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| 1 | An overview of graphene-based hydroxyapatite composites for orthopedic applications显示文摘Hydroxyapatite(HA)is an attractive bioceramic for hard tissue repair and regeneration due to its physicochemical similarities to natural apatite.However,its low fracture toughness,poor tensile strength and weak wear resistance become major obstacles for potential clinical applications.One promising method to tackle with these problems is exploiting graphene and its derivatives(graphene oxide and reduced graphene oxide)as nanoscale reinforcement fillers to fabricate graphene-based hydroxyapatite composites in the form of powders,coatings and scaffolds.The last few years witnessed increasing numbers of studies on the preparation,mechanical and biological evaluations of these novel materials.Herein,various preparation techniques,mechanical behaviors and toughen mechanism,the in vitro/in vivo biocompatible analysis,antibacterial properties of the graphene-based HA composites are presented in this review. | Ming Li Pan Xiong Feng Yan Sijie Li Changhong Ren Zhichen Yin Ang Li Huafang Li Xunming Ji Yufeng Zheng Yan Cheng | 2018 | Bioactive Materials2018，3，1： | 9 |
| 2 | DANMEL:A manually curated reference database for analyzing mobile genetic elements associated with bacterial drug resistance显示文摘Impact statement We have developed a manually curated online reference database,DANMEL(http://124.239.252.254/danmel/),that addresses the lack of accurate dissection and annotation of the genetic structures of mobile genetic elements(MGEs)with genes for drug resistance.DANMEL contains accurately annotated and genetically dissected reference MGEs covering 5 categories and 135 subcategories/subfamilies of MGEs.Further,DANMEL provides a detailed guide on how to precisely annotate MGEs.DANMEL also provides SEARCH/BLAST functions to facilitate finding reference MGEs.Overall,DANMEL will aid researchers to conduct in-depth genetic analysis of sequenced bacterial MGEs with drug-resistance genes and further facilitate a better understanding of bacterial MGEs associated with drug resistance at a genomic level. | Peng Wang Xiaoyuan Jiang Kai Mu Ying Jing Zhe Yin Yujun Cui Cuidan Li Xinhua Luo Fangzhou Chen Ting Yu Zhichen Zhu Yansong Sun Fei Chen Dongsheng Zhou | 2022 | mLife2022，1，4： | 1 |
| 3 | Pulsar candidate selection using ensemble networks for FAST drift-scan survey显示文摘The Commensal Radio Astronomy Five-hundred-meter Aperture Spherical radio Telescope(FAST) Survey(CRAFTS) utilizes the novel drift-scan commensal survey mode of FAST and can generate billions of pulsar candidate signals. The human experts are not likely to thoroughly examine these signals, and various machine sorting methods are used to aid the classification of the FAST candidates. In this study, we propose a new ensemble classification system for pulsar candidates. This system denotes the further development of the pulsar image-based classification system(PICS), which was used in the Arecibo Telescope pulsar survey, and has been retrained and customized for the FAST drift-scan survey. In this study, we designed a residual network model comprising 15 layers to replace the convolutional neural networks(CNNs) in PICS. The results of this study demonstrate that the new model can sort >96% of real pulsars to belong the top 1% of all candidates and classify >1.6 million candidates per day using a dual-GPU and 24-core computer. This increased speed and efficiency can help to facilitate real-time or quasi-real-time processing of the pulsar-search data stream obtained from CRAFTS. In addition, we have published the labeled FAST data used in this study online, which can aid in the development of new deep learning techniques for performing pulsar searches. | HongFeng Wang WeiWei Zhu Ping Guo Di Li SiBo Feng Qian Yin ChenChen Miao ZhenZhao Tao ZhiChen Pan Pei Wang Xin Zheng XiaoDan Deng ZhiJie Liu XiaoYao Xie XuHong Yu ShanPing You Hui Zhang FAST Collaboration | 2019 | Science China(Physics,Mechanics & Astronomy)2019，62，5： | 0 |
| 4 | The Analyses of Globular Cluster Pulsars and Their Detection Efficiency显示文摘Up to 2022 November,267 pulsars had been discovered in 36 globular clusters(GCs).In this paper,we present our studies on the distribution of GC pulsar parameters and the detection efficiency.The power law relation between average dispersion measure(■)and dispersion measure difference(ΔDM)of known pulsars in GCs is lgΔDM∝1.52lg■.The sensitivity could be the key to finding more pulsars.As a result,several years after the construction of a large radio telescope facility,the number of known GC pulsars will likely be increased accordingly.We suggest that currently GCs in the southern hemisphere could have higher possibilities for finding new pulsars. | De-Jiang Yin Li-Yun Zhang Bao-Da Li Ming-Hui Li Lei Qian Zhichen Pan | 2023 | Research in Astronomy and Astrophysics2023，23，5： | 0 |
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