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In this study, a phase method for analyzing functional near-infrared spectroscopy (fNIRS) signals was developed, which can extract the phase information of fNIRS data by using Hilbert transform. More importantly, the phase analysis method can be further performed to generate the brain phase activation and to construct the brain networks. Meanwhile, the study of translation between Chinese and English has been exciting and interesting from both the language and neuroscience standpoints due to their drastically different linguistic features. In particular, inspecting the brain phase activation and functional connectivity based on the phase data and phase analysis method will enable us to better understand the neural mechanism associated with Chinese/English translation. Our phase analysis results showed that the left prefrontal cortex, including the dorsolateral prefrontal cortex (DLPFC) and frontopolar area, was involved in the translation process of the language pair. In addition, we also discovered that the most significant brain phase activation difference between translating into non-native (English) vs. native (Chinese) language was identified in the Broca's area. As a result, the proposed phase analysis approach can provide us an additional tool to reveal the complex cognitive mechanism associated with Chinese/English sight translation.

Abstract Despite the emergence of newer forms of web-based political engagement, radio phone-ins continue to have a significant role in the enactment of the democratic process, providing a live forum for direct encounters between members of the public and politicians, beyond the professional forms of mediated encounters between studio journalists and politicians. In this paper, drawing on data from the BBC’s 2015 phone-in Election Call, we use Membership Categorisation Analysis to examine the ways in which political engagement is configured within this forum in the run up to the UK General Election in 2015. In particular, we examine how callers and politicians engage in live political debate through transforming personal experiences into politicised social categories. What emerges most significantly here is that, whereas in previous Election Call series participants configured political categories through personal social identities, in 2015 there is a particular emphasis on callers’ geographical locations as political categories.