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Neuroimaging techniques such as magnetic resonance imaging(MRI)and positron emission tomography provide unique in vivo data to analyze structural and functional connectivity of the whole brain.Recent advances in small animal neuroimaging have opened new opportunities for the study of structure-function interactions in healthy and diseased brain networks,which are essential to develop therapies targeting network reorganization associated with functional improvement.
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In recent years,the construction of network security has been highly valued at the national level,and many laws and regulations such as Cybersecurity Law,Data Security Law,Personal Information Protection Law have been successively introduced,which means strong policy support for the development of China’s network security industry.According to the data from iiMedia Research,in 2021,the scale of China’s network information security market reached RMB 92.68 billion.With the continuous implementation of policy stimulus and technological progress,the growth scale of China’s network information security market will further expand in the future,and it is estimated that the market scale will exceed RMB 140 billion in 2023.
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Effective thermal conductivity of soils can be enhanced to achieve higher efficiencies in the operation of shallow geothermal systems.Soil cementation is a ground improvement technique that can increase the interparticle contact area,leading to a high effective thermal conductivity.However,cementation may occur at different locations in the soil matrix,i.e.interparticle contacts,evenly or unevenly around particles,in the pore space or a combination of these.The topology of cementation at the particle scale and its influence on soil response have not been studied in detail to date.Additionally,soils are made of particles with different shapes,but the impact of particle shape on the cementation and the resulting change of effective thermal conductivity require further research.In this work,three kinds of sands with different particle shapes were selected and cementation was formed either evenly around the particles,or along the direction parallel or perpendicular to that of heat transfer.The effective thermal conductivity of each sample was computed using a thermal conductance network model.Results show that dry sand with more irregular particle shape and cemented along the heat transfer direction will lead to a more efficient thermal enhancement of the soil,i.e.a comparatively higher soil effective thermal conductivity.
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Domestication and genetic improvement of maize improve yield and stress tolerance due to changes in morphological and physiological properties, which likely alter rhizosphere microbial diversity. Understanding how the evolution of maize germplasm impacts its rhizobacterial traits during the growth stage is important for optimizing plant-microbe associations and obtaining yield gain in domesticated germplasms. In this study, a total of nine accessions representing domestication and subsequent genetic improvement were selected. We then sequenced the plant DNA and rhizobacterial DNA of teosinte, landraces and inbred lines at the seedling, flowering and maturity stages in a field trial. Moreover, the soil chemical properties were determined at the respective stages to explore the associations of soil characteristics with bacterial community structures. The results showed that domestication and genetic improvement increased the rhizobacterial diversity and substantially altered the rhizobacterial community composition. The core microbiome in the rhizosphere differed among germplasm groups. The co-occurrence network analysis demonstrated that the modularity in the bacterial network of the inbred lines was greater than those of teosinte and the landraces. In conclusion, the increased diversity of the rhizobacterial community with domestication and genetic improvement may improve maize resilience to biotic stresses and soil nutrient availability to plants.
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Sentence simplification is an essential task in natural language processing and aims to simplify complex sentences while retaining their primary meanings.To date,the main research works on sentence simplification models have been based on sequence-to-sequence(Seq2Seq)models.However,these Seq2Seq models are incapable of analysing the hierarchical structure of sentences,which is of great significance for sentence simplification.The problem can be addressed with an ON-MULTI-STAGE model constructed based on the improved MULTI-STAGE encoder model.In this model,an ordered neurons network is introduced and can provide sentence-level structural infor-mation for the encoder and decoder.A weak attention connection method is then employed to make the decoder use the sentence-level structural details.Experimental results on two open data sets demonstrated that the constructed model outperforms the state-of-the-art baseline models in sentence simplification.
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Should the article be accepted and published by Agricultural Science & Technology, the author hereby grants exclusively to the editorial department of Agricultural Science & Technology the digital reproduction, distribution, compilation and information network transmission rights.
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China Telecom is writing a new chapter on the journey of enhancing China’s strength in cyberspace,building a digital China as well as maintaining cyber security.STAYING true to its mission of building the world’s largest 5G network through co-construction and sharing.
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Brassica rapa(AA,2n=20)and Raphanus sativus(RR,2n=18)are popular vegetables containing multiple secondary metabolites,such as flavonoids and anthocyanins.Nevertheless,fewstudies on miRNA expression profiles and potential regulatory network of flavonoid metabolism have been reported in the intergeneric hybrid of B.rapa and R.sativus(Brassicacoraphanus,AARR,2n=38).Here,themiRNAs of Brassicacoraphanus and its parents were first identified by small RNA sequencing.It was revealed that 315 conserved miRNAs and 193 novel miRNAs were found in Brassicacoraphanus and its parents.Moreover,the miRNA expression profiles were characterized and 204 miRNAs with differential expression were obtained.Further analysis showed that 184 miRNAs were non-additively expressed in Brassicacoraphanus.At last,the potential regulatory network of flavonoid metabolism in Brassicacoraphanus was analyzed by multi-omics data,suggesting possible roles of miR858a and miR157a in regulating flavonoid synthesis pathway in Brassicacoraphanus.Taken together,this study provides useful resources for probing globalmiRNA expression patterns in Brassicacoraphanus,which facilitates regulatory mechanism research on the biosynthesis pathway of secondary metabolites in Brassicacoraphanus.
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Guest editorial The emerging applications,suchas Augmented and Virtual Realities(AR/VR),InternetofThings(IoT),4K/8Kstreaming,raisestrongrequirementsto movecomputationfrom thecloudtotheedgestobecloser tousers.There are tremendous possibilities for the network edge,which may includeavariety ofentities,such as small datacenters,end devices,and resource-abundant network nodes.These together provide the network computation and intelligence to users.
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In the development of technology in various fields like big data analysis,data mining,big data,cloud computing,and blockchain technology,security become more constrained.Blockchain is used in providing security by encrypting the sharing of information.Blockchain is applied in the peerto-peer(P2P)network and it has a decentralized ledger.Providing security against unauthorized breaches in the distributed network is required.To detect unauthorized breaches,there are numerous techniques were developed and those techniques are inefficient and have poor data integrity.Hence,a novel technique needs to be implemented to tackle the new breaches in the distributed network.This paper,proposed a hybrid technique of two fish with a ripple consensus algorithm(TF-RC).To improve the detection time and security,this paper uses efficient transmission of data in the distributed network.The experimental analysis of TF-RC by using the metric measures of performance in terms of latency,throughput,energy efficiency and it produced better performance.
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本發(fā)明公開了一種基于Echo State Network的圖像分類方法,包括構(gòu)建網(wǎng)絡(luò)結(jié)構(gòu)、訓(xùn)練中的數(shù)據(jù)傳輸和更新、輸出訓(xùn)練和圖像分類處理的步驟,其中,儲備池的各個參數(shù)設(shè)置為:儲備池光譜半徑λ為1.25,儲備池大小Nx為2000,儲備池輸入單元的尺度IS為1,儲備池的稀疏度SD為1e?8,泄漏率α為0.15,空轉(zhuǎn)圖像數(shù)量占10%。本發(fā)明提供的基于Echo State Network的圖像分類方法,通過使用回聲狀態(tài)網(wǎng)絡(luò)(ESN)進(jìn)行圖像的分類處理,解決了卷積網(wǎng)絡(luò)在使用上復(fù)雜度高、速度較慢的問題。