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| 1 | A nowcasting model for the prediction of typhoon tracks based on a long short term memory neural network显示文摘It is of vital importance to reduce injuries and economic losses by accurate forecasts of typhoon tracks. A huge amount of typhoon observations have been accumulated by the meteorological department, however, they are yet to be adequately utilized. It is an effective method to employ machine learning to perform forecasts. A long short term memory(LSTM) neural network is trained based on the typhoon observations during 1949–2011 in China's Mainland, combined with big data and data mining technologies, and a forecast model based on machine learning for the prediction of typhoon tracks is developed. The results show that the employed algorithm produces desirable 6–24 h nowcasting of typhoon tracks with an improved precision. | GAO Song ZHAO Peng PAN Bin LI Yaru ZHOU Min XU Jiangling ZHONG Shan SHI Zhenwei | 2018 | Acta Oceanologica Sinica2018，37，5： | 17 |
| 2 | Generating Giant Membrane Vesicles from Live Cells with Preserved Cellular Properties显示文摘Biomimetic giant membrane vesicles,with size and lipid compositions comparable to cells,have been recognized as an attractive experimental alternative to living systems.Due to the similarity of their membrane structure to that of body cells,cell-derived giant plasma membrane vesicles have been used as a membrane model for studying lipid/protein behavior of plasma membranes.However,further application of biomimetic giant membrane vesicles has been hampered by the side-efects of chemical vesiculants and the utilization of osmotic bufer.We herein develop a facile strategy to derive giant membrane vesicles(GMVs)from mammalian cells in biofriendly medium with high yields.Tese GMVs preserve membrane properties and adaptability for surface modifcation and encapsulation of exogenous molecules,which would facilitate their potential biological applications.Moreover,by loading GMVs with therapeutic drugs,GMVs could be employed for drug transport to tumor cells,which represents another step forward in the biomedical application of giant membrane vesicles.Tis study highlights biocompatible GMVs with biomimicking membrane surface properties and adaptability as an ideal platform for drug delivery strategies with potential clinical applications. | Qiaoling Liu Cheng Bi Jiangling Li Xuejiao Liu Ruizi Peng Cheng Jin Yang Sun Yifan Lyu Hui Liu Huijing Wang Can Luo Weihong Tan | 2019 | Research2019，，1： | 2 |
| 3 | Effects of transcranial direct current stimulation (tDCS) for auditory hallucinations: A systematic review显示文摘 | Haibin LI Yiran WANG Jiangling JIANG Wei LI Chunbo LI | 2016 | 上海精神医学2016，28，6： | 1 |
| 4 | UV-B-induced DNA damage medi-ates expression changes of cell cycle regulatory genes in Ara-bidopsis root tips显示文摘 | JiangL Wang Y Li S S | 2011 | Planta2011，233，4： | 1 |
| 5 | Potential Mechanisms Underlying the Therapeutic Effects of Electroconvulsive Therapy显示文摘In spite of the extensive application of electroconvulsive therapy(ECT), how it works remains unclear.So far, researchers have made great efforts in figuring out the mechanisms underlying the effect of ECT treatment via determining the levels of neurotransmitters and cytokines and using genetic and epigenetic tools, as well as structural and functional neuroimaging. To help address this question and provide implications for future research, relevant clinical trials and animal experiments are reviewed. | Jiangling Jiang Jijun Wang Chunbo Li | 2017 | Neuroscience Bulletin2017，33，3： | 1 |
| 6 | 中国西南亚高山云冷杉林中大熊猫主食竹的地上生物量及其生物和非生物影响因子显示文摘作为大熊猫(Ailuropoda melanoleuca)的主食竹之一,缺苞箭竹(Fargesia denudate)广泛分布在中国西南山地云冷杉林的林下。然而,缺苞箭竹生物量及其分布的驱动因素仍不清楚。本研究基于对王朗大样地(25.2 ha)209个样方(投影面积为20 m×20 m)中的乔木层和灌木层(包括竹子等木质草本)的系统调查,探讨非生物因素(地形和土壤理化性质)和生物因素(乔木密度、乔木总胸高断面积(TBA)和灌木盖度等)对缺苞箭竹地上生物量的影响。研究结果表明,样方缺苞箭竹地上生物量平均为1.17 ton/ha,在209个调查样方中差异很大(0-4.88 ton/ha,95%置信区间)。缺苞箭竹生物量随海拔、坡度和乔木平均胸径的增加而显著增加,随乔木密度、灌木盖度和土壤pH的增加而显著降低,而与乔木TBA、坡向、土壤有机质或总氮含量无显著线性关系。随机森林模型表明,地形和生物因素对缺苞箭竹生物量的影响比土壤理化性质更大。具体来说,地形主要通过改变乔木密度和土壤理化性质来影响缺苞箭竹的生物量。本研究结果可为大熊猫的保护和亚高山云冷杉林的管理提供科学参考。 | Xinyu Xiong Jiangling Zhu Sheng Li Fan Fan Qiong Cai Suhui Ma Haojie Su Chengjun Ji Zhiyao Tang Jingyun Fang | 2022 | Journal of Plant Ecology2022，15，1： | 1 |
| 7 | Environmental heterogeneity regulates species-area relationships through the spatial distribution of species显示文摘Species-area relationships(SARs),also known as species-area curves,are fundamental scaling tools for biodiversity research.Sampling design and taxonomic groups affect the widely cited forms of species-area curves.However,the influence of sampling design and related environmental heterogeneity on SAR curves is rarely considered.Here,we investigated the SAR among different plant life forms(herbaceous plants,shrubs,and trees)in a 25.2-ha ForestGEO plot,the Wanglang Plot,in Sichuan,southwestern China,using a non-contiguous quadrat sampling method and power-law model.We compared the estimated parameters(the intercept c and the slope z)of the power-law models among different plant life forms,tested whether the SAR curve forms varied with sampling starting location,and assessed the effect of environmental heterogeneity accumulating with sampling area on curve variation.We found a wider range of variations in the SARs.The estimated c,z-values of power SAR were higher for the herbaceous plants than for the woody plants.A wider variation of SARs for the herbaceous plants than those for the woody plants.The selection of sampling starting location affected the SAR curve forms because of the roles of soil and topographic heterogeneity.We concluded that environmental heterogeneity regulates SAR curves sampled from different starting locations through spatial distribution of plant life forms.Thus,we recommend considering the design of sampling starting location when constructing SAR curves,especially in a heterogeneous habitat with unrandom distribution patterns of species. | Chenqi He Leqi Fang Xinyu Xiong Fan Fan Yangang Li Luoshu He Xiaoli Shen Sheng Li Chengjun Ji Jiangling Zhu | 2022 | Forest Ecosystems2022，9，3： | 0 |
| 8 | Activated mouse CD4+Foxp3- T cells facilitate melanoma metastasis via Qa-1-dependent suppression of NK-cell cytotoxicity显示文摘 | Xiaojuan Wang Yanyan Cui Gaoxmg Luo Qinghong Wang Jie Hu Weifeng He Jun Yuan Junyi Zhou Yan Wu Xiaofeng Sun Simon C Robson Xianchang Li Jiangling Tan Yanmeng Peng Gang Xue Linrong Lu Wenda Gao Jun Wu | 2012 | Cell Research2012，22，12： | 0 |
| 9 | Changes in carbon storages of Fagus forest ecosystems along an elevational gradient on Mt. Fanjingshan in Southwest China显示文摘森林生态系统碳库通常包括植被、土壤、凋落物与木质残体等几个组分。本研究旨在探讨中国一种重要的森林生态系统—水青冈林(Fagus L.)中这些碳库的沿海拔梯度格局变化及其驱动因子。在中国贵州省梵净山,沿海拔梯度(1095–1930 m)调查了9个水青冈林各碳库的碳储量。采用方差分解探讨了林龄、气候及其他因子对碳储量的影响,同时对梵净山与贵州和全球其他地区水青冈林的碳储量进行了比较。梵净山水青冈林生态系统碳储量在190.5–504.3 Mg C ha^(–1)之间,其主要组分包括植被碳库(33.7–73.9%)和土壤碳库(23.9–65.5%),而木质残体(0.05–3.1%)和凋落物(0.2–0.7%)对该生态系统碳储量的贡献不超过4%。随海拔升高,生态系统碳储量呈增加趋势,其中植被与木质残体碳库增加,而凋落物与土壤碳库无明显的变化趋势。对梵净山水青冈林,气候与林龄是其各组分碳储量海拔格局形成的主要原因;而对于全球水青冈林,林龄是其碳储量变化的主导因子。相比全球其他地区的水青冈林,贵州水青冈林具有较高的植被碳储量积累速率,这可能与贵州较高的降水量有关。本研究结果有助于理解中国水青冈林碳收支及其在区域碳循环中的可能作用,同时强调了林龄与气候对碳积累的重要性。 | Qiong Cai Chengjun Ji Xuli Zhou Helge Bruelheide Wenjing Fang Tianli Zheng Jiangling Zhu Lei Shi Haibo Li Jianxiao Zhu Jingyun Fang | 2020 | Journal of Plant Ecology2020，13，2： | 0 |
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