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GEOSatDB:global civil earth observation satellite semantic database

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Big Earth Data 2024年第3期8卷 522-539页

作者： Ming lin Meng Jin Juanzi Li yuqi Bai Department of Earth System Science Institute for Global Change StudiesMinistry of Education Ecological Field Station for East Asian Migratory BirdsTsinghua UniversityBeijingChina Department of Computer Science and Technology Tsinghua UniversityBeijingChina Tsinghua Urban Institute Tsinghua UniversityBeijingChina

Satellite remote sensing,characterized by extensive coverage,fre-quent revisits,and continuous monitoring,provides essential data support for addressing global *** the past six decades,thousands of Earth observation satellites and sensors have been deployed *** valuable Earth observation assets are contributed independently by various nations and organizations employing diverse *** poses a significant challenge in effectively discovering global Earth observation resources and realizing their full *** this paper,we describe the develop-ment of GEOSatDB,the most complete semantic database of civil Earth observation satellites developed based on a unified ontology model.A similarity matching method is used to integrate satellite information and a prompt strategy is used to extract unstructured sensor *** resulting semantic database contains 127,949 semantic statements for 2,340 remote sensing satellites and 1,021 observation *** global Earth observation capabil-ities of 195 countries worldwide have been analyzed in detail,and a concrete use case along with an associated query demonstration is *** database provides significant value in effectively facilitating the semantic understanding and sharing of Earth observa-tion resources.

关键词： Earth observation satellite sensor semantic representation information extraction

Satellite and instrument entity recognition using a pre-trained language model with distant supervision

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International Journal of Digital Earth 2022年第1期15卷 1290-1304页

作者： Ming lin Meng Jin Yufu Liu yuqi Bai Department of Earth System Science Institute for Global Change StudiesMinistry of Education Ecological Field Station for East Asian Migratory BirdsTsinghua UniversityBeijingPeople’s Republic of China

Earth observations,especially satellite data,have produced a wealth of methods and results in meeting global challenges,often presented in unstructured texts such as papers or *** extraction of satellite and instrument entities from these unstructured texts can help to link and reuse Earth observation *** direct use of an existing dictionary to extract satellite and instrument entities suffers from the problem of poor matching,which leads to low *** this study,we present a named entity recognition model to automatically extract satellite and instrument entities from unstructured *** to the lack of manually labeled data,we apply distant supervision to automatically generate labeled training ***,we fine-tune the pre-trained language model with early stopping and a weighted cross-entropy loss *** propose the dictionary-based self-training method to correct the incomplete annotations caused by the distant supervision *** demonstrate that our method achieves significant improvements in both precision and recall compared to dictionary matching or standard adaptation of pre-trained language models.

关键词： Earth observation named entity recognition pre-trained language model distant supervision dictionary-based self-training

在用机动车基于台架试验CO_(2)排放因子研究

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南京信息工程大学学报（自然科学版） 2022年第2期14卷 156-166页

作者：王谦曹芳付明亮苏盛王明伟赵祝钰林煜棋章炎麟南京信息工程大学应用气象学院/耶鲁-南京信息工程大学大气环境中心南京210044 中国环境科学研究院国家环境保护机动车污染控制与模拟重点实验室北京100012 中国环境科学研究院生态环境部机动车排污监控中心北京100012 厦门环境保护机动车污染控制技术中心厦门361023

本研究选取14辆中国目前常用的在用轻型和重型机动车,利用底盘测功机,分别在WLTC(世界轻型车测试程序)和C-WTVC(中国重型商用车辆瞬态循环)工况的冷启动程序下,测试CO_(2)排放因子,同时研究了相应的油耗,并比较不同的影响因素.结果表明... 详细信息

本研究选取14辆中国目前常用的在用轻型和重型机动车,利用底盘测功机,分别在WLTC(世界轻型车测试程序)和C-WTVC(中国重型商用车辆瞬态循环)工况的冷启动程序下,测试CO_(2)排放因子,同时研究了相应的油耗,并比较不同的影响因素.结果表明:机动车CO_(2)排放因子受到排量、冷热启动、燃料和驾驶路段的影响;机动车在城市路段冷启动条件下油耗最高,导致CO_(2)排放因子更高,比全工况冷启动和城市路段热启动条件下分别高出了26.6%~199.7%和8.3%~35.5%;高排量重型柴油货车在市区油耗更高,导致CO_(2)排放因子大幅增加,因此禁止大排量重型柴油货车进入市区能有效控制CO_(2)排放;使用液化石油气替代燃油会降低机动车CO_(2)的排放,液化石油气公交车和出租车在城市路段的CO_(2)排放分别降低37.2%和12.1%,而高速路段则分别降低51.8%和20.3%;当前更为符合道路实际的WLTC工况依旧会对中国实际道路轻型机动车CO_(2)排放因子和油耗分别产生31%~46%和17.7%~26.8%的低估.为了得到更为准确的排放因子数据,我国须加快工况的本土化改良.

关键词：机动车 CO_(2) 排放因子台架试验温室气体油耗

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浙西名医吴古年临证经验探析

中医文献杂志 2023年第2期41卷 37-39页

作者：林雨琪黄瑶马凤岐白钰陈永灿浙江省立同德医院杭州310007 浙江中医药大学杭州310053 杭州电子科技大学杭州310018

通过研读《吴古年医案》,总结清代医家吴古年治疗血证、咳嗽、温病的临证经验。吴古年治疗血证,保其津液为要;治疗咳嗽,重视脾胃为本;治疗温病,活用透邪之法。

关键词：吴古年医案血证咳嗽温病临证经验

基于旋量理论的被动式跟踪测量系统误差分析与补偿

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仪器仪表与分析监测 2023年第1期 19-26页

作者：林钰淇张记云任伟鹏陈天赐娄志峰大连理工大学机械工程学院辽宁大连116024

被动式跟踪测量系统由一个二维旋转平台和一个径向伸缩机构组成,用于测量目标的空间坐标。伸缩机构的末端固定有一个标准球,该标准球被目标磁吸,其径向位移由直线光栅尺测量。二维转盘的旋转角度由两个各自的圆形光栅测量。分析了被动... 详细信息

被动式跟踪测量系统由一个二维旋转平台和一个径向伸缩机构组成,用于测量目标的空间坐标。伸缩机构的末端固定有一个标准球,该标准球被目标磁吸,其径向位移由直线光栅尺测量。二维转盘的旋转角度由两个各自的圆形光栅测量。分析了被动式跟踪测量系统的主要误差来源,基于旋量理论建立了误差模型。最后,利用三坐标测量检测误差模型的补偿效果。经过误差补偿后,被动式跟踪测量系统在450×450×200mm空间的最大测量误差降低到132.2μm。

关键词：被动式跟踪测量系统旋量理论误差测量误差模型

Tetrahedral framework nucleic acids promote the proliferation and differentiation potential of diabetic bone marrow mesenchymal stem cell

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Chinese Chemical Letters 2024年第9期35卷 284-288页

作者： Yanjing Li Jiayin Li yuqi Chang Yunfeng lin Lei Sui Department of Prosthodontics Tianjin Medical University School and Hospital of StomatologyTianjin 300070China State Key Laboratory of Oral Diseases West China Hospital of StomatologySichuan UniversityChengdu 610041China

Diabetes mellitus considerably affects bone marrow mesenchymal stem cells(BMSCs),for example,by inhibiting their proliferation and differentiation potential,which enhances the difficulty in endogenous bone ***,effective strategies for enhancing the functions of BMSCs in diabetes have farreaching consequences for bone healing and regeneration in diabetes *** framework nucleic acids(tFNAs)are nucleic acid nanomaterials that can autonomously enter cells and regulate their *** this study,we evaluated the effects of tFNAs on BMSCs from diabetic *** found that tFNAs could promote the proliferation,migration,and osteogenic differentiation of BMSCs from rats with type 2 diabetes mellitus,and inhibited cell senescence and ***,tFNAs effectively scavenged the accumulated reactive oxygen species and activated the suppressed protein kinase B(Akt)signaling ***,we show that tFNAs can recover the proliferation and osteogenic potential of diabetic BMSCs by alleviating oxidative stress and activating Akt *** study provides a strategy for endogenous bone regeneration in diabetes and also paves the way for exploiting DNA-based nanomaterials in regenerative medicine.

关键词： Bone marrow mesenchymal stem cell Diabetes mellitus DNA-based nanomaterial Tetrahedral framework nucleic acids Endogenous bone regeneration

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IgA肾病临床分型对治疗的意义

解放军医学杂志 1992年第4期17卷 250-253页

作者：俞雨生黎磊石刘志红张景红王庆文曹玉琪林贵轩南京军区南京总医院肾脏科中国人民解放军肾病中心

总结近10年来我院所收治的463例IgA肾病患者。根据临床特征、病理、免疫病理特点、治疗反应及预后将其分为急性肾炎综合征(4.3％)、反复发作性肉眼血尿(31.1％)、孤立性肉眼血尿(7.8％)、无症状性尿检异常(34.8％)、肾病综合征(9.3％)... 详细信息

总结近10年来我院所收治的463例IgA肾病患者。根据临床特征、病理、免疫病理特点、治疗反应及预后将其分为急性肾炎综合征(4.3％)、反复发作性肉眼血尿(31.1％)、孤立性肉眼血尿(7.8％)、无症状性尿检异常(34.8％)、肾病综合征(9.3％)、非肾病性大量蛋白尿(5.8％)及高血压(6.9％)等7型。根据不同的临床亚型采取分而治之的方法,能明显提高IgA肾病的治疗效果。本文还就临床分型的依据及临床意义进行了讨论。

关键词： IgA肾病肾病综合征扁桃体摘除

Emergence of machine language: towards symbolic intelligence with neural networks

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National Science Review 2024年第4期11卷 27-30页

作者： yuqi Wang Xu-Yao Zhang Cheng-lin Liu Tieniu Tan Zhaoxiang Zhang State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of Sciences

Representation learning is a core issue in artificial intelligence (AI). Currently,there exists a disparity in the choice of representation between humans and machines. Humans rely on discrete language for communicati... 详细信息

关键词： intelligence emergence language with machine networks neural symbolic towards

Upper-ocean temperature trends in the Eastern China Seas during 1976–1996

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Journal of Oceanology and Limnology 2018年第5期36卷 1527-1536页

作者： WANG yuqi lin Xiaopei LI Ziguang Physical Oceanography Laboratory/CIMST Ocean University of China and Qingdao National Laboratory for Marine Science and TechnologyQingdao 266100China

Temperature in the Eastern China Seas(ECS), including the Bohai, Yellow, and East China seas, is crucially important with regard to weather forecasting and fishery activities of adjacent countries. Although sea surface temperature(SST) in the ECS has demonstrated a dramatically accelerated trend of warming after a regime shift(1976–1996), trends beneath the surface remain poorly understood because of the sparsity of observations. This study used in situ hydrographic data from 1976 to 1996 to examine upperocean temperature trends in the ECS. It was found that the multilevel trends show consistency with that of the surface water; i.e., warming is faster in winter than summer. However, the magnitudes of the trends weaken with increasing depth. Furthermore, the seasonal dif ference in the upper ocean is mainly associated with the warm currents in the ECS, which implies an essential contribution from horizontal advection. These phenomena could also be detected from data acquired from the routinely observed PN and 34°N sections. The spatiotemporal patterns of temperature trends in the upper ECS extend our understanding beyond the SST, especially highlighting the role of ocean dynamics in forming temperature patterns beneath the surface in comparison with atmospheric ef fects.

关键词： upper ocean temperature trends Eastern China Seas