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| 1 | Controlled synthesis of Ce(OH)CO_3 flowers by a hydrothermal method and their thermal conversion to CeO_2 flowers显示文摘Highly uniform Ce(OH)CO3 flowers were successfully prepared in large quantities using a facile hydrothermal approach from the reaction of Ce(NH4)(NO3)4 with CO(NH2)2 at 160 ℃ in a water-N 2H4 complex.The influences of the N2H4 content and temperature on flower formation were discussed.CeO2 flowers were prepared by thermal conversion of Ce(OH)CO3 flowers at 500℃ in air.Both Ce(OH)CO3 and CeO2 flowers were characterized by X-ray powder diffraction(XRD),and scanning electron microscopy(SEM).The UV-vis adsorption spectrum of the CeO2 flowers showed that the band gap energy(Eg) is 2.66 eV,which is lower than that of bulk ceria. | Dongen Zhang Feng Li Jian Gu Qing Xie Shanzhong Li Xiaobo Zhang Guiquan Han Ailing Ying Zhiwei Tong | 2012 | Particuology2012，10，6： | 4 |
| 2 | Effect of PAC addition on MBR process for drinking water treatment 显示文摘 | Sagbo Omer Sun Yaxi Hao Ailing Gu Ping | 2008 | Separation and PurificationTechnology2008，58，2008： | 1 |
| 3 | Optimal Reinsurance and Investment Strategies for Insurers with Regime-Switching and State-Dependent Utility Function显示文摘This paper considers a proportional reinsurance-investment problem and an excess-of-loss reinsurance-investment problem for an insurer,where price processes of the risky assets and wealth process of the insurer are both described by Markovian regime switching.The target of the insurer is assumed to maximize the expected exponential utility from her terminal wealth with a state-dependent utility function.By employing the dynamic programming approach,the optimal value functions and the optimal reinsurance-investment strategies are derived.In addition,the impact of some parameters on the optimal strategies and the optimal value functions is analyzed,and lots of interesting results are discovered,such as the conclusion that excess-of-loss reinsurance is better than proportional reinsurance is not held in the regime-switching jump-diffusion model. | GU Ailing LI Zhongfei | 2016 | Journal of Systems Science & Complexity2016，29，6： | 1 |
| 4 | Classification of Rice Yield Using UAV-Based Hyperspectral Imagery and Lodging Feature显示文摘High-yield rice cultivation is an effective way to address the increasing food demand worldwide.Correct classification of high-yield rice is a key step of breeding.However,manual measurements within breeding programs are time consuming and have high cost and low throughput,which limit the application in large-scale field phenotyping.In this study,we developed an accurate large-scale approach and presented the potential usage of hyperspectral data for rice yield measurement using the XGBoost algorithm to speed up the rice breeding process for many breeders.In total,13 japonica rice lines in regional trials in northern China were divided into different categories according to the manual measurement of yield.Using an Unmanned Aerial Vehicle(UAV)platform equipped with a hyperspectral camera to capture images over multiple time series,a rice yield classification model based on the XGBoost algorithm was proposed.Four comparison experiments were carried out through the intraline test and the interline test considering lodging characteristics at the midmature stage or not.The result revealed that the degree of lodging in the midmature stage was an important feature affecting the classification accuracy of rice.Thus,we developed a low-cost,high-throughput phenotyping and nondestructive method by combining UAV-based hyperspectral measurements and machine learning for estimation of rice yield to improve rice breeding efficiency. | Jian Wang Bizhi Wu Markus VKohnen Daqi Lin Changcai Yang Xiaowei Wang Ailing Qiang Wei Liu Jianbin Kang Hua Li Jing Shen Tianhao Yao Jun Su Bangyu Li Lianfeng Gu | 2021 | Plant Phenomics2021，3，1： | 0 |
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