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| 1 | Variety distribution pattern and climatic potential productivity of spring maize in Northeast China under climate change显示文摘This study was based on the daily meteorological data of 101 meteorological stations from 1971 to 2000 and the 0.25°×0.25° grid data from 1951 to 2100 simulated by RegCM3 under the future A1B climatic scenario published by National Climate Center,in combination with the demand of climatic condition for maize growth in Northeast China.The trajectory of agricultural climatic resources and the effects of climate change on variety distribution and climatic potential productivity of spring maize in Northeast China under future climate change were analyzed.The main agro-climatic resource factors include:the initial date daily average temperature stably passing 10℃(≥10℃),the first frost date,the days of growing period,the ≥10℃ accumulated temperature,and the total radiation and precipitation in the growing period.The results showed that:(1) in the coming 100 years,the first date of ≥10℃ would be significantly advanced,and the first frost date would be delayed.The days of growing period would be extended,the ≥10℃ accumulated temperature and the total radiation would be significantly increased.However,no significant change was found in precipitation.(2) Due to the climate change,the early-maturing varieties will be gradually replaced by late-maturing varieties in Northeast China,and the planting boundaries of several maize varieties would be extended northward and eastward.(3) There would be a significant change in the climatic potential productivity of maize in Northeast China with the high-value gradually moving towards northeast.(4) It was an effective way to increase the climatic potential productivity of maize by appropriate adjustment of sowing date. | YUAN Bin GUO JlanPing YE MingZhu ZHAO JunFang | 2012 | Chinese Science Bulletin2012，57，26： | 16 |
| 2 | Improved Toughness and Thermal Expansion of Non-stoichiometry Gd_(2-x)Zr_(2+x)O_(7+x/2) Ceramics for Thermal Barrier Coating Application显示文摘Gd_2Zr_2O_7 has been considered as a promising thermal barrier coating candidate,but its toughness and thermal expansion coefficient(TEC) need to be improved.In this study,Gd_(2-x)Zr_(2+x)O_(7+x/2)(x = 0,0.1,0.3,0.5,0.7) compounds were produced to improve the toughness and enlarge the TEC.Gd_2Zr_2O_7 and Gd_(1.9)Zr_(2.1)O_(7.05) exhibited pyrochlore structure,while Gd_(2-x)Zr_(2+x)O_(7+x/2)(x=0.3,0.5,0.7) consisted of pyrochlore and t'-ZrO_2 phases.With increasing ZrO_2 content,the pyrochlore in the compounds had decreased lattice parameter,and its ordering degree decreased when x≤0.3,then it almost kept unchanged with higher ZrO_2 content.Among the Gd_(2-x)Zr_(2+x)O_(7+x/2) ceramics investigated,the toughness of the compounds increased with increasing ZrO_2 content,while Gd_(1.7)Zr_(2.3)O_(7.15) exhibited the largest TEC.The related mechanisms were discussed in detail. | Lei Guo Mingzhu Li Yu Zhang Fuxing Ye | 2016 | Journal of Materials Science & Technology2016，32，1： | 6 |
| 3 | A method of elevated temperatures coupled with magnetic stirring to predict real time release from long acting progesterone PLGA microspheres显示文摘The object of the study was to develop a quick and reproducible accelerated in vitro release method to predict and deduce the function of the real time(37 °C) release for long acting PLGA microspheres. The method could be described in several steps. First, the release of the microspheres were studied using the sample and separate method at 37 °C with normal orbital shaking and elevated temperatures with magnetic stirring to further accelerate the release. Second, the most similar profile at elevated temperatures with the real time release was chosen with the help of the n value in the fitted Korsmeyer-Peppas Function. Third,the Weibull function and conversion ratio were used to deduce the function of real time release according to the chosen profile at elevated temperatures. The key point in this study was to provide a quick and precise method to predict the real time release for long acting progesterone PLGA microspheres. So the elevated temperatures coupled with magnetic stirring were used to accelerate the release further, and when there have many similar release profiles with the real time release at elevated temperatures, releasing time at elevated temperatures and the R2 of the final deduced function will be used to help choosing the most similar release profile with the real time release. Four different types of progesterone PLGA microspheres were used to verify the method, and all the deduced function correlated well with the real time releases, for R2 = 0.9912, 0.9781, 0.9918 and 0.9972, respectively. | Mingzhu Ye Hongliang Duan Lixia Yao Yicheng Fang Xiaoyu Zhang Ling Dong Feifei Yang Xinggang Yang Weisan Pan | 2019 | Asian Journal of Pharmaceutical Sciences2019，14，2： | 3 |
| 4 | A new phosphidation route for the synthesis of NiPx and their cocatalytic performances for photocatalytic hydrogen evolution over g-C3N4显示文摘Ni-based phosphides(NiPx)composed of earth-abundant elements are promising cocatalysts to replace noble metals for photocatalytic H2 evolution reaction(HER).A safe,energy-saving,and compositioncontrollable synthesis of NiPx is still highly desired.A facile and mild solvothermal process was developed for the first time for selective synthesis of a series of NiPx,including Ni,Ni12P5,Ni2P/Ni12P5,Ni/Ni2P and Ni2P,through controlling the dosage of NaBH4 and NaH2PO2.The phosphidation process was mainly composed of(1)a sequential reduction of Ni2+to Nj0 and(H2PO2)-to P(around the formed Ni0)triggered by NaBH4,and(2)a final phosphidation between Nj0 and the in situ generated P atoms.The photocatalytic HER performance of g-C3N4 can be substantially improved with the decoration of NiPx(3 wt%)as the separation of photoinduced charge carriers can be promoted and some active sites with low over-potential for HER can be introduced.The cocatalytic efficiency of NiPx is mainly determined by P content.Ni2P with a high ratio of P consequently exhibits the highest HER performance(215.1 umol g-1 h-1),which is almost six times higher than that of the pristine g-C3N4(35.6 umol g-1 h-1).Thus,as for the cocatalyst based on Ni phosphides,Ni2P is the preferable crystal phase and more efforts should be devoted to Ni2P to further optimize its structure,texture,and morphology in future works. | Ziqun Wang Longfeng Li Mingzhu Liu Tifang Miao Xiangju Ye Sugang Meng Shifu Chen Xianliang Fu | 2020 | Journal of Energy Chemistry2020，29，9： | 2 |
| 5 | SURFACE MESH PARAMETERIZATION WITH NATURAL BOUNDARY显示文摘Using the projected curve of surface mesh boundary as parameter domain border, linear mapping parameterization with natural boundary is realized. A fast algorithm for least squares fitting plane of vertices in the mesh boundary is proposed. After the mesh boundary is projected onto the fitting plane, low-pass filtering is adopted to eliminate crossovers, sharp corners and cavities in the projected curve and convert it into an eligible convex parameter domain boundary. In order to facilitate quantitative evaluations of parameterization schemes, three distortion-measuring formulae are presented. | Ye MingZhu XiaofengWang ChengtaoSchool of Mechanical Engineering,Shanghai Jiaotong University,Shanghai 200030, China | 2003 | Chinese Journal of Mechanical Engineering2003，16，3： | 0 |
| 6 | Multi-Scale Image Segmentation Model for Fine-Grained Recognition of Zanthoxylum Rust显示文摘Zanthoxylum bungeanum Maxim,generally called prickly ash,is widely grown in China.Zanthoxylum rust is the main disease affecting the growth and quality of Zanthoxylum.Traditional method for recognizing the degree of infection of Zanthoxylum rust mainly rely on manual experience.Due to the complex colors and shapes of rust areas,the accuracy of manual recognition is low and difficult to be quantified.In recent years,the application of artificial intelligence technology in the agricultural field has gradually increased.In this paper,based on the DeepLabV2 model,we proposed a Zanthoxylum rust image segmentation model based on the FASPP module and enhanced features of rust areas.This paper constructed a fine-grained Zanthoxylum rust image dataset.In this dataset,the Zanthoxylum rust image was segmented and labeled according to leaves,spore piles,and brown lesions.The experimental results showed that the Zanthoxylum rust image segmentation method proposed in this paper was effective.The segmentation accuracy rates of leaves,spore piles and brown lesions reached 99.66%,85.16%and 82.47%respectively.MPA reached 91.80%,and MIoU reached 84.99%.At the same time,the proposed image segmentation model also had good efficiency,which can process 22 images per minute.This article provides an intelligent method for efficiently and accurately recognizing the degree of infection of Zanthoxylum rust. | Fan Yang Jie Xu Haoliang Wei Meng Ye Mingzhu Xu Qiuru Fu Lingfei Ren Zhengwen Huang | 2022 | Computers, Materials & Continua2022，，5： | 0 |
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