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14th Asian control Conference, ASCC 2024

作者： Zhou, Wenhao Li, Yingxuan Zhao, Jiancheng Zhao, Chunhui College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou China

ISBN: (纸本)9789887581598

Weakly supervised video anomaly detection is chal-lenging due to the lack of frame-level labels in abnormal videos. Previous work generally formulates it as a multiple instance learning (MIL) problem, in which abundant snippets especially including hard snippets in abnormal videos are underutilized, causing the training process to be dominated by redundant easy snippets. In this work, we introduce a semi-supervised learning perspective and aim to provide reliable snippet-level labels for abnormal videos to fully leverage them. Specifically, we propose a relabeling strategy by utilizing the Label Propagation Network (LPN) to propagate labels from confident snippets to hard snippets. Considering label propagation tends to be fragile and inaccurate in this case due to incorrect pseudo labels, we develop a feature relation module to enhance the intra-class compactness and inter-class dispersion, as well as a label separation module to enlarge the discrepancy of propagated labels. The overall model is designed to be concise and universal, which can be applied to existing weakly supervised methods to improve performance. Extensive experiments demonstrate that our method achieves state-of-the-art results on three benchmark datasets. © 2024 Asian control Association.

关键词： Self-supervised learning

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Continued evolution of H10N3 influenza virus with adaptive mutations poses an increased threat to mammals

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Virologica Sinica 2024年第4期39卷 546-555页

作者： Shiping Ding Jiangtao Zhou Junlong Xiong Xiaowen Du Wenzhuo Yang Jinyu Huang Yi Liu Lihong Huang Ming Liao Jiahao Zhang Wenbao Qi State Key Laboratory for Animal Disease Control and Prevention South China Agricultural UniversityGuangzhou510642China National Avian Influenza Para-Reference Laboratory Guangzhou510642China Key Laboratory of Zoonoses Ministry of Agriculture and Rural AffairsGuangzhou510642China National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control Guangzhou510642China Key Laboratory of Zoonoses Prevention and Control of Guangdong Province Guangzhou510642China State Key Laboratory of Agricultural Microbiology College of Veterinary MedicineHuazhong Agricultural UniversityWuhan430070China College of Animal Science and Technology Zhongkai University of Agriculture and EngineeringGuangzhou510550China

The H10 subtype avian influenza virus(AIV)poses an ongoing threat to both birds and ***,fatal human cases of H10N3 and H10N8 infections have drawn public *** 2022,we isolated two H10N3 viruses(A/chicken/Shandong/0101/2022 and A/chicken/Shandong/0603/2022)from diseased chickens in *** analysis revealed that these viruses were genetically associated with human-origin H10N3 virus,with internal genes originating from local H9N2 *** to the H10N8 virus(A/chicken/Jiangxi/102/2013),the H10N3 viruses exhibited enhanced thermostability,increased viral release from erythrocytes,and accumulation of hemagglutinin(HA)***,we evaluated the pathogenicity of both H10N3 and H10N8 viruses in *** found that viral titers could be detected in the lungs and nasal turbinates of mice infected with the two H10N3 viruses,whereas H10N8 virus titers were detectable in the lungs and brains of ***,the proportion of double HA Q222R and G228S mutations in H10N3 viruses has increased since ***,the functional roles of the Q222R and G228S double mutations in the HA gene of H10N3 viruses remain unknown and warrant further *** study highlights the potential public health risk posed by the H10N3 virus.A spillover event of AIV to humans could be a foretaste of a looming ***,it is imperative to continuously monitor the evolution of the H10N3 influenza virus to ensure targeted prevention and control measures against influenza outbreaks.

关键词： Avian influenza virus(AIV) H10N3 Evolution Pathogenicity

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Development of a Compact Optical Layout for a Miniature Fluorescence Spectrometer: In-Situ Detection of Organic Pollutants in Aquatic Environment

Development of a Compact Optical Layout for a Miniature Fluo...

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2024 China Automation Congress, CAC 2024

作者： Fan, Xingyu Yu, Jie Zhang, Qiuhao Cao, Shuai Zhang, Lingke Xue, Fangjia State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (纸本)9798350368604

In recent years, the increasing presence of emerging organic pollutants in rivers, lakes, and other aquatic environments has posed significant threats to human health and ecological safety. Current monitoring technologies for these pollutants face several challenges, including the high cost of equipment and the scarcity of trained professionals. Furthermore, existing portable fluorescence sensors are limited by inadequate data, unsuitability for in-situ water environments, and the ability to detect only specific pollutants. This paper proposes a novel design for an in-situ miniature fluorescence spectrometer, utilizing a compact optical layout to monitor organic pollutants in water. The design features a high-power UV LED combined with a lens group to enhance the fluorescence excitation effect of low-concentration organic pollutants. The system components are integrated into a compact layout centered around a flow cell, significantly reducing the device's size. In experimental validation, vitamin B was used as a model organic pollutant to test the prototype's detection capabilities. Within the concentration range of 1 - 100 μg/L, the fluorescence intensity exhibited a strong linear correlation with the vitamin B concentration, achieving an R2 value of 0.9945, comparable to that of commercial spectrometers. This portable device demonstrates excellent performance in detecting organic matter and offers significant advantages for in-situ monitoring applications, making it well-suited for real-time pollutant detection in rivers, lakes, and other aquatic environments. © 2024 IEEE.

关键词： Lake pollution

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Discovery of emerging organic pollutants in the atmosphere through an omics approach

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Frontiers of Environmental Science & engineering 2023年第4期17卷 71-81页

作者： Zhen Cheng Xinghua Qiu Xiaodi Shi Xing Jiang Tong Zhu State Key Joint Laboratory for Environmental Simulation and Pollution Control College of Environmental Sciences and EngineeringCenter for Environment and HealthPeking UniversityBeijing 100871China

Ambient air pollution,containing numerous known and hitherto unknown compounds,is a major risk factor for public *** discovery of harmful components is the prerequisite for pollution control;however,this raises a great challenge on recognizing previously unknown *** we systematically review the analytical techniques on air pollution in the framework of an omics approach,with a brief introduction on sample preparation and analysis,and in more detail,compounds prioritization and *** high-resolution mass spectrometry(HRMS,typically coupled with chromatography),the complicated environmental matrix can be digitalized into“fullcomponent”data.A key step to discover emerging compounds is the prioritization of compounds from massive *** fingerprints,suspect lists and biological effects are the most vital untargeted strategies for comprehensively screening critical and hazardous ***,compressed data of compounds can be identified at various confidence levels according to exact mass and the derived molecular formula,MS libraries,and authentic *** an omics approach on full-component data provides a paradigm for discovering emerging air pollutants;nonetheless,new technological advancements of instruments and databases are warranted for further tracking the environmental behaviors,hence to evaluate the health risk of key pollutants.

关键词： Air pollution Emerging pollutants Full-component High-resolution mass spectrometry Omics approach

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Identification of Mixed Organic Pollutants in River Water Based on Graph Convolutional Networks

Identification of Mixed Organic Pollutants in River Water Ba...

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2024 China Automation Congress, CAC 2024

作者： Cao, Shuai Yu, Jie Fan, Xingyu Zhang, Qiuhao Xue, Fangjia Hou, Dibo State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (纸本)9798350368604

In the application of three-dimensional (3-D) fluorescence spectroscopy for river water pollutant detection, traditional feature extraction models often neglect wavelength information and complex intermolecular interrelationships. Moreover, experiments are frequently limited to single-substance classifications. This research addresses these limitations by proposing a novel model for organic pollutant recognition based on graph neural networks (GNNs). The proposed method begins by using the excitation-emission matrix and the wavelength information corresponding to each fluorescence intensity value as inputs. A convolutional neural network (CNN) is initially employed to extract preliminary features from the three-dimensional fluorescence spectra. Subsequently, the initial spectral features obtained during the pre-training stage are used to construct a graph neural network model. This model represents each category of organic pollutants as nodes within the graph, capturing the intrinsic connections between different pollution samples through node interactions. Finally, the model outputs a score vector for each category to classify the pollutants. To validate the proposed model, datasets comprising twelve common organic pollutants, both as single substances and mixtures, were collected. Comparative analysis with other methods demonstrates that the proposed approach achieves a high accuracy rate. ©2024 IEEE.

关键词： Graph neural networks

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Study on damage of reactive fragment impacting partially-filled fuel tank

Study on damage of reactive fragment impacting partially-fil...

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2022 International Symposium on Advanced Launch Technologies, ISALT 2022

作者： Xie, Jian-Wen Guo, Meng-Meng Liu, Cheng-Zhe Wang, Hai-Fu State Key Laboratory of Explosion Science and Technology School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China

The damage effect of PTFE/Al/W reactive fragment impacting partially-filled fuel tank is investigated by combining the ballistic gun experiment and theoretical analysis. The experimental results show that, with the impact velocity ranging from 806m/s to 1331m/s, the reactive fragments successfully perforate the front plate of fuel tank and cause the flash-ignition of fuel/air mixture, but the fuel tank does not fail obviously. Based on the experimental results, a temperature analysis model of reactive debris is developed by combining the energy release characteristic of reactive material and the convective heat transfer model. The model result shows that the high-temperature reactive debris can effectively ignite fuel/air mixture, which is in good agreement with the experimental results. © Published under licence by IOP Publishing Ltd.

关键词： Heat convection

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Layered metastructure containing freely-designed local resonators for wave attenuation

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Defence Technology（防务技术） 2024年第2期32卷 23-31页

作者： Yu Li Huguang He Jiang Feng Hailong Chen Fengnian Jin Hualin Fan State Key Laboratory for Disaster Prevention&Mitigation of Explosion&Impact Army Engineering University of PLANanjing 210007China Rocket Force University of Engineering Xi'an 710025China Henan International Joint Laboratory of Dynamics of Impact and Disaster of Engineering Structures Department of Civil EngineeringNanyang Institute of TechnologyNanyang 473004China Guangxi Key Laboratory of Disaster Prevention and Engineering Safety and Key Laboratory of Disaster Prevention and Structural Safety of Ministry of EducationCollege of Civil Engineering and ArchitectureGuangxi UniversityNanning 530004China Research Center of Lightweight Structures and Intelligent Manufacturing State Key Laboratory of Mechanics and Control of Mechanical StructuresNanjing University of Aeronautics and AstronauticsNanjing 210016China

Combining periodic layered structure with three-dimensional cylindrical local resonators,a hybrid metastructure with improved wave isolation ability was designed and investigated through theoretical and numerical *** metastructure is composed of periodic rubber layers and concrete layers embedded with three-dimensional resonators,which can be freely designed with multi local resonant frequencies to attenuate vibrations at required frequencies and widen the attenuation *** metastructure can also effectively attenuate seismic *** with layered rubber-based structures,the metastructure has more excellent wave attenuation effects with greater attenuation and wider bandgap.

关键词： Layered metastructure Local resonator Wave attenuation

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Borophene-ZnO heterostructures:Preparation and application as broadband photonic nonvolatile memory

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Nano Research 2023年第4期16卷 5826-5833页

作者： Runsheng Liu Chuang Hou Xinchao Liang Zitong Wu Guoan Tai The State Key Laboratory of Mechanics and Control of Mechanical Structures and Laboratory of Intelligent Nano Materials and Devices of Ministry of Education College of Aerospace EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China

High-performance photonic nonvolatile memory which combines data storage and photosensing can achieve low power consumption and ensure computational energy *** has been theoretically and experimentally proved to have synergistic effects between two materials,which can lead to promising electronic and optical properties for advanced optoelectronic ***,we report the preparation of borophene-ZnO heterostructures and their applications of broadband photonic nonvolatile *** memory shows a good switching ratio(5×10^(3))and long-term stability(3,600 s),which are superior to those of the pristine borophene or ZnO quantum dots(QDs).It is found that the memory shows a broad light response from ultraviolet(365 nm)to near infrared(850 nm).Besides,the SET voltage will decrease when the device is exposed to light,which can be attributed to the separation of holes and electrons in accelerating the formation of vacancy conductive *** work not only provides a promising material for next-generation photoelectric information,but also paves the way for borophene-based memory towards data storage devices.

关键词： borophene ZnO heterostructure photoluminescence(PL)quenching nonvolatile memory light control

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Fabrication of Micro/Nanostructured Copper Fibers by Vibration Cutting for Felt-Based Freshwater Purification

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纳米制造与计量（英文） 2024年第4期7卷 1-14页

作者： Kaiyue Wu Jianfu Zhang Zhongpeng Zheng Zhiwei Li Peiyuan Ding Jiahui Liu Jianjian Wang State Key Laboratory of Tribology in Advanced Equipment Department of Mechanical EngineeringTsinghua UniversityBeijing 100084China Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipments and Control Department of Mechanical EngineeringTsinghua UniversityBeijing 100084China

Freshwater purification from wasted water and seawater is crucial in addressing the global problem of water *** fiber felt with a micro/nanostructure emerges as an efficient approach for water purification;however,its production usually relies on chemical postprocessing to create micro/nano structures on the fiber surface,which might pollute the *** study proposed an ecofriendly method to produce micro/nanostructured copper fiber felt without chemical ***,a new transverse-feeding vibration cutting is proposed to fabricate micro/nanostructured fibers with controllable struc-ture *** the sintering of the structured fibers without postprocessing,the fiber felt can be produced in an ecofriendly way and exhibit special wettability and excellent photothermal ***-based freshwater purification,including oil-water separation and solar-driven seawater desalination,can be realized *** show an oil-water separation efficiency of＞90％and a high evaporation rate of water of＞1.08 kg m-2 h-1 at 73 mW cm-2 are achieved,dem-onstrating the application prospect of the produced fiber felt.

关键词： Microstructured fiber Vibration cutting Felt-based water purification Oil-water separation Seawater desalination

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Titanium dioxide E171 consumption exacerbates Listeria monocytogenes infection in mice

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Food Quality and Safety 2024年第1期8卷 68-80页

作者：滕跃王瑷琳赵东云李国鹏刘泷泽邹悦夏效东 State Key Laboratory of Marine Food Processing and Safety Control National Engineering Research Center of SeafoodSchool of Food Science and TechnologyDalian Polytechnic UniversityDalianChina

The food additive titanium dioxide is commonly utilized to enhance the appearance and flavor of food ***,this substance has been linked to gastrointestinal *** aim of this study was to investigate the impact of dietary exposure of titanium dioxide E171 on Listeria monocytogenes infection in *** were mainly divided into the control,LM group(*** infection),and E171+LM groups(E171 supplementation before *** infection).Pre-exposure to E171 resulted in increased bacterial counts in the liver,spleen,ileum,colon,mesenteric lymph nodes,and feces of mice after *** ***,E171 exposure increased the levels of pro-inflammatory cytokines while attenuating the levels of anti-inflammatory cytokines in mice infected with ***,mice in the E171+LM group exhibited considerably more severe colonic inflammation and worse intestinal barrier function than mice in the LM *** 16S rRNA gene sequencing revealed a shift in the composition of the gut microbiota of mice in the E171+LM group,characterized by a decrease in the relative abundance of Firmicutes and a decrease in the Firmicutes-to-Bacteroidetes *** levels of acetate,butyrate,and isobutyrate were markedly decreased within the cecum of mice in the E171+LM group in comparison to mice in the LM *** conclusion,these results suggest that E171 exposure could exacerbate *** infection in mice,which may provide useful information for future risk assessment of this commonly used food additive.

关键词： E171 L.monocytogenes intestinal barrier function inflammatory responses gut microbiota.

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