不同质量权重评分规则下的多维招标机制设计

本文主要研究包括价格变量及非价格变量(质量)的多维招标机制设计,在Che模型评分规则的基础上引入新的参数,研究了赋予质量不同权重的第一高分和第二高分招标机制的均衡情况。研究发现,不管新参数如何变化,第一高分招标和第二高分招标是等价的。在该评分规则下,买方还可以灵活根据自己的质量偏好、设定质量门槛筛选企业。如果买方和中标企业在中标后有协调机制,则能实现共赢、社会福利的最大化。     

“中国制造 2025 ”与职业教育人才培养的新使命

在全球制造业革命性变革的背景下,“中国制造2025”不仅为我国制造业转型升级提供了行动指南,也对职业教育人才培养规模、规格、质量提出了新诉求。但目前我国职业教育人才培养结构性失调,培养模式与制造业发展实践脱节,培养体系缺乏开放性等,与“中国制造2025”发展战略存在不适应之处。因此,职业教育要不断变革人才培养策略,优化人才培养结构,构建“制造业+”融合式人才培养模式,建立开放性职业教育人才培养体系,从而承担起建设制造业强国赋予的新使命。     

论混编创作行为的实质与规制

数字网络环境下,混编创作的日渐繁盛与著作权制度的疲于应付形成了鲜明反差,更产生了混编创作是否颠覆著作权制度的正当性等诸多争议。实际上,混编创作有别于改编、汇编等传统的创作方式,涉及在先作品综合理念和表达方式的双重改变及新构成元素的有机组合。它既未改变著作权的正当性,也不能简单归为合法或侵权行为。我们可以按照分步、分类的处理思路对混编创作进行规制。首先,应修正合理使用制度,引入美国“四要素判断法”,规制不以营利为目的的混编创作行为;其次,应扩展法定许可情形,允许不经著作权人许可混编使用已经发表的作品,但应当支付相应的使用费;最后,通过自愿许可模式规制不适用合理使用和法定许可使用制度的混编创作行为。     

基于民俗仪式与符号阐释的《大傩图》补证

《大傩图》中人物极具符号性的装饰及道具所蕴含的民俗信仰因素,可以证明此图所画为仲春民间兼有驱傩、祈雨、娱乐功能的社火表演,更名为《社火图》较准确,不更名亦可。图中人物妆饰有“溪蛮”色彩,保有南方民族融合的痕迹。以执帚者为一号人物的一般说法可能有误,领队或一号人物当为蝶冠者。他们且行且吹打,滑稽搞笑,显然领队的临时掉头导致了队伍一团混乱,但此乱非真乱,抽去表象便可见队形乃呈反“S”或“龙抬头”状,属于(何意？)太极图式,具有深刻的寓意,且能最优化集中定格12个人物,如此匠心不能不令人击节。人物衣袍多着补子,而补子至明代方形成制度,故此图断代为宋值得怀疑。人物假面黑符至今仍存在于社火及戏曲脸谱中,当为我国戏曲脸谱之早期形式。     

Estimation for Partially Linear Single-index Instrumental Variables Models

In this article, we generalize the partially linear single-index models to the scenario with some endogenous covariates variables. It is well known that the estimators based on the existing methods are often inconsistent because of the endogeneity of covariates. To deal with the endogenous variables, we introduce some auxiliary instrumental variables. A three-stage estimation procedure is proposed for partially linear single-index instrumental variables models. The first stage is to obtain a linear projection of endogenous variables on a set of instrumental variables, the second stage is to estimate the link function by using local linear smoother for given constant parameters, and the last stage is to obtain the estimators of constant parameters based on the estimating equation. Asymptotic normality is established for the proposed estimators. Some simulation studies are undertaken to assess the finite sample performance of the proposed estimation procedure.     

基于局部社团结构平衡的双模符号网络链路预测研究

随着互联网产业的高速发展,双模符号网络已经成为一类常见的复杂网络,然而针对此 类网络的分析较少。本文在传统非符号网络局部社团理论和符号网络结构平衡理论的基础上,首次提出了双模符号网络下的局部社团理论。这一理论不仅考虑了符号网络中共同邻居的信息,还引入了共同邻居间存在的连接。进一步地,本文推导出符号网络中基于局部社团信息的加权平衡回路增益指数,该指标可以表示双模符号网络中用户节点和产品节点间的符号关系。为了将该指标更好地应用于双模 符号网络链路预测问题,本文提出了加权平衡回路增益分类器算法。实验结果表明,相比其他经典链路预测算法,新算法具有更好的预测能力。     

箪食瓢饮:河北涉县旱作梯田系统的饮食体系

作为中国重要农业文化遗产,河北涉县旱作梯田系统是当地居民积累生活经验、寻找生存之道,最终实现农业永续发展的智慧结晶。 本文以其核心区域王金庄村居民的日常饮食入手,意在描述梯田社会中食物从破土而出到送入口中的全过程,呈现当地在自然与文化共同作用下所形成的饮食结构和饮食习惯。 这种与自然相适应的文化模式以及由此而生的生态观念,形成了以藏粮于地、储粮于仓、节粮于口为主要内容的饮食体系,影响着当地人的行为选择,也发挥了重要的生态调节功能。     

Dose‐Response Models Incorporating Aerosol Size Dependency for Francisella tularensis

The effect of bioaerosol size was incorporated into predictive dose‐response models for the effects of inhaled aerosols of Francisella tularensis (the causative agent of tularemia) on rhesus monkeys and guinea pigs with bioaerosol diameters ranging between 1.0 and 24 μm. Aerosol‐size‐dependent models were formulated as modification of the exponential and β‐Poisson dose‐response models and model parameters were estimated using maximum likelihood methods and multiple data sets of quantal dose‐response data for which aerosol sizes of inhaled doses were known. Analysis of F. tularensis dose‐response data was best fit by an exponential dose‐response model with a power function including the particle diameter size substituting for the rate parameter k scaling the applied dose. There were differences in the pathogen's aerosol‐size‐dependence equation and models that better represent the observed dose‐response results than the estimate derived from applying the model developed by the International Commission on Radiological Protection (ICRP, 1994) that relies on differential regional lung deposition for human particle exposure.     

A method for choosing the smoothing parameter in a semi-parametric model for detecting change-points in blood flow

In a smoothing spline model with unknown change-points, the choice of the smoothing parameter strongly influences the estimation of the change-point locations and the function at the change-points. In a tumor biology example, where change-points in blood flow in response to treatment were of interest, choosing the smoothing parameter based on minimizing generalized cross-validation (GCV) gave unsatisfactory estimates of the change-points. We propose a new method, aGCV, that re-weights the residual sum of squares and generalized degrees of freedom terms from GCV. The weight is chosen to maximize the decrease in the generalized degrees of freedom as a function of the weight value, while simultaneously minimizing aGCV as a function of the smoothing parameter and the change-points. Compared with GCV, simulation studies suggest that the aGCV method yields improved estimates of the change-point and the value of the function at the change-point.