Invited commentary on Stewart and Davis " 'Big data' in mental health research-current status and emerging possibilities"

No abstract available

Stable communication through dynamic language

I use agent-based computational models of inferential language transmission to investigate the relationship between language change and the indeterminacy of meaning. I describe a model of communication and learning based on the inference of meaning through disambiguation across multiple contexts, which is then embedded within an iterated learning model. The dynamic flexibility and uncertainty inherent in the model leads directly to variation between agents, in both their conceptual and lexical structures. Over generations of repeated meaning inference, this variation leads to significant language change. Despite such change, however, the language maintains its utility as a communicative tool within each individual generation

Language Boundaries Driven By Surface Tension

A new model of language evolution assumes that changes in the spatial boundaries between dialects are controlled by a surface tension effect

Asymmetric synthesis of tri- and tetrasubstituted trifluoromethyl dihydropyranones from alpha-aroyloxyaldehydes via NHC redox catalysis

We thank the Royal Society for a University Research Fellowship (A.D.S.), and the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007-2013) ERC Grant Agreement No. 279850 (A.T.D.).The asymmetric synthesis of tri- and tetrasubstituted trifluoromethyl dihydropyranones via an NHC-catalyzed redox process, introducing methyl, benzyl, and aryl substituents to the C(5) position, is presented. Their substrate-controlled derivatization into δ-lactones and cyclic hemiacetals containing stereogenic trifluoromethyl groups is also described.PostprintPeer reviewe

Learning colour words is slow: A cross-situational learning account

Research into child language reveals that it takes a long time for children to learn the correct mapping of colour words. Steels & Belpaeme's (S&B's) guessing game, however, models fast learning of words. We discuss computational studies based on cross-situational learning, which yield results that are more consistent with the empirical child language data than those obtained by S&B

The pivotal role of metaphor in the evolution of human language

There is broad agreement among evolutionary linguists that the emergence of human language, as opposed to other primate communication systems, is characterised by two key phenomena: the use of symbols, and the use of grammatical structure (Tomasello 2003). In this paper, we show that these two defining aspects of language actually emerge from the same set of underlying cognitive mechanisms within the context of ostensive-inferential communication. We take an avowedly cognitive approach to the role of metaphor in language change, setting out how general capacities such as the recognition of common ground, the inference of meaning from context, and the memorisation of language usage, can together lead to the conventionalisation of metaphors, and thence to systematic changes in language structure, including the development of grammatical linguistic units from formerly meaningful elements through grammaticalisation (Hoefler and Smith 2009). We show that the relevant cognitive competences are general-purpose mechanisms which are crucially not specific to language; they also underpin non-linguistic communication, where the same processes lead to the emergence of apparently arbitrary symbols

Isothiourea-catalyzed enantioselective synthesis of tetrahydro-α-carbolinones

The research leading to these results has received funding from the Royal Society (Newton Fellowship Programme, H. L.). A.D.S. thanks the Royal Society for a Wolfson Research Merit Award.An isothiourea-catalyzed enantioselective annulation protocol using indolin-2-imines with a series of α,β-unsaturated p-nitrophenyl esters for the synthesis of tetrahydro-α-carbolinones was developed. Using 5 mol % of the isothiourea HyperBTM as the Lewis base catalyst, this process allows the enantioselective preparation of a range of C(4)-substituted tetrahydro-α-carbolinones in good to excellent yield and with high enantioselectivity (20 examples, 32–99% yield and up to 99:1 er).PostprintPeer reviewe

Dietary patterns obtained through principal components analysis: The effect of input variable quantification

Principal components analysis (PCA) is a popular method for deriving dietary patterns. A number of decisions must be made throughout the analytic process, including how to quantify the input variables of the PCA. The present study aims to compare the effect of using different input variables on the patterns extracted using PCA on 3-d diet diary data collected from 7473 children, aged 10 years, in the Avon Longitudinal Study of Parents and Children. Four options were examined: weight consumed of each food group (g/d), energy-adjusted weight, percentage contribution to energy of each food group and binary intake (consumed/not consumed). Four separate PCA were performed, one for each intake measurement. Three or four dietary patterns were obtained from each analysis, with at least one component that described 'more healthy' and 'less healthy' diets and one component that described a diet with high consumption of meat, potatoes and vegetables. There were no obvious differences between the patterns derived using percentage energy as a measurement and adjusting weight for total energy intake, compared to those derived using gram weights. Using binary input variables yielded a component that loaded positively on reduced fat and reduced sugar foods. The present results suggest that food intakes quantified by gram weights or as binary variables both resulted in meaningful dietary patterns and each method has distinct advantages: weight takes into account the amount of each food consumed and binary intake appears to describe general food preferences, which are potentially easier to modify and useful in public health settings. © 2012 The Authors