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Formation mechanism of Fe-based amorphous powders produced by spark erosion

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Journal of Materials Science & Technology 2024年第3期170卷 33-46页

作者： Chekai liu Ran li Jiazi Bi Ding Ma Xiaobin liu tao Zhang School of Materials Science and engineering Key Laboratory of Aerospace Materials and Performance(Ministry of Education)Beihang UniversityBeijing 100191China

Spark erosion is a convenient,flexible,and low-cost method to quickly produce fine powders of metals,alloys,and semiconductors in size ranging from nearly a hundred micrometers to submicrometer by repetitive spark *** to the complexity of the powder-forming journey,normally accompanied by high temperature,high pressure,decomposition,diffusion and rapid quenching caused by discharge plasma,the mechanisms of powder formation and possible contaminant infiltration are still controversial,posing a significant challenge to control particle size and chemical composition of the powder produced by this *** this study,Fe-based amorphous powders in different particle-size distributions with high sphericity were fabricated by spark erosion under different discharge-energy *** max-imum particle size of the resultant powders can be correlated with discharge parameters,crater depth,and crater radius,respectively.A multi-ring-breakup model is proposed to reveal the particle-size distribution of the powder formed from the electrode melt under a single-pulse ***,a dielectric-element infiltration model is provided to quantitatively evaluate the infiltration mass ratio of the contaminant elements,stemming from the decomposed products of dielectric liquid,in the resultant powder with different particle *** models verified through the experimental data are significant for the development of high-performance fine Fe-based amorphous powder with controlled particle size and chemical composition.

关键词： Amorphous alloy Particle Spark erosion Infiltration Modeling

Hybrid model for BOF oxygen blowing time prediction based on oxygen balance mechanism and deep neural network

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International Journal of Minerals,Metallurgy and Materials 2024年第1期31卷 106-117页

作者： Xin Shao Qing liu Zicheng Xin Jiangshan Zhang tao Zhou Shaoshuai li State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing 100083China engineering Research Center of MES Technology for Iron&Steel Production Ministry of EducationBeijing 100083China Laiwu Iron and Steel Group Yinshan Section Steel Co. Ltd.Jinan 271104China

The amount of oxygen blown into the converter is one of the key parameters for the control of the converter blowing process,which directly affects the tap-to-tap time of converter. In this study, a hybrid model based on oxygen balance mechanism (OBM) and deep neural network (DNN) was established for predicting oxygen blowing time in converter. A three-step method was utilized in the hybrid model. First, the oxygen consumption volume was predicted by the OBM model and DNN model, respectively. Second, a more accurate oxygen consumption volume was obtained by integrating the OBM model and DNN model. Finally, the converter oxygen blowing time was calculated according to the oxygen consumption volume and the oxygen supply intensity of each heat. The proposed hybrid model was verified using the actual data collected from an integrated steel plant in China, and compared with multiple linear regression model, OBM model, and neural network model including extreme learning machine, back propagation neural network, and DNN. The test results indicate that the hybrid model with a network structure of 3 hidden layer layers, 32-16-8 neurons per hidden layer, and 0.1 learning rate has the best prediction accuracy and stronger generalization ability compared with other models. The predicted hit ratio of oxygen consumption volume within the error±300 m^(3)is 96.67%;determination coefficient (R^(2)) and root mean square error (RMSE) are0.6984 and 150.03 m^(3), respectively. The oxygen blow time prediction hit ratio within the error±0.6 min is 89.50%;R2and RMSE are0.9486 and 0.3592 min, respectively. As a result, the proposed model can effectively predict the oxygen consumption volume and oxygen blowing time in the converter.

关键词： basic oxygen furnace oxygen consumption oxygen blowing time oxygen balance mechanism deep neural network hybrid model

Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 982-995页

作者： tao Wang Qiming Chen Xun Lang Lei Xie Peng li Hongye Su the Department of Electronic engineering the School of InformationYunnan UniversityKunming 650091China DAMO Academy Alibaba GroupHangzhou 311100China the State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang UniversityHangzhou 310027China

Oscillation detection has been a hot research topic in industries due to the high incidence of oscillation loops and their negative impact on plant *** numerous automatic detection techniques have been proposed,most of them can only address part of the practical *** oscillation is heuristically defined as a visually apparent periodic ***,manual visual inspection is labor-intensive and prone to missed *** neural networks(CNNs),inspired by animal visual systems,have been raised with powerful feature extraction *** this work,an exploration of the typical CNN models for visual oscillation detection is ***,we tested Mobilenet-V1,Shufflenet-V2,Efficient Net-B0,and GhostNet models,and found that such a visual framework is well-suited for oscillation *** feasibility and validity of this framework are verified utilizing extensive numerical and industrial *** with state-of-theart oscillation detectors,the suggested framework is more straightforward and more robust to noise and *** addition,this framework generalizes well and is capable of handling features that are not present in the training data,such as multiple oscillations and outliers.

关键词： Convolutional neural networks(CNNs) deep learning image processing oscillation detection process industries

Effects of interactions between arbuscular mycorrhizal fungi and bacteria on the growth of Lotus corniculatus L.:From the perspective of regulating rhizosphere fungal community

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Pedosphere 2024年第2期34卷 411-423页

作者： Qing ZHANG Jin CHen Yingyue li tao HUANG Kailing XIE Jing ZHOU Xiaoyu li Schools of life Sciences Anhui Agricultural UniversityHefei 230036China National engineering Laboratory of Crop Stress Resistance Breeding Anhui Agricultural UniversityHefei 230036China Anhui Province Key Laboratory of Crop Biology Anhui Agricultural UniversityHefei 230036China

Arbuscular mycorrhizal fungi(AMF)provide essential nutrients to crops and are affected by ***-solubilizing bacteria(PSB),nitrogen-fixing bacteria(NFB),and AMF have mutually beneficial relationships with plants,but the effects of their interactions on plant growth by regulating rhizosphere fungal community have not been sufficiently *** this study,a greenhouse pot experiment was conducted to investigate the interactions between AMF and bacteria(PSB and NFB)on the growth of Lotus corniculatus ***,the role of rhizosphere fungal community in the growth of Lotus corniculatus *** explored using Illumina MiSeq high-throughput *** results showed that combined inoculation of AMF with PSB and NFB increased plant biomass,plant height,and fungal colonization *** richness,complexity,and stability of rhizosphere fungal community also increased after combined inoculation of AMF with PSB and/or NFB,particularly with *** addition,combined inoculation of AMF with PSB and NFB enriched the abundance of beneficial microorganisms,with Chaetomium and Humicola showing the greatest *** structural equation model showed that the interactions of AMF with PSB and NFB promoted plant growth by affecting fungal network structure and soil enzyme activities involved in carbon,nitrogen,and phosphorus *** findings provide evidence for the effects of interactions of AMF with PSB and NFB on rhizosphere fungal community and plant growth.

关键词： colonization intensity colonization rate combined inoculation enzyme activity network structure nitrogen-fixing bacteria phosphatesolubilizing bacteria

Omics for deciphering oral microecology

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International Journal of Oral Science 2024年第2期16卷 197-207页

作者： Yongwang lin Xiaoyue liang Zhengyi li tao Gong Biao Ren Yuqing li Xian Peng State Key Laboratory of Oral Diseases&National Center for Stomatology&National Clinical Research Center for Oral Diseases West China Hospital of StomatologySichuan UniversityChengduChina

The human oral microbiome harbors one of the most diverse microbial communities in the human body,playing critical roles in oral and systemic *** technological innovations are propelling the characterization and manipulation of oral ***-throughput sequencing enables comprehensive taxonomic and functional profiling of oral *** long-read platforms improve genome assembly from complex ***-cell genomics provides insights into uncultured *** imaging modalities including fluorescence,mass spectrometry,and Raman spectroscopy have enabled the visualization of the spatial organization and interactions of oral microbes with increasing *** techniques link phylogenetic identity with *** spectrometry imaging reveals metabolic niches and activities while Raman spectroscopy generates rapid biomolecular fingerprints for *** facilitates the isolation and cultivation of novel fastidious oral taxa using high-throughput *** integration of these technologies holds the promise of transforming our understanding of oral microbiome assembly,gene expression,metabolites,microenvironments,virulence mechanisms,and microbe-host interfaces in the context of health and ***,significant knowledge gaps persist regarding community origins,developmental trajectories,homeostasis versus dysbiosis triggers,functional biomarkers,and strategies to deliberately reshape the oral microbiome for therapeutic *** convergence of sequencing,imaging,cultureomics,synthetic systems,and biomimetic models will provide unprecedented insights into the oral microbiome and offer opportunities to predict,prevent,diagnose,and treat associated oral diseases.

关键词： insight holds oral

Accelerated aging and frailty in cardiovascular diseases

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Journal of Geriatric Cardiology 2024年第8期21卷 828-830页

作者： Xue-Hua CHenG tao WU li HAN Department of Traditional Chinese Medicine Geriatrics Huadong Hospital Affiliated to Fudan UniversityShanghaiChina

Aging is the greatest risk factor for cardiovascular disease(CVD),which is the most common cause of death in European countries.[1]It is estimated that during the period from 2020 to 2022,there were 9.0%more excess deaths from CVD than expected.[2]By 2030,approximately 20%of the population will be aged 65 years and older,and CVD will account for 40%of deaths in this age group,[3]imposing a significant burden on the healthcare system and society as a *** is related to frailty,which represents the dynamic progression of physical and physiological decline in older *** limits an individual’s ability to recover from acute stressors and serves as a predictor of clinical adverse *** the uncertainties in screening,assessing,and managing frailty in clinical practice,emphasizing the connections between frailty,aging,and CVD will provide new insights for the prediction,prevention and management of CVD in the aging population.

关键词： aging prevention prediction

Naturally occurring PA^(E206K)point mutation in 2009 H1N1 pandemic influenza viruses impairs viral replication at high temperatures

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Virologica Sinica 2024年第1期39卷 71-80页

作者： Mengmeng Cao Qiannan Jia Jinghua li lili Zhao li zhu Yufan Zhang Shan li tao Deng National Institute of Pathogen Biology Chinese Academy of Medical Sciences&Peking Union Medical CollegeBeijing100730China CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijing100101China

The emergence of influenza virus A pandemic H1N1 in April 2009 marked the first pandemic of the 21st *** this study,we observed significant differences in the polymerase activities of two clinical 2009 H1N1 influenza A virus isolates from Chinese and Japanese *** comparison of the three main protein subunits(PB2,PB1,and PA)of the viral RNA-dependent RNA polymerase complex and subsequent mutational analysis revealed that a single amino acid substitution(E206K)was responsible for the observed impaired replication *** in vitro experiments showed that presence of PAE206K decreased the replication of influenza A/WSN/33 virus in mammalian cells and a reduction in the virus’s pathogenicity in *** studies revealed that PAE206K is a temperature-sensitive mutant associated with the inability to transport PB1–PA complex to the nucleus at high temperature(39.5℃).Hence,this naturally occurring variant in the PA protein represents an ideal candidate mutation for the development of live attenuated influenza vaccines.

关键词： H1N1 Influenza A virus Polymerase acidic protein Point mutation Viral replication

A Modeling Study Recurrent Tuberculosis Towards end TB Strategy—China,2025-2035

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China CDC weekly 2024年第35期6卷 885-890页

作者： tao li Xin Du Zhongwei Jia Yanlin Zhao Department of Epidemiology and Biostatistics School of Public HealthPeking UniversityBeijingChina Chinese Center for Disease Control and Prevention BeijingChina National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases Chinese Center for Disease Control and PreventionBeijingChina Center for Intelligent Public Health Institute for Artificial IntelligencePeking UniversityBeijingChina Department of Global Health School of Public HealthPeking UniversityBeijingChina Center for Drug Abuse Control and Prevention National Institute of Health Data SciencePeking UniversityBeijingChina

Summary What is already known about this topic?The recurrence of tuberculosis(TB)following successful treatment presents a significant *** is added by this report?Achieving the global end TB Strategy milestones and targets with the current strategies in China is ***,interventions following recovery to prevent recurrence,in conjunction with preventive treatment for latent TB infection(LTBI),will aid in meeting these objectives.

关键词： Strategy tuberculosis treatment

Efficient Clustering Network Based on Matrix Factorization

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Computers, Materials & Continua 2024年第7期80卷 281-298页

作者： Jieren Cheng Jimei li Faqiang Zeng Zhicong tao and Yue Yang School of Computer Science and Technology Hainan UniversityHaikou570228China School of Cyberspace Security Hainan UniversityHaikou570228China Hainan Blockchain Technology engineering Research Center Haikou570228China

Contrastive learning is a significant research direction in the field of deep ***,existing data augmentation methods often lead to issues such as semantic drift in generated views while the complexity of model pre-training limits further improvement in the performance of existing *** address these challenges,we propose the Efficient Clustering Network based on Matrix Factorization(ECN-MF).Specifically,we design a batched low-rank Singular Value Decomposition(SVD)algorithm for data augmentation to eliminate redundant information and uncover major patterns of variation and key information in the ***,we design a Mutual Information-enhanced Clustering Module(MI-ECM)to accelerate the training process by leveraging a simple architecture to bring samples from the same cluster closer while pushing samples from other clusters *** experiments on six datasets demonstrate that ECN-MF exhibits more effective performance compared to state-of-the-art algorithms.

关键词： Contrastive learning clustering matrix factorization