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Growing up bilingual: Understanding benefits across the mainstream and complementary education sectors
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Triangulating Translation:Why Place Matters in Interlingual Encounters
No full textThis brief position paper argues for the importance of understanding Victorian translations, in particular English translations from Asian languages, in relation to the specific places where they were produced and where they were read
‘It’s the little bits that you have enabled me to see’. Reconceptualising the voices of babies using the video interaction dialogue model with early years educators
No full textKIR-HLA interactions extend human CD8+ T cell lifespan in vivo
No full textBACKGROUND. There is increasing evidence, in transgenic mice and in vitro, that inhibitory killer cell immunoglobulin-like receptors (iKIRs) can modulate T cell responses. Furthermore, we have previously shown that iKIRs are an important determinant of T cell-mediated control of chronic virus infection and that these results are consistent with an increase in CD8+ T cell lifespan due to iKIR-ligand interactions. Here we test this prediction and investigate whether iKIRs affect T cell lifespan in humans in vivo.METHODS. We used stable isotope labelling with deuterated water to quantify memory CD8+ T cell survival in healthy individuals and patients with chronic viral infections.RESULTS. We showed that an individual’s iKIR-ligand genotype is a significant determinant of CD8+ T cell lifespan: in individuals with two iKIR-ligand gene pairs, memory CD8+ T cells survived on average for 125 days, in individuals with four iKIR-ligand gene pairs then memory CD8+ T cell lifespan was doubled to 250 days. Additionally, we showed that this survival advantage is independent of iKIR expression by the T cell of interest and further that iKIR-ligand genotype altered CD8+ and CD4+ T cell immune aging phenotype.CONCLUSIONS. Together these data reveal an unexpectedly large impact of iKIR genotype on T cell survival
Distributed RMI-DBG model: Scalable iterative de Bruijn graph algorithm for short read genome assembly problem
Get PDF© 2023, Pergamon Press, Inc. The attached document (embargoed until 22/06/2025) is an author produced version of a paper published in Expert Systems with Applications: An International Journal uploaded in accordance with the publisher’s self-archiving policy. The final published version (version of record) is available online at the link. Some minor differences between this version and the final published version may remain. We suggest you refer to the final published version should you wish to cite from it. Genome assembly is the computational process of merging short parts of DNA into larger sequences called contigs. Rapid growth of high-throughput genome sequencing technologies and production of large amount of data have led to the genome assembly paradigms shift from shared memory to distributed memory systems in the recent years. Among the existing assembly algorithms, the iterative de Bruijn Graph is a leading approach for assembling short reads. This approach by exploring the advantages of all k between kmin to kmax, generates high quality assembly. However, the assembly operations are decelerated especially in the larger data sets. RMI-DBG is an agile iterative de Bruijn Graph algorithm that has the computational efficiency of de Bruijn Graph methods and the flexibility of overlap-based algorithms. In this paper, we suggest a distributed iterative DBG model based on RMI-DBG, named DRMI-DBG. The proposed idea is to address the problem of parallelizing the de Bruijn Graph construction and processing on distributed memory systems at each iteration of the algorithm. DRMI-DBG is a scalable iterative DBG framework over a Hadoop cluster by applying the power of Spark (a batch processing engine) and Giraph (a distributed big graph processing system). Experiments on a variety of real data sets show that DRMI-DBG accelerates the performance of RMI-DBG algorithm and IDBA-UD assembler up to 4.8 times with comparable or better results in the quality of the assembly. For more evaluation, performance of the proposed model is compared to ScalaDBG, as the state-of-the-art distributed assembler based on the multiple k-values strategy
Visuo-spatial imagery in dreams of congenitally and early blind: a systematic review
No full textBackground: The presence of visual imagery in dreams of congenitally blind people has long been a matter of substantial controversy. We set to systematically review body of published work on the presence and nature of oneiric visuo-spatial impressions in congenitally and early blind subjects across different areas of research, from experimental psychology, functional neuroimaging, sensory substitution, and sleep research. Methods: Relevant studies were identified using the following databases: EMBASE, MEDLINE and PsychINFO. Results: Studies using diverse imaging techniques and sensory substitution devices broadly suggest that the “blind” occipital cortex may be able to integrate non-visual sensory inputs, and thus possibly also generate visuo-spatial impressions. Visual impressions have also been reported by blind subjects who had near-death or out-of-body experiences. Conclusion: Deciphering the mechanistic nature of these visual impression could open new possibility in utilization of neuroplasticity and its potential role for treatment of neurodisability
Uncovering the latent structure of human time perception
No full textOne of the ongoing controversies in interval timing concerns whether human time perception relies on multiple distinct mechanisms. This debate centres around whether subsecond and suprasecond timing may be attributed to a single semi-uniform mechanism or separate and interacting mechanisms. Whereas past studies offer valuable insights, this study overcomes previous limitations by adopting multiple convergent statistical approaches in a design with strong statistical power. We conducted two online experiments involving participants reproducing temporal intervals ranging from 400 to 2400ms (Experiment 1; N=302) and 1000 to 2000ms (Experiment 2; N=302). We contrasted the application of exploratory factor analysis and structural equation modelling to differentiate distinct latent structures underlying duration reproduction patterns. Additionally, we compared the model outcomes with results from changepoint analysis models fitted to individual participants' data. In both experiments, these analyses yielded evidence for a two-factor model comprising a general timing factor spanning the full interval range and a second factor capturing the regression to the mean of presented stimulus intervals (central tendency bias). We observed a low proportion of detected changepoints, further supporting the limited evidence for a discontinuity between the distinct underlying mechanisms, while also finding that the changepoint detection was predicted by factor scores. These results highlight the role of central tendency effects in investigating changepoints and the continuity of timing systems. Our work contributes to integrating factor analytic and computational modelling approaches in the study of time perception and has implications for the measurement and interpretation of interval timing performance in a range of contexts
