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Towards 6G wireless communication networks:vision, enabling technologies, and new paradigm shifts

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science China(information sciences) 2021年第1期64卷 5-78页

作者： 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 G.LARssON Hien Quoc NGO Wei HONG Haiming WANG Debin HOU Jixin CHEN Zhe CHEN Zhangcheng HAO Geoffrey Ye Li Rahim TAFAZOLLi Yue GAO H.Vincent POOR Gerhard P.FETTWEis Ying-Chang LiANG National Mobile Communications Research Laboratory School of Information Science and EngineeringSoutheast University Purple Mountain Laboratories shanghai institute of Fog Computing Technology (sHiFT) ShanghaiTech University Research Center for Network Communication Peng Cheng Laboratory state Key Laboratory of Networking and switching Technology Beijing University of Posts and Telecommunications National Engineering Laboratory for Mobile Network Technologies Beijing University of Posts and Telecommunications National Key Laboratory of science and Technology on Communications University of Electronic Science and Technology of China (UESTC) China Mobile Research institute school of Electronics and Computer science University of Southampton Department of Electrical and Computer Engineering University of Waterloo Global Big Data Technologies Centre (GBDTC) University of Technology Sydney school of Electrical and Electronic Engineering The University of Manchester LiFi Research and Development Centre Institute for Digital CommunicationsSchool of EngineeringThe University of Edinburgh Huawei Technologies Canada Co. Ltd. Huawei Technologies Department of Electrical Engineering (isY) Link?ping University institute of Electronics Communications & Information Technology (ECIT)Queen's University Belfast state Key Laboratory of Millimeter Waves School of Information Science and EngineeringSoutheast University school of Electrical and Computer Engineering Georgia Institute of Technology 5G innovation Centre University of Surrey Princeton University Vodafone Chair Mobile Communications systems Technische Universit?t Dresden Center for intelligent Networking and Communications (CiNC) University of Electronic Science and Technology of China (UESTC)

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 f

关键词： 6G vision network architecture air interface and transmission technologies space-air-ground-sea integrated network all spectra artificial intelligence network security

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妇女心理学

1987年

作者：舍曼(sherman J.A.) 登马克(Denmark F.L.)

来源：南通市图书馆图书汇雅图书（南通市图书馆... 评论

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孕期旅行建议

英国医学杂志中文版 2011年第4期14卷 226-231页

作者： Natasha L Hezelgrave Christopher J M Whitty Andrew H sherman Lucy C Chappell 陈扬(译) 杨孜(校) Division of Women's Health King's College London school of Medicine London SE1 7EH UK international Heath London School of Hygiene and Tropical MedicineLondon UK 北京大学第三医院妇产科

伴随着旅游增加，孕妇旅行数量也会增加。孕妇也经常会去寻求专业建议或询问孕期旅行是否安全。虽然与旅行相关的母胎病死率可以因推迟行期至产后而得以完全避免，不过有时旅行也许是必要或值得的。

关键词：旅行孕期病死率孕妇

看不见的网站-internet专业信息检索指南第一版

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丛书名： internet信息检索系列

2003年

作者：（美）C.谢尔曼（Chris sherman ）（美）G.普赖斯（Gray Price）马费成等译

武汉大学信息管理学院、武汉大学信息资源研究中心审定并推荐:本书追踪internet和许多用于查找和分享网络信息的早期工具的发展；探讨了两种主要的网络检索服务，即搜索引擎和网站目录等诸多内容。

ISBN: (纸本)753813915X

关键词：文化、科学、教育、体育信息与知识传播图书馆学、图书馆事业

来源：汇雅图书（南通市图书馆... 评论

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图神经网络驱动的交通预测技术:探索与挑战

物联网学报 2021年第4期5卷 1-16页

作者：周毅胡姝婷李伟承楠路宁沈学民河南大学河南郑州450046 西安电子科技大学陕西西安710071 加拿大女王大学加拿大金斯顿K7L 3N6 滑铁卢大学加拿大滑铁卢N2L 3G1

随着物联网及人工智能技术的快速发展,对交通数据进行精准的分析和预测成为智慧交通的首要环节。近年来,交通预测方法逐渐从经典的模型驱动转变为数据驱动,然而,如何通过大数据有效分析路网的时空特性是预测过程中面临的关键难题之一。... 详细信息

随着物联网及人工智能技术的快速发展,对交通数据进行精准的分析和预测成为智慧交通的首要环节。近年来,交通预测方法逐渐从经典的模型驱动转变为数据驱动,然而,如何通过大数据有效分析路网的时空特性是预测过程中面临的关键难题之一。时空大数据分析是交通预测的利器,将交通路网建模为图网络,将深度学习方法在图网络上进行扩展,通过图神经网络建立时空预测模型,采用图卷积的方式有效地获取路网传感器节点之间的时空相关性,可以显著提高交通预测模型的精度。针对图神经网络驱动的交通预测技术进行了探索,基于深度时空特性分析提炼了两大类交通预测模型,并通过实例进行分析和验证,探讨了图神经网络在交通预测领域的技术优势和主要挑战,挖掘了图神经网络预测机制的潜在研究方向。

关键词：交通预测图神经网络时空相关性同步卷积图注意力网络

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嫁接可增强甜椒对极端温度的耐受性

辣椒杂志 2018年第4期16卷 42-50页

作者： Moses Kwame Aidoo Tal sherman Jhonathan E. Ephrath Aaron Fait shimon Rachmilevitch Naftali Lazarovitch 胡震竺(译) 孔秋生(译) 法国农业和旱地生物技术协会本古里安大学雅各布·布劳施泰因沙漠研究所内盖夫米德希特本古里安以色列华中农业大学园艺林学学院

冬季和夏季以及昼夜温度的波动会严重影响地上部分和根系的生长,以及整个植株对极端土壤温度的耐受性。我们比较了商业辣椒杂交种(Capsicum annuum L.)(Romance,Rijk Zwaan)自嫁苗、自根苗,以及新型砧木s101砧木嫁接苗(先正达)对一系列... 详细信息

冬季和夏季以及昼夜温度的波动会严重影响地上部分和根系的生长,以及整个植株对极端土壤温度的耐受性。我们比较了商业辣椒杂交种(Capsicum annuum L.)(Romance,Rijk Zwaan)自嫁苗、自根苗,以及新型砧木s101砧木嫁接苗(先正达)对一系列土壤温度变化的响应。该砧木杂交品种育种目标是增强非生物胁迫耐受性。在冬季和夏季开展试验,材料培养在自然通风的塑料温室中,由微根管相机和根系生长箱来研究嫁接甜椒在极端温度下(低和高的空气和土壤)根系的动态发育,以及地上部分和地下部分的相互影响。在整个试验中,我们监测了土壤和空气的温度。与甜椒ROM自嫁苗和自根苗相比,在受到冬季低温、夏季高温的影响时,s101砧木嫁接甜椒苗Romance地上部分生物量变化程度更大。s101砧木中积累了Cl,同时可以更有效地将C源分配到叶、茎和根中,将N源分配到叶、茎和果实中。砧木s101的这些性状可用于提高其他辣椒品种对土壤低温和高温的耐受性,延长辣椒生长期,同时为植物育种者提供了非常有价值的信息。

关键词： DAT 移植后天数 EC,电导率 ROM Romance 杂交种

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快进的城市主义重新思考建筑与城市的关系

时代建筑 2016年第2期59卷 22-27页

作者：黛娜.卡夫罗杰.谢尔曼罗旋美国加州大学洛杉矶分校哈佛大学设计学院

结合当代城市性在经济、生态及基础设施等方面的现实状况,文章通过重新审视现代主义总体规划的利弊,以包容的、务实的姿态为建筑师、景观建筑师及规划者提出了积极的实践策略,以取代原有的与城市自身相抵触的操作方法。

关键词：建筑学城市快进的城市主义总体规划理论和实践

A unified global genotyping framework of dengue virus serotype-1 for a stratified coordinated surveillance strategy of dengue epidemics

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infectious Diseases of Poverty 2022年第5期11卷 14-29页

作者： Liqiang Li Xiang Guo Xiaoqing Zhang Lingzhai Zhao Li Li Yuji Wang Tian Xie Qingqing Yin Qinlong Jing Tian Hu Ziyao Li Rangke Wu Wei Zhao sherman Xuegang Xin Benyun shi Jiming Liu shang Xia Zhiqiang Peng Zhicong Yang Fuchun Zhang Xiao‑Guang Chen Xiaohong Zhou institute of Tropical Medicine Southern Medical UniversityGuang‑zhou 510515China Key Laboratory of Prevention and Control for Emerging infectious Diseases of Guangdong Higher institutes Guangdong Provincial Key Laboratory of Tropical Disease ResearchDepartment of Pathogen BiologySchool of Public HealthSouthern Medical UniversityGuangzhou 510515China institute of infectious Diseases Guangzhou Eighth People’s HospitalGuangzhou Medical UniversityGuangzhou 510060GuangdongChina state Key Laboratory of Organ Failure Research Guangdong Provincial Key Labora‑tory of Tropical Disease ResearchDepartment of BiostatisticsSchool of Public HealthSouthern Medical UniversityGuangzhou 510515China Guangzhou Center for Disease Control and Prevention Guangzhou 510440China school of Foreign studies Southern Medical UniversityGuangzhou 510515China BsL‑3 Laboratory(Guangdong) School of Public HealthSouthern Medical UniversityGuangzhou 510515China Laboratory of Biophysics School of MedicineSouth China University of TechnologyGuangzhou 510006China school of Computer science and Technology Nanjing Tech UniversityNan‑jing 211816China Department of Computer science Hong Kong Baptist UniversityKowloonHong Kong 999077China National institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention(Chinese Center for Tropical Diseases Research) NHC Key Laboratory of Parasite and Vector BiologyWHO Collaborating Centre for Tropical DiseasesShanghaiPeople’s Republic of China school of Global Health Chinese Center for Tropi‑cal Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai 200025China Guangdong Provincial Center for Disease Control and Prevention Guangzhou 511430China

Background: Dengue is the fastest spreading arboviral disease, posing great challenges on global public health. A reproduceable and comparable global genotyping framework for contextualizing spatiotemporal epidemiological data of dengue virus (DENV) is essential for research studies and collaborative ***: Targeting DENV-1 spreading prominently in recent decades, by reconciling all qualified complete E gene sequences of 5003 DENV-1 strains with epidemiological information from 78 epidemic countries/areas ranging from 1944 to 2018, we established and characterized a unified global high-resolution genotyping framework using phylogenetics, population genetics, phylogeography, and ***: The defined framework was discriminated with three hierarchical layers of genotype, subgenotype and clade with respective mean pairwise distances 2-6%, 0.8-2%, and ≤ 0.8%. The global epidemic patterns of DENV-1 showed strong geographic constraints representing stratified spatial-genetic epidemic pairs of Continent-Genotype, Region-subgenotype and Nation-Clade, thereby identifying 12 epidemic regions which prospectively facilitates the region-based coordination. The increasing cross-transmission trends were also demonstrated. The traditional endemic countries such as Thailand, Vietnam and indonesia displayed as persisting dominant source centers, while the emerging epidemic countries such as China, Australia, and the UsA, where dengue outbreaks were frequently triggered by importation, showed a growing trend of DENV-1 diffusion. The probably hidden epidemics were found especially in Africa and india. Then, our framework can be utilized in an accurate stratified coordinated surveillance based on the defined viral population compositions. Thereby it is prospectively valuable for further hampering the ongoing transition process of epidemic to endemic, addressing the issue of inadequate monitoring, and warning us to be concerned about the cross-national, cross

关键词： Dengue virus serotype-1(DENV-1) Molecular epidemiology Population structure Phylogeography Global genotyping framework Molecular surveillance

Mobilizing Crop Biodiversity

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Molecular Plant 2020年第10期13卷 1341-1344页

作者： susan McCouch Zahra Katy Navabi Michael Abberton Noelle L.Anglin Rosa Lia Barbieri Michael Baum Kirstin Bett Helen Booker Gerald L.Brown Glenn J.Bryan Luigi Cattivelli David Charest Kellye Eversole Marcelo Freitas Kioumars Ghamkhar Dario Grattipaglia Robert Henry Maria Cleria Valadares inglis Tofazzal islam Zakaria Kehel Paul J.Kersey Graham J.King stephen Kresovich Emily Marden sean Mayes Marie Noelle Ndjiondjiop Henry T.Nguyen samuel Rezende Paiva Roberto Papa Peter W.B.Phillips Awais Rasheed Christopher Richards Mathieu Flouard Maria Jose Amstalden sampaio Uwe scholz Paul D.shaw Brad sherman s.Evan staton Nils stein Jan svensson Mark Tester Jose Francisco Montenegro Valls Rajeev Varshney stephen Visscher Eric von Wettberg Robbie Waugh Peter Wenzl Loren H.Rieseberg Plant Breeding and Genetics School of Integrated Plant SciencesCornell UniversityIthacaNY14853USA Divseek Global Institute for Food Security110 Gymnasium PlaceUniversity of SaskatchewanSaskatoonSKS7N 0W9Canada lnternational institute of Tropical Agriculture(iiTA) PMB 5320Oyo RdIbadanNigeria international Potato Center(CiP)1895 Avenida La Molina Lima Peru 12Lima 15023Peru Embrapa Genetic Resources and Biotechnology Parque Estacjao BiologicaFinal Av W5 NorteCaixa Postal 0237270770-917-Brasilia DFBrazil international Center for Agricultural Research in the Dry Areas(i CAR DA) Station Exp.INRA-Quich.Rue Hafiane Cherkaoui.Agdal.Rabat-Instituts10111RabatMorocco Department of Plant sciences University of Saskatchewan51 Campus Dr.SaskatoonSK S7N 5A8Canada Department of Plant Agriculture University of GuelphRm 316Crop Science Bldg50 Stone Rd EGuelphON N1G 2W1Canada Genome Prairie 111 Research DriveSuite 101SaskatoonSKS7N 3R2Canada The James Hutt on institute Errol RoadInvergowrieDundeeDD25DAUK CREA Research Centre for Genomics and Bioinformaticsvia San Protaso 302Fiorenzuola d'Arda29017Italy Genome British Columbia 400-575 West 8th AvenueVancouverBCV5Z 0C4Canada international Wheat Genome sequencing Consortium 2841 NE Marywood CtLee's SummitMO.64086USA Forage science Grasslands Research CentreAgResearchPalmerston North4410New Zealand Queensla nd Alliance for Agriculture and Food inn ovation University of QueenslandBrisbaneQLD 4072Australia institute of Biotechnology and Genetic Engineering(iBGE) Bangabandhu Sheikh Mujibur Rahman Agricultural UniversityGazipur 1706Bangladesh southern Cross University PO Box 157LismoreNSW 2480Australia Royal Botanic Gardens KewRichmondSurreyTW93AEUK Feed the Future innovation Lab for Crop improvement 431 Weill HallCornell UniversityIthacaNY14853USA Department of Botany and Biodiversity Research Centre University of British ColumbiaVancouverBC V6R 2A5Canada Crops For the Future(UK)CiC 76-80 Baddow Road ChelmsfordEs

Over the past 70 years,the world has witnessed extraordinary growth in crop productivity,enabled by a suite of technological advances,including higher yielding crop varieties,improved farm management,synthetic agrochemicals,and agricultural *** this"Green Revolution"intensified crop production,and is credited with reducing famine and malnutrition,its benefits were accompanied by several undesirable collateral effects(Pingali,2012).These include a narrowing of agricultural biodiversity,stemming from increased monoculture and greater reliance on a smaller number of crops and crop varieties for the majority of our *** reduction in diversity has created vulnerabilities to pest and disease epidemics,climate variation,and ultimately to human health(Harlan,1972).

关键词： intensified crops agricultural