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Ultrasonic enhancement of persulfate oxidation system governs emerging pollutants decontamination

Green Energy & Environment 2024年第11期9卷 1666-1678页

作者： Yanpan Li Yanbo Zhou Yi Zhou National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical ProcessEast China University of Science and Technology130 Meilong RoadShanghai200237China Shanghai Engineering Research Center for Multi-media Environmental Catalysis and Resource Utilization East China University of Science and Technology130 Meilong RoadShanghai200237China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092China

Emerging contaminants (ECs) are widely present in aquatic environments, posing potential risks to both ecosystems and human health. Theultrasound-assisted persulfate oxidation process has attracted considerable attention in the degradation of ECs due to its ability to generate bothsulfate radicals and cavitation effects, enhancing degradation effects. In this paper, the principle of ultrasonic synergistic Fenton-like oxidationsystem for degrading organic pollutants was reviewed, divided into homogeneous system, non-homogeneous system, and single-atom system toexplore the synergistic effect of ultrasound-enhanced persulfate technology in three aspects, and the effects of environmental factors such asultrasonic frequency and power, system pH, temperature, and initial oxidant concentration on the system's decontamination performance werediscussed. Finally, future research on ultrasonically activated persulfate technology is summarized and prospected.

关键词： Ultrasound Persulfate Emerging contaminants Reaction mechanism Synergistic effects

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Enhanced hydrolytic removal of tylosin in wastewater using polymer-based solid acid catalysts converted from polystyrene

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Journal of Environmental Sciences 2023年第4期126卷 287-296页

作者： Shiling Li Shuhan Sun Fei Qi Xiaomin Dou Beijing Key Lab for Source Control Technology of Water Pollution College of Environmental Science and EngineeringBeijing Forestry UniversityBeijing 100083China Engineering Research Center for Water Pollution Source Control and Eco-remediation College of Environmental Science and EngineeringBeijing Forestry UniversityBeijing 100083China

Antibiotic production wastewater usually contains high concentrations of antibiotic residues,which can cause instability and deterioration of biological wastewater treatment units and also domestication and proliferation of antibiotic-resistance *** effective pretreatment on antibiotics production wastewater is expected to selectively reduce the concentration of antibiotics and decrease the toxicity,rather than mitigate organic and other contaminants before further *** this work,two polymer-based solid acids,PS-S and CPS-S bearing high concentrations of-SOH_(3)groups (up to 4.57 mmol/g),were prepared and successfully used for hydrolytic mitigation of 100 mg/L tylosin within 20 *** co-existence of high concentrations of COD and humic substances did not affect the mitigation of tylosin obviously,while more than 500 mg/L of nitrogenous compounds suppressed the hydrolytic *** and reuse experiments showed that the solid acids performed well in five cycles after *** transformation products (P1,P2 and P3)were identified using UPLC-QTOF-MS/*** moieties including mycarse,mycaminose,and mycinose detached and released simultaneously or in order from the 16-member lactone ring through desugarization,which led to a dramatic decrease in antibacterial activity as revealed by cytotoxicity evaluations using *** estimation indicated the acute toxicities of the hydrolyzed products to model species (e.g.,fish,daphnid and green algae) were classified as“not harmful”.This work suggested an effective and selective method to pretreat tylosin-contained production wastewater by using polymer-based solid *** results will shed light on effective elimination of antibiotics pollution from pharmaceutical industries through strengthening the pretreatments.

关键词： Polymer Sulfonation Solid acid catalysts Tylosin hydrolysis Antibiotic

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TIPS:Tailored Information Extraction in Public Security Using Domain-Enhanced Large Language Model

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Computers, Materials & Continua 2025年第5期83卷 2555-2572页

作者： Yue Liu Qinglang Guo Chunyao Yang Yong Liao School of Cyber Science and Technology University of Science and Technology of ChinaHefei230026China National Engineering Research Center for Public Safety Risk Perception and Control by Big Data China Academy of Electronics and Information TechnologyBeijing100041China

Processing police incident data in public security involves complex natural language processing(NLP)tasks,including information *** data contains extensive entity information—such as people,locations,and events—while also involving reasoning tasks like personnel classification,relationship judgment,and implicit ***,utilizing models for extracting information from police incident data poses a significant challenge—data scarcity,which limits the effectiveness of traditional rule-based and machine-learning *** address these,we propose *** collaboration with public security experts,we used de-identified police incident data to create templates that enable large language models(LLMs)to populate data slots and generate simulated data,enhancing data density and *** then designed schemas to efficiently manage complex extraction and reasoning tasks,constructing a high-quality dataset and fine-tuning multiple open-source *** showed that the fine-tuned ChatGLM-4-9B model achieved an F1 score of 87.14%,nearly 30%higher than the base model,significantly reducing error *** corrections further improved performance by 9.39%.This study demonstrates that combining largescale pre-trained models with limited high-quality domain-specific data can greatly enhance information extraction in low-resource environments,offering a new approach for intelligent public security applications.

关键词： Public security information extraction large language model prompt engineering

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Age of Transmission-Optimal Scheduling for State Update of Multi-Antenna Cellular Internet of Things

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China Communications 2022年第4期19卷 302-314页

作者： Song Li Min Li Ruirui Chen Yanjing Sun School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China Artificial Intelligence Research Institute China University of Mining and TechnologyXuzhou 221116China Xuzhou Engineering Research Center of Intelligent Industry Safety and Emergency Collaboration Xuzhou 221116China

Timely information updates are critical for real-time monitoring and control applications in the Internet of Things(IoT). In this paper, we consider a multi-antenna cellular IoT for state update where a base station(BS) collects information from randomly distributed IoT nodes through time-varying ***, multiple IoT nodes are allowed to transmit their state update simultaneously in a spatial multiplex manner. Inspired by age of information(AoI),we introduce a novel concept of age of transmission(AoT) for the sceneries in which BS cannot obtain the generation time of the packets waiting to be transmitted. The deadline-constrained AoT-optimal scheduling problem is formulated as a restless multi-armed bandit(RMAB) problem. Firstly, we prove the indexability of the scheduling problem and derive the closed-form of the Whittle index. Then, the interference graph and complementary graph are constructed to illustrate the interference between two nodes. The complete subgraphs are detected in the complementary graph to avoid inter-node interference. Next, an AoT-optimal scheduling strategy based on the Whittle index and complete subgraph detection is ***, numerous simulations are conducted to verify the performance of the proposed strategy.

关键词： age of transmission information freshness cellular IoT restless multi-armed bandit Whittle index

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Distributed Generalized Nash Equilibrium Seeking for Constrained N-Cluster Games with Second-Order Dynamics 63

Distributed Generalized Nash Equilibrium Seeking for Constra...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Zhao, Yan Meng, Min Li, Xiuxian Xu, Jia Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai200092 China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai Institute of Intelligent Science and Technology Tongji University College of Electronics and Information Engineering Department of Control Science and Engineering Shanghai China

ISBN: (纸本)9798350316339

This paper studies N-cluster games with secondorder dynamics, wherein the players' decisions are restricted by local set constraints and nonlinear coupled inequality constraints. The presence of second-order dynamics coupled with constraints leads to difficulties in the design and analysis of generalized Nash equilibrium (GNE) seeking algorithms, since it may be impossible to directly determine the decisions of players based on their control inputs. To facilitate the autonomous execution of N-cluster game tasks through secondorder players, by employing state feedback, projection, primaldual, dynamic average consensus, and passivity methods, a distributed algorithm is proposed to find the variational GNE of the studied games, under which the players' decisions can satisfy the set constraints all the time. Additionally, the algorithm's convergence is rigorously analyzed, and its efficacy is validated by a simulation example. © 2024 IEEE.

关键词： Nash equilibrium

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research on Gear Error Evaluation Algorithm Based on All Gear Edge Data Points 3

Research on Gear Error Evaluation Algorithm Based on All Gea...

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3rd International Conference on Testing technology and Automation engineering, TTAE 2023

作者： Cao, Ze Liu, Fucong Yan, Bing High-end Intelligent Machine Tool Engineering Research Center Tianjin University of Technology and Education Tianjin300222 China

ISBN: (纸本)9781510674769

In this paper, under the existing processing and testing technology conditions. The tooth profile data points of the gear are detected by a three-coordinate measuring machine. In order to improve the detection accuracy, the outlier data points are eliminated by using the distance formula based on the point to the straight line and the Pauta criterion. After completing the data point preprocessing, using B-spline curve fitting algorithm, realize the fitting of the involute of the gear. According to the fitting curve results and the involute error range of the standard gear, the involute cluster is calculated. Then use the equidistant curve formula to locate the involute closest to the measured data point. According to the radius of the base circle of the nearest involute from the data point and the coordinate value of the intersection point of the involute and the gear dividing circle, the cumulative pitch deviation ∆Fp of the gear and the radial runout tolerance of the ring gear ∆Fr are calculated, realize the error evaluation of gear. In order to optimize the processing technology of gear shaper, improve the accuracy of gear cutting, accurate data are provided. © 2024 SPIE.

关键词： Optimization

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Robustα-Fe_(2)O_(3)/Epoxy Resin Superhydrophobic Coatings for Anti-icing Property

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Journal of Wuhan University of technology(Materials Science) 2024年第3期39卷 621-626页

作者：乔燕明 TAO Xuan LI Lei 阮敏鲁礼林 College of Chemistry and Chemical Engineering Wuhan University of Science and TechnologyWuhan 430081China Hubei Key Laboratory of Mine Environmental Pollution Control&Remediation and Hubei Engineering Research Center for Collaborative Technology of Advanced Material Manufacturing and Solid Waste Recycling Hubei Polytechnic UniversityHuangshi 435003China

α-Fe_(2)O_(3)/epoxy resin composite superhydrophobic coating was prepared withα-Fe_(2)O_(3) nanoparticles and epoxy resin by spin coating *** coating without epoxy resin has higher contact angle(CA)and lower ice adhesion strength(IAS),but the mechanical properties are ***α-Fe_(2)O_(3)/epoxy resin composite superhydrophobic coating exhibits good mechanical *** addition,compared with the bare aluminum substrate,the Ecorr of the composite coating is positive and the Jcorr is *** inhibition efficiency of the composite coating is as high as 99.98%in 3.5 wt%NaCl *** difference in the microstructure caused by the two preparation methods leads to the changes in mechanical properties and corrosion resistance of composite superhydrophobic coating.

关键词： superhydrophobic anti-corrosion anti-icing robust

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Towards Personalized Anti-Tachycardia Pacing: A Formal Analysis of Reentry Mechanisms and Adaptive Algorithm Development 46

Towards Personalized Anti-Tachycardia Pacing: A Formal Analy...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Gu, Jicheng Cai, Peiheng Jiang, Zhihao ShanghaiTech University School of Information Science and Technology China Shanghai Engineering Research Center of Intelligent Vision and Imaging China

ISBN: (纸本)9798350371499

This paper presents a novel approach to Anti-Tachycardia Pacing (ATP) through a formal analysis of reentry mechanisms and the development of an adaptive ATP algorithm. We begin by examining the electrophysiological properties of the heart, focusing on how reentry is induced and respond to pacing stimuli. Utilizing these insights, we introduce the AdaptiveATP algorithm, which outperforms traditional methods in simulations by achieving higher success rates, shorter completion times, and fewer required stimulations. Our approach highlights the potential for personalized arrhythmia treatment by incorporating parameter constraints derived from ECG or EP studies, paving the way for more precise and effective cardiac *** relevance - This study provides a formal analysis of reentry mechanisms and ATP, leading to the development of a more efficient ATP algorithm with improved success rates, requiring fewer pacing interventions and less time. © 2024 IEEE.

关键词： Adaptive algorithms

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A Multimodal Brain Tumor Segmentation Method: Parallel Fusion of Transformer and CNN

A Multimodal Brain Tumor Segmentation Method: Parallel Fusio...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Zheng, Fang Zhou, Hang Li, Guoliang Ni, Fuchuan Huazhong Agricultural University Engineering Research Center of Intelligent Technology for Agriculture Ministry of Education Key Laboratory of Smart Farming Technology for Agricultural Animals Ministry of Agriculture and Rural Affairs College of Informatics Wuhan China Huazhong Agricultural University College of Informatics Wuhan China Hubei Engineering Technology Research Center of Agricultural Big Data Engineering Research Center of Intelligent Technology for Agriculture Ministry of Education Wuhan China

ISBN: (纸本)9798350386226

While convolutional neural network(CNN) have historically achieved significant success in 3D medical image segmentation, recent advancements in Vision Transformer (ViT) have led to increased popularity of Transformer architectures in this field. Leveraging the global information extraction capabilities of Transformers, we propose a novel parallel structure combining CNN and Transformer for multimodal brain tumor segmentation, named PTCNet. We introduce two key improvements to enhance multimodal segmentation:1) Introducing a novel channel attention module that replaces spatial self-attention in the Transformer to improve cross-modal information extraction.2) Enhancing the reversible feature extraction module based on residual structures to better detect small lesions. We evaluated our method on the BraTS 2023 brain metastasis dataset, achieving an average DSC of 61.42%, which is 1.12% higher than the second place. The innovative structure and improved modules of PTCNet significantly enhance performance in multimodal brain tumor segmentation tasks. Code and models are available at https://***/naiqizh/PTCNet. © 2024 IEEE.

关键词： Convolutional neural networks

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Predefined-Time Distributed Fault-Tolerant control for Nonlinear Multiagent Systems Suffering From Nonaffine Faults

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3300-3311页

作者： Cheng, Shuai Xin, Bin Chen, Jie Deng, Fang Qingdao University School of Automation Qingdao266071 China Beijing Institute of Technology School of Automation Beijing100081 China Beijing Institute of Technology National Key Laboratory of Autonomous Intelligent Unmanned Systems Beijing100081 China Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Department of Control Science and Engineering Shanghai200092 China

This article investigates the distributed predefined-time (PT) fault-tolerant control for nonlinear multiagent systems (NNMSs) with nonaffine faults. A novel distributed PT control scheme is proposed based on a new PT theorem. The switching functions are introduced into distributed control signals to avoid the singularity problem. The second-order filter technology is designed to solve "explosion of complexity" issues. The newly designed PT compensation signals are utilized to eliminate filter errors. The proposed distributed PT controller based on local information can guarantee that all signals of the closed-loop system are PT bounded, and consensus errors of NNMSs can be enforced to a small region around the origin within a predefined time. Compared with the finite/fixed time, the predefined time is an exact value given in advance, which remains constant regardless of initial states and control parameters. Finally, two comparative simulations are provided to demonstrate the presented strategy. © 2013 IEEE.

关键词： Adaptive control systems

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