Examining the cultural appropriateness of the communicative approach to language teaching in Japan.

The communicative approach has been one of the most successful and widely-used second language teaching approaches in the latter part of the twentieth century and the early stages of the twenty-first century. Yet despite its tremendous influence, some have questioned its universal applicability, particularly in Asian learning contexts. Ellis (1996) is one such critic, who argues that the communicative approach ought to be adjusted to fit what he claims are collectivist, form-focussed Asian learning contexts. This paper aimed to evaluate Ellis’s (1996) claims, particularly in relation to English language teaching in Japan. In doing so, it was shown that the ‘one-size-fitsall’approach adopted by Ellis (1996) in relation to categorising Asian learning contexts is overly simplistic. In fact, despite the prevalence of what he refers to as a contentoriented approach in many formal language learning contexts in Asia, many nonformal learning contexts – such as eikaiwa (English conversation classes) in Japan–successfully utilise the communicative approach. Moreover, this paper demonstrated that the notion of Western English teachers acting as ‘cultural mediators’ in Asian language learning settings is fraught with difficulty. Not only is it problematic trying to isolate what culture or cultures a person is said to represent, but also many Western English teachers teaching in countries such as Japan may not be in a position to truly claim to have an in-depth understanding of the culture in which they find themselves living and working

A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks

An explosion of high-throughput DNA sequencing in the past decade has led to a surge of interest in population-scale inference with whole-genome data. Recent work in population genetics has centered on designing inference methods for relatively simple model classes, and few scalable general-purpose inference techniques exist for more realistic, complex models. To achieve this, two inferential challenges need to be addressed: (1) population data are exchangeable, calling for methods that efficiently exploit the symmetries of the data, and (2) computing likelihoods is intractable as it requires integrating over a set of correlated, extremely high-dimensional latent variables. These challenges are traditionally tackled by likelihood-free methods that use scientific simulators to generate datasets and reduce them to hand-designed, permutation-invariant summary statistics, often leading to inaccurate inference. In this work, we develop an exchangeable neural network that performs summary statistic-free, likelihood-free inference. Our framework can be applied in a black-box fashion across a variety of simulation-based tasks, both within and outside biology. We demonstrate the power of our approach on the recombination hotspot testing problem, outperforming the state-of-the-art.Comment: 9 pages, 8 figure

Oxidized polyethylene films for orienting polar molecules for linear dichroism spectroscopy

Stretched polyethylene (PE) films have been used to orient small molecules for decades by depositing solutions on their surface and allowing the solvent to evaporate leaving the analyte absorbed on the polymer film. However, the non-polar hydrophobic nature of PE is an obstacle to aligning polar molecules and biological samples. In this work PE film was treated with oxygen plasma in order to increase surface hydrophilicity. Different treatment conditions were evaluated using contact angle measurement and X-ray photoelectron spectroscopy. Treated PE (PEOX) films are shown to be able to align molecules of different polarities including progesterone, 1-pyrenecarboxaldehyde, 4′,6-diamidino-2-phenylindole (DAPI) and anthracene. The degree of alignment of each molecule was studied by running series of linear dichroism (LD) experiments and the polarizations of electronic transition moments were determined. For the first time optimal conditions (such as stretching factor and concentration of the sample) for stretched film LD were determined. PEOX aligning ability was compared to that of normal PE films. Progesterone showed a slightly better alignment on PEOX than PE. 1-Pyrenecarboxaldehyde oriented differently on the two different films which enabled transition moment assignment for this low symmetry molecule. DAPI (which does not align on PE) aligned well on PEOX and enabled us to obtain better LD data than had previously been collected with polyvinyl alcohol. Anthracene alignment and formation of dimers and higher order structures were studied in much more detail than previously possible, showing a variety of assemblies on PE and PEOX films

Nurturing Academic Vocabulary Knowledge Growth with Learner-Inspired Materials

Having knowledge of the meaning and appropriate use of academic vocabulary can be crucial in learnersʼ academic success. However, finding or creating materials to assist academic vocabulary learning that are at an appropriate level and that also stimulate ESL/EFL learners can be a tremendous challenge for teachers. This paper examines the development of a learner-inspired, fictional graded reader series that incorporates (and systematically recycles) all of Coxheadʼs (2000) Academic Word List items. Its implementation in a Japanese medical university EAP course resulted in positive feedback from learners and also substantial academic vocabulary knowledge growth. And despite the potential for generative AI to develop similar learning materials, our experiment using ChatGPT (with a variety of prompt configurations) revealed that it was not able to successfully produce similarly graded reading materials. Thus, teachers may still have an important role as moderators in managing generative AIʼs output of learning materials

Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy

DISC1 genetics, biology and psychiatric illness

Psychiatric disorders are highly heritable, and in many individuals likely arise from the combined effects of genes and the environment. A substantial body of evidence points towards DISC1 being one of the genes that influence risk of schizophrenia, bipolar disorder and depression, and functional studies of DISC1 consequently have the potential to reveal much about the pathways that lead to major mental illness. Here, we review the evidence that DISC1 influences disease risk through effects upon multiple critical pathways in the developing and adult brain