Perceiving vocal age and gender: An adaptation approach

Aftereffects of adaptation have revealed both independent and interactive coding of facial signals including identity and expression or gender and age. By contrast, interactive processing of non-linguistic features in voices has rarely been investigated. Here we studied bidirectional cross-categorical aftereffects of adaptation to vocal age and gender. Prolonged exposure to young (~ 20 yrs) or old (~ 70 yrs) male or female voices biased perception of subsequent test voices away from the adapting age (Exp. 1) and the adapting gender (Exp. 2). Relative to gender-congruent adaptor-test pairings, vocal age aftereffects (VAAEs) were reduced but remained significant when voice gender changed between adaptation and test. This suggests that the VAAE relies on both gender-specific and gender-independent age representations for male and female voices. By contrast, voice gender aftereffects (VGAEs) were not modulated by age-congruency of adaptor and test voices (Exp. 2). Instead, young voice adaptors generally induced larger VGAEs than old voice adaptors. This suggests that young voices are particularly efficient gender adaptors, likely reflecting more pronounced sexual dimorphism in these voices. In sum, our findings demonstrate how high-level processing of vocal age and gender is partially intertwined.     

On the Standard and Rational Completeness of some Axiomatic Extensions of the Monoidal T-norm Logic

The monoidal t-norm based logic MTL is obtained from Hájek's Basic Fuzzy logic BL by dropping the divisibility condition for the strong (or monoidal) conjunction. Recently, Jenei and Montgana have shown MTL to be standard complete, i.e. complete with respect to the class of residuated lattices in the real unit interval [0,1] defined by left-continuous t-norms and their residua. Its corresponding algebraic semantics is given by pre-linear residuated lattices. In this paper we address the issue of standard and rational completeness (rational completeness meaning completeness with respect to a class of algebras in the rational unit interval [0,1]) of some important axiomatic extensions of MTL corresponding to well-known parallel extensions of BL. Moreover, we investigate varieties of MTL algebras whose linearly ordered countable algebras embed into algebras whose lattice reduct is the real and/or the rational interval [0,1]. These embedding properties are used to investigate finite strong standard and/or rational completeness of the corresponding logics.     

International Human Rights and National Discretion

This paper argues that the EuropeanCourt of Human Rights couldserve as a model for an international court ofhuman rights to be builtupon the United Nations Committee on HumanRights. It argues that theconcerns states might have over the surrenderof a significant portion oftheir national sovereignity might be lessenedif such an internationalcourt were to incorporate the margin ofappreciation doctrine employed bythe European Court of Human Rights. Thisdoctrine is intended to respectthe customs and traditions of sovereign statesin dealing with humanrights issues, while maintaining that somerights such as the right not tobe tortured will be considered as basic andwill stand independently ofthe customs and traditions of sovereignstates.     

远迁移产生条件的新界定

对于迁移,特别是远迁移的实验研究有很多争论。本文介绍了Barnett和Ceci提出的关于影响迁移的内容因素和线索因素两个方面的九个维度的分类学,根据这九个维度就能比较正确的预测迁移的远、近。他们认为,迁移的远近应从多维的角度进行界定,满足了远迁移的所有标准的变化就可以称之为远迁移。     

Scientific limitations and ethical ramifications of a non-representative Human Genome Project: African American response

The Human Genome Project (HGP) represents a massive merging of science and technology in the name of all humanity. While the disease aspects of HGP-generated data have received the greatest publicity and are the strongest rationale for the project, it should be remembered that the HGP has, as its goal the sequencing of all 100,000 human genes and the accurate depiction of the ancestral and functional relationships among these genes. The HGP will thus be constructing the molecular taxonomic norm for humanity. Currently the HGP genomic baseline is almost exclusively skewed toward North Atlantic European lineages through the extensive use of the Centre d’études du Polymorphisme Humaine (CEPH) data set. More recently, the HGP has shifted to the use of volunteer donors since adequate informed consent had not been secured from the CEPH families. No evidence exists that either the CEPH families or the current volunteers are the most appropriate demographic or evolutionary lineages for the functional genomic studies that will guide production of new DNA based drugs, targeted therapeutics and gene-based diagnostics. The lack of scientific representativeness of the HGP is a serious impediment to its broad applicability. Yet this can be remedied, and five alternative sampling strategies are presented. In response to the current exclusionary design of the HGP, there is noteworthy caution and skepticism in the African American community concerning genetic studies. The Manifesto on Genomic Studies Among African Americans reflects both a desire to be systematically included in federally funded genomic studies and a desire to maintain some control over the interpretation and application of research results. Representative sampling in the HGP is seen as an international human rights issue with domestic ethical implications.     

Extending Standard Models of ZFC to Models of Nonstandard Set Theories

We study those models of ZFCwhich are embeddable, as the class of all standard sets, in a model of internal set theory >ISTor models of some other nonstandard set theories. This revised version was published online in June 2006 with corrections to the Cover Date.     

Some relationships between factors and components

The asymptotic correlations between the estimates of factor and component loadings are obtained for the exploratory factor analysis model with the assumption of a multivariate normal distribution for manifest variables. The asymptotic correlations are derived for the cases of unstandardized and standardized manifest variables with orthogonal and oblique rotations. Based on the above results, the asymptotic standard errors for estimated correlations between factors and components are derived. Further, the asymptotic standard error of the mean squared canonical correlation for factors and components, which is an overall index for the closeness of factors and components, is derived. The results of a Monte Carlo simulation are presented to show the usefulness of the asymptotic results in the data with a finite sample size.The author is indebted to anonymous referees for their comments, corrections and suggestions which have led to the improvement of this article.     

Information matrix estimation procedures for cognitive diagnostic models

Two new methods to estimate the asymptotic covariance matrix for marginal maximum likelihood estimation of cognitive diagnosis models (CDMs), the inverse of the observed information matrix and the sandwich-type estimator, are introduced. Unlike several previous covariance matrix estimators, the new methods take into account both the item and structural parameters. The relationships between the observed information matrix, the empirical cross-product information matrix, the sandwich-type covariance matrix and the two approaches proposed by de la Torre (2009, J. Educ. Behav. Stat., 34, 115) are discussed. Simulation results show that, for a correctly specified CDM and Q-matrix or with a slightly misspecified probability model, the observed information matrix and the sandwich-type covariance matrix exhibit good performance with respect to providing consistent standard errors of item parameter estimates. However, with substantial model misspecification only the sandwich-type covariance matrix exhibits robust performance.     

Four Covariance Structure Models for Canonical Correlation Analysis: A COSAN Modeling Approach

The mathematical connection between canonical correlation analysis (CCA) and covariance structure analysis was first discussed through the Multiple Indicators and Multiple Causes (MIMIC) approach. However, the MIMIC approach has several technical and practical challenges. To address these challenges, a comprehensive COSAN modeling approach is proposed. Specifically, we define four COSAN-CCA models to correspond with four possible combinations of the data to be analyzed and the unique parameters to be estimated. In terms of the data, one can analyze either the unstandardized or standardized variables. In terms of the unique parameters, one can estimate either the weights or loadings. Besides the unique parameters of each COSAN-CCA model, all four COSAN-CCA models also estimate the canonical correlations as their common parameters. Taken together, the four COSAN-CCA models provide the correct point estimates and standard error estimates for all commonly used CCA parameters. Two numeric examples are used to compare the standard error estimates obtained from the MIMIC approach and the COSAN modeling approach. Moreover, the standard error estimates from the COSAN modeling approach are validated by a simulation study and the asymptotic theory. Finally, software implementation and future extensions are discussed.