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| 1 | A Regional Ocean Reanalysis System for Coastal Waters of China and Adjacent Seas显示文摘A regional ocean reanalysis system for the coastal waters of China and adjacent seas has been developed by the National Marine Data and Information Service(NMDIS).It produces a dataset package called CORA (China ocean reanalysis).The regional ocean model used is based on the Princeton Ocean Model with a generalized coordinate system(POMgcs).The model is parallelized by NMDIS with the addition of the wave breaking and tidal mixing processes into model parameterizations.Data assimilation is a sequential three-dimensional variational(3D-Var) scheme implemented within a multigrid framework.Observations include satellite remote sensing sea surface temperature(SST),altimetry sea level anomaly(SLA),and temperature/salinity profiles.The reanalysis fields of sea surface height,temperature,salinity,and currents begin with January 1986 and are currently updated every year. Error statistics and error distributions of temperature,salinity and currents are presented as a primary evaluation of the reanalysis fields using sea level data from tidal gauges,temperature profiles,as well as the trajectories of Argo floats.Some case studies offer the opportunity to verify the evolution of certain local circulations.These evaluations show that the reanalysis data produced provide a good representation of the ocean processes and phenomena in the coastal waters of China and adjacent seas. | Guijun Han Wei Li Xuefeng Zhang Dong Li Zhongjie He Xidong Wang Xinrong Wu Ting Yu Jirui Ma | 2011 | Advances in Atmospheric Sciences2011，28，3： | 27 |
| 2 | A general end-to-end diagnosis framework for manufacturing systems显示文摘The manufacturing sector is envisioned to be heavily influenced by artificial-intelligence-based technologies with the extraordinary increases in computational power and data volumes. A central challenge in the manufacturing sector lies in the requirement of a general framework to ensure satisfied diagnosis and monitoring performances in different manufacturing applications. Here, we propose a general data-driven,end-to-end framework for the monitoring of manufacturing systems. This framework, derived from deep-learning techniques, evaluates fused sensory measurements to detect and even predict faults and wearing conditions. This work exploits the predictive power of deep learning to automatically extract hidden degradation features from noisy, time-course data. We have experimented the proposed framework on 10 representative data sets drawn from a wide variety of manufacturing applications. Results reveal that the framework performs well in examined benchmark applications and can be applied in diverse contexts,indicating its potential use as a critical cornerstone in smart manufacturing. | Ye Yuan Guijun Ma Cheng Cheng Beitong Zhou Huan Zhao Hai-Tao Zhang Han Ding | 2020 | National Science Review2020，7，2： | 18 |
| 3 | Additive manufacturing of steel–copper functionally graded material with ultrahigh bonding strength显示文摘Additive manufacturing enables processing of functionally graded materials(FGMs)with flexible spatial design and high bonding strength.A steel-copper FGM with high interfacial strength was developed using laser powder bed fusion(LPBF).The effect of laser process parameters on interfacial defects was evaluated by X-ray tomography,which indicates a low porosity level of 0.042%therein.Gradient/fine dendritic grains in the interface are incited by high cooling rates,which facilitates interface strengthening.Multiple mechanical tests evaluate the bonding reliability of interface;and the fatigue tests further substantiate the ultrahigh bonding strength in FGMs,which is superior to traditional manufacturing methods.Mechanisms of the high interfacial bond strength were also discussed. | Chaolin Tan Youxiang Chew Guijun Bi Di Wang Wenyou Ma Yongqiang Yang Kesong Zhou | 2021 | Journal of Materials Science & Technology2021，，13： | 7 |
| 4 | Application of the Multigrid Data Assimilation Scheme to the China Seas’ Temperature Forecast显示文摘 | Li Wei Xie Yuanfu He Zhongjie Han Guijun Liu Kexiu Ma Jirui Li Dong | 2008 | Journal of Atmospheric and Oceanic Technology2008，，11： | 1 |
| 5 | Application of the Sequential Three-Dimensional Variational Method to Assimilating SST in a Global Ocean Model显示文摘 | He Zhongjie Xie Yuanfu Li Wei Li Dong Han Guijun Liu Kexiu Ma Jirui | 2008 | Journal of Atmospheric and Oceanic Technology2008，，6： | 1 |
| 6 | Fusion of VNIR and Thermal Infrared Remote Sensing Data Based on GA-SOFM Neural Network显示文摘多来源数据熔化方法很少目前涉及 VNIR 和热红外线的遥感。因此,二种数据的潜在的优点足够地还没被拍了,它导致与陆地表面温度联系的参数的低计算精确。在的地方,一个新熔化方法被提出 VNIR 的高空间的分辨率的特征(可见、近红外线) 数据和热红外线的数据的高时间的分辨率充分在这篇论文被探索。非线性的熔化被实现在在借助于 GA-SOFM (基因算法与自我组织的特征地图) 从 VNIR 数据和热红外线的数据估计的陆地表面参数之间的高空间的分辨率和高时间的分辨率获得陆地表面温度 -ANN (人工的神经网络) 。最后,方法被翠菊卫星数据验证。结果证明方法简单、方便并且能很快与高精确捕获更高的分辨率的陆地表面温度分发。 | WANG Chongchang YANG Guijun MA Zhen li XING Zhurong | 2009 | Geo-Spatial Information Science2009，12，4： | 1 |
| 7 | Fabrication of large-area uniform carbon nanotube foams as near-critical-density targets for laser–plasma experiments显示文摘Carbon nanotube foams(CNFs)have been successfully used as near-critical-density targets in the laser-driven acceleration of high-energy ions and electrons.Here we report the recent advances in the fabrication technique of such targets.With the further developed floating catalyst chemical vapor deposition(FCCVD)method,large-area(>25 cm^(2))and highly uniform CNFs are successfully deposited on nanometer-thin metal or plastic foils as double-layer targets.The density and thickness of the CNF can be controlled in the range of 1−13 mg/cm^(3)and 10−200µm,respectively,by varying the synthesis parameters.The dependence of the target properties on the synthesis parameters and the details of the target characterization methods are presented for the first time. | Pengjie Wang Guijun Qi Zhuo Pan Defeng Kong Yinren Shou Jianbo Liu Zhengxuan Cao Zhusong Mei Shirui Xu Zhipeng Liu Shiyou Chen Ying Gao Jiarui Zhao Wenjun Ma | 2021 | High Power Laser Science and Engineering2021，9，2： | 1 |
| 8 | Diatom-inspired multiscale mineralization of patterned protein-polysaccharide complex structures显示文摘Marine diatoms construct their hierarchically ordered,three-dimensional(3D)external structures called frustules through precise biomineralization processes.Recapitulating the remarkable architectures and functions of diatom frustules in artificial materials is a major challenge that has important technological implications for hierarchically ordered composites.Here,we report the construction of highly ordered,mineralized composites based on fabrication of complex self-supporting porous structures—made of genetically engineered amyloid fusion proteins and the natural polysaccharide chitin—and performing in situ multiscale protein-mediated mineralization with diverse inorganic materials,including SiO_(2),TiO_(2)and Ga_(2)O_(3).Subsequently,using sugar cubes as templates,we demonstrate that 3D fabricated porous structures can become colonized by engineered bacteria and can be functionalized with highly photoreactive minerals,thereby enabling co-localization of the photocatalytic units with a bacteria-based hydrogenase reaction for a successful semi-solid artificial photosynthesis system for hydrogen evolution.Our study thus highlights the power of coupling genetically engineered proteins and polysaccharides with biofabrication techniques to generate hierarchically organized mineralized porous structures inspired by nature. | Ke Li Yingfeng Li Xinyu Wang Mengkui Cui Bolin An Jiahua Pu Jintao Liu Boyang Zhang Guijun Ma Chao Zhong | 2021 | National Science Review2021，8，8： | 1 |
| 9 | Photoelectrochemical Hydrogen Production on Cu2Zn Sn S4/Mo-Mesh Thin-Film Electrodes Prepared by Electroplating显示文摘 | Ma Guijun Minegishi Tsutomu Yokoyama Daisuke | 2011 | Chem Phys Lett2011，501，46： | 1 |
| 10 | Visible-light- driven hydrogen production with extremely high quantum efficiency on Pt-PdS/CdS photocatalyst 显示文摘 | Yan Hongjian Yang Jinhui Ma Guijun | 2009 | Journal of Catalysis2009，266，2： | 1 |
| 11 | Application of the Multigrid Data Assimilation Scheme to the China Seas’ Temperature Forecast显示文摘 | Li Wei Xie Yuanfu He Zhongjie Han Guijun Liu Kexiu Ma Jirui Li Dong | | Journal of Atmospheric and Oceanic Technology0，，： | 1 |
| 12 | Application of the Sequential Three-Dimensional Variational Method to Assimilating SST in a Global Ocean Model显示文摘 | He Zhongjie Xie Yuanfu Li Wei Li Dong Han Guijun Liu Kexiu Ma Jirui | | Journal of Atmospheric and Oceanic Technology0，，： | 1 |
| 13 | Direct splitting of H 2 S into H 2 and S on CdS-based photocatalyst under visible light irradiation显示文摘 | Guijun Ma Hongjian Yan Jingying Shi Xu Zong Zhibing Lei Can Li | 2008 | Journal of Catalysis2008，，1： | 1 |
| 14 | Data-Driven Discovery of Stochastic Differential Equations显示文摘Stochastic differential equations(SDEs)are mathematical models that are widely used to describe complex processes or phenomena perturbed by random noise from different sources.The identification of SDEs governing a system is often a challenge because of the inherent strong stochasticity of data and the complexity of the system’s dynamics.The practical utility of existing parametric approaches for identifying SDEs is usually limited by insufficient data resources.This study presents a novel framework for identifying SDEs by leveraging the sparse Bayesian learning(SBL)technique to search for a parsimonious,yet physically necessary representation from the space of candidate basis functions.More importantly,we use the analytical tractability of SBL to develop an efficient way to formulate the linear regression problem for the discovery of SDEs that requires considerably less time-series data.The effectiveness of the proposed framework is demonstrated using real data on stock and oil prices,bearing variation,and wind speed,as well as simulated data on well-known stochastic dynamical systems,including the generalized Wiener process and Langevin equation.This framework aims to assist specialists in extracting stochastic mathematical models from random phenomena in the natural sciences,economics,and engineering fields for analysis,prediction,and decision making. | Yasen Wang Huazhen Fang Junyang Jin Guijun Ma Xin He Xing Dai Zuogong Yue Cheng Cheng Hai-Tao Zhang Donglin Pu Dongrui Wu Ye Yuan Jorge Gonçalves Jürgen Kurths Han Ding | 2022 | Engineering2022，，10： | 1 |
| 15 | Visible-light-driven hydrogen production with extremely high quantum efficiency on Pt–PdS/CdS photocatalyst显示文摘 | Hongjian Yan Jinhui Yang Guijun Ma Guopeng Wu Xu Zong Zhibin Lei Jingying Shi Can Li | 2009 | Journal of Catalysis2009，，2： | 1 |
| 16 | High-energy-density plasma in femtosecond-laser-irradiated nanowire-array targets for nuclear reactions显示文摘In this work,the high-energy-density plasmas(HEDP)evolved from joule-class-femtosecond-laser-irradiated nanowire-array(NWA)targets were numerically and experimentally studied.The results of particle-in-cell simulations indicate that ions accelerated in the sheath field around the surfaces of the nanowires are eventually confined in a plasma,contributing most to the high energy densities.The protons emitted from the front surfaces of the NWA targets provide rich information about the interactions that occur.We give the electron and ion energy densities for broad target parameter ranges.The ion energy densities from NWA targets were found to be an order of magnitude higher than those from planar targets,and the volume of the HEDP was several-fold greater.At optimal target parameters,8%of the laser energy can be converted to confined protons,and this results in ion energy densities at the GJ/cm^(3) level.In the experiments,the measured energy of the emitted protons reached 4 MeV,and the changes in energy with the NWA’s parameters were found to fit the simulation results well.Experimental measurements of neutrons from 2H(d,n)3He fusion with a yield of(24±18)×10^(6)/J from deuterated polyethylene NWA targets also confirmed these results. | Defeng Kong Guoqiang Zhang Yinren Shou Shirui Xu Zhusong Mei Zhengxuan Cao Zhuo Pan Pengjie Wang Guijun Qi Yao Lou Zhiguo Ma Haoyang Lan Wenzhao Wang Yunhui Li Peter Rubovic Martin Veselsky Aldo Bonasera Jiarui Zhao Yixing Geng Yanying Zhao Changbo Fu Wen Luo Yugang Ma Xueqing Yan Wenjun Ma | 2022 | Matter and Radiation at Extremes2022，7，6： | 1 |
| 17 | Physical Activity,Sedentary Behavior,and the Risk of Cardiovascular Disease in Type 2 Diabetes Mellitus Patients:The MIDiab Study显示文摘The aim of this study was to explore the associations of moderate-to-vigorous-intensity physical activity(MVPA)time and sedentary(SED)time with a history of cardiovascular disease(CVD)and multifactorial(i.e.,blood pressure(BP),body mass index(BMI),low-density lipoprotein cholesterol(LDL-C),and glycated hemoglobin A1c(HbA1c))control status among type 2 diabetes mellitus(T2DM)patients in China.A cross-sectional analysis of 9152 people with type 2 diabetes from the Multifactorial Intervention on Type 2 Diabetes(MIDiab)study was performed.Patients were grouped according to their self-reported MVPA time(low,<150 min·week−1;moderate,150 to<450 min·week−1;high,≥450 min·week−1)and SED time(low,<4 h·d–1;moderate,4 to<8 h·d–1;high,≥8 h·d–1).Participants who self-reported a history of CVD were identified as having a CVD risk.Odds ratios(ORs)and 95%confidence intervals(CIs)of CVD risk and multifactorial control status associated with MVPA time and SED time were estimated using mixed-effect logistic regression models,adjusting for China’s geographical region characteristics.The participants had a mean±standard deviation(SD)age of(60.87±8.44)years,44.5%were women,and 25.1%had CVD.After adjustment for potential confounding factors,an inverse association between high MVPA time and CVD risk that was independent of SED time was found,whereas this association was not observed in the moderate-MVPA group.A higher MVPA time was more likely to have a positive effect on the control of BMI.Compared with the reference group(i.e.,those with MVPA time≥450 min·week−1 and SED time<4 h·d–1),CVD risk was higher in the low-MVPA group:The OR associated with an SED time<4 h·d–1 was 1.270(95%CI,1.040–1.553)and that associated with an SED time≥8 h·d–1 was 1.499(95%CI,1.149–1.955).We found that a high MVPA time(i.e.,≥450 min·week−1)was associated with lower odds of CVD risk regardless of SED time among patients with T2DM. | Yafei Wu Guijun Qin Guixia Wang Libin Liu Bing Chen Qingbo Guan Zhongshang Yuan Xu Hou Ling Gao Chao Xu Haiqing Zhang Xu Zhang Qiu Li Yongfeng Song Fei Jing Shizhan Ma Shanshan Shao Meng Zhao Qingling Guo Nanwei Tong Hongyan Zhao Xiaomin Xie Chao Liu Zhongyan Shan Zhifeng Cheng Xuefeng Yu Shulin Chen Tao Yang Yangang Wang Dongmei Li Zhaoli Yan Lixin Guo Qiuhe Ji Wenjuan Wang Jiajun Zhao | 2023 | Engineering2023，，1： | 1 |
| 18 | Estimating the State of Health for Lithium-ion Batteries:A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach显示文摘The state of health(SOH)is a critical factor in evaluating the performance of the lithium-ion batteries(LIBs).Due to various end-user behaviors,the LIBs exhibit different degradation modes,which makes it challenging to estimate the SOHs in a personalized way.In this article,we present a novel particle swarm optimization-assisted deep domain adaptation(PSO-DDA)method to estimate the SOH of LIBs in a personalized manner,where a new domain adaptation strategy is put forward to reduce cross-domain distribution discrepancy.The standard PSO algorithm is exploited to automatically adjust the chosen hyperparameters of developed DDA-based method.The proposed PSODDA method is validated by extensive experiments on two LIB datasets with different battery chemistry materials,ambient temperatures and charge-discharge configurations.Experimental results indicate that the proposed PSO-DDA method surpasses the convolutional neural network-based method and the standard DDA-based method.The Py Torch implementation of the proposed PSO-DDA method is available at http://gffzz188fe103f8f1460as0cnxw59p6pnw66nv.ffgz.tsg.suse.edu.cn/mxt0607/PSO-DDA. | Guijun Ma Zidong Wang Weibo Liu Jingzhong Fang Yong Zhang Han Ding Ye Yuan | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，7： | 0 |
| 19 | Formation of multifaceted nano-groove structure on rutile TiO_(2) photoanode for efficient electron-hole separation and water splitting显示文摘Photoelectrochemical(PEC)water-splitting using solar energy holds great promise for the renewable energy future,and a key challenge in the development of industry viable PEC devices is the unavailability of high-efficient photoanodes.Herein,we designed a TiO_(2) model photocatalyst with nano-groove pattern and different surface orientation using low-energy Ar+irradiation and photoetching of TiO_(2),and significantly improved the intrinsic activity for PEC water oxidation.High-resolution transmission electron microscopy directly manifests that the grooves consist of highly stepped surface with<110>steps and well-crystallized.Transient absorption spectroscopy reveals the groove surface that allows for increased recovery lifetime,which ensures promoted electron-hole separation efficiency.Surface photovoltage directly shows the carrier separation and transportation behaviors,verified by selective photodeposition,demonstrating the groove surface on TiO_(2) contributes to electron-hole separation.This work proposes an efficient and scalable photoanode strategy,which potentially can open new opportunities for achieving efficient PEC water oxidation performance. | Xiaoyi Zhan Yaling Luo Ziyu Wang Yao Xiang Zheng Peng Yong Han Hui Zhang Ruotian Chen Qin Zhou Hongru Peng Hao Huang Weimin Liu Xin Ou Guijun Ma Fengtao Fan Fan Yang Can Li Zhi Liu | 2022 | Journal of Energy Chemistry2022，31，2： | 0 |
| 20 | Highly efficient ozone elimination by metal doped ultra-fine Cu_(2)O nanoparticles显示文摘Nowadays,ozone contamination becomes dominant in air and thus challenges the research and development of cost-effective catalyst.In this study,metal doped Cu_(2)O catalysts are synthesized via reduction of Cu^(2+)by ascorbic acid in base solutions containing doping metal ions.The results show that compared with pure Cu_(2)O,the Mg^(2+)and Fe^(2+)dopants enhance the O_(3)removal efficiency while Ni2+depresses the activity.In specific,Mg-Cu_(2)O shows high O3removal efficiency of 88.4%in harsh environment of 600,000 mL/(g·hr) space velocity and 1500 ppmV O_(3),which is one of the highest in the literature.Photoluminescence and electron paramagnetic spectroscopy characterization shows higher concentration of crystal defects induced by the Mg^(2+)dopants,favoring the O3degradation.The in-situ diffuse reflectance Fourier transform infrared spectroscopy shows the intermediate species in the O_(3)degradation process change from O_(2)^(2-)dominant of pure Cu_(2)O to O_(2)^(-)dominant of Mg-Cu2O,which would contribute to the high activity.All these results show the promising prospect of the Mg-Cu_(2)O for highly efficiency O_(3)removal. | Anqi Wang Le Zhang Jian Guan Xiaoze Wang Guojun Ma Guijun Fan Hang Wang Ning Han Yunfa Chen | 2023 | Journal of Environmental Sciences2023，，12： | 0 |
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