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Characterization and source apportionment of pharmaceuticals in surface water of the Yangtze Estuary and adjacent sea

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Environmental science and Pollution Research 2024年第39期31卷 52171-52180页

作者： Chen, Chunzhao Tang, Jian Li, Fei Xue, Rui Xiao, Yihua Chen, Ling Yu, Gang Advanced Interdisciplinary Institute of Environment and Ecology Beijing Normal University Zhuhai519087 China Department of Chemistry and Environmental Science New Jersey Institute of Technology NJ United States Institute of Science and Technology Information Beijing Academy of Science and Technology Beijing100089 China School of Environmental and Municipal Engineering Qingdao University of Technology Qingdao266520 China State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and Engineering Tongji University Shanghai200092 China

Pharmaceuticals, which are closely linked to human activities, have attracted global attention. This study investigated the occurrence characteristics of 20 pharmaceuticals in surface water of the Yangtze Estuary and adjacent sea. A total of 14 targeted pharmaceuticals were detected in both spring and summer sampling campaigns. The mean concentrations of sulfonamides and non-sulfonamides were 36.60 ± 19.43 ng·L−1 and 50.02 ± 41.07 ng·L−1, respectively. As for non-antibiotics, their concentrations were in the range of 24.34 ± 916.8 ng·L−1 with caffeine accounting for 6.17 ~ 86.70% (average percentage of 42.22%). Meanwhile, spatial distribution patterns showed similarities between antibiotics and non-antibiotics, with high levels occurring near the upper estuary, aquaculture areas, wastewater treatment plants, and the maximum turbidity zone. This phenomenon could be related to the sources of pharmaceuticals and the physicochemical properties of water bodies. Obviously, the first three areas are highly impacted by human activities or serve as important sources of terrestrial contaminants entering the East China Sea. The last area retains high amounts of suspended particles which may exert strong trapping effects on hydrophobic chemicals. Principal component analysis revealed the presence of three potential sources for pharmaceuticals in the Yangtze Estuary, with a relatively high percentage originating from incompletely treated municipal sewage. As for the temporal trend, pharmaceutical contamination was found to be higher in spring compared to summer, potentially due to variations in pharmaceutical consumption patterns, local rainfalls, and water temperatures. These findings provide fundamental data support for implementing appropriate local management strategies for pharmaceutical usages. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Antibiotics

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Electromagnetic Scattering Analysis with the Reduced-Order Spectral-Element Time-Domain Method 9

Electromagnetic Scattering Analysis with the Reduced-Order S...

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9th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Ma, Lixian Fan, Zhenhong Bao, Huaguang Ding, Dazhi Anhui Provincial Key Laboratory of Electronic Information System Hefei230601 China Nanjing University of Science and Technology Nanjing210094 China

ISBN: (纸本)9781510664432

The reduced-order spectral-element time-domain method based on the proper orthogonal decomposition method is proposed to solve the electromagnetic scattering problem based on wave equation. The spectral-element time-domain method has been proved to have the advantages of high precision and block-diagonal mass matrix, so it is widely used to solve the electromagnetic scattering problem. The POD basis is obtained by the eigenvalues and eigenvectors of the correlation matrix, which is created by the snapshot matrix whose columns are the snapshot vectors extracted from the SETD simulation. It is proved that the method can reduce the computational cost on the basis of maintaining an acceptable accuracy. Numerical results demonstrate the advantage of the reduced-order SETD method. © 2023 SPIE.

关键词： Wave equations

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A reposition algorithm for e-hailing based on quantum annealing and intuitive reasoning

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Intelligent and Converged Networks 2024年第4期5卷 317-335页

作者： Chao Wang Yiyun Shi Sumin Wang Key Laboratory of Specialty Fiber Optics and Optical Access Networks Shanghai UniversityShanghai 200444China School of Information Engineering Ganzhou Key Laboratory of Cloud Computing and Big Data ResearchGannan University of Science and TechnologyGanzhou 341000China

Currently,the challenge lies in the traditional intelligent algorithm’s ability to effectively address the e-hailing repositioning *** identifying the underlying characteristics in extensive traffic data within a limited timeframe is difficult,ultimately preventing the achievement of the most optimal *** paper suggests a hybrid computing architecture involving reinforcement learning and quantum annealing based on intuitive *** reasoning aims to enhance performance in scenarios with poor system robustness,complex tasks,and diverse goals.A deep learning model is constructed,trained to extract scene features,and combined with expert knowledge,then transformed into a quantum annealable *** final strategy is obtained using a D-wave quantum computer with quantum tunneling effect,which helps in finding optimal solutions by jumping out of local suboptimal *** on 400000 real data,four algorithms are compared:minimum-cost flow,sequential markov decision process,hot-dot strategy,and driver-prefer *** average total revenue increases by about 10%and vehicle utilization by about 15%in various *** summary,the proposed architecture effectively solves the e-hailing reposition problem,offering new directions for robust artificial intelligence in big data decision problems.

关键词： intuitive reasoning reinforcement learning quantum annealing

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Research on active equalization algorithm of lithium battery based on frequent item statistics and transferred power 11

Research on active equalization algorithm of lithium battery...

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11th International Symposium on Precision Mechanical Measurements

作者： Li, Kun Dong, Mingli Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science and Technology University Beijing100192 China Beijing Laboratory of Optical Fiber Sensing and System Beijing Information Science & Technology University Beijing100016 China Guangzhou Nansha Intelligent Photonic Sensing Research Institute Guangdong Province Guangzhou511462 China

ISBN: (纸本)9781510680296

Aiming at the problem that precise equalization can not be carried out due to the poor consistency of the single battery, an active equalization method based on frequent item statistics and transfer power is proposed. The equalization basis is transformed from open circuit voltage, operating voltage, and state of charge (SOC) to transfer power. The active equalization topology is constructed with a single switched capacitor as the core. The data stream frequent pattern mining technology is introduced to count the transfer power summary information during the charge and discharge cycle of the single battery. The order and number of battery equalization are intelligently selected by the equalization algorithm. The capacitance size, voltage noise, transfer power summary information extraction process, and equalization strategy comparison simulation experiments were carried out. The proposed active equalization method can accurately select the number and sequence of battery equalization cells, minimize the back-and-forth flow of energy, effectively prolong the time of a single charge and discharge cycle, and improve the efficiency of the active equalization algorithm. © 2024 SPIE.

关键词： State of charge

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engineering Program 'Freshmen Motivation Week' 53

Engineering Program 'Freshmen Motivation Week'

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53rd IEEE ASEE Frontiers in Education International Conference, FIE 2023

作者： Brito, Claudio R Ciampi, Melany M Copec Science and Education Research Organization Santos Brazil World Organization on System Engineering and Information Technology Wcseit Braga Portugal

ISBN: (纸本)9798350336429

- COPEC's educational research team designed the engineering Program Freshmen Motivation Week for 2023. It was specially designed to provide first-year engineering students with time to receive guidance and be motivated to keep going even when things are not going well. just as good in years to come. The proposal is to show future engineers the good and bad sides of any undertaking in life and that giving up is not an option. They have special classes the week before the beginning of the semester with special subjects related to 'thinking outside the box', with practical exercises and guest speakers. The central core is the vision of the whole of being an engineer with a focus on the aspect of contributions to human well-being. This is a proposal for an engineering course at a private university, whose objective is student retention over the years. A first experiment was carried out and another week is planned for the next semester to reinforce and collect data on the effects of the 'Out of the Box' week, as it was designated. They are 100% in-class, and face-to-face due to the nature of the activities carried out throughout the week. © 2023 IEEE.

关键词： Creative Flow Motivation Perseverance Retention Special Classes

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Infrared and visible image fusion method based on saliency detection and multi-scale texture detail feature extraction 11

Infrared and visible image fusion method based on saliency d...

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11th International Symposium on Precision Mechanical Measurements

作者： Liu, Chenhua Zhang, Lin Deng, Lei Guo, Chentong Lu, Xitian Zhu, Lianqing Dong, Mingli Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science & Technology University Beijing100192 China Beijing Laboratory of Optical Fiber Sensing and System Beijing Information Science & Technology University Beijing100016 China Guangzhou Nansha Intelligent Photonic Sensing Research Institute Guangdong Province GuangZhou511462 China

ISBN: (纸本)9781510680296

A single Visible (VIS) image or Infrared (IR) image cannot clearly present the texture details and heat source information of the scene. The fusion task of IR images and VIS can combine the respective characteristics of the two types of modalities to form a new image with rich details, which can better serve advanced vision tasks. Firstly, Kmeans and connected component analysis are used to obtain the IR saliency map. Then, we use Gaussian pyramid to perform multi-scale decomposition of VIS images. Use Gabor filter to extract texture to generate VIS detail map. Finally we use the adaptive fusion rule to obtain high-quality fused images. By conducting a large number of experiments on TNO and LLVIP, and compared them with existing image fusion methods. The experimental results show that our proposed algorithm has potential performance in both quantitative and qualitative evaluations, and has real-time performance during the fusion process. © 2024 SPIE.

关键词： Gabor filters

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An Anti-interference network of CNN-BiGRU for Pipeline Corrosion Recognition with Fiber Optic DAS system

An Anti-interference network of CNN-BiGRU for Pipeline Corro...

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CLEO: Applications and technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics

作者： Zhang, Shixiong Li, Hao Fan, Cunzheng Yan, Baoqiang Yan, Zhijun Sun, Qizhen School of Optical and Electronic Information Optics Valley Laboratory National Engineering Research Center of Next Generation Internet Access-system Huazhong University of Science and Technology Hubei Wuhan430074 China PGMF School of Physics Huazhong University of Science and Technology Hubei Wuhan430074 China

ISBN: (纸本)9781957171395

An anti-interference network of CNN-BiGRU for pipeline corrosion recognition assisted with fiber optic DAS system is proposed. For the recognition of seven corrosion degrees in high-interference environment, the proposed model trained on data from one pipeline, can achieve the average accuracy of 83.4% for other pipelines. © Optica Publishing Group 2024, © 2024 The Author(s)

关键词： Pipeline corrosion

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A Derivative Matrix-Based Covert Communication Method in Blockchain

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Computer systems science & engineering 2023年第7期46卷 225-239页

作者： Xiang Zhang Xiaona Zhang Xiaorui Zhang Wei Sun Ruohan Meng Xingming Sun School of Computer and Software Nanjing University of Information Science&TechnologyNanjing210044China School of Hydrology and Water Resources Nanjing University of Information Science&TechnologyNanjing210044China Wuxi Research Institute Nanjing University of Information Science&TechnologyWuxi214100China Key Laboratory of Hydrometeorological Disaster Mechanism andWarning ofMinistry ofWater Resources Nanjing210044China Engineering Research Center of Digital Forensics Ministry of EducationJiangsu Engineering Center of Network MonitoringSchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) NanjingUniversity of Information Science&TechnologyNanjing210044China School of Automation Nanjing University of Information Science&TechnologyNanjing210044China School of Computer Science Engineering Nanyang Technological UniversitySingapore

The data in the blockchain cannot be tampered with and the users are anonymous,which enables the blockchain to be a natural carrier for covert ***,the existing methods of covert communication in blockchain suffer from the predefined channel structure,the capacity of a single transaction is not high,and the fixed transaction behaviors will lower the concealment of the communication ***,this paper proposes a derivation matrix-based covert communication method in *** uses dual-key to derive two types of blockchain addresses and then constructs an address matrix by dividing addresses into multiple layers to make full use of the redundancy of ***,to solve the problem of the lack of concealment caused by the fixed transaction behaviors,divide the rectangular matrix into square blocks with overlapping regions and then encrypt different blocks sequentially to make the transaction behaviors of the channel addresses match better with those of the real ***,the linear congruence algorithm is used to generate random sequence,which provides a random order for blocks encryption,and thus enhances the security of the encryption *** results show that this method can effectively reduce the abnormal transaction behaviors of addresses while ensuring the channel transmission efficiency.

关键词： Covert communication blockchain concealment security capacity derivation

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MSF-Net: A Multilevel Spatiotemporal Feature Fusion Network Combines Attention for Action Recognition

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Computer systems science & engineering 2023年第11期47卷 1433-1449页

作者： Mengmeng Yan Chuang Zhang Jinqi Chu Haichao Zhang Tao Ge Suting Chen School of Electronic and Information Engineering Nanjing University of Information Science and TechnologyNanjing210044China Jiangsu Key Laboratory of Meteorological Observation and Information Processing Nanjing210044China

An action recognition network that combines multi-level spatiotemporal feature fusion with an attention mechanism is proposed as a solution to the issues of single spatiotemporal feature scale extraction,information redundancy,and insufficient extraction of frequency domain information in channels in 3D convolutional neural ***,based on 3D CNN,this paper designs a new multilevel spatiotemporal feature fusion(MSF)structure,which is embedded in the network model,mainly through multilevel spatiotemporal feature separation,splicing and fusion,to achieve the fusion of spatial perceptual fields and short-medium-long time series information at different scales with reduced network parameters;In the second step,a multi-frequency channel and spatiotemporal attention module(FSAM)is introduced to assign different frequency features and spatiotemporal features in the channels are assigned corresponding weights to reduce the information redundancy of the feature ***,we embed the proposed method into the R3D model,which replaced the 2D convolutional filters in the 2D Resnet with 3D convolutional filters and conduct extensive experimental validation on the small and medium-sized dataset UCF101 and the largesized dataset *** findings revealed that our model increased the recognition accuracy on both *** on the UCF101 dataset,in particular,demonstrate that our model outperforms R3D in terms of a maximum recognition accuracy improvement of 7.2%while using 34.2%fewer *** MSF and FSAM are migrated to another traditional 3D action recognition model named C3D for application *** test results based on UCF101 show that the recognition accuracy is improved by 8.9%,proving the strong generalization ability and universality of the method in this paper.

关键词： 3D convolutional neural network action recognition MSF FSAM

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A High-Performance Data Verification Mechanism in Blockchain-Based IoT systems 21

A High-Performance Data Verification Mechanism in Blockchain...

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21st IEEE International Symposium on Parallel and Distributed Processing with Applications, 13th IEEE International Conference on Big Data and Cloud Computing, 16th IEEE International Conference on Social Computing and Networking and 13th International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Zhang, Jingyu Zhou, Pian Sun, Yongtao Luo, Lailong Changsha University of Science and Technology School of Computer and Communication Engineering Changsha China National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory School of Systems Engineering Changsha China

ISBN: (纸本)9798350329223

With the rapid development of the distributed network and communication, the Internet of Things (IoT) systems have been applied to all walks of life. Blockchain technology is one of the most popular research fields recently, which can provide a reliable storage solution and solve information security issues for IoT systems. Transaction information is the most critical fundamental data in the blockchain systems, which needs to be verified to avoid being tempered with by malicious nodes in the process of transmission. With the exponential growth of the number of IoT devices, the limitations of the current storage structure put too much pressure on the system nodes. How to improve verification efficiency has become a key challenge. To alleviate this problem, this paper proposes a novel high-performance verification mechanism for data security protection in blockchain-based IoT systems. We design a new storage structure based on Huffman trunk tree (HTT), and conduct the quantitative analysis of transaction weights. Transactions are stored in full-featured devices in the form of Huffman Merkle tree (HMT), and only the content of HTT is saved in lightweight devices. Finally, the performance superiority of our mechanism is proved through theoretical analysis and experimental evaluation. In blockchain-based IoT systems, our mechanism significantly reduces the data transmission cost and computation overhead, effectively improving the efficiency of data verification. © 2023 IEEE.

关键词： Efficiency

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