2,447 research outputs found
Doping and energy evolution of spin dynamics in the electron-doped cuprate superconductor PrLaCeCuO
The doping and energy evolution of the magnetic excitations of the
electron-doped cuprate superconductor PrLaCeCuO
in the superconducting state is studied based on the kinetic energy driven
superconducting mechanism. It is shown that there is a broad commensurate
scattering peak at low energy, then the resonance energy is located among this
low energy commensurate scattering range. This low energy commensurate
scattering disperses outward into a continuous ring-like incommensurate
scattering at high energy. The theory also predicts a dome shaped doping
dependent resonance energy.Comment: 8 pages, 4 figures, added discussions, replotted figures, and updated
references, accepted for publication in Phys. Rev.
High-Order Harmonic Generation and Molecular Orbital Tomography: Characteristics of Molecular Recollision Electronic Wave Packets
We investigate the orientation dependence of molecular high-order harmonic
generation (HHG) both numerically and analytically. We show that the molecular
recollision electronic wave packets (REWPs) in the HHG are closely related to
the ionization potential as well as the particular orbital from which it
ionized. As a result, the spectral amplitude of the molecular REWP can be
significantly different from its reference atom (i.e., with the same ionization
potential as the molecule under study) in some energy regions due to the
interference between the atomic cores of the molecules. This finding is
important for molecular orbital tomography using HHG[Nature \textbf{432},
867(2004)].Comment: 4 pages, 4 figure
Distance Guided Channel Weighting for Semantic Segmentation
Recent works have achieved great success in improving the performance of
multiple computer vision tasks by capturing features with a high channel number
utilizing deep neural networks. However, many channels of extracted features
are not discriminative and contain a lot of redundant information. In this
paper, we address above issue by introducing the Distance Guided Channel
Weighting (DGCW) Module. The DGCW module is constructed in a pixel-wise context
extraction manner, which enhances the discriminativeness of features by
weighting different channels of each pixel's feature vector when modeling its
relationship with other pixels. It can make full use of the high-discriminative
information while ignore the low-discriminative information containing in
feature maps, as well as capture the long-range dependencies. Furthermore, by
incorporating the DGCW module with a baseline segmentation network, we propose
the Distance Guided Channel Weighting Network (DGCWNet). We conduct extensive
experiments to demonstrate the effectiveness of DGCWNet. In particular, it
achieves 81.6% mIoU on Cityscapes with only fine annotated data for training,
and also gains satisfactory performance on another two semantic segmentation
datasets, i.e. Pascal Context and ADE20K. Code will be available soon at
https://github.com/LanyunZhu/DGCWNet
Modified Kedem-Katchalsky equations for osmosis through nano-pore
This work presents a modified Kedem-Katchalsky equations for osmosis through
nano-pore. osmotic reflection coefficient of a solute was found to be chiefly
affected by the entrance of the pore while filtration reflection coefficient
can be affected by both the entrance and the internal structure of the pore.
Using an analytical method, we get the quantitative relationship between
osmotic reflection coefficient and the molecule size. The model is verified by
comparing the theoretical results with the reported experimental data of
aquaporin osmosis. Our work is expected to pave the way for a better
understanding of osmosis in bio-system and to give us new ideas in designing
new membranes with better performance.Comment: 19 pages, 4 figure
Exploring transcriptional signalling mediated by OsWRKY13, a potential regulator of multiple physiological processes in rice
BACKGROUND Rice transcription regulator OsWRKY13 influences the functioning of more than 500 genes in multiple signalling pathways, with roles in disease resistance, redox homeostasis, abiotic stress responses, and development. RESULTS To determine the putative transcriptional regulation mechanism of OsWRKY13, the putative cis-acting elements of OsWRKY13-influenced genes were analyzed using the whole genome expression profiling of OsWRKY13-activated plants generated with the Affymetrix GeneChip Rice Genome Array. At least 39 transcription factor genes were influenced by OsWRKY13, and 30 of them were downregulated. The promoters of OsWRKY13-upregulated genes were overrepresented with W-boxes for WRKY protein binding, whereas the promoters of OsWRKY13-downregulated genes were enriched with cis-elements putatively for binding of MYB and AP2/EREBP types of transcription factors. Consistent with the distinctive distribution of these cis-elements in up- and downregulated genes, nine WRKY genes were influenced by OsWRKY13 and the promoters of five of them were bound by OsWRKY13 in vitro; all seven differentially expressed AP2/EREBP genes and six of the seven differentially expressed MYB genes were suppressed by in OsWRKY13-activated plants. A subset of OsWRKY13-influenced WRKY genes were involved in host-pathogen interactions. CONCLUSION These results suggest that OsWRKY13-mediated signalling pathways are partitioned by different transcription factors. WRKY proteins may play important roles in the monitoring of OsWRKY13-upregulated genes and genes involved in pathogen-induced defence responses, whereas MYB and AP2/EREBP proteins may contribute most to the control of OsWRKY13-downregulated genes.This work was supported by grants from the National Program of High Technology Development of China, the National Program on the Development of Basic Research in China, and the National Natural Science Foundation of China
G-CSF mobilized PBMCs contribute to the liver function of cirrhotic rats
On the basis of the recently recognized potential of bone marrow stem cells to give rise to hepatocytes, we here investigated the role of G-CSF priming PBMCs played in the liver of cirrhotic rats. The animal model of liver cirrhosis was induced by injecting CCl4 in SD rats, and G-CSF was administered in hematopoietic stem cell mobilization doses. After the liver
cirrhosis model was established, the female cirrhotic rats were divided into two groups. Group I only received G-CSF mobilization, group II received G-CSF mobilized PBMCs transplanted from the male cirrhotic rats. PKH26 staining and sex-determining region for the Y-chromosome gene were used to trace the transplanted cells. Liver function related factors were assayed under the animal automatic biochemistry analyzer, and the liver pathological changes were evaluated by HE staining. The comparative liver functions of the two groups were investigated by analysis of two sample t-tests. A P value of <0.05 was considered as
significant in all analyses. Our results showed that the transplanted PBMCs could locate in the livers of the female rats. In addition, compared with the group I, rats in group II displayed significant liver improvement in serum ALB, ALT, AST and TBIL (p<0.05). However, the semi-quantitative classification of the liver pathological changes in both groups did not indicate
a significant difference (p>0.05). The results indicated that mobilized PBMC transplant could contribute to liver function in cirrhotic livers, which might be an alternative therapy for liver cirrhosis
Anomalous c-axis charge dynamics in copper oxide materials
Within the t-J model, the c-axis charge dynamics of the copper oxide
materials in the underdoped and optimally doped regimes is studied by
considering the incoherent interlayer hopping. It is shown that the c-axis
charge dynamics is mainly governed by the scattering from the in-plane
fluctuation. In the optimally doped regime, the c-axis resistivity is a linear
in temperatures, and shows the metallic-like behavior for all temperatures,
while the c-axis resistivity in the underdoped regime is characterized by a
crossover from the high temperature metallic-like behavior to the low
temperature semiconducting-like behavior, which are consistent with experiments
and numerical simulations.Comment: 6 pages, Latex, Three figures are adde
Water and nitrogen availability co-control ecosystem CO2 exchange in a semiarid temperate steppe
Both water and nitrogen (N) availability have significant effects on ecosystem CO2 exchange (ECE), which includes net ecosystem productivity (NEP), ecosystem respiration (ER) and gross ecosystem photosynthesis (GEP). How water and N availability influence ECE in arid and semiarid grasslands is still uncertain. A manipulative experiment with additions of rainfall, snow and N was conducted to test their effects on ECE in a semiarid temperate steppe of northern China for three consecutive years with contrasting natural precipitation. ECE increased with annual precipitation but approached peak values at different precipitation amount. Water addition, especially summer water addition, had significantly positive effects on ECE in years when the natural precipitation was normal or below normal, but showed trivial effect on GEP when the natural precipitation was above normal as effects on ER and NEP offset one another. Nitrogen addition exerted non-significant or negative effects on ECE when precipitation was low but switched to a positive effect when precipitation was high, indicating N effect triggered by water availability. Our results indicate that both water and N availability control ECE and the effects of future precipitation changes and increasing N deposition will depend on how they can change collaboratively in this semiarid steppe ecosystem
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