11,112 research outputs found
Derivational Complexity in EFL Learners’ Development of Bi-clausal Wh-questions
This paper aims to investigate Korean learners’ interlanguage with respect to the production of English bi-clausal wh-questions. One hundred seven adult Korean-speaking learners of English in three proficiency groups took part in a production task designed to elicit English bi-clausal wh-questions. The study specifically asked what interlanguage structures Korean EFL learners would produce and whether the structures would change as learners’ English proficiency advances. The results revealed that Korean EFL learners produced a range of alternative bi-clausal structures, including wh-scope marking, silent scope marking, wh-scope marking with embedded wh-in-situ, L1 clause order, and wh-about-wh type constructions. Comparison of three proficiency groups showed that as the learners’ English proficiency increases, they tend to produce an increasing number of derivationally more complex alternatives. It is argued that derivational complexity plays a role in the developmental process of Korean EFL learners’ interlanguage for bi-clausal wh-questions
125 GeV Higgs as a pseudo-Goldstone boson in supersymmetry with vector-like matters
We propose a possibility of the 125 GeV Higgs being a pseudo-Goldstone boson
in supersymmetry with extra vector-like fermions. Higgs mass is obtained from
loops of top quark and vector-like fermions from the global symmetry breaking
scale f at around TeV. The mu, Bmu/mu \sim f are generated from the dynamics of
global symmetry breaking and the Higgs quartic coupling vanishes at f as tan
beta \simeq 1. The relation of msoft \sim with f \sim mu \sim m_soft
\sim TeV is obtained and large mu does not cause a fine tuning for the
electroweak symmetry breaking. The Higgs to di-photon rate can be enhanced from
the loop of uncolored vector-like matters. The stability problem of Higgs
potential with vector-like fermions can be nicely cured by the UV completion
with the Goldstone picture.Comment: 28 pages, 8 figure
Anti-anxiety effect of methanol extract of Pericarpium zanthoxyli using a strychnine-sensitive glycine receptor model
Purpose: To determine if the methanol extract of Pericarpium zanthoxyli exerts anti-anxiety effects and also to explore any probable anti-anxiety mechanism in vivo.Methods: The staircase test, elevated plus maze test, rota-rod treadmill test and convulsions induced by strychnine and picrotoxin on mice were tested to identify potential mechanism of anti-anxiety activity of the plant extract.Results: The plant extract (10 mg/kg, p.o.) significantly reduced rearing numbers in the staircase test while it increased the time spent in the open arms as well as the number of entries to the open arms in the elevated plus maze test, suggesting that it has significant anti-anxiety activity. Furthermore, the extract inhibited strychnine-induced convulsion. However, it had little effect on picrotoxin-induced convulsion, suggesting that its anti-anxiety activity may be linked to strychnine-sensitive glycine receptor and not GABA receptor.Conclusion: These results suggest that the Pericarpium zanthoxyli extract may be beneficial for the control of anxiety.Keywords: Anti-anxiety, Pericarpium zanthoxyli, Glycine Receptor, GABA Recepto
Click-aware purchase prediction with push at the top
Eliciting user preferences from purchase records for performing purchase
prediction is challenging because negative feedback is not explicitly observed,
and because treating all non-purchased items equally as negative feedback is
unrealistic. Therefore, in this study, we present a framework that leverages
the past click records of users to compensate for the missing user-item
interactions of purchase records, i.e., non-purchased items. We begin by
formulating various model assumptions, each one assuming a different order of
user preferences among purchased, clicked-but-not-purchased, and non-clicked
items, to study the usefulness of leveraging click records. We implement the
model assumptions using the Bayesian personalized ranking model, which
maximizes the area under the curve for bipartite ranking. However, we argue
that using click records for bipartite ranking needs a meticulously designed
model because of the relative unreliableness of click records compared with
that of purchase records. Therefore, we ultimately propose a novel
learning-to-rank method, called P3Stop, for performing purchase prediction. The
proposed model is customized to be robust to relatively unreliable click
records by particularly focusing on the accuracy of top-ranked items.
Experimental results on two real-world e-commerce datasets demonstrate that
P3STop considerably outperforms the state-of-the-art implicit-feedback-based
recommendation methods, especially for top-ranked items.Comment: For the final published journal version, see
https://doi.org/10.1016/j.ins.2020.02.06
Study of the Top-quark Pair Production in Association with a Bottom-quark Pair from Fast Simulations at the LHC
A large number of top quarks will be produced at the Large Hadron Collider
(LHC) for Run II period. This will allow us to measure the rare processes from
the top sector in great details. We present the study of the top-quark pair
production in association with a bottom-quark pair (ttbb) from fast simulations
for the Compact Muon Solenoid (CMS) experiment. The differential distributions
of ttbb are compared with the top-quark pair production with two additional
jets (ttjj) and with the production in association with the Higgs (ttH), where
the Higgs decays to a bottom-quark pair. The significances of ttbb process in
the dileptonic and semileptonic decay mode are calculated with the data
corresponding to an integrated luminosity of 10 fb-1, which is foreseen to be
collected in the early Run II period. This study will be an important input in
searching for new physics beyond the standard model as well as in searching for
ttH process where the Yukawa coupling with the top quark can be directly
measured.Comment: 12 pages, 12 figure
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