学前数学活动中的元认知教学行为和话语分析

元认知发展是学前儿童发展的核心之一。通过对学前教师在数学活动中的元认知教学行为和话语进行个案观察和 分析，可以发现相关教学现状不够理想，主要源于教师元认知意识及相关知识或技能不足，同时也是教学客观条件所限。     

Campylobacter QMRA: A Bayesian Estimation of Prevalence and Concentration in Retail Foods Under Clustering and Heavy Censoring

A Bayesian statistical temporal‐prevalence‐concentration model (TPCM) was built to assess the prevalence and concentration of pathogenic campylobacter species in batches of fresh chicken and turkey meat at retail. The data set was collected from Finnish grocery stores in all the seasons of the year. Observations at low concentration levels are often censored due to the limit of determination of the microbiological methods. This model utilized the potential of Bayesian methods to borrow strength from related samples in order to perform under heavy censoring. In this extreme case the majority of the observed batch‐specific concentrations was below the limit of determination. The hierarchical structure was included in the model in order to take into account the within‐batch and between‐batch variability, which may have a significant impact on the sample outcome depending on the sampling plan. Temporal changes in the prevalence of campylobacter were modeled using a Markovian time series. The proposed model is adaptable for other pathogens if the same type of data set is available. The computation of the model was performed using OpenBUGS software.     

水驱砂岩油藏孔喉结构变化的三维网络模拟

以长期水驱实验为基础，建立了等效水驱砂岩储层孔喉结构变化的三维网络模拟模型，结合三维微粒运移机制和有限差分求解方法，得到了长期水驱砂岩油藏孔喉结构变化规律：（1） 冲刷后喉道半径呈增加趋势，喉道半径变化范围变大，极小喉道半径呈微弱减小趋势；（2） 孔隙网络模型中冲刷半径扩大的孔道分布形式与原始孔隙网络结构密切相关，并非所有的大孔道都串联起来贯穿岩芯孔隙网络的两个端面，但入口端和出口端部分大孔道相互连通，形成端面上的大孔道网络群。网络模拟注水结果结合采油井测试，可为注水剖面的调整提供更加可靠的依据。     

雾霾感知风险与公众应对行为的实证分析

通过在雾霾严重时期收集的大规模问卷调查数据,建立了雾霾感知风险等因素与应对行为之间关系的结构方程模型.分析显示,对环境信息越敏感、雾霾感知风险越大、对雾霾知识了解越多、雾霾感知可控性越大的公众会采取更多的防护与应对措施,他们对相关防护产品的购买意愿也越强.特别是,感知风险在环境信息与应对行为以及环境满意度之间起着重要的中介变量作用,即当雾霾污染引起人们的感知风险时,会促使他们采取更多的应对行为,并且对环境满意度评价产生负面影响.另外,雾霾感知可控性在雾霾知识熟悉度与应对行为以及环境满意度之间起着部分中介变量的作用.     

经管类专业《统计学》教学中应融入数学模型思想

针对经管类专业学生统计学学习中重应用、轻理论的现状,在教学中融入模型思想,通过规范统计学中参数估计、假设检验、方差分析等几类问题的数学模型建立,加强学生对统计学问题的理解和学习。     

Examining multiplicity and dynamics of publics’ crisis narratives with large-scale Twitter data

The new reality of networked publics on social media calls for crisis communication practitioners and researchers to understand the narratives generated by publics on social media during organizational crises. As social media publics possess diverse, unique characteristics and communicative needs during a crisis, they form interpretative communities and co-create various symbolic interpretations of the crisis. Extending the public-centric and narrative perspective to the context of social media crises, we examined what crisis narratives were constructed by social media publics (i.e., multiplicity) and how these narratives changed by crisis stages (i.e., dynamics). Using topic modelling based on large-scale Twitter data of the Chipotle E. coli crisis (N?=?40,610), we identified ten narratives subsumed under two themes (i.e., sharing-based and conversation-based) based on publics’ social constructions of their perceived risks and crisis experience. On the one hand, sharing-based narratives, heavily impacted by publics’ shared media coverage, reflected media crisis narratives and salient risk perceptions aligning with the news agenda. On the other hand, conversation-based narratives, fueled by publics’ opinion expression and emotional venting, demonstrated publics’ interpretations of their experience with the organization in the crisis with less salient but more diversified risk perceptions. Crisis managers are recommended to produce and deliver compelling narratives resonating with different groups of social media publics during crises.     

Small area estimation strategies for large population surveys: a comparison of design and model-based methods

Small area estimation (SAE) concerns with how to reliably estimate population quantities of interest when some areas or domains have very limited samples. This is an important issue in large population surveys, because the geographical areas or groups with only small samples or even no samples are often of interest to researchers and policy-makers. For example, large population health surveys, such as Behavioural Risk Factor Surveillance System and Ohio Mecaid Assessment Survey (OMAS), are regularly conducted for monitoring insurance coverage and healthcare utilization. Classic approaches usually provide accurate estimators at the state level or large geographical region level, but they fail to provide reliable estimators for many rural counties where the samples are sparse. Moreover, a systematic evaluation of the performances of the SAE methods in real-world setting is lacking in the literature. In this paper, we propose a Bayesian hierarchical model with constraints on the parameter space and show that it provides superior estimators for county-level adult uninsured rates in Ohio based on the 2012 OMAS data. Furthermore, we perform extensive simulation studies to compare our methods with a collection of common SAE strategies, including direct estimators, synthetic estimators, composite estimators, and Datta GS, Ghosh M, Steorts R, Maples J.'s [Bayesian benchmarking with applications to small area estimation. Test 2011;20(3):574–588] Bayesian hierarchical model-based estimators. To set a fair basis for comparison, we generate our simulation data with characteristics mimicking the real OMAS data, so that neither model-based nor design-based strategies use the true model specification. The estimators based on our proposed model are shown to outperform other estimators for small areas in both simulation study and real data analysis.     

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.     

Men's Participation in Family Planning Decisions in Kenya

At the beginning of the 1930's Sweden had one of the lowest reproduction rates in Europe, and a decline in population was regarded as imminent. Since then, however, developments have shown a different trend and the natural increase has become higher, the fears about a decrease in population thus being considerably lessened or entirely removed.     

大学生数学建模竞赛几个相关问题的研究

数学建模竞赛已成为全球重点综合性大学数学教学工作中的一项“重头戏” ,成为评价大学数学教学水平的一项重要指标。数学建模对培养学生的素质特别是培养大学生创新能力和团队精神有着重大的意义 ;提高大学生数学建模竞赛水平关键在于教学组织工作 ,并要时时跟踪数学建模竞赛的特点和未来的发展走向。