Present situation and prospects of forest ecological network in Jilin Province, China

This paper makes a brief introduction of the ecological environment, forestry achievements, and the existing questions of Jilin Province. The task of forest ecological network and eight questions demanding prompt solution were discussed based on the present situation of forestry in Jilin Province. The author also made prospects for future application of bio-technique, infor-mation technology, new material technology and nuisance-free forest health technology in forest ecological network.

Ex vivo 3D osteocyte network construction with primary murine bone cells

Osteocytes reside as three-dimensionally（3D） networked cells in the lacunocanalicular structure of bones and regulate bone and mineral homeostasis. Despite of their important regulatory roles, in vitro studies of osteocytes have been challenging because：（1） current cell lines do not sufficiently represent the phenotypic features of mature osteocytes and（2） primary cells rapidly differentiate to osteoblasts upon isolation. In this study, we used a 3D perfusion culture approach to：（1） construct the 3D cellular network of primary murine osteocytes by biomimetic assembly with microbeads and（2） reproduce ex vivo the phenotype of primary murine osteocytes, for the first time to our best knowledge. In order to enable 3D construction with a sufficient number of viable cells, we used a proliferated osteoblastic population of healthy cells outgrown from digested bone chips. The diameter of microbeads was controlled to：（1） distribute and entrap cells within the interstitial spaces between the microbeads and（2） maintain average cell-to-cell distance to be about 19 mm. The entrapped cells formed a 3D cellular network by extending and connecting their processes through openings between the microbeads. Also, with increasing culture time, the entrapped cells exhibited the characteristic gene expressions（SOST and FGF23） and nonproliferative behavior of mature osteocytes. In contrast, 2D-cultured cells continued their osteoblastic differentiation and proliferation. This 3D biomimetic approach is expected to provide a new means of：（1） studying flow-induced shear stress on the mechanotransduction function of primary osteocytes,（2） studying physiological functions of 3D-networked osteocytes with in vitro convenience,and（3） developing clinically relevant human bone disease models.

A DATA MINING METHOD BASED ON CONSTRUCTIVE NEURAL NETWORKS

In this letter,Constructive Neural Networks (CNN) is used in large-scale data mining. By introducing the principle and characteristics of CNN and pointing out its deficiencies,fuzzy theory is adopted to improve the covering algorithms. The threshold of covering algorithms is redefined. "Extended area" for test samples is built. The inference of the outlier is eliminated. Furthermore,"Sphere Neighborhood (SN)" are constructed. The membership functions of test samples are given and all of the test samples are determined accordingly. The method is used to mine large wireless monitor data (about 3×107 data points),and knowledge is found effectively.

Study on Adoption of 750 kV Voltage Class in Northwest China Power Network

This paper introduces the selection and scheme demonstration of higher voltage class in Northwest ChinaPower Network, and conclusions made by main research institutes and experts’ comments.[

Discussion on Construction of CDMA2000 1xEV-D0 Network

The research advances on 3G CDMA standards are outlined and the network architecture and networking characteristics of CD- MA2000 1x EV-DO and CDMA2000 1x EV-DV are described.Em- phasis is put on the key technical issues that may occur when China Unicom upgrades CDMA2000 1x to CDMA2000 1x EV-DO.

Research and Design of Network Management Construction Based on Mobile AGENT

The technical characters of mobile agent （MA） originated in the distributional artificial intelligence domain is introduced. A network management construction based on agent （NMCA） is then proposed. The NMCA structure features are elaborated in detail. A prototype design of NMCA is given by using the jKQML programming. The establishment of NMCA platform will be helpful to reduce the correspondence load of network management and improves the efficiency and the expansion ability of network management systems.

Multi-Zone-Wise Blockchain Based Intrusion Detection and Prevention System for IoT Environment

Blockchain merges technology with the Internet of Things(IoT)for addressing security and privacy-related issues.However,conventional blockchain suffers from scalability issues due to its linear structure,which increases the storage overhead,and Intrusion detection performed was limited with attack severity,leading to performance degradation.To overcome these issues,we proposed MZWB(Multi-Zone-Wise Blockchain)model.Initially,all the authenticated IoT nodes in the network ensure their legitimacy by using the Enhanced Blowfish Algorithm(EBA),considering several metrics.Then,the legitimately considered nodes for network construction for managing the network using Bayesian-Direct Acyclic Graph(B-DAG),which considers several metrics.The intrusion detection is performed based on two tiers.In the first tier,a Deep Convolution Neural Network(DCNN)analyzes the data packets by extracting packet flow features to classify the packets as normal,malicious,and suspicious.In the second tier,the suspicious packets are classified as normal or malicious using the Generative Adversarial Network(GAN).Finally,intrusion scenario performed reconstruction to reduce the severity of attacks in which Improved Monkey Optimization(IMO)is used for attack path discovery by considering several metrics,and the Graph cut utilized algorithm for attack scenario reconstruction(ASR).UNSW-NB15 and BoT-IoT utilized datasets for the MZWB method simulated using a Network simulator(NS-3.26).Compared with previous performance metrics such as energy consumption,storage overhead accuracy,response time,attack detection rate,precision,recall,and F-measure.The simulation result shows that the proposed MZWB method achieves high performance than existing works.

ConGCNet:Convex geometric constructive neural network for Industrial Internet of Things

The intersection of the Industrial Internet of Things(IIoT)and artificial intelligence(AI)has garnered ever-increasing attention and research interest.Nevertheless,the dilemma between the strict resource-constrained nature of IIoT devices and the extensive resource demands of AI has not yet been fully addressed with a comprehensive solution.Taking advantage of the lightweight constructive neural network(LightGCNet)in developing fast learner models for IIoT,a convex geometric constructive neural network with a low-complexity control strategy,namely,ConGCNet,is proposed in this article via convex optimization and matrix theory,which enhances the convergence rate and reduces the computational consumption in comparison with LightGCNet.Firstly,a low-complexity control strategy is proposed to reduce the computational consumption during the hidden parameters training process.Secondly,a novel output weights evaluated method based on convex optimization is proposed to guarantee the convergence rate.Finally,the universal approximation property of ConGCNet is proved by the low-complexity control strategy and convex output weights evaluated method.Simulation results,including four benchmark datasets and the real-world ore grinding process,demonstrate that ConGCNet effectively reduces computational consumption in the modelling process and improves the model’s convergence rate.

A technical review on persistent scatterer interferometry

This article focuses on reviewing the technologies of persistent scatterer interferometry （PSI）, which has been often used to monitor the deformation of Earth surface. Three critical steps in the implementation of PSI were introduced, i.e., （1） detection of persistent scatterer （PS）, （2） construction of PS network, and （3） PSI modeling and solution. Finally, the main problems and outlooks on the PSI technique are discussed and given.

Construction and Upgrade of Urban Power Grids:Achievements and Tasks

The significant achievements in construction and upgrade of China’s urban grids in the past two years and more are enumerated with respect to scale of grids, configuration of medium-and high-voltage grids, technical and localizing level of equipment, as well as social and economic benefits. At the same time, the new tasks for the year 2001 is put forth for volume of investment to be completed, projects progressing and operating benefit indexes, etc.

The 5C Model of Linguistic Creativity:Construction Grammar as a Cognitive Theory of Verbal Creativity

Creativity is a design feature of human language.This paper presents a cognitive model of verbal creativity that draws on insights from the psychological research into creativity-particularly Glaveanu's 5A model that distinguishes five crucial perspectives on a creative act(actors,audience,artefacts,actions and affordances).The paper will outline a linguistic version of this model that adopts Construction Grammar as its theoretical foundation.The resulting"5C model of constructional creativity"argues that the central elements of linguistic creativity are constructors,co-constructors,constructs,constructional blending and the constructional network.

Exploring the Pharmacological Mechanism of Danhe Granules against Hyperlipidemia by Means of Network Pharmacology and Verified by Preliminary Experiments

Objective:This study explored the multicomponent,multitarget,and multipathway mechanism of Danhe granules(DG)against hyperlipidemia through network pharmacology.The relevant targets and pathways were verified by preliminary experiments.Methods:The active components of DG were selected by TCMSP and TCMIP database,and the component-target network diagram was constructed by Cytoscape 3.7.1.The protein–protein interaction network of targets was constructed and core targets were screened out by STRING11.0 database.Metascape database and Cytoscape 3.7.1 were used to enrich the target and establish a hyperlipidemia model in Sprague-Dawley(SD)rats to detect blood lipid and oxidative stress indexes and observed pathological changes of aorta by H and E staining.Results:The results showed that a total of seven active components of DG were screened out,including quercetin,sitosterol,luteolin,kaempferol,etc.There were 127 corresponding targets,including AKT1,tumor necrosis factor,TP53,interleukin-6,RELA,vascular endothelial growth factor,superoxide dismutases,and catalase.It is mainly involved in biological processes such as drug response,regulation of apoptosis,redox reaction,and lipid reaction.There were 573 signal pathways corresponding to the target,including HIF-1 signal pathway,TNF signal pathway,VEGF signal pathway,nonalcoholic fatty liver disease,etc.The experiment verified that DG can reduce the blood lipid of SD rats by regulating the process of oxidative stress.Conclusions:This study made a preliminary study on the pharmacological mechanism of DG against hyperlipidemia and laid the foundation for the research and development of new drugs and subsequent in-depth research.

The Review of China Post's Informationizing Constructing

The article briefly introduces the three stages that China Post experienced and the circumstances of the fundamental network construction, focusing on introducing the three sorts of services based on postal comprehensive computer network＇s applicable software system ： postal financial service ; traditional service electrified ; electronic postal service. Finally the thinking for future China Post＇s informationizing constructing is put forward.

Optimal blockchain network construction methodology based on analysis of configurable components for enhancing Hyperledger Fabric performance

Presently,blockchain technology has been widely applied in various application domains such as the Internet of Things(IoT),supply chain management,healthcare,etc.So far,there has been much confusion about whether blockchain performs with scale,and admittedly,a lack of information about best practices that can improve the performance and scale.This paper proposes a novel blockchain network construction methodology to improve the performance of Hyperledger Fabric.As a highly scalable permissioned blockchain platform,Hyperledger Fabric supports a wide range of enterprise use cases from finance to governance.A comprehensive evaluation is performed by observing various configurable network components that can affect the blockchain performance.To demonstrate the significance of the proposed methodology,we set up the experiment environment for the baseline and the test network using optimized parameters,respectively.The experimental results indicate that the test network's performance is enhanced effectively compared to the baseline in transaction throughput and transaction latency.

Enhancing electromagnetic wave absorption in carbon fiber using FeS_(2)nanoparticles

Carbon-based electromagnetic wave absorbing materials(absorbers)adhered with metallic sulfide nanoparticles of good electrical conductivity attract increasing researchers’attention.In this study,on the basis of carbon fiber(C_(f))@Fe_(3)O_(4) nanocomposites obtained by the electrostatic spinning and reflow method,C_(f)@FeS_(2)nanocomposite was successfully prepared during a further hydrothermal process.The products exhibit excellent electromagnetic wave absorption performances with a minimum reflection loss(RLmin)of-54.11 dB at 2.13 mm matching thickness.At the same time,the optimal effective absorption bandwidth(EAB)value of 6.04 GHz at a thickness of 1.98 mm covers the whole Ku band,suggesting its excellent electromagnetic wave absorption performances.In addition,the interlaced network structure constructed by carbon fiber,outstanding conductivity of FeS_(2)nanoparticles,and interfacial polarization from hetero-structure play significant parts in enhancing the electromagnetic parameters and absorption performances.All these results suggest that the C_(f)@FeS_(2)nanocomposites can be taken as a new electromagnetic wave-absorbing material under their low density,simple craft,and strong absorption characteristics.

Research on Classification of Development Level in China＇s Postal Communication

in this poper the unbalance of development level in China's postal communication is discussed,classified into four types by Cluster Analysis Method, and the suggestion on postal service and postal network based on the different conditions of each type is made.