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Emerging contaminants:A One Health perspective

The Innovation 2024年第4期5卷 140-170,139页

作者： Fang Wang Leilei Xiang Kelvin Sze-Yin Leung Martin Elsner Ying Zhang Yuming Guo Bo Pan Hongwen Sun Taicheng An Guangguo Ying Bryan WBrooks Deyi Hou Damian EHelbling Jianqiang Sun Hao Qiu Timothy MVogel Wei Zhang Yanzheng Gao Myrna JSimpson Yi Luo Scott XChang Guanyong Su Bryan MWong Tzung-May Fu Dong Zhu Karl JJobst Chengjun Ge Frederic Coulon Jean Damascene Harindintwali Xiankui Zeng Haijun Wang Yuhao Fu Zhong Wei Rainer Lohmann Changer Chen Yang Song Concepcion Sanchez-Cid Yu Wang Ali El-Naggar Yiming Yao Yanran Huang Japhet Cheuk-Fung Law Chenggang Gu Huizhong Shen Yanpeng Gao Chao Qin Hao Li Tong Zhang Natàlia Corcoll Min Liu Daniel SAlessi Hui Li Kristian KBrandt Yolanda Pico Cheng Gu Jianhua Guo Jianqiang Su Philippe Corvini Mao Ye Teresa Rocha-Santos Huan He Yi Yang Meiping Tong Weina Zhang Fidèle Suanon Ferdi Brahushi Zhenyu Wang Syed AHashsham Marko Virta Qingbin Yuan Gaofei Jiang Louis A.Tremblay Qingwei Bu Jichun Wu Willie Peijnenburg Edward Topp Xinde Cao Xin Jiang Minghui Zheng Taolin Zhang Yongming Luo Lizhong Zhu Xiangdong Li DamiàBarceló Jianmin Chen Baoshan Xing Wulf Amelung Zongwei Cai Ravi Naidu Qirong Shen Janusz Pawliszyn Yong-guan Zhu Andreas Schaeffer Matthias C.Rillig Fengchang Wu Gang Yu James M.Tiedje State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China University of Chinese Academy of Sciences Beijing 100049China Department of Chemistry Hong Kong Baptist UniversityHong KongChina HKBU Institute of Research and Continuing Education Shenzhen Virtual University ParkShenzhenChina Technical University of Munich TUM School of Natural SciencesInstitute of Hydrochemistry85748 GarchingGermany School of Resources&Environment Northeast Agricultural UniversityHarbin 150030China Climate Air Quality Research UnitSchool of Public Health and Preventive MedicineMonash UniversityMelbourneVICAustralia Faculty of Environmental Science&Engineering Kunming University of Science&TechnologyKunming 650500China Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria College of Environmental Science and EngineeringNankai UniversityTianjin 300350China Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China Ministry of Education Key Laboratory of Environmental Theoretical Chemistry South China Normal UniversityGuangzhouGuangdong 510006China Department of Environmental Science Baylor UniversityWacoTXUSA Center for Reservoir and Aquatic Systems Research(CRASR) Baylor UniversityWacoTXUSA School of Environment Tsinghua UniversityBeijing 100084China School of Civil and Environmental Engineering Cornell UniversityIthacaNY 14853USA Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province Zhejiang University of TechnologyHangzhou 310014China School of Environmental Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Laboratoire d’Ecologie Microbienne Universite Claude Bernard Lyon 1UMR CNRS 5557UMR INRAE 1418VetAgro Sup69622 VilleurbanneFrance Department of Pla

Environmental pollution is escalating due to rapid global development that often prioritizes human needs over planetary *** global efforts to mitigate legacy pollutants,the continuous introduction of new substances remains a major threat to both people and the *** response,global initiatives are focusing on risk assessment and regulation of emerging contaminants,as demonstrated by the ongoing efforts to establish the UN’s Intergovernmental Science-Policy Panel on Chemicals,Waste,and Pollution *** review identifies the sources and impacts of emerging contaminants on planetary health,emphasizing the importance of adopting a One Health *** for monitoring and addressing these pollutants are discussed,underscoring the need for robust and socially equitable environmental policies at both regional and international *** actions are needed to transition toward sustainable pollution management practices to safeguard our planet for future generations.

关键词： pollution planet contaminants

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RGB-D Instance Segmentation-based Suction Point Detection for Grasping

RGB-D Instance Segmentation-based Suction Point Detection fo...

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IEEE International Conference on Robotics and Biomimetics

作者： Yeyu Fu Ting Sun Li Wang Shijie Yu Lei Deng Baohua Chen Lin Li Yusen Xie Shuixin Deng Hanxi Yin Joint International Research Laboratory of Advanced Photonics and Elextronics Beijing Information Science & Technology University Beijing China Department of Perception zhong-guancun Open Lab. Space Optoelectronic Measurement and Perception Lab. Beijing Institute of Control Engineering Beijing China Department of Automation Tsinghua University Beijing China

ISBN: (纸本)9781665481106

Suction is a common way for robots to pick objects in industry, which has higher stability and reliability. However, it is necessary to evaluate the suction position on the object's surface when dealing with objects of different shapes. The previous method decouples it into a two-stage suction point detection and objects classification process, making the task more complex and time-consuming. On the other hand, there are significant challenges in acquiring training data. To address that, we propose an object instance segmentation-based suction grasping point detection method. Instance segmentation, as an object pixel-level perception method, can classify objects and find the orientation of objects in the plane, which is more efficient than simple classification. Specifically, our method generate a suction heatmap and object instance segmentation from RGB-D inputs and find the suction grasping position of each object after candidate points screening. To generate the training data, a heatmap mask based on 2D Gaussian-encoded is used to annotate the suction grasping ground truth. We evaluate each object's predicted suction grasping point results and conduct grasping experiments in real environments. The suction grasping success rate of 94% in dense scenes demonstrates the remarkable performance of the proposed method.

关键词： Heating systems Shape Service robots Design methodology Training data Grasping Stability analysis

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Progress of the TianQin project

arXiv

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arXiv 2025年

作者： Luo, Jun Bai, Shaojun Bai, Yan-Zheng Cai, Lin Dang, Hao Dong, Qijia Duan, Hui-Zong Du, Yuanbo Fan, Lei Fu, Xinju Gao, Yong Gou, Xingyu Gu, Defeng Guo, Changlei Hong, Wei Hu, Bin Hu, Heran Hu, Ming Hu, Yi-Ming Huang, Fa Peng Ji, Xin Jiang, Yuan-Ze Li, En-Kun Li, Hongyin Li, Ming Li, Ming Li, Yong Li, Zhu Li, Zizheng Lian, JunXiang Liang, Yu-Rong Lin, Xudong Liu, Jianping Liu, Lin-Xia Liu, Kui Liu, Li Liu, Minghe Liu, Qi Liu, Yan-Chong Liu, Yue Luo, Peng-Shun Luo, Yingxin Ma, Yi-Qiu Ma, Yun Meng, Yunhe Milyukov, Vadim Peng, Jian-Guo Postnov, Konstantin Qu, Shao-Bo Shan, Tilei Shao, Cheng-Gang Shi, Changfu Song, Pei-Yi Song, Yunfei Su, Wei Tan, Ding Yin Tan, Shuping Tan, Yu-Jie Tan, Wenhai Tu, Liangcheng Wang, Cheng-Rui Wang, Guoyong Wang, Lijiao Wang, Pan-Pan Wang, Shun Wang, Xiaoyong Wang, Xudong Wang, Yan Wei, Ran Wu, Shu-Chao Xu, Jie Xu, Zhi-Lin Xue, Chao Yan, Hao Yan, Yong Yang, Changpeng Yang, Shanqing Yeh, Hsien-Chi Yin, Hang Tong, Yelong Yu, Jian-Bo Yuan, Wen-Hao Zhang, Bu-Tian Zhang, Dexuan Zhang, Jian-Dong Zhang, Jie Zhang, Lihua Zhang, Xuefeng Zhao, Guoying Zhao, Liqian Zhao, Xin Zhou, An-Nan Zhou, Hao Zhou, Peng Zhou, Yupeng Zhou, Ze-Bing Zhu, Fan Zhu, Liang-Gui Zhu, Lin Zou, Kui Mei, Jianwei MOE Key Laboratory of TianQin Mission TianQin Research Center for Gravitational Physics School of Physics and Astronomy Frontiers Science Center for TianQin Gravitational Wave Research Center of CNSA Sun Yat-sen University Zhuhai Campus Zhuhai519082 China National Gravitation Laboratory MOE Key Laboratory of Fundamental Physical Quantities Measurement School of Physics Huazhong University of Science and Technology Wuhan430074 China DFH Satellite Co. Ltd. Beijing100094 China Beijing Institute of Space Mechanics & Electricity Beijing100076 China National Key Laboratory of Spacecraft Thermal Control of Institute of Spacecraft System Engineering Beijing100094 China Space Star Technology CO. LTD. Beijing100095 China Beijing Institute of Control Engineering Beijing100094 China School of Artificial Intelligence Sun Yat-sen University Zhuhai Campus Zhuhai519082 China Shanxi Xi’an710199 China Sternberg Astronomical Institute M.V. Lomonosov Moscow State University Moscow119234 Russia Kavli Institute for Astronomy and Astrophysics Peking University Beijing100871 China

TianQin is a future space-based gravitational wave observatory targeting the frequency window of 10−4 Hz ∼ 1 Hz. A large variety of gravitational wave sources are expected in this frequency band, including the merger of massive black hole binaries, the inspiral of extreme/intermediate mass ratio systems, stellar-mass black hole binaries, Galactic compact binaries, and so on. TianQin will consist of three Earth orbiting satellites on nearly identical orbits with orbital radii of about 105 km. The satellites will form a normal triangle constellation whose plane is nearly perpendicular to the ecliptic plane. The TianQin project has been progressing smoothly following the "0123" technology roadmap. In step "0", the TianQin laser ranging station has been constructed and it has successfully ranged to all the five retro-reflectors on the Moon. In step "1", the drag-free control technology has been tested and demonstrated using the TianQin-1 satellite. In step "2", the inter-satellite laser interferometry technology will be tested using the pair of TianQin-2 satellites. The TianQin-2 mission has been officially approved and the satellites will be launched around 2026. In step "3", i.e., the TianQin-3 mission, three identical satellites will be launched around 2035 to form the space-based gravitational wave detector, TianQin, and to start gravitational wave detection in space. © 2025, CC BY.

关键词： Laser interferometry

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Synergistic wedge effect for low-temperature doping in dual-phase dielectric ceramics

引用

Journal of Materials Science & technology 2025年

作者： Yanzhao Zhang GuoXiang Zhou Yuhang Zhang Ning Xie Lanlan Yang Kunpeng Lin Zhe Zhao Meiling Yang Huatay Lin Zhihua Yang Dechang Jia Yu Zhou Institute for Advanced Ceramics School of Materials Science and Engineering Harbin Institute of Technology Harbin 150001 China Chongqing Research Institute Harbin Institute of Technology Chongqing 401135 China Shandong Provincial Key Laboratory of Preparation and Measurement of Building Materials University of Jinan Jinan 250000 China School of Microelectronics and Communication Engineering Chongqing University Chongqing 400044 China School of Electromechanical Engineering Guangdong University of Technology Guangzhou 510006 China School of Materials Science and Engineering Harbin Institute of Technology (Shenzhen) Shenzhen 518055 China

Selective ion doping is a promising method to enhance the overall performance of perovskite dielectric ceramics. However, the confrontations among the dielectric constant ( ε r ), near-zero temperature coefficient of resonant frequency (TCF), and quality factor ( Q × f ) remain key challenges in high-performance dielectric ceramics. To leverage the trade-off conflicts, using dual-phase perovskite-based dielectric ceramic composites could be a potentially ideal solution. Unfortunately, the selected ions are hard to be doped into the perovskite phase due to the sintering temperature disparity of the two phases, thereby significantly impacting the modification effect. In this study, a “wedge” strategy was employed in a MgTiO 3 -CaTiO 3 dual-phase dielectric ceramic composite by using Ce as an auxiliary dopant to realize the main Hf doping in the CaTiO 3 phase due to the lattice distortion. This strategy also harmonizes the confrontation of the sintering temperature disparity between the two components of CaTiO 3 and MgTiO 3 . The Hf 4+ doping level of as high as 40 mol.% with a reduced sintering temperature of over 200 °C was successfully achieved by using this “wedge” strategy. Most importantly, the trade-off conflicts among the ε r , near-zero TCF, and Q × f have been considerably reduced and harmonized due to the successful introduction of a high dosage of Hf dopant in the CaTiO 3 phase without sacrificing the intact structure of MgTiO 3 . This strategy not only sheds light on manufacturing high-performance dual-phase dielectric ceramics with trade-off conflicts of properties but also provides an innovative pathway to address the challenge of mismatch of sintering temperature for selective ion doping in multiple-phase ceramic composites.

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Secure Computation Offloading via Cooperative Jamming in Marine IoT Networks

Secure Computation Offloading via Cooperative Jamming in Mar...

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GLOBECOM 2022 - 2022 IEEE Global communications Conference

作者： Li Ping Qian Mingqing Li Xinyu Dong Yuan Wu Xiaoniu Yang College of Information Engineering Zhejiang University of Technology Hangzhou Zhejiang China Department of Computer and Information Science University of Macau Macao SAR China State Key Laboratory of Internet of Things for Smart City University of Macau Macao SAR China Science and Technology on Communication Information Security Control Laboratory Jiaxing China Institute of Cyberspace Security Zhejiang University of Technology Hangzhou China

ISBN: (纸本)9781665435413

Edge computing has been envisioned as a promising approach to enable the computation-intensive yet latencysensitive marine mobile services in the fifth generation and beyond wireless networks. In this paper, we investigate the edge computing in Marine Internet of Things (M-IoT) via the assistance of unmanned surface vehicles (USVs) subject to the eavesdropping attack. In particular, we consider a scenario in which USVs are exploited to provide cooperative jamming for the communication security at the physical layer when the high altitude platform (HAP) is performing task offloading transmission. We jointly optimize the workload offloaded by HAP, the HAP's transmission power as well as each USV's interfering signal power with the objective of minimizing the total energy consumption for completing the total workloads under the latency constraint. The bisection search method is first adopted to obtain the optimal solutions to the offloaded workload and each USV's interfering signal power. Further, by exploiting the monotonicity, the polyblock outer approximation based algorithm (POA-Algorithm) is designed to obtain the HAP's optimal transmission power. Finally, numerical results validate the optimality and effectiveness of our proposed algorithm by comparing it with the results of LINGO and different jamming schemes.

关键词： Energy consumption Wireless networks Search methods Physical layer Approximation algorithms Security Jamming

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Active Disturbance Rejection control Strategy Applied to Oxygen Excess Ratio for Proton Exchange Membrane Fuel Cells System

SSRN

引用

SSRN 2022年

作者： Huo, Weiwei Zhang, Ning Li, Chen Institute of Electromechanical Engineering Beijing Information Science and Technology University 12 Xiaoying East Road Qinghe Haidian District Beijing100192 China Collaborative Innovation Center of Electric Vehicles in Beijing Beijing Information Science & Technology University Beijing100192 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China Research Institute of Highway Ministry of Transport No. 8 Xitucheng Road Haidian District Beijing100088 China

Air inlet flow control is critical for performance of Proton Exchange Mambrane Fuel Cells (PEMFC). An essential gauge for air input flow is the oxygen excess ratio (OER). However, accurate controlling for OER is a huge challenge because of the erroneous modeling, imprecise parameter values, and disturbances. An Active Disturbance Rejection control (ADRC) approach is suggested in this research as a means of resolving the issue of fuel cells' internal and exterior interference. Firstly, the total disturbance is obtained using an extended state observer. Secondly, the total disturbance is compensated before the control action to determine the control quantity for air supply, which is further controlled by modifying the air compressor's voltage. The performance comparison between the suggested approach and PID and fuzzy PID control shows that the proposed technique can achieve a higher reliability for managing the mechanical faults of the air compressor. In addition, the root mean square error (RMSE) of control time and overshoot is smaller. © 2022, The Authors. All rights reserved.

关键词： Proton exchange membrane fuel cells (PEMFC)

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Deflection analysis of capacitive micromachined ultrasonic transducer with InP nanowires 7

Deflection analysis of capacitive micromachined ultrasonic t...

引用

7th International Conference on Signal Processing and Integrated Networks, SPIN 2020

作者： Tripathi, Sudhanshu Agarwal, Rekha Vashisth, Rashmi Singh, Devraj University School of Information Communication and Technology Guru Gobind Singh Indraprastha University Dwarka Delhi110078 India Department of Instrumentation and Control Engineering Amity School of Engineering and Technology Noida Uttar Pradesh201313 India Department of Electronics and Communication Engineering Amity School of Engineering and Technology Noida Uttar Pradesh201313 India Department of Physics Institute of Physical Sciences for Study and Research V.B.S.Purvanchal University Jaunpur Uttar Pradesh222003 India

ISBN: (纸本)9781728154756

In this paper, the clamped circular CMUT model developed using thin plate Kirchhoff's theory is utilized for structural analysis. The CMUT with wurtzite indium-phosphide nanowires as membrane material has been analyzed, and results discussed for resonant frequency, capacitance variation, pull-in/collapse voltage along with deflection profile. This has been found that CMUT with indium phosphide membrane is suitable for air-borne applications. © 2020 IEEE.

关键词： Natural frequencies

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Asymmetric CPW-Fed Multistubs Loaded Compact Printed Multiband Antenna for Wireless Applications 3rd

Asymmetric CPW-Fed Multistubs Loaded Compact Printed Multiba...

引用

3rd International Conference on Optical and Wireless Technologies, OWT 2019

作者： Kumar, Ashok Deegwal, Jitendra Kumar Kumar, Arjun Verma, Karan Department of Electronics and Communication Engineering Govt. Mahila Engineering College AjmerRajasthan305002 India Department of Electronics Instrumentation and Control Engineering Govt. Engineering College AjmerRajasthan305025 India Department of Electronics and Communication Engineering Bennett University Greater NoidaUttar Pradesh201310 India Department of Computer Science and Engineering National Institute of Technology Delhi New Delhi110040 India

ISBN: (纸本)9789811529252

An asymmetric coplanar waveguide-fed branched multistubs resonators loaded printed antenna is presented for multiband operation. By incorporating an asymmetrical long and short L-shaped branched stubs, the lower resonances for 2.4 and 3.5 GHz bands are achieved while the higher resonance for 5.5 GHz band is achieved by embedding horizontal stub on asymmetric CPW-fed printed antenna. By placing multistubs resonators at suitable location on asymmetric CPW-fed printed antenna, it is likely to excite the triple resonances at 2.44/3.66/5.25 GHz frequencies and antenna exhibits the bandwidths of 5.73% (140 MHz, 2.36–2.50 GHz), 16.98% (630 MHz, 3.40–4.03 GHz), and 14.65% (800 MHz, 5.06–5.86 GHz), respectively. The design procedure and antenna characteristics of the proposed multistubs loaded multiband antenna are presented. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Microstrip antennas

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Retinal Disorder Diagnosis Based on Hybrid Deep Learning Models

SSRN

引用

SSRN 2022年

作者： Sedik, Ahmed El-Hag, Noha A. El-Hoseny, Heba M. El-Banby, Ghada M. Khalaf, Ashraf A.M. Abd El-Samie, Fathi E. El-Shafai, Walid Department of the Robotics and Intelligent Machines Faculty of Artificial Intelligence Kafrelsheikh University Egypt Menoufia University Egypt Department of Electronics and Electrical Communication Engineering Al-Obour High Institute for Engineering and Technology Egypt Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Deptartment of Electronics and Electrical Communication Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Riyadh84428 Saudi Arabia Security Engineering Lab Computer Science Department Prince Sultan University Riyadh11586 Saudi Arabia

Anomaly detection from medical images is badly needed for automated diagnosis. For example, medical images obtainedwith several modalities such as magnetic resonance (MR) and confocal microscopy need to be classified for anomaly *** MR images may contain tumors that need to be detected with anomaly detection techniques. In MR imaging, braintumors are represented as areas composed of abnormal cells that need to be detected. In addition, confocal microscopy can be used for retinal imaging. Hence, there is a need to apply classification techniques for diagnosing diseases of the eye such as Diabetic Retinopathy (DR), which leads to exudates in different regions of the retina. The detection of exudates is necessary for the diagnosis of DR. In this paper, two models are presented for the classification of MR and retinal images. Much research has been done in this area, but it did not achieve high accuracy of classification in an acceptable time. In addition, the previous models did not consider both types of image modalities considered in this paper. The suggested models are Convolutional Neural Network (CNN) and Convolutional Long Short-Term Memory (Conv-LSTM). They are used to classify © 2022, The Authors. All rights reserved.

关键词： Ophthalmology

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Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management

arXiv

引用

arXiv 2022年

作者： Li, Yuanzheng He, Shangyang Li, Yang Shi, Yang Zeng, Zhigang School of Artificial Intelligence and Automation Key Laboratory on Image Information Processing and Intelligent Control of Ministry of Education Huazhong University of Science and Technology Wuhan430074 China China-Belt and Road Joint Laboratory on Measurement and Control Technology Wuhan430074 China China-EU Institute for Clean and Renewable Energy Huazhong University of Science and Technology Wuhan430074 China School of Electrical Engineering Northeast Electric Power University Jilin132012 China The Department of Mechanical Engineering University of Victoria VictoriaBC V8P 5C2 Canada

The utilization of large-scale distributed renewable energy promotes the development of the multi-microgrid (MMG), which raises the need of developing an effective energy management method to minimize economic costs and keep self energy-sufficiency. The multi-agent deep reinforcement learning (MADRL) has been widely used for the energy management problem because of its real-time scheduling ability. However, its training requires massive energy operation data of microgrids (MGs), while gathering these data from different MGs would threaten their privacy and data security. Therefore, this paper tackles this practical yet challenging issue by proposing a federated multi-agent deep reinforcement learning (F-MADRL) algorithm via the physics-informed reward. In this algorithm, the federated learning (FL) mechanism is introduced to train the F-MADRL algorithm thus ensures the privacy and the security of data. In addition, a decentralized MMG model is built, and the energy of each participated MG is managed by an agent, which aims to minimize economic costs and keep self energy-sufficiency according to the physics-informed reward. At first, MGs individually execute the self-training based on local energy operation data to train their local agent models. Then, these local models are periodically uploaded to a server and their parameters are aggregated to build a global agent, which will be broadcasted to MGs and replace their local agents. In this way, the experience of each MG agent can be shared and the energy operation data is not explicitly transmitted, thus protecting the privacy and ensuring data security. Finally, experiments are conducted on Oak Ridge national laboratory distributed energy control communication lab microgrid (ORNL-MG) test system, and the comparisons are carried out to verify the effectiveness of introducing the FL mechanism and the outperformance of our proposed F-MADRL. Copyright © 2022, The Authors. All rights reserved.

关键词： Reinforcement learning

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