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国内互联网可得饮酒相关网页调查分析 认领
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作者 张平兰 沈兴蓉 +1 位作者 冯瑞 王德斌 《泰山医学院学报》 CAS 2020年第2期81-84,共4页
目的分析国内中文网络饮酒信息的特征与规律,为更好了解虚拟环境下个体饮酒相关认识、更好地开展饮酒相关干预(特别是网络+干预)提供有益的线索。方法先以“饮酒”为检索词,通过百度搜索2005—2017年全部可得网页;再人工逐条阅读网页内... 目的分析国内中文网络饮酒信息的特征与规律,为更好了解虚拟环境下个体饮酒相关认识、更好地开展饮酒相关干预(特别是网络+干预)提供有益的线索。方法先以“饮酒”为检索词,通过百度搜索2005—2017年全部可得网页;再人工逐条阅读网页内容并按照事先设定好的过录表格提取数据;最后运用频数统计、词云图、主题网络关系图分析所得饮酒相关数据。结果围绕饮酒坏处、饮酒好处、饮酒禁忌和饮酒危害防护四个领域中提及最多的主题词分别是:伤害大脑、预防心血管病、空腹饮酒、牛奶醒酒;四个领域主题词网络图均可见明显的“分类聚集”的特征。结论虚拟空间饮酒相关信息呈现时限性强及良莠不齐的特点,且具有明显的认知导向性;基于网页的控制饮酒咨询教育需注意运用这些特性。 展开更多
关键词 饮酒 网络 词云图 主题词网络图
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PC遥控蓝牙无线通信的设计与实现 认领
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作者 马学伟 《信息与电脑》 2020年第4期191-192,198共3页
在信息时代,蓝牙是一种典型的无线通信技术,广泛运用于个人区域网中,具有低成本、低功耗的优点,备受社会大众喜爱。然而,蓝牙技术并不是完美无缺的,还存在需改进与优化的地方。基于此,笔者结合自身专业知识与经验,深入探讨了PC遥控蓝牙... 在信息时代,蓝牙是一种典型的无线通信技术,广泛运用于个人区域网中,具有低成本、低功耗的优点,备受社会大众喜爱。然而,蓝牙技术并不是完美无缺的,还存在需改进与优化的地方。基于此,笔者结合自身专业知识与经验,深入探讨了PC遥控蓝牙无线通信的设计与实现。 展开更多
关键词 无线通讯 网络 蓝牙 自组织网络
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Different response of bacterial community to the changes of nutrients and pollutants in sediments from an urban river network 认领
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作者 Fang Zhang Hao Zhang +6 位作者 Ying Yuan Dun Liu Chenyu Zhu Di Zheng Guanghe Li Yuquan Wei Dan Sun 《环境科学与工程前沿(英文)》 SCIE EI CAS CSCD 2020年第2期161-172,共12页
Microbial communities in sediment are an important indicator linking to environmental pollution in urban river systems.However,how the diversity and structure of bacterial communities in sediments from an urban river ... Microbial communities in sediment are an important indicator linking to environmental pollution in urban river systems.However,how the diversity and structure of bacterial communities in sediments from an urban river network respond to different environmental factors has not been well studied.The goal of this study was to understand the patterns of bacterial communities in sediments from a highly dense urbanized river network in the lower Yangtze River Delta by Illumina MiSeq sequencing.The correlations between bacterial communities,the environmental gradient and geographical distance were analyzed by redundancy analysis(RDA)and network methods.The diversity and richness of bacterial community in sediments increased from upstream to downstream consistently with the accumulation of nutrient in the urban river network.Bacterial community composition and structure showed obvious spatial changes,leading to two distinct groups,which were significantly related to the characteristics of nutrient and heavy metal in sediments.Humic substance,available nitrogen,available phosphorus,Zn,Cu,Hg and As were selected as the key environmental factors shaping the bacterial community in sediments based on RDA.The co-occurrence patterns of bacterial networks showed that positive interaction between bacterial communities increased but the connectivity among bacterial genera and stability of sediment ecosystem reduced under a higher content of nutrient and heavy metal in average.The sensitive and ubiquitous taxa with an overproportional response to key environmental factors were detected as indicator species,which provided a novel method for the prediction of the pollution risk of sediment in an urban river network. 展开更多
关键词 SEDIMENT Urban river network Bacterial community Network analysis Indicator species
Psychosis in Parkinson’s disease and parkinsonism in antipsychotic-naive schizophrenia spectrum psychosis:clinical,nosological and pathobiological challenges 认领
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作者 John L.Waddington 《中国药理学报:英文版》 SCIE CAS CSCD 2020年第4期464-470,共7页
Following the formulation of operational criteria for the diagnosis of psychosis in Parkinson’s disease,a neurodegenerative disorder,the past decade has seen increasing interest in such nonmotor psychopathology that ... Following the formulation of operational criteria for the diagnosis of psychosis in Parkinson’s disease,a neurodegenerative disorder,the past decade has seen increasing interest in such nonmotor psychopathology that appears to be independent of dopaminergic therapy.Similarly,there has been a resurgence of interest in motor aspects of the neurodevelopmental disorder of schizophrenia,including spontaneous parkinsonism that appears to be independent of antipsychotic treatment.This reviewfirst addresses the clinical and nosological challenges of these superficially paradoxical insights and then considers pathobiological challenges.It proposes that diverse modes of disturbance to one or more element(s)in a cortical-striatal-thalamocortical neuronal network,whether neurodegenerative or neurodevelopmental,can result in movement disorder,psychosis or both.It then proposes that time-and site-dependent dysfunction in such a neuronal network may be a generic substrate for the emergence of psychosis not only in Parkinson’s disease and schizophrenia-spectrum disorders but also in other neuropsychiatric disorders in which psychosis,and sometimes movement disorders,can be encountered;these include substance abuse,cerebrovascular disease,cerebral trauma,cerebral neoplasia,epilepsy,Huntington’s disease,frontotemporal dementia,Alzheimer’s disease and multiple sclerosis. 展开更多
关键词 Parkinson’s disease PSYCHOSIS schizophrenia parkinsonian movement disorder cortical-striatal-thalamocortical network neuronal network dysfunction
Network Protocol Recognition Based on Convolutional Neural Network 认领
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作者 Wenbo Feng Zheng Hong +3 位作者 Lifa Wu Menglin Fu Yihao Li Peihong Lin 《中国通信:英文版》 SCIE CSCD 2020年第4期125-139,共15页
How to correctly acquire the appropriate features is a primary problem in network protocol recognition field.Aiming to avoid the trouble of artificially extracting features in traditional methods and improve recogniti... How to correctly acquire the appropriate features is a primary problem in network protocol recognition field.Aiming to avoid the trouble of artificially extracting features in traditional methods and improve recognition accuracy,a network protocol recognition method based on Convolutional Neural Network(CNN)is proposed.The method utilizes deep learning technique,and it processes network flows automatically.Firstly,normalization is performed on the intercepted network flows and they are mapped into two-dimensional matrix which will be used as the input of CNN.Then,an improved classification model named Ptr CNN is built,which can automatically extract the appropriate features of network protocols.Finally,the classification model is trained to recognize the network protocols.The proposed approach is compared with several machine learning methods.Experimental results show that the tailored CNN can not only improve protocol recognition accuracy but also ensure the fast convergence of classification model and reduce the classification time. 展开更多
关键词 convolutional neural network protocol recognition network flow classification model
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A Study on Scale Free Social Network Evolution Model with Degree Exponent < 2 认领
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作者 LI Zhenpeng TANG Xijin 《系统科学与复杂性学报:英文版》 SCIE EI CSCD 2020年第1期87-99,共13页
Inspired by real world phenomena,in this paper,the authors present a power law evolutional network model with degree exponentβ<2.Combinatorial probabilistic method is applied to the theoretical analysis of the pre... Inspired by real world phenomena,in this paper,the authors present a power law evolutional network model with degree exponentβ<2.Combinatorial probabilistic method is applied to the theoretical analysis of the presented model.In the proposed model,each time stamp the number of links among a newly added node and old ones follows Poisson distribution with parameterλand selection probability p.The authors derive exact analytical relationship between the exponent of the power lawβ,the parametersλand p.Simulation result is consistent with the exponentβanalytical solution.Both theoretical analysis and simulation results show that the presented network evolution model has two obvious real world social network characteristics,degree exponentβ<2 and bending phenomena. 展开更多
关键词 POISSON distribution SCALE-FREE NETWORK SOCIAL NETWORK
A syntactic path-based hybrid neural network for negation scope detection 认领
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作者 Lydia LAZIB Bing QIN +2 位作者 Yanyan ZHAO Weinan ZHANG Ting LIU 《中国计算机科学前沿:英文版》 SCIE EI CSCD 2020年第1期84-94,共11页
The automatic detection of negation is a crucial task in a wide-range of natural language processing(NLP)applications,including medical data mining,relation extraction,question answering,and sentiment analysis.In this... The automatic detection of negation is a crucial task in a wide-range of natural language processing(NLP)applications,including medical data mining,relation extraction,question answering,and sentiment analysis.In this paper,we present a syntactic path-based hybrid neural network architecture,a novel approach to identify the scope of negation in a sentence.Our hybrid architecture has the particularity to capture salient information to determine whether a token is in the scope or not,without relying on any human intervention.This approach combines a bidirectional long shortterm memory(Bi-LSTM)network and a convolutional neural network(CNN).The CNN model captures relevant syntactic features between the token and the cue within the shortest syntactic path in both constituency and dependency parse trees.The Bi-LSTM learns the context representation along the sentence in both forward and backward directions.We evaluate our model on the Bioscope corpus,and get 90.82%F-score(78.31%PCS)on the abstract sub-corpus,outperforming features-dependent approaches. 展开更多
关键词 natural language processing negation scope detection convolutional neural network recurrent neural network syntactic path
Study on Cognitive Optical Network Structure and Self-optimization with the Application of Artificial Intelligence Technology 认领
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作者 Shengzhe Liang 《现代电子技术(英文)》 2020年第1期1-5,共5页
Cognitive optical network is the intermediate to combine artificial intelligence technology with network,and also the important network technology to promote network intelligence level constantly.In the paper,it analy... Cognitive optical network is the intermediate to combine artificial intelligence technology with network,and also the important network technology to promote network intelligence level constantly.In the paper,it analyzes the cognitive optical network structure with the application of artificial intelligence technology by starting from the basic conditions of cognitive network and cognitive optional network on the basis of fully understanding the connotation of cognitive network and cognitive optical network,and explores its self-governance functions,so as to better realize the self-optimization and self-configuration of network. 展开更多
关键词 Artificial intelligence technology Cognitive optical network Network structure SELF-OPTIMIZATION
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Static tainting extraction approach based on information flow graph for personally identifiable information 认领
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作者 Yi LIU Lejian LIAO Tian SONG 《中国科学:信息科学(英文版)》 SCIE EI CSCD 2020年第3期146-162,共17页
Personally identifiable information(PII) is widely used for many aspects such as network privacy leak detection, network forensics, and user portraits. Internet service providers(ISPs) and administrators are usually c... Personally identifiable information(PII) is widely used for many aspects such as network privacy leak detection, network forensics, and user portraits. Internet service providers(ISPs) and administrators are usually concerned with whether PII has been extracted during the network transmission process. However,most studies have focused on the extractions occurring on the client side and server side. This study proposes a static tainting extraction approach that automatically extracts PII from large-scale network traffic without requiring any manual work and feedback on the ISP-level network traffic. The proposed approach does not deploy any additional applications on the client side. The information flow graph is drawn via a tainting process that involves two steps: inter-domain routing and intra-domain infection that contains a constraint function(CF) to limit the "over-tainting". Compared with the existing semantic-based approach that uses network traffic from the ISP, the proposed approach performs better, with 92.37% precision and 94.04%recall. Furthermore, three methods that reduce the computing time and the memory overhead are presented herein. The number of rounds is reduced to 0.0883%, and the execution time overhead is reduced to 0.0153%of the original approach. 展开更多
关键词 personally identifiable INFORMATION NETWORK PRIVACY LEAK detection STATIC tainting NETWORK traffic analysis INFORMATION flow graph inter-domain routing intra-domain infection CONSTRAINT function
The Social Network Analysis of Techno-Economic Systems:Comparing Results Based on Binary and Weighted Networks 认领
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作者 Abdol S.Soofi Mansoureh Abdi 《Journal of Systems Science and Systems Engineering(系统科学与系统工程学报:英文版)》 SCIE EI CSCD 2020年第1期68-84,共17页
The network analysis of a technological system combines the interindustry transactions with a matrix of sectoral innovative efforts as measured by R&D investment intensity.The matrixes of interindustry transaction... The network analysis of a technological system combines the interindustry transactions with a matrix of sectoral innovative efforts as measured by R&D investment intensity.The matrixes of interindustry transactions of R&D-embodied products(innovations)are weighted matrixes where the interindustry flows measure the intensity of the innovation diffusion.In the past,studies using this approach in innovation studies have transformed weighted matrixes into binary matrixes of zero and one element where the flows less than a selected threshold value were considered to be zero and the flows greater than the threshold value were counted as one.Such matrix transformation leads to the loss of a great deal of information.In the present study,using degree and clustering coefficients for both binary direct as well as weighted direct techno-economic networks of the manufacturing sector of the German economy,we show that the binary directed network analysis is incapable of refined ranking of interindustry innovation transactions.The total degree index based on the weighted network of the German techno-economic system assigns a unique ranking to each sector,and clustering coefficients show that at least 75%of sectors in the network of Germany have two links with the other industries.However,the same indices based on the binary network are incapable of such refined ranking. 展开更多
关键词 INNOVATION NETWORK complex SYSTEMS social NETWORK analysis INNOVATION management R&D INTENSITY
某移动公司网络安全设计 认领
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作者 徐伟华 《科技创新与应用》 2020年第9期81-82,共2页
文章以某移动公司为例,通过全面系统分析主流网络安全技术及其应用,进而对其网络安全需求进行分析并设计以安全管理系统和安全技术为两层架构的立体安全防护体系来提高网络安全质量。
关键词 网络 安全解决方案 网络安全技术
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Sentiment analysis using deep learning approaches:an overview 认领
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作者 Olivier HABIMANA Yuhua LI +2 位作者 Ruixuan LI Xiwu GU Ge YU 《中国科学:信息科学(英文版)》 SCIE EI CSCD 2020年第1期17-52,共36页
Nowadays,with the increasing number of Web 2.0 tools,users generate huge amounts of data in an enormous and dynamic way.In this regard,the sentiment analysis appeared to be an important tool that allows the automation... Nowadays,with the increasing number of Web 2.0 tools,users generate huge amounts of data in an enormous and dynamic way.In this regard,the sentiment analysis appeared to be an important tool that allows the automation of getting insight from the user-generated data.Recently,deep learning approaches have been proposed for different sentiment analysis tasks and have achieved state-of-the-art results.Therefore,in order to help researchers to depict quickly the current progress as well as current issues to be addressed,in this paper,we review deep learning approaches that have been applied to various sentiment analysis tasks and their trends of development.This study also provides the performance analysis of different deep learning models on a particular dataset at the end of each sentiment analysis task.Toward the end,the review highlights current issues and hypothesized solutions to be taken into account in future work.Moreover,based on knowledge learned from previous studies,the future work subsection shows the suggestions that can be incorporated into new deep learning models to yield better performance.Suggestions include the use of bidirectional encoder representations from transformers(BERT),sentiment-specific word embedding models,cognition-based attention models,common sense knowledge,reinforcement learning,and generative adversarial networks. 展开更多
关键词 SENTIMENT analysis OPINION mining deep learning neural NETWORK natural language processing(NLP) SOCIAL NETWORK
Improving the initialization speed for long-range NRTK in network solution mode 认领
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作者 ZHANG Ming LÜJinHu +2 位作者 BAI ZhengDong LIU Hui FAN ChengCheng 《中国科学:技术科学英文版》 SCIE EI CAS CSCD 2020年第5期866-873,共8页
Initialization speed is one of the most important factors in network real time kinematic(NRTK)performance.Owing to the low correlation among the error sources of reference stations,it is difficult to fix reference sta... Initialization speed is one of the most important factors in network real time kinematic(NRTK)performance.Owing to the low correlation among the error sources of reference stations,it is difficult to fix reference station ambiguities of long-range NRTK quickly.In traditional reference stations ambiguity resolution(AR)methods,baselines are usually solved independently which is called baseline solution(BS)mode in this study.Because the correlations among baselines are not taken into consideration in ambiguities estimation,the AR speed is slow.Generally,tens of minutes or longer time is required to initialize.We propose a network solution(NS)mode approach,in which the correlations among the double-difference ambiguities(DDAs)as well as double-difference ionospheric delays(DDIDs)of different baselines are considered in estimating float ambiguity solutions.Experimental results show that the float ambiguity solutions obtained are more accurate with an improved consistency.Thus,initialization speed is significantly increased by 18%in NS mode. 展开更多
关键词 initialization speed network real time kinematic(NRTK) reference station ambiguity resolution(AR) network solution(NS)mode baseline solution(BS)mode
Crystal Structure of Baryum Dicobalt Iron (III) Three (Orthophosphate) Belonging to <i>α</i>-CrPO<SUB>4</SUB>Family 认领
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作者 Adam Bouraima Jean Jacques Anguile +3 位作者 Abderrazzak Assani Mohamed Saadi Thomas Makani Lahcen El Ammari 《无机化学期刊(英文)》 2020年第1期1-5,共5页
The new compound, BaCo2Fe(PO4)3, has been synthesized by solid state reaction. The analysis by X-ray diffraction technique showed that it crystallizes in the orthorhombic system with the space group Imma. The structur... The new compound, BaCo2Fe(PO4)3, has been synthesized by solid state reaction. The analysis by X-ray diffraction technique showed that it crystallizes in the orthorhombic system with the space group Imma. The structure is closely linked to that of α-CrPO4 type structure. In this structure, two oxygen atoms (O1, O2) are in general position and the others in special positions. The three-dimensional network of the crystal structure is made up of two types of chains running to [001] direction. The first chain is originated from two edge-sharing CoO6 octahedra leading to the formation of Co2O10 dimers that are connected to two PO4 tetrahedra by a common edge. The junction of FeO6 octahedra and PO4 tetrahedra sharing vertices allowed to built the second chain. These chains are linked together by common vertices of tetrahedra PO4 to form an open three-dimensional framework that delimits two types of tunnels parallel to [010] and [100] where the BaII cations are located. Indeed, each Barium cation is surrounded by eight oxygen atoms. 展开更多
关键词 α-CrPO4 X-Ray DIFFRACTION Network Framework TUNNELS
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Analysis on MAV/UAV cooperative combat based on complex network 认领
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作者 Jie-ru Fan Dong-guang Li +1 位作者 Ru-peng Li Yue Wang 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2020年第1期150-157,共8页
A formation model of manned/unmanned aerial vehicle(MAV/UAV) collaborative combat can qualitatively and quantitatively analyze the synergistic effects.However,there is currently no effective and appropriate model cons... A formation model of manned/unmanned aerial vehicle(MAV/UAV) collaborative combat can qualitatively and quantitatively analyze the synergistic effects.However,there is currently no effective and appropriate model construction method or theory,and research in the field of collaborative capability evaluation is basically nonexistent.According to the actual conditions of cooperative operations,a new MAV/UAV collaborative combat network model construction method based on a complex network is presented.By analyzing the characteristic parameters of the abstract network,the index system and complex network are combined.Then,a method for evaluating the synergistic effect of the cooperative combat network is developed.This method provides assistance for the verification and evaluation of MAV/UAV collaborative combat. 展开更多
关键词 Complex NETWORK Stochastic NETWORK MAV/UAV COLLABORATIVE COMBAT Evaluation
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Traffic dynamics on multilayer networks 认领
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作者 Jiexin Wu Cunlai Pu +1 位作者 Lunbo Li Guo Cao 《数字通信与网络:英文版》 2020年第1期58-63,共6页
Many real-world networks are demonstrated to either have layered network structures in themselves or interconnect with other networks,forming multilayer network structures.In this survey,we give a brief review of rece... Many real-world networks are demonstrated to either have layered network structures in themselves or interconnect with other networks,forming multilayer network structures.In this survey,we give a brief review of recent progress in traffic dynamics on multilayer networks.First,we introduce several typical multilayer network models.Then,we present some mainstream performance indicators,such as network capacity,average transmission time,etc.Moreover,we discuss some optimization strategies for improving the transmission performance.Finally,we provide some open issues that could be further explored in the future. 展开更多
关键词 MULTILAYER NETWORK TRAFFIC DYNAMICS NETWORK model ROUTING STRATEGY
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Research on construction of operation architecture based on complex network 认领
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作者 You Chen Xing Wang +2 位作者 Yuan-zhi Yang Cheng-wei Ruan Yi-peng Zhou 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2020年第1期232-241,共10页
Operation architecture plays a more important role in Network Centric Warfare(NGAV),which involves dynamic operation networks with complex properties.Thus,it is essential to investigate the operation architecture unde... Operation architecture plays a more important role in Network Centric Warfare(NGAV),which involves dynamic operation networks with complex properties.Thus,it is essential to investigate the operation architecture under the informatization condition within NCAW and find a proper network construction method to efficiently coordinate various functional modules on a particular situation,i.e.,the aerial combat.A new method integrating the physical level and functional level of NCW is proposed to establish the operation architecture,where the concept of network operation constraints unit and net constructing mechanisms are employed to avoid conflicts among different platforms.Meanwhile,we conduct simulations to assess the effectiveness and feasibility of the constructed operation architecture and analyze the influence of the network parameters. 展开更多
关键词 Operation ARCHITECTURE NETWORK centric warfare TOPOLOGY COMPLEX NETWORK
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无缝内衣智能工厂设计和布局 认领
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作者 梁佳钧 《针织工业》 北大核心 2020年第2期35-40,共6页
中国纺织服装企业传统的纺织加工模式已经不能适应目前成本的快速上涨,智能化、信息化、网络化的纺织加工必将替代传统纺织加工,这是我国纺织印染行业未来发展的必然趋势。文中主要介绍无缝内衣织造和染色智能化、信息化、网络化工厂的... 中国纺织服装企业传统的纺织加工模式已经不能适应目前成本的快速上涨,智能化、信息化、网络化的纺织加工必将替代传统纺织加工,这是我国纺织印染行业未来发展的必然趋势。文中主要介绍无缝内衣织造和染色智能化、信息化、网络化工厂的设计布局及管理,主要设计布局了织造车间智能化配送、中控系统,染色车间主要设计了自动进出产品的智能染色和烘干设备,设计布局了产品自动配送和传送、染料和助剂的自动称量和输送系统,为无缝内衣织造和染色工厂实现智能化信息化提供参考依据。 展开更多
关键词 无缝内衣 智能工厂 智能化 信息化 网络化 设计 布局
Dynamic aspects of domination networks 认领
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作者 Yu-xian LIU Ronald ROUSSEAU 《信息与电子工程前沿:英文版》 SCIE EI CSCD 2020年第4期635-648,共14页
A dynamic quantitative theory and measurement of power or dominance structures are proposed.Such power structures are represented as directed networks.A graph somewhat similar to the Lorenz curve for inequality measur... A dynamic quantitative theory and measurement of power or dominance structures are proposed.Such power structures are represented as directed networks.A graph somewhat similar to the Lorenz curve for inequality measurement is introduced.The changes in the graph resulting from network dynamics are studied.Dynamics are operationalized in terms of added nodes and links.Study of dynamic aspects of networks is essential for potential applications in many fields such as business management,politics,and social interactions.As such,we provide examples of a dominance structure in a directed,acyclic network.We calculate the change in the D-measure,which is a measure expressing the degree of dominance in a network when nodes are added to an existing simple network. 展开更多
关键词 DOMINATION Power structure DIGRAPHS Network dynamics
Beyond microbial diversity for predicting soil functions: A mini review 认领
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作者 Paolo NANNIPIERI Judith ASCHER-JENULL +3 位作者 Maria Teresa CECCHERINI Giacomo PIETRAMELLARA Giancarlo RENELLA Michael SCHLOTER 《土壤圈:英文版》 SCIE CAS CSCD 2020年第1期5-17,共13页
Since the advent of sequencing technologies,the determination of microbial diversity to predict microbial functions,which are the major determinants of soil functions,has become a major topic of interest,as evidenced ... Since the advent of sequencing technologies,the determination of microbial diversity to predict microbial functions,which are the major determinants of soil functions,has become a major topic of interest,as evidenced by the 900 publications dealing with soil metagenome published up to 2017.However,the detection of a gene in soil does not mean that the relative function is expressed,and the presence of a particular taxon does not mean that the relative functions determined in pure culture also occur in the studied soil.Another critical step is to link microbial community composition or function to the product analyzed to determine flux rates.Indeed,flux rates might not only be highly dynamic,but several metabolites can depend on different reactions,which makes the link to one process of interest difficult or even impossible.This review also discusses biases caused by sampling,storage of samples,DNA extraction and purification,sequencing(amplicon-vs.metagenome sequencing),and bioinformatic data analysis.Insights and the limits of predicting microbial interactions by network inference methods are critically discussed,and finally,future directions for a better understanding of soil functions by using measurements of microbial diversity are presented. 展开更多
关键词 cultivation-based APPROACH DNA-based APPROACH flux rate network inference method omics technology rare BIOSPHERE soil METAGENOME
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