脑电图分析的方法论

临床诊断中的脑电图分析方法可归为两大类：线性分析法与非线性分析法。本文介绍了这两类方法中常用的算法如谱估计、小波分析、混沌分析方法等,分析了这两类方法的特点、优势以及存在的不足。同时讨论了在临床应用中选取这两类方法所出现的问题。提出了将人工势场法用于脑电图分析的新思路,并对研究方案进行了可行性分析。     

医学人文课程多元评价方法探讨

医学人文课程有必要实施多元评价:内容多元,涵盖知识与技能、过程与方法、情感态度与价值观3个领域的内涵;方法多元,根据不同课程的特点采用不同的评价方式;主体多元,运用教师评价、学生自评、学生互评的方法,使评价体现职业需求和学科特点,促进学生发展,并且有可操作性。     

The state of methods and tools for social systems change

The last decade or so has seen an increase in the rate of attention to systems change and the application of multiple theories to study and influence change in systems. This article considers how these theories, described in other articles in this issues, plus theories about complex adaptive systems open opportunities for us to continue to expand our repertoire of tools and methods to address systems change. These conceptual frameworks, tools, and methods are expected to help us increase our capacity to study and influence both planned and self-organizing systems change. New tools and methods have emerged and others are needed to help us continue to explore and influence the complex social systems within which we operate.     

数字卦与占筮——考古发现中的筮法及相关问题

本文通过讨论效字卦与《周易》的关系、数字卦与筮法的关系、作为占筮直接记录的数字卦在不同历史阶段的体例变化、以"大衍之法"为代表的占筮方法的基本原则等相关问题,认为西周时候的两个并列的数字卦不是一次算卦的记录而是两次算卦的记录,是结果相近的两次占筮的记录。也就是说,根据"先卜而后筮"、"三人占,则从二人之言"的原则,西周时候就重大事情一般要进行三次占筮或占卜,以含义互相接近的两次卜筮作为最终结果;而这两个含义互相接近的占筮被直接记录下来,就是考古发现中的两个并列的效字卦。     

The Hennessy–Milner equivalence for continuous time stochastic logic with mu-operator

A continuous stochastic logic with a μ-operator μCSL is defined, and an interpretation through stochastic relations is proposed. We investigate morphisms for models of μCSL, showing that the associated congruences can be used for an investigation of bisimilarity. The Hennessy–Milner equivalence for μCSL is discussed, and it is shown that models are equivalent iff they are bisimilar, using a general criterion for bisimilarity from the theory of stochastic relations.     

Data-driven type checking in open domain question answering

Many open domain question answering systems answer questions by first harvesting a large number of candidate answers, and then picking the most promising one from the list. One criterion for this answer selection is type checking: deciding whether the candidate answer is of the semantic type expected by the question. We define a general strategy for building redundancy-based type checkers, built around the notions of comparison set and scoring method, where the former provide a set of potential answer types and the latter are meant to capture the relation between a candidate answer and an answer type. Our focus is on scoring methods. We discuss nine such methods, provide a detailed experimental comparison and analysis of these methods, and find that the best performing scoring method performs at the same level as knowledge-intensive methods, although our experiments do not reveal a clear-cut answer on the question whether any of the scoring methods we consider should be preferred over the others.     

Neural evidence for the interplay between language, gesture, and action: a review

Co-speech gestures embody a form of manual action that is tightly coupled to the language system. As such, the co-occurrence of speech and co-speech gestures is an excellent example of the interplay between language and action. There are, however, other ways in which language and action can be thought of as closely related. In this paper we will give an overview of studies in cognitive neuroscience that examine the neural underpinnings of links between language and action. Topics include neurocognitive studies of motor representations of speech sounds, action-related language, sign language and co-speech gestures. It will be concluded that there is strong evidence on the interaction between speech and gestures in the brain. This interaction however shares general properties with other domains in which there is interplay between language and action.     

Top-down predictions in the cognitive brain

The human brain is not a passive organ simply waiting to be activated by external stimuli. Instead, we propose that the brain continuously employs memory of past experiences to interpret sensory information and predict the immediately relevant future. The basic elements of this proposal include analogical mapping, associative representations and the generation of predictions. This review concentrates on visual recognition as the model system for developing and testing ideas about the role and mechanisms of top-down predictions in the brain. We cover relevant behavioral, computational and neural aspects, explore links to emotion and action preparation, and consider clinical implications for schizophrenia and dyslexia. We then discuss the extension of the general principles of this proposal to other cognitive domains.     

Asking, Witnessing, Interpreting, Knowing: Conducting Qualitative Research in Community Psychology

We present a framework to describe the process of conducting community-based qualitative research. Qualitative research activities are presented as a series of interrelated acts called asking, witnessing, interpreting, and knowing. Each act in the research process is described in terms of current qualitative research practices, and illustrated with examples from our own research projects on families with schizophrenia and men's mutual support and batterer intervention groups. We critically examine the assumption that qualitative research serves to reveal or amplify the voices of participants. We examine connections between qualitative research and social change and describe the use of qualitative research to not only empower marginalized groups, but also to critique and transform privileged groups. The framework is intended to help community researchers to more fully conceptualize, understand, and engage in the practice of qualitative research.