Callosal inhibition: the key to the brain code

A mechanism for interhemispheric communication is proposed based upon the assumption of homotopic callosal inhibition. The implied pattern of cortical activity in each cerebral hemisphere is shown to be the mirror-image and "photographic negative" of the contralateral pattern. Mirror-imagery is a direct consequence of (1) approximate cerebral hemispheric bilateral symmetry and (2) homotopic callosal connections. The photographic negative relationship is a direct consequence of (1) bilaterally symmetrical activation of the cortex via subcortical "attentional" mechanisms and (2) inhibition by a unilaterally established engram of an identical cortical pattern contralaterally. In language generation and understanding, excitation predominantly in the left hemisphere produces on the right inhibition of language-related neurons as well as excitation of all surrounding "contextual" neurons. The suggested dichotomy of verbal and contextual functions of the cerebral hemispheres is shown to be supported by previous findings concerned with cognition in brain-damaged patients. Unlike earlier suggestions of linguistic and paralinguistic specializations in the left and right, the mirror-image negative hypothesis is based upon an explicit physiological process rather than unspecified differences in "information processing."     

Progressive multi-state models for informatively incomplete longitudinal data

Progressive multi-state models provide a convenient framework for characterizing chronic disease processes where the states represent the degree of damage resulting from the disease. Incomplete data often arise in studies of such processes, and standard methods of analysis can lead to biased parameter estimates when observation of data is response-dependent. This paper describes a joint analysis useful for fitting progressive multi-state models to data arising in longitudinal studies in such settings. Likelihood based methods are described and parameters are shown to be identifiable. An EM algorithm is described for parameter estimation, and variance estimation is carried out using the Louis’ method. Simulation studies demonstrate that the proposed method works well in practice under a variety of settings. An application to data from a smoking prevention study illustrates the utility of the method.     

Multicultural awareness through English: a potential contribution of TESOL in Greek schools

The cultural diversity now evident in Greek society creates educational challenges and opportunities. Space to address these is provided by the multicultural awareness aspects of the discourse of the Cross‐Thematic Curriculum Framework (CTCF). For English language classes, multicultural direction is provided through the disciplinary discussion of new teaching paradigm possibilities. In particular, these discussions encourage us to explore the repositioning of English teaching in Greek state schooling from a foreign language orientation towards a multicultural one. In this article, having set the context, we present the Multicultural Awareness Through English (MATE) paradigm. We conclude by illustrating the MATE paradigm in action.

     

Stakeholder Communication in 140 Characters or Less: A Study of Community Sport Foundations

Community sport foundations (CSFs), like other non-profit organizations, are increasingly employing social media such as Twitter to communicate their mission and activities to their diverse stakeholder groups. However, the way these CSFs utilize social media for communicating such practices remains unclear. Through a mixed-method approach of content analysis of tweets from 22 CSFs established by English professional football clubs and interviews with key individuals within these CSFs (n = 7), this study examines the extent to which CSFs’ core activities are being communicated through Twitter and identifies the strategies employed for doing so. Reflecting the target audiences CSFs are seeking to reach through Twitter and the challenges associated with communication about projects involving marginalized groups, tweets largely concern programs related to sports participation and education. The most frequently employed communication strategy is to inform, rather than interact or engage with stakeholders. However, CSFs with higher organizational capacity attempt to go beyond mere informing towards engaging with stakeholder groups that relate to their social agenda, highlighting the importance of trained and dedicated social media personnel in optimizing CSFs’ use of Twitter for communication.     

Parameter estimation of the flexible Weibull distribution for type I censored samples

Often in practice one is interested in the situation where the lifetime data are censored. Censorship is a common phenomenon frequently encountered when analyzing lifetime data due to time constraints. In this paper, the flexible Weibull distribution proposed in Bebbington et al. [A flexible Weibull extension, Reliab. Eng. Syst. Safety 92 (2007), pp. 719–726] is studied using maximum likelihood technics based on three different algorithms: Newton Raphson, Levenberg Marquardt and Trust Region reflective. The proposed parameter estimation method is introduced and proved to work from theoretical and practical point of view. On one hand, we apply a maximum likelihood estimation method using complete simulated and real data. On the other hand, we study for the first time the model using simulated and real data for type I censored samples. The estimation results are approved by a statistical test.     

SERVICE TYPOLOGIES: A STATE OF THE ART SURVEY

Services comprise an ever-expanding source of employment in the world's economies and are of significant interest to both academicians and practitioners. In this study, historical perspectives from which to view service typologies are provided and four decades of service typologies are chronicled. The interest in services demonstrated by academicians is tracked over time as are the purposes for which typologies have been developed. A unified schematic representation of services is developed in which the common themes underlying service typology development are identified from both a macro and micro level. Based on this study, areas for future research are identified.     

Quality of Community Life Among Rural Residents: An Integrated Model

The purpose of this research was to explore the relationships among housing satisfaction, community attachment and community satisfaction and the complex mechanisms involved in predicting community satisfaction among residents in rural communities. The role of housing satisfaction and community attachment in predicting community satisfaction was of particular interest. A structural equation model of community satisfaction was tested with mail survey data drawn from a randomly selected rural sample of 974 households. The results of this study confirmed the influences and mediating role of community attachment and housing satisfaction in predicting community satisfaction. “Spillover” effects from “lower levels of life concerns” (e.g., satisfaction with local services, assessment of current housing conditions) in perceived community satisfaction were found that support previous research (Sirgy and Cornwell in Social Indicators Research 59:79–114, 2002).     

New approaches to model-free dimension reduction for bivariate regression

Dimension reduction with bivariate responses, especially a mix of a continuous and categorical responses, can be of special interest. One immediate application is to regressions with censoring. In this paper, we propose two novel methods to reduce the dimension of the covariates of a bivariate regression via a model-free approach. Both methods enjoy a simple asymptotic chi-squared distribution for testing the dimension of the regression, and also allow us to test the contributions of the covariates easily without pre-specifying a parametric model. The new methods outperform the current one both in simulations and in analysis of a real data. The well-known PBC data are used to illustrate the application of our method to censored regression.     

Evidence of a Housing Decision Chain in Rural Community Vitality*

Abstract The purpose of this research was to explore and explain the role housing plays in rural community vitality. Community vitality refers to economic strength and social well‐being. In spring 2002 we collected primary interview data from informants in 134 small rural communities in nine north‐central states and identified related secondary data from the U.S. census. We developed a structural‐equation‐path model, which supported a “housing decision chain” that influenced community vitality. Based on this research, local housing decisions do play an important role in community vitality. Strong local leaders use housing planning to secure funding to produce a change in the quantity of housing, which in turn positively influences community vitality. Housing inventory also mediated the effects of total population and percentage population change on community vitality, indicating that housing supply is a fundamental ingredient in community growth strategies. These findings support the conclusion that a combination of housing plans and strategies orchestrated by skilled, committed leadership strengthens rural communities. Heretofore the ling between housing and community vitality has not been investigated; evidence‐based data has been missing from the debate on viable rural community‐development strategies.     

Spatial modelling of the two‐party preferred vote in Australian federal elections: 2001–2016

We examine the relationships between electoral socio‐demographic characteristics and two‐party preferences in the six Australian federal elections held between 2001 and 2016. Socio‐demographic information is derived from the Australian Census which occurs every 5 years. Since a census is not directly available for each election, an imputation method is employed to estimate census data for the electorates at the time of each election. This accounts for both spatial and temporal changes in electoral characteristics between censuses. To capture any spatial heterogeneity, a spatial error model is estimated for each election, which incorporates a spatially structured random effect vector. Over time, the impact of most socio‐demographic characteristics that affect electoral two‐party preference do not vary, with age distribution, industry of work, incomes, household mobility and relationships having strong effects in each of the six elections. Education and unemployment are among those that have varying effects. All data featured in this study have been contributed to the eechidna R package (available on CRAN).