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Enhanced metronidazole removal by binary-species photoelectrogenic biofilm of microaglae and anoxygenic phototrophic bacteria

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Journal of Environmental Sciences 2022年第5期34卷 25-36页

作者： Xubin Zhang Jian Sun Mengmeng Zhao Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control Guangdong Key Laboratory of Environmental Catalysis and Health Risk ControlSchool of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China

High efficient removal of antibiotics during nutriments recovery for biomass production poses a major technical challenge for photosynthetic microbial biofilm-based wastewater treatment since antibiotics are always co-exist with nutriments in wastewater and resist biodegradation due to their strong biotoxicity and recalcitrance.In this study,we make a first attempt to enhance metronidazole(MNZ)removal from wastewater using electrochemistry-activated binary-species photosynthetic biofilm of Rhodopseudomonas Palustris(R.Palustris)and Chlorella vulgaris(C.vulgaris)by cultivating them under different applied potentials.The results showed that application of external potentials of-0.3,0 and 0.2 V led to 11,33 and 26-fold acceleration in MNZ removal,respectively,as compared to that of potential free.The extent of enhancement in MNZ removal was positively correlated to the intensities of photosynthetic current produced under different externally applied potentials.The binary-species photoelectrogenic biofilm exhibited 18 and 6-fold higher MNZ removal rate than that of single-species of C.vulgaris and R.Palustris,respectively,due to the enhanced metabolic interaction between them.Application of an external potential of 0V significantly promoted the accumulation of tryptophan and tyrosine-like compounds as well as humic acid in ex-tracellular polymeric substance,whose concentrations were 7.4,7.1 and 2.0-fold higher than those produced at potential free,contributing to accelerated adsorption and reductive and photosensitive degradation of MNZ.

关键词： Photoelectrogenic biofilm Microalgae Anoxygenic phototrophic bacteria Photosynthetic current Antibiotic

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Control of 2-D Semi-Markov Jump Systems:A View from Mode Generation Mechanism

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 258-260页

作者： Yunzhe Men Jian Sun Jie Chen the National Key Laboratory of Autonomous Intelligent Unmanned Systems the School of AutomationBeijing Institute of TechnologyBeijing 100081 the Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China the Department of Control Science and Engineering Tongji UniversityShanghai 201804 the National Key Laboratory of Autonomous Intelligent Unmanned Systems Beijing Institute of TechnologyBeijing 100081China

Dear Editor,Two-dimensional(2-D) systems have wide applications in image data processing,gas absorption and fluid dynamics analysis [1]-[3].When there exist abrupt changes in 2-D systems,they are usually modeled by 2-D Markov jump systems(MJSs) or 2-D semi-Markov jump systems(SMJSs).This letter investigates the control of 2-D SMJSs based on a novel mode generation mechanism,which could avoid mode ambiguousness phenomenon caused by the evolution of system mode in two different directions.The criterion that guarantees the almost surely exponential stability of the system is obtained.A thermal process is studied to demonstrate the availability of the proposed method.

关键词： Markov mode system

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Residual-Based False Data Injection Attacks Against Multi-Sensor Estimation Systems

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IEEE/CAA Journal of Automatica Sinica 2023年第5期10卷 1181-1191页

作者： Haibin Guo Jian Sun Zhong-Hua Pang the National Key Laboratory of Autonomous Intelligent Unmanned Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China the Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China the Key Laboratory of Fieldbus Technology and Automation of Beijing North China University of TechnologyBeijing 100144China

This paper investigates the security issue of multisensor remote estimation systems.An optimal stealthy false data injection(FDI)attack scheme based on historical and current residuals,which only tampers with the measurement residuals of partial sensors due to limited attack resources,is proposed to maximally degrade system estimation performance.The attack stealthiness condition is given,and then the estimation error covariance in compromised state is derived to quantify the system performance under attack.The optimal attack strategy is obtained by solving several convex optimization problems which maximize the trace of the compromised estimation error covariance subject to the stealthiness condition.Moreover,due to the constraint of attack resources,the selection principle of the attacked sensor is provided to determine which sensor is attacked so as to hold the most impact on system performance.Finally,simulation results are presented to verify the theoretical analysis.

关键词： Cyber-physical systems(CPSs) false data injection(FDI)attacks remote state estimation stealthy attacks

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Latest advances in ionic liquids promoted synthesis and application of advanced biomass materials

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Frontiers of Chemical Science and Engineering 2023年第7期17卷 798-816页

作者： Ting He Jipeng Yan Wenzhe Xiao Jian Sun Key Laboratory of Molecular Medicine and Biotherapy in the Ministry of Industry and Information Technology School of Life ScienceBeijing Institute of TechnologyBeijing 100081China Beijing Engineering Research Center of Cellulose and Its Derivatives Advanced Research Institute of Multidisciplinary ScienceBeijing Institute of TechnologyBeijing 100081China

The utilization of sustainable resources provides a path to relieving the problem of dependence on fossil resources. In this context, biomass materials have become a feasible substitute for petroleum-based materials. The development of biomass materials is booming and advanced biomass materials with various functional properties are used in many fields including medicine, electrochemistry, and environmental science. In recent years, ionic liquids have been widely used in biomass pretreatments and processing owing to their “green” characteristics and adjustable physicochemical properties. Thus, the effects of ionic liquids in biomass materials generation require further study. This review summarizes the multiple roles of ionic liquids in promoting the synthesis and application of advanced biomass materials as solvents, structural components, and modifiers. Finally, a prospective approach is proposed for producing additional higher-quality possibilities between ionic liquids and advanced biomass materials.

关键词： biomass materials functional materials ionic liquids synthesis structure-property relationship

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Enhanced switching electric field and breakdown strength of epoxy composites with core-shell silicon carbide nanoparticles

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High Voltage 2023年第3期8卷 583-589页

作者： Yongsen Han Zi Wang Jian Sun Zhonghua Li Key Laboratory of Engineering Dielectrics and Its Application Ministry of EducationHarbin University of Science and TechnologyHarbinHeilongjiangChina

Silicon carbide(SiC)is widely used to improve the non-linear conductivity of non-linear resistive field grading composite.In this paper,the SiC nanoparticles are modified into core-shell nanoparticles with silica(SiO_(2))coating on the surface and are characterised by transmission electron microscopy and X-ray diffraction,respectively.The 7 wt%SiC@SiO_(2)/epoxy nanocomposite is then prepared,and the pure epoxy and 7 wt%SiC/epoxy nanocomposite are prepared as a contrast.The relative permittivity,thermally stimulated current,conductivity and breakdown strength are studied,respectively.The presence of SiO_(2)shell around SiC nanoparticles has a great effect on the relative permittivity and trap distribution.The epoxy nanocomposites show non-linear conductivity characteristics,compared with pure epoxy.The 7 wt%SiC@SiO_(2)/epoxy nanocomposite has higher switching electric field and breakdown strength than the 7 wt%SiC/epoxy nanocomposite,which is helpful for the application of non-linear resistive field grading composite in higher-voltage equipment or components.

关键词： nanoparticles composites composite

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Oscillating field stimulation promotes neurogenesis of neural stem cells through miR-124/Tal1 axis to repair spinal cord injury in rats

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Neural Regeneration Research 2023年第4期18卷 895-900页

作者： Chao Fang Jian Sun Jun Qian Cai-Liang Shen Department of Orthopedics&Spine Surgery The First Affiliated Hospital of Anhui Medical UniversityHefeiAnhui ProvinceChina Department of Orthopedics The Second Affiliated Hospital of Anhui Medical UniversityHefeiAnhui ProvinceChina

Spinal cord injury often leads to severe motor and sensory deficits,and prognosis using the currently available therapies remains poor.Therefore,we aimed to explore a novel therapeutic approach for improving the prognosis of spinal cord injury.In this study,we implanted oscillating field stimulation devices and transplanted neural stem cells into the thoracic region(T9–T10)of rats with a spinal cord contusion.Basso-Beattie-Bresnahan scoring revealed that oscillating field stimulation combined with neural stem cells transplantation promoted motor function recovery following spinal cord injury.In addition,we investigated the regulation of oscillating field stimulation on the miR-124/Tal1 axis in neural stem cells.Transfection of lentivirus was performed to investigate the role of Tal1 in neurogenesis of neural stem cells induced by oscillating field stimulation.Quantitative reverse transcription-polymerase chain reaction,immunofluorescence and western blotting showed that oscillating field stimulation promoted neurogenesis of neural stem cells in vitro and in vivo.Hematoxylin and eosin staining showed that oscillating field stimulation combined with neural stem cells transplantation alleviated cavities formation after spinal cord injury.Taking the results together,we concluded that oscillating field stimulation decreased miR-124 expression and increased Tal1 content,thereby promoting the neurogenesis of neural stem cells.The combination of oscillating field stimulation and neural stem cells transplantation improved neurogenesis,and thereby promoted structural and functional recovery after spinal cord injury.

关键词： miR-124 neural stem cell neurogenesis oscillating field stimulation recovery spinal cord injury Tal1 tissue repair transplantation

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Predicting protein subchloroplast locations:the 10th anniversary

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Frontiers of Computer Science 2021年第2期15卷 1-11页

作者： Jian Sun Pu-Feng DU College of Intelligence and Computing Tianjin UniversityTianjin300350China

Chloroplast is a type of subcellular organelle in green plants and algae.It is the main subcellular organelle for conducting photosynthetic process.The proteins,which localize within the chloroplast,are responsible for the photosynthetic process at molecular level.The chloroplast can be further divided into several compartments.Proteins in different compartments are related to different steps in the photosynthetic process.Since the molecular function of a protein is highly correlated to the exact cellular localization,pinpointing the subchloroplast location of a chloroplast protein is an important step towards the understanding of its role in the photosynthetic process.Experimental process for determining protein subchloroplast location is always costly and time consuming.Therefore,computational approaches were developed to predict the protein subchloroplast locations from the primary sequences.Over the last decades,more than a dozen studies have tried to predict protein subchloroplast locations with machine learning methods.Various sequence features and various machine learning algorithms have been introduced in this research topic.In this review,we collected the comprehensive information of all existing studies regarding the prediction of protein subchloroplast locations.We compare these studies in the aspects of benchmarking datasets,sequence features,machine learning algorithms,predictive performances,and the implementation availability.We summarized the progress and current status in this special research topic.We also try to figure out the most possible future works in predicting protein subchloroplast locations.We hope this review not only list all existing works,but also serve the readers as a useful resource for quickly grasping the big picture of this research topic.We also hope this review work can be a starting point of future methodology studies regarding the prediction of protein subchloroplast locations.

关键词： subchloroplast locations sequence features performance measures online services machine learning

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Composite Anti-Disturbance Control of Hidden Semi-Markov Jump Systems via Disturbance Observer

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Journal of Systems Science & Complexity 2023年第6期36卷 2255-2273页

作者： MEN Yunzhe sun jian National Key Lab of Autonomous Intelligent Unmanned Systems School of AutomationBeijing Institute of TechnologyBeijing100081China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120China

This paper focuses on the disturbance suppression issue of hidden semi-Markov jump systems leveraging composite control.The system consists of a semi-Markov layer and an observed mode sequence layer,and it is subject to a matched disturbance generated by an exogenous system and a mismatched disturbance that is norm bounded.The proposal is to design a composite controller based on a disturbance observer to counteract and attenuate the disturbances effectively.By constructing a special Lyapunov function comparison point,the exponential stability is analyzed with the stability criterion in the form of linear matrix inequality is established.Two simulation examples are provided to demonstrate the practical merits of the composite controller relative to the single H_(∞)control.

关键词： Composite control disturbance observer ε-error hidden semi-Markov jump systems

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Data Center Power System Stability-Part I: Power Supply Impedance Modeling

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CSEE Journal of Power and Energy Systems 2022年第2期8卷 403-419页

作者： Jian Sun Mingchun Xu Mauricio Cespedes Mike Kauffman Rensselaer Polytechnic Institute-ECSE 1108th Street Room CII 8015Troy 12180United States Meta Platforms Inc. 1601 Willow RdMenlo ParkCalifornia 94025-1452United States

This two-part paper presents methods to predict,characterize and ensure the stability of data center power systems based on impedance analysis.The work was motivated by recent power system resonance incidents in new data centers.Part I presents new input impedance models for single-phase power supply units(PSUs)to enable this application.Existing impedance models of single-phase PSU cannot meet the requirements of this application because they exclude DC voltage control that affects system stability at low frequency,or are in a dq reference frame that cannot handle the complexity of data center power systems.The developed new models include DC bus dynamics and are directly in the phase domain to simplify system stability analysis,avoiding the need for multiple-input-multiple-output(MIMO)system models and the generalized Nyquist criterion that are difficult to apply but necessary with dq-frame models.Both the converter and system level models also include the coupled current response that is characteristic of AC-DC converters and important for system stability at low frequency.The simple form of the models and system stability analysis directly in the phase domain also make it possible to develop new PSU design methods and performance specifications that together will ensure the stability of new data center power systems.The developed models are validated by laboratory measurements and are used in Part II of the work to study data center power system stability.

关键词： Data center power systems frequency-domain methods impedance modeling system stability system resonance

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Deep reinforcement learning for optimal denial-of-service attacks scheduling

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Science China(Information Sciences) 2022年第6期65卷 98-106页

作者： Fangyuan HOU Jian Sun Qiuling YANG Zhonghua PANG State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Key Laboratory of Fieldbus Technology and Automation of Beijing North China University of Technology

We consider an optimal denial-of-service(DoS) attack scheduling problem of N independent linear time-invariant processes, where sensors have limited computational capability. Sensors transmit measurements to the remote estimator via a communication channel that is exposed to DoS attackers. However,due to limited energy, an attacker can only attack a subset of sensors at each time step. To maximally degrade the estimation performance, a DoS attacker needs to determine which sensors to attack at each time step. In this context, a deep reinforcement learning(DRL) algorithm, which combines Q-learning with a deep neural network, is introduced to solve the Markov decision process(MDP). The DoS attack scheduling optimization problem is formulated as an MDP that is solved by the DRL algorithm. A numerical example is provided to illustrate the efficiency of the optimal DoS attack scheduling scheme using the DRL algorithm.

关键词： optimal denial-of-service attack scheduling optimization limited energy deep reinforcement learning

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