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| 1 | Dimethyl ether carbonylation over zeolites显示文摘Syngas to ethanol, consisting of dimethyl ether(DME) carbonylation to methyl acetate(MA) over zeolites and MA hydrogenation to ethanol on copper catalyst, has been developed in recent years.DME carbonylation over zeolites, a key step in this new process, has attracted increasing attention due to the high reaction efficiency and promising industrial application.In recent years, continuous efforts have been made on improving the activity and stability of the zeolites.From a mechanistic point of view, DME carbonylation to MA, involving the formation of C–C bond, is achieved via the Koch-type CO insertion into DME within the 8-member ring(8-MR) pores of zeolites, typically HMOR and HZSM-35.The unique geometric configuration of the 8-MR pore endowed the formation of the key intermediate(acetyl, CH3CO^*), possibly by a spatial confinement of the transition state during CO insertion into the surface O–CH3 group.This review article summarizes the main progress on zeolite-catalyzed DME carbonylation, including reaction kinetics and mechanism, theoretical calculations, and experimental strategies developed for populating acid sites and engineering pore structure of the zeolites in order to enhance the overall performance. | Ensheng Zhan Zhiping Xiong Wenjie Shen | 2019 | Journal of Energy Chemistry2019，28，9： | 8 |
| 2 | Conditional inversion to estimate parameters from eddy-flux observations显示文摘Aims Data assimilation is a useful tool to extract information from large datasets of the net ecosystem exchange(NEE)of CO_(2) obtained by eddy-flux measurements.However,the number of parameters in ecosystem models that can be constrained by eddy-flux data is limited by conventional inverse analysis that estimates parameter values based on one-time inversion.This study aimed to improve data assimilation to increase the number of constrained parameters.Methods In this study,we developed conditional Bayesian inversion to maximize the number of parameters to be constrained by NEE data in several steps.In each step,we conducted a Bayesian inversion to constrain parameters.The maximum likelihood estimates of the constrained parameters were then used as prior to fix parameter values in the next step of inversion.The conditional inversion was repeated until there were no more parameters that could be further constrained.We applied the conditional inversion to hourly NEE data from Harvard Forest with a physiologically based ecosystem model.Important Findings Results showed that the conventional inversion method constrained 6 of 16 parameters in the model while the conditional inversion method constrained 13 parameters after six steps.The cost function that indicates mismatch between the modeled and observed data decreased with each step of conditional Bayesian inversion.The Bayesian information criterion also decreased,suggesting reduced information loss with each step of conditional Bayesian inversion.A wavelet analysis reflected that model performance under conditional Bayesian inversion was better than that under conventional inversion at multiple time scales,except for seasonal and half-yearly scales.In addition,our analysis also demonstrated that parameter convergence in a subsequent step of the conditional inversion depended on correlations with the parameters constrained in a previous step.Overall,the conditional Bayesian inversion substantially increased the number of parameters to be constrained by NEE data and can be a powerful tool to be used in data assimilation in ecology. | Xiaowen Wu Yiqi Luo Ensheng Weng Luther White Yong Ma Xuhui Zhou | 2009 | Journal of Plant Ecology2009，2，2： | 3 |
| 3 | Inverse analysis of coupled carbon-nitrogen cycles against multiple datasets at ambient and elevated CO_(2)显示文摘Aims Carbon(C)sequestration in terrestrial ecosystems is strongly regulated by nitrogen(N)processes.However,key parameters that determine the degree of N regulation on terrestrial C sequestration have not been well quantified.Methods Here,we used a Bayesian probabilistic inversion approach to estimate 14 target parameters related to ecosystem C and N interactions from 19 datasets obtained from Duke Forests under ambient and elevated carbon dioxide(CO_(2)).Important FindingsOur results indicated that 8 of the 14 target parameters,such as C:N ratios in most ecosystem compartments,plant N uptake and external N input,were well constrained by available datasets whereas the others,such as N allocation coefficients,N loss and the initial value of mineral N pool were poorly constrained.Our analysis showed that elevated CO_(2)led to the increases in C:N ratios in foliage,fine roots and litter.Moreover,elevated CO_(2)stimulated plant N uptake and increased ecosystem N capital in Duke Forests by 25.2 and 8.5%,respectively.In addition,elevated CO_(2)resulted in the decrease of C exit rates(i.e.increases in C residence times)in foliage,woody biomass,structural litter and passive soil organic matter,but the increase of C exit rate in fine roots.Our results demonstrated that CO_(2)enrichment substantially altered key parameters in determining terrestrial C and N interactions,which have profound implications for model improvement and predictions of future C sequestration in terrestrial ecosystems in response to global change. | Zheng Shi Yuanhe Yang Xuhui Zhou Ensheng Weng Adrien C.Finzi Yiqi Luo | 2016 | Journal of Plant Ecology2016，9，3： | 2 |
| 4 | Uncertainty analysis of forest carbon sink forecast with varying measurement errors:a data assimilation approach显示文摘Aims Accurate forecast of ecosystem states is critical for improving natural resourcemanagement and climate change mitigation.Assimilating observed data into models is an effective way to reduce uncertainties in ecological forecasting.However,influences ofmeasurement errors on parameter estimation and forecasted state changes have not been carefully examined.This study analyzed the parameter identifiability of a process-based ecosystem carbon cycle model,the sensitivity of parameter estimates and model forecasts to the magnitudes of measurement errors and the information contributions of the assimilated data to model forecasts with a data assimilation approach.Methods We applied a Markov Chain Monte Carlo method to assimilate eight biometric data sets into the Terrestrial ECOsystemmodel.The data were the observations of foliage biomass,wood biomass,fine root biomass,microbial biomass,litter fall,litter,soil carbon and soil respiration,collected at the Duke Forest free-air CO_(2)enrichment facilities from 1996 to 2005.Three levels ofmeasurement errorswere assigned to these data sets by halving and doubling their original standard deviations.Important Findings Results showed that only less than half of the 30 parameters could be constrained,though the observations were extensive and themodelwas relatively simple.Highermeasurement errors led to higher uncertainties in parameters estimates and forecasted carbon(C)pool sizes.The longterm predictions of the slow turnover pools were affected less by the measurement errors than those of fast turnover pools.Assimilated data contributed less information for the pools with long residence times in long-term forecasts.These results indicate the residence times of C pools played a key role in regulating propagation of errors from measurements to model forecasts in a data assimilation system.Improving the estimation of parameters of slowturnover C pools is the key to better forecast long-term ecosystem C dynamics. | Ensheng Weng Yiqi Luo Chao Gao Ram Oren | 2011 | Journal of Plant Ecology2011，4，3： | 2 |
| 5 | A VO x /meso-TiO 2 catalyst for methanol oxidation to dimethoxymethane显示文摘 | Ensheng Zhan Yong Li Junlong Liu Xiumin Huang Wenjie Shen | 2009 | Catalysis Communications2009，，15： | 1 |
| 6 | 显示文摘 | Zhan Ensheng Li Shuang Xu YiDe | 2007 | Catalysis Communications2007，7，7： | 1 |
| 7 | Selective dealumination of mordenite for enhancing its stability in dimethyl ether carbonylation显示文摘 | Huifu Xue Xiumin Huang Ensheng Zhan Meng Ma Wenjie Shen | 2013 | Catalysis Communications2013，，： | 1 |
| 8 | Heterogeneous enantioselective hydrogenation of isophorone over praline mollified Pd catalysts显示文摘 | Zhan Ensheng Li Shuang Xu Yide | 2007 | Catalysis Communications2007，7，7： | 1 |
| 9 | Probabilistic model on stochastic fatigue damage显示文摘 | Shen Hongwei Lin Jizhong Mu Ensheng | 2000 | International Journal of Fatigue2000，，22： | 1 |
| 10 | A Novel Uniplanar Multi-Electrode Capacitive Sensor for In-Situ Weathering Damage Detection of Nonmetallic Materials显示文摘A uniplanar capacitive sensor with 5-electrodes on one plane substrate and a large reflector electrode,was designed to get the corresponding capacitance information for weathering damage detection of non-metallic materials exposed to a service environment.A 2-D finite-element method was employed to simulate the electric potential distribution and capacitance measurements for the sensor.2 marble slabs,one was healthy and the other was notched,were experimentally detected.Both the simulation and the preliminary experimental results show that the measured capacitances decrease after weathering damage occurs in nonmetallic material.The reflector can enlarge the sensitive depth.The weathering assessment of nonmetallic materials can be done by processing the measured capacitances.The proposed approach can effectively detect the weathering damage of nonmetallic material and can be practically used for in-situ weathering damage evaluation. | Ensheng Dong Yonggui Dong Wener Lv Huibo Jia Jun Li | 2006 | 稀有金属材料与工程2006，35，A03： | 1 |
| 11 | Parameter identifiability, constraint, and equifinality in data assimilation with ecosystem models 显示文摘 | LUO YIQI WENG ENSHENG WU XIAOWEN | 2009 | Ecological Applications2009，19，3： | 1 |
| 12 | Consequences of More Extreme Precipitation Regimes for Terrestrial Ecosystems显示文摘 | Knapp Alan K Beier Claus Briske David D Classen Aimée T Luo Yiqi Reichstein Markus Smith Melinda D Smith Stanley D Bell Jesse E Fay Philip A Heisler Jana L Leavitt Steven W Sherry Rebecca Smith Benjamin Weng Ensheng | 2008 | Bioscience2008，，9： | 1 |
| 13 | Extension of the Wilson model to electrolyte solutions 显示文摘 | Ensheng Z Ming Y Robert ES | 2000 | Fluid Phase Equilibria2000，173，1： | 1 |
| 14 | Ginsenoside Rb1 alleviates chronic intermittent hypoxia-induced diabetic cardiomyopathy in db/db mice by regulating the adenosine monophosphate-activated protein kinase/Nrf2/heme oxygenase-1 signaling pathway显示文摘OBJECTIVE:To examine the protective effect of ginsenoside Rb1(Rb1),the main component of Renshen(Radix Ginseng),on cardiomyopathy in db/db mice exposed to chronic intermittent hypoxia(CIH)and explore the potential underlying mechanism of Rb1 in treating diabetic cardiomyopathy(DCM).METHODS:The db/db mice were randomly separated into five groups:normal control group,model group,Rb120 mg/kg group,Rb140 mg/kg group,and glucagon-like peptide-1(GLP-1)group.Mice were exposed to aircondition or CIH for 8 weeks,and Rb1 and GLP-1 were administrated before CIH exposure every day.Oral glucose tolerance test(OGTT),intraperitoneal insulin tolerance test(IPITT),total cholesterol(TC),triglyceride(TG),and high-density lipoprotein cholesterol(HDL-C)were detected to evaluate glycolipid metabolism.The level of insulin was detected by a mouse enzyme-linked immunosorbent assay(ELISA).Cardiac function was detected by echocardiography,and myocardial pathology was observed by hematoxylin-eosin and Masson staining.The expression of collagenⅠand collagenⅢwas detected by immunohistochemistry.Adenosine monophosphate-activated protein kinase(AMPK)/Nrf2/heme oxygenase-1(HO-1)signaling pathway was detected by Western blot and immunofluorescence.RESULTS:Rb1 treatment could improve glucose tolerance and the level of cardiac function indexes,and inhibit the level of oxidative stress indexes and the expression of collagenⅠand collagenⅢ.Moreover,Rb1 treatment enhanced AMPK phosphorylation and increased Nrf2 and HO-1 expression.CONCLUSION:Rb1 treatment alleviated CIH-induced diabetic cardiomyopathy and glycolipid metabolism disorders in db/db mice by inhibiting oxidative stress and regulating the AMPK/Nrf2/HO-1 signaling pathway. | LIU Bingbing LI Jieru SI Jianchao CHEN Qi YANG Shengchang JI Ensheng | 2023 | Journal of Traditional Chinese Medicine2023，43，5： | 0 |
| 15 | EVOLUTION OF FLUID PRESSURE AND HYDROFRACTURING IN MESOTHERMAL GOLD-QUARTZ DEPOSITS | Tang Shijia Peng Ensheng Sun Zhenjia and Gao Guangming(Dept. of Geology Central South University of Technology, Changsha 410083, China) | 1999 | Geotectonica et Metallogenia1999，23，1： | 0 |
| 16 | Frontiers of Offshore Oil Equipment and Engineering Technology显示文摘从一个世界范围的观点,近海气体和油地说明总数的 about60% 。目前,超过 100 个国家正在参加近海油和煤气的探索,超过 50 个国家在之中正在探索海洋地板。与设计技术的连续革新,油和气体将向深 waterarea.The 储备开发的潜水艇的探索被期望以后继续增加。在中国的海区域的油和气体的发现率仅仅分别地等于 18.5% 和 9.2% 。与陆地探索相比,近海探索有一个大潜力。 | Hu Xianfeng and Pan Ensheng | 2007 | China Oil & Gas2007，14，2： | 0 |
| 17 | A new algorithm of background equalization in digtal sonar显示文摘Background equalization technique has been extensively studied in the field of fre quency spectrum analysis. It has been proved an effective method to improve line spectrum extraction. In a multi-beam digital sonar system, the time/bearing display is the most im portant interface between signal processing module and console module. It has been proved that the system gain is often lost in the illterface between these two modules. Background equalization technique can improv the overall performance of the time/bearing display win dow. The result of post processing of multi-beam data is filtered each time before displayed in screen. It is shown that the algorithm of median value filtering combined with OTA (Order Truncate Average) method is an efficient technique to equalize the non-uniform, non-stationary background data. A variable length of window is adopted to match the different width of main lobe of beam patterns. The results of system simulation show that the algorithm described in this paper is efficient in the case that the background of multi-beam data is not | LI Qihu PAN Xuebao LI Weichang LUO Ensheng (Institute of Acoustics, Chinese Academy of Sciences Beijing 100080) | 1999 | Chinese Journal of Acoustics1999，18，3： | 0 |
| 18 | A Novel Soft Sensor for Chinese Tea Characterization显示文摘In cases of measurement,like the beverage discrimination or waste water monitoring,since sensors with direct measuring for specific variables cannot be practically applied,the interest in soft sensor technology,which is based on the acquisition and analysis for a lot of information variables,has rapidly increased.This article presents a novel soft sensor which activates a voltage signal between two specially-designed electrodes,inside the Chinese tea solution,and measures the produced current.The proposed sensor discriminated four different kinds of tea,and the dissolution processes of two of them are described as curves on a bidimensional plane.The results indicate that the proposed approach can also be adapted in characterization or discrimination for other solutions. | Wener Lv Yonggui Dong Ensheng Dong Huibo Jia | 2006 | 稀有金属材料与工程2006，35，A03： | 0 |
| 19 | PETROCHEMISTRYONTHEANIMAQENOPHIOLITE显示文摘PETROCHEMISTRYONTHEANIMAQENOPHIOLITEPengEnshengZhuYude(DepartmentofGeology,CentralSouthUniversityofTechnology,Changsha410083... | Peng Ensheng Zhu Yude | 1996 | Journal of Central South University1996，8，1： | 0 |
| 20 | THE METALLOGENIC STRUCTURE OF VEIN-SHAPED LEAD-ZINCDEPOSIT IN HENGSHANLING-SHEXINGPING,CHENZHOU,HUNAN显示文摘THEMETALLOGENICSTRUCTUREOFVEIN-SHAPEDLEAD-ZINCDEPOSITINHENGSHANLING-SHEXINGPING,CHENZHOU,HUNANSunZhengiaPengEnshengZhuYude(De... | Sun Zhengia Peng Ensheng Zhu Yude(Department of Geology, Central South University ofTechnology, Changsha 410083, China) | 1996 | Journal of Central South University1996，8，1： | 0 |
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