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SSRN 2023年

作者： Wang, Jingyi Deng, Zhaoju Xu, Chuang Han, Bo Cao, Zhijun Kastelic, John Xiong, Yindi Yang, Jingyue Zhu, Chunyan Gao, Jian Department of Clinical Veterinary Medicine College of Veterinary Medicine China Agricultural University Yuanmingyuan West Road Beijing100193 China State Key Laboratory of Animal Nutrition Beijing Engineering Technology Research Center of Raw Milk Quality and Safety Control College of Animal Science and Technology China Agricultural University Beijing100193 China Faculty of Veterinary Medicine University of Calgary CalgaryABT2N 4N1 Canada Agri-Products Quality and Safety Testing Center of Shanghai No. 28 Ln 1528 Xinfu Zhonglu Rd Huaxin Town Qinpu District Shanghai China

The main indications for antibiotic use on dairy farms are mastitis. Recycled manure solids (RMS) are common bedding material for dairy cattle. The objective was to determine whether antibiotic use for mastitis, either short-term (treatment of clinical cases) or long-term (dry cow therapy) affected the microbiome and resistome in manure and RMS bedding. On a large-scale Chinese dairy farm with conventional administration of antibiotics, samples of cow manure and RMS bedding in 3 groups of cattle were analyzed in-depth with metagenomics. Antimicrobial resistance genes (ARGs) accounted for only 0.5% of the total gene content in manure but were 2.2% in RMS bedding. Cows with short-term antibiotic treatment had the most (n=96) unique antibiotic resistance ontologies whereas long-term antibiotic usage significantly increased the ARGs Shannon index in manure. After usage, the relative abundance of β-lactam, pleuromutilin, phenicol, and aminocoumarin genes in bedding increased significantly. Firmicutes, Actinobacteria, Proteobacteria, and Bacteroidetes were predominant in manure and RMS bedding and were closely associated with ARGs. In addition, mupirocin resistance gene (mupA) was significantly increased. This work implicated bedding material as a potential source of ARGs on dairy farms and highlighted the potential for zoonotic transmission of ARGs from the dairy farm environment to humans. © 2023, The Authors. All rights reserved.

关键词： Manures

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Study on the Wet Oxidation of an Industrial High Concentration Caprolactam Organic Wastewater

Study on the Wet Oxidation of an Industrial High Concentrati...

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2019 International Conference on Oil and Gas Engineering and Geological Sciences, OGEGS 2019

作者： Guo, Pengfei Wang, Li Zeng, Xu Yao, Guodong Zhou, Yangyuan Zhao, Jianfu College of Environmental Science and Engineering State Key Laboratory of Pollution Control and Resources Reuse Tongji University Shanghai China Shanghai Institute of Measurement and Testing Technology Shanghai China

In this study, wet oxidation of an industrial high concentration caprolactam organic wastewater using oxygen gas as an oxidant was investigated. Different experiments were conducted to discuss the effects of the reaction temperature, time, the initial oxygen pressure and dilution ration of raw wastewater, using a batch reactor with COD removal rate as a standard for assessing. Results show that the highest removal rate of COD, 76.6%, was obtained at 250 °C for 30 min with the oxygen pressure 1.7 MPa and dilution ration 10. The biodegradability of the wastewater improved greatly after the wet oxidation process. These results illustrated that wet oxidation with oxygen gas as an oxidant displayed effectively for the pretreatment of high concentration caprolactam organic wastewater. © 2019 IOP Publishing Ltd.

关键词： Oxidants

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Organophosphate esters and their transformation products in megacity atmospheres: Size-dependent gas-particle partitioning and transformation potential

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Journal of hazardous materials 2025年 494卷 138708页

作者： Chun-Xue Tang Min-Qi Tang Chen-Chou Wu Cheng Li Ming-Hong Cai Lian-Jun Bao Eddy Y Zeng Guangdong Key Laboratory of Environmental Pollution and Health Jinan University Guangzhou 511443 China. Institute of Quality Standard and Testing Technology Beijing Academy of Agriculture and Forestry Sciences Beijing 100097 China. Ministry of Natural Resources Key Laboratory for Polar Science Polar Research Institute of China Shanghai 200136 China School of Oceanography Shanghai Jiao Tong University Shanghai 200030 China. Guangdong Key Laboratory of Environmental Pollution and Health Jinan University Guangzhou 511443 China. Electronic address: baolianjun@***. Key Laboratory of Pollution Control and Ecosystem Restoration in Industry Clusters (Ministry of Education) School of Environment and Energy South China University of Technology Guangzhou 510006 China.

The size-dependent gas-particle partitioning of transformation products (TPs) from organophosphate esters (OPEs) and the transform potential for OPEs to TPs in ambient atmosphere remain under-investigated. To fill this knowledge gap, we analyzed gaseous and size-fractionated particle samples collected from Beijing, shanghai, and Guangzhou in China under different meteorological conditions. The concentrations of OPEs were comparable to those in other major cities worldwide, but the levels of TPs were lower than those in these cities. The Li-Ma-Yang model predicted well the size-fractionated gas-particle partition coefficients (K) of OPEs and TPs with log K > 9.1. Multiple linear regression model incorporating relative humidity narrowed the gap between predicted and observed K of OPEs with log K < 9.1, but still underestimated the K values. Hence, humidity-dependent water film adsorption and transformation of these OPEs should be included in future gas-particle partition modeling, especially in fine particles. Size distributions in concentration ratios of nine pairs of OPE to TP were not unified. Temperature exhibited negative effects on gas-particle partitioning of TPs, and inhibited the transformation of tris(2-chloropropyl) phosphate (TCIPP) to bis(1-chloro-2-propyl) phosphate (BCIPP) and triphenyl phosphate (TPhP) to 4-hydroxyphenyl diphenyl phosphate (4-OH-DPHP) in the particulate phase. Gaseous TPs contributed more to the human inhalation health risks of OPEs than particle-bound TPs. These findings are significant for comprehending the fate of atmospheric TPs in urban environment. ENVIRONMENTAL IMPLICATION: Transformation products (TPs) of organophosphate esters (OPEs) exhibit comparable or even enhanced toxicity relative to OPEs, but their atmospheric behavior remains incompletely understood. In the present study, gaseous and size-fractionated particulate samples were collected in Beijing, shanghai, and Guangzhou to explore the gas-particle partitioning behavio

关键词： Ambient air Human health risk Organophosphate diester Size-fractionated ratio Transformation product

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Hydration mechanism and mechanical properties of slag-phosphogypsum solid waste-based cementitious composite incorporated silica fume

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Construction and Building Materials 2025年 485卷

作者： Ma, Binhui Li, Yuqi Lan, Tian Huang, Bo Chen, Jiasen Peng, Quan Du, Bicheng Ma, Minglei School of Civil Engineering Hunan University of Science and Technology Xiangtan411201 China National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment Changsha410114 China Hunan Provincial Key Laboratory of Geotechnical Engineering Stability Control and Health Monitoring Xiangtan411201 China Engineering Research Institute China Construction Eighth Engineering Division Corp Ltd Shanghai200000 China Engineering Testing Center Hunan University of Science and Technology Xiangtan411201 China

A new solid waste-based cementitious composite was proposed in this study. Silica fume was incorporated based on the determination of the optimal mixing ratios of granulated blast furnace slag, phosphogypsum and carbide slag to further improve their material properties. Analysis of the strength and material characterization test results revealed that the addition of silica fume led to increased paste viscosity and reduced system alkalinity. These changes hindered the dispersion of precursor particles and decreased the formation of hydration products, collectively resulting in diminished early-age strength of the cured paste system. However, silica fume consumed excess carbide slag, preventing deterioration of hydration products as well as the precipitation and structural alterations of calcium hydroxide crystals, and avoiding the resultant late-stage strength decline. And because the silica fume fills the internal pores while providing additional nucleation sites for the hydration products, the internal structure of the hardened paste became denser, the hydrated gel is tightly connected to the ettringite, and the number of microcracks and harmful pores was significantly reduced, so that it has a higher late-stage strength. The maximum strength of 28d can reach 57.7 MPa. This solid waste-based cementitious composite does not require a chemical activator and high-temperature curing, which can effectively reduce energy consumption and carbon emissions, be conducive to the green development of the construction industry, and promote the recycling of solid waste. © 2025 Elsevier Ltd

关键词： Debris

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Phase-based testability analysis of multi-function integrated RF system using generalized stochastic Petri net

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Expert Systems with Applications 2025年 284卷

作者： Zhang, Chao Cui, Changkai Zhou, Dingyu Dong, Zhijie He, Shilie Zhou, Zhenwei Department of Integrated Technology and Control Engineering School of Aeronautics Northwestern Polytechnical University Xi'an710072 China National Key Laboratory of Aircraft Design Xi'an710072 China School of Civil Aeronautics Northwestern Polytechnical University Xi'an710072 China Shanghai Civil Aviation Control and Navigation System Co. Ltd Shanghai201100 China The 6th Research Institute of China Electronics Corporation Beijing102209 China China Electronic Product Reliability and Environmental Testing Institute Guangzhou510610 China

Multi-Function Integrated RF System (MIRFS) is a crucial part of an aircraft's airborne systems. Unlike disposable equipment such as missiles and torpedoes, MIRFS has to face two different operating environments, ground and air, during a mission cycle. In these two operating environments, the test equipment and data processing methods are different. These differences bring problems with test information not being fully utilized and testability indexes not being accurately calculated. Traditional testability modelling and analysis method cannot deal with the above problems. In this paper, a phase-based testability modelling and analysis method using generalized stochastic Petri net (GSPN) is proposed to fully use test information and determinate accurate testability indexes. Firstly, depending on the operating environment, two phases which are readiness phase and flight combat phase are designed to build separate testability models. Secondly, since static modelling techniques like UML and SysML lack the ability to dynamically evaluate and analyse system, GSPN is used to model the testability of each phase to better describe the MIRFS state and behavior. Then the testability models for each phase are integrated and optimised into the mission cycle GSPN testability model, which contains fully test information. The integration principle involves linking testability models according to the mission cycle sequence, including time synchronization, fault detection synchronization, and maintenance synchronization. Finally, Markov chain is used to solve the mission cycle GSPN model and obtain the precise testability indexes. The testability indexes obtained effectively enhances the testability of the MIRFS. This method can also be used when there are more phases of the mission. © 2025 Elsevier Ltd

关键词： Data integration

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Deep learning to evaluate seismic-induced soil liquefaction and modified transfer learning between various data sources

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Underground Space 2025年

作者： Hongwei Guo Chao Zhang Hongyuan Fang Timon Rabczuk Xiaoying Zhuang Department of Geotechnical Engineering College of Civil Engineering Tongji University Shanghai 200092 China Key Laboratory of Urban Security and Disaster Engineering Ministry of Education Beijing University of Technology Beijing 100124 China School of Water Conservancy and Transportation/Yellow River Laboratory/Underground Engineering Research Institute Zhengzhou University Zhengzhou 450001 China National Local Joint Engineering Laboratory of Major Infrastructure Testing and Rehabilitation Technology Zhengzhou 450001 China Collaborative Innovation Center for Disaster Prevention and Control of Underground Engineering Jointly Built by Provinces and Ministries Zhengzhou 450001 China Institute of Structural Mechanics Bauhaus University Weimar Weimar 99425 Germany Chair of Computational Science and Simulation Technology Faculty of Mathematics and Physics Leibniz University Hannover Hannover 30167 Germany

Soil liquefaction assessment remains a crucial and complex challenge in seismic geotechnical engineering due to various liquefaction records and limited information, which entails a more generalized off-the-shelf model that can achieve favourable performance on different data sources. In this work, a deep learning model is built and investigated on the soil liquefaction prediction and a modified transfer learning scheme between different data sources is presented. Various datasets, including shear wave velocity-based, CPT-based, SPT-based, and real cases, are collected and utilized to verify the effectiveness and accuracy of the proposed model. Because different data sources in soil liquefaction generally share several geotechnical and mechanical parameters, we work to combine model prior information, feature mapping and data reconstruction in transfer learning models to tackle multi-source domain adaption, which can be further applied to other predictive analysis and facilitate online learning models in geotechnical engineering. Also, the deep learning model is compared with several classical machine learning and ensemble learning models and the modified transfer learning model is formulated by comparing different feature transformation techniques integrated with various feature-based and instance-based transfer learning methods. The accuracy and effectiveness of the deep learning and modified transfer learning models have been validated in the numerical study.

关键词： Liquefaction Prediction Deep learning Ensemble methods Transfer learning Feature-based Instance-based Source data Target data Deep autoencoder Variational autoencoder

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Deciphering the preservative effects of protamine from Xinjiang Coregonus peled on grass carp (Ctenopharyngodon idellus) fillets during refrigerated storage: a perspective from the microbiome

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International journal of food microbiology 2025年 440卷 111222页

作者： Rong Zhang Yanan Gao Xiaoji Fan Song Zhu Tingzhang Wang Lili Gao Xueqin Zhao Zhuang Ma Yiling Fan Dan Jiang Shuyan Liu Institute of Food Science and Technology Chinese Academy of Agricultural Sciences Beijing 100193 People's Republic of China Institute of Western Agriculture the Chinese Academy of Agricultural Sciences/Xinjiang Engineering Technology Research Center for Exploration and Quality Evaluation of Characteristic Agricultural and Livestock Product Resources Changji 831100 People's Republic of China. Institute of Food Science and Technology Chinese Academy of Agricultural Sciences Beijing 100193 People's Republic of China. Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province Hangzhou 310012 People's Republic of China. College of Food Science and Engineering Dalian Ocean University Dalian 116023 People's Republic of China. Xinjiang Saihu Fishery Technology Develop. Co. Ltd Bortala Mongolian Autonomous Prefecture 833400 People's Republic of China. National Medical Products Administration Key Laboratory for Testing Technology of Pharmaceutical Microbiology Shanghai Quality Inspection and Testing Center for Innovative Biological Products Shanghai Institute for Food and Drug Control Shanghai 201203 People's Republic of China. Electronic address: tcfyl@***. College of Food Science and Engineering Dalian Ocean University Dalian 116023 People's Republic of China. Electronic address: jiangdan66@***. Zibo Institute for Digital Agriculture and Rural Research Zibo 255000 People's Republic of China. Electronic address: liushuyan@***.

Protamine is a natural cationic peptide which has been utilized as a food preservative, since its antibacterial capability against a wide range of Gram-negative and -positive bacteria. Despite the antibacterial mechanism has been well uncovered, its role in complex food microbial communities is largely elusive. In the present study, grass carp (Ctenopharyngodon idellus) fillets were treated with protamine and a protamine-based compound preservative, and stored at 4 °C for 15 days. The pH, total viable count (TVC), and total volatile base nitrogen (TVB-N) were monitored during the refrigerated storage, as well as the bacterial communities by 16S rRNA amplicon sequencing. Protamine, especially the protamine compound preservative, reduced the pH, TVC and TVB-N during the storage, and prolonged the shelf life of fish fillets. Bacterial communities on fillets during the refrigerated storage challenged by protamine and its compound preservative significantly differed from that in control. Prevalent genera including Aeromonas, Pseudomonas, and Myroides were significantly altered by protamine treatment. A group of 18 genera were closely associated with the antibacterial activity of protamine. The fillets treated with protamine possessed a more complex and stable bacterial community. Our study depicted a dynamic alteration of bacterial communities during the refrigerated storage of fish fillets, and offered an insight into the understanding of the antibacterial mechanisms of protamine from a microbiota perspective.

关键词： Compound preservative Food preservative Grass carp Microbiome Protamine Refrigerated storage

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Calibration Method for Microwave Digestion System

Calibration Method for Microwave Digestion System

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2018 International Conference on Advanced Technologies in Energy, Environmental and Electrical Engineering (AT3E 2018)

作者： X C Mao T L Xiao J Gu Shanghai Institute of Measurement and Testing technology Key laboratory of online testing and control technology of Shanghai

The article describes the importance of microwave digestion system in many different scientific fields, and proposes a calibration method for lack of calibration specification in China. The method focuses on temperature, pressure and output power. It defines their measuring points, technical requirements. An experiment is carried out to calibrate the output power with its expanded measurement uncertainty. The calibration method can be referenced in daily calibration service of such apparatus.

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Investigations on a Three-dimensional Model of the Moving-coil linear Motor Applied in the Space-borne Micro Compressor

Investigations on a Three-dimensional Model of the Moving-co...

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2018 2nd International Conference on Aerospace technology, Communications and Energy Systems (ATCES 2018)

作者： Y B Zhao D Ding X C Mao Shanghai Institute of Measurement and Testing Technology Shanghai Key Laboratory of Online Test and Control Technology

In order to optimize the magnetic circuits of the linear motor applied in the spaceborne pulse tube cryocooler, a three-dimensional magnetostatic field model of the moving-coil linear motor in the micro compressor is established. The effects of several key dimensions on the distributions of the magnetic flux density inside the air gap are simulated and discussed by finite element method. The simulated results show that the magnetic flux density decreases with the increase of both width and thickness of air gap. According to the analysis, it will greatly facilitate the design, fabrication and future practical applications of the micro movingcoil linear compressor.

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Research on the Discharge Properties of the Direct Carbon Fuel Cell with a Molten Metal Anode

Research on the Discharge Properties of the Direct Carbon Fu...

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2018 International Conference on Advanced Technologies in Energy, Environmental and Electrical Engineering (AT3E 2018)

作者： Y B Zhao T L Xiao D Ding Shanghai Institute of Measurement and Testing Technology Shanghai Key laboratory of Online Test and Control Technology

In order to research the discharge properties of the direct carbon fuel cell(DCFC) with a molten metal anode, the experimental system with a reactor is designed and constructed. The reaction mechanisms at both anode and cathode are analyzed. The molten Sn and Sb are used as the anodic material for comparison. The cell performance of DCFC is tested before and after discharging in the battery mode and the carbon fuel mode, respectively. In the battery mode, due to the different states of metallic oxides, the current density is not degraded after discharging with the molten Sb anode, but sharply decreases with the molten Sn anode. On the contrary, the cell performance with Sb is much worse than that with Sn after discharging in the carbon fuel mode, which is result from the volatility of Sb together with the reduction of its oxide. The above studies will help to thoroughly understand the underlying mechanism of DCFC with a molten metal anode.

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