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Implantable Electrochemical Microsensors for In Vivo Monitoring of Animal Physiological Information

Nano-Micro Letters 2024年第3期16卷 183-211页

作者： Jin Zhou Shenghan Zhou Peidi Fan Xunjia Li Yibin Ying jianfeng ping Yuxiang Pan Laboratory of Agricultural Information Intelligent Sensing College of Biosystems Engineering and Food ScienceZhejiang UniversityHangzhou 310058People’s Republic of China ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang UniversityHangzhou 311200People’s Republic of China

In vivo monitoring of animal physiological information plays a crucial role in promptly alerting humans to potential diseases in animals and aiding in the exploration of mechanisms underlying human ***,implantable electrochemical microsensors have emerged as a prominent area of *** microsensors not only fulfill the technical requirements for monitoring animal physiological information but also offer an ideal platform for *** have been extensively studied for their ability to monitor animal physiological information in a minimally invasive manner,characterized by their bloodless,painless features,and exceptional *** development of implantable electrochemical microsensors for in vivo monitoring of animal physiological information has witnessed significant scientific and technological advancements through dedicated *** review commenced with a comprehensive discussion of the construction of microsensors,including the materials utilized and the methods employed for *** this,we proceeded to explore the various implantation technologies employed for electrochemical *** addition,a comprehensive overview was provided of the various applications of implantable electrochemical microsensors,specifically in the monitoring of diseases and the investigation of disease ***,a concise conclusion was conducted on the recent advancements and significant obstacles pertaining to the practical implementation of implantable electrochemical microsensors.

关键词： Electrochemical microsensors Implantable sensors In vivo monitoring Animal physiological information

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Triboelectric nanogenerators for smart agriculture

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InfoMat 2023年第2期5卷 80-119页

作者： Shufen Dai Xunjia Li Chengmei Jiang jianfeng ping Yibin Ying Laboratory of Agricultural Information Intelligent Sensing School of Biosystems Engineering and Food ScienceZhejiang UniversityHangzhouPeople's Republic of China Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province HangzhouPeople's Republic of China Key Laboratory of Micro/Nano-Sensing Technology for Biological Information Acquisition ZJU-Hangzhou Global Scientific and Technological Innovation CenterHangzhouPeople's Republic of China

Rapid iterations of sensing,energy,and communication technologies transform traditional agriculture into standardized,intensive,and smart modern ***,the energy supply challenge for the plentiful sensors or other microdevices constraints the extensive application of intelligent technologies in *** nanogenerator(TENG),which efficiently converts mechanical energy into electrical energy through contact electrification and electrostatic induction,is considered a promising way to build next-generation intelligent energy supply *** efficiently harvesting low-frequency mechanical energy from the agricultural environment,including wind,rain,and water flow energy,TENGs can be a strong contender for distributed power for microdevice networks in smart *** addition,highly customizable TENGs can be combined with microdevices in agriculture to enable self-powered agricultural monitoring and production strategy *** deeply exploring the application potential of TENG in agriculture,it is conducive to further promoting unmanned production,refinement,and intelligence of agricultural production and enhancing agriculture's ability to combat natural risks.

关键词： energy harvesting Internet of Things self-powered sensor smart agriculture triboelectric nanogenerator

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Plant-protein-enabled biodegradable triboelectric nanogenerator for sustainable agriculture

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Fundamental Research 2022年第6期2卷 974-984页

作者： Chengmei Jiang Qi Zhang Chengxin He Chi Zhang Xiaohui Feng Xunjia Li Qiang Zhao Yibin Ying jianfeng ping School of Biosystems Engineering and Food Science Zhejiang University866 Yuhangtang RoadHangzhouZhejiang 310058China State Key Laboratory of Food Science and Technology Nanchang UniversityJiangxi 330047China Hangzhou Thunder Agricultural Technology Co. LtdHangzhouZhejiang 311100China

As the use of triboelectric nanogenerators(TENGs)increases,the generation of related electronic waste has been a major ***,the development of environmentally friendly,biodegradable,and low-cost TENGs must be *** discovered that plant proteins,by-products of grain processing,possess excellent triboelectric properties,we explore these properties by evaluating the protein *** proteins are recycled to fabricate triboelectric layers,and the triboelectric series according to electrical properties is determined for the first *** a special structure design,we construct a plant-protein-enabled biodegradable TENG by integrating a polylactic acid film,which is used as a new type of mulch film to construct a growth-promoting system that generates space electric fields for ***,from the plant protein to the crop,a sustainable recycling loop is *** bean seedlings as a model to confirm the feasibility of the mulch film,we further use it in the cultivation of greenhouse *** results demonstrate the applicability of the proposed plant-protein-enabled biodegradable TENG in sustainable agriculture.

关键词： Energy harvesting Triboelectric nanogenerator Plant protein Sustainability Biodegradable Nanodevice

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Determination of trace heavy metals in milk using an ionic liquid and bismuth oxide nanoparticles modified carbon paste electrode

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Chinese Science Bulletin 2012年第15期57卷 1781-1787页

作者： ping jianfeng WU Jian YING YiBin College of Biosystems Engineering and Food Science Zhejiang University Hangzhou 310058 China

A novel carbon composite electrode modified with bismuth oxide nanoparticles and the ionic liquid n-octylpyridinium hexafluorophosphate was fabricated and used to simultaneously determine cadmium and lead levels using square wave anodic stripping *** electrode combines the unique advantages of nanomaterials and ionic liquid with the low cost and easy fabrication of the carbon composite *** with the traditional binder based composite electrode,our electrode exhibited well-defined and separate stripping voltammetric peaks for cadmium and ***,the antifouling capacity of the bismuth film electrode was significantly improved by the ionic *** optimized conditions,the linear range of the composite electrode was from 3.0 to 30.0 μg L-1 for both metal ions with a detection limit of 0.15 μg L-1 for cadmium and 0.21 μg L-1 for *** milk sample analyses showed that the modified electrode was sensitive,reliable and effective for the determination of trace heavy metals,holding great promise for routine analysis applications.

关键词：修饰碳糊电极微量重金属离子液体同时测定纳米粒子牛奶样品氧化铋碳纤维复合材料

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An integrated and robust plant pulse monitoring system based on biomimetic wearable sensor

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npj Flexible Electronics 2022年第1期6卷 430-438页

作者： Chao Zhang Chi Zhang Xinyue Wu jianfeng ping Yibin Ying Laboratory of Agricultural Information Intelligent Sensing College of Biosystems Engineering and Food ScienceZhejiang University866 Yuhangtang RoadHangzhou 310058PR China

Plant wearable sensors have potential to provide continuous measurements of plant physiological ***,stable and high-fidelity monitoring of plants with glandular hairs and wax is challenging,due to lacking interface adaptability of conventional plant wearable ***,inspired by adaptive winding plant tendrils,an integrated plant wearable system(IPWS)based on adaptive winding strain(AWS)sensor for plant pulse monitoring was *** IPWS consists of three modules,*** AWS sensor,a flexible printed circuit,and a smart phone APP display *** the key element,the AWS sensor can adaptively wrap around the tomato ***,with the serpentine-patterned laser-induced graphene,the AWS sensor exhibits excellent resistance to temperature interference with a temperature resistance coefficient of 0.17/℃.The IPWS is demonstrated to be stable and high-fidelity monitoring the plant pulse,which can reflect the growth and water state of tomato plant in real time.

关键词： wear winding pulse

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Control Strategies for Digital Twin Systems

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 170-180页

作者： Guo-ping Liu IEEE the Center for Control Science and Technology Southern University of Science and TechnologyShenzhen 518055China

With the continuous breakthrough in information technology and its integration into practical applications, industrial digital twins are expected to accelerate their development in the near future. This paper studies various control strategies for digital twin systems from the viewpoint of practical *** make full use of advantages of digital twins for control systems, an architecture of digital twin control systems, adaptive model tracking scheme, performance prediction scheme, performance retention scheme, and fault tolerant control scheme are proposed. Those schemes are detailed to deal with different issues on model tracking, performance prediction, performance retention, and fault tolerant control of digital twin systems. Also, the stability of digital twin control systems is analysed. The proposed schemes for digital twin control systems are illustrated by examples.

关键词： Digital twin control systems fault tolerant control model tracking performance prediction performance retention

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Channel assignment and power allocation for throughput improvement with PPO in B5G heterogeneous edge networks

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Digital Communications and Networks 2024年第1期10卷 109-116页

作者： Xiaoming He Yingchi Mao Yinqiu Liu ping ping Yan Hong Han Hu The College of Computer and Information Hohai UniversityNanjingChina The Key Laboratory of Water Big Data Technology of Ministry of Water Resources Hohai UniversityNanjing China The School of Computer Science and Engineering Nanyang Technological UniversitySingapore The College of Textile and Clothing Engineering Soochow UniversitySuzhouChina The College of Internet of Things Nanjing University of Posts and TelecomurunicationsNanjingChina

In Beyond the Fifth Generation(B5G)heterogeneous edge networks,numerous users are multiplexed on a channel or served on the same frequency resource block,in which case the transmitter applies coding and the receiver uses interference ***,uncoordinated radio resource allocation can reduce system throughput and lead to user inequity,for this reason,in this paper,channel allocation and power allocation problems are formulated to maximize the system sum rate and minimum user achievable *** the construction model is non-convex and the response variables are high-dimensional,a distributed Deep Reinforcement Learning(DRL)framework called distributed Proximal Policy Optimization(PPO)is proposed to allocate or assign ***,several simulated agents are trained in a heterogeneous environment to find robust behaviors that perform well in channel assignment and power ***,agents in the collection stage slow down,which hinders the learning of other ***,a preemption strategy is further proposed in this paper to optimize the distributed PPO,form DP-PPO and successfully mitigate the straggler *** experimental results show that our mechanism named DP-PPO improves the performance over other DRL methods.

关键词： B5G Heterogeneous edge networks PPO Channel assignment Power allocation Throughput

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Superiority of a Convolutional Neural Network Model over Dynamical Models in Predicting Central Pacific ENSO

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Advances in Atmospheric Sciences 2024年第1期41卷 141-154页

作者： Tingyu WANG ping HUANG Center for Monsoon System Research Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD) Nanjing University of Information Science&TechnologyNanjing 210044China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China University of Chinese Academy of Sciences Beijing 100049China

The application of deep learning is fast developing in climate prediction,in which El Ni?o–Southern Oscillation(ENSO),as the most dominant disaster-causing climate event,is a key *** studies have shown that deep learning methods possess a certain level of superiority in predicting ENSO *** present study develops a deep learning model for predicting the spatial pattern of sea surface temperature anomalies(SSTAs)in the equatorial Pacific by training a convolutional neural network(CNN)model with historical simulations from CMIP6 *** with dynamical models,the CNN model has higher skill in predicting the SSTAs in the equatorial western-central Pacific,but not in the eastern *** CNN model can successfully capture the small-scale precursors in the initial SSTAs for the development of central Pacific ENSO to distinguish the spatial mode up to a lead time of seven months.A fusion model combining the predictions of the CNN model and the dynamical models achieves higher skill than each of them for both central and eastern Pacific ENSO.

关键词： ENSO diversity deep learning ENSO prediction dynamical forecast system

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Manipulating submolecular-scale phototautomerization

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Science China Materials 2024年第6期67卷 2048-2050页

作者： ping Zhou Hongliang Chen Stoddart Institute of Molecular Science Department of ChemistryZhejiang UniversityHangzhou 310058China Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials ZJU-Hangzhou Global Scientific and Technological Innovation CenterZhejiang UniversityHangzhou 311215China

A recent study on the submolecular-scale control of phototautomerization methods and the underlying reaction mechanisms was reported in Nature Nanotechnology by Guillaume and co-workers[1],elucidating how the field confinement effect generated by the scanning tunneling microscope(STM)tip precisely triggers the phototautomerization of a free-base phthalocyanine at the submolecular level and demonstrating that the reaction process can be finely controlled by adjusting either the laser excitation wavelength or the position of the tip.

关键词： tunneling excitation phthalocyanine

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Understanding Human and Machine Interaction from Decision Perspective: An Empirical Study Based on the Game of Go

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Journal of Systems Science & Complexity 2024年第2期37卷 647-667页

作者： ZHAO ping LI Xuerong WANG Shouyang Academy of Mathematics and Systems Science Chinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100190China

The authors aim to interpret human and AI interactions from the decision *** authors decompose the interaction analysis into the following main components in the context of interactions:Individual behavior patterns,interaction relationships,and comprehensive *** authors interpret intertemporal decisions from a physical perspective and employ cross-discipline concepts and methodologies to extract the behavior characteristics of players in the empirical case *** the individual behavior patterns,the authors find that human players prefer short-term periods to AI in *** interaction relationship analysis reveals a dynamic relationship between possible short-term co-movement and nearly counter-movement in the long *** authors apply principal component analysis to descriptive indicators and discover a regular decision *** main behavior pattern of players in the game of Go is switching between careful and daring *** differences in the decision hierarchies imply a discrepancy of patience between humans and AI.

关键词： Coherence analysis decision hierarchy machine behaviour multitaper spectral analysis

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