Cu-Ce(La)OX变换催化剂的制备和性能考察

本文对采用共沉淀法制备的Cu-Ce(La)Ox高温变换催化剂进行了研究．首先研究了中和pH值、中和温度、焙烧温度和方式对催化剂性能的影响，其次研究了CuO、CeO2和LaOx含量对催化剂性能的影响．5％CuO-CeO2-La(10％)Ox高温变换催化剂的最佳制备工艺条件为pH=11，中和温度为54℃，400C焙烧4h．催化剂的最佳配比组成为：CuO为20％、CeO2 70％、LaOx 10％．XRD晶相分析表明，5％Cu-Ce-La(10％)Ox催化剂中除了主相CeO2以外，还出现了Cu与La形成的钙钛矿型复合氧化物CuLaO2，且CuLaO2高度均匀地分散在主相CeOx中．还原态中除了CeO2、CuLaO2外，还出现了Cu单质，因此这类催化剂的活性中心不可能是简单的CuLaO2或Cu，从而使催化剂无论氧化态还是还原态都具有基本相同的活性，其活性位形态结构需要进一步研究．     

ROBUST METHODS FOR DEPENDENT CELL PEDIGREE DATA

This paper studies a robust approach to the analysis of cell pedigree data, building on the work of Huggins & Marschner (1991) which discussed M-estimation for the so-called bifurcating autoregressive process. The study allows for incomplete observation of the pedigree, and incorporates the possibility of additive effects outliers, as discussed in the time series literature. Some properties of the proposed estimation procedure are studied, including a Monte Carlo investigation of robustness in the presence of contamination.     

EXCEL的广泛应用

EXCEL电子表格处理数据的功能强大,应用简单且广泛,本文用两个例子具体阐述了EXCEL两个方面的功能。     

神经干细胞体外诱导分化的研究进展

神经干细胞是近年来脑科学研究的热点,其自我更新和多向分化的潜能为中枢神经系统疾病的治疗提供了可能,但如何使神经干细胞向特定的方向分化却一直是研究的难点。本文对神经干细胞体外的诱导分化因素及分化过程中的相关蛋白质组的研究做一综述。     

冻结保存对黏附细胞超微结构的影响

黏附细胞的超微结构包括细胞骨架（cytoskeleton）、细胞黏附点（focal adhesion，FA）及细胞间连接（gap junction，GJ）．保持细胞超微结构的完整，对复温后细胞的存活率及细胞功能是至关重要的．实验发现，冻结到一196℃后，部分F肌动蛋白被切断、卷曲，且扩展面积与细胞成活率随温度降低呈现相似的下降趋势；冻结后蛋白质vinculin（FA）和Cx-43（GJ）的数量分别下降到对照组的22％及10％左右．综述了冻结过程对细胞超微结构影响的研究现状，分析了目前的研究所存在的问题与不足，提出了实时观察活细胞超微结构的方法，并给出了初步的结果．     

一类多项式零点问题的证明

多项式零点问题的证明,已见于若干学报或教材．其方法可谓多种多样,但显复杂．本文先将Rolle定理加以推广,称之为“广义Rolle定理”,然后借助于该定理,证明一类著名的多项式零点值问题．     

行政诉讼履行法定职责实体判决论——以“尹荷玲案”为核心

“司法审查有限原则”是行政诉讼法的基本原则,这导致了“履行法定职责实体判决”存在争议。“尹荷玲案”不但证成了履行法定职责实体判决存在的正当性,而且明确了该判决适用的“双阶要件”,即“理由具备、事实清楚、法律规定明确”的一般要件,与“法效果唯一性”的特别要件。其中“法效果唯一性”分为两种情况:一是羁束行政行为,二是行政裁量收缩为零,这恰与《行政诉讼法》修改后“给付判决”与“履行判决”的规定相契合。纵观司法实践,重做判决、履行判决、给付判决形成了“程序性判决—提示性判决—履行法定职责实体判决”3种判决方式,体现了三者功能的相似性。作为实质化解争议的履行法定职责实体判决,也彰显了司法推动制度发展的功能。     

Marginal zero-inflated regression models for count data

Data sets with excess zeroes are frequently analyzed in many disciplines. A common framework used to analyze such data is the zero-inflated (ZI) regression model. It mixes a degenerate distribution with point mass at zero with a non-degenerate distribution. The estimates from ZI models quantify the effects of covariates on the means of latent random variables, which are often not the quantities of primary interest. Recently, marginal zero-inflated Poisson (MZIP; Long et al. [A marginalized zero-inflated Poisson regression model with overall exposure effects. Stat. Med. 33 (2014), pp. 5151–5165]) and negative binomial (MZINB; Preisser et al., 2016) models have been introduced that model the mean response directly. These models yield covariate effects that have simple interpretations that are, for many applications, more appealing than those available from ZI regression. This paper outlines a general framework for marginal zero-inflated models where the latent distribution is a member of the exponential dispersion family, focusing on common distributions for count data. In particular, our discussion includes the marginal zero-inflated binomial (MZIB) model, which has not been discussed previously. The details of maximum likelihood estimation via the EM algorithm are presented and the properties of the estimators as well as Wald and likelihood ratio-based inference are examined via simulation. Two examples presented illustrate the advantages of MZIP, MZINB, and MZIB models for practical data analysis.     

Conditional Akaike Information Criteria for a Class of Poisson Mixture Models with Random Effects

Focusing on the model selection problems in the family of Poisson mixture models (including the Poisson mixture regression model with random effects and zero‐inflated Poisson regression model with random effects), the current paper derives two conditional Akaike information criteria. The criteria are the unbiased estimators of the conditional Akaike information based on the conditional log‐likelihood and the conditional Akaike information based on the joint log‐likelihood, respectively. The derivation is free from the specific parametric assumptions about the conditional mean of the true data‐generating model and applies to different types of estimation methods. Additionally, the derivation is not based on the asymptotic argument. Simulations show that the proposed criteria have promising estimation accuracy. In addition, it is found that the criterion based on the conditional log‐likelihood demonstrates good model selection performance under different scenarios. Two sets of real data are used to illustrate the proposed method.     

文艺学美学方法论视角下的电视新闻节目研究

从1958 年北京电视台开播,我国电视新闻正式诞生到现在,已经过去了57 年的时间。在这57 年的时间中,中国的电视 新闻事业得到了跨越性的发展。从最初的黑白电视到彩色画面;从只能节目录播到全程直播;从只有几个单独的电视台到现 在的电视新闻传输的全覆盖。尤其是90 年代后,随着现代科技的发展、新兴的数字技术给电视新闻传播带来了巨大的影响。 人们对于新闻节目的制作质量要求越来越高,但是电视新闻节目的质量却良莠不齐,所以如何吸收借鉴各行各业的优秀精华, 不断提升电视新闻节目的质量,带给观众美的享受,则是新闻工作者的不懈追求。而文艺学美学方法论中的诸多内容,都对电 视新闻节目的研究大有裨益