions, and China's clean air policy may have altered the relationship between ozone and temperature. Climate model projections further highlight that the high-emission climate-socioeconomic scenario tends to intensify the concurrent heat and ozone extremes in the next century. Our results underscore that the implementation of a strict emission strategy will significantly reduce the co-occurrence of heatwaves and ozone extremes, achieving climate and environmental co-benefits. (c) 2024 Science China Press. Published by Elsevier B.V. and Science China Press. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

关键词： Heatwave Ozone Biogenic emission Dry deposition Ozone-temperature sensitivity DRY DEPOSITION AIR-QUALITY LAND-COVER HEAT WAVES EMISSIONS ISOPRENE SUMMER IMPACT TEMPERATURE FREQUENT