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An Efficient Synthesis of Tertiaryaminomethylphosphonates, A Versatile Precursor for Synthesis of Glyphosate and α-Aminomethylphosphonates

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Chinese Chemical Letters 2002年第9期13卷 818-819页

作者： Liang XU Min XIA Jun chao cai Shanghai Institute of Materia Medica Chinese Academy of SciencesShanghai 200031

Reaction of simple dialkyl phosphites with symmetrical 1,3,5-trisubstituted hexahydro- triazines (HHTs) in the presence of benzyl chloride, afforded tertiaryaminomethylphosphonates in excellent yields. Glyphosate, a-... 详细信息

关键词： Glyphosate a-aminomethylphosphonate 1,3,5-hexahydrotriazine dialkylphosphite.

Synthesis and anti-inflammatory activity of gold-nanoparticle bearing a dermatan sulfate disaccharide analog

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Chinese Chemical Letters 2018年第1期29卷 81-83页

作者： Chengxiang Shang chao cai Cuixia Zhao Yuguo Du State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences School of Chemistry and Chemical Engineering Graduate University of Chinese Academy of Sciences Key Lab of Marine Drugs Ministry of Education of China School of Medicine and Pharmacy Ocean University of China

A dermatan sulfate （DS） repeating disaccharide analog, β-L-idopyranosiduronate-（1→3）-2-amino-2- deoxy-4,6-di-O-sulfo-β-D-galactopyranoside, has been convergently synthesized and successfully applied to prepare the GAG-functionalized gold glyconanoparticle. This new material exhibited good anti-inflammatory activity which was comparable to that of the drug ibuprofen incarrageenan-induced paw edema in a rat model.

关键词： L-lduronic acidGold glyconanoparticlesDermatan sulfate disaccharideAnti-inflammatoryCarbohydrates

Universal and efficient hybrid modeling and direct slicing method for additive manufacturing processes

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Advances in Manufacturing 2024年第2期12卷 300-316页

作者： Sen-Lin Wang Li-chao Zhang chao cai Ming-Kai Tang Si Chen Jiang Huang Yu-Sheng Shi State Key Laboratory of Materials Processing and Die and Mould Technology Huazhong University of Science and TechnologyWuhan430074People’s Republic of China School of Machinery and Automation Wuhan University of Science and TechnologyWuhan430081People’s Republic of China

Model design and slicing contour generation in additive manufacturing(AM)data processing face challenges in terms of efficiency and scalability when stereolithography files generated by complex functionally graded structures have millions of *** paper proposes a hybrid modeling and direct slicing method for AM to efficiently construct and handle complex three-dimensional(3D)*** 3D solids,including conformal multigradient structures,were uniformly described using a small amount of data via signed distance *** hybrid representations were quickly discretized into numerous disordered directed lines using an improved marching squares *** establishing a directional HashMap to construct the topological relationship between lines,a connecting algorithm with linear time complexity is proposed to generate slicing contours for *** method replaces the mesh reconstruction and Boolean operation stages and can efficiently construct complex conformal gradient models of arbitrary topologies through hybrid ***,the time and memory consumption of direct slicing are much lower than those of previous methods when handling hybrid models with hundreds of millions of faces after mesh reconstruction.

关键词： Additive manufacturing(AM) Hybrid modeling Direct slicing Signed distance field

Effect of Silicon on Arsenic Concentration and Speciation in Different Rice Tissues

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Pedosphere 2018年第3期28卷 511-520页

作者： LI Gang ZHENG Maozhong TANG Jianfeng SHIM Hojae cai chao Key Lab of Urban Environment and Health Institute of Urban Environment Chinese Academy of Sciences Xiamen 361021(China) Ningbo Urban Environment Observatory and Monitoring Station Ningbo 315830( China) College of Ecology and Resource Engineering Wuyi University Wuyishan 354300( China) University of Macao Taipa Macao SAR( China)

Rice is a major source of inorganic arsenic(As) exposure for billions of people worldwide. Therefore, strategies to reduce As accumulation in rice should be adopted. Silicon(Si) application can effectively mitigate As accumulation in rice. In this study, a pot experiment was performed to investigate the effect of Si on As speciation and distribution in different rice tissues. The results showed that Si addition significantly increased As and Si concentrations in soil solution and Si concentration in iron plaque formed around rice root surface, whereas As in the iron plaque was significantly decreased. Total As concentrations in the stem, leaf, husk, and brown rice were remarkably decreased by 51.9%, 31.9%, 33.8%, and 24.1%, respectively, after Si addition, and inorganic As concentrations were reduced by 52.3%, 35.5%, 50.1%, and 20.1%, respectively. Moreover, both dimethylarsinic acid concentration and percentage in rice grain were significantly elevated by Si application. Therefore, Si application is promising as a way to mitigate inorganic As accumulation in rice and to reduce consumer health risk.

关键词： arsenic accumulation contamination dimethylarsinic acid health risk inorganic arsenic iron plaque rice grain root surface

Algorithms for checking channel passing in web service choreography

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Frontiers of Computer Science 2013年第5期7卷 710-728页

作者： Hongli YANG chao cai Liyang PENG Xiangpeng ZHAO Zongyan QIU Shengchao QIN College of Computer Sciences Beijing University of Technology Beijing 100222 China Institute of Software Chinese Academy of Sciences Beijing 100080 China China Defense Science and Technology Information Center Beijing 100142 China Vancl Research Lab Beijing 100124 China Facebook Inc. California 94025 USA LMAM and Department of Informatics School of Mathematical Sciences Peking University Beijing 100871 China School of Computing University of Teesside MiddlesbroughTS 1 3BA UK

Web service choreography describes global mod- els of service interactions among a set of participants. For an interaction to be executed, the participants must know the required channel（s） used in the interaction, otherwise the ex- ecution will get stuck. Since channels are composed dynami- cally, the initial channel set of each participant is often insuf- ficient to meet the requirements. It is the responsibility of the participants to pass required channels owned （known） by one to others. Since service choreography may involve many par- ticipants and complex channel constraints, it is hard for de- signers to specify channel passing in a choreography exactly as required. We address the problem of checking whether a service choreography lacks channels or has redundant chan- nels, and how to automatically generate channel passing based on interaction flows of the service choreography in the case of channel absence. Concretely, we propose a sim- ple language Chorc, a channel interaction sub-language for modeling the channel passing aspect of service choreography. Based on the formal operational semantics of Chore, the algo- rithms for static checking of service choreography and gen- erating channel passing are also studied, and the complexity results of algorithms are discussed. Moreover, some illus- trated service choreography examples are presented to show how to formalize and analyze service choreography with channel passing in Chorc.

关键词： web service choreography channel passing al- gorithms

A Simple Synthesis of dl-Shikonin

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Chinese Chemical Letters 2002年第2期13卷 113-114页

作者： Qun LU Wen Hu DUAN Jun chao cai Shanghai Institute of Materia Medica SIBSChinese Academy of SciencesShanghai 200031

A new facile route for the synthesis of dl-shikonin is presented. Reformatsky reaction assisted cross-coupling of 1, 4, 5, 8-tetramethoxynaphthalene-2-carbaldehyde and ethyl- bromoacetate was employed for introductio... 详细信息

关键词： Synthesis dl-shikonin Reformatsky reaction.

Spatiotemporal mode-locked multimode fiber laser with dissipative four-wave mixing effect

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Chinese Physics B 2022年第10期31卷 165-170页

作者： Ming-Wei Qiu chao-Qun cai Zu-Xing Zhang Advanced Photonic Technology Laboratory College of Electronic and Optical Engineering&College of MicroelectronicsNanjing University of Posts and TelecommunicationsNanjing 210023China

The high degree of freedom and novel nonlinear phenomena of multimode fiber are attracting attention. In this work,we demonstrate a spatiotemporal mode-locked multimode fiber laser, which relies on microfiber knot resonance(MKR) via dissipative four-wave-mixing(DFMW) to achieve high-repetition-rate pulses. Apart from that, DFMW mode locking with switchable central wavelengths can also be obtained. It was further found that high pulse energy induced nonlinear effect of the dominant mode-locking mechanism transforming from DFMW to nonlinear Kerr beam cleaning effect(NL-KBC). The experimental results are valuable for further comprehending the dynamic characteristics of spatiotemporal mode-locked multimode fiber lasers, facilitating them much more accessible for applications.

关键词： microfiber knot resonance(MKR) dissipative four-wave-mixing(DFMW) nonlinear Kerr beam cleaning effect(NL-KBC) multimode fiber laser

Design of State Observer for Discrete-time Fault Complex Interconnected Networks with Different Nodes

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Design of State Observer for Discrete-time Fault Complex Int...

Machine learning assisted discovering of new M_(2)X_(3)-type thermoelectric materials

第25届中国控制与决策会议

作者： Zhanshan Wang chao cai Junyi Wang Hongjing Liang School of Information Science and Engineering Northeastern University

ISBN: (纸本)9781467355322

For a class of discrete-time complex interconnected networks with time-varying delay and linear coupling, a state observer is designed based on linear matrix inequality technique in order for the further design of the fault diagnosis observer in the case of un-observable system state. Then a fault diagnosis observer is designed to realize the fault detection. For the unknown uncertainty, an online approximator is designed to approximate the uncertainty, which will further help to reduce the modeling error. Stability analysis of the approximator is proved in detail. Finally, a simulation example is used to verify the validity of the presented results.

关键词： Complex interconnected networks discrete-time state observer fault diagnosis observer actuator fault

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Rare Metals 2022年第5期41卷 1543-1553页

作者： Du Chen Feng Jiang Liang Fang Yong-Bin Zhu cai-chao Ye Wei-Shu Liu Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Department of Mechanical Engineering The University of Hong KongHong Kong 999077China Department of Physics & Guangdong Provincial Key Laboratory of Computational Science and Material Design Southern University of Science and TechnologyShenzhen 518055China Key Laboratory of Energy Conversion and Storage Technologies(Ministry of Education) Southern University of Science and TechnologyShenzhen 518055China

Recent years have witnessed a continuous discovering of new thermoelectric materials which has experienced a paradigm shift from try-and-error efforts to experience-based discovering and first-principles calculation. However, both the experiment and first-principles calculation deriving routes to determine a new compound are time and resources consuming. Here, we demonstrated a machine learning approach to discover new M_(2)X_(3)-type thermoelectric materials with only the composition information. According to the classic Bi_(2)Te_(3) material, we constructed an M_(2)X_(3)-type thermoelectric material library with 720 compounds by using isoelectronic substitution, in which only 101 compounds have crystalline structure information in the Inorganic Crystal Structure Database(ICSD) and Materials Project(MP) database. A model based on the random forest(RF) algorithm plus Bayesian optimization was used to explore the underlying principles to determine the crystal structures from the known compounds. The physical properties of constituent elements(such as atomic mass, electronegativity, ionic radius) were used to define the feature of the compounds with a general formula ^(1)M^(2)M^(1)X^(2)X^(3)X(^(1)M +^(2)M:^(1)X +^(2)X+^(3)X = 2:3). The primary goal is to find new thermoelectric materials with the same rhombohedral structure as Bi_(2)Te_(3) by machine *** final trained RF model showed a high accuracy of 91% on the prediction of rhombohedral compounds. Finally, we selected four important features to proceed with the polynomial fitting with the prediction results from the RF model and used the acquired polynomial function to make further discoveries outside the pre-defined material library.

关键词： Thermoelectric materials M_(2)X_(3)-type material library Random forest(RF)algorithm Bayesian optimization Machine learning