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NONLINEAR DECOUPLING CONTROL STUDY FOR AIRCRAFT MANEUVERING FLIGHT

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Chinese Journal of Aeronautics 1993年第3期 170-177页

作者： Wang Li-xin,Hu zhao-feng (Faculty 509 of Beijing University of Aeronautics and Astronautics, Beijing,China,100083)

Based on the 12-state nonlinear aircraft dynamic model, a nonlinear decoupling controllaw which contains command static error integral loop is designed by combiningnonlinear inverse dynamics theory and modern optimal control theory. This control lawcould minimize the performance index which contains the weighted state variables, controlvariables and their varying rates. Using this control law, the aircraft could capture the desiredflight state more accurately and decouple the motions more completely with smoothcontrol responses and less control energy. As the control law more accurately representsthe nonlinear factors that arise in aircraft dynamic model and remedies the degrading ofaircraft nonlinear dynamical behavior during maneuvering flight, it offers the potential forproviding high levels of handling quality and flight performance in the entire flight envelopeof the aircraft.

关键词： NONLINEAR DECOUPLING CONTROL STUDY FOR AIRCRAFT MANEUVERING FLIGHT Wang As

Distribution of Metabolites in Root Barks of Seven Tree Peony Cultivars for Quality Assessment Using NMR-based Metabolomics

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Chinese Herbal Medicines 2017年第1期9卷 31-41页

作者： Pei Wang Ze-ming Rong Cui-xia Ma xin-feng zhao Chao-ni Xiao Xiao-hui Zheng Key Laboratory of Resource Biology and Biotechnology in Western China Ministry of Education College of Life Sciences Northwest University Xi'an 710069 China

Objective To determine the distribution of metabolites in the root barks of different tree peony cultivars for quality assessment. Methods Seven tree peony phenotypic cultivars with different colors were systematically analyzed using NMR-based metabolomics. Results A total of 16 metabolites from their methanol extracts were simultaneously identified and quantified, including one primary metabolite （sucrose） and 15 secondary ones （acetophenones, phenolics, monoterpene glycosides, flavonoids, and unsaturated fatty acids）. The quantitative data indicated that sucrose （90-180 mg/g） and acetophenones （15-100 mg/g）, and non-phenolics, monoterpene glycosides, flavonoids, and unsaturated fatty acids （2-15 mg/g） were the major metabolites in these tree peony cultivars. The significantly increasing levels of paeonoside with bioactivity were observed in ＂Xiangyu＂, ＂Wujinyaohui＂, ＂Roufurong＂, ＂Yaohuang＂, ＂zhaofen＂, ＂Doulu＂, and ＂Yingrihong＂ in order. Opposite trends in the levels of paeonoside and paeonol were observed in ＂Xiangyu＂ and ＂Yingrihong＂, suggesting that the changes of the secondary metabolites in plants were influenced by primary metabolites, such as sucrose/glucose, and the different physiological processes occurred in different tree peony cultivars. Conclusion ＂Yingrihong＂ with red flower has the highest medicine quality whereas ＂Xiangyu＂ with white flower has the worst one based on the content of paeonoside.

关键词： metabolomics NMR quality assessment tree peony

Understanding the local structure and thermophysical behavior of Mg-La liquid alloys via machine learning potential

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 439-449页

作者： Jia zhao Taixi feng Guimin Lu National Engineering Research Center for Integrated Utilization of Salt Lake Resource East China University of Science and TechnologyShanghai 200237China Joint International Laboratory for Potassium and Lithium Strategic Resources East China University of Science and TechnologyShanghai 200237China

The local structure and thermophysical behavior of Mg-La liquid alloys were in-depth understood using deep potential molecular dynamic(DPMD) simulation driven via machine learning to promote the development of Mg-La alloys. The robustness of the trained deep potential(DP) model was thoroughly evaluated through several aspects, including root-mean-square errors(RMSEs), energy and force data, and structural information comparison results;the results indicate the carefully trained DP model is reliable. The component and temperature dependence of the local structure in the Mg-La liquid alloy was analyzed. The effect of Mg content in the system on the first coordination shell of the atomic pairs is the same as that of temperature. The pre-peak demonstrated in the structure factor indicates the presence of a medium-range ordered structure in the Mg-La liquid alloy, which is particularly pronounced in the 80at% Mg system and disappears at elevated temperatures. The density, self-diffusion coefficient, and shear viscosity for the Mg-La liquid alloy were predicted via DPMD simulation, the evolution patterns with Mg content and temperature were subsequently discussed, and a database was established accordingly. Finally, the mixing enthalpy and elemental activity of the Mg-La liquid alloy at 1200 K were reliably evaluated,which provides new guidance for related studies.

关键词： magnesium-lanthanum liquid alloys local structure macroscopic properties thermodynamic behavior deep potential mo-lecular dynamic simulation

Defect Engineering:Can it Mitigate Strong Coulomb Effect of Mg^(2+)in Cathode Materials for Rechargeable Magnesium Batteries?

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Nano-Micro Letters 2025年第1期17卷 135-159页

作者： Zhengqing Fan Ruimin Li xin Zhang Wanyu zhao Zhenghui Pan Xiaowei Yang School of Chemistry and Chemical Engineering Shanghai Jiao Tong UniversityShanghai 200240People’s Republic of China School of Chemistry and Chemical Engineering Taiyuan University of TechnologyTaiyuan 030024People’s Republic of China School of Materials Science and Engineering Tongji UniversityShanghai 201804People’s Republic of China

Rechargeable magnesium batteries(RMBs)have been considered a promising“post lithium-ion battery”system to meet the rapidly increasing demand of the emerging electric vehicle and grid energy storage ***,the sluggish diffusion kinetics of bivalent Mg^(2+)in the host material,related to the strong Coulomb effect between Mg^(2+)and host anion lattices,hinders their further development toward practical *** engineering,regarded as an effective strategy to break through the slow migration puzzle,has been validated in various cathode materials for *** this review,we first thoroughly understand the intrinsic mechanism of Mg^(2+)diffusion in cathode materials,from which the key factors affecting ion diffusion are further ***,the positive effects of purposely introduced defects,including vacancy and doping,and the corresponding strategies for introducing various defects are *** applications of defect engineering in cathode materials for RMBs with advanced electrochemical properties are also ***,the existing challenges and future perspectives of defect engineering in cathode materials for the overall high-performance RMBs are described.

关键词： Rechargeable magnesium battery Sluggish diffusion kinetic Defect engineering Cathode materials Ion migration

乳酸菌在牡蛎酶解液中的生长特性及发酵条件优化

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中国食品学报 2017年第8期17卷 109-118页

作者：曾少葵骆萧伟章超桦冯欣赵旭东施雯广东海洋大学食品科技学院广东省水产品加工与安全重点实验室水产品深加工广东普通高等学校重点实验室广东湛江524088

以牡蛎酶解液为原料,通过测定培养液中OD值及乳酸菌数,探讨保加利亚乳杆菌、嗜热链球菌及干酪乳杆菌的生长特性。以滴定酸度、p H值为指标,通过神经网络平台建立这3株乳酸菌混合发酵牡蛎酶解液的神经网络模型,拟合确定发酵的最适宜条件... 详细信息

以牡蛎酶解液为原料,通过测定培养液中OD值及乳酸菌数,探讨保加利亚乳杆菌、嗜热链球菌及干酪乳杆菌的生长特性。以滴定酸度、p H值为指标,通过神经网络平台建立这3株乳酸菌混合发酵牡蛎酶解液的神经网络模型,拟合确定发酵的最适宜条件。试验结果表明:3种乳酸菌被驯化后延滞期缩短,稳定期延长;保加利亚乳杆菌和嗜热链球菌的最适生长温度均为40℃,而干酪乳杆菌在36℃时生长繁殖最快。通过神经网络模型优化的这3株乳酸菌发酵牡蛎酶解液的条件:保加利亚乳杆菌、嗜热链球菌和干酪乳杆菌混合比例4∶2∶1,接种量(体积分数)7%,发酵温度40℃,发酵时间7 h。按此条件接种乳酸菌混合发酵7 h,牡蛎酶解液的滴定酸度为51.8°T,p H 4.41。

关键词：乳酸菌牡蛎酶解液生长特性神经网络发酵条件

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基于胰腺脱细胞基质的胰腺腺泡细胞体外培养

中华实验外科杂志 2018年第3期35卷 460-462页

作者：王心冯健李照杜沟天津医科大学代谢病医院内分泌研究所卫生部激素与发育重点实验室天津市代谢性疾病重点实验室 300070 天津市中西医结合医院急诊科 300100 北京大学人民医院肝胆外科 100044 天津医科大学公共卫生学院 300070

目的体外评估大鼠天然全胰腺脱细胞3D支架（3D-APB）促进种植细胞增殖和分化的功能。方法利用改良灌注技术制备大鼠3D-APB，随即将实验分为4组，评估培养后第3、5、7、10天细胞的增殖活性及细胞分化功能。结果3D-APB组细胞增殖率高于其... 详细信息

目的体外评估大鼠天然全胰腺脱细胞3D支架（3D-APB）促进种植细胞增殖和分化的功能。方法利用改良灌注技术制备大鼠3D-APB，随即将实验分为4组，评估培养后第3、5、7、10天细胞的增殖活性及细胞分化功能。结果3D-APB组细胞增殖率高于其他3组（P＝0.011），而凋亡率低于其余3组（P＝0.017），且差异有统计学意义；3D-APB组胰十二指肠同源结构域转录因子（PDX-1）和胰腺外分泌转录因子（PTF-1）蛋白表达均高于其余3组，且差异有统计学意义（PPDX-1＝0.013，PPTF-1＝0.012）；3D-APB组PDX-1和PTF-1基因表达含量均高于其余3组，且差异有统计学意义（PPDX-1＝0.013，PPTF-1＝0.012）。结论3D-APB更有利于促进细胞增殖及分化，更适合应用于再生医学领域。

关键词：脱细胞基质胰腺腺泡细胞增殖分化

鄂尔多斯盆地下奥陶统碳酸盐岩有机相类型及生烃潜力

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沉积学报 1999年第4期17卷 638-643页

作者：夏新宇洪峰赵林张文正石油勘探开发科学研究院北京100083 长庆石油勘探局实验室西安710021

对鄂尔多斯盆地下奥陶统马家沟组碳酸盐岩的各种沉积环境的有机相特征进行了研究,结果表明平均有机碳丰度最高的是陆缘斜坡相碳酸盐岩(0.26%),其次是膏盐湖(0.22%)、膏云坪(0.21%),而开阔海、云坪和滩等环境的碳酸盐岩有机碳平均含量较... 详细信息

对鄂尔多斯盆地下奥陶统马家沟组碳酸盐岩的各种沉积环境的有机相特征进行了研究,结果表明平均有机碳丰度最高的是陆缘斜坡相碳酸盐岩(0.26%),其次是膏盐湖(0.22%)、膏云坪(0.21%),而开阔海、云坪和滩等环境的碳酸盐岩有机碳平均含量较低(<0.20%);碳酸盐岩干酪根样品多数为富氧、贫氢,显示其有机质类型较差;岩石地球化学特征和生物化石特征反映出陆缘斜坡处于相对还原的环境,而其他沉积环境则为氧化环境。鄂尔多斯盆地下奥陶统的大部分碳酸盐岩处于生烃潜力较差的C～D相。从有机质数量、有机相类型来判断,鄂尔多斯盆地下奥陶统碳酸盐岩不是好烃源岩,难以形成具有一定规模的气田。

关键词：碳酸盐岩有机相生烃潜力鄂尔多斯盆地气藏

Identification of metabolites of the main bioactive components in Compound Danshen Dripping Pills and determination of Danshensu in different rabbit viscera by SPE-HPLC-MS/MS

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Identification of metabolites of the main bioactive componen...

Single-cell omics: experimental workflow, data analyses and applications

2005年杭州药物代谢国际研讨会

作者： Xiao-hui Zheng Jian-bin Zheng xin-feng zhao xin zhao and Hong-bo Lu Institute of Analytical Science/ShaanXi Provincial Key Lab of Electroanalytical Chemistry Northwest University Xi’an ShaanXi China Engineering and Reasearch Center of Chinese Herb Modernization Xi’an Jaotong University Xi’an ShaanXi China

＜正＞A fast and valid solid phase extract-high performance liquid chromatography-trap mass spectrometry （SPE-HPLC-trap MS） method has been developed for quantitative determination of Danshensu and qualitative analy... 详细信息

关键词： Compound Danshen Dripping Pills Danshensu metabolites

来源： cnki会议评论

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Science China Life Sciences 2025年第1期68卷 5-102页

作者： fengying Sun Haoyan Li Dongqing Sun Shaliu Fu Lei Gu xin Shao Qinqin Wang xin Dong Bin Duan Feiyang xing Jun Wu Minmin Xiao Fangqing zhao Jing-Dong J.Han Qi Liu Xiaohui Fan Chen Li Chenfei Wang Tieliu Shi Department of Clinical Laboratory the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City) Pharmaceutical Informatics Institute College of Pharmaceutical SciencesZhejiang University Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University) Ministry of EducationOrthopaedic DepartmentTongji HospitalBioinformatics DepartmentSchool of Life Sciences and TechnologyTongji University Frontier Science Center for Stem Cells School of Life Sciences and TechnologyTongji University Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine Shanghai East HospitalBioinformatics DepartmentSchool of Life Sciences and TechnologyTongji University Research Institute of Intelligent Computing Zhejiang Lab Shanghai Research Institute for Intelligent Autonomous Systems Center for Single-cell Omics School of Public HealthShanghai Jiao Tong University School of Medicine National Key Laboratory of Chinese Medicine Modernization Innovation Center of Yangtze River DeltaZhejiang University Center for Bioinformatics and Computational Biology Shanghai Key Laboratory of Regulatory Biologythe Institute of Biomedical Sciences and School of Life SciencesEast China Normal University Beijing Institutes of Life Science Chinese Academy of Sciences Peking-Tsinghua Center for Life Sciences Academy for Advanced Interdisciplinary StudiesCenter for Quantitative Biology (CQB)Peking University Zhejiang Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases Women's HospitalZhejiang University School of Medicine Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE School of StatisticsEast China Normal University

Cells are the fundamental units of biological systems and exhibit unique development trajectories and molecular features. Our exploration of how the genomes orchestrate the formation and maintenance of each cell, and control the cellular phenotypes of various organismsis, is both captivating and intricate. Since the inception of the first single-cell RNA technology, technologies related to single-cell sequencing have experienced rapid advancements in recent years. These technologies have expanded horizontally to include single-cell genome, epigenome,proteome, and metabolome, while vertically, they have progressed to integrate multiple omics data and incorporate additional information such as spatial sc RNA-seq and CRISPR screening. Single-cell omics represent a groundbreaking advancement in the biomedical field,offering profound insights into the understanding of complex diseases, including cancers. Here, we comprehensively summarize recent advances in single-cell omics technologies, with a specific focus on the methodology section. This overview aims to guide researchers in selecting appropriate methods for single-cell sequencing and related data analysis.

关键词： single-cell sequencing genome epigenome proteomics metabolomics multimodal spatial transcriptomics CRISPR screening