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Effects of helium massive gas injection level on disruption mitigation on EAST

Plasma Science and technology 2021年第7期23卷 31-38页

作者： Abdullah ZAFAR Ping ZHU Ahmad ALI Shiyong ZENG Haolong LI CAS Key Laboratory of Geospace Environment and Department of Engineering and Applied Physics University of Science and Technology of ChinaHefei 230026Peopleʼs Republic of China International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics State Key Laboratory of Advanced Electromagnetic Engineering and TechnologySchool of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074Peopleʼs Republic of China Department of Engineering Physics University of Wisconsin-MadisonMadisonWI 53706United States of America Pakistan Tokamak Plasma Research Institute Islamabad 3329Pakistan Department of Plasma Physics and Fusion Engineering University of Science and Technology of ChinaHefei 230026People’s Republic of China

In this study,NIMROD simulations are performed to investigate the effects of massive helium gas injection level on the induced disruption on EAST *** is demonstrated in simulations that two different scenarios of plasma cooling(complete cooling and partial cooling)take place for different amounts of injected *** the impurity injection above a critical level,a single MHD activity is able to induce a complete core temperature *** impurity injection below the critical level,a series of multiple minor disruptions occur before the complete thermal quench.

关键词： massive gas injection MHD instabilities major disruption minor disruption

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Numerical Simulation and Thermal Efficiency Analysis of Top Combustion Hot Reduction Gas Stove Based on Computational Fluid Dynamics

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Steel Research International 2025年

作者： Zhang, Jianliang He, Xiaoxia Xu, Runsheng Zhou, Heng Zhu, Jinfeng Ye, Lian Dang, Han School of Metallurgical and Ecological Engineering University of Science and Technology Beijing Beijing100083 China Beijing Zhonggang Equipment Company Sinosteel Group Corporation Limited Beijing100080 China State Key Laboratory of Advanced Metallurgy University of Science and Technology Beijing Beijing100083 China

To boost low-carbon emission cuts in the steel industry, China has proposed the HyCROF smelting process. This article combines computational fluid dynamics, and the numerical simulation of the top combustion hot reduction gas stove is carried out. The results show that Case 3 is more favorable for combustion gas and air mixing and flue gas distribution. Case 3 combustion gas has the highest total CO and H2 content and has the largest value of maximum temperature in the stove, 2106.344 K. Case 2 has the largest effective thermal region and higher temperatures for the overall gas-supply period. The effective gas supply period for Case 2 and Case 3 is nearly identical, while Case 1 has the shortest effective gas supply period of 2945 s. Through numerical simulations under single-factor variable conditions, it has been determined that appropriately augmenting the energy density and flow velocity of combustion gas while decreasing the flow velocity of decarbonized gas can extend the air supply duration and enhance the efficiency of the hot reduction gas stove. © 2025 Wiley-VCH GmbH.

关键词： Low carbon steel

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Photothermal Antibacterial Mos2 Composited Chitosan Hydrogel for Infectious Wound Healing

SSRN

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SSRN 2023年

作者： Wang, Yue Liu, Kun Huang, Kai Huang, Ye Dai, Honglian State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Biomedical Materials and Engineering Research Center of Hubei Province Wuhan University of Technology Wuhan430070 China Foshan Xianhu Laboratory The Advanced Energy Science and Technology Guangdong Laboratory Xianhu Hydrogen Valley Foshan528200 China

Pathological bacterial infection poses a serious threat to public health security. The excessive use of antibiotics has resulted in a serious decline in treatment effect and bacterial resistance. For the treatment of infected wounds, we compounded dopamine-assisted exfoliated molybdenum disulfide (MoS2@PDA) into lipoic acid modified chitosan (LAMC) to obtain a composite hydrogel dressing (LAMC-MoS2@PDA). LAMC-MoS2@PDA hydrogels exhibited excellent photothermal conversion ability and the LAMC-MoS2@PDA2 group has a photothermal conversion efficiency of 26.29%. Meanwhile, they showed good biocompatibility and ROS scavenging activity in vitro. Photothermal therapy usually utilizes photothermal agents to convert near-infrared light into heat energy, which is conducive to destroying bacterial cell membranes, leading to the inactivation of bacterial proteins. After simulated by the near-infrared light, the antibacterial ratio of LAMC-MoS2@PDA hydrogels against Escherichia coli and Staphylococcus aureus reached nearly 100%, and the morphology of the bacteria showed obvious contraction and cleavage. The hydrogels also showed an excellent antibacterial effect and wound healing promotion in the infected wound of rats. In particular, the LAMC-MoS2@PDA2 (+) group showed an almost complete wound closure after 14 days, indicating that the LAMC-MoS2@PDA hydrogels have great potential in clinic anti-infected treatment. © 2023, The Authors. All rights reserved.

关键词： Chitosan

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Loss and Vibration Analysis of Flywheel Energy Storage Motor for UPS System

Loss and Vibration Analysis of Flywheel Energy Storage Motor...

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Electrical engineering (CIYCEE), IEEE China International Youth Conference on

作者： Kexin Yao Caiyong Ye Yi Liu Mohan Yang Yunfeng Zhao State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China School of Electrical and Information Engineering Tianjin University Tianjin China National Center for Quality Inspection and Test of Motors Jingxian China

ISBN: (数字)9798331530174

ISBN: (纸本)9798331530181

When the flywheel energy storage motor for UPS system is running at high speed through standby, its motor loss and electromagnetic vibration will increase. In order to improve system reliability, the motor structure needs to be reasonably designed. This paper firstly analyses the working state of flywheel energy storage motor for UPS system. Secondly, the theoretical basis of loss calculation and electromagnetic vibration is summarized in detail. In addition, the influence of structural parameters such as air gap length on stator iron loss and the influence of structural parameters such as stator slot opening on electromagnetic vibration are analyzed respectively. Through the comprehensive analysis of loss and vibration, this flywheel energy storage motor can achieve the performance requirements of low loss and low vibration.

关键词： Vibrations Stators Motors Iron Flywheels Structural engineering Magnetic losses Reliability Electromagnetics Uninterruptible power systems

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Corynebacterium parakroppenstedtii secretes a novel glycolipid to promote the development of granulomatous lobular mastitis

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Signal Transduction and Targeted Therapy 2024年第11期9卷 5250-5266页

作者： Ran Liu Zixuan Luo Chong Dai Yuchen Wei Shuqing Yan Xinwen Kuang Kuan Qi Aisi Fu Yinxin Li Shuai Fu Zhengning Ma Wen Dai Xiao Xiao Qing Wu Haokui Zhou Yan Rao Jingping Yuan Ting Shi Zixin Deng Chuang Chen Tiangang Liu Renmin Hospital of Wuhan University Wuhan University430071 WuhanChina State Key Laboratory of Microbial Metabolism Joint International Research Laboratory of Metabolic&Developmental Sciencesand School of Life Sciences and BiotechnologyShanghai Jiao Tong University200240 ShanghaiChina CAS Key Laboratory of Quantitative Engineering Biology Shenzhen Institute of Synthetic BiologyShenzhen Institute of Advanced TechnologyChinese Academy of Sciences518055 ShenzhenChina Key Laboratory of Combinatorial Biosynthesis and Drug Discovery Ministry of Education and School of Pharmaceutical SciencesWuhan University430072 WuhanChina Department of Microbiology The Chinese University of Hong KongHong KongChina Zhongnan Hospital of Wuhan University Wuhan University430071 WuhanChina Dgensee Co. Ltd430073 WuhanChina Hesheng Tech Co.Ltd430073 WuhanChina Animal Biosafety Level III Laboratory at the Center for Animal Experiment Wuhan University School of MedicineWuhan University430071 WuhanChina TaiKang Center for Life and Medical Sciences Wuhan University430072 WuhanChina

Granulomatous lobular mastitis(GLM)is a chronic idiopathic granulomatous mastitis of the mammary gland characterized by significant pain and a high propensity for recurrence,the incidence rate has gradually increased,and has become a serious breast disease that should not be *** is highly suspected relative to microbial infections,especially those of Corynebacterium species;however,the mechanisms involved are unclear,and prevention and treatment are *** this study,we demonstrated the pathogenicity of Corynebacterium parakroppenstedtii in GLM using Koch’s *** on the drug sensitization results of ***,and utilizing a retrospective study in conjunction with a comprehensive literature review,we suggested an efficacious,targeted antibiotic treatment strategy for ***,we identified the pathogenic factor as a new type of glycolipid(named corynekropbactins)secreted by *** may chelate iron,cause the death of mammary cells and other mammary-gland-colonizing bacteria,and increase the levels of inflammatory *** further analyzed the prevalence of *** infection in patients with ***,we suggested that the lipophilicity of *** may be associated with its infection route and proposed a possible model for the development of *** research holds significant implications for the clinical diagnosis and therapeutic management of GLM,offering new insights into targeted treatment approaches.

关键词： prevention diagnosis treatment

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A Multi-head Convolution Network with Attention Consistency for Facial Expression Recognition

A Multi-head Convolution Network with Attention Consistency ...

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第42届中国控制会议

作者： Wenkang Liu Mingyi Sun Yang Li the Department of Automation Science and Electrical Engineering Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beihang University Advanced Institute of Information Technology Peking University

In recent years,the demand for facial expression recognition applications has increased rapidly,and its research has received extensive attention from ***,the current recognition methods based on deep learning ignore the idea of multiple head attention and semantic consistency,resulting in the model only paying attention to the local area of the feature *** addition,the model's inconsistent attention to the images before and after the flip,resulting the poor robustness,poor interpretation,and other shortcomings in the *** address the above problems,we propose an Affinity Separation Loss(ASLoss),which improves the separability of samples through ***,a Separate Multi-head Attention block(SMA),and a Zonal Loss(ZLoss) are also designed to decentralize the model's *** results demonstrate that our proposed MACNet method achieves competitive recognition performance on two public datasets RAF-DB and FERPlus.

关键词：

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Mg-Based Micromotors with Motion Responsive to Dual Stimuli

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Research 2020年第1期2020卷 966-977页

作者： Kang Xiong Leilei Xu Jinwei Lin Fangzhi Mou Jianguo Guan State Key Laboratory of Advanced Technology for Materials Synthesis and Processing International School of Materials Science and EngineeringWuhan University of TechnologyWuhan 430070China

Mg-based micromotors have emerged as an extremely attractive artificial micro/nanodevice,but suffered from uncontrollable propulsion and limited motion lifetime,restricting the fulfillment of complex ***,we have demonstrated Mg-based micromotors composed of Mg microspheres asymmetrically coated with Pt and temperature-sensitive poly(N-isopropylacrylamide)(PNIPAM)hydrogel layers in *** can implement different motion behaviors stemming from the driving mechanism transformation when encountering catalyzed substrates such as H_(2)O_(2) and respond to both H_(2)O_(2) concentration and temperature in aqueous *** as-constructed Mg-based micromotors are self-propelled by Pt-catalyzed H_(2)O_(2) decomposition following the self-consuming Mg-H_(2)O *** this case,they could further generate bilateral bubbles and thus demonstrate unique self-limitation motion like hovering when the phase transformation of PNIPAM is triggered by decreasing temperature or when the H_(2)O_(2) concentration after permeating across the PNIPAM hydrogel layer is high enough to facilitate bubble *** work for the first time provides a stimuli-induced“hovering”strategy for self-propelled micromotors,which endows Mg-based micromotors with an intelligent response to the surroundings besides the significant extension of their motion lifetime.

关键词： transformation consuming attractive

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Phononic band gap in random spring networks

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Physical Review E 2023年第4期108卷 044306-044306页

作者： Kezhao Xiong Jie Ren Fabio Marchesoni Jiping Huang Department of Physics State Key Laboratory of Surface Physics and Key Laboratory of Micro and Nano Photonic Structures (MOE) Fudan University Shanghai 200438 China College of Sciences Xi'an University of Science and Technology Xi'an 710054 China MOE Key Laboratory of Advanced Micro-Structured Materials and Shanghai Key Laboratory of Special Artificial Microstructure Materials and Technology School of Physics Science and Engineering Tongji University Shanghai 200092 China Department of Physics University of Camerino 62032 Camerino Italy

We investigate the relation between topological and vibrational properties of networked materials by analyzing, both numerically and analytically, the properties of a random spring network model. We establish a pseudodispersion relation, which allows us to predict the existence of distinct transitions from extended to localized vibrational modes in this class of materials. Consequently, we propose an alternative method to control phonon and elastic wave propagation in disordered networks. In particular, the phonon band gap of our spring network model can be enhanced by either increasing its average degree or decreasing its assortativity coefficient. Applications to phonon band engineering and vibrational energy harvesting are briefly discussed.

关键词： Degree correlations Dynamics of networks Elasticity Localization Phonons

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A Novel YJQR-LSTM Model for Nonparametric Probabilistic Sustainable Agriculture Wind Power Forecasting Based on Intelligent IoT

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IEEE Internet of Things Journal 2024年

作者： Wang, Jie Jiang, Junhui Chen, Xinlong Cai, Defu Wu, Yue Lu, Renzhi School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Harbin Engineering University College of Computer Science and Technology Harbin150001 China State Grid Hubei Electric Power Research Institute Hubei Wuhan430079 China School of Technology State Key Laboratory of Efficient Production of Forest Resources Key Laboratory of National Forestry and Grassland Administration on Forestry Equipment and Automation Beijing Forestry University Beijing100083 China Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing400065 China State Key Laboratory of Mechanical Transmission for Advanced Equipment Chongqing University Chongqing400044 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

Energy costs associated with the consumption of non-renewable energy sources have become an important issue in improving the international competitiveness of agriculture. Wind power, as a renewable energy source, can replace non-renewable energy sources to reduce energy costs and improve the sustainability of agricultural. However, the inherent intermittency, randomness, and volatility within weather conditions and wind speed presents a substantial challenge in accurately predicting wind power generation. This work proposes a novel YJQR-LSTM algorithm that leverages Yeo-Johnson quantile regression (YJQR) with a long short-term memory (LSTM) network for nonparametric probabilistic forecasting of wind power generation via the Intelligent Internet of Things. First, an improved YJQR model based on the YJ transformation is designed to obtain a more precise characterization of wind uncertainty, providing a more flexible probability density function for wind power generation. Then, utilizing the unique structure of the LSTM network to learn the parameters of the YJQR model, temporal features can be extracted from time series data. To mitigate the impact of outliers in the raw data on accuracy and improve computational efficiency, a novel logarithmic likelihood function is developed as the loss function utilized in the training phase. The effectiveness of the proposed algorithm is validated using a real-world dataset from five wind farms from the Global Energy Forecasting Competition. Numerical results demonstrate that the algorithm provides more accurate wind power prediction results in complex wind power data environments, which is important for making full use of wind energy and thus reducing the consumption of non-renewable energy in agriculture. © 2024 IEEE.

关键词： Wind forecasting

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Street-Level IP Geolocation Algorithm Based on Landmarks Clustering

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Computers, Materials & Continua 2021年第3期66卷 3345-3361页

作者： Fan Zhang Fenlin Liu Rui Xu Xiangyang Luo Shichang Ding Hechan Tian PLA Strategic Support Force Information Engineering University Zhengzhou450001China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001China Cyberspace Security Key Laboratory of Sichuan Province Chengdu610000China China Electronic Technology Cyber Security Co. Ltd.Chengdu610000China University of Goettingen Goettingen37075Germany

Existing IP geolocation algorithms based on delay similarity often rely on the principle that geographically adjacent IPs have similar ***,this principle is often invalid in real Internet environment,which leads to unreliable geolocation *** improve the accuracy and reliability of locating IP in real Internet,a street-level IP geolocation algorithm based on landmarks clustering is ***,we use the probes to measure the known landmarks to obtain their delay vectors,and cluster landmarks using ***,the landmarks are clustered again by their latitude and longitude,and the intersection of these two clustering results is taken to form training ***,we train multiple neural networks to get the mapping relationship between delay and location in each training ***,we determine one of the neural networks for the target by the delay similarity and relative hop counts,and then geolocate the target by this *** it brings together the delay and geographical coordinates clustering,the proposed algorithm largely improves the inconsistency between them and enhances the mapping relationship between *** evaluate the algorithm by a series of experiments in Hong Kong,Shanghai,Zhengzhou and New *** experimental results show that the proposed algorithm achieves street-level IP geolocation,and comparing with existing typical streetlevel geolocation algorithms,the proposed algorithm improves the geolocation reliability significantly.

关键词： IP geolocation neural network landmarks clustering delay similarity relative hop

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