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| 1 | Rhizosheath formation and involvement in foxtail millet(Setaria italica) root growth under drought stress显示文摘The rhizosheath, a layer of soil particles that adheres firmly to the root surface by a combination of root hairs and mucilage, may improve tolerance to drought stress. Setaria italica(L.) P. Beauv.(foxtail millet), a member of the Poaceae family, is an important food and fodder crop in arid regions and forms a larger rhizosheath under drought conditions. Rhizosheath formation under drought conditions has been studied, but the regulation of root hair growth and rhizosheath size in response to soil moisture remains unclear. To address this question, in this study we monitored root hair growth and rhizosheath development in response to a gradual decline in soil moisture. Here, we determined that a soil moisture level of 10%–14%(w/w)stimulated greater rhizosheath production compared to other soil moisture levels. Root hair density and length also increased at this soil moisture level, which was validated by measurement of the expression of root hair-related genes.These findings contribute to our understanding of rhizosheath formation in response to soil water stress. | Tie-Yuan Liu Nenghui Ye Tao Song Yunying Cao Bei Gao Di Zhang Fuyuan Zhu Moxian Chen Yingjiao Zhang Weifeng Xu Jianhua Zhang | 2019 | Journal of Integrative Plant Biology2019，61，4： | 6 |
| 2 | Acrylamide exposure impairs blood-cerebrospinal fluid barrier function显示文摘Previous studies show that chronic acrylamide exposure leads to central and peripheral neuropathy. However, the underlying mechanisms remained unclear. In this study, we examined the permeability of the blood-cerebrospinal fluid barrier, and its ability to secrete transthyretin and transport leptin of rats exposed to acrylamide for 7, 14, 21 or 28 days. Transthyretin levels in cerebrospinal fluid began to decline on day 7 after acrylamide exposure. The sodium fluorescein level in cerebrospinal fluid was increased on day 14 after exposure. Evans blue concentration in cerebrospinal fluid was increased and the cerebrospinal fluid/serum leptin ratio was decreased on days 21 and 28 after exposure. In comparison, the cerebrospinal fluid/serum albumin ratio was increased on day 28 after exposure. Our findings show that acrylamide exposure damages the blood-cerebrospinal fluid barrier and impairs secretory and transport functions. These changes may underlie acrylamide-induced neurotoxicity. | Xue Yao Licheng Yan Lin Yao Weijun Guan Fanxu Zeng Fuyuan Cao Yanshu Zhang | 2014 | Neural Regeneration Research2014，9，5： | 4 |
| 3 | An initialization method for the K -Means algorithm using neighborhood model显示文摘 | Fuyuan Cao Jiye Liang Guang Jiang | 2009 | Computers and Mathematics with Applications2009，，3： | 2 |
| 4 | Internet-oriented new word identification 显示文摘 | LI Dun CAO Fuyuan CAO Yuanda | 2007 | Journal of Computational Informa- tion System2007，3，6： | 1 |
| 5 | A new initialization method for categorical data clustering显示文摘 | Fuyuan Cao Jiye Liang Liang Bai | 2009 | Expert Systems with Applications2009，36，10： | 1 |
| 6 | Incomplete multi-view clustering via local and global co-regularization显示文摘The incompleteness of multi-view data is a phenomenon associated with real-world data mining applications,which brings a huge challenge for multi-view clustering.Although various types of clustering methods,which try to obtain a complete and consensus clustering result from a latent subspace,have been developed to overcome this problem,most methods excessively rely on views-public instances to bridge the connection with view-private instances.When lacking sufficient views-public instances,existing methods fail to transmit the information among incomplete views effectively.To overcome this limitation,we propose an incomplete multi-view clustering algorithm via local and global co-regularization(IMVC-LG).In this algorithm,we define a new objective function that is composed of two terms:local clustering from each view and global clustering from multiple views,which constrain each other to exploit the local clustering information from different incomplete views and determine a global consensus clustering result,respectively.Furthermore,an iterative optimization method is proposed to minimize the objective function.Finally,we compare the proposed algorithm with other state-of-the-art incomplete multi-view clustering methods on several benchmark datasets to illustrate its effectiveness. | Jiye LIANG Xiaolin LIU Liang BAI Fuyuan CAO Dianhui WANG | 2022 | Science China(Information Sciences)2022，65，5： | 1 |
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