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Synthesis of Acrylonitriles via Mild Base Promoted Tandem Nucleophilic Substitution-Isomerization ofα-Cyanohydrin Methanesulfonates

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Chinese Journal of Chemistry 2021年第4期39卷 913-917页

作者： Shiwen Liu Lingling Meng Xiaojun Zeng Gerald B.Hammond Bo Xu College of Textiles and Clothing&Key Laboratory for Advanced Technology in Environmental Protection of Jiangsu Province Yancheng Institute of TechnologyYanchengJiangsu 224003China Key Laboratory of Science and Technology of Eco-Textiles Ministry of EducationCollege of ChemistryChemical Engineering and BiotechnologyDonghuo UniversityShanghai 201620China Department of Chemistry University of LouisvilleLouisvilleKentucky 40292United States

Main observation and conclusion We have developed an efficient synthesis of acrylonitriles via mild base promoted tandem nucleophilic substitution-isomerization ofα-cyanohydrin methanesulfonates with alkenylboronic *** transition metal-free protocol works under simple and mild conditions and offers good chemical yields for a wide range of substrates and demonstrates good functional group tolerance.

关键词： Acrylonitriles Nucleophilic substitution Isomerization α-Cyanohydrin methanesulfonates Alkenyl boronic acids

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Pressure Pain Recognition for Lower Limb Exoskeleton Robot with Physiological Signals 1

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2nd International Conference on Cognitive Computation and Systems, ICCCS 2023

作者： Ma, Yue Wu, Xinyu Wang, Xiangyang Li, Jinke Qin, Pengjie Yin, Meng Cao, Wujing Yi, Zhengkun Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Shenzhen China SIAT-CUHK Joint Laboratory of Robotics and Intelligent Systems Guangdong Shenzhen China Shandong Institute of Advanced Technology Chinese Academy of Sciences Shandong Jining China

ISBN: (数字)9789819708857

ISBN: (纸本)9789819708840

Pain is a feedback mechanism the body uses to protect itself. The perception of human pain is still missing in lower limb exoskeleton robots, such as the pain caused by the pressure between the knee joint and the baffle when the lower limb exoskeleton stands up, or the pain caused by the mismatch between the gait and the body function of the wearer when walking. Aiming at the pain perception problem of the exoskeleton robot, this study designed a pressure pain data acquisition paradigm combined first considering the movement mode of the exoskeleton robot, and collected facial electromyography and electrocardiography signals, as well as five levels of pain. Then a deep learning neural Network based on Temporal Convolutional Network and Long Short-Term Memory is designed. The composite Loss of Center Loss, InfoNEC Loss and Softmax Loss is designed. The designed deep neural network model was evaluated using the thermal pain dataset BioVid, and the average recognition rate using only electrocardiography signals reached 86.44%. By Using the fusion signals of electrocardiography, electrocardiogram and electromyogram signals, the average recognition accuracy can reach 87.16%, which is superior to other similar methods, and verifies the effectiveness of the proposed method. The proposed network is also used to verify the collected pressure pain dataset, and the recognition accuracy can reach 87.5%, which proves the validity of the collected data set. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Electrocardiography

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A Mesoporous Nanofibrous Bivo4-Ni/Agvo3 Z-Scheme Heterojunction Photocatalyst Enhanced Photocatalytic Reduction of Cr6+ and Degradation of Rhb Under Visible Light

SSRN

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SSRN 2022年

作者： Gao, Yan Liu, Fengjiao Chi, Xianhu Tian, Yaxi Zhu, Zhangqing Guan, Rongfeng Song, Jun Key Laboratory for Advanced Technology in Environmental Protection of Jiangsu Province Yancheng Institute of Technology Jiangsu China

BiVO4 photocatalyst is one of the effective means to solve environmental pollution. However, the low specific surface area and short photogenerated carrier lifetime of a single BiVO4 seriously restrict its development and practical application. In this study, BiVO4 nanofibers were modified by the combination strategy of doping and semiconductor recombination to enhance their photocatalytic activity. The fibers prepared by electrospinning were subjected to heat treatment to remove organic matter, so as to prepare mesoporous Ni-doped BiVO4 nanofibers. Furthermore, the mesoporous fibrous Z-scheme heterojunction photocatalyst BiVO4-Ni/AgVO3 was successfully fabricated by hydrothermal method. The synergistic effect of mesoporous structure, Ni doping and AgVO3 enabled the catalyst BiVO4-Ni/AgVO3 to obtain an excellent photocatalytic reduction of Cr6+ and degradation of RhB. The photocatalytic reduction efficiency of Cr6+ reached 99.7% at 80 min, and the degradation efficiency of RhB reached 98.6% at 30 min. The successful preparation of Z-scheme heterojunction photocatalyst BiVO4-Ni-1/AgVO3-25 has essential application prospects in photocatalytic degradation of pollutants and reduction and purification of metal ions. © 2022, The Authors. All rights reserved.

关键词： Vanadium compounds

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A Pts Qds/Znin2s4 Heterojunction Catalyst for Efficient Photocatalytic Hydrogen Production and Reduction of P-Nitrophenol

SSRN

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SSRN 2022年

作者： Liu, Fengjiao Gao, Yan Chi, Xianhu Zhu, Zhangqing Wang, Xinlin Guan, Rongfeng Key Laboratory for Advanced Technology in Environmental Protection of Jiangsu Province Yancheng Institute of Technology Jiangsu China

The ternary sulfide ZnIn 2 S 4 (ZIS) can effectively solve the problems of energy shortage and environmental pollution due to its appropriate band gap and excellent visible light absorption. However, ZIS still has the disadvantages of low separation efficiency and fast recombination, which limit its practical application. Therefore, in order to improve its photocatalytic performance, PtS QDs/ZIS composites were prepared by photodeposition of PtS quantum dots (PtS QDs) on ZIS in this study, and excellent photocatalytic hydrogen evolution rates (20777.07 µmol‧g -1 ‧h -1 ) were obtained, which were 2.4 and 148.4 times higher than those of ZIS-Pt and ZIS, respectively, and the quantum efficiency was 13.25% at 430 nm. Secondly, PtS QDs/ZIS also showed efficient reduction performance and good stability in the catalytic reduction of p-nitrophenol (4-NP), reaching 99.87% at 7 min. One-step photodeposition of PtS QDs provides a new idea for photocatalytic hydrogen production from water splitting and catalytic reduction of pollutants. © 2022, The Authors. All rights reserved.

关键词： Sulfur compounds

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Stable Ni-rich layered oxide cathode for sulfide-based all-solid-state lithium battery

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eScience 2022年第5期2卷 537-545页

作者： Yue Wang Zhixuan Wang Dengxu Wu Quanhai Niu Pushun Lu Tenghuan Ma Yibo Su Liquan Chen Hong Li Fan Wu Tianmu Lake Institute of Advanced Energy Storage Technologies Liyang213300JiangsuChina Yangtze River Delta Physics Research Center Liyang213300JiangsuChina Key Laboratory for Renewable Energy Beijing Key Laboratory for New Energy Materials and DevicesBeijing National Laboratory for Condensed Matter PhysicsInstitute of PhysicsChinese Academy of SciencesBeijing100190China University of Chinese Academy of Sciences Beijing100049China Nano Science and Technology Institute University of Science and Technology of ChinaSuzhou215123China Science and Technology Research Institute China Three Gorges Corporation Beijing China

Sulfide-based all-solid-state lithium-ion batteries(ASSLIBs)are one of the most promising energy storage technologies due to their high safety and ionic *** achieve greater energy density,a Ni-rich layered oxide LiNi_(x)Co_(y)M_(1-x-y)O_(2)(NCM,MMn/Al,x≥0.6)is desirable due to its relatively high voltage and large ***,interfacial side reactions between the NCM and sulfide solid electrolytes lead to undesirable interfacial passivation layers and low ionic conductivity,thereby degrading the electrochemical performance of NCM sulfide all-solid-state ***,a time-/cost-effective sulfidation strategy is exploited to sulfidize a Ni-rich NCM_(88) cathode in a mixed gas atmosphere of N_(2) and CS_(2).A new type of cathode(NCM88-S)with an ultrathin(∼2nm)surface layer is obtained,which significantly reduces the interfacial side reactions/resistance and improves the interfacial *** resulting NCM_(88)-S/Li_(6)PS_(5)Cl/Li_(4)Ti_(5)O_(12) ASSLIB exhibits superior performance,including a high discharge specific capacity(200.7 mAh g−1)close to that of liquid batteries,excellent cycling performance(a capacity retention of 87%after 500 cycles),and satisfactory rate performance(158.3 mAh g^(−1) at 1C).

关键词： Sulfide solid electrolytes Ni-rich oxide cathode All-solid-state batteries Surface modification Interface engineering

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End-to-end optimization of a diffractive spectral imaging system with coded aperture

End-to-end optimization of a diffractive spectral imaging sy...

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2022 International Conference on Optical and Photonic Engineering, icOPEN 2022

作者： Shen, Xianmeng Ma, Suodong Wang, Junxue Yan, Qi School of Optoelectronic Science and Engineering Collaborative Innovation Center of Suzhou Nano Science and Technology Soochow University Suzhou215006 China Key Lab of Advanced Optical Manufacturing Technologies of Jiangsu Province Key Lab of Modern Optical Technologies of Education Ministry of China Soochow University Suzhou215006 China CAS Key Laboratory of Space Precision Measurement Technology Xi'an710119 China

ISBN: (纸本)9781510661905

Coded aperture snapshot spectral imaging (CASSI) is an effective tool to capture spectral images, which has the advantages of snapshot imaging, high luminous flux, high signal-to-noise ratio and low sampling frequency. However, conventional CASSI generally uses refractive prisms or gratings for spectral dispersion, which leads to the nonlinear dispersion phenomenon and the requirement of large detector chip respectively. To overcome these issues, conventional refractive prisms or gratings are replaced by an axially dispersive diffractive optical element (DOE, i.e., computational optics) together with a RGB Bayer filter (i.e., a color-coded aperture) in this study. Specifically, the spatial-spectral information of a test scene is jointly modulated by the DOE and the Bayer filter integrated with a sensor chip. A fully differentiable imaging model is built based on the principle of diffractive optics and the deep learning technology. Furthermore, an optimization design of the DOE with the coded aperture is realized through an end-to-end approach, the output spectral images of which are restored by a Res-Unet neural network. Several simulation results show that up to 31 high-fidelity spectral bands in the range of 400 to 700 nm with a good spatial and spectral resolution can be recovered by the proposed snapshot system. © 2022 SPIE.

关键词： Prisms

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Study on compressive properties of fiber metal laminates with nail reinforced structure 4

Study on compressive properties of fiber metal laminates wit...

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4th World Conference on Mechanical Engineering and Intelligent Manufacturing, WCMEIM 2021

作者： Wang, Yi-Qi Yu, Jiali Dalian University of Technology Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education School of Mechanical Engineering Dalian116024 China School of Mechanical and Electric Engineering Jiangsu Provincial Key Laboratory of Advanced Robotics Soochow University Suzhou215123 China

ISBN: (纸本)9781665421720

Fiber metal laminate (FML) are widely used in aerospace and other fields because of their excellent mechanical properties, such as high specific strength, high specific stiffness. However, due to their relatively poor interlaminar properties, the further application of FML was limited. In the paper, a fiber metal laminate with embedded nail structure was designed, and the samples were prepared based on 3D printing technology. Through experimental research and finite element simulation, the mechanical properties of fiber metal laminate with nail structure under compressive load were analyzed. By reasonably setting the number and height of nail structure, the delamination damage could be restrained and the mechanical properties of members could be improved. © 2021 IEEE.

关键词： Finite element method

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Lensless coaxial digital holographic imaging based on open-source hardware and deep learning

Lensless coaxial digital holographic imaging based on open-s...

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2022 International Conference on Optical and Photonic Engineering, icOPEN 2022

作者： Wang, Junxue Lin, Lichen Liu, Shiqi Ma, Suodong Shen, Xianmeng School of Optoelectronic Science and Engineering Collaborative Innovation Center of Suzhou Nano Science and Technology Soochow University Suzhou215006 China Key Lab of Advanced Optical Manufacturing Technologies of Jiangsu Province Key Lab of Modern Optical Technologies of Education Ministry of China Soochow University Suzhou215006 China CAS Key Laboratory of Space Precision Measurement Technology Xi'an710119 China

ISBN: (纸本)9781510661905

Lensless coaxial digital holographic imaging (LCDHI) has great advantages of wide-field, high resolution and nondestructive measurement. By removing traditional lenses and utilizing a coaxial optical path, the lens-aberration can be avoided and the imaging process is greatly simplified, which is one of the powerful tools for observing of micro components and biological cells. With the help of an open-source hardware and deep learning technology, a simple and portable experimental device based on the principle of lensless coaxial digital holography is designed and set up in this study. In order to avoid the problems of difficult data-acquisition and time-consuming training caused by supervised learning, a deep convolutional neural network (CNN) based on an auto-encoder is embedded into the Gerchberg-Saxton (GS) iterative process of LCDHI to accomplish phase retrieval. Compared with the traditional GS algorithm, more accurate amplitude and phase results can be reconstructed by the proposed low-cost device and the designed CNN through several experiments. © 2022 SPIE.

关键词： Iterative methods

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Continuous synthesis of extremely small-sized iron oxide nanoparticles used for T_(1)-weighted magnetic resonance imaging via a fluidic reactor

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Science China Materials 2022年第6期65卷 1646-1654页

作者： Yu Mao Yan Li Fengchao Zang Haoli Yu Sen Yan Qingsong Song Zhiguo Qin Jianfei Sun Bo Chen Xiao Huang Ning Gu State Key Laboratory of Bioelectronics Jiangsu Key Laboratory for Biomaterials and DevicesSchool of Biological Science and Medical EngineeringSoutheast UniversityNanjing 210096China Jiangsu Key Laboratory of Molecular and Functional Imaging Medical SchoolSoutheast UniversityNanjing 210096China State Key Laboratory of Flexible Electronics&Institute of Advanced Materials Jiangsu National Synergistic Innovation Center for Advanced MaterialsNanjing Tech UniversityNanjing 210096China Materials Science and Devices Institute Suzhou University of Science and TechnologySuzhou 215009China

Extremely small-sized iron oxide nanoparticles(ESIONPs)with sizes less than 5 nm have shown great promise as T_(1)contrast agents for magnetic resonance imaging(MRI).However,their facile and scalable production with simultaneously endowed biocompatible surface chemistry remains difficult to be *** this study,by using the coprecipitation method implemented in a specially designed gas/liquid mixed phase fluidic reactor,polyglucose sorbitol carboxymethyether(PSC)coated ESIONPs were continuously synthesized with controllable particle sizes ranging from 1.8 to 4 *** the differently sized ESIONPs,the 3.7-nm ESIONPs exhibit the best performance as T_(1)MRI contrast agent,featuring a high r_(1) value of 4.11(mmol L^(−1))^(−1)s^(−1)and low r_(2)/r_(1) ratio of 7.90 under a clinical 3 T MR scanning,as well as the excellent T_(1)MRI contrast effect in not only water but also the cellular environment and blood ***,the ESIONPs possess long-term stability and good dispersity in aqueous dispersions,making them ideal candidates as safe and effective T_(1)-weighted MRI contrast agent for real clinical use.

关键词： ESIONPs T1-contrast agents MRI coprecipitation method gas/liquid mixed phase fluidic reactor

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Interactions between Deformation Induced Precipitation and Recrystallization in Austenite of Low Carbon Ti/Ti-Mo Steels 6

Interactions between Deformation Induced Precipitation and R...

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6th International Conference on ThermoMechanical Processing, TMP 2022

作者： Zhang, Qifan Huo, Xiangdong Li, Liejun Chen, Songjun Lu, Chao School of Material Science and Engineering Jiangsu University Zhenjiang212013 China Guangdong Key Laboratory for Advanced Metallic Materials Processing South China University of Technology Guangzhou510640 China

ISBN: (纸本)9787502492441

Static recrystallisation and strain-induced precipitation kinetics of low-carbon Ti/Ti-Mo steels in a two-stage controlled rolling simulating industrial production roughing and finishing processes were investigated by stress relaxation experiments and optical microscopy (OM). The results show that there is a distinct plateau phase during stress relaxation in both steels, indicating the occurrence of deformation induced precipitation. The recrystallisation-precipitation-time-temperature (RPTT) diagrams were made in conjunction with a static recrystallisation kinetics model. Both RPTT diagrams show the inverted 'S' shape, indicating that static recrystallisation retards the kinetics of deformation induced austenite precipitation at higher temperatures. The overall diagram for Ti-Mo steel displays a remarkable backward shift compared to Ti steel, suggesting that the addition of Mo retards the precipitation kinetics of Ti steel. The austenite grains of both steels were observed by OM and it was found that austenite recrystallisation was significantly inhibited during the deformation induced precipitation plateau. Nevertheless, the degree of inhibition is a dynamic process for which the RPTT curves provide a basis. Combining the RPTT curves and the austenite grain size variations for both steels, a process is suggested that isotherms at 900 °C to the middle of the deformation induced precipitation plateau, when deformation induced precipitation has the best fit with static recrystallisation. © TMP 2022 - Proceedings. All rights reserved.

关键词： Recrystallization (metallurgy)

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