需求牵引课题培养材料领域研究生爱国担当之志

培养研究生爱国担当之志是研究生教育的根本,是科研育人的生动体现,是落实全国高校思想政治工作会议精神与全国研究生教育会议精神的核心。以材料领域研究生培养为例,探讨需求牵引课题激发与培养研究生爱国担当之志的路径与成效。结合自主创新研究成果与航天迫切需求,激发学生奉献与担当之志,立志为我国航天强国事业贡献青春与力量,担当时代赋予的重任。实现将科学研究与思想引领有机融合,引导学生建立主动将个人成长与国家发展和中华民族伟大复兴相结合的信念,培养学生既具有过硬材料创新本领,又具有自信、爱国、奉献、担当意识,为中国特色社会主义现代化建设培养德才兼备的材料领域创新拔尖领军人才。     

Online or Offline? Nonprofits’ Choice and Use of Social Media in Hong Kong

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Nonprofits are strategically using social media to disseminate information, engage with community, and mobilize...     

试论苯教的宗教性质及与藏区民间宗教的关系

文章主要对藏区古老的苯教的宗教属性和特征进行分析,认为在历史上,苯教作为一种宗教的名称出现时,其已经形成系统性的宗教体系,所以我们不能将之列为原始宗教。苯教一般被分为两类,即斯巴苯教与雍仲苯教。其中斯巴苯教与民间宗教有密切的关系,为藏区民间宗教的源流之一。     

礼物、关系和信任

本文试图通过关系/人情/信任三个具有本土意义的重要概念,来探讨中国社会中的礼物流动及其背后所隐含的人际意义。通过理论建构,笔者提出了一个“人际关系在送礼过程中的运作过程”模型。     

新泽西州高质量阿博特学前教育项目及其政策启示

在追求公平与质量的学前教育时代背景下,推动大型公共学前教育项目以保障弱势儿童群体的受教育权是政府的应尽责任和重要任务。当前我国公共学前教育项目正处于起步阶段,可多方借鉴有效学前教育项目的国际经验。本研究以新泽西州阿博特学前教育项目（Abbott Preschool Program）这一被公认为高效能的项目为对象,重点探讨了该项目在政策保障与政府执行、财政投入与供给模式、多层质量标准体系、高标准教师队伍以及监测系统构建等方面的核心举措,总结了该项目的中短期成效和问题反思,并结合当前我国学前教育项目的实施现状,从支持保障系统、质量提升系统、项目设计核心要素等方面提出了相应政策建议。     

略论19世纪70-90年代的中国木船业

在近代,随着外国侵略势力的到来,中国航运业受到了很大的冲击,中国古老的航运工具———木船受到了排挤。但由于各种原因,在19世纪70—90年代这段时间里中国木船业并没有走向灭亡,而是持续的向前发展。     

语境与诠释:论中国教育学的研究范式

范式在中国教育学界的理论旅行,生成了三种不同的语境.本文基于文本阐释学的"过度诠释"概念,指出了解读教育研究范式的合法性理路,分析了库恩意义上的范式和胡森意义上的范式之间的联系与区别,从而揭示出教育研究范式的理论内涵.笔者指出,在我国当前的教育研究语境下,库恩意义上的范式转换是不存在的,而胡森意义上的范式转换则是可能的 ,这有助于"教育研究范式"的意义理解和研究深化.     

Robust inference for estimating equations with nonignorably missing data based on SIR algorithm

Nonresponse is a very common phenomenon in survey sampling. Nonignorable nonresponse – that is, a response mechanism that depends on the values of the variable having nonresponse – is the most difficult type of nonresponse to handle. This article develops a robust estimation approach to estimating equations (EEs) by incorporating the modelling of nonignorably missing data, the generalized method of moments (GMM) method and the imputation of EEs via the observed data rather than the imputed missing values when some responses are subject to nonignorably missingness. Based on a particular semiparametric logistic model for nonignorable missing response, this paper proposes the modified EEs to calculate the conditional expectation under nonignorably missing data. We can apply the GMM to infer the parameters. The advantage of our method is that it replaces the non-parametric kernel-smoothing with a parametric sampling importance resampling (SIR) procedure to avoid nonparametric kernel-smoothing problems with high dimensional covariates. The proposed method is shown to be more robust than some current approaches by the simulations.     

Semiparametric regression of clustered current status data

This paper discusses regression analysis of clustered current status data under semiparametric additive hazards models. In particular, we consider the situation when cluster sizes can be informative about correlated failure times from the same cluster. To address the problem, we present estimating equation-based estimation procedures and establish asymptotic properties of the resulting estimates. Finite sample performance of the proposed method is assessed through an extensive simulation study, which indicates the procedure works well. The method is applied to a motivating data set from a lung tumorigenicity study.     

Custom Epoch Estimation for Surveys

The paper provides a method for generating epoch estimates for time series survey data, allowing for different periods of time (or even point estimates) according to user demand. The method uses a modified kriging estimator, which suppresses the contribution of sampling error variability in order to guarantee that custom epoch estimates have an interpolation property. For the veteran population variable of the American Community Survey, we utilize a simple Brownian Motion model of the population process and derive the modified kriging estimator for this case. The tuning parameters of this population model can be calibrated to the data via simple formulas. We illustrate the application of this method to the generation of point estimates of veteran population, an important objective for Veterans Affairs.