陈兴,三明市陈兴,陈兴是什么地方,陈兴辽足

WBSMDA: Within and Between Score for MiRNA-Disease Association prediction. Scientific Reports. 2016 6:21106 (SCI, 影响因子5.578, Nature旗下, 综合性期刊中科院二区, JCR 1区) . 第一作者和通讯作者 ILNCSIM: improved lncRNA functional similarity calculation model. Oncotarget. 2016 In press (SCI, 影响因子6.359 , 医学大类中科院一区, JCR 1区) . 第一作者和通讯作者 miREFRWR: a novel disease-related microRNA-environmental factor interactions prediction method. Molecular BioSystems. 2016 12(2): 624-633 (SCI, 影响因子3.21) . 独立作者 Sequence-based Prediction of Protein-Protein Interactions Using Weighted Sparse Representation Model Combined with Global Encoding. BMC Bioinformatics. 2016 In press (SCI, 影响因子 2.576,中科院二区, JCR 1区) . 通讯作者 Detection of Interactions between Proteins through Rotation Forest and Local Phase Quantization Descriptors. International Journal of Molecular Sciences. 2016 17(1): 21 (SCI, 影响因子2.862). Distributed Image Understanding with Semantic Dictionary and Semantic Expansion. Neuroputing. 2016 174:384-392 (SCI, 影响因子 2.083, JCR 1区). KATZLDA: KATZ measure for the lncRNA-disease association prediction. Scientific Reports. 2015 5:16840 (SCI, 影响因子5.578, Nature旗下, 综合性期刊中科院二区, JCR 1区). 独立作者 Predicting lncRNA-disease associations and constructing lncRNA functional similarity work based on the information of miRNA. Scientific Reports. 2015 5:13186 (SCI, 影响因子5.578, Nature旗下, 综合性期刊中科院二区, JCR 1区).独立作者 Drug–target interaction prediction: databases, web servers and putational models. Briefings in Bioinformatics. 2015 In press (SCI, 影响因子9.617, 数学与计算生物学中科院一区, JCR 1区).第一作者和通讯作者 RBMMMDA: predicting multiple types of disease-microRNA associations. Scientific Reports. 2015 5: 13877 (SCI, 影响因子5.578, Nature旗下, 综合性期刊中科院二区, JCR 1区) .第一作者和通讯作者 Constructing lncRNA functional similarity work based on lncRNA-disease associations and disease semantic similarity. Scientific Reports. 2015 5:11338 (SCI, 影响因子5.578, Nature旗下, 综合性期刊中科院二区, JCR 1区) .第一作者和通讯作者 Semi-supervised learning for potential human microRNA-disease associations inference. Scientific Reports. 2014 4:5501 (SCI, 影响因子5.078, Nature旗下，被引用18次, 综合性期刊中科院二区, JCR 1区) .第一作者和通讯作者 ASDCD: Antifungal Synergistic Drug Combination Database. PLOS ONE. 2014 9(1): e86499 (SCI, 影响因子 3.73, 被引用10次, JCR 1区).第一作者 A putational framework to infer human disease-associated long noncoding RNAs. PLOS ONE. 2014 9(1): e84408 (SCI, 影响因子 3.73, 被引用19次, JCR 1区). Large Scale Image Understanding with Non-convex Multi-task Learning. The 2014 5th International Conference on Game Theory for Networks. 2014 (Best Paper Award). Novel human lncRNA–disease association inference based on lncRNA expression profiles. Bioinformatics. 2013 29(20): 2617-2624 (SCI, 影响因子5.323, 被引用23次, 数学与计算生物学中科院一区, JCR 1区).第一作者和通讯作者 LncRNADisease: a database for long-non-coding RNA-associated diseases. Nucleic Acids Research. 2013 41(Database issue): D983-D986 (SCI, 影响因子8.026, 被引用161次,中科院二区, JCR 1区). Drug-target interaction prediction by random walk on the heterogeneous work. Molecular BioSystems.2012 8(7): 1970-1978 (SCI, 影响因子 3.825, 被引用74次, Top ten most aessed articles in June 2012, Featured in the 10% of the most highly cited articles published in the latest Impact Factor window (2011-2012)).第一作者 RWRMDA: predicting novel human microRNA–disease associations. Molecular BioSystems.2012 8(10): 2792-2798 (SCI, 影响因子 3.825, 被引用41次).第一作者 Prediction of disease-related interactions between microRNAs and environmental factors based on a semi-supervised classifier. PLoS ONE. 2012 7(8):e43425 (SCI, 影响因子 4.092, 被引用16次, JCR 1区).第一作者 A novel candidate disease genes prioritization method based on module partition and rank fusion. OMICS: A Journal of Integrative Biology.2010 14 (4):337-356 (SCI, 影响因子 3.17, 被引用15次).第一作者和通讯作者 多阶段多目标多部门应急决策模型. 系统工程理论与实践.2010 30(11):1977-1985 (EI, 影响因子 0.896, 被引用24次).第一作者和通讯作者 NRWRH for drug target prediction. The 4th International conference on putational Systems Biology, Lecture Notes in Operations Research. 2010 13:219-226 (ISTP).第一作者和通讯作者 Modularized random walk with restart for candidate disease genes prioritization.Optimization and Systems Biology. 2009 11:353-360 (ISTP).第一作者和通讯作者 2012－2013运筹学学科发展报告，中国科学技术出版社，2014

出处《宋史 · 列传》

原文初，真宗询军校勤勇者，委以方面，因语宰相曰”闻王能、魏能颇宣力公家，陈兴、张禹珪亦有声于时，才固难全，拔十得五，亦有助也。”

注释
方面一个地方的军政要职或其长官。
宣力效力；尽力。
拔十得五想选拔十个，结果只选得五个。指选拔人才不容易。谓选拔人才而得其半数。

翻译先前，宋真宗征求军队中刻苦勇敢的人，想要委以重任，于是对宰相说“听说王能、魏能对朝廷十分尽心尽力，陈兴、张禹珪也在当下很有声望，人才本来就难以全部得到，得到半数，也是有帮助了。”

求采纳，谢谢！

陈兴鸿
鸿
hóng
【名】
(形声。从鸟,江声。本义:大雁)
同本义〖swangoose〗。雁属中类似天鹅的大型种类旧时的泛称
鸿,鹄也。——《说文》
鸿渐于干。——《易·渐》
鸿雁于飞。——《诗·小雅·鸿雁》
又如:鸿冥(鸿鸟飞入苍冥);鸿飞(鸿鸟飞翔);鸿爪(比喻往事遗留的痕迹);鸿渐(鸿鸟飞翔由低处逐渐进于高位。比喻官职升迁或渐入佳境);鸿嗷(鸿鸟哀鸣,比喻灾民的悲号)
鹄。即天鹅〖swan〗
燕雀安知鸿鹄之志哉。——《史记·陈涉世家》。按,凡鸿鹄连文者即鹄也。
又如:鸿骞凤立(鸿鹄高飞,凤凰挺立。比喻超群杰出);鸿翼(天鹅的羽翼);鸿举(天鹅高飞远翔)
喻指书信〖letter〗。如:来鸿(来信);鸿稀鳞绝(比喻书信断绝);鸿信(书信);鸿便(信使)