低渗火山岩气藏可动流体T2截止值实验研究

使用核磁共振岩样分析技术与离心实验，确定出吉林、大庆和新疆3个地区低渗火山岩气藏储层标定可动流体T2截止值的合适离心力为2.76MPa，该离心力同时也是储层可动用流体对应的下限离心力。对3个地区102块不同岩性火山岩岩芯核磁实验研究表明：低渗火山岩气藏储层可动流体T2截止值分布范围很宽，不同地区和不同岩性火山岩储层T2截止值差别很大，102块岩芯T2截止值平均值为49.31ms，大于低渗砂岩但小于碳酸盐岩储层T2截止值；低渗火山岩T2截止值随岩芯渗透率的变化差异较大，与储层孔隙空间类型及孔喉连通性等因素密切相关。3个地区火山岩储层T2截止值从大到小依次为大庆、吉林和新疆火山岩，其中大庆流纹岩T2截止值平均值最大并且分布范围最宽，新疆玄武岩和安山岩最小。     

阻沙率在沙漠公路高大沙丘段防沙体系设计中的应用

在工程防沙设计中，阻沙率和输沙强度均是确定防护类型及其宽度的重要指标。从工程实际出发，结合典型地形特征，运用实测的阻沙率指标，优化沙漠公路高大沙丘段防沙体系的设计，用理论指导实践的同时，并在实践施工中加以较好地运用，从实践效果上，以阻沙率这一风沙物理指标为依据，确定高大沙丘段的防沙设计参数，是符合实际和可行的方法。     

康雍乾廉政建设的特色及演进

康熙、雍正、乾隆三帝把廉政建设作为巩固皇权专制统治的一项重要内容,在继承明代廉政基本制度基础上,并加损益,形成了独具特色的廉政体系,有效地推动了当时社会经济的发展。康雍乾廉政建设的首要特色是"乾纲独断",维护皇权的绝对权威;康雍乾廉政建设的另一特色,在于将吏治与民生联系在一起;制度的创制和改革也是康雍乾三帝廉政建设的一道风景。     

The empirical Bayes estimators of the parameter of the Poisson distribution with a conjugate gamma prior under Stein's loss function

For the hierarchical Poisson and gamma model, we calculate the Bayes posterior estimator of the parameter of the Poisson distribution under Stein's loss function which penalizes gross overestimation and gross underestimation equally and the corresponding Posterior Expected Stein's Loss (PESL). We also obtain the Bayes posterior estimator of the parameter under the squared error loss and the corresponding PESL. Moreover, we obtain the empirical Bayes estimators of the parameter of the Poisson distribution with a conjugate gamma prior by two methods. In numerical simulations, we have illustrated: The two inequalities of the Bayes posterior estimators and the PESLs; the moment estimators and the Maximum Likelihood Estimators (MLEs) are consistent estimators of the hyperparameters; the goodness-of-fit of the model to the simulated data. The numerical results indicate that the MLEs are better than the moment estimators when estimating the hyperparameters. Finally, we exploit the attendance data on 314 high school juniors from two urban high schools to illustrate our theoretical studies.     

An Extended Single‐index Model with Missing Response at Random

An extended single‐index model is considered when responses are missing at random. A three‐step estimation procedure is developed to define an estimator for the single‐index parameter vector by a joint estimating equation. The proposed estimator is shown to be asymptotically normal. An algorithm for computing this estimator is proposed. This algorithm only involves one‐dimensional nonparametric smoothers, thereby avoiding the data sparsity problem caused by high model dimensionality. Some simulation studies are conducted to investigate the finite sample performances of the proposed estimators.     

关于高校思想政治教育与大学生就业工作的思考

艺术类院校应发挥思想政治教育的功能,帮助大学生树立正确就业观念。     

河北省高校周边文化圈建设研究

建设河北特色文化大省，实现文化大发展、大繁荣，是时代的课题。高校和地方文化各自独立发展，缺乏竞合的现状是制约河北文化发展的一个难题。高校周边文化圈建设是解决这一难题、建设文化特色大省的有效途径，河北省政府牵头，协调高校，以地方文化为主体，采取以点带面的形式，逐步实现文化圈的建设。     

Hazard rate ordering of the second-order statistics from multiple-outlier PHR samples

In this paper, we compare the hazard rate functions of the second-order statistics arising from two sets of independent multiple-outlier proportional hazard rates (PHR) samples. It is proved that the submajorization order between the sample size vectors together with the supermajorization order between the hazard rate vectors imply the hazard rate ordering between the corresponding second-order statistics from multiple-outlier PHR random variables. The results established here provide theoretical guidance both for the winner's price for the bid in the second-price reverse auction in auction theory and fail-safe system design in reliability. Some numerical examples are also provided for illustration.     

利用微信平台开展高校就业服务指导工作的思考

随着高校就业工作信息化建设的推进，微信平台成为开展就业服务指导工作的新阵地。利用微信平台开展就业服务指导工作形式新颖、便捷且吻合“90后”大学生的特点。但目前就业指导服务微信平台的全程性存在质疑、有效性存在障碍等问题，影响了它的实际效用。应当首先对微信平台的优势进行准确定位，其次要不断拓展高校就业服务指导微信平台用户数量的广度和深度，再次要提供更优质的个性化服务，以期促进高校就业服务指导微信平台有效、优质的运营。     

Nonparametric Bayesian inference for multivariate density functions using Feller priors

Multivariate density estimation plays an important role in investigating the mechanism of high-dimensional data. This article describes a nonparametric Bayesian approach to the estimation of multivariate densities. A general procedure is proposed for constructing Feller priors for multivariate densities and their theoretical properties as nonparametric priors are established. A blocked Gibbs sampling algorithm is devised to sample from the posterior of the multivariate density. A simulation study is conducted to evaluate the performance of the procedure.