绿色供应链管理及实施策略

在分析供应链管理存在相关问题的基础上 ,提出了符合企业和社会可持续发展的绿色供应链管理。针对绿色供应链管理的具体内涵 ,从绿色设计、绿色材料和绿色营销三个方面揭示了其实质 ,探讨了我国企业实施绿色供应链管理的相关策略     

确立资本市场地位 促进整体协调发展

我国资本市场是在激烈的争论中产生和发展起来的。文章根据十六届三中全会的精神,就资本市场的地位、发展的基本原则及促进资本市场与其它市场的协调发展等问题谈一些看法。     

说"正对"

正对是骈俪文的一种对仗方式,这种对仗方式造成了上下句之间的语意重复及“合掌”现象,刘勰从根本上不赞成正对。正对又是对联主要的对仗方式之一,但是对联不允许合掌。对联的正对能够上下联并举而不合掌,互补互异才是正对最为本质的特征。     

An ADMM with continuation algorithm for non-convex SICA-penalized regression in high dimensions

The smooth integration of counting and absolute deviation (SICA) penalty has been demonstrated theoretically and practically to be effective in non-convex penalization for variable selection. However, solving the non-convex optimization problem associated with the SICA penalty when the number of variables exceeds the sample size remains to be enriched due to the singularity at the origin and the non-convexity of the SICA penalty function. In this paper, we develop an efficient and accurate alternating direction method of multipliers with continuation algorithm for solving the SICA-penalized least squares problem in high dimensions. We establish the convergence property of the proposed algorithm under some mild regularity conditions and study the corresponding Karush–Kuhn–Tucker optimality condition. A high-dimensional Bayesian information criterion is developed to select the optimal tuning parameters. We conduct extensive simulations studies to evaluate the efficiency and accuracy of the proposed algorithm, while its practical usefulness is further illustrated with a high-dimensional microarray study.     

两周金文并列连词初探

两周金文中能肯定用为并列连词者有“暨、及、雩、以、与、[虘又]（且）、而、兼、又、唯”十词。从用法看,这些词可分为三类。一类是“又”,主要连接整数和零数,多用于计时的场合;一类是“[虘又]（且）”,主要连接形容词,基本只见于四字韵文中;其余各词主要连接名词或名词性成分,表现出用法上的一致性。从出现频率看,除了“又”用例很多,“暨”略多见外,其他各词都很少见,表明两周金文中的并列连词尚处于形成发展的过程中。出现时间上,“暨、雩、以、又、唯”只见于或主要见于西周时期,“及”主要见于春秋时期,“且、而、与、兼”只见于东周时期,表现出较为明显的时间性差异。     

Variable selection approach for zero-inflated count data via adaptive lasso

This article proposes a variable selection approach for zero-inflated count data analysis based on the adaptive lasso technique. Two models including the zero-inflated Poisson and the zero-inflated negative binomial are investigated. An efficient algorithm is used to minimize the penalized log-likelihood function in an approximate manner. Both the generalized cross-validation and Bayesian information criterion procedures are employed to determine the optimal tuning parameter, and a consistent sandwich formula of standard errors for nonzero estimates is given based on local quadratic approximation. We evaluate the performance of the proposed adaptive lasso approach through extensive simulation studies, and apply it to analyze real-life data about doctor visits.     

运用和谐思维构建社会主义和谐社会

和谐思维是辩证思维的合理延伸。由于时代主题的转换,和谐思维已成为当今时代人们思维方式的理性选择。构建社会主义和谐社会需要和谐思维,需要以求同思维坚持多元兼容,以协调思维正确处理各种利益矛盾,以系统思维寻求社会的全面协调和可持续发展。     

VTR走带系统的齐次坐标变换

提出了一种分析磁带录像机(VTR)螺旋扫描走带系统设计参数、坐标计算及描述误差传递的数学方法.这种方法系统性强并有利于编程计算,已应用于本校录像系统生产技术研究院机电一体化研究室的研究工作,是空间复杂问题分析的一种有效方法.     

Laplace Error Penalty‐based Variable Selection in High Dimension

We propose the Laplace Error Penalty (LEP) function for variable selection in high‐dimensional regression. Unlike penalty functions using piecewise splines construction, the LEP is constructed as an exponential function with two tuning parameters and is infinitely differentiable everywhere except at the origin. With this construction, the LEP‐based procedure acquires extra flexibility in variable selection, admits a unified derivative formula in optimization and is able to approximate the L₀ penalty as close as possible. We show that the LEP procedure can identify relevant predictors in exponentially high‐dimensional regression with normal errors. We also establish the oracle property for the LEP estimator. Although not being convex, the LEP yields a convex penalized least squares function under mild conditions if p is no greater than n. A coordinate descent majorization‐minimization algorithm is introduced to implement the LEP procedure. In simulations and a real data analysis, the LEP methodology performs favorably among competitive procedures.     

Empirical Likelihood for Censored Linear Regression and Variable Selection

The linear regression model for right censored data, also known as the accelerated failure time model using the logarithm of survival time as the response variable, is a useful alternative to the Cox proportional hazards model. Empirical likelihood as a non‐parametric approach has been demonstrated to have many desirable merits thanks to its robustness against model misspecification. However, the linear regression model with right censored data cannot directly benefit from the empirical likelihood for inferences mainly because of dependent elements in estimating equations of the conventional approach. In this paper, we propose an empirical likelihood approach with a new estimating equation for linear regression with right censored data. A nested coordinate algorithm with majorization is used for solving the optimization problems with non‐differentiable objective function. We show that the Wilks' theorem holds for the new empirical likelihood. We also consider the variable selection problem with empirical likelihood when the number of predictors can be large. Because the new estimating equation is non‐differentiable, a quadratic approximation is applied to study the asymptotic properties of penalized empirical likelihood. We prove the oracle properties and evaluate the properties with simulated data. We apply our method to a Surveillance, Epidemiology, and End Results small intestine cancer dataset.