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| 1 | Effect of grain refinement induced by wire and arc additive manufacture (WAAM) on the corrosion behaviors of AZ31 magnesium alloy in NaCl solution显示文摘Additive manufacturing(AM)of Mg alloys has become a promising strategy for producing complex structures,but the corrosion performance of AM Mg components remains unexploited.In this study,wire and arc additive manufacturing(WAAM)was employed to produce single AZ31 layer.The results revealed that the WAAM AZ31 was characterized by significant grain refinement with non-textured crystallographic orientation,similar phase composition and stabilized corrosion performance comparing to the cast AZ31.These varied corrosion behaviors were principally ascribed to the size of grain,where cast AZ31 and WAAM AZ31 were featured by micro galvanic corrosion and intergranular corrosion,respectively. | Jianwei LI Youmin QIU Junjie YANG Yinying SHENG Yanliang YI Xun ZENG Lianxi CHEN Fengliang YIN Jiangzhou SU Tiejun ZHANG Xin TONG Bin GUO | 2023 | Journal of Magnesium and Alloys2023，11，1： | 6 |
| 2 | Corrected empirical likelihood for a class of generalized linear measurement error models显示文摘Generalized linear measurement error models, such as Gaussian regression, Poisson regression and logistic regression, are considered. To eliminate the effects of measurement error on parameter estimation, a corrected empirical likelihood method is proposed to make statistical inference for a class of generalized linear measurement error models based on the moment identities of the corrected score function. The asymptotic distribution of the empirical log-likelihood ratio for the regression parameter is proved to be a Chi-squared distribution under some regularity conditions. The corresponding maximum empirical likelihood estimator of the regression parameter π is derived, and the asymptotic normality is shown. Furthermore, we consider the construction of the confidence intervals for one component of the regression parameter by using the partial profile empirical likelihood. Simulation studies are conducted to assess the finite sample performance. A real data set from the ACTG 175 study is used for illustrating the proposed method. | YANG YiPing LI GaoRong TONG TieJun | 2015 | Science China Mathematics2015，58，7： | 6 |
| 3 | Ledinegg instability in microchannels显示文摘 | ZHANG Tiejun TONG Tao | 2009 | International Journal of Heat and Mass Transfer2009，52，： | 1 |
| 4 | Soil and fine root-associated microbial communities are niche dependent and influenced by copper fungicide treatment during tea plant cultivation显示文摘Dear Editor,Fungicide treatment has a profound effect on controlling plant pathogens in modern agriculture,however,it also carries the risk of undesirable outcomes.For decades,scientists have been concerned about the harmful impacts of heavy metals like copper(Cu)on crop performance and soil microorganisms.Use of various copper fungicides,like Bordeaux mixture,have been a component of conventional agricultural practices to control fungal and bacterial pathogens,especially in vineyards,tea gardens,or fruit tree orchards[9,10].This treatment increases the accumulation of high levels of Cu in surface soils,and despite the critical role of Cu as an essential trace element in wide biological and metabolic processes,it becomes toxic to plants when applied at high levels[4].The regular application of copper fungicides has also been linked to affecting microbial communities at the levels of diversity[8],population structure[2],abundance,and growth[1,3].Understanding the undesired effects of fungicides on microorganisms’beneficial activities is therefore important for evaluating the hazards associated with the fungicide used in agriculture.Yet,the effects of copper fungicide on full microbial communities remains relatively understudied,especially in tea plants.Thus,we herein explored the inf luence of Bordeaux mixture under different management regimes(raking or without raking leaf litter)on microbial communities of root,bulk soil,and rhizosphere compartments of tea plants planted in a ten-year-old tea garden.We provided insights into the ecological consequences of tea management practices that might help to identify specific fungicide treatment regimens,environmental characteristics,and microbial community members to minimize the negative environmental outcomes and optimize the positive anti-pathogen aspects of fungicide treatment. | Ali Inayat Mallano Jie Yu Tabys Dina Fangdong Li Tiejun Ling Naveed Ahmad Jeffrey Bennetzen Wei Tong | 2023 | Horticulture Research2023，10，3： | 0 |
| 5 | Sequential profile Lasso for ultra-high-dimensional partially linear models显示文摘In this paper, we study ultra-high-dimensional partially linear models when the dimension of thelinear predictors grows exponentially with the sample size. For the variable screening, we proposea sequential profile Lasso method (SPLasso) and show that it possesses the screening property.SPLasso can also detect all relevant predictors with probability tending to one, no matter whetherthe ultra-high models involve both parametric and nonparametric parts. To select the best subset among the models generated by SPLasso, we propose an extended Bayesian information criterion (EBIC) for choosing the final model. We also conduct simulation studies and apply a realdata example to assess the performance of the proposed method and compare with the existingmethod. | Yujie Li Gaorong Li Tiejun Tong | 2017 | Statistical Theory and Related Fields2017，1，2： | 0 |
| 6 | Partially Linear Single-Index Model in the Presence of Measurement Error显示文摘The partially linear single-index model(PLSIM) is a flexible and powerful model for analyzing the relationship between the response and the multivariate covariates. This paper considers the PLSIM with measurement error possibly in all the variables. The authors propose a new efficient estimation procedure based on the local linear smoothing and the simulation-extrapolation method,and further establish the asymptotic normality of the proposed estimators for both the index parameter and nonparametric link function. The authors also carry out extensive Monte Carlo simulation studies to evaluate the finite sample performance of the new method, and apply it to analyze the osteoporosis prevention data. | LIN Hongmei SHI Jianhong TONG Tiejun ZHANG Riquan | 2022 | Journal of Systems Science & Complexity2022，35，6： | 0 |
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