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| 1 | Effects of rotating impeller degassing on microstructure and mechanical properties of the A356 scraps 显示文摘 | Hongjun Ni Baode Sun Haiyan Jiang | 2003 | Materials Science and Engineering A2003，352，： | 1 |
| 2 | Purification of scrap aluminum fo il and aluminum melt covering and protecting &atomic purification theory显示文摘 | Ni Hongjun Sun Baode Ding Wenjiang | | 0，，03： | 1 |
| 3 | Effects of rotating impeller degassing on microstructure and mechanical properties of the A356 scraps显示文摘 | Hongjun Ni Baode Sun Haiyan Jiang | 2003 | Materials Science and Engineering2003，352，： | 1 |
| 4 | Performance of special-shaped direct ethanol fuel cell with Pt-SnO2/C catalyst显示文摘 | Ni Hongjun Lü Cancan Wang Xuhong | 2012 | Journal of Jiangsu University:Natural Science Edition2012，33，4： | 1 |
| 5 | 显示文摘 | Li Fei Ni Hongjun Wang Jun | 2004 | Carbon2004，42，14： | 1 |
| 6 | Recent progress of quantum dots for energy storage applications显示文摘The environmental problems of global warming and fossil fuel depletion are increasingly severe,and the demand for energy conversion and storage is increasing.Ecological issues such as global warming and fossil fuel depletion are increasingly stringent,increasing energy conversion and storage needs.The rapid development of clean energy,such as solar energy,wind energy and hydrogen energy,is expected to be the key to solve the energy problem.Several excellent literature works have highlighted quantum dots in supercapacitors,lithium-sulfur batteries,and photocatalytic hydrogen production.Here,we outline the latest achievements of quantum dots and their composites materials in those energy storage applications.Moreover,we rationally analyze the shortcomings of quantum dots in energy storage and conversion,and predict the future development trend,challenges,and opportunities of quantum dots research. | Quan Xu Yingchun Niu Jiapeng Li Ziji Yang Jiajia Gao Lan Ding Huiqin Ni Peide Zhu Yinping Liu Yaoyao Tang Zhong-Peng Lv Bo Peng Travis Shihao Hu Hongjun Zhou Chunming Xu | 2022 | Carbon Neutrality2022，1，1： | 1 |
| 7 | Ef-fect of JDN-I flux on DAS of A365 alloy at different cooling rate显示文摘 | Hongjun Ni Baode Sun Haiyan Jiang etc | 2003 | Materials Science and Engineering2003，348，： | 1 |
| 8 | Gelcasting of aqueous mesocarbon microbead suspension显示文摘 | LI Fei NI Hongjun WANG Jun | 2004 | Carbon2004，42，： | 1 |
| 9 | Purification of scrap aluminum foil and aluminum melt covering and protecting & atomic purification theory 显示文摘 | Ni Hongjun Sun Baode Liu Manping | 2003 | Transactions of Nonferrous Metals Socitety of China2003，13，3： | 1 |
| 10 | Effects of Rotating Impeller Degassing on Microstructure and Mechanical Properties of the A356 scraps 显示文摘 | HONGJUN NI BAODE SUN HAIYAN JIANG | 2003 | Matetrials Science and Engi- neering A 3522003，，： | 1 |
| 11 | Genomic prediction of yield performance among single-cross maize hybrids using a partial diallel cross design显示文摘Genomic prediction(GP)in plant breeding has the potential to predict and identify the best-performing hybrids based on the genotypes of their parental lines.In a GP experiment,34 elite inbred lines were selected to make 285 single-cross hybrids in a partial-diallel cross design.These lines represented a mini-core collection of Chinese maize germplasm and comprised 18 inbred lines from the Stiff Stalk heterotic group and 16 inbred lines from the Non-Stiff Stalk heterotic group.The parents were genotyped by sequencing and the 285 hybrids were phenotyped for nine yield and yield-related traits at two locations in the summer sowing area(SUS)and three locations in the spring sowing area(SPS)in the main maizeproducing regions of China.Multiple GP models were employed to assess the accuracy of trait prediction in the hybrids.By ten-fold cross-validation,the prediction accuracies of yield performance of the hybrids estimated by the genomic best linear unbiased prediction(GBLUP)model in SUS and SPS were 0.51 and 0.46,respectively.The prediction accuracies of the remaining yield-related traits estimated with GBLUP ranged from 0.49 to 0.86 and from 0.53 to 0.89 in SUS and SPS,respectively.When additive,dominance,epistasis effects,genotype-by-environment interaction,and multi-trait effects were incorporated into the prediction model,the prediction accuracy of hybrid yield performance was improved.The ratio of training to testing population and size of training population optimal for yield prediction were determined.Multiple prediction models can improve prediction accuracy in hybrid breeding. | Ping Luo Houwen Wang Zhiyong Ni Ruisi Yang Fei Wang Hongjun Yong Lin Zhang Zhiqiang Zhou Wei Song Mingshun Li Jie Yang Jianfeng Weng Zhaodong Meng Degui Zhang Jienan Han Yong Chen Runze Zhang Liwei Wang Meng Zhao Wenwei Gao Xiaoyu Chen Wenjie Li Zhuanfang Hao Junjie Fu Xuecai Zhang Xinhai Li | 2023 | The Crop Journal2023，11，6： | 0 |
| 12 | Investigation and Research on the Current Status of Fertilization in Facility Vegetables of Shandong Province显示文摘In order to clarify the current situation and main problems in facility vegetable fertilization and guide farmers to fertilize scientifically,an investigation on the yield and fertilization of facility vegetables( tomato,cucumber,eggplant and celery) was carried out in six districts and counties in Shandong Province from 2016 to 2017. The results showed that among the four vegetables,the yield levels of eggplant and celery varied slightly with the coefficient of variation between 7. 18% and 27. 63%,and the yield levels of tomato and cucumber varied greatly with the coefficient of variation between 33. 84% and 65. 15%. In terms of fertilization,the differences in N,P2O5 and K2O inputs in cucumber was the largest,and the maximum values of the nutrient inputs were 7. 95,8. 54 and 8. 77 times of the corresponding minimum values,respectively. The input amounts of N,P2O5 and K2O in tomato,cucumber and eggplant were 1. 47-2. 68,3. 93-7. 50 and1. 09-1. 51 times of the corresponding demands,respectively. The N and P2O5 inputs of celery exceeded the demands by 32. 00% and 79. 00%,respectively,while the K2O input was only 49. 00% of the demand. The ratios of N∶ P2O5∶ K2O input in the total application amount,organic fertilizer,base fertilizer and topdressing chemical fertilizer of facility vegetables were,respectively,1∶ 0. 84∶ 1. 02,1∶ 0. 84∶ 0. 80,1∶ 0. 99∶ 1. 05 and 1∶ 0. 77∶ 1. 25. The proportion of P2O5 input was too high,while the proportion of K2O input coming from the organic fertilizer was insufficient. The average proportions of organic fertilizer in N,P2O5 and K2O inputs were 43. 96%,43. 72% and 36. 99% respectively. The proportions of organic fertilizer in N and P2O5 inputs were reasonable,while that in K2O was lower.In N,P2O5 and K2O inputs of different vegetables,the proportions from organic fertilizer were reasonable in cucumber,higher in eggplant and lower in tomato and celery. The recommendations were presented in this paper that the inputs of N and P2O5 should be reduced,and the inputs of K2O and organic fertilizer should be increased,while farmers should choose fertilizer with low P2O5 and high K2O contents. | Ronghui MA Lihua JIANG Ni LI Yu XU Jing SHI Yan YANG Mei WANG Jianjun XIAO Zhongtao LI Hongjun GUO Yansheng LIU | 2020 | Agricultural Biotechnology2020，9，3： | 0 |
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