Likelihood estimation for a general class of inverse exponentiated distributions based on complete and progressively censored data

In this paper, we establish the existence and uniqueness of the maximum-likelihood estimates of the parameters of a general class of inverse exponentiated distributions based on complete as well as progressively Type-I and Type-II censored data.     

语义启动范式下显性水平对N200的影响

为探讨显性水平对N200的影响,选择高、低不同显性水平的隐喻与直义材料,采用启动词-目标词语义启动范式呈现双字词对,结果发现,高、低不同显性水平诱发的N200无差异,语义网络远、近距离的隐喻与直义材料也导致了无差异的N200.这些结果说明显性水平不影响N200,同时也证明,N200对语义加工不敏感.     

互动视角下构式压制和承继的合力机制——基于羡余否定构式“好不X”封闭语料库的研究

构式与其组构成分间的互动关系一直是构式语法关注的核心问题之一。Goldberg在构式语法理论框架中提出了动词与构式的双向互动观，但在实际论述中却过于强调构式对动词的单向压制，降低了动词义对构式生成的贡献，忽略了对构式组构成分的系统研究。以构式与其组构成分间的互动关系为视点，从构式压制与承继的辩证关系出发，进一步阐释图示构式生成是构式与组构成分在互动压制和多重承继合力作用下的结果。同时，基于封闭语料库穷尽分析汉语羡余否定构式"好不X"的特征，结果表明：构式压制与词汇压制是双向互动的；图示构式特征的形成取决于构式对其组构成分的多重动态承继；图示构式基于互动压制承继合力机制的形成。     

Generation Xers’ performance and development in midlife transition

Midlife transition is an inevitable process that every adult faces during his or her life. As Generation Xers move into middle age, the field of human resource development (HRD) should keep pace with the impact of this midlife transition on this cohort’s psychological and physical welfare and continuous development. An effective way to cope with midlife transition is to face it as an opportunity for change and self-actualization. Gender as well as physical and psychological changes are important factors in midlife transition. Organizations should understand the challenges of midlife transition and create a supportive environment for Generation Xers to cope with the changes. Specific suggestions for middle-aged Generation Xers and HRD professionals are provided in this article, as well as implications and recommendations.     

1906-1908年的郑孝胥与预备立宪公会

考虑到我国未来年度的OD分布预测中的路网构成变化、区域经济布局变动、区域经济增长速度差异等一些具有时变性和特殊性因素，采用在“四阶段法”运量预测基础上改进而成的“三阶段法”进行高速铁路短期客运量预测。首先采用组合预测模型进行趋势运量预测，然后采用多元LOGIT模型进行方式分担，最后采用弹性系数诱增模型进行诱增运量预测。以京沪高铁为例，采用“三阶段法”预测了2014年和2015年京沪高铁本线及跨线单向客流量。     

Deriving Behavior Model Parameters from Survey Data: Self‐Protective Behavior Adoption During the 2009–2010 Influenza A(H1N1) Pandemic

In this paper, we demonstrate how public opinion surveys can be designed to collect information pertinent to computational behavior modeling, and we present the results of a public opinion and behavior survey conducted during the 2009–2010 H1N1 influenza pandemic. The results are used to parameterize the Health Belief Model of individual health‐protective decision making. Survey subjects were asked questions about their perceptions of the then‐circulating influenza and attitudes towards two personal protective behaviors: vaccination and avoidance of crowds. We empirically address two important issues in applying the Health Belief Model of behavior to computational infectious disease simulation: (1) the factors dynamically influencing the states of the Health Belief Model variables and (2) the appropriateness of the Health Belief Model in describing self‐protective behavior in the context of pandemic influenza.     

Least squares estimation of varying‐coefficient hazard regression with application to breast cancer dose‐intensity data

To enhance modeling flexibility, the authors propose a nonparametric hazard regression model, for which the ordinary and weighted least squares estimation and inference procedures are studied. The proposed model does not assume any parametric specifications on the covariate effects, which is suitable for exploring the nonlinear interactions between covariates, time and some exposure variable. The authors propose the local ordinary and weighted least squares estimators for the varying‐coefficient functions and establish the corresponding asymptotic normality properties. Simulation studies are conducted to empirically examine the finite‐sample performance of the new methods, and a real data example from a recent breast cancer study is used as an illustration. The Canadian Journal of Statistics 37: 659–674; 2009 © 2009 Statistical Society of Canada     

RAILROADS AND GROWTH IN PRUSSIA

We study the effect of railroad access on urban population growth. Using GIS techniques, we match triennial population data for roughly 1,000 cities in 19th‐century Prussia to georeferenced maps of the German railroad network. We find positive short‐ and long‐term effects of having a station on urban growth for different periods during 1840–1871. Causal effects of (potentially endogenous) railroad access on city growth are identified using propensity score matching, instrumental variables, and fixed‐effects estimation techniques. Our instrument identifies exogenous variation in railroad access by constructing straight‐line corridors between nodes. Counterfactual models using pre‐railroad growth yield no evidence to support the hypothesis that railroads appeared as a consequence of a previous growth spurt.     

基于单片机的无线遥控小车研究与实现

本文介绍了一种由STC12C5A60S2单片机控制的无线遥控小车,采用控传和图传独立设计的思想,即数据收发模块进行控制和温度数据的传输,图传模块负责作业环境的图像传输.控传部分以STC12C5A60S2单片机为核心,利用NRF24L01+模块数据收发,L298N电机驱动两路直流电机,使小车完成相应动作;DS18B20负责检测温度,由小车收发模块发射,LCD1602液晶模块显示.系统采用模块化设计,结构紧凑,便于优化,且可靠性能高.