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| 1 | Towards 6G wireless communication networks:vision,enabling technologies,and new paradigm shifts显示文摘The fifth generation(5G)wireless communication networks are being deployed worldwide from 2020 and more capabilities are in the process of being standardized,such as mass connectivity,ultra-reliability,and guaranteed low latency.However,5G will not meet all requirements of the future in 2030 and beyond,and sixth generation(6G)wireless communication networks are expected to provide global coverage,enhanced spectral/energy/cost efficiency,better intelligence level and security,etc.To meet these requirements,6G networks will rely on new enabling technologies,i.e.,air interface and transmission technologies and novel network architecture,such as waveform design,multiple access,channel coding schemes,multi-antenna technologies,network slicing,cell-free architecture,and cloud/fog/edge computing.Our vision on 6G is that it will have four new paradigm shifts.First,to satisfy the requirement of global coverage,6G will not be limited to terrestrial communication networks,which will need to be complemented with non-terrestrial networks such as satellite and unmanned aerial vehicle(UAV)communication networks,thus achieving a space-airground-sea integrated communication network.Second,all spectra will be fully explored to further increase data rates and connection density,including the sub-6GHz,millimeter wave(mmWave),terahertz(THz),and optical frequency bands.Third,facing the big datasets generated by the use of extremely heterogeneous networks,diverse communication scenarios,large numbers of antennas,wide bandwidths,and new service requirements,6G networks will enable a new range of smart applications with the aid of artificial intelligence(AI)and big data technologies.Fourth,network security will have to be strengthened when developing 6G networks.This article provides a comprehensive survey of recent advances and future trends in these four aspects.Clearly,6G with additional technical requirements beyond those of 5G will enable faster and further communications to the extent that the boundary between physical and cyber worlds disappears. | Xiaohu YOU Cheng-Xiang WANG Jie HUANG Xiqi GAO Zaichen ZHANG Mao WANG Yongming HUANG Chuan ZHANG Yanxiang JIANG Jiaheng WANG Min ZHU Bin SHENG Dongming WANG Zhiwen PAN Pengcheng ZHU Yang YANG Zening LIU Ping ZHANG Xiaofeng TAO Shaoqian LI Zhi CHEN Xinying MA Chih-Lin I Shuangfeng HAN Ke LI Chengkang PAN Zhimin ZHENG Lajos HANZO Xuemin(Sherman)SHEN Yingjie Jay GUO Zhiguo DING Harald HAAS Wen TONG Peiying ZHU Ganghua YANG Jun WANG Erik GLARSSON Hien Quoc NGO Wei HONG Haiming WANG Debin HOU Jixin CHEN Zhe CHEN Zhangcheng HAO Geoffrey Ye LI Rahim TAFAZOLLI Yue GAO HVincent POOR Gerhard P.FETTWEIS Ying-Chang LIANG | 2021 | Science China(Information Sciences)2021,64,1: | 122 |
| 2 | Mutation of kri1l causes definitive hematopoiesis failure via PERK-dependent excessive autophagy induction显示文摘 | Xiao-E Jia Ke Ma Tao Xu Lei Gao Shuang Wu Cong Fu Wenjuan Zhang Zhizhang Wang Kaiyu Liu Mei Dong Changbin Jing Chunguang Ren Zhiwei Dong Yi Chen Yi Jin Qiuhua Huang Xing Chang Min Deng Li Li Lingfei Luo Jun Zhu Yongjun Dang Hung-Chun Chang Leonard I Zon Yi Zhou Saijuan Chen Weijun Pan | 2015 | Cell Research2015,25,8: | 8 |
| 3 | BCL2 inhibits cell adhesion, spreading, and motility by enhancing actin polymerization显示文摘BCL2 最好作为多功能的 anti-apoptotic 蛋白质被知道。然而,很少在房间粘合剂和活动性事件对它的角色被知道。这里,我们证明 BCL2 可以在房间粘附的规定起一个作用,传播,并且活动性。BCL2 什么时候是在有教养的鼠科、人的房间线,传播的房间,粘附,和活动性的 overexpressed,被损害。与这些结果一致, Bcl2 的损失导致了在 Bcl2 空的老鼠观察的更高的活动性与野类型相比的胚胎的成纤维细胞(MEF ) 房间。房间粘附和活动性的 BCL2 规定的机制可以包含包含 BCL2,肌动朊,和 gelsolin 的建筑群的形成,它看起来机能上地减少 gelsolin 的切断的活动。我们观察到从 overexpressed BCL2 提高了的 MCF-7 和 NIH3T3 房间的 lysate 肌动朊聚合在在 vitro 试金没有房间。BCL2 和 F 肌动朊的共焦的 immunofluorescent 本地化在一致地传播期间证明 BCL2 的那增加的表情导致了增加的 F 肌动朊聚合。因此, BCL2 和 gelsolin 建筑群的形成(它可能包含另外的蛋白质) 看起来在房间粘附和移植的规定起一个关键作用。与癌症转移给房间活动性的确定的关联,这结果可以解释在一些肿瘤房间类型的 BCL2 的表示为什么为转移减少潜力并且与改进耐心的预后被联系。 | Hengning Ke Vandy I Parron Jeff Reece Jennifer Y Zhang Steven K Akiyama John E French | 2010 | Cell Research2010,20,4: | 3 |
| 4 | Monitoring Greenhouses Gases over China Using Space-Based Observations Monitoring Greenhouses Gases over China Using Space-Based Observations显示文摘The atmospheric carbon dioxide(CO 2)concentration has increased to more than 405 parts per million(ppm.1 ppm=10-6 m/s 2)in 2017 due to human activities such as deforestation,land-use change and burning of fossil fuels.Although there is broad scientific consensus on the damaging consequences of the change in climate associated with increasing concentrations of greenhouse gases,fossil CO 2 emissions have continued to increase in recent years mainly from rapidly developing economies and China is now the largest emitter of CO 2 generating about 30%of all emissions globally.To allow more reliable forecast of the future state of the carbon cycle and to support the efforts for mitigation greenhouse gas emissions,a better understanding of the global and regional carbon budget is needed.Space-based measurements of CO 2 can provide the necessary observations with dense coverage and sampling to provide improved constrains on of carbon fluxes and emissions.The Chinese Global Carbon Dioxide Monitoring Scientific Experimental Satellite(TanSat)was established by the National High Technology Research and Development Program of China with the main objective of monitoring atmospheric CO 2 and CO 2 fluxes at the regional and global scale.TanSat has been successfully launched in December 2016 and as part of the Dragon programme of ESA and the Ministry of Science and Technology(MOST),a team of researchers from Europe(UK and Finland)and China has evaluated early TanSat data and contrast it against data from the GOSAT mission and models.In this manuscript,we report on retrieval intercomparisons of TanSat data using two different retrieval algorithms,on validation efforts for the Eastern Asia region using GOSAT CO 2 data and first assessments of TanSat and GOSAT CO 2 data against model calculations using the GEOS-Chem model. | Hartmut BOESCH Yi LIU Paul I PALMER Johanna TAMMINEN Jasdeep S ANAND Zhaonan CAI Ke CHE Huilin CHEN Xi CHEN Liang FENG Janne HAKKARAINEN Pauli HEIKKINEN Nikoleta KALAITZI Rigel KIVI Robert PARKER Peter SOMKUTI Jing WANG Alex WEBB Dongxu YANG Lu YAO You YI | 2020 | Journal of Geodesy and Geoinformation Science2020,3,4: | 2 |
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| 10 | fTwo novel biomarkers, mesothelin and HFA, for diagnosis of ovarian carcinoma 显示文摘 | Hellstrom I Hellstrom KE | 2011 | Expert Opin Med Diagn2011,5,3: | 1 |
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