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Cytokine Storm Biomarkers: A Flexible and Regenerative Aptameric Graphene–Nafion Biosensor for Cytokine Storm Biomarker Monitoring in Undiluted Biofluids toward Wearable Applications (Adv. Funct. Mater. 4/2021)

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Advanced Functional Materials 2021年第4期31卷

作者： Ziran Wang Zhuang Hao Xuejun Wang Cong Huang Qiao Lin Xuezeng Zhao Yunlu Pan School of Mechatronics Engineering Harbin Institute of Technology Harbin 150001 China Key Laboratory of Micro-systems and Micro-structures Manufacturing Ministry of Education Harbin Institute of Technology Harbin 150080 China School of Chemistry and Chemical Engineering Harbin Institute of Technology Harbin 150001 China State Key Laboratory of Molecular Engineering of Polymers Fudan University Shanghai 200433 China Department of Mechanical Engineering Columbia University New York NY 10027 USA

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An Early Stage Researcher's Primer on systems Medicine Terminology

Network and Systems Medicine

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Network and systems Medicine 2021年第1期4卷 2-50页

作者： Zanin, Massimiliano Aitya, Nadim A.A. Basilio, José Baumbach, Jan Benis, Arriel Behera, Chandan K. Bucholc, Magda Castiglione, Filippo Chouvarda, Ioanna Comte, Blandine Dao, Tien-Tuan Ding, Xuemei Pujos-Guillot, Estelle Filipovic, Nenad Finn, David P. Glass, David H. Harel, Nissim Iesmantas, Tomas Ivanoska, Ilinka Joshi, Alok Boudjeltia, Karim Zouaoui Kaoui, Badr Kaur, Daman Maguire, Liam P. McClean, Paula L. McCombe, Niamh De Miranda, João Luís Moisescu, Mihnea Alexandru Pappalardo, Francesco Polster, Annikka Prasad, Girijesh Rozman, Damjana Sacala, Ioan Sanchez-Bornot, Jose M. Schmid, Johannes A. Sharp, Trevor Solé-Casals, Jordi Spiwok, Vojtěch Spyrou, George M. Stalidzans, Egils Stres, Blaa Sustersic, Tijana Symeonidis, Ioannis Tieri, Paolo Todd, Stephen Van Steen, Kristel Veneva, Milena Wang, Da-Hui Wang, Haiying Wang, Hui Watterson, Steven Wong-Lin, Kongfatt Yang, Su Zou, Xin Schmidt, Harald H.H.W. Centro de Tecnología Biomédica Universidad Politécnica de Madrid Madrid Spain Intelligent Systems Research Centre School of Computing Engineering and Intelligent Systems Ulster University Ulster United Kingdom Center for Physiology and Pharmacology Institute of Vascular Biology and Thrombosis Research Medical University of Vienna Vienna Austria TUM School of Life Sciences Weihenstephan Technical University of Munich Freising Germany Holon Israel CNR National Research Council IAC Institute for Applied Computing Rome Italy Lab of Computing Medical Informatics and Biomedical Imaging Technologies School of Medicine Aristotle University of Thessaloniki Thessaloniki Greece Université Clermont Auvergne INRAE UNH Plateforme d'Exploration du Métabolisme MetaboHUB Clermont Clermont-Ferrand France Université de Technologie de Compiègne Compiègne France Labex MS2T Control of Technological Systems-of-Systems CNRS and Université de Technologie de Compiègne Compiègne France Faculty of Engineering University of Kragujevac Kragujevac Serbia Kragujevac Serbia Steinbeis Advanced Risk Technologies Institute Doo Kragujevac Kragujevac Serbia Pharmacology and Therapeutics School of Medicine Galway Neuroscience Centre National University of Ireland Galway Ireland School of Computing Ulster University Ulster United Kingdom Holon Israel Department of Mathematics and Natural Sciences Kaunas University of Technology Kaunas Lithuania Faculty of Computer Science and Engineering Ss. Cyril and Methodius University Skopje Macedonia Medicine Faculty Université Libre de Bruxelles CHU de Charleroi Charleroi Belgium Northern Ireland Centre for Stratified Medicine Biomedical Sciences Research Institute Ulster University Ulster United Kingdom Escola Superior de Tecnologia e Gestão Instituto Politécnico de Portalegre Portalegre Portugal Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Faculty of Automatic Control and Computers University Politehnica of B

Background: systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references. Results: This glossary aims at being a first aid kit for the systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic. © Massimiliano Zanin et al., 2021;Published by Mary Ann Liebert, Inc. 2021.

关键词： Semantics

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Reciprocity of thermal diffusion in time-modulated systems

arXiv

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arXiv 2021年

作者： Li, Jiaxin Li, Ying Cao, Pei-Chao Zheng, Xu Peng, Yu-Gui Li, Baowen Zhu, Xue-Feng Alù, Andrea Qiu, Cheng-Wei Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore School of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China ZJU-Hangzhou Global Science and Technology Innovation Center Key Lab. of Advanced Micro Nano Electronic Devices & Smart Systems of Zhejiang Zhejiang University Hangzhou310027 China International Joint Innovation Center ZJU-UIUC Institute Electromagnetics Academy at Zhejiang University Zhejiang University Haining314400 China School of Physics and Innovation Institute Huazhong University of Science and Technology Wuhan430074 China Department of Physics University of Colorado BoulderCO80309 United States Department of Electrical Engineering City University of New York New YorkNY10031 United States Department of Mechanical Engineering University of Colorado BoulderCO80309 United States

The reciprocity principle governs the symmetry in transmission of electromagnetic and acoustic waves, as well as the diffusion of heat between two points in space, with important consequences for thermal management and energy harvesting. There has been significant recent interest in materials with time-modulated properties, which have been shown to efficiently break reciprocity for light, sound, and even charge diffusion. Quite surprisingly, here we show that, from a practical point of view, time modulation cannot generally be used to break reciprocity for thermal diffusion. We establish a theoretical framework to accurately describe the behavior of diffusive processes under time modulation, and prove that thermal reciprocity in dynamic materials is generally preserved by the continuity equation, unless some external bias or special material is considered. We then experimentally demonstrate reciprocal heat transfer in a time-modulated device. Our findings correct previous misconceptions regarding reciprocity breaking for thermal diffusion, revealing the generality of symmetry constraints in heat transfer, and clarifying its differences from other transport processes in what concerns the principles of reciprocity and microscopic reversibility. © 2021, CC BY.

关键词： Energy harvesting

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CenterNet3D: An anchor free object detector for point cloud

arXiv

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arXiv 2020年

作者： Wang, Guojun Wu, Jian Tian, Bin Teng, Siyu Chen, Long Cao, Dongpu The State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130022 China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China The School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100190 China The Department of Computer Science Hong Kong Baptist University Hong Kong The School of Data and Computer Science Sun Yat-Sen University Guangdong Guangzhou510275 China The Department of Mechanical and Mechatronics Engineering University of Waterloo WaterlooONN2L 3G1 Canada

Accurate and fast 3D object detection from point clouds is a key task in autonomous driving. Existing one-stage 3D object detection methods can achieve real-time performance, however, they are dominated by anchor-based detectors which are inefficient and require additional post-processing. In this paper, we eliminate anchors and model an object as a single point-the center point of its bounding box. Based on the center point, we propose an anchor-free CenterNet3D network that performs 3D object detection without anchors. Our CenterNet3D uses keypoint estimation to find center points and directly regresses 3D bounding boxes. However, because inherent sparsity of point clouds, 3D object center points are likely to be in empty space which makes it difficult to estimate accurate boundaries. To solve this issue, we propose an extra corner attention module to enforce the CNN backbone to pay more attention to object boundaries. Besides, considering that one-stage detectors suffer from the discordance between the predicted bounding boxes and corresponding classification confidences, we develop an efficient keypoint-sensitive warping operation to align the confidences to the predicted bounding boxes. Our proposed CenterNet3D is non-maximum suppression free which makes it more efficient and simpler. We evaluate CenterNet3D on the widely used KITTI dataset and more challenging nuScenes dataset. Our method outperforms all state-of-the-art anchor-based one-stage methods and has comparable performance to two-stage methods as well. It has an inference speed of 20 FPS and achieves the best speed and accuracy trade-off. Our source code will be released at https://***/wangguojun2018/CenterNet3d. Copyright © 2020, The Authors. All rights reserved.

关键词： Autonomous vehicles

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Mercapto-functionalized scaffold improves perovskite buried interfaces for tandem photovoltaics

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Nature communications 2025年第1期16卷 4917页

作者： Jianan Wang Shuaifeng Hu He Zhu Sanwan Liu Zhongyong Zhang Rui Chen Junke Wang Chenyang Shi Jiaqi Zhang Wentao Liu Xia Lei Bin Liu Yongyan Pan Fumeng Ren Hasan Raza Qisen Zhou Sibo Li Longbin Qiu Guanhaojie Zheng Xiaojun Qin Zhiguo Zhao Shuang Yang Neng Li Jingbai Li Atsushi Wakamiya Zonghao Liu Henry J Snaith Wei Chen Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan China. Optics Valley Laboratory Hubei China. Clarendon Laboratory Department of Physics University of Oxford Oxford UK. Institute for Chemical Research Kyoto University Kyoto Japan. State Key Laboratory of Silicate Materials for Architectures Wuhan University of Technology Wuhan China. Department of Materials Science and Engineering Southern University of Science and Technology Shenzhen China. Shenzhen Key Laboratory of Intelligent Robotics and Flexible Manufacturing Systems Department of Mechanical and Energy Engineering SUSTech Energy Institute for Carbon Neutrality Southern University of Science and Technology Shenzhen China. Shanghai Synchrotron Radiation Facility (SSRF) Zhangjiang Lab Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai China. Huaneng Clean Energy Research Institute Beijing China. School of Materials Science and Engineering East China University of Science and Technology Shanghai China. Hoffmann Institute of Advanced Materials Shenzhen Polytechnic University Shenzhen China. Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan China. liuzonghao@***. Optics Valley Laboratory Hubei China. liuzonghao@***. Clarendon Laboratory Department of Physics University of Oxford Oxford UK. henry.snaith@physics.ox.ac.uk. Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan China. wnlochenwei@***. Optics Valley Laboratory Hubei China. wnlochenwei@***.

Tandem photovoltaics hold great potential to surpass the efficiency limit of single-junction solar cells. Detrimental structural defects and chemical reactions at buried interfaces of subcells considerably impede the performance of integrated tandems. Here, we devise a mercapto-functionalized mesoporous silica layer as a superstructure at the buried interface to modulate the crystallisation, eliminate nanovoids, passivate defects, and suppress the oxidation of Sn(II) in the tin-lead perovskite films, contributing substantially to reduce charge carrier losses and improve stability in positive-intrinsic-negative structured devices. Consequently, the tin-lead perovskite single-junction cells show efficiency values of up to 23.7% with the best open-circuit voltage of 0.89 V. With the enhanced subcells, our double-junction tandems show efficiency values of 29.6% (certified 29.5% and steady-state 28.7%) and 24.7% on solar cells and 11.3 cm mini-modules, respectively. Encapsulated tandems maintain 90% of initial efficiency after 445 h of maximum power point tracking under simulated 1-sun illumination.

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Model Predictive Tracking Control Design for a Robotic Fish with Controllable Barycentre

Model Predictive Tracking Control Design for a Robotic Fish ...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Xingwen Zheng Hua Chen Ouyang Jiao Minglei Xiong Wei Zhang Guangming Xie State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University Beijing China The Ohio State University Columbus OH USA School of Mechatronics Engineering Harbin Institute of Technology Harbin China State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University Boya Gongdao (Beijing) Robot Technology Co. Ltd. Beijing China Southern University of Science and Technology Shenzhen China State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University Institute of Ocean Research Peking University Beijing China

In this paper, we present the dynamic modeling and model predictive tracking control for a fin-actuated robot with barycentre regulating mechanism in multiple motions. Specifically, a dynamic model for the robot is established firstly. Based on the dynamic model, a model predictive tracking control algorithm is proposed. And simulations of of tracking rectangle trajectory, sine-like trajectory, ascending trajectory, and spiral trajectory are conducted to validate the algorithm. The simulation results demonstrate that the proposed algorithm is able to implement trajectory tracking of the robot with small position error and orientation error. This paper contributes to trajectory tracking for an underwater robot with controllable barycentre in multiple motions, which has been rarely explored.

关键词： Trajectory Robot kinematics Trajectory tracking Predictive models Heuristic algorithms

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Dynamic Contact Behaviors of Precision H-type Air Bearings during Startup Process

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Jixie Gongcheng Xuebao/Journal of Mechanical engineering 2018年第6期54卷 18-24页

作者： Zhang, Chuanwei Li, Dongsheng Gu, Le Wang, Liqin Sun, Tao School of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150080 China

The dynamic air bearing force and asperity contact force of precision H-type air bearings are calculated considering the effect of air rarefaction and surface roughness. The axial motion of the rotor and the minimum air film thickness is obtained. The effect of both the number and depth of spiral grooves on the startup behaviors of the air bearing is discussed. The results show that the air bearing force increases with an increase in the angular velocity of the rotor. When the angular velocity is about 200 r/min, the rotor fully separates with the air bearing surface. The increasing spiral groove number leads to an increase in the air bearing force and a decreased in the contact force. However, slight change in the air bearing force and contact force is generated when the groove number is over 10. Considering the cost and efficiency for manufacturing the spiral grooves, the optimal groove number of the air bearing is 10. With an increase in the groove depth, the air bearing force first increases and then decreases, while the asperity contact force first decreases and then increases. When the groove depth is 1.5 μm, a maximum air bearing force and a minimum asperity contact force are generated. Therefore, under the startup condition of the air bearing, the optimal groove depth is 1.5 μm. © 2018 Journal of Mechanical engineering.

关键词： Air

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Coupled Dynamic Modeling and Simulation of Seabed Hexapod Robot

Coupled Dynamic Modeling and Simulation of Seabed Hexapod Ro...

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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent systems

作者： Jingming Zhang Xiuwen Bi Yiqun Liu Liang Ding Kunpeng Wang Haibo Gao Zongquan Deng School of Automotive Engineering Harbin Institute of Technology Weihai China State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China China Academy of Aerospace Aerodynamics CH UAV Technology Co. Ltd China

ISBN: (数字)9781728107707

ISBN: (纸本)9781728107714

With the development of human exploration of the ocean, the manipulation capability of underwater detection equipment in the marine has become one of the key technologies that restrict the development of deep-sea exploration and work. In this paper, we propose a new type of hexapod robot that works on the seabed. Two manipulator arms are installed in the front of the body for mining seabed minerals. In order to design and control a seabed hexapod robot, the dynamics on the seabed are analyzed. Considering the complex seabed environment, the interactions between the arms, legs, body and seabed environment are analyzed and calculated, and a water-terrain-robot coupled dynamic modeling method is proposed. Based on the Vortex simulation platform, a predictive simulation platform for a seabed hexapod robot with two working arms was developed to verify the coupled dynamic model. Simulation results show that the coupled dynamic model is correct.

关键词： Legged locomotion Force Torque Hydrodynamics Manipulator dynamics

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A review and discussion of decomposition-based hybrid models for wind energy forecasting applications

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Applied Energy 2019年 235卷 939-953页

作者： Zheng Qian Yan Pei Hamidreza Zareipour Niya Chen School of Instrumentation Science and Opto-electronics Engineering Beihang University Beijing China Key Laboratory of Precision Opto-Mechatronics Technology Ministry of Education Beihang University Beijing China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing 100192 China Department of Electrical and Computer Engineering University of Calgary Calgary Alberta Canada ABB Corporate Research Center Beijing China

With the continuous growth of wind power integration into the electrical grid, accurate wind power forecasting is an important component in management and operation of power systems. Given the challenging nature of wind power forecasting, various methods are presented in the literature to improve wind power forecasting accuracy. Among them, combining different techniques to construct hybrid models has been frequently reported in the literature. Decomposition-based models are a family of hybrid models that firstly decompose the wind speed/power time series into relatively more stationary subseries, and then build forecasting models for each subseries. In this paper, we present a comprehensive review of decomposition-based wind forecasting methods in order to explore their effectiveness. Decomposition-based hybrid forecasting models are classified into different groups based on the decomposition methods, such as, wavelet, empirical mode decomposition, seasonal adjust methods, variational mode decomposition, intrinsic time-scale decomposition, and bernaola galvan algorithm. We discuss decomposition methods in the context of alternative forecasting algorithms, and explore the challenges of each method. Comparative analysis of various decomposition-based models is also provided. We also explore current research activities and challenges, and identify potential directions for future research on this subject.

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Cooperative Intelligence for Autonomous Driving

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ZTE Communications 2019年第2期17卷 44-50页

作者： CHENG Xiang DUAN Dongliang YANG Liuqing ZHENG Nanning State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer SciencePeking UniversityBeijing 100871China Department of Electrical and Computer Engineering University of WyomingLaramieWY 82071USA Department of Electrical and Computer Engineering Colorado State UniversityFort CollinsCO 80523USA Institute of Artificial Intelligence and Robotics Xi’an Jiaotong UniversityXi’anShaanxi 710049China

Autonomous driving is an emerging technology attracting interests from various sectors in recent *** of existing work treats autonomous vehicles as isolated individuals and has focused on developing separate intelligent *** this paper,we attempt to exploit the connectivity among vehicles and propose a systematic framework to develop autonomous driving *** first introduce a general hierarchical information fusion framework for cooperative sensing to obtain global situational awareness for *** this,a cooperative intelligence framework is proposed for autonomous driving *** general framework can guide the development of data collection,sharing and processing strategies to realize different intelligent functions in autonomous driving.

关键词： autonomous driving cooperative intelligence information fusion vehicular communications and networking

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