681 research outputs found
Twist-3 light-cone distribution amplitudes of the scalar mesons within the QCD sum rules and their application to the transition form factors
We investigate the twist-3 light-cone distribution amplitudes (LCDAs) of the
scalar mesons , and within the QCD sum rules. The QCD
sum rules are improved by a consistent treatment of the sizable -quark mass
effects within the framework of the background field approach. Adopting the
valence quark component as the dominant structure of the
scalar mesons, our estimation for their masses are close to the measured
, and . From the sum rules, we obtain
the first two non-zero moments of the twist-3 LCDAs :
and ; those of the twist-3 LCDAs
: and ; and those of the twist-3 LCDAs :
and , respectively. As an
application of those twist-3 LCDAs, we study the transition form
factors by introducing proper chiral currents into the correlator, which is
constructed such that the twist-3 LCDAs give dominant contribution and the
twist-2 LCDAs make negligible contribution. Our results of the
transition form factors at the large recoil region are
consistent with those obtained in the literature, which inversely shows the
present twist-3 LCDAs are acceptable.Comment: 14 pages, 12 figures, 7 table
Stability of Abstract Thermoelastic Systems with Cattaneo's Law and Inertial Term
This paper investigates the polynomial stability of solutions to abstract
thermoelastic systems with Cattaneo's law on Hilbert space. The study includes
two cases: one with an inertial term and the other without it. For the case
with an inertial term, we partition the region of parameters for
non-exponential stability into three sub-regions and obtain distinct polynomial
decay rates for each sub-region. Meanwhile, for the case without an inertial
term, we explore two areas and obtain dissimilar polynomial decay rates in
these areas. Moreover, we demonstrate that all the given polynomial decay rates
are sharp. Finally, we give some examples to explain our conclusion.Comment: typos correcte
Effects of the Pinggan Qianyang Recipe on MicroRNA Gene Expression in the Aortic Tissue of Spontaneously Hypertensive Rats
The present study aimed to investigate the relationship between miRNAs and in spontaneously hypertensive rats (SHR) vascular remodeling and analyze the impact of the Pinggan Qianyang recipe (PQR) on miRNAs. Mammalian miRNA microarrays containing 509 miRNA genes were employed to analyze the differentially expressed miRNAs in the three groups. MiRNAs were considered to be up- or downregulated when the fluorescent intensity ratio between the two groups was over 4-fold. Validation of those miRNAs changed in SHR after PQR treatment was used by real-time quantitative RT-PCR (qRT-PCR). Compared with the normal group, a total of 32 miRNAs were differentially expressed by more than twofold; among these, 18 were upregulated and 14 were downregulated in the model group. Compared with the normal group, there were a number of 17 miRNAs which were significantly expressed by more than twofold in the different expressions of 32 miRNAs; among these, 10 were downregulated and 7 were upregulated in the PQR group. qRT-PCR verified that miR-20a, miR-145, miR-30, and miR-98 were significantly expressed in the three groups. These data show that PQR could exert its antihypertensive effect through deterioration of the vascular remodeling process. The mechanism might be associated with regulating differentially expressed miRNAs in aorta tissue
The research progress of metabonomics in acupuncture field
本文综合分析了国内外关于代谢组学技术运用于针灸机理研究的相关文献,发现目前代谢组学方法已经广泛应用于针灸研究,但是代谢组学研究结果难以全面阐释针灸作用机理,研究结果分析局限于代谢模式改变的分析,缺乏大样本临床试验数据支撑,对针刺、艾灸治疗手段的始动机制研究甚少。This paper aimed to analyze the relevant literature on mechanism studies of metabonomics in acupuncture field. The results showed that currently metabolomics has been widely used in acupuncture research, but metabolomics studies are difficult to fully explain the mechanism of acupuncture, the analysis is limited at the changes of metabolic patterns, large scaled clinical trials were few, researches that focused on how acupuncture and moxibustion started were poor
Synergistic Effect of Trehalose and Saccharose Pretreatment on Maintenance of Lyophilized Human Red Blood Cell Quality
Purpose: To investigate the synergistic effect of trehalose and saccharose pretreatment on maintenance of lyophilized human red blood cell (RBC) quality.Methods: RBCs were pre-treated with trehalose and saccharose, and then lyophilized and re-hydrated. Prior to lyophilization and after re hydration, RBC parameters, RBC counts, total hemoglobin concentration, mean corpuscular hemoglobin (MCH), mean corpuscular volume (MCV), comprehensive deformation index, hemolysis ratio and phosphatidylserine (PS) expression, were determined using a hematology analyzer, an RBC deformation instrument, a spectrophotometer and a flow cytometer, respectively. Superoxide dismutase (SOD), glucose-6-phosphate dehydrogenase (G-6-PD), and adenosine triphosphatase (ATPase) activities were determined using kits for SOD, ATPase, and G-6- PD assay, respectively.Results: After lyophilization-rehydration, RBC counts and total hemoglobin recovery rates, deformability, and RBC SOD, ATPase, and G-6-PD activities were significantly decreased by 47.24 – 74.65 % (p < 0.01), compared with the normal group. RBC osmotic fragility and PS expression on the outer surface of the RBC membrane were significantly increased by 168.53 and 629.30 % (p < 0.01), respectively, compared with the normal group. RBC MCH and MCV values were not significantly affected by lyophilization rehydration (p > 0.05). Trehalose and saccharose pretreatment significantly reversed the effects of lyophilization-rehydration on these RBC parameters by approximately 13.16 – 211.11 % (p < 0.01), compared with the control group. The combined effects were synergistic.Conclusion: Trehalose and saccharose pretreatment synergistically enhances maintenance of lyophilized RBC quality.Keywords: Trehalose, Saccharose, Lyophilization, Red blood cell, Hematological parameter
Temporal Action Localization with Enhanced Instant Discriminability
Temporal action detection (TAD) aims to detect all action boundaries and
their corresponding categories in an untrimmed video. The unclear boundaries of
actions in videos often result in imprecise predictions of action boundaries by
existing methods. To resolve this issue, we propose a one-stage framework named
TriDet. First, we propose a Trident-head to model the action boundary via an
estimated relative probability distribution around the boundary. Then, we
analyze the rank-loss problem (i.e. instant discriminability deterioration) in
transformer-based methods and propose an efficient scalable-granularity
perception (SGP) layer to mitigate this issue. To further push the limit of
instant discriminability in the video backbone, we leverage the strong
representation capability of pretrained large models and investigate their
performance on TAD. Last, considering the adequate spatial-temporal context for
classification, we design a decoupled feature pyramid network with separate
feature pyramids to incorporate rich spatial context from the large model for
localization. Experimental results demonstrate the robustness of TriDet and its
state-of-the-art performance on multiple TAD datasets, including hierarchical
(multilabel) TAD datasets.Comment: An extended version of the CVPR paper arXiv:2303.07347, submitted to
IJC
ReAct: Temporal Action Detection with Relational Queries
This work aims at advancing temporal action detection (TAD) using an
encoder-decoder framework with action queries, similar to DETR, which has shown
great success in object detection. However, the framework suffers from several
problems if directly applied to TAD: the insufficient exploration of
inter-query relation in the decoder, the inadequate classification training due
to a limited number of training samples, and the unreliable classification
scores at inference. To this end, we first propose a relational attention
mechanism in the decoder, which guides the attention among queries based on
their relations. Moreover, we propose two losses to facilitate and stabilize
the training of action classification. Lastly, we propose to predict the
localization quality of each action query at inference in order to distinguish
high-quality queries. The proposed method, named ReAct, achieves the
state-of-the-art performance on THUMOS14, with much lower computational costs
than previous methods. Besides, extensive ablation studies are conducted to
verify the effectiveness of each proposed component. The code is available at
https://github.com/sssste/React.Comment: ECCV202
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