82 research outputs found
Non-universal gauge bosons and rare top decays
We study a new method for detecting non-universal gauge bosons via
considering their effects on rare top decays. We calculate the contributions of
the non-universal gauge bosons predicted by topcolor-assisted technicolor
(TC2) models and flavor-universal TC2 models on the rare top decays
and , or . We show that the branching ratios of these processes
can be significantly enhanced. Over a sizable region of the parameter space, we
have and , which may approach the observable threshold of near
future experiments. Non-universal gauge bosons may be detected via the
rare top decay processes at the top-quark factories such as the CERN LHC.Comment: references adde
Terahertz imaging with sub-wavelength resolution by femtosecond laser filament in air
Terahertz (THz) imaging provides cutting edge technique in biology, medical
sciences and non-destructive evaluation. However, due to the long wavelength of
the THz wave, the obtained resolution of THz imaging is normally a few hundred
microns and is much lower than that of the traditional optical imaging. We
introduce a sub-wavelength resolution THz imaging technique which uses the THz
radiation generated by a femtosecond laser filament in air as the probe. This
method is based on the fact that the femtosecond laser filament forms a
waveguide for the THz wave in air. The diameter of the THz beam, which
propagates inside the filament, varies from 20 {\mu}m to 50 {\mu}m, which is
significantly smaller than the wavelength of the THz wave. Using this highly
spatially confined THz beam as the probe, THz imaging with resolution as high
as 20 {\mu}m (~{\lambda}/38) can be realized.Comment: 10 pages, 7 figure
Empathetic Response Generation with State Management
A good empathetic dialogue system should first track and understand a user's
emotion and then reply with an appropriate emotion. However, current approaches
to this task either focus on improving the understanding of users' emotion or
on proposing better responding strategies, and very few works consider both at
the same time. Our work attempts to fill this vacancy. Inspired by
task-oriented dialogue systems, we propose a novel empathetic response
generation model with emotion-aware dialogue management. The emotion-aware
dialogue management contains two parts: (1) Emotion state tracking maintains
the current emotion state of the user and (2) Empathetic dialogue policy
selection predicts a target emotion and a user's intent based on the results of
the emotion state tracking. The predicted information is then used to guide the
generation of responses. Experimental results show that dynamically managing
different information can help the model generate more empathetic responses
compared with several baselines under both automatic and human evaluations
MCDAN: a Multi-scale Context-enhanced Dynamic Attention Network for Diffusion Prediction
Information diffusion prediction aims at predicting the target users in the
information diffusion path on social networks. Prior works mainly focus on the
observed structure or sequence of cascades, trying to predict to whom this
cascade will be infected passively. In this study, we argue that user intent
understanding is also a key part of information diffusion prediction. We
thereby propose a novel Multi-scale Context-enhanced Dynamic Attention Network
(MCDAN) to predict which user will most likely join the observed current
cascades. Specifically, to consider the global interactive relationship among
users, we take full advantage of user friendships and global cascading
relationships, which are extracted from the social network and historical
cascades, respectively. To refine the model's ability to understand the user's
preference for the current cascade, we propose a multi-scale sequential
hypergraph attention module to capture the dynamic preference of users at
different time scales. Moreover, we design a contextual attention enhancement
module to strengthen the interaction of user representations within the current
cascade. Finally, to engage the user's own susceptibility, we construct a
susceptibility label for each user based on user susceptibility analysis and
use the rank of this label for auxiliary prediction. We conduct experiments
over four widely used datasets and show that MCDAN significantly overperforms
the state-of-the-art models. The average improvements are up to 10.61% in terms
of Hits@100 and 9.71% in terms of MAP@100, respectively
Lepton flavor violating processes in topcolor-assisted technicolor models
We study the lepton flavor violating (LFV) processes in the context of the topcolor-assisted technicolor
(TC2) models. We find that the branching ratios are larger than the branching ratios
in all of the parameter
space. Over a wide range of parameter space, we have and or . Taking into account the
bounds given by the experimental upper limit
on the free parameters of
TC2 models, we further give the upper limits of the LFV processes
. We hope that the results may
be useful to partly explain the data of the neutrino oscillations and the
future neutrino experimental data might be used to test TC2 models.Comment: to be published in Phys. Lett.
Non-universal gauge bosons and lepton flavor-violation tau decays
There are many models beyond the standard model predicting the existence of
non-universal gauge bosons , which can give rise to very rich
phenomena. We calculate the contributions of the non-universal gauge bosons
, predicted by topcolor-assisted technicolor (TC2) models and
flavor-universal TC2 models, to the lepton flavor-violation tau decays and . We find that the branching ratio
is larger than that of the process
in all of the parameter space. Over a sizable
region of the parameter space, we have , which may be detected in the future experiments.Comment: Final version to appear in Phys. Lett. B. References added and typos
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