3,348 research outputs found

    Comparing the Effectiveness of Phrase-Focused Exercises. A Partial Replication of Boers, Demecheleer, Coxhead, and Webb (2014)

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    In a recent article, Boers, Demecheleer, Coxhead, and Webb (2014) deplored the lack of effectiveness for the learning of verb-noun collocations of a number of exercise formats which they sampled from EFL textbooks and put to the test in a series of quasi-experimental trials. The authors called for further investigations into possible improvements to such exercise formats. The present article is a response to that call. It also addresses methodological issues which may have affected Boers et al.’s (2014) findings and which rendered their conclusions tentative. In the quasi-experiment reported here, EFL learners were given fill-in-the-blank exercises on verb-noun phrases in one of three formats: (1) choose the appropriate verb, (2) complete the verb by using a first-letter cue, and (3) choose the appropriate intact phrase. A delayed post-test gauged the learners’ ability to recall the meaning of the phrases as well as their verb-noun partnership. In both regards the exercise where learners worked with intact phrases generated the best results. We then evaluate the extent to which exercises for phrase learning in ten recent EFL textbooks accord with recommendations that follow from the quasi-experimental findings

    Topological aspects of the critical three-state Potts model

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    We explore the topological defects of the critical three-state Potts spin system on the torus, Klein bottle and cylinder. A complete characterization is obtained by breaking down the Fuchs-Runkel-Schweigert construction of 2d rational CFT to the lattice setting. This is done by applying the strange correlator prescription to the recently obtained tensor network descriptions of string-net ground states in terms of bimodule categories [Lootens, Fuchs, Haegeman, Schweigert, Verstraete, SciPost Phys. 10, 053 (2021)]. The symmetries are represented by matrix product operators (MPO), as well as intertwiners between the diagonal tetracritical Ising model and the non-diagonal three-state Potts model. Our categorical construction lifts the global transfer matrix symmetries and intertwiners, previously obtained by solving Yang-Baxter equations, to MPO symmetries and intertwiners that can be locally deformed, fused and split. This enables the extraction of conformal characters from partition functions and yields a comprehensive picture of all boundary conditions.Comment: 71 pages, many figures, includes supplementary materia

    Thermal Analysis of a Solar External Receiver Tube with a Novel Component of Guide Vanes

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    The heat transfer performance of a solar external receiver tube with guide vanes was numerically studied under non-uniform heat flux conditions. Models of the smooth tube and the tube with guide vanes were built. The distributions of the temperature, velocity, turbulence intensity, and Nu predicted by these two models were compared to investigate the heat transfer enhancement and the mixing effect of the guide vanes. The effect of the Re and the α on the heat transfer enhancement was also studied. The results show that the guide vanes form spiraling flows, reduce the maximum tube and molten salt temperatures, and improve the heat transfer. In addition, a more uniform temperature distribution is achieved compared to the smooth tube, allowing the molten salt to work safely under higher heat flux conditions in the receiver tube with guide vanes. It was observed that a larger Re enhances the heat transfer on the tube wall and achieves a longer effective distance of enhanced heat transfer in the downstream region, while the spiraling flow, the heat transfer enhancement, and the mixing are stronger for a larger

    NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies

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    Zero-cost proxies (ZC proxies) are a recent architecture performance prediction technique aiming to significantly speed up algorithms for neural architecture search (NAS). Recent work has shown that these techniques show great promise, but certain aspects, such as evaluating and exploiting their complementary strengths, are under-studied. In this work, we create NAS-Bench-Suite: we evaluate 13 ZC proxies across 28 tasks, creating by far the largest dataset (and unified codebase) for ZC proxies, enabling orders-of-magnitude faster experiments on ZC proxies, while avoiding confounding factors stemming from different implementations. To demonstrate the usefulness of NAS-Bench-Suite, we run a large-scale analysis of ZC proxies, including a bias analysis, and the first information-theoretic analysis which concludes that ZC proxies capture substantial complementary information. Motivated by these findings, we present a procedure to improve the performance of ZC proxies by reducing biases such as cell size, and we also show that incorporating all 13 ZC proxies into the surrogate models used by NAS algorithms can improve their predictive performance by up to 42%. Our code and datasets are available at https://github.com/automl/naslib/tree/zerocost.Comment: NeurIPS Datasets and Benchmarks Track 202

    Bandit Models of Human Behavior: Reward Processing in Mental Disorders

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    Drawing an inspiration from behavioral studies of human decision making, we propose here a general parametric framework for multi-armed bandit problem, which extends the standard Thompson Sampling approach to incorporate reward processing biases associated with several neurological and psychiatric conditions, including Parkinson's and Alzheimer's diseases, attention-deficit/hyperactivity disorder (ADHD), addiction, and chronic pain. We demonstrate empirically that the proposed parametric approach can often outperform the baseline Thompson Sampling on a variety of datasets. Moreover, from the behavioral modeling perspective, our parametric framework can be viewed as a first step towards a unifying computational model capturing reward processing abnormalities across multiple mental conditions.Comment: Conference on Artificial General Intelligence, AGI-1
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