一种基于量子加密的软件定义网络南向安全防护策略

提出一种以量子加密技术为核心的软件定义网络（Software-defined Network，SDN）的南向安全防护策略，建立了基于量子密钥分发的SDN网络模型并分析了该模型下的身份认证、量子密钥分发和自适应免疫窃听流程。推导出了本策略下窃听攻击强度、用于检测窃听的量子态数目的比例α、系统发现窃听者的概率、密钥分发效率之间的定量关系。通过动态仿真分析确立了不同攻击强度下系统参数α的最优选值区间。SDN控制器可根据该仿真结果，动态地决策系统中α的取值进行自适应免疫密钥分发，实施更为精准的窃听免疫方案。     

安徽以增加知识价值为导向分配政策的实践研究

2017年10月,安徽省委省政府出台《关于实行以增加知识价值为导向分配政策的实施意见》。采取调查问卷的方式从五个方面跟踪总结了安徽省属高校院所对以增加知识价值为导向分配政策的执行情况,并对今后如何推动政策的进一步落实提出建议。     

SKU performance and distribution: A large-scale analysis of the role of product characteristics with store scanner data

This study investigates the relationship between distribution and market share across various consumer packaged goods (CPG) categories and specific stock keeping units (SKUs). The study identifies product-related characteristics that result in substantive deviations above or below market shares predicted by the distribution – market share relationship. The association of product price, brand (private label [PL] v. national brand [NB]) and pack size with above (or below) expected market share for a given distribution level is analysed. Results indicate larger pack sizes, PL and medium price levels result in market share above what would be predicted by an SKU’s distribution. This presents a source for competitive advantage in markets driven by push–pull dynamics.     

农机补贴的收入分配效应：效率、公平，抑或兼而有之*

农机补贴是具有门槛效应的效率增益政策，通常效率与公平如鱼和熊掌不可兼得。本文通过理论模型分析了农机补贴对农业生产及农村劳动力转移的影响；并通过工具变量法和中介变量法研究了农机补贴的收入分配效应及其作用机制。研究发现，农机补贴显著降低了农户收入的基尼系数，提高了收入分配公平性；其作用机制是农机补贴提升了农业生产效率，促进了农村劳动力转移，提高了打工收入，尤其是相对贫困农户，溢出效应对冲了门槛效应，使得农机补贴的收入分配效应兼具了效率和公平。     

新型抛料分配式多点卸料输送机的研发与应用

通过对比几种常用的粮食入仓多点卸料设备所存在的问题,综合考虑绿色节能、密闭环保、可靠方便等方面,本文研制了一种新型抛料分配式多点卸料输送机,在国内多个项目中得到了很好的应用。     

Factor state–space models for high-dimensional realized covariance matrices of asset returns

We propose a dynamic factor state–space model for high-dimensional covariance matrices of asset returns. It makes use of observed risk factors and assumes that the latent integrated joint covariance matrix of the assets and the factors is observed through their realized covariance matrix with a Wishart measurement density. For the latent integrated covariance matrix of the assets we impose a strict factor structure allowing for dynamic variation in the covariance matrices of the factors and the residual components as well as in the factor loadings. This factor structure translates into a factorization of the Wishart measurement density which facilitates statistical inference based on simple Bayesian MCMC procedures making the approach scalable w.r.t. the number of assets. An empirical application to realized covariance matrices for 60 NYSE traded stocks using the Fama–French factors and sector-specific factors represented by Exchange Traded Funds (ETFs) shows that the model performs very well in- and out of sample.     

Functional income distribution,capacity utilization,capital accumulation and productivity growth in Turkey: A post-Kaleckian analysis

The aim of this article is to examine the relation between functional income distribution, capacity utilization, capital accumulation and productivity in Turkey by identifying demand and overall regimes prevalent in the economy. For this purpose, we conducted an empirical analysis using different specifications of the post-Kaleckian model of Hein and Tarassow. This model defines and characterizes an overall regime by endogenizing productivity growth and integrating it into the models in this tradition. Empirical findings show that while the demand regime is wage-led, the overall regime turns out to be unstable in Turkey due to the destabilizing impact of productivity growth. This article contributes to the literature by being the first study that simultaneously identifies the demand and the overall regimes of an economy.     

Forecasting dynamic return distributions based on ordered binary choice

We present a simple approach to the forecasting of conditional probability distributions of asset returns. We work with a parsimonious specification of ordered binary choice regressions that imposes a connection on sign predictability across different quantiles. The model forecasts the future conditional probability distributions of returns quite precisely when using a past indicator and a past volatility proxy as predictors. The direct benefits of the model are revealed in an empirical application to the 29 most liquid U.S. stocks. The forecast probability distribution is translated to significant economic gains in a simple trading strategy. Our approach can also be useful in many other applications in which conditional distribution forecasts are desired.     

江西省居家养老改进模式研究

江西省已在2005年进入人口老龄化社会。江西省统计局人口变动情况抽样调查资料显示，在省内居民生活水平上升、平均预期寿命提高，以及人口生育率持续保持较低水平等因素的综合作用下，江西省人口老龄化进程持续加快。妥善解决老年人的需求，将成为实现江西崛起的关键一步。文中通过对江西省内实地调研，针对现有居家养老模式存在的缺陷，提出合理建议。     

平庄盆地含煤岩系沉积相及聚煤规律分析

运用沉积学、岩石学等,结合钻孔资料对平庄盆地含煤岩系沉积相及聚煤规律进行了分析。根据含煤岩系各种成因标志的分析研究,识别出的沉积相类型有冲积扇相、扇三角洲相、河流相、三角洲相及湖泊相。论述了各煤系沉积相类型的空间配置及不同环境的聚煤规律。