10,824 research outputs found
Universal R-matrix Of The Super Yangian Double DY(gl(1|1))
Based on Drinfeld realization of super Yangian Double DY(gl(1|1)), its
pairing relations and universal R-matrix are given. By taking evaluation
representation of universal R-matrix, another realization of
DY(gl(1|1)) is obtained. These two realizations of DY(gl(1|1)) are related by
the supersymmetric extension of Ding-Frenkel map.Comment: 6 pages, latex, no figure
(2,4-Di-tert-butyl-6-{(E)-[(E)-2-(2-methoxybenzylideneamino)cyclohexyl]iminomethyl}phenolato)dimethylaluminum(III)
The title compound, [Al(CH3)2(C29H39N2O2)], exhibits disorder of one of the tert-butyl groups on the Schiff base ligand, where each methyl group is located over two sites, with occupancy factors of 0.57 (1) and 0.43 (1). The geometry around the AlIII atom is distorted tetrahedral, defined by two methyl groups, one N and one O atom from the Schiff base ligand
Mid-infrared spectrally-pure single-photon states generation from 22 nonlinear optical crystals
We theoretically investigate the preparation of pure-state single-photon
source from 14 birefringent crystals (CMTC, THI, LiIO, AAS, HGS, CGA, TAS,
AGS, AGSe, GaSe, LIS, LISe, LGS, and LGSe) and 8 periodic poling crystals (LT,
LN, KTP, KN, BaTiO, MgBaF, PMN-0.38PT, and OP-ZnSe) in a wavelength
range from 1224 nm to 11650 nm. The three kinds of group-velocity-matching
(GVM) conditions, the phase matching conditions, the spectral purity, and the
Hong-Ou-Mandel interference are calculated for each crystal. This study may
provide high-quality single-photon sources for quantum sensing, quantum
imaging, and quantum communication applications at the mid-infrared wavelength
range.Comment: 11 pages, 5 figure
catena-Poly[nickel(II)-bis(μ-2-aminoethanesulfonato-κ3 N,O:O′;κ3 O:N,O′)]
In the title polymeric complex, [Ni(C2H6NO3S)2]n, the NiII ion occupies a special position on an inversion centre and displays a slightly distorted octahedral coordination geometry, being linked to four sulfonate O atoms and to two N atoms of the taurine ligands. The sulfonate groups doubly bridge symmetry-related NiII centers, forming polymeric chains along the a axis
VDD: Varied Drone Dataset for Semantic Segmentation
Semantic segmentation of drone images is critical to many aerial vision tasks
as it provides essential semantic details that can compensate for the lack of
depth information from monocular cameras. However, maintaining high accuracy of
semantic segmentation models for drones requires diverse, large-scale, and
high-resolution datasets, which are rare in the field of aerial image
processing. Existing datasets are typically small and focus primarily on urban
scenes, neglecting rural and industrial areas. Models trained on such datasets
are not sufficiently equipped to handle the variety of inputs seen in drone
imagery. In the VDD-Varied Drone Dataset, we offer a large-scale and densely
labeled dataset comprising 400 high-resolution images that feature carefully
chosen scenes, camera angles, and varied light and weather conditions.
Furthermore, we have adapted existing drone datasets to conform to our
annotation standards and integrated them with VDD to create a dataset 1.5 times
the size of fine annotation of Cityscapes. We have developed a novel DeepLabT
model, which combines CNN and Transformer backbones, to provide a reliable
baseline for semantic segmentation in drone imagery. Our experiments indicate
that DeepLabT performs admirably on VDD and other drone datasets. We expect
that our dataset will generate considerable interest in drone image
segmentation and serve as a foundation for other drone vision tasks. VDD is
freely available on our website at https://vddvdd.com
Yangjing capsule attenuates cyclophosphamide-induced deficiency of testicular microcirculation in mice
Purpose: To explore the protective effects of Yangjing capsule (YC) on testicular microcirculation in a mouse model of deficiency of testicular microcirculation.
Methods: Immunohistochemistry was applied to determine the effects of YC on microvascular density of mice. The protein level of CD34 and vascular endothelial growth factor A (VEGF A) was measured by western blot. The viability of Testicular cell line (TM4 cells) was examined by CCK-8 assay.
Results: Histopathological changes demonstrated that CP-induced decrease of microvascular density of the mice was rescued by YC dose-dependently (p < 0.5). Western blot data showed that the protein levels of CD34 and VEGF A in CP group were significantly decreased, but dose-dependently increased by YC, respectively, following co-administration of CP + YC, compared with those in CP group (p < 0.5). The results from CCK-8 assay showed that the cell viability of TM4 cells increased with the amount of YC administered, and that high concentrations of YC (0.1 and 1 mg/mL) showed significant effects (p < 0.5). Moreover, YC showed little effect on VEGF A mRNA and protein expression in TM4 cells.
Conclusion: YC may be considered an alternative therapeutic agent for the management of testicular microcirculation disease. However, further studies are required to ascertain this.
Keywords: Yangjing Capsule, Testicular microcirculation, Cyclophosphamide, Vascular endothelial growth factor
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding
Knowledge graph embedding (KGE) that maps entities and relations into vector
representations is essential for downstream applications. Conventional KGE
methods require high-dimensional representations to learn the complex structure
of knowledge graph, but lead to oversized model parameters. Recent advances
reduce parameters by low-dimensional entity representations, while developing
techniques (e.g., knowledge distillation or reinvented representation forms) to
compensate for reduced dimension. However, such operations introduce
complicated computations and model designs that may not benefit large knowledge
graphs. To seek a simple strategy to improve the parameter efficiency of
conventional KGE models, we take inspiration from that deeper neural networks
require exponentially fewer parameters to achieve expressiveness comparable to
wider networks for compositional structures. We view all entity representations
as a single-layer embedding network, and conventional KGE methods that adopt
high-dimensional entity representations equal widening the embedding network to
gain expressiveness. To achieve parameter efficiency, we instead propose a
deeper embedding network for entity representations, i.e., a narrow entity
embedding layer plus a multi-layer dimension lifting network (LiftNet).
Experiments on three public datasets show that by integrating LiftNet, four
conventional KGE methods with 16-dimensional representations achieve comparable
link prediction accuracy as original models that adopt 512-dimensional
representations, saving 68.4% to 96.9% parameters
Data Processing Pipeline for Pointing Observations of Lunar-based Ultraviolet Telescope
We describe the data processing pipeline developed to reduce the pointing
observation data of Lunar-based Ultraviolet Telescope (LUT), which belongs to
the Chang'e-3 mission of the Chinese Lunar Exploration Program. The pointing
observation program of LUT is dedicated to monitor variable objects in a
near-ultraviolet (245-345 nm) band. LUT works in lunar daytime for sufficient
power supply, so some special data processing strategies have been developed
for the pipeline. The procedures of the pipeline include stray light removing,
astrometry, flat fielding employing superflat technique, source extraction and
cosmic rays rejection, aperture and PSF photometry, aperture correction, and
catalogues archiving, etc. It has been intensively tested and works smoothly
with observation data. The photometric accuracy is typically ~0.02 mag for LUT
10 mag stars (30 s exposure), with errors come from background noises,
residuals of stray light removing, and flat fielding related errors. The
accuracy degrades to be ~0.2 mag for stars of 13.5 mag which is the 5{\sigma}
detection limit of LUT.Comment: 10 pages, 7 figures, 4 tables. Minor changes and some expounding
words added. Version accepted for publication in Astrophysics and Space
Science (Ap&SS
- …