2,070 research outputs found
Study of the excited charm and charm-strange mesons
We give a systematical study on the recently reported excited charm and
charm-strange mesons with potential spin-parity, including the
, , , ,
and . The main strong decay properties are
obtained by the framework of Bethe-Salpeter (BS) methods. Our results reveal
that the two charm-strange mesons can be well described by the further
- mixing scheme with a mixing angle of
degrees. The predicted decay ratio
for is .~ can also be
explained as the predominant state with a mixing angle of
degrees. Considering the mass range, and
are more likely to be the predominant states,
although the total widths under both the and assignments
have no great conflict with the current experimental data. The calculated width
for LHCb seems about 100 \si{MeV} larger than experimental
measurement if taking it as or dominant state .
The comparisons with other calculations and several important decay ratios are
also present. For the identification of these charm mesons, further
experimental information, such as
are necessary.Comment: 18 pages, 3 figure
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
HiCD: Change Detection in Quality-Varied Images via Hierarchical Correlation Distillation
Advanced change detection techniques primarily target image pairs of equal
and high quality. However, variations in imaging conditions and platforms
frequently lead to image pairs with distinct qualities: one image being
high-quality, while the other being low-quality. These disparities in image
quality present significant challenges for understanding image pairs
semantically and extracting change features, ultimately resulting in a notable
decline in performance. To tackle this challenge, we introduce an innovative
training strategy grounded in knowledge distillation. The core idea revolves
around leveraging task knowledge acquired from high-quality image pairs to
guide the model's learning process when dealing with image pairs that exhibit
differences in quality. Additionally, we develop a hierarchical correlation
distillation approach (involving self-correlation, cross-correlation, and
global correlation). This approach compels the student model to replicate the
correlations inherent in the teacher model, rather than focusing solely on
individual features. This ensures effective knowledge transfer while
maintaining the student model's training flexibility.Comment: accepted by TGR
Identification of the glycerol-3-phosphate dehydrogenase (GPDH) gene family in wheat and its expression profiling analysis under different stress treatments
Glycerol-3-phosphate dehydrogenase (GPDH) catalyses the interconversion of glycerol-3-phosphate (G3P) and dihydroxyacetone phosphate (DHAP), and plays key roles in different developmental processes and stress responses. GPDH family genes have been previously investigated in various plant species, such as Arabidopsis, maize, and soybean. However, very little is known in GPDH family genes in wheat. In this study, a total of 17 TaGPDH genes were identified from the wheat genome, including eight cytosolic GPDHs, six chloroplastic GPDHs and three mitochondrial GPDHs. Gene duplication analysis showed that segmental duplications contributed to the expansion of this gene family. Phylogenetic results showed that TaGPDHs were clustered into three groups with the same subcellular localization and domain distribution, and similar conserved motif arrangement and gene structure. Expression analysis based on the RNA-seq data showed that GPDH genes exhibited preferential expression in different tissues, and several genes displayed altered expression under various abiotic stresses. These findings provide the foundation for further research of wheat GPDH genes in plant growth, development and stress responses
Comparative analysis of layered structures in empirical investor networks and cellphone communication networks
Empirical investor networks (EIN) proposed by
\cite{Ozsoylev-Walden-Yavuz-Bildik-2014-RFS} are assumed to capture the
information spreading path among investors. Here, we perform a comparative
analysis between the EIN and the cellphone communication networks (CN) to test
whether EIN is an information exchanging network from the perspective of the
layer structures of ego networks. We employ two clustering algorithms
(-means algorithm and break algorithm) to detect the layer structures
for each node in both networks. We find that the nodes in both networks can be
clustered into two groups, one that has a layer structure similar to the
theoretical Dunbar Circle corresponding to that the alters in ego networks
exhibit a four-layer hierarchical structure with the cumulative number of 5,
15, 50 and 150 from the inner layer to the outer layer, and the other one
having an additional inner layer with about 2 alters compared with the Dunbar
Circle. We also find that the scale ratios, which are estimated based on the
unique parameters in the theoretical model of layer structures
\citep{Tamarit-Cuesta-Dunbar-Sanchez-2018-PNAS}, conform to a log-normal
distribution for both networks. Our results not only deepen our understanding
on the topological structures of EIN, but also provide empirical evidence of
the channels of information diffusion among investors.Comment: 9 pages, 9 figues, 3 table
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