Contribution Rate of Agricultural Informationization to Growth of Agricultural Economy in Hubei Province and Its Influencing Factors

Agricultural informationization is the objective demand for transforming the traditional agriculture and promoting the development of agricultural modernization. Using the statistical data of the gross agricultural output value of Hubei Province in 2005-2014,based on the C-D production function,it calculated the average contribution rate(2. 48%) of agricultural informationization to the growth of agricultural economy in Hubei Province,indicating that agricultural informationization can promote growth of agricultural economy. This is basically consistent with previous findings. In addition,investment in agricultural informationization and broadband access rate also influenced the growth of agricultural economy in Hubei Province. Therefore,government should further improve the infrastructure of agricultural informationization,strengthen training of farmers’ information skills,establish auxiliary mechanism for achievement feedback of information-based agricultural production,increase the contribution rate of informationization to agricultural operation and management,promote the contribution of informationization to the growth of agricultural economy,so as to increase agricultural income of farmers.

Vertical structure of predictability and information transport over the Northern Hemisphere

Based on nonlinear prediction and information theory, vertical heterogeneity of predictability and information loss rate in geopotential height field are obtained over the Northern Hemisphere. On a seasonal-to-interannual time scale, the predictability is low in the lower troposphere and high in the mid-upper troposphere. However, within mid-upper troposphere over the subtropics ocean area, there is a relatively poor predictability. These conclusions also fit the seasonal time scale. Moving to the interannual time scale, the predictability becomes high in the lower troposphere and low in the mid-upper troposphere, contrary to the former case. On the whole the interannual trend is more predictable than the seasonal trend. The average information loss rate is low over the mid-east Pacific, west of North America, Atlantic and Eurasia, and the atmosphere over other places has a relatively high information loss rate on all-time scales. Two channels are found steadily over the Pacific Ocean and Atlantic Ocean in subtropics. There are also unstable channels. The four- season influence on predictability and information communication are studied. The predictability is low, no matter which season data are removed and each season plays an important role in the existence of the channels, except for the winter. The predictability and teleconnections are paramount issues in atmospheric science, and the teleconnections may be established by communication channels. So, this work is interesting since it reveals the vertical structure of predictability distribution, channel locations, and the contributions of different time scales to them and their variations under different seasons.

Achievable information rate optimization in C‑band optical fber communication system

Optical fber communication networks play an important role in the global telecommunication network.However,nonlinear efects in the optical fber and transceiver noise greatly limit the performance of fber communication systems.In this paper,the product of mutual information(MI)and communication bandwidth is used as the metric of the achievable information rate(AIR).The MI loss caused by the transceiver is also considered in this work,and the bit-wise MI,generalized mutual information(GMI),is used to calculate the AIR.This loss is more signifcant in the use of higher-order modulation formats.The AIR analysis is carried out in the QPSK,16QAM,64QAM and 256QAM modulation formats for the communication systems with diferent communication bandwidths and transmission distances based on the enhanced Gaussian noise(EGN)model.The paper provides suggestions for the selection of the optimal modulation format in diferent transmission scenarios.

信息化透明监管干预模式对耐碳青霉烯肺炎克雷伯菌医院感染的防控效果

目的 探讨信息化透明监管干预模式对控制耐碳青霉烯类肺炎克雷伯菌(CCRKP)医院感染的应用效果。方法 将2020年1—12月收治的52 622例住院患者作为对照组,采取常规管理,将2021年1—12月收治的57 998例住院患者作为干预组,通过信息化透明监管模式对每日检出的医院感染监控平台预警的CRKP菌株患者实施监管,比较两组CRKP感染率、检出率、手卫生依从性及CRKP防控措施落实率。结果 干预组CRKP感染率、CRKP检出率低于对照组,差异有统计学意义(P<0.05);手卫生依从性、环境物体表面清洁、消毒合格率高于对照组,差异有统计学意义(P<0.05)。结论 基于信息化院感监控平台对CRKP感染病例进行预警、落实CRKP核心防控措施,可以有效降低CRKP在医院内感染传播,保障医疗质量和患者安全。

农业信息化对广西农业经济增长的贡献率及其影响因素分析

【目的】探索信息化助推广西农业经济增长的路径,为广西农业信息化进一步发展提供参考。【方法】基于2006-2013年的时间序列数据,采用柯布—道格拉斯（Cobb-Douglas）生产函数测算信息化对广西农业经济增长的贡献率,并分析其影响因素,从而提出相关的对策建议。【结果】信息化对广西农业经济增长具有显著的正向促进作用,其对广西农业经济增长的贡献率为56.22%,仅次于农林牧渔业投资的贡献率;但由于农业信息化投资的不稳定性,导致其对广西农业经济增长的贡献率也极不稳定。农业信息化投资、农业网站数量、计算机互联网用户数对广西农业经济增长具有正向促进作用,并在5%或10%水平上显著;每百户农户计算机年末拥有量和平均每百个劳动力中高中及以上文化劳动力对广西农业经济增长呈负向作用,并在5%或10%水平上显著。【建议】建立科学合理的农业信息化投入机制、严格农业农村信息化项目实施、根据主体性质明确农业网站分工与职责、构建新型农业信息化服务渠道、加大信息化技能培训力度,以提高信息化对广西农业经济增长的边际效益,促进广西农业增效、农民增收。

我国农业信息化贡献率测算方法实证研究

研究了农业信息化贡献率的测算方法,首先采用层次分析法构建了适合我国国情的农业信息化水平评价指标体系,并运用综合指数法测算出2007—2016年各年度的农业信息化水平指数。在此基础上,运用经济增长理论构建了加入信息化要素的C-D生产函数,通过回归分析研究了农业信息化与农业经济增长之间的相关关系,计算出近年来我国农业信息化对农业经济增长的贡献率。

如何提高中国企业ERP应用的成功率——巨化集团财务管理信息化成功之路的启示

针对中国应用ERP系统的成功率很低的严酷现实，本文理论联系实际指出了中国在推广ERP系统所存在的误区。通过巨化集团公司成功实现财务管理信息化的生动案例，总结出中国如何进行企业管理信息化建设的宝贵经验，并分析了中国实施ERP系统成功率不高的根源所在，给企业决策层以启示。

我国信息化推动工业化的状况评判及路径选择

新型工业化是21世纪提升我国国际竞争力的必然选择,其核心是以先进的信息技术改造、提升传统产业,以信息化推动工业化。论述了信息化带动新型工业化的作用机理;剖析了我国的信息化发展水平;提出了符合我国现实情况的新型工业化之路。

Coded Modulation Faster-than-Nyquist Transmission with Precoder and Channel Shortening Optimization

Faster-than-Nyquist(FTN)signaling can improve the spectrum efficiency(SE)of the transmission system.In this paper,we propose a coded modulation FTN(CM-FTN)transmission scheme with precoder and channel shortening(CS)optimization to improve bit error rate(BER)performance and reduce the complexity of FTN equalizer.In our proposal,the information rate(IR)or spectral efficiency(SE)is employed and verified as a better performance metric for CM-FTN than the minimum Euclidian distance(MED).The precoder of CM-FTN is optimized for maximizing the IR criterion using the bare-bones particle swarm optimization(BB-PSO)algorithm.Further,a three-carrier CM-FTN system model is used to capture the broadening effect of precoder.Also targeting for the IR maximization,the inter-symbol interference(ISI)length for CS is optimized to reduce the receiver complexity without performance loss.Simulation results demonstrate that our method has a 0.6dB precoding gain compared with the nonprecoding scheme and a maximum of 87.5%of the complexity of FTN equalizer is reduced without BER loss.

Square Geometrical Shaping 128QAM Based Time Domain Hybrid Modulation in Visible Light Communication System

We proposed two kinds of visible light communication(VLC)systems which respectively based on 64QAM/square geometrical shaping(SGS)128QAM time domain hybrid modulation scheme(SGSHY)and 64QAM/128QAM time domain hybrid modulation scheme(REGHY).These two systems can operate around specific forward error correction(FEC)threshold and maximize the achievable information rate(AIR)of the system.The principles of SGSHY and REGHY are proposed in detail,which has very low computation complexity compared with probabilistic shaping.The SGSHY outperforms REGHY at high peak to peak voltage(Vpp).Experimental results show that at high Vpp like 1.4V,which means the system is suffering from high nonlinear distortion,the AIR of SGSHY outperforms that of REGHY by 0.12Gb/s at the 2×10-2 FEC threshold.The AIR of the REGHY is at most 0.36Gb/s higher than that of 64QAM at 0.8V Vpp and 7%FEC threshold,while the(achievable information rate)AIR of SGSHY is at most 0.40Gb/s higher than that of 64QAM at 1.4V Vpp and 20%FEC threshold.

A novel index to evaluate discretization methods: A case study of flood susceptibility assessment based on random forest

The selection of a suitable discretization method(DM) to discretize spatially continuous variables(SCVs)is critical in ML-based natural hazard susceptibility assessment. However, few studies start to consider the influence due to the selected DMs and how to efficiently select a suitable DM for each SCV. These issues were well addressed in this study. The information loss rate(ILR), an index based on the information entropy, seems can be used to select optimal DM for each SCV. However, the ILR fails to show the actual influence of discretization because such index only considers the total amount of information of the discretized variables departing from the original SCV. Facing this issue, we propose an index, information change rate(ICR), that focuses on the changed amount of information due to the discretization based on each cell, enabling the identification of the optimal DM. We develop a case study with Random Forest(training/testing ratio of 7 : 3) to assess flood susceptibility in Wanan County, China.The area under the curve-based and susceptibility maps-based approaches were presented to compare the ILR and ICR. The results show the ICR-based optimal DMs are more rational than the ILR-based ones in both cases. Moreover, we observed the ILR values are unnaturally small(<1%), whereas the ICR values are obviously more in line with general recognition(usually 10%–30%). The above results all demonstrate the superiority of the ICR. We consider this study fills up the existing research gaps, improving the MLbased natural hazard susceptibility assessments.

The optimal information rate for graph access structures of nine participants

The information rate is an important metric of the performance of a secret-sharing scheme. In this paper we consider 272 non-isomorphic connected graph access structures with nine vertices and eight or nine edges, and either determine or bound the optimal information rate in each case. We obtain exact values for the optimal information rate for 231 cases and present a method that is able to derive information-theoretical upper bounds on the optimal information rate. Moreover, we apply some of the constructions to determine lower bounds on the information rate. Regarding information rate, we conclude with a full listing of the known optimal information rate （or bounds on the optimal information rate） for all 272 graphs access structures of nine participants.

Debiased conversion measurements based target tracking with direction cosine measurements

Phased array radar’s measurements include two direction cosine and range measurements,which can be obtained in the direction cosine coordinates.State equation of the target is nonlinear with the measurements and in order to solve the nonlinear problem,debiased conversion measurements based target tracking with direction cosine and range measurements in direction cosine coordinates named DCMKFPreDcos is proposed first in this paper,where the predicted information is introduced to calculate the converted measurement errors’statistical characteristics to eliminate the correlation between measurement noise and the converted measurement errors covariance.When range rate information can be obtained further,based on the above DCMKF-PreDcos’filtering result,the sequential filtering is adopted to process the additional range rate measurement and the DCMKF-PreDcos algorithm with extra range rate information is given.The predicted information is also introduced to calculate the involved statistical characteristics of converted measurements.The effectiveness of the proposed algorithms is shown in simulation results.

Verifiable Secret Sharing Scheme Based on the Plane Parametric Curve

Verifiable secret sharing is a special kind of secret sharing. In this paper, A secure and efficient threshold secret sharing scheme is proposed by using the plane parametric curve on the basis of the principle of secret sharing. And the performance of this threshold scheme is analyzed. The results reveal that the threshold scheme has its own advantage of one-parameter representation for a master key, and it is a perfect ideal secret sharing scheme. It can easily detect cheaters by single operation in the participants so that the probability of valid cheating is less than 1/p (where p is a large prime).

信息化和标准化管理对病案质量及DRGs入组率的影响分析

深化医药卫生体制改革以来,支付制度变化以及全行业的治理结构改变,使得国内医院管理快速由粗放经营向质量效益管理转变,病案管理模式也开始向关注质量、注重数据利用转变。通过信息化、标准化的病案管理,可以显著减少病案缺陷、快速提升病案质量,影响DRGs的入组率,实现最大程度利用病案数据,满足医院管理的需要。文章通过具体实例及取得的效果阐述了信息化和标准化管理在病案管理中的作用。

Empirical Research on Brand Spillover Effect of Agricultural Product under the Background of Product Injury Crisis

By referring to attribution theory,influence factor and internal mechanism of crisis brand generating two kinds of spillover effects are explored. In this paper,the influence mechanism on spillover effect is explored from the angles of network and industry information. Results show that high online review dispersion is easy to cause that consumer attributes the responsibility to the outside of the enterprise,while low online review dispersion is easy to cause that consumer attributes the responsibility to the inside of the enterprise; high industry base rate information is easy to cause that consumer attributes the responsibility to the outside of the enterprise,while low industry base rate information is easy to cause that consumer attributes the responsibility to the inside of the enterprise. When consumer attributes the responsibility to the outside of the enterprise,infectious network spillover is easy to occur. When consumer attributes the responsibility to the inside of the enterprise,contrast network spillover is easy to occur. Consumer's existing brand knowledge regulates the influence of online review dispersion on responsibility attribution and the influence of industry base rate information on responsibility attribution. Research result could provide effective theoretic reference and management suggestion for crisis enterprise and even whole industry responding to product injury crisis.