基于论证型式应用的论证挖掘

本文旨在为构建一种以论证型式为基础的方法,用以帮助非形式逻辑的学生分析自然语言对话的文本,并识别出其中所出现的常见论证类型。他们在这一过程中时常会错误地辨识论证类型,而本文将表明所发展的这种方法对于学习非形式逻辑的学生们是非常有帮助的。另外,对于那些可用于构建一种有用的论证识别方法的理论资源,本文对其最新发展动态进行了考察,并且也概览了当前人工智能领域中所发展的自动论证挖掘工具。     

Activity engagement is related to level, but not change in cognitive ability across adulthood

It is unclear whether the longitudinal relation between activity participation and cognitive ability is due to preserved differentiation (active individuals have higher initial levels of cognitive ability), or differential preservation (active individuals show less negative change across time). This distinction has never been evaluated after dividing time-varying activity into its two sources of variation: between-person and within-person variability. Further, few studies have investigated how the association between activity participation and cognitive ability may differ from early to older adulthood. Using the PATH Through Life Project, we evaluated whether between- and within-person variation in activity participation was associated with cognitive ability and change within cohorts aged 20-24 years, 40-44 years, and 60-64 years at baseline (n = 7,152) assessed on three occasions over an 8-year interval. Multilevel models indicated that between-person differences in activity significantly predicted baseline cognitive ability for all age cohorts and for each assessed cognitive domain (perceptual speed, short-term memory, working memory, episodic memory, and vocabulary), even after accounting for sex, education, occupational status, and physical and mental health. In each case, greater average participation was associated with higher baseline cognitive ability. However, the size of the relationship involving average activity participation and baseline cognitive ability did not differ across adulthood. Between-person activity and within-person variation in activity level were both not significantly associated with change in cognitive test performance. Results suggest that activity participation is indeed related to cognitive ability across adulthood, but only in relation to the starting value of cognitive ability, and not change over time.     

In the Anteroom of Divinity: The Reformation of the Angels from Colet to Milton

Abstract

Erasmus censures the musical practice of the medieval Church from ethical and rhetorical perspectives on music, and highlights decorum in delivery at the liturgical performance. His criticism of instrumental music echoes the patristic views of music, which are essentially logocentric and opposed to the use of musical instruments within the Church. The Erasmian ideal of church musicians lies in the classical model of the sacred-musical orator, with great emphasis on musicians’ moral status and intellectual ability. In relation to music (especially the Psalms) in the context of Christian worship, Erasmus regards music as a ‘spiritual sacrifice’ in which leading godly lives is combined with singing hymns and praises.     

Data processing in music performance research: Using structural information to improve score-performance matching

In order to study aspects of music performance, one has to find correspondences between the performance data and a score. Locating the corresponding score note for every performance note, calledmatching, is therefore a common task. An algorithm that automates this procedure is called amatcher. Automated matching is difficult because performers make errors, performers use expressive timing, and scores are frequently underspecified. To find the best match, most matchers use information about pitch, temporal order, and the number of matched notes. We show that adding information about the musical structure of the score gives better results. However, we found that even this information was insufficient to identify some types of performance errors and that a definition of best match based only on the number of matched notes is sometimes problematic. We provide some suggestions about how to achieve greater improvements.     

Towards the Good Life: A Population Survey of Dimensions of Quality of Life

The aim of the analyses presented here was to explore subjective and objective components and predictors of self-rated quality of life (QoL). The vehicle for the study was a questionnaire module on perceptions of quality of life, which was commissioned by the authors for inclusion in the Office of National Statistics (ONS) Omnibus Survey in Great Britain. For the survey, 2033 randomly sampled adults aged 16 and over were interviewed in their own homes (77% response rate). Multiple regression analyses showed that relatively little of the variance in overall QoL ratings was explained by the objective, socio-demographic indicators (5%), and the addition of the health status indicator (reported longstanding illness) contributed nothing. The subjective ratings of life in self-nominated areas of importance explained the most, with those who did not prioritise the area at all as the referent (relationships, finances, own health, others' health, work and social life). These variables contributed over twice as much as the objective and health status variables, indicating the relative importance of self-nominated 'important areas of life' over theoretically important, objective variables and reported illness. However, the final model still only explained a modest amount of the variance in quality of life ratings (16%), confirming the amorphous nature of quality of life.