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Status and Progress on an HTS Strand with Quasi-isotropic Critical Current

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CSEE Journal of Power and Energy Systems 2021年第1期7卷 150-155页

作者： Jian Du Jianlong Sun Yang Nie Siming Mo Yuan cai Huijuan Chen Wen Yuan Yinshun Wang the State Grid Jiangsu Electric Power Co. Ltd.Economic Research InstituteNanjing 210008China the Key Laboratory of HV and EMC Beijing North China Electric Power UniversityNorth China Electric Power UniversityBeijing 102206China the Jiangsu Etern Company Limited Suzhou 215211China the Eastern Superconducting Science&Technology(Suzhou)Co.Ltd Suzhou 215200China

The coated conductors(CCs),also known as the second-generation high-temperature superconducting(2G HTS)tape,has attractive potential applications in transmissions at low magnetic field/liquid nitrogen temperatures and high-field applications at low temperatures due to their excellent critical current density and mechanical *** critical current density has strong anisotropy,particularly at 77 *** the single tape has limited capacity of carrying current,the cable or strand making of multi-tapes,stacked in parallel,is *** recent years,several cables,such as the Roebel cable,CORC cable,TSTC cable,TS cable,and the HTSCroCo cable,were *** paper presents a status and progress on a type of HTS strand made from REBCO *** quasi-isotropic critical current is experimentally confirmed for liquid nitrogen temperature,mechanical characteristics,AC losses,thermal stability,and quench characterizations are also ***,the feasible process for the production of practical length of such strand is described by processing 10 m long sample,which is promising for applications of high fields or power transmission.

关键词： AC loss critical current mechanical characteristics quasi-isotropic strand stability

Two-Stream Temporal Convolutional Networks for Skeleton-Based Human Action Recognition

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Journal of Computer Science & Technology 2020年第3期35卷 538-550页

作者： Jin-Gong Jia Yuan-Feng Zhou Xing-Wei Hao Feng Li Christian Desrosiers cai-Ming Zhang School of Software Shandong UniversityJinan 250101China Department of Software and IT Engineering University of QuebecMontreal H3C 3P8Canada

With the growing popularity of somatosensory interaction devices,human action recognition is becoming attractive in many application ***-based action recognition is effective because the skeleton can represent the position and the structure of key points of the human *** this paper,we leverage spatiotemporal vectors between skeleton sequences as input feature representation of the network,which is more sensitive to changes of the human skeleton compared with representations based on distance and angle *** addition,we redesign residual blocks that have different strides in the depth of the network to improve the processing ability of the temporal convolutional networks(TCNs)for long time dependent *** this work,we propose the two-stream temporal convolutional networks(TSTCNs)that take full advantage of the inter-frame vector feature and the intra-frame vector feature of skeleton sequences in the spatiotemporal *** framework can integrate different feature representations of skeleton sequences so that the two feature representations can make up for each other’s *** fusion loss function is used to supervise the training parameters of the two branch *** on public datasets show that our network achieves superior performance and attains an improvement of 1.2%over the recent GCN-based(BGC-LSTM)method on the NTU RGB+D dataset.

关键词： skeleton action recognition temporal convolutional network(TCN) vector feature representation neural network

Polycyclic naphthalenediimide-based nanoparticles for NIR-Ⅱ fluorescence imaging guided phototherapy

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Science China Chemistry 2020年第7期63卷 946-956页

作者： Chuanchao Tang Chuanhui Song Zheng Wei Chen Liang Jianchuan Ran Yu cai Xiaochen Dong Wei Han Central Laboratory'of Stomatology Nanjing Stomatological HospitalMedical School of Nanjing UniversityNanjing 210008China Department of Oral and Maxillofacial Surgery Nanjing Stomatological HospitalMedical School of Nanjing UniversityNanjing 2 J0008China School of Chemistry and Materials Science Nanjing University of Information Science&TechnologyNanjing 210044China

Optical imaging and phototherapy in the second near-infrared window(NIR-Ⅱ, 900–1700 nm) can reduce tissue auto-fluorescence and photon scattering, which facilitates higher spatial resolution and deeper tissue penetration depth for solid tumor theranostics. Herein, a polycyclic naphthalenediimide(Ndi) based chromophore 13-amino-4,5-dibromo-2,7-di(dodecan-6-yl)-1 H-isoquinolino[4,5,6-fgh]naphtho[1,8-bc][1,9]phenanthroline-1,3,6,8(2H,7H,9H)-tetraone(Ndi-NA) was designed and synthesized. With large polycyclic π-systems, Ndi-NA molecule possesses broad near-infrared(NIR) absorption(maximum at777 nm) and emission(maximum at 921 nm). By nanoprecipitation, Ndi-NA nanoparticles(NPs) were formed in aqueous solution with J-aggregative state, which showed huge red-shift in both absorption spectrum(maximum at 904 nm) and emission spectrum(maximum at 1,020 nm), endowing Ndi-NA NPs efficient NIR-Ⅱ fluorescence imaging capability. Besides, the NPs present effective tumor-targeting capability in vivo based on the enhanced permeation and retention(EPR) effect. More importantly, Ndi-NA NPs simultaneously have high photothermal conversion efficiency(30.8%) and efficient reactive oxygen species generation ability, making them remarkably phototoxic to cancer cells. The polycyclic chromophore based multifunctional Ndi-NA NPs as NIR-Ⅱ phototheranostic agents possess bright future for clinical NIR-Ⅱ imaging-guided cancer phototherapy.

关键词： second near-infrared window fluorescence imaging phototherapy phototheranostics polycyclic naphthalenediimide

Study on Robust H_∞ Filtering in Networked Environments

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International Journal of Automation and computing 2011年第4期8卷 465-471页

作者： Yun-Ze cai Li Xu Jian-Xi Gao Xiao-Ming Xu Department of Automation Shanghai Jiao Tong University Shanghai 200240 PRC Shanghai Academy of Systems Science Shanghai 200093 PRC Department of Electronics and Information Systems Akita Prefectural University Yuri-Honjo Akita 015 0055 Japan University of Shanghai for Science and Technology Shanghai 200093 PRC

This paper is concerned with the robust H ∞ filter problem for networked environments, which are subject to both transmission delay and packet dropouts randomly. By employing random series which have Bernoulli distributions taking value of 0 or 1, the data transmission model is obtained. Based on state augmentation and stochastic theory, the sufficient condition for robust stability with H ∞ constraints is derived for the filtering error system. The robust filter is designed in terms of feasibility of one certain linear matrix inequality （LMI）, which is formed by adopting matrix congruence transformations. A numerical example is given to show the effectiveness of the proposed filtering method.

关键词： Robust filtering networked environments transmission delay packet dropouts linear matrix inequality (LMI).

NiPt nanoparticles supported on CeO_2 nanospheres for efficient catalytic hydrogen generation from alkaline solution of hydrazine

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Chinese Chemical Letters 2019年第3期30卷 634-637页

作者： Yana Men Jun Su Xiangli Wang Ping cai Gongzhen Cheng Wei Luo College of Chemistry and Molecular Sciences Wuhan University Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology No.1 Middle School Affiliated to Central China Normal University

Searching for highly efficient catalysts toward dehydrogenation of hydrazine for chemical hydrogen storage is highly desirable for the development of hydrogen economy. Herein, we report a simple in situ co-reduction synthesis of NiPt nanoparticles supported on CeO_2 nanospheres and their superior catalytic performance for hydrogen generation from alkaline solution of hydrazine at room temperature. Thanks to the strong electronic interaction arising from synergistic effect at atomic lever and support-metal interaction between NiPt and CeO_*** obtained Ni_5Pt_5-CeO_2 catalyst exhibits 100% hydrogen selectivity and superior catalytic performance for hydrogen generation from alkaline solution of hydrazine at room temperature, with a TOF value of 416 h 1.

关键词： Hydrogen storage Hydrazine Hydrogen evolution CeO2 nanospheres Support-metal in teraction

Time-sequenced damage behavior of reactive projectile impacting double-layer plates

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Defence Technology（防务技术） 2023年第9期27卷 263-272页

作者： Ying Yuan Yi-qiang cai Huan-guo Guo Peng-wan Chen Rui Liu Hai-fu Wang Beijing Institute of Technology Beijing100081China

The time-sequenced damage behavior of the reactive projectile impacting double-layer plates is *** analytical model considering the combined effect of kinetic and chemical energy is developed to reveal the damage *** influences of impact velocity and reactive projectile chemical characteristics on the damage effect are decoupled analyzed based on this *** analyses indicate that the high energy releasing efficiency and fast reaction propagation velocity of the reactive projectile are conducive to enhancing the damage *** experiments with various reactive projectiles impact velocity increasing from 702 to 1385 m/s were conducted to verify this *** experimental results presented that,the damage hole radius of the rear-plate increases with the increase of impact *** the impact velocity of 1350 m/s,the radius of damage hole formed by PTFE/Al/Bi_(2)O_(3),PTFE/Al/MoO_(3),PTFE/Al/Fe_(2)O_(3)projectile on the rear-plate become smaller in *** results are consistent with the analytical model prediction,demonstrating that this model can predict the damage effect *** work is of constructive significance to the application of reactive projectiles.

关键词： Reactive projectile Damage behaviors Impact Double-layer plates

Corrosion Resistance of MgO-C Based Refractory to Slag Containing Titania

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Journal of Iron and Steel Research International 2004年第1期11卷 1-4页

作者： LIU Qing-cai SUN Ya-li DU Yun-gui CHEN Deng-fu Chongqing University

The interaction between the slag containing titanium oxides(TiO2of 2.0 %-20.0%)and a MgO-C based refractory was investigated by immersion *** relationship between TiO2 content in slag and corrosion rate of the refractory was *** microstructure and compositions of the corroded refractory were analyzed by SEM and X-ray *** corrosion mechanism of MgO-C based refractory in the slag containing titanium was proposed,and the effects of TiO2 content,slag basicity(ωCaO/ωSiO2)and temperature in molten bath on the corrosion rate of the refractory were obtained.

关键词： slag titanium oxide MgO-C based refractory corrosion

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Flow Loss Mechanism in a Supercritical Carbon dioxide Centrifugal Compressor at Low Flow Rate Conditions

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Journal of Thermal Science 2024年第1期33卷 114-125页

作者： YANG Zimu JIANG Hongsheng ZHUGE Weilin cai Ruikai YANG Mingyang CHEN Haoxiang QIAN Yuping ZHANG Yangjun State Key Laboratory of Automotive Safety and Energy Tsinghua UniversityBeijing 100084China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China

With the advantages of high efficiency and compact structure,supercritical carbon dioxide(sC02)Brayton cycles have bright prospects for development in energy conversion *** one of the core components of the power cycle,the centrifugal compressor tends to operate near the critical point(304.13 K,7.3773 MPa).Normally,the compressor efficiency increases as the inlet temperature *** the inlet temperature is close to the critical point,the density increases sharply as the temperature decreases,which results in quickly decreasing of volume flow rate and efficiency *** flow loss mechanism of the sCO_(2) compressor operating at low flow rate is studied in this *** fluid dynamics(CFD) simulations for sCO_(2)compressor were carried out at various inlet temperatures and various mass flow *** the sCO_(2)compressor operates at low volume flow rate,the flow loss is generated mainly on the suction side near the trailing edge of the *** flow loss is related to the counterclockwise vortexes generated on the suction side of the main *** vortexes are caused by the flow separation in the downstream region of the impeller passage,which is different from air compressors operating at low flow *** reason for this flow separation is that the effect of Coriolis force is especially severe for the sCO_(2) fluid,compared to the viscous force and inertial *** lower flow rates,with the stronger effect of Coriolis force,the direction of relative flow velocity deviates from the direction of radius,resulting in its lower radial *** lower radial relative flow velocity leads to severe flow separation on the suction side near the trailing edge of the main blade.

关键词： supercritical CO_(2) centrifugal compressor flow loss mechanism Coriolis force

Natural language processing(NLP)in management research:A literature review

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Journal of Management Analytics 2020年第2期7卷 139-172页

作者： Yue Kang Zhao cai Chee-Wee Tan Qian Huang Hefu Liu School of Management University of Science and Technology of ChinaHefeiPeople’s Republic of China Nottingham University Business School China University of Nottingham Ningbo ChinaNingboPeople’s Republic of China cDepartment of digitalization Copenhagen Business SchoolCopenhagenDenmark

Natural language processing(NLP)is gaining momentum in management research for its ability to automatically analyze and comprehend human ***,despite its extensive application in management research,there is neither a comprehensive review of extant literature on such applications,nor is there a detailed walkthrough on how it can be employed as an analytical *** this end,we review articles in the UT Dallas List of 24 Leading Business Journals that employ NLP as their focal analytical technique to elucidate how textual data can be harnessed for advancing management theories across multiple *** describe the available toolkits and procedural steps for employing NLP as an analytical technique as well as its advantages and *** so doing,we highlight the managerial and technological challenges associated with the application of NLP in management research in order to guide future inquires.

关键词： natural language processing literature review sentiment analysis machine learning