|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Thiol-functionalized polysilsesquioxane as efficient adsorbent for adsorption of Hg(II) and Mn(II) from aqueous solution显示文摘 | Yuzhong Niu Rongjun Qu Xiguang Liu Lei Mu Baihui Bu Yuting Sun Hou Chen Yangfeng Meng Lina Meng Lin Cheng | 2014 | Materials Research Bulletin2014，，： | 2 |
| 2 | Investigation of the effects of humic acid and H_(2)O_(2) on the photocatalytic degradation of atrazine assisted by microwave显示文摘A solution of atrazine in a TiO_(2)suspension,an endocrine disruptor in natural water,was tentatively treated by microwave-assisted photocatalytic technique.The effects of mannitol,oxygen,humic acid,and hydrogen dioxide on the photodegradation rate were explored.The results could be deduced as follows:the photocatalytic degradation of atrazine fits the pseudo-first-order kinetic well with k=0.0328 s–1,and·OH was identified as the dominant reactant.Photodegradation of atrazine was hindered in the presence of humic acid,and the retardation effect increased as the concentration of humic acid increased.H_(2)O_(2)displayed a significant negative influence on atrazine photocatalysis efficiency.Based on intermediates identified with gas chromatography-mass spectrometry(GC-MS)and Liquid chromatography-mass spectrometry(LC-MS/MS)techniques,the main degradation routes of atrazine are proposed. | Chao QIN Shaogui YANG Cheng SUN Manjun ZHAN Rongjun WANG Huanxing CAI Jia ZHOU | 2010 | Frontiers of Environmental Science & Engineering2010，4，3： | 1 |
| 3 | Controller design of complex system based on nonlinear strength显示文摘 | MU Rongjun CHENG Chao | 2015 | Mathematical Prob- lems in Engineering2015，，52： | 1 |
| 4 | The reproducing kernel particle method for two-dimensional unsteady heat conduction problems显示文摘 | Rongjun Cheng K. M. Liew | 2009 | Computational Mechanics2009，，1： | 1 |
| 5 | Preparation and adsorption properties of crosslinked polystyrene-supported low-generation diethanolamine-typed dendrimer for metal ions显示文摘 | Changmei Sun Rongjun Qu Chunnuan Ji Chunhua Wang Yanzhi Sun Zhongwen Yue Guoxiang Cheng | 2006 | Talanta2006，70，1： | 1 |
| 6 | Numerical simulation of particle motion at cucumber straw grinding process based on EDEM显示文摘Simulation of straw grinding process based on discrete element method(DEM)was proposed.According to the force analysis and kinematics analysis,the differential equation of straw particle motion on hammers was deduced,and the formation mechanism of the material circulation layer was obtained.Geometric model of grinder,particle model and contact model were established by EDEM software.The influence of hammer number,hammer thickness and gap of the hammer-sieve on particle grinding number and power consumption were obtained by single factor simulation test.The grinding process is divided into three stages.The hammer smashing plays a dominant role in 0-0.25 s.While the hammer smashing particle number increases slowly and then decreases to the lowest level in 0.25-0.60 s,the tooth plate smashing particle number increases rapidly and dominates,and then forming a material circulation layer.The hammer and tooth plate smashing particle number is basically stable in 0.60-2.00 s,and the tooth plate smashing occupies the dominant position.With the increase of the number and thickness of hammers,the power consumption of crusher tends to increase,and with the increase of the gap between hammers and sieves,the power consumption of crusher decreases first and then increases.The results can provide guidance for the development of high-efficiency and energy-saving grinding equipment for cucumber straw. | Yunfeng Xu Xiliang Zhang Shuo Wu Cheng Chen Jizhang Wang Shouqi Yuan Bin Chen Pingping Li Rongjun Xu | 2020 | International Journal of Agricultural and Biological Engineering2020，13，6： | 1 |
| 7 | European Polymer Journal 显示文摘 | Sun Changmei Qu Rongjun Ji Chunnuan Wang Qun Wang Chunhua Sun Yanzhi Cheng Guoxiang | 2006 | 42(1): 188-1942006，42，1： | 1 |
| 8 | Preparation and metal binding behavior of poly(4-vinylbenzyl 2-hydroxyethyl) sulfoxide and sulfone显示文摘 | Rongjun Qu Changmei Sun Chunhua Wang Chunnuan Ji Yanzhi Sun Lianxiu Guan Meiyan Yu Guoxiang Cheng | 2005 | European Polymer Journal2005，，7： | 1 |
| 9 | Haplotype variation and KASP markers for SiPSY1-A key gene controlling yellow kernel pigmentation in foxtail millet显示文摘Carotenoid biosynthesis and accumulation are important in determining nutritional and commercial value of crop products.Yellow pigmentation of mature kernels caused by carotenoids is considered a vital quality trait in foxtail millet,an ancient and widely cultivated cereal crop across the world.Genomic regions associated with yellow pigment content(YPC),lutein and zeaxanthin in foxtail millet grains were identified by genome-wide association analysis(GWAS),and SiPSY1(Phytoene synthase 1 which regulates formation of the 40-carbon backbone of carotenoids)was confirmed as the main contributor to all three components by knockout and overexpression analysis.SiPSY1 was expressed in seedlings,leaves,panicles,and mature seeds,and was subcellularly localized to chloroplasts.Transcription of SiPSY1 in 15 DAP immature grains was responsible for YPC in mature seeds.Selection of SiPSY1 combined with increased YPC in mature grains during domestication of foxtail millet was confirmed.Haplotype analysis suggested that expression level of SiPSY1 could be a selection target for future breeding programs,and a KASP marker was developed for selection of favorable SiPSY1 alleles in breeding.The results of this work will benefit nutritional and commercial improvement of foxtail millet varieties,as well as other cereal crops. | Rongjun Zuo Yanyan Zhang Yanbing Yang Chunfang Wang Hui Zhi Linlin Zhang Sha Tang Yanan Guan Shunguo Li Ruhong Cheng Zhonglin Shang Guanqing Jia Xianmin Diao | 2023 | The Crop Journal2023，11，6： | 0 |
| 10 | Bifurcation control of solid angle car-following model through a time-delay feedback method显示文摘In order to alleviate unstable factor-caused bifurcation and reduce oscillations in traffic flow,a feedback control with consideration of time delay is designed for the solid angle model(SAM).The stability and bifurcation condition of the new SAM is derived through linear analysis and bifurcation analysis,and then accurate range of stable region is obtained.In order to explore the mechanism of the influence of multiple parameter combinations on the stability of controlled systems,a definite integral stabilization method is provided to determine the stable interval of time delay and feedback gain.Numerical simulations are explored to verify the feasibility and effectiveness of the proposed model,which also demonstrate that feedback gain and delay are two key factors to alleviate traffic congestion in the SAM. | Qun JI Hao LYU Hang YANG Qi WEI Rongjun CHENG | 2023 | Journal of Zhejiang University-Science A(Applied Physics & Engineering)2023，24，9： | 0 |
| 11 | Short-term inbound rail transit passenger flow prediction based on BILSTM model and influence factor analysis显示文摘Accurate and real-time passenger flow prediction of rail transit is an important part of intelligent transportation systems(ITS).According to previous studies,it is found that the prediction effect of a single model is not good for datasets with large changes in passenger flow characteristics and the deep learning model with added influencing factors has better prediction accuracy.In order to provide persuasive passenger flow forecast data for ITS,a deep learning model considering the influencing factors is proposed in this paper.In view of the lack of objective analysis on the selection of influencing factors by predecessors,this paper uses analytic hierarchy processes(AHP)and one-way ANOVA analysis to scientifically select the factor of time characteristics,which classifies and gives weight to the hourly passenger flow through Duncan test.Then,combining the time weight,BILSTM based model considering the hourly travel characteristics factors is proposed.The model performance is verified through the inbound passenger flow of Ningbo rail transit.The proposed model is compared with many current mainstream deep learning algorithms,the effectiveness of the BILSTM model considering influencing factors is validated.Through comparison and analysis with various evaluation indicators and other deep learning models,the results show that the R2 score of the BILSTM model considering influencing factors reaches 0.968,and the MAE value of the BILSTM model without adding influencing factors decreases by 45.61%. | Qianru Qi Rongjun Cheng Hongxia Ge | 2023 | Digital Transportation and Safety2023，2，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员