策略集扰动下Nash平衡的精炼

通过定义一种策略集的扰动映射,引入一种新的稳定Nash平衡的概念,并利用Ky Fan不等式定理的相关结果证明该稳定Nash平衡的存在性.     

言语超越性探微

文章通过对言语超越性的两个方面,即言语涵义的多元衍生和言语载体的概念转换的讨论,试图阐明言语超越性对于生产生活、日常交往,对于人们认识和改造世界的重要意义,在此基础上,进一步提出重视"体悟"的方法,对言语超越性的运用要讲究趋利避害,反对滥用。     

The embodied experience of episodic disability among women with multiple sclerosis

This paper explores the embodied experience of three women living with an episodic or fluctuating disability within the context of relapsing–remitting multiple sclerosis. I argue that this shifting embodiment is subjectively, performatively, and interpretively experienced in discrediting ways across social, organizational, and local contexts in women's lives. Drawing on findings from my doctoral thesis, three interpretive themes inform the analysis: not looking disabled, more than meets the eye, and institutional bafflement. Respectively, these themes pertain to a woman's physical appearance, cultural assumptions about disabled embodiment, and the contestation of social, organizational, and local institutional practices shaping women's lives. These themes hold implications for an ‘embodied politics' in rethinking the manner in which episodic disability is experientially, conceptually, and socio-politically recognized as a legitimate tier of the experience of disability.     

利用多元智力进行教学——以《公共教育学》为例

从改善《公共教育学》的课堂教学出发，借助“多元智力理论”的启示，提出教师在教学中应当利用多元智力理论，不仅利用学生的多元智力进行教学，并且要尝试着利用教师自己的多元智力来教。通过学习“多元智力理论”的精髓，师生共同求得发展与进步。     

The “Real Thing”

This article examined the value of using nonfiction graphic novels as historical narratives in the social studies curriculum. Preservice teachers evaluated several graphic novels and identified attributes of graphic novels that could contribute to students’ development of historical thinking and understanding of multiple perspectives. Despite the preservice teachers’ value for graphic novels as resources and their desire to use them in their future classrooms, all of the preservice teachers identified reasons why they would not be able to use graphic novels in their future school context. The findings suggested that the preservice teachers’ desire to be accepted by their school community took precedence over their intention to use resources that they deemed engaging and beneficial for student learning.     

Bayesian tests for unit root and multiple breaks

A Bayesian approach is considered for identifying sources of nonstationarity for models with a unit root and breaks. Different types of multiple breaks are allowed through crash models, changing growth models, and mixed models. All possible nonstationary models are represented by combinations of zero or nonzero parameters associated with time trends, dummy for breaks, or previous levels, for which Bayesian posterior probabilities are computed. Multiple tests based on Markov chain Monte Carlo procedures are implemented. The proposed method is applied to a real data set, the Korean GDP data set, showing a strong evidence for two breaks rather than the usual unit root or one break.     

Simple and multiple correspondence analysis for ordinal-scale variables using orthogonal polynomials

Correspondence analysis (CA) has gained a reputation for being a very useful statistical technique for determining the nature of association between two or more categorical variables. For simple and multiple CA, the singular value decomposition (SVD) is the primary tool used and allows the user to construct a low-dimensional space to visualize this association. As an alternative to SVD, one may consider the bivariate moment decomposition (BMD), a method of decomposition that involves using orthogonal polynomials to reflect the structure of ordered categorical responses. When the features of BMD are combined with SVD, a hybrid decomposition (HD) is formed. The aim of this paper is to show the applicability of HD when performing simple and multiple CA.     

An extended briefing and debriefing technique to enhance data quality in cross-national/language mixed-method research

ABSTRACT

Mixed methods surveys using multilingual assistants in areas without clear pre-defined sampling units are often difficult to manage and unpredictable, thereby threatening data quality. More so when such surveys are executed in unfamiliar territories where cultural and language barriers prevent direct communication between the principal researcher and the respondents, and field assistants act as cultural/language brokers. This paper provides a method to enhance data quality in such contexts through a reflection on the research design and data collection experience in our study on flood damage mitigation processes among households and businesses in Kampala. Associated field challenges included different disciplinary and language skills levels of assistants, their multiple positionalities when translating concepts from the inquiry language to the source language and vice-versa, low settlement permeability/accessibility, multiple households per sampling unit, and socio-psychological issues among respondents and research assistants. The available literature lacks comprehensive systematic methods to address the challenges above, using detailed research fieldwork management experiences in which data collection is outsourced from field assistants. Our application of an extended version of the briefing and debriefing technique closes this gap. As a guide to apply this approach, we conceptualize social science research into four inter-related dimensions – paradigm, people, process, and presentation.     

A comparison of the NZDep and New Zealand IMD indexes of socioeconomic deprivation

ABSTRACT

The aims of this study were to compare the NZ Indices of Multiple Deprivation (IMD) with the NZDep index of socioeconomic deprivation in terms of their: (1) theoretical and methodological approaches; (2) use of small areas; (3) rankings of small areas; and (4) relationships with various health and social outcomes. Literature sources were reviewed for aim 1. The data sources for aims 2–4, all contained within Statistics New Zealand’s Integrated Data Infrastructure, were: (1) 2013 Census, (2) health data sets, (3) Police database, and (4) 2014 General Social Survey. Outcomes were smoking, mortality, respiratory disease, crime, self-assessed health status. Spearman’s rho was used as a measure of correlation. Deciles were treated as categorical in the stepwise logistic regressions. The key finding is that there is a range of theoretical and methodological differences between the indexes. Despite these differences, the indexes behave in a similar, but not identical, manner in their ranking of small areas and in their associations with health and social outcomes. In conclusion, for practical purposes for many applications the two indexes give similar results when analysing very large data sets, although there are some important caveats related to this conclusion for both large and small data sets.     

A Soft-Path Solution to Risk Reduction by Modeling Medical Waste Disposal Center Location-Allocation Optimization

The risk of medical waste pollution and huge demand of daily medical waste disposal pose great difficulties to medical waste management. Establishing medical waste disposal centers (MWDCs) is considered one of the ways to reduce the environmental and public risk of medical waste pollution. However, how to serve the medical waste disposal demand in optimal MWDCs’ locations is a key challenge due to the complexity of the whole system and relationships among stakeholders. This article develops a soft-path solution for reducing risks as well as mitigating the related costs by optimizing the MWDC location-allocation problem. A risk mitigation-oriented bilevel equilibrium optimization model is developed for modeling the Stackelberg game behavior between the local government and the medical institutions. The objectives of the local government are minimizing the total risk of loss, the subsidy costs, and the investment cost of building the MWDCs, while minimizing the disposal and transportation costs are the objectives at the medical institution level. Fuzzy random variables are introduced by combining insufficient historical data with expert knowledge via consulting surveys to describe the coexisting uncertainties in the data. To solve the model, a hybrid approach combined with the interactive fuzzy programming technique and an Entropy-Boltzmann selection-based genetic algorithm are designed and tested. The Chengdu Medical Waste Disposal Centers Planning Project is used as a practical application. The results show that it is possible to achieve a balanced market with higher economic efficiency and significantly reduced risk through an appropriate principle of interactive actions between the bilevel stakeholders.