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| 1 | Reaction kinetics of CaC2 formation from powder and compressed feeds显示文摘 | Renxing Wang Zhenyu Liu Leiming Ji Xiaojin Guo Xi Lin Junfei Wu Qingya Liu | 2016 | Frontiers of Chemical Science and Engineering2016，10，4： | 6 |
| 2 | Electrochemical extraction and the analysis of inter-metallic phases and nitrides in tempered duplex stainless steels显示文摘During aging at a temperature ranging from 650-950 ℃,the ferric matrix in duplex stainless steels undergoes various decomposition processes which could form the precipitates of the Sigma (σ) and Chi(χ) phases,as well as nitrides.It is well known that these precipitates lead to a reduction in creep ductility and adversely affect toughness and corrosion properties of steel.This experiment carried out qualitative and quantitative analyses of intermetallic phases and nitrides and established an analytical procedure,including specimen preparation,the choosing of the electrolyte and electrolytic systems,electrolytic isolation,wet chemical separation,and physical and chemical analysis,etc.The residues were collected by ultrasonic cleaning and filtration after galvanostatic electrolysis.Dynamic laser scattering sizer (DLS-sizer),scanning electron microscope (SEM) and transmission electron microscope (TEM) were used to examine their structure,modality and size.Qualitative and quantitative analyses were performed by using X-ray diffraction (XRD),oxygen-nitrogen analyzer and wet chemical analysis.Furthermore,there is a discussion on the effect of isothermal treatment on precipitation that occurs at different temperatures for different periods of time. | MIAO Lede ZHANG Yi WANG Zhiyu WU Junfei | 2009 | Baosteel Technical Research2009，3，2： | 2 |
| 3 | Dynamic long-term microstructural and ultrastructural alterations in sensory nerves of rats of paclitaxel-induced neuropathic pain显示文摘 | Wu Yuan Li Jun Zhou Junfei Feng Yi | 2014 | Chinese Medical Journal2014，，16： | 2 |
| 4 | A sludge volume index (SVI) model based on the multivariate local quadratic polynomial regression method显示文摘In this study, a multivariate local quadratic polynomial regression(MLQPR) method is proposed to design a model for the sludge volume index(SVI). In MLQPR, a quadratic polynomial regression function is established to describe the relationship between SVI and the relative variables, and the important terms of the quadratic polynomial regression function are determined by the significant test of the corresponding coefficients. Moreover, a local estimation method is introduced to adjust the weights of the quadratic polynomial regression function to improve the model accuracy. Finally, the proposed method is applied to predict the SVI values in a real wastewater treatment process(WWTP). The experimental results demonstrate that the proposed MLQPR method has faster testing speed and more accurate results than some existing methods. | Honggui Han Xiaolong Wu Luming Ge Junfei Qiao | 2018 | Chinese Journal of Chemical Engineering2018，26，5： | 2 |
| 5 | The role of supercriticalwater in pyrolysis of carbonaceous compounds 显示文摘 | Xu Tao Liu Qingya Liu Zhenyu Wu Junfei | 2013 | Energ Fuel2013，27，31： | 1 |
| 6 | Nonlinear sys- tems modeling based on self-organizing fuzzy neural network with adaptive computation algorithm显示文摘 | Han Honggui Wu Xiaolong Qiao Junfei | 2014 | IEEE Transactions on Cybernetics2014，44，4： | 1 |
| 7 | Deep Learning Accelerates the Discovery of Two- Dimensional Catalysts for Hydrogen Evolution Reaction显示文摘Two-dimensional materials with active sites are expected to replace platinum as large-scale hydrogen production catalysts.However,the rapid discovery of excellent two-dimensional hydrogen evolution reaction catalysts is seriously hindered due to the long experiment cycle and the huge cost of high-throughput calculations of adsorption energies.Considering that the traditional regression models cannot consider all the potential sites on the surface of catalysts,we use a deep learning method with crystal graph convolutional neural networks to accelerate the discovery of high-performance two-dimensional hydrogen evolution reaction catalysts from two-dimensional materials database,with the prediction accuracy as high as 95.2%.The proposed method considers all active sites,screens out 38 high performance catalysts from 6,531 two-dimensional materials,predicts their adsorption energies at different active sites,and determines the potential strongest adsorption sites.The prediction accuracy of the two-dimensional hydrogen evolution reaction catalysts screening strategy proposed in this work is at the density-functional-theory level,but the prediction speed is 10.19 years ahead of the high-throughput screening,demonstrating the capability of crystal graph convolutional neural networks-deep learning method for efficiently discovering high-performance new structures over a wide catalytic materials space. | Sicheng Wu Zhilong Wang Haikuo Zhang Junfei Cai Jinjin Li | 2023 | Energy & Environmental Materials2023，6，1： | 1 |
| 8 | Three-dimensional analysis technology for accurately characterizing non-metallic inclusion particles in steel显示文摘In this paper,a kind of three-dimensional analysis technology for characterizing non-metallic inclusions in steel was clearly elaborated.It is an electron microscopy observation,namely the non-aqueous electrolysis extraction method with a settled coulometer.In the research,the extraction effects of non-metallic inclusions in different electrolysis systems were studied,and it was concluded that alkalescent 2% TEA non-aqueous electrolyte was applicable for extracting most of non-metallic inclusion particles in steel.And then,in order to ensure the microscopic characterization and statistical calculation of inclusion particles,some electrolysis parameters should be confirmed,such as the size of the sample,control of the electrolysis mass,electric current,etc.Furthermore,for preventing the disturbance of carbides and presenting clear three-dimensional appearance by microscopic characterization,magnetic separation was utilized to separate the inclusion particles from carbides,which was useful for getting more veracious types,particle sizes and chemical composition of inclusions.Moreover,through calculation of quantity and particle size of inclusions in continuous determinate fields,the total quantity per unit volume or area and the particle size distribution of inclusions could be acquired by conversion with electrolysis loss.Besides,the comparison between this method and traditional quantitative metallography was also discussed,and finally,a conclusion was drawn that both of them have respectively applications in characterizing inclusions. | ZHANG Yi CHEN Jinming MIAO Lede WANG Guodong WU Junfei | 2011 | Baosteel Technical Research2011，5，4： | 1 |
| 9 | Unsupervised discovery of thin-film photovoltaic materials from unlabeled data显示文摘Quaternary chalcogenide semiconductors(I_(2)-II-IV-X_(4))are key materials for thin-film photovoltaics(PVs)to alleviate the energy crisis.Scaling up of PVs requires the discovery of I_(2)-II-IV-X_(4) with good photoelectric properties;however,the structure search space is significantly large to explore exhaustively.The scarcity of available data impedes even many machine learning(ML)methods.Here,we employ the unsupervised learning(UL)method to discover I2-II-IV-X4 that alleviates the challenge of data scarcity.We screen all the I_(2)-II-IV-X_(4) from the periodic table as the initial data and finally select eight candidates through UL.As predicted by ab initio calculations,they exhibit good optical conversion efficiency,strong optical responses,and good thermal stabilities at room temperatures.This typical case demonstrates the potential of UL in material discovery,which overcomes the limitation of data scarcity,and shortens the computational screening cycle of I_(2)-II-IV-X_(4) by~12.1 years,providing a research avenue for rapid material discovery. | Zhilong Wang Junfei Cai Qingxun Wang SiCheng Wu Jinjin Li | 2021 | npj Computational Materials2021，，1： | 1 |
| 10 | Degradation behavior of ZE21C magnesium alloy suture anchors and their effect on ligament-bone junction repair显示文摘Current materials comprising suture anchors used to reconstruct ligament-bone junctions still have limitation in biocompatibility,degradability or mechanical properties.Magnesium alloys are potential bone implant materials,and Mg^(2+) has been shown to promote ligament-bone healing.Here,we used Mg-2 wt.%Zn-0.5 wt.%Y-1 wt.%Nd-0.5 wt.%Zr(ZE21C)alloy and Ti6Al4V(TC4)alloy to prepare suture anchors to reconstruct the patellar ligament-tibia in SD rats.We studied the degradation behavior of the ZE21C suture anchor via in vitro and in vivo experiments and assessed its reparative effect on the ligament-bone junction.In vitro,the ZE21C suture anchor degraded gradually,and calcium and phosphorus products accumulated on its surface during degradation.In vivo,the ZE21C suture anchor could maintain its mechanical integrity within 12 weeks of implantation in rats.The tail of the ZE21C suture anchor in high stress concentration degraded rapidly during the early implantation stage(0-4weeks),while bone healing accelerated the degradation of the anchor head in the late implantation stage(4-12weeks).Radiological,histological,and biomechanical assays indicated that the ZE21C suture anchor promoted bone healing above the suture anchor and fibrocartilaginous interface regeneration in the ligament-bone junction,leading to better biomechanical strength than the TC4 group.Hence,this study provides a basis for further research on the clinical application of degradable magnesium alloy suture anchors. | Delin Ma Jun Wang Mingran Zheng Yuan Zhang Junfei Huang Wenxiang Li Yiwen Ding Yunhao Zhang Shijie Zhu Liguo Wang Xiaochao Wu Shaokang Guan | 2023 | Bioactive Materials2023，，8： | 1 |
| 11 | Fuzzy super-twisting sliding mode control for municipal wastewater nitrification process显示文摘A fuzzy super-twisting algorithm sliding mode controller is developed for the dissolved oxygen concentration in municipal wastewater nitrification process. First, a fuzzy neural network(FNN) model is designed to approach the oxygen dynamics with unmeasurable disturbances, then the established model consists of the nominal system model and the modelling error. Second,based on the FNN model, a super-twisting sliding mode controller is employed to stabilize the nominal system and to suppress the modelling error. Moreover, the stability of the system is investigated and an adaption law is applied to ensure the robustness of the closed-loop system. Finally, the comparison experiments on benchmark simulation model no. 2(BSM2) of wastewater treatment show the advantages of the proposed method in multiple-units oxygen concentration control. | HAN HongGui WANG Tong SUN HaoYuan WU XiaoLong LI Wen QIAO JunFei | 2022 | Science China(Technological Sciences)2022，65，10： | 1 |
| 12 | Univariate imputation method for recovering missing data in wastewater treatment process显示文摘High-quality data play a paramount role in monitoring,control,and prediction of wastewater treatment process(WWTP)and can effectively ensure the efficient and stable operation of system.Missing values seriously degrade the accuracy,reliability and completeness of the data quality due to network collapses,connection errors and data transformation failures.In these cases,it is infeasible to recover missing data depending on the correlation with other variables.To tackle this issue,a univariate imputation method(UIM)is proposed for WWTP integrating decomposition method and imputation algorithms.First,the seasonal-trend decomposition based on loess method is utilized to decompose the original time series into the seasonal,trend and remainder components to deal with the nonstationary characteristics of WWTP data.Second,the support vector regression is used to approximate the nonlinearity of the trend and remainder components respectively to provide estimates of its missing values.A self-similarity decomposition is conducted to fill the seasonal component based on its periodic pattern.Third,all the imputed results are merged to obtain the imputation result.Finally,six time series of WWTP are used to evaluate the imputation performance of the proposed UIM by comparing with existing seven methods based on two indicators.The experimental results illustrate that the proposed UIM is effective for WWTP time series under different missing ratios.Therefore,the proposed UIM is a promising method to impute WWTP time series. | Honggui Han Meiting Sun Huayun Han Xiaolong Wu Junfei Qiao | 2023 | Chinese Journal of Chemical Engineering2023，53，1： | 0 |
| 13 | MECOM promotes supporting cell proliferation and differentiation in cochlea显示文摘Permanent damage to hair cells(HCs)is the leading cause of sensory deafness.Supporting cells(SCs)are essential in the restoration of hearing in mammals because they can proliferate and differentiate to HCs.MDS1 and EVI1 complex locus(MECOM)is vital in early development and cell differentiation and regulates the TGF-βsignaling pathway to adapt to pathophysiological events,such as hematopoietic proliferation,differentiation and cells death.In addition,MECOM plays an essential role in neurogenesis and craniofacial development.However,the role of MECOM in the development of cochlea and its way to regulate related signaling are not fully understood.To address this problem,this study examined the expression of MECOM during the development of cochlea and observed a significant increase of MECOM at the key point of auditory epithelial morphogenesis,indicating that MECOM may have a vital function in the formation of cochlea and regeneration of HCs.Meanwhile,we tried to explore the possible effect and potential mechanism of MECOM in SC proliferation and HC regeneration.Findings from this study indicate that overexpression of MECOM markedly increases the proliferation of SCs in the inner ear,and the expression of Smad3 and Cdkn2b related to TGF signaling is significantly down-regulated,corresponding to the overexpression of MECOM.Collectively,these data may provide an explanation of the vital function of MECOM in SC proliferation and trans-differentiation into HCs,as well as its regulation.The interaction between MECOM,Wnt,Notch and the TGF-βsignaling may provide a feasible approach to induce the regeneration of HCs. | Peipei Chen Na Zuo Cheng Wu Jun Ma Yao Li Junfei Gu Wen Li Shaofeng Liu | 2022 | Journal of Otology2022，17，2： | 0 |
| 14 | Nicotinamide adenine dinucleotide(NAD^(+))reduction enabled by an atomically precise Au-Ag alloy nanocluster显示文摘The redox property of the ultrasmall coinage nanoclusters(with several to tens of Au/Ag atoms)has elucidated the electrontransfer capacity of nanoclusters,has been successfully utilized in a variety of redox conversions(such as from CO_(2)to CO).Nevertheless,their biological applications are mainly restricted by the scarcity of atomically precise,water-soluble metal nanoclusters,the limited application(mainly on the decomposition of H_(2)O_(2)in these days).Herein,mercaptosuccinic acid(MSA)protected ultrasmall alloy AuAg nanoclusters were prepared,the main product was determined[Au_(3)Ag_(5)(MSA)_(3)]−by electrospray ionization mass spectrometry(ESI-MS).The clusters can not only mediate the decomposition of H_(2)O_(2)to generate hydroxyl radicals,but is also able to mediate the reduction of nicotinamide adenine dinucleotide(NAD)to its reduced form of NADH.This is the first time that the atomically precise metal nanoclusters were used to mediate the coenzyme reduction.The preliminary mechanistic insights imply the reaction to be driven by the hydrogen bonding between the carboxylic groups(on the surface of MSA)and the amino N–H bonds(on NAD).In this context,the presence of the carboxylic groups,the sub-nanometer size regime(~1 nm),the synergistic effect of the Au-Ag clusters are pre-requisite to the NAD reduction. | Ling Chen Yonglei Du Ying Lv Daoqing Fan Junfei Wu Lingbao Wu Mengting Cui Haizhu Yu Manzhou Zhu | 2023 | Nano Research2023，16，5： | 0 |
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