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Biological Renewable Cellulose-Templated Zn_1-XCu_XO/Ag₂O Nanocomposite Photocatalysts for the Degradation of Methylene Blue

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ACS Omega 2024年第12期9卷 13714-13727页

作者： Lemecho, Biruktait Ayele Andoshe, Dinsefa Mensur Gultom, Noto Susanto Abdullah, Hairus Kuo, Dong-Hau Chen, Xiaoyun Desissa, Temesgen D. Wondimageng, Demeke Tesfaye Wu, Yi-Nan Zelekew, Osman Ahmed Department of Materials Science and Engineering Adama Science and Technology University Adama 1888 Ethiopia Department of Materials Science and Engineering National Taiwan University of Science and Technology Taipei 10607 Taiwan College of Materials Engineering Fujian Agriculture and Forestry University Fuzhou 350002 China College of Environmental Science and Engineering State Key Laboratory of Pollution Control and Resource Reuse Tongji University 1239 Siping Rd. Shanghai 200092 China Shanghai Institute of Pollution Control and Ecological Security 1239 Siping Road Shanghai 200092 China

Herein, Cellulose-templated Zn1-XCuXO/Ag2O nanocomposites were prepared using biological renewable cellulose extracted from water hyacinth (Eichhornia crassipes). Cellulose-templated Cu-doped ZnO catalysts with differ... 详细信息

Herein, Cellulose-templated Zn_1-XCu_XO/Ag₂O nanocomposites were prepared using biological renewable cellulose extracted from water hyacinth (Eichhornia crassipes). Cellulose-templated Cu-doped ZnO catalysts with different amounts of Cu as the dopants (1, 2, 3, and 4%) were prepared and denoted CZ-1, CZ-2, CZ-3, and CZ-4, respectively, for simplicity. The prepared catalysts were tested for the degradation of methylene blue (MB), and 2% Cu-doped ZnO (CZ-2) showed the best catalytic performance (82%), while the pure ZnO, CZ-1, CZ-3, and CZ-4 catalysts exhibited MB dye degradation efficiencies of 54, 63, 65, and 60%, respectively. The best catalyst (CZ-2) was chosen to further improve the degradation efficiency. Different amounts of AgNO₃ (10, 15, 30, and 45 mg) were used for the deposition of Ag₂O on the surface of CZ-2 and denoted CZA-10, CZA-15, CZA-30, and CZA-45, respectively. Among the composite catalysts, CZA-15 showed remarkable degradation efficiency and degraded 94% of MB, while the CZA-10, CZA-30, and CZA-45 catalysts showed 90, 81, and 79% degradation efficiencies, respectively, under visible light within 100 min of irradiation. The enhanced catalytic performance could be due to the smaller particle size, the higher electron and hole separation and charge transfer efficiencies, and the lower agglomeration in the composite catalyst system. The results also demonstrated that the Cu-doped ZnO prepared with cellulose as a template, followed by the optimum amount of Ag₂O deposition, could have promising applications in the degradation of organic pollutants. © 2024 The Authors. Published by American Chemical Society.

关键词： Catalysts Cellulose Degradation Electromagnetic radiation Oxides

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Electrospun N-halamine/ZnO-based platform eradicates bacteria through multimodal antimicrobial mechanism of action

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Rare Metals 2023年第1期42卷 222-233页

作者： Hui-Hui Qu Cong Wang Yi-Xuan Guo Zi-Ying Zhao Long Qiao Jie-Bing Yang Hai-Xia Wu Quan-Shun Li Alideertu Dong College of Chemistry and Chemical Engineering Engineering Research Center of Dairy Quality and Safety Control TechnologyMinistry of EducationInner Mongolia UniversityHohhot010021China Center of Experimental Instrument School of Food Science and TechnologyDalian Polytechnic UniversityDalian116034China Key Laboratory for Molecular Enzymology and Engineering of Ministry of Education School of Life SciencesJilin UniversityChangchun130012China

The emergence and prevalence of antibiotic-resistant bacteria demands powerful antibacterial tactics to combat infectious *** combinational therapy based on synergistic hybrid antibacterial materials is a promising approach to realize effective sterilization through the rational integration of distinct bactericides into one compact *** this work,we constructed a microfiber-based antibacterial platform(PAM-Cl/ZnO MFs)by electrospinning N-halamine polymers(PAM-Cl)loaded with zinc oxide(ZnO)*** as-designed PAM-Cl/ZnO MFs inherited the intrinsic antibacterial effects of both PAM-Cl microfibers(PAM-Cl MFs)and ZnO microfibers(ZnO MFs),and the material exhibited enhanced synergistic antibacterial performance against Staphylococcus aureus(***)and Escherichia coli(***)in *** bactericidal effect was multimodal and included contact killing based on the N-Cl bond of N-halamine,multiple-release killing,such as reactive oxygen species(ROS)under light irritation,and Zn^(2+)and Cl^(+)acting as antibacterial ***,PAM-Cl/Zno MFs worked on inactivate bacteria even under harsh temperatures and atmospheric ***,PAM-Cl/ZnO MFs exhibited good biocompatibility and performed outstanding acceleration of wound healing with in vivo mouse skin defect models using *** work advances the design of antibacterial hybrid materials with the potency to eradicate bacteria in biological systems in multiple settings through the superiority of multimodal synergistic therapy.

关键词： N-halamine ZnO nanoparticles Electrospinning Synergistic antibacterial therapy Various scenarios

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Spatio-temporal characteristics of genotoxicity in the Yangtze River under the background of COVID-19 pandemic

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Frontiers of Environmental science & engineering 2024年第11期18卷 121-132页

作者： Xinge Wang Na Li Yingnan Han Xiao Li Weixiao Qi Jian Li Kaifeng Rao Zijian Wang Yanjie Wei Mei Ma Key Laboratory of Drinking Water Science and Technology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China State Key Laboratory of Environmental Aquatic Chemistry Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Yangtze Eco-Environment Engineering Research Center China Three Gorges CorporationBeijing 100038China National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery Beijing 100085China University of Chinese Academy of Sciences Beijing 100049China Center for Water and Ecology State Key Joint Laboratory of Environment Simulation and Pollution ControlSchool of EnvironmentTsinghua UniversityBeijing 100084China Engineering Research Center of Groundwater Pollution Control and Remediation Ministry of EducationCollege of Water SciencesBeijing Normal UniversityBeijing 100875China Key Laboratory of Environmental Protection in Water Transport Engineering Ministry of Communications Tianjin Research Institute of Water Transport EngineeringTianjin 300456China

The global spread of viruses can lead to the release of large amounts of disinfectants or antiviral drugs into the water *** resulting disinfection byproducts(DBPs)and residual antiviral drugs,acting as genotoxic substances or their precursors,may pose risks to aquatic animals and drinking water sources;however,to date,no studies have analyzed the changes in genotoxicity in the Yangtze River before and after the *** the present study,water and sediment samples from the Yangtze River were collected during different seasons,just before and after the outbreak of COVID-19,and were assessed using the SOS/umu test(with and without liver S9).The results indicated that water samples exhibited more pronounced genotoxicity than did sediments,with direct genotoxicity being the primary ***,there were significant regional differences,with notably greater genotoxicity observed in the upper Yangtze River than in the lower reaches before the COVID-19 ***,this trend was reversed six to ten months later,suggesting the accumulation of DBPs or antiviral drugs after the COVID-19 ***,the risk quotient indicated that 65%of the water samples posed a high risk for Paramecium caudatum,whereas 71%of the samples posed a medium risk for Danio rerio,thereby representing a potential threat to the ecological security of the Yangtze *** conclusion,this study,at the basin scale,revealed the impacts of COVID-19 on the Yangtze River,highlighting the need to prevent DBPs and pharmaceutical pollution during similar events in the future.

关键词： Yangtze River COVID-19 Genotoxicity Spatio-temporal characteristics

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Relation-Aware Facial Expression Recognition Using Contextual Residual Network with Attention Mechanism 17th

Relation-Aware Facial Expression Recognition Using Contextua...

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17th International Conference on Computer science and Education, ICCSE 2022

作者： Li, Xue Zhu, Chunhua Zhou, Fei Key Laboratory of Grain Information Processing and Control Ministry of Education Henan University of Technology Henan Zhengzhou China College of Information Science and Engineering Henan University of Technology Henan Zhengzhou China Henan Key Laboratory of Grain Photoelectric Detection and Control Henan University of Technology Henan Zhengzhou China

ISBN: (纸本)9789819924424

With the existence of occlusion or posture changes, facial expression recognition (FER) under uncontrolled conditions is difficult. To obtain a discriminative representation for challenging expression recognition, we present a relation-aware FER model, referred to attention-coordinated contextual residual network (ACRN), which contains a contextual residual network (CRNet) and attention module (AM). Firstly, multi-level features of facial expression are extracted by CRNet. There are some contextual convolution (CoConv) blocks in CRNet to integrate expression information in facial space;then, AM is embedded into each stage of CRNet to coordinate contextual information from CoConv blocks across the channel and spatial location, weighting multi-level expression features to differentiate their importance;finally, to highlight expression-related facial areas, the output of CRNet will be fed into AM, which can focus on salient features. The experiments on Affectnet-7 and RAF_DB datasets have shown that ACRN can both explore the interaction of facial information and capture subtle features related to expression, thus obtaining a better recognition performance. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Face recognition

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Optical techniques in non-destructive detection of wheat quality:A review

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Grain & Oil science and technology 2022年第1期5卷 44-57页

作者： Lei Li Si Chen Miaolei Deng Zhendong Gao Key Laboratory of Grain Information Processing and Control(Henan University of Technology) Ministry of EducationZhengzhou 450001China College of Information Science and Engineering Henan University of TechnologyZhengzhou 450001China

Wheat quality detection is essential to ensure the safety ofwheat circulation and *** traditional wheat quality detection methods mainly include artificial sensory evaluation and physicochemical index analysis,which are difficult to meet the requirements for high accuracy and efficiency in modern wheat quality detection due to the disadvantages of subjectivity,destruction of sample integrity and low *** the rapid development of optical technology,various optical-based methods,using near-infrared spectroscopy technology,hyperspectral imaging technology and terahertz,etc.,have been proposed for wheat quality *** methods have the characteristics of nondestructiveness and high efficiency which make them popular in wheat quality detection in recent *** this paper,various state-of-the-art optical-based techniques of wheat quality detection are analyzed and summarized in ***,the principle and process of common optical non-destructive detection methods for wheat quality are ***,the optical techniques used in these detection methods are divided into seven categories,and the comparison of these technologies and their advantages and disadvantages are further *** shows that terahertz technology is regarded as the most promising wheat quality detection method compared with other optical detection technologies,because it can not only detect most types of wheat deterioration,but also has higher accuracy and ***,the research of optical technology in wheat quality detection is *** future research of optical technology-based wheat quality detection mainly includes the construction of wheat quality optical detection standardization database,the fusion of multiple optical detection technologies and multiple quality index information,the improvement of the anti-interference of optical technology and the industrialization of optical inspection technology for wheat *** studies are of g

关键词： Wheat Quality Optical technology Non-destructive detection

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On the optimality of Kalman Filter for Fault Detection

arXiv

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arXiv 2023年

作者： Zhou, Jinming Zhu, Yucai State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China

Kalman filter is widely used for residual generation in fault detection. It leads to optimality in fault detection using some performance indices and also leads to statistically sound residual evaluation and threshold setting. This paper shows that these nice features do not necessarily imply an optimal fault detection performance. Based on a performance index related to fault detection rate and false alarm rate, several occasions where Kalman filter should not be used are pointed out;further the residual evaluation and threshold setting are discussed, in which it is pointed out that in stochastic setting an optimal statistical test of Kamlan filter is not related to optimality of commonly used detection performance indicators. The theoretical analysis is verified through Monte Carlo simulations and Tennessee Eastman process (TEP) dataset. Copyright © 2023, The Authors. All rights reserved.

关键词： Fault detection

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Grain Depot Wearable Device Detection Model Based on YOLOv5

Grain Depot Wearable Device Detection Model Based on YOLOv5

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2023 International Conference on Intelligent Management and Software engineering, IMSE 2023

作者： Wu, Jianjun Lian, Yimeng Wen, Qing Zhen, Tong Zhu, Yuhua Li, Zhihui College of Information Science and Engineering Henan University of Technology Zhengzhou450001 China Key Laboratory of Grain Information Processing and Control Henan University of Technology Zhengzhou450001 China

ISBN: (纸本)9798350394146

Standardized wearing of helmets and ventilators is the focus of grain depot safety management, which can effectively prevent safety accidents such as falling objects hurting people and fumigation poisoning. This paper is based on the deep learning algorithm to detect the wearing specifications of grain depot operations. Firstly, collect images by simulating the operation scene of the grain depot, recording video frames on the spot, etc. Use Labellmag software to mark the personnel wearing and not wearing the device, and create the original data set;Then, a grain depot wear standard monitoring model based on YOLOv5 is constructed. Add CBAM Attention to improve the network's attention to local and global features and the ability to extract small target location information. In the post-processing stage, DIOU-NMS is optimized as the screening scheme of the target boxes to reduce the rate of missed detection rate of adjacent targets. Through the contrast experiment, the results show that the improved model mAP(mean average precision) is increased from 92.6% to 93.9%, and finally the detection model meeting the detection accuracy and real-time requirements is obtained. ©2023 IEEE.

关键词： Object detection

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From Zero-Shot to Few-Shot Learning: A Step of Embedding-Aware Generative Models

arXiv

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arXiv 2023年

作者： Feng, Liangjun Zhao, Jiancheng Zhao, Chunhui State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China

Embedding-aware generative model (EAGM) addresses the data insufficiency problem for zero-shot learning (ZSL) by constructing a generator between semantic and visual embedding spaces. Thanks to the predefined benchmark and protocols, the number of proposed EAGMs for ZSL is increasing rapidly. We argue that it is time to take a step back and reconsider the embedding-aware generative paradigm. The purpose of this paper is three-fold. First, given the fact that the current embedding features in benchmark datasets are somehow out-of-date, we improve the performance of EAGMs for ZSL remarkably with embarrassedly simple modifications on the embedding features. This is an important contribution, since the results reveal that the embedding of EAGMs deserves more attention. Second, we compare and analyze a significant number of EAGMs in depth. Based on five benchmark datasets, we update the state-of-the-art results for ZSL and give a strong baseline for few-shot learning (FSL), including the classic unseen-class few-shot learning (UFSL) and the more challenging seen-class few-shot learning (SFSL). Finally, a comprehensive generative model repository, namely, generative any-shot learning (GASL) repository, is provided, which contains the models, features, parameters, and settings of EAGMs for ZSL and FSL. Any results in this paper can be readily reproduced with only one command line based on GASL. Copyright © 2023, The Authors. All rights reserved.

关键词： Zero-shot learning

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Research and Treatment of Abnormal Steam Generator Level control in Transient Test 6th

Research and Treatment of Abnormal Steam Generator Level Con...

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6th International Symposium on Software Reliability, industrial Safety, Cyber Security and Physical Protection of Nuclear Power Plant, ISNPP 2021

作者： Liu, Peng Song, Fei Che, Junxia Luan, Zhen-Hua Qiao, Jian-Feng Liu, Shuang -Jin State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment Guangdong Shenzhen518172 China College of Mechatronics and Control Engineering Shenzhen University Guangdong Shenzhen518000 China State Key Lab of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China

ISBN: (纸本)9789811911804

Steam generator level control is the most difficult control system in nuclear power plant. It is a typical nonlinear and large delay control system. It is affected by many factors, such as feed water flow, steam flow, feed water temperature, average temperature of primary circuit and so on. Over the years, nuclear power unit shutdown events caused by improper control of steam generator level are common. The abnormal level response occurred in the turbine trip without reactor trip test of a power plant, which was caused by the deviation of steam and feed water flow measurement and the accumulated deviation through calculation. This paper analyzes the influence of steam and feed water flow measurement deviation on the steam generator level control in detail, and gives the correction scheme, which has achieved good results after application. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Steam

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System identification with binary-valued observations under both denial-of-service attacks and data tampering attacks:the optimality of attack strategy

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control Theory and technology 2022年第1期20卷 127-138页

作者： Jin Guo Xuebin Wang Yanling Zhang Wenchao Xue Yanlong Zhao School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China Key Laboratory of Knowledge Automation for Industrial Processes Ministry of EducationBeijing100083China Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing100190China

With the development of wireless communication technology,cyber physical systems are applied in various fields such as industrial production and infrastructure,where lots of information exchange brings cyber security threats to the *** the perspective of system identification with binary-valued observations,we study the optimal attack problem when the system is subject to both denial of service attacks and data tampering *** packet loss rate and the data tampering rate caused by the attack is given,and the estimation error is *** the optimal attack strategy to maximize the identification error with the least energy is described as a min–max optimization problem with *** explicit expression of the optimal attack strategy is *** examples are presented to verify the effectiveness of the main conclusions.

关键词： System identification Binary-valued observations Denial-of-service attacks Data tampering attacks

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