3,258 research outputs found
Time-dependent generator coordinate method study of mass-asymmetric fission of actinides
Low-energy positive and negative parity collective states in the equilibrium
minimum, and the dynamics of induced fission of actinide nuclei are
investigated in a unified theoretical framework based on the generator
coordinate method (GCM) with the Gaussian overlap approximation (GOA). The
collective potential and inertia tensor, both at zero and finite temperature,
are computed using the self-consistent multidimensionally constrained
relativistic mean field (MDC-RMF) model, based on the energy density functional
DD-PC1. Pairing correlations are treated in the BCS approximation with a
separable pairing force of finite range. A collective quadrupole-octupole
Hamiltonian characterized by zero-temperature axially-symmetric deformation
energy surface and perturbative cranking inertia tensor, is used to model the
low-lying excitation spectrum. The fission fragment charge distributions are
obtained by propagating the initial collective states in time with the
time-dependent GCM+GOA that uses the same quadrupole-octupole Hamiltonian, but
with the collective potential and inertia tensor computed at finite
temperature. The illustrative charge yields of Th, U,
Pu, Cm, and Cf are in very good agreement with
experiment, and the predicted mass asymmetry is consistent with the result of a
recent microscopic study that has attributed the distribution (peak) of the
heavier-fragment nuclei to shell-stabilized octupole deformations.Comment: 10 pages, 8 figures. arXiv admin note: text overlap with
arXiv:1809.0614
2-[3-(2-Chlorophenyl)-5-oxo-1,5-diphenylpentylidene]malononitrile
In the title compound, C26H19ClN2O, the 2-chlorophenyl group forms dihedral angles of 59.6 (1) and 31.9 (1)° with the phenyl rings. The two phenyl rings are inclined at a dihedral angle of 32.9 (1)° with respect to each other. In the crystal, an intermolecular C—H⋯N hydrogen bond links the molecules into a polymeric chain running along the c axis
Zearalenone: A Mycotoxin With Different Toxic Effect in Domestic and Laboratory Animals’ Granulosa Cells
Zearalenone (ZEA), one of the most prevalent estrogenic mycotoxins, is mainly produced by Fusarium fungi and has been proven to affect the reproductive capacity of animals. Exposure of farm animals to ZEA is a global public health concern because of its toxicity and wide distribution in animal feeds. In vitro and in vivo experiments indicate that ZEA possesses estrogenic activity in mice, swine, Equus asinus and cattle. The precise mechanism of the reproductive toxicity of ZEA has not been established yet. This article reviews evidence on the deleterious effects of ZEA on mammalian folliculogenesis from early to final oogenesis stages. Such effects include impaired granulosa cell (GC) development and follicle steroidogenesis, reduced oocyte nest breakdown, damaged meiotic progression, poor fetal oocyte survival, accelerated primordial follicle activation and enhanced follicle atresia. These phenomena may result in reproductive and non-reproductive problems in domestic animals. In addition, emerging data indicates that ZEA may cause mRNA expression changes in the GCs. In general, E. asinus is more sensitive than swine to ZEA exposure. Finally, results of in vivo animal studies and in vitro tests are reported and discussed
Elevated circulating level of P2X7 receptor is related to severity of coronary artery stenosis and prognosis of acute myocardial infarction
Background: Acute myocardial infarction (AMI) is a severely life-threatening cardiovascular disease. Previous research has identified an association between the P2X7 receptor (P2X7R) and the development of atherosclerosis. However, the correlation of its expression with the clinical prognosis of patients with AMI remains unclear. The present study aimed to investigate the potential role of P2X7R in Chinese patients with AMI.
Methods: Seventy-nine patients with AMI and 48 controls were consecutively enrolled in this prospective observational study. Circulating P2X7R mRNA expression levels and other clinical variables were determined upon admission to the hospital. Patients were followed up for 360 days, and the end-point was considered as the occurrence of major adverse cardiovascular events (MACE).
Results: Circulating P2X7R mRNA expression level in peripheral blood mononuclear cells of patients with AMI were significantly higher than those in controls and had promising diagnostic ability of AMI with an area under the curve of 0.928. Furthermore, P2X7R was demonstrated to be correlated positively with the severity of coronary artery stenosis. Additionally, this is the first study to indicate that higher P2X7R mRNA expression is associated with a higher rate of MACE within 360 days after AMI.
Conclusions: The present study showed that the circulating level of P2X7R was elevated in AMI patients and was closely associated with the severity of coronary artery stenosis and prognosis of AMI
5-Phenyl-3,4,4a,5,6,12c-hexahydro-2H-benzo[f]pyrano[3,2-c]quinoline
In the title compound, C22H21N, the pyridine ring adopts a distorted boat conformation, while the adjacent pyran ring adopts a chair conformation; the heterocyclic rings make a dihedral angle of 40.1 (2)° with each other
Real-World Image Super Resolution via Unsupervised Bi-directional Cycle Domain Transfer Learning based Generative Adversarial Network
Deep Convolutional Neural Networks (DCNNs) have exhibited impressive
performance on image super-resolution tasks. However, these deep learning-based
super-resolution methods perform poorly in real-world super-resolution tasks,
where the paired high-resolution and low-resolution images are unavailable and
the low-resolution images are degraded by complicated and unknown kernels. To
break these limitations, we propose the Unsupervised Bi-directional Cycle
Domain Transfer Learning-based Generative Adversarial Network (UBCDTL-GAN),
which consists of an Unsupervised Bi-directional Cycle Domain Transfer Network
(UBCDTN) and the Semantic Encoder guided Super Resolution Network (SESRN).
First, the UBCDTN is able to produce an approximated real-like LR image through
transferring the LR image from an artificially degraded domain to the
real-world LR image domain. Second, the SESRN has the ability to super-resolve
the approximated real-like LR image to a photo-realistic HR image. Extensive
experiments on unpaired real-world image benchmark datasets demonstrate that
the proposed method achieves superior performance compared to state-of-the-art
methods.Comment: 12 pages, 5 figures,3 tables. This work is submitted to IEEE
Transactions on Systems, Man, and Cybernetics: Systems (2022). It's under
review by IEEE Transactions on Systems, Man, and Cybernetics: Systems for no
N
The soliton interaction is investigated based on solving the nonisospectral generalized Sawada-Kotera (GSK) equation. By using Hirota method, the analytic one-, two-, three-, and N-soliton solutions of this model are obtained. According to those solutions, the relevant properties and features of line-soliton and bright-soliton are illustrated. The results of this paper will be useful to the study of soliton resonance in the inhomogeneous media
Content-Aware Quantization Index Modulation:Leveraging Data Statistics for Enhanced Image Watermarking
Image watermarking techniques have continuously evolved to address new
challenges and incorporate advanced features. The advent of data-driven
approaches has enabled the processing and analysis of large volumes of data,
extracting valuable insights and patterns. In this paper, we propose two
content-aware quantization index modulation (QIM) algorithms: Content-Aware QIM
(CA-QIM) and Content-Aware Minimum Distortion QIM (CAMD-QIM). These algorithms
aim to improve the embedding distortion of QIM-based watermarking schemes by
considering the statistics of the cover signal vectors and messages. CA-QIM
introduces a canonical labeling approach, where the closest coset to each cover
vector is determined during the embedding process. An adjacency matrix is
constructed to capture the relationships between the cover vectors and
messages. CAMD-QIM extends the concept of minimum distortion (MD) principle to
content-aware QIM. Instead of quantizing the carriers to lattice points,
CAMD-QIM quantizes them to close points in the correct decoding region.
Canonical labeling is also employed in CAMD-QIM to enhance its performance.
Simulation results demonstrate the effectiveness of CA-QIM and CAMD-QIM in
reducing embedding distortion compared to traditional QIM. The combination of
canonical labeling and the minimum distortion principle proves to be powerful,
minimizing the need for changes to most cover vectors/carriers. These
content-aware QIM algorithms provide improved performance and robustness for
watermarking applications.Comment: 12 pages, 10 figure
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