291 research outputs found
Coupled-Channel-Induced mixing of Charmonia and Testing Possible Assignments for and
The mass spectrum and the two-body open-charm decays of the
charmonium states are studied with the coupled-channel effects taken into
account. The coupled-channel-induced mixing effects among the excited vector
charmonia are studied. Based on our calculations of the masses and the decay
widths, we find that the tension between the observed properties of
and their conventional charmonia interpretations could be
softened.Comment: 13 pages, 5 figures, 5 table
Novel numerical analysis of multi-term time fractional viscoelastic non-Newtonian fluid models for simulating unsteady MHD Couette flow of a generalized Oldroyd-B fluid
In recent years, non-Newtonian fluids have received much attention due to
their numerous applications, such as plastic manufacture and extrusion of
polymer fluids. They are more complex than Newtonian fluids because the
relationship between shear stress and shear rate is nonlinear. One particular
subclass of non-Newtonian fluids is the generalized Oldroyd-B fluid, which is
modelled using terms involving multi-term time fractional diffusion and
reaction. In this paper, we consider the application of the finite difference
method for this class of novel multi-term time fractional viscoelastic
non-Newtonian fluid models. An important contribution of the work is that the
new model not only has a multi-term time derivative, of which the fractional
order indices range from 0 to 2, but also possesses a special time fractional
operator on the spatial derivative that is challenging to approximate. There
appears to be no literature reported on the numerical solution of this type of
equation. We derive two new different finite difference schemes to approximate
the model. Then we establish the stability and convergence analysis of these
schemes based on the discrete norm and prove that their accuracy is of
and ,
respectively. Finally, we verify our methods using two numerical examples and
apply the schemes to simulate an unsteady magnetohydrodynamic (MHD) Couette
flow of a generalized Oldroyd-B fluid model. Our methods are effective and can
be extended to solve other non-Newtonian fluid models such as the generalized
Maxwell fluid model, the generalized second grade fluid model and the
generalized Burgers fluid model.Comment: 19 pages, 8 figures, 3 table
An unstructured mesh control volume method for two-dimensional space fractional diffusion equations with variable coefficients on convex domains
In this paper, we propose a novel unstructured mesh control volume method to
deal with the space fractional derivative on arbitrarily shaped convex domains,
which to the best of our knowledge is a new contribution to the literature.
Firstly, we present the finite volume scheme for the two-dimensional space
fractional diffusion equation with variable coefficients and provide the full
implementation details for the case where the background interpolation mesh is
based on triangular elements. Secondly, we explore the property of the
stiffness matrix generated by the integral of space fractional derivative. We
find that the stiffness matrix is sparse and not regular. Therefore, we choose
a suitable sparse storage format for the stiffness matrix and develop a fast
iterative method to solve the linear system, which is more efficient than using
the Gaussian elimination method. Finally, we present several examples to verify
our method, in which we make a comparison of our method with the finite element
method for solving a Riesz space fractional diffusion equation on a circular
domain. The numerical results demonstrate that our method can reduce CPU time
significantly while retaining the same accuracy and approximation property as
the finite element method. The numerical results also illustrate that our
method is effective and reliable and can be applied to problems on arbitrarily
shaped convex domains.Comment: 18 pages, 5 figures, 9 table
Safety and efficacy of early radiofrequency catheter ablation in patients with paroxysmal atrial fibrillation complicated with amiodarone-induced thyrotoxicosis
Background: Amiodarone is an antiarrhythmic drug that is frequently used to control atrial fibrillation (AF). Many patients with AF are afraid of the risk of ablation and take amiodarone, some patients develop amiodarone-induced thyrotoxicosis (AIT). The purpose of the study was to investigate the safety and efficacy of early radiofrequency catheter ablation in patients with paroxysmal AF complicated with AIT.
Methods: From the 146 consecutive patients with paroxysmal AF who had been treated with amiodarone and underwent 3-dimensional mapping system guided circumferential pulmonary vein isolation (PVI) at our center from January 2013 to June 2014, 20 had developed AIT. Thirty controls with normal thyroid function and matched for baseline characteristics were selected.
Results: Pulmonary vein isolation was completed in all patients without serious complications and with similar procedural (170.60 ± 14.80 vs. 158.18 ± 9.06 min; p = 0.062) and X-ray exposure (16.48 ± 2.15 vs. 15.36 ± 1.57 min; p = 0.058) time in AIT vs. control groups; however, upon coronary sinus catheter pacing (from 300 ms to 200 ms) after intravenous isoproterenol administration 30 min post PVI, rates of induction of AF (35% vs. 3.33%; p = 0.005) and of non-pulmonary vein-related atrial tachyarrhythmias (50% vs. 6.67%; p = 0.01) were higher, while those for atrial flutter (15% vs. 3.33%; p = 0.17) and atrial tachycardia (15% vs. 6.67%; p = 0.31) were similar, as was the recovery of conduction of pulmonary vein potential (15% vs. 30%; p = 0.191). In AIT vs. control group, atrial tachyarrhythmia recurrence rate was higher at 3 months (45% vs. 16.67%, p = 0.032) but not between 3 and 12 months (30% vs. 23.33%; p = 0.418) follow-up.
Conclusions: Early catheter ablation for paroxysmal AF in patients with AIT appeared safe and effective albeit with higher atrial tachyarrhythmia recurrence rate up to 3 months but not beyond 12 months after PVI relative to controls.
A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification
Cross-domain text classification aims to adapt models to a target domain that
lacks labeled data. It leverages or reuses rich labeled data from the different
but related source domain(s) and unlabeled data from the target domain. To this
end, previous work focuses on either extracting domain-invariant features or
task-agnostic features, ignoring domain-aware features that may be present in
the target domain and could be useful for the downstream task. In this paper,
we propose a two-stage framework for cross-domain text classification. In the
first stage, we finetune the model with mask language modeling (MLM) and
labeled data from the source domain. In the second stage, we further fine-tune
the model with self-supervised distillation (SSD) and unlabeled data from the
target domain. We evaluate its performance on a public cross-domain text
classification benchmark and the experiment results show that our method
achieves new state-of-the-art results for both single-source domain adaptations
(94.17% 1.03%) and multi-source domain adaptations (95.09%
1.34%)
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