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Core-shell [email protected] 2 O-graphene-polydopamine interdigitated microelectrode array sensor for in situ determination of salicylic acid in cucumber leaves

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Sensors and Actuators B: Chemical 2021年 341卷

作者： Dandan Liu Mingji Li Hongji Li Cuiping Li Guilian Wang Penghai Li Baohe Yang Tianjin Key Laboratory of Film Electronic and Communication Devices Engineering Research Center of Optoelectronic Devices & Communication Technology (Ministry of Education) School of Electrical and Electronic Engineering Tianjin University of Technology Tianjin 300384 PR China Tianjin Key Laboratory of Organic Solar Cells and Photochemical Conversion Tianjin Key Laboratory of Drug Targeting and Bioimaging School of Chemistry and Chemical Engineering Tianjin University of Technology Tianjin 300384 PR China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin 300384 PR China

The in situ detection of active small molecules in plants is one of the key technologies for the development of precision agriculture. An interdigitated microelectrode (IDME) array electrochemical sensor is constructed herein, with three groups of IDME arrays as a three-electrode system. The core-shell [email protected] 2 O-graphene (Gr)-polydopamine (PDA) nanoparticles are densely packed on Al microelectrodes using a three-potential step pulse electrodeposition method. Each of the over 2000 individual microelectrodes is approximately 1 μm wide and 1100 μm in length. The sensor has a high response to salicylic acid (SA) due to the synergistic electrocatalysis of [email protected] 2 O, Gr, and PDA, and the high-density arrangement of the three-electrode unit with microelectrodes. The sensor has a linear concentration range of 0.01–100 μM for SA and the detection limit is as low as 1.16 nM. The SA concentration in cucumber leaves is monitored from the early growth stage to the fruiting stage using the IDME array sensor, and the juice and living stems of the cucumber are detected. The flat structure of the [email protected] 2 O-Gr-PDA IDME array sensor is suitable for attachment onto plant tissues, especially for the in situ detection of SA in leaves.

关键词： Core-shell [email protected] 2 O-graphene-polydopamine Interdigitated microelectrode array Sensor Salicylic acid Plant

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The decoder based on DNA strand displacement with improved "AND" gate and "OR" gate 1

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12th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2017

作者： Han, Weixuan Zhou, Changjun Wang, Xiaojun Zhang, Qiang Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian116622 China

ISBN: (数字)9789811071799

ISBN: (纸本)9789811071782

In the computational biology, DNA strand displacement technique is used to construct the logic gate model and molecular circuits. But with the increase of number of the reaction strands, the basic logic gates cannot meet the accuracy in the reaction process. This paper improved the logical unit OR gate, AND gate to solve this problem on the basic of the seesaw model and the mechanism of DNA strand displacement reaction. Since the basic circuit of the decoder is an array of AND gates, the improvement module is applied to the decoder. The molecular circuit of decoder is constructed to realize the dynamic link between the input signal and the output signal. It is concluded that the sensitivity and accuracy of the improved decoder in the molecular circuit is improved by the Visual DSD software. The improvement module laid the foundation for the development of molecular circuits. © Springer Nature Singapore Pte Ltd 2017.

关键词： Logic gates

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Segmentation of human motion capture data based on Laplasse Eigenmaps

Segmentation of human motion capture data based on Laplasse ...

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International Conference on Smart Health, ICSH 2017

作者： Xie, Xiaodong Liu, Rui Zhou, Dongsheng Wei, Xiaopeng Zhang, Qiang Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian116622 China

ISBN: (纸本)9783319679631

The segmentation of motion capture data is to separate the different types of human motion data contains long movement sequence into motion clips with independent semantics in order to facilitate the storage in the database as well as medical analysis. This paper proposed a method for human motion capture data segmentation based on Laplacian Eigenmaps (LE) algorithm. Firstly, the LE algorithm is used to reduce the dimension of original data by realizing the mapping from the high dimensional data to the low dimensional space. And then a specified window was drawn in the low dimensional space which was used to calculate the space distance from frames in the specified window to each frame in the former fragment. Finally we detected the similarity to get the final segmentation points, thus obtained motion clips with independent semantics. The validity of the segmentation method is verified by experiment. © 2017, Springer International Publishing AG.

关键词： Semantics

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Pickup Manipulator design and Its Kinematics Simulation 2

Pickup Manipulator Design and Its Kinematics Simulation

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2018 2nd International Symposium on Resource Exploration and Environmental Science, REES 2018

作者： Zhang, Zhongdang Zhang, Zhaoqiang Ma, Shitai Zhou, Haibo Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin300384 China

In order to improve the flexibility of the pickup manipulator and solve the problem of picking up small sports balls in training ground such as golfing, tennis, and table tennis, a 5-DOF pickup manipulator structure is designed. According to the pickup task requirements of the manipulator, through theoretical calculations, the 86HS series stepping motor is selected as the driving motors of the front end joints. Based on this, the stepping motor control system is designed to realize the closed-loop control of the manipulator. Then the manipulator model is built using D-H method, the inverse kinematics solution is calculated, and the analysis of kinematic theory is conducted. Finally, the targeted pickup point is selected to carry out case simulation analysis of the manipulator, the motion law of the manipulator is verified to be reasonable and the task of picking up small sports balls is completed. © Published under licence by IOP Publishing Ltd.

关键词： Manipulators

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Residual Networks for Light Field Image Super-Resolution

Residual Networks for Light Field Image Super-Resolution

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IEEE/CVF Conference on Computer Vision and Pattern Recognition

作者： Shuo Zhang Youfang Lin Hao Sheng Beijing Key Lab of Traffic Data Analysis and Mining School of Computer and Information Technology Beijing Jiaotong University Key Laboratory of Intelligent Passenger Service of Civil Aviation CAAC State Key Laboratory of Software Development Environment School of Computer Science and Engineering Beihang University Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University

Light field cameras are considered to have many potential applications since angular and spatial information is captured simultaneously. However, the limited spatial resolution has brought lots of difficulties in developing related applications and becomes the main bottleneck of light field cameras. In this paper, a learning-based method using residual convolutional networks is proposed to reconstruct light fields with higher spatial resolution. The view images in one light field are first grouped into different image stacks with consistent sub-pixel offsets and fed into different network branches to implicitly learn inherent corresponding relations. The residual information in different spatial directions is then calculated from each branch and further integrated to supplement high-frequency details for the view image. Finally, a flexible solution is proposed to super-resolve entire light field images with various angular resolutions. Experimental results on synthetic and real-world datasets demonstrate that the proposed method outperforms other state-of-the-art methods by a large margin in both visual and numerical evaluations. Furthermore, the proposed method shows good performances in preserving the inherent epipolar property in light field images.

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Magnetic Continuum Robot for intelligent Manipulation in Medical Applications

SmartBot

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SmartBot 2025年

作者： Yuanbiao Ma Xuanyu An Qijun Yang Mingxue Cai Zhiqiang Tang Jinke Chang Veronica Iacovacci Tiantian Xu Li Zhang Qianqian Wang Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments School of Mechanical Engineering Southeast University Nanjing China Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Department of Mechanical Engineering National University of Singapore Queenstown Singapore Department of Engineering Science University of Oxford Oxford UK Department of Surgical Biotechnology Division of Surgery & Interventional Science Centre for Biomaterials in Surgical Reconstruction and Regeneration University College London London UK BioRobotics Institute Scuola Superiore Sant’Anna Pisa Italy Department of Excellence in Robotics & AI Scuola Superiore Sant’Anna Pisa Italy Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong China Chow Yuk Ho Technology Center for Innovative Medicine The Chinese University of Hong Kong Hong Kong China Multi-Scale Medical Robotics Center Hong Kong Science Park Hong Kong China

Magnetic continuum robots (MCRs) have garnered substantial attention as a new class of flexible robotic systems capable of navigating complex and confined spaces with remarkable dexterity. By combining continuous, deformable structures with remotely applied magnetic fields, MCRs achieve contactless, remote manipulation, making them well-suited for medical applications. This review introduces recent advances in MCR research, focusing on design principles, structural configurations, and control strategies. Various MCR designs and structures, including those integrated with permanent magnets, magnetic matter, ferromagnetic sphere, and micro coil, are discussed. Furthermore, different magnetic actuation platforms are introduced, and the level of MCR automation is classified based on control strategies. key intelligent manipulation capabilities of MCRs, including navigation, delivery, printing, grasping, imaging, and sensing are explored. Finally, future development priorities and directions are identified to provide insights for advancing intelligent robotic systems.

关键词： intelligent manipulation magnetic actuation magnetic continuum robot medical application

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Biomechanical Comparison of Lateral Interbody Fusion with and without Fixation

Biomechanical Comparison of Lateral Interbody Fusion with an...

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IEEE International Conference on Mechatronics and Automation

作者： Cheng-Fei Du Meng-Si Sun Xin-Yi Cai Chen-Xi Yuchi National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China

Objective: To compare biomechanical behaviors of lumbar lateral interbody fusion with and without posterior fixation. Methods: Three kinds of three-dimensional nonlinear finite element models of lumbar vertebrae (L3-S1) were developed: traditional lateral interbody fusion with bilateral pedicle 4 screws and 2 rods internal fixation; only lateral interbody fusion; intact model. The models were supported to a 500N follower load with a 7.5-N.m moment of flexion, extension,lateral bending,and rotation. The change of the range of motion (ROM) and intervertebral disc pressure (IDP) of the surgical segment and adjacent segments are compared. Results: Compared with the intact model, both surgical methods reduce the range of motion at the surgical segment in all motion modes, but have almost no effect on adjacent segments. The addition of fixation induce the further reduction of ROM in the surgical segment, and the ROM is almost 0° in all motion modes except for rotation. While for the model of only lateral interbody fusion, the ROM range from 0.4° to 2.2°. Moreover, the variation of the intervertebral disc pressure in surgery groups are extremely subtle in all the segments and all the postures. Conclusion: Compared to the only lateral interbody fusion,the traditional internal fixation with bilateral pedicle 4 screws and 2 rods for lateral interbody fusion showed more bimechanical stability of the surgical segment. The extra fixation for lumbar lateral interbody fusion is indispensable for surgeon.

关键词： Surgery Finite element analysis Read only memory Spine Motion segmentation Biological system modeling Fasteners

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The Biomechanical Response of Cervical Spine under Different Follower Loads

The Biomechanical Response of Cervical Spine under Different...

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IEEE International Conference on Mechatronics and Automation

作者： Cheng-Fei Du Xin-Yi Cai Meng-Si Sun National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China

The follower load is a synergy of the mimicking the human muscle tissue. It can improve load-carrying capacity of the human cervical spine and play an important part in maintaining the stability of cervical spine. Currently, the studies of the influence of a follower load on biomechanics of cervical spine is still not perfect. Therefore, this paper used the finite element (FE) modeling method to investigate the biomechanical response of cervical spine under different follower loads. The range of motion (ROM) of and intradiscal pressure (IDP) in the cervical spine were important parameters reflecting the condition of the cervical spine. So a three-dimensional (3D) nonlinear finite element model of the cervical spine (C3-C7) was built and validated. Under different follower loads (0 N, 50 N, 100 N, 150 N), a moment of 1 Nm was applied in the three anatomical planes to study the the influence of the follower load on the range of motion and intradiscal pressure in cervical spine. The results indicated that follower load reduced the ROM of cervical spine in extension, and in other postures increased the ROM. The most significant effect of the follower load on cervical spine was in torsion (55%), lateral bending (50%) and flexion (17%). In all postures, the IDP of cervical spine increased with the follower load increased, at the same the IDP changed nonlinearly with the follower load increased.

关键词： Read only memory Finite element analysis Load modeling In vitro Solid modeling Bending Spine

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The neuronal perceptron with DNA strand displacement

The neuronal perceptron with DNA strand displacement

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International Workshop on advanced Computational Intelligence (IWACI)

作者： Lanlan Shi Changjun Zhou Qiang Zhang Key Laboratory of Advanced Design and Intelligent Computing Dalian University Dalian China School of Computer Science and Technology Dalian University of Technology Dalian China

In the field of biologic computing and neural networks, DNA strand displacement technology performs well in computing, programming and information processing. In this paper, based on two-domain DNA strand displacement, the neural DNA perceptron is proposed to implement Boolean operations. Some operation instances are simulated by Visual DSD (DNA strand displacement) software in which details of simulation process were presented. Our results showed that the precision of the neural DNA perceptron is higher than that of a bio-sensor designed by Shi et al. Furthermore, extrapolating from the neural DNA perceptron, we presented a multi-bit numerical comparator to achieve multi-bit numerical comparisons, which received stable and intuitive simulation results. The neural DNA perceptron and the multi-bit numerical comparator are easy to operate and achieve satisfactory effects.

关键词： DNA Neurons Simulation Visualization Numerical models Logic gates

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Normal Stiffness model of bolted joint based on the modified three-dimensional elastic-plastic contact fractal model

Normal Stiffness model of bolted joint based on the modified...

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2018 International Conference on advanced Materials, intelligent Manufacturing and Automation, AMIMA 2018

作者： Yin, Yunyao Cai, Ligang Liu, Zhifeng Zhao, Yongsheng Cheng, Qiang Institute of Advanced Manufacturing and Intelligent Technology Beijing University of Technology Beijing100124 China Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing Beijing University of Technology Beijing100124 China

Bolted joints have a significant effect on the dynamical behaviour of assembled structures. Accurate contact stiffness model of bolted joint is crucial in predicting the dynamic performance of bolted structures. In this research, a modified three-dimensional fractal model of normal contact stiffness is presented to more accurately predict the dynamic characteristic of a bolted assembly. In the present model, while the contact deformation exceed the critical value the elastic-plastic contact is used to take the place of Hertz elastic contact in the traditional M-B model, and revise the drawback that elastic-plastic contact occurs before elastic contact in existing elastic-plastic fractal models. As the increase of contact force, the plastic deformation of single asperity is considered again, which is omitted in the two type fractal models. An experimental set-up with two T-shaped specimen is designed conducted to verify the efficiency of the proposed model. Comparing with the ZX elastic-plastic fractal model, the present model can predict contact stiffness and dynamic performance more accurately, particularly, while for higher contact loads. The results show that the modified elastic-plastic fractal contact model can be used to more accurately predict the stiffness and dynamic characteristic of bolted structures in the machine tools. © Published under licence by IOP Publishing Ltd.

关键词： Bolted joints

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