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| 1 | Direct reprogramming of Sertoli cells into multipotent neural stem cells by defined factors显示文摘Multipotent 神经干细胞为房间治疗保持大诺言。到导致的 pluripotent 干细胞以及成熟神经原的成纤维细胞的 reprogramming 建议可能性没有首先建立 pluripotency,把一个严重地区分的体的房间变换成一个 multipotent 状态。这里,我们证明房间从中层导出的那 Sertoli 能直接被变换成拥有神经干细胞性质的一个 multipotent 状态。导致的神经干细胞(iNSCs ) 表示多重 NSC 特定的标记,展出类似于正常 NSC 的全球基因表示侧面,并且能够自强并且区分功能的神经原进神经胶质并且 electrophysiologically。为酷氨酸 hydroxylase (TH ) 积极的导出 iNSC 的神经原污点, γ -aminobutyric 酸,和胆碱 acetyltransferase。另外, iNSCs 能熬过并且产生跟随移植进有牙齿的回转的触处。iNSCs 的产生可以为疾病建模和再生药有重要含意。 | Chao Sheng Qinyuan Zheng Jianyu Wu Zhen Xu Libin Wang Wei Li Haijiang Zhang Xiao-Yang Zhao Lei Liu Ziwei Wang Changlong Guo Hua-Jun Wu Zhonghua Liu Liu Wang Shigang He Xiu-Jie Wang Zhiguo Chen Qi Zhou | 2012 | Cell Research2012，22，1： | 31 |
| 2 | Estimation of tropical cyclone parameters and wind fields from SAR images显示文摘The traditional method of Synthetic Aperture Radar(SAR)wind field retrieval is based on an empirical relation between the near surface winds and the normalized radar backscatter cross section to estimate wind speeds,where this relation is called the geophysical model function(GMF).However,the accuracy rapidly decreases due to the impact of rainfall on the measurement of SAR and the saturation of backscattered intensity under the condition of tropical cyclone.Because of no available instrument synchronously monitoring rain rate on the satellite platform of SAR,we have to derive the precipitation of the SAR observation time from non-simultaneous passive microwave observations of rain in combination with geostationary IR images,and then use the model of rain correction to remove the impact of rain on SAR wind field measurements.For the saturation of radar backscatter cross section in high wind speed conditions,we develop an approach to estimate tropical cyclone parameters and wind fields based on the improved Holland model and the SAR image features of tropical cyclone.To retrieve the low-to-moderate wind speed,the wind direction of tropical cyclone is estimated from the SAR image using wavelet analysis.And then the maximum wind speed and the central pressure of tropical cyclone are calculated by a least square minimization of the difference between the improved Holland model and the low-to-moderate wind speed retrieved from SAR.In addition,wind fields are estimated from the improved Holland model using the above-mentioned parameters of tropical cyclone as input.To evaluate the accuracy of our approach,the SAR images of typhoon Aere,typhoon Khanun,and hurricane Ophelia are used to estimate tropical cyclone parameters and wind fields,which are compared with the best track data and reanalyzed wind fields of the Joint Typhoon Warning Center(JTWC)and the Hurricane Research Division(HRD).The results indicate that the tropical cyclone center,maximum wind speed,and central pressure are generally consistent with the best track data,and wind fields agree well with reanalyzed data from HRD. | ZHOU Xuan YANG XiaoFeng LI ZiWei YU Yang BI HaiBo MA Sheng LI XiaoFeng | 2013 | Science China Earth Sciences2013，56，11： | 4 |
| 3 | Generation of Tripotent Neural Progenitor Cells from Rat Embryonic Stem Cells显示文摘老鼠是为药理学和生理的研究的一个珍贵模型。胚胎的茎(物件) 房间衬里的 Germline 能干的老鼠成功地被建立了,维持物件细胞的自我更新的、无差别的状态的分子的网络也好揭开。然而,很少对区别策略和这些真老鼠 pluripotent 干细胞怎么产生特定的房间类型的内在的机制被知道。这研究的目的是调查物件房间的神经区别能力。借助于一个修改过程基于 激活mitogen 的蛋白质 kinase ( MAPK )和肝糖 synthase kinase 的以前的出版物联合 3 ( GSK3 )禁止者(二个禁止者, 2i )与喂调节中等,我们成功地从物件房间获得了高质量的老鼠胚胎植物或动物身体(美国南北战争时南军士兵)然后区分了他们到 tripotent 神经祖先。这些物件导出房间的神经祖先房间(rNPCs ) 能够自我更新并且产生所有三个神经的系,包括的星形细胞, oligodendrocytes,和神经原。而且,这些导出房间的神经原染色了的物件为 -aminobutyric 酸(伽马氨基丁酸) 和酷氨酸 hydroxylase (TH ) 积极。在摘要,我们为区分物件房间到 tripotent 开发一个试验性的系统神经祖先,它可以为学习象 Parkinson 的疾病和老鼠神经系统的开发那样的许多 neurodegenerative 混乱的致病为药理学测试和一个珍贵平台提供一个强大的工具。 | Zhenkun Wang Chao Sheng Tianda Li Fei Teng Lisi Sang Fenglin Cao Ziwei Wang Wanwan Zhu Wei Li Xiaoyang Zhao Zhonghua Liu Liu Wang Qi Zhou | 2012 | Journal of Genetics and Genomics2012，39，12： | 2 |
| 4 | Melatonin decreases GSDME mediated mesothelial cell pyroptosis and prevents peritoneal fibrosis and ultrafiltration failure显示文摘Peritoneal fibrosis together with increased capillaries is the primary cause of peritoneal dialysis failure.Mesothelial cell loss is an initiating event for peritoneal fibrosis.We find that the elevated glucose concentrations in peritoneal dialysate drive mesothelial cell pyroptosis in a manner dependent on caspase-3 and Gasdermin E,driving downstream inflammatory responses,including the activation of macrophages.Moreover,pyroptosis is associated with elevated vascular endothelial growth factor A and C,two key factors in vascular angiogenesis and lymphatic vessel formation.GSDME deficiency mice are protected from high glucose induced peritoneal fibrosis and ultrafiltration failure.Application of melatonin abrogates mesothelial cell pyroptosis through a MT1R-mediated action,and successfully reduces peritoneal fibrosis and angiogenesis in an animal model while preserving dialysis efficacy.Mechanistically,melatonin treatment maintains mitochondrial integrity in mesothelial cells,meanwhile activating m TOR signaling through an increase in the glycolysis product dihydroxyacetone phosphate.These effects together with quenching free radicals by melatonin help mesothelial cells maintain a relatively stable internal environment in the face of high-glucose stress.Thus,Melatonin treatment holds some promise in preserving mesothelium integrity and in decreasing angiogenesis to protect peritoneum function in patients undergoing peritoneal dialysis. | Hongxia Ruan Xuejuan Li Lina Zhou Zihan Zheng Rulin Hua Xu Wang Yuan Wang Yujie Fan Shuwen Guo Lihua Wang Shafiq ur Rahman Ziwei Wang Yuyuan Wei Shuangyan Yu Rongzhi Zhang Qian Cheng Jie Sheng Xue Li Xiaoyan Liu Ruqiang Yuan Xiaoyan Zhang Lihong Chen Guowang Xu Youfei Guan Jing Nie Hongqiang Qin Feng Zheng | 2024 | Science China(Life Sciences)2024，67，2： | 0 |
| 5 | An investigation into high-speed train interior noise with operational transfer path analysis method显示文摘Passengers’demands for riding comfort have been getting higher and higher as the high-speed railway develops.Scientific methods to analyze the interior noise of the high-speed train are needed and the operational transfer path analysis(OTPA)method provides a theoretical basis and guidance for the noise control of the train and overcomes the shortcomings of the traditional method,which has high test efficiency and can be carried out during the working state of the targeted machine.The OTPA model is established from the aspects of“path reference point-target point”and“sound source reference point-target point”.As for the mechanism of the noise transmission path,an assumption is made that the direct sound propagation is ignored,and the symmetric sound source and the symmetric path are merged.Using the operational test data and the OTPA method,combined with the results of spherical array sound source identification,the path contribution and sound source contribution of the interior noise are analyzed,respectively,from aspects of the total value and spectrum.The results show that the OTPA conforms to the calculation results of the spherical array sound source identification.At low speed,the contribution of the floor path and the contribution of the bogie sources are dominant.When the speed is greater than 300 km/h,the contribution of the roof path is dominant.Moreover,for the carriage with a pantograph,the lifted pantograph is an obvious source.The noise from the exterior sources of the train transfer into the interior mainly through the form of structural excitation,and the contribution of air excitation is non-significant.Certain analyses of train parts provide guides for the interior noise control. | Muxiao Li Ziwei Zhu Tiesong Deng Xiaozhen Sheng | 2021 | Railway Engineering Science2021，29，1： | 0 |
| 6 | Classification of vegetative types in Changbai Mountain based on optical and microwave remote sensing data显示文摘Highly accurate vegetative type distribution information is of great significance for forestry resource monitoring and management.In order to improve the classification accuracy of forest types,Sentinel-1 and 2 data of Changbai Mountain protection development zone were selected,and combined with DEM to construct a multi-featured random forest type classification model incorporating fusing intensity,texture,spectral,vegetation index and topography information and using random forest Gini index(GI)for optimization.The overall accuracy of classification was 94.60%and the Kappa coefficient was 0.933.Comparing the classification results before and after feature optimization,it shows that feature optimization has a greater impact on the classification accuracy.Comparing the classification results of random forest,maximum likelihood method and CART decision tree under the same conditions,it shows that the random forest has a higher performance and can be applied to forestry research work such as forest resource survey and monitoring. | YANG Ying XU Mengxia LI Sheng WANG Mingchang LIU Ziwei ZHAO Shijun | 2023 | Global Geology2023，26，2： | 0 |
| 7 | Distributed Truss Computation in Dynamic Graphs显示文摘Large-scale graphs usually exhibit global sparsity with local cohesiveness,and mining the representative cohesive subgraphs is a fundamental problem in graph analysis.The k-truss is one of the most commonly studied cohesive subgraphs,in which each edge is formed in at least k 2 triangles.A critical issue in mining a k-truss lies in the computation of the trussness of each edge,which is the maximum value of k that an edge can be in a k-truss.Existing works mostly focus on truss computation in static graphs by sequential models.However,the graphs are constantly changing dynamically in the real world.We study distributed truss computation in dynamic graphs in this paper.In particular,we compute the trussness of edges based on the local nature of the k-truss in a synchronized node-centric distributed model.Iteratively decomposing the trussness of edges by relying only on local topological information is possible with the proposed distributed decomposition algorithm.Moreover,the distributed maintenance algorithm only needs to update a small amount of dynamic information to complete the computation.Extensive experiments have been conducted to show the scalability and efficiency of the proposed algorithm. | Ziwei Mo Qi Luo Dongxiao Yu Hao Sheng Jiguo Yu Xiuzhen Cheng | 2023 | Tsinghua Science and Technology2023，28，5： | 0 |
| 8 | Incident and Problem Ticket Clustering and Classification Using Deep Learning显示文摘A holistic analysis of problem and incident tickets in a real production cloud service environment is presented in this paper.By extracting different bags of words,we use principal component analysis(PCA)to examine the clustering characteristics of these tickets.Then Kmeans and latent Dirichlet allocation(LDA)are applied to show the potential clusters within this Cloud environment.The second part of our study uses a pre-trained bidirectional encoder representation from transformers(BERT)model to classify the tickets,with the goal of predicting the optimal dispatching department for a given ticket.Experimental results show that due to the unique characteristics of ticket description,pre-processing with domain knowledge turns out to be critical in both clustering and classification.Our classification model yields 86%accuracy when predicting the target dispatching department. | FENG Hailin HAN Jing HUANG Leijun SHENG Ziwei GONG Zican | 2023 | ZTE Communications2023，21，4： | 0 |
| 9 | Photodynamic Therapy Combined with Electrosurgical Resection for Recurrent Bladder Cancer显示文摘Bladder tumor is characterized by recurrent recurrence and distant metastasis,which determines the difficulty of completely curing bladder tumor.In recent years,the number of patients with bladder cancer is increasing,and the treatment of bladder cancer has become an important direction of clinical research.It is difficult to control bladder tumor by traditional therapy.Photodynamic therapy(PDT),as a new optical therapy,has gradually become the main method in clinical treatment of bladder tumor combined with transurethral resection of bladder tumor.In this paper,a patient with superficial recurrent bladder tumor was treated by photodynamic therapy combined with transurethral resection of bladder tumor.The advantages of photodynamic therapy in the treatment of bladder tumor and the selection of photosensitizer in the process of photodynamic therapy were discussed.After two recurrences,the patients chose photodynamic therapy.The tumors were resected one by one,and the wound was coagulated by roller electrode.After the drug was retained for 20 minutes,the bladder was empty.The spherical optical fiber was implanted into the bladder.The photodynamic energy was adjusted(light power 1.8 W,light time 1302 s).There was no recurrence after operation.Most bladder tumors are superficial tumors,and bladder is a cavity organ,which determines that bladder is an ideal organ for photodynamic therapy.As a targeted drug,photosensitizer is only absorbed by bladder tumor after being perfused into bladder.The photosensitizer forms reactive oxygen species through oxygen and kills tumor cells.Clinical practice has proved that PDT has its unique advantages for superficial and recurrent bladder tumors.As the first generation photosensitizer,xipofen also has selectivity in the treatment of bladder cancer. | Ziwei Xu Minhong Wu Lule Wu Xiaoxiong Hu Jianwen Sheng Yuwen Wu Huizhen Fan | 2020 | Journal of Clinical and Nursing Research2020，4，5： | 0 |
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