8,407 research outputs found
Study the Heavy Molecular States in Quark Model with Meson Exchange Interaction
Some charmonium-like resonances such as X(3872) can be interpreted as
possible molecular states. Within the quark model, we study
the structure of such molecular states and the similar
molecular states by taking into account of the light meson exchange (,
, , and ) between two light quarks from different
mesons
Strong Decays of the Orbitally Excited Scalar Mesons
We calculate the two-body strong decays of the orbitally excited scalar
mesons and by using the relativistic Bethe-Salpeter
(BS) method. was observed recently by the LHCb Collaboration, the
quantum number of which has not been determined yet. In this paper, we assume
that it is the state and obtain the transition amplitude by using the
PCAC relation, low-energy theorem and effective Lagrangian method. For the
state, the total widths of and are 226 MeV
and 246 MeV, respectively. With the assumption of state, the widths
of and are both about 131 MeV, which is close
to the present experimental data. Therefore, is a strong
candidate for the state.Comment: 21 pages, 10 figure
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery
The extraction of sequence patterns from a collection of functionally linked
unlabeled DNA sequences is known as DNA motif discovery, and it is a key task
in computational biology. Several deep learning-based techniques have recently
been introduced to address this issue. However, these algorithms can not be
used in real-world situations because of the need for labeled data. Here, we
presented RL-MD, a novel reinforcement learning based approach for DNA motif
discovery task. RL-MD takes unlabelled data as input, employs a relative
information-based method to evaluate each proposed motif, and utilizes these
continuous evaluation results as the reward. The experiments show that RL-MD
can identify high-quality motifs in real-world data.Comment: This paper is accepted by DSAA2022. The 9th IEEE International
Conference on Data Science and Advanced Analytic
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