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TSC prediction and dynamic control of BOF steelmaking with state-of-the-art machine learning and deep learning methods

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Journal of Iron and Steel Research International 2024年第1期31卷 174-194页

作者： tian-yi xie Cai-dong Zhang Quan-lin Zhou Zhi-qiang tian Shuai Liu Han-jie Guo Material Technology Research Institute Hesteel GroupShijiazhuang050023HebeiChina Tangsteel Company Hesteel GroupTangshan063611HebeiChina School of Artificial Intelligence Beijing Technology and Business UniversityBeijing100048China School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing100083China

Mathematical(data-driven)models based on state-of-the-art(SOTA)machine learning and deep learning models and data collected from 12,786 heats were established to predict the values of temperature,sample,and carbon(TSC)test,including temperature of molten steel(TSC-Temp),carbon content(TSC-C)and phosphorus content(TSC-P),which made prepa-ration for eliminating the TSC *** maximize the prediction accuracy of the proposed approach,various models with different inputs were implemented and compared,and the best models were applied to the production process of a Hesteel Group steelmaking plant in China in the *** number of tabular features(hot metal information,scrap,additives,blowing practices,and preset values)was expanded,and time series(off-gas profiles and blowing practice curves)that could reflect the entire steelmaking process were introduced as ***,the latest machine learning models(LightGBM,CatBoost,TabNet,and NODE)were used to make predictions with tabular features,and the best coefficient of determination R^(2)values obtained for TSC-P,TSC-C and TSC-Temp predictions were 0.435(LightGBM),0.857(Cat-Boost)and 0.678(LightGBM),respectively,which were higher than those of classic models(backpropagation and support vector machine).Then,making predictions was performed by using SOTA time series regression models(SCINet,DLinear,Informer,and MLSTM-FCN)with original time series,SOTA image regression models(NesT,CaiT,ResNeXt,and GoogLeNet)with resized time series,and the proposed Concatenate-Model and Parallel-Model with both tabular features and time *** optimization and comparisons,it was finally determined that the Concatenate-Model with MLSTM-FCN,SCINet and Informer as feature extractors performed the best,and its R^(2)values for predicting TSC-P,TSC-C and TSC-Temp reached 0.470,0.858 and 0.710,*** field test accuracies for TSC-P,TSC-C and TSC-Temp were 0.459,0.850 and 0.685,respectively.A related importance analysis was carri

关键词： BOF steelmaking In-blow prediction TSC test Machine learning Deep learning Field application

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Research fronts and researchers of World Journal of Psychiatry in 2023: A visualization and analysis of mapping knowledge domains

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World Journal of Psychiatry 2024年第7期14卷 1118-1126页

作者： Yun-tian xie Yu-Jing Yang Department of Applied Psychology Changsha Normal UniversityChangsha 410100Hunan ProvinceChina

BACKGROUND In the rapidly evolving landscape of psychiatric research,2023 marked another year of significant progress globally,with the World Journal of Psychiatry(WJP)experiencing notable expansion and *** To conduct a comprehensive visualization and analysis of the articles published in the WJP throughout *** delving into these publications,the aim is to deter-mine the valuable insights that can illuminate pathways for future research endeavors in the field of *** A selection process led to the inclusion of 107 papers from the WJP published in 2023,forming the dataset for the *** advanced visualization techniques,this study mapped the knowledge domains represented in these *** The findings revealed a prevalent focus on key topics such as depression,mental health,anxiety,schizophrenia,and the impact of coronavirus disease ***,through keyword clustering,it became evident that these papers were predominantly focused on exploring mental health disorders,depression,anxiety,schizophrenia,and related *** contributions hailed authors in regions such as China,the United Kingdom,United States,and ***,the paper garnered the highest number of citations,while the American Psychiatric Association was the most cited *** It is recommended that the WJP continue in its efforts to enhance the quality of papers published in the field of ***,there is a pressing need to delve into the potential applications of digital interventions and artificial intelligence within the discipline.

关键词： World Journal of Psychiatry Psychiatry Mapping knowledge domains Visualization Analysis

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High-throughput calculations combining machine learning to investigate the corrosion properties of binary Mg alloys

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Journal of Magnesium and Alloys 2024年第4期12卷 1406-1418页

作者： Yaowei Wang tian xie Qingli Tang Mingxu Wang Tao Ying Hong Zhu Xiaoqin Zeng University of Michigan-Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong University200240ShanghaiChina State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong UniversityShanghai200240China

Magnesium(Mg)alloys have shown great prospects as both structural and biomedical materials,while poor corrosion resistance limits their further *** this work,to avoid the time-consuming and laborious experiment trial,a high-throughput computational strategy based on first-principles calculations is designed for screening corrosion-resistant binary Mg alloy with intermetallics,from both the thermodynamic and kinetic *** stable binary Mg intermetallics with low equilibrium potential difference with respect to the Mg matrix are firstly ***,the hydrogen adsorption energies on the surfaces of these Mg intermetallics are calculated,and the corrosion exchange current density is further calculated by a hydrogen evolution reaction(HER)kinetic *** intermetallics,e.g.Y_(3)Mg,Y_(2)Mg and La_(5)Mg,are identified to be promising intermetallics which might effectively hinder the cathodic ***,machine learning(ML)models are developed to predict Mg intermetallics with proper hydrogen adsorption energy employing work function(W_(f))and weighted first ionization energy(WFIE).The generalization of the ML models is tested on five new binary Mg intermetallics with the average root mean square error(RMSE)of 0.11 *** study not only predicts some promising binary Mg intermetallics which may suppress the galvanic corrosion,but also provides a high-throughput screening strategy and ML models for the design of corrosion-resistant alloy,which can be extended to ternary Mg alloys or other alloy systems.

关键词： Mg intermetallics Corrosion property High-throughput Density functional theory Machine learning

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Milling degree affects the fermentation properties of rice:perspectives from the composition of nutrients and gut microbiota via in vitro fermentation

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Food Science and Human Wellness 2024年第3期13卷 1578-1588页

作者： Yu Zhang Fan Li Shutong Pan Bing Bai Kai Huang Sen Li Hongwei Cao tian xie Jian xie Xiao Guan School of Health Science and Engineering University of Shanghai for Science and TechnologyShanghai 200093China National Grain Industry(Urban Grain and Oil Security)Technology Innovation Center Shanghai 200093China Nutrition&Health Research Institute Co.Ltd. COFCO CorporationBeijing 102209China China Grain Wuhan Scientific Research&Design Institute Co.Ltd. Wuhan 430079China

Fermentation substrates of rice with different milling degrees(MDs) were prepared and fermented with human feces to compare their fermentation properties and effects on gut *** 0s,MD 5s and MD 60s represented brown rice,moderately-milled rice and white rice,*** in vitro fermentation,the MD 5s group showed higher starch utilization,compared with the MD 0s and 60s groups evaluated by Fourier transform infrared spectrometer,and confocal laser scanning *** of fermentation substrates of rice with different MDs on gut microbiota were evaluated by 16S rDNA *** the sample groups reduced the pH and produced short-chain fatty acids(SCFAs) and branched-chain fatty *** MD 5s group exhibited higher α-diversity than the MD 0s and 60s *** of Phascolarctobacterium,Blautia and norank_f_Ruminococcaceae were higher in the MD 0s and 5s groups,compared with the MD 60s *** bacteria were also positively correlated with the SCFAs production via Spearman correlation *** vitro culture assay revealed that fermentation substrates of MD 0s and 5s promoted the growth of two probiotics(Akkermansia muciniphila and Bifidobacterium adolescentis).Our results showed that moderate milling might be an appropriate way to produce rice products with richer nutrients and better fermentation properties.

关键词： Rice processing Milling Whole grains Gut microbiota

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Elemene Antitumor Drugs Development Based on "Molecular Compatibility Theory" and Clinical Application: A Retrospective and Prospective Outlook

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Chinese Journal of Integrative Medicine 2024年第1期30卷 62-74页

作者： JIANG Xiao-ying SHI Li-ping ZHU Jun-long BAI Ren-ren xie tian School of Pharmacy Hangzhou Normal UniversityHangzhou(311121)China Key Laboratory of Elemene Class Anti-cancer Chinese Medicines Engineering Laboratory of Development and Application of Traditional Chinese MedicinesCollaborative Innovation Center of Traditional Chinese Medicines of Zhejiang ProvinceHangzhou Normal UniversityHangzhou(311121)China Good Clinical Practice Center Affliliated Hospital of Nanjing University of Chinese MedicineNanjing(210000)China

Elemene, derived from Curcuma wenyujin, one of the "8 famous genuine medicinal materials of Zhejiang province," exhibits remarkable antitumor activity. It has gained wide recognition in clinical practice for effectiveness on tumors. Dr. xie tian introduced the innovative concept of "molecular compatibility theory" by combining Chinese medicine principles, specifically the "monarch, minister, assistant, and envoy" theory, with modern biomedical technology. This groundbreaking approach, along with a systematic analysis of Chinese medicine and modern biomedical knowledge, led to the development of elemene nanoliposome formulations. These novel formulations offer numerous advantages, including low toxicity, well-defined composition, synergistic effects on multiple targets, and excellent biocompatibility. Following the principles of the "molecular compatibility theory", further exploration of cancer treatment strategies and methods based on elemene was undertaken. This comprehensive review consolidates the current understanding of elemene's potential antitumor mechanisms, recent clinical investigations, advancements in drug delivery systems, and structural modifications. The ultimate goal of this review is to establish a solid theoretical foundation for researchers, empowering them to develop more effective antitumor drugs based on the principles of "molecular compatibility theory".

关键词： molecular compatibility theory Chinese integrative medicine elemene antitumor activity drug delivery structural modification

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Octopus-like DNA nanostructure coupled with graphene oxide enhanced fluorescence anisotropy for hepatitis B virus DNA detection

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Chinese Chemical Letters 2024年第6期35卷 531-535页

作者： Jia-Li xie tian-Jin xie Yu-Jie Luo Kai Mao Cheng-Zhi Huang Yuan-Fang Li Shu-Jun Zhen Key Laboratory of Luminescence Analysis and Molecular Sensing(Southwest University) Ministry of EducationCollege of Chemistry and Chemical EngineeringSouthwest UniversityChongqing 400715China Key Laboratory of Luminescent and Real-Time Analytical Chemistry(Southwest University) Chongqing Science and Technology BureauCollege of Pharmaceutical SciencesSouthwest UniversityChongqing 400715China

Fluorescence Anisotropy(FA)is an effective biochemical detection method based on molecular *** oxide(GO)has been extensively used as an FA ***,the enhancement of FA by GO alone is limited and the strong scattering of GO will easily make the measurement of FA *** order to address these problems,an octopus-like DNA nanostructure(ODN)was designed and coupled with GO to enhance the FA together in this *** mimicking the multi-clawed structure of the octopus,the ODN can be adsorbed on GO tightly,which not only could improve the sensitivity because of the double FA enhancement abilities of GO and ODN,but also could improve the specificity due to the decrease of the nonspecific interaction in complex ***,ODN could maintain a certain distance between the fluorophore and GO to reduce the fluorescence quenching efficiency of GO,which could improve the *** method has been applied for the detection of hepatitis B virus DNA(HBV-DNA)in a range of 1-50 nmol/L and the limit of detection(LOD)was 330 pmol/*** addition,the proposed method has been successfully utilized to detect HBV-DNA in human serum,indicating that this method has a great practical application prospect.

关键词： Fluorescence anisotropy Graphene oxide(GO) Octopus-like DNA nanostructure HBV-DNA

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Rumen metagenome reveals the mechanism of mitigation methane emissions by unsaturated fatty acid while maintaining the performance of dairy cows

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Animal Nutrition 2024年第3期18卷 296-308页

作者： Zhantao Yang Yuhui Zheng Siyuan Liu tian xie Qianqian Wang Zhonghan Wang Shengli Li Wei Wang State Key Laboratory of Animal Nutrition and Feeding Beijing Engineering Technology Research Center of Raw Milk Quality and Safety ControlCollege of Animal Science and TechnologyChina Agricultural UniversityBeijing 100193China

Dietary fat content can reduce the methane production of dairy cows;however,the relevance fatty acid(FA)composition has towards this inhibitory effect is ***,in-depth studies elucidating the effects of unsaturated fatty acids(UFA)on rumen function and the mechanism of reducing methane(CH4)production are *** study exposed 10 Holstein cows with the same parity,similar milk yield to two total mixed rations:low unsaturated FA(LUFA)and high unsaturated FA(HUFA)with similar fat *** LUFA group mainly added fat powder(C16:0>90%),and the HUFA group mainly replaced fat powder with extruded *** experiment lasted 26 d,the last 5 d of which,gas exchange in respiratory chambers was conducted to measure gas *** found that an increase in the UFA in diet did not affect milk production(P>0.05)and could align the profile of milk FAs more closely with modern human nutritional ***,we found that increasing the UFA content in the diet lead to a decrease in the abundance of Methanobrevibacter in the rumen(|linear discriminant analysis[LDA]score|>2 and P 2 and P<0.05),which ultimately decreased CH4 production(P<0.05).Our results illustrated the mechanism involving decreased CH4 production when fed a UFA diet in dairy *** believe that our study provides new evidence to explore CH4 emission reduction measures for dairy cows.

关键词： Methane emission Rumen metagenome Dairy cow Unsaturated fatty acid

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Revealing the Structure-Property Difference of Natural Rubber Prepared by Different Methods: Protein and Gel Content are Key Factors

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Chinese Journal of Polymer Science 2024年第4期42卷 457-467页

作者： Shao-Qi Huang Jun-Qi Zhang Yong Zhu Ling-Min Kong Lu-Sheng Liao Fu-Quan Zhang Zheng-tian xie Jin-Rong Wu State Key Laboratory of Polymer Materials Engineering College of Polymer Science and EngineeringSichuan UniversityChengdu610065China Hainan Provincial Key Laboratory of Natural Rubber Processing Agricultural Products Processing Research Institute of Chinese Academy of Tropical Agricultural SciencesZhanjiang524001China

Natural rubber (NR) is widely used in various fields including aerospace, military industry and transportation due to its superior elasticity and comprehensive mechanical properties. Nonetheless, the commercial NR prepared by different methods usually exhibits different mechanical properties, primarily due to variations in processing conditions during the conversion from latex to bulk rubber material. Consequently, this poses challenges in scientific research and industrial production of NR. In order to assess the properties of various commercially available NR and identify key structural and compositional components, this study systematically compares and analyzes four representative NR raw materials: air dried sheet (ADS), ribbed smoked sheets (RSS), constant viscidity NR (CV), and whole field latex rubber (WF). The investigation focuses on evaluating their static mechanical behavior, SIC behavior, wear resistance, and fatigue resistance. The findings indicate that protein and gel content exhibit a crucial influence on the NR properties. These constituents contribute to the formation of a high-crosslinking density region, generating a heterogeneous network structure within the rubber. This structure amplifies strains during deformation, leading to earlier and stronger strain-induced crystallization (SIC). Among the four commercial NR brands, RSS demonstrates superior overall mechanical and dynamic properties owing to its high protein and gel content. This study serves as a valuable reference for comprehending the differences in properties among various commercial NR, thereby offering guidance for the actual processing and selection of NR.

关键词： Natural rubber Processingmethod Protein Gel content Property

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The roles and mechanisms of SREBP1 in cancer development and drug response

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Genes & Diseases 2024年第4期11卷 258-269页

作者： Ying He Shasha Qi Lu Chen Jinyu Zhu Linda Liang Xudong Chen Hao Zhang Lvjia Zhuo Shujuan Zhao Shuiping Liu tian xie School of Pharmacy Hangzhou Normal UniversityHangzhouZhejiang 311121China Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines Engineering Laboratory of Development and Application of Traditional Chinese MedicinesCollaborative Innovation Center of Traditional Chinese Medicines of Zhejiang ProvinceHangzhou Normal UniversityHangzhouZhejiang 311121China Laboratory of Cancer Genomics Division of Cellular and Molecular ResearchNational Cancer Centre SingaporeSingapore 169610Singapore

Cancer occurrence and development are closely related to increased lipid produc-tion and glucose *** are the basic component of the cell membrane and play a significant role in cancer cell processes such as cell-to-cell recognition,signal transduction,and energy supply,which are vital for cancer cell rapid proliferation,invasion,and *** regulatory element-binding transcription factor 1(SREBP1)is a key transcription factor regulating the expression of genes related to cholesterol biosynthesis,lipid homeostasis,and fatty acid *** addition,SREBP1 and its upstream or downstream target genes are implicated in various metabolic diseases,particularly ***,no review of sREBP1 in cancer biology has yet been ***,we summarized the roles and mechanisms of SREBP1 biological processes in cancer cells,including SREBP1 modification,lipid metabolism and reprogramming,glucose and mitochondrial metabolism,immunity,and tumor microenvi-ronment,epithelial-mesenchymal transition,cell cycle,apoptosis,and ***-ally,we discussed the potential role of SREBP1 in cancer prognosis,drug response such as drug sensitivity to chemotherapy and radiotherapy,and the potential drugs targeting SREBP1 and its corresponding pathway,elucidating the potential clinical application based on SREBP1 and its corresponding signal pathway.

关键词： Cancer Drug Lipid metabolism reprogramming Resistance SREBP1

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雾化空燃比对精甘油旋流喷雾燃烧与污染物的影响

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工程热物理学报 2024年第4期45卷 1224-1232页

作者：张振东谢天田波上海交通大学中英国际低碳学院上海201306 莱斯特大学工程学院英国莱斯特LE17RH

在生物燃料制备工艺中,甘油是重要的副产物之一,具有产量大、价格低、同时热值尚可的特点,精炼过后的产品可作为工业中的补充燃料。本文设计了一个可控的旋流喷雾燃烧平台,通过分析不同雾化空燃比(ALR)下精甘油的实际火焰、OH*荧光信号... 详细信息

在生物燃料制备工艺中,甘油是重要的副产物之一,具有产量大、价格低、同时热值尚可的特点,精炼过后的产品可作为工业中的补充燃料。本文设计了一个可控的旋流喷雾燃烧平台,通过分析不同雾化空燃比(ALR)下精甘油的实际火焰、OH*荧光信号以及燃烧室流场信息,以探究ALR变化对于精甘油喷雾燃烧的影响。此外,对精甘油喷雾燃烧后烟气中的NO、CO和CO_(2)含量随ALR变化的趋势进行分析。结果表明,随着ALR的升高,旋流喷雾火焰的回流区域扩大,甘油火焰中心的OH*信号强度和范围增加,甘油的雾化质量提高。排放方面,NO浓度大体随ALR增加而提升,随当量比增加先升高后下降;CO则是随ALR升高而降低,随当量比增加先降低,后有一定程度升高。提升ALR有利于降低喷雾液滴粒径,促进液滴蒸发及混合,在一定工况范围内能实现低NO_(x)和CO的甘油高效稳定燃烧。

关键词：精甘油雾化空燃比 OH*荧光信号 PIV流场污染物排放

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