253 research outputs found
Cold and Hot Nuclear Matter Effects on Charmonium Production in p+Pb Collisions at LHC Energy
We study cold and hot nuclear matter effects on charmonium production in p+Pb
collisions at TeV in a transport approach. At the
forward rapidity, the cold medium effect on all the states and the
hot medium effect on the excited states only can explain well the
and yield and transverse momentum distribution measured by the
ALICE collaboration, and we predict a significantly larger
broadening in comparison with . However, we can not reproduce the
and data at the backward rapidity with reasonable cold and hot
medium effects.Comment: 6 pages, 5 figure
Defect-Fluorite Gd2Zr2O7 Ceramics under Helium Irradiation: Amorphization, Cell Volume Expansion, and Multi-stage Bubble Formation
Here, we report a study on the radiation resistance enhancement of Gd2Zr2O7
nanograin ceramics, in which amorphization, cell volume expansion and
multi-stage helium (He) bubble formation are investigated and discussed.
Gd2Zr2O7 ceramics with a series of grain sizes (55-221 nm) were synthesized and
irradiated by 190 keV He ion beam up to a fluence of 5x10^17 ions/cm2. Both the
degree of post irradiation cell volume expansion and the amorphization fraction
appear to be size dependent. As the average grain size evolves from 55 to 221
nm, the degree of post irradiation cell volume expansion increases from 0.56 to
1.02 %, and the amorphization fraction increases from 6.8 to 11.1 %.
Additionally, the threshold He concentrations (at. %) of bubbles at different
formation stages and locations, including (1) bubbles at grain boundary, (2)
bubble-chains and (3) ribbon-like bubbles within the grain, are all found to be
much higher in the nanograin ceramic (55 nm) compared with that of the
submicron sample (221 nm). We conclude that grain boundary plays a critical
role in minimizing the structural defects, and inhibiting the multi-stage He
bubble formation process
Two-Stage Adaptive Network for Semi-Supervised Cross-Domain Crater Detection under Varying Scenario Distributions
Crater detection can provide valuable information for humans to explore the
topography and understand the history of extraterrestrial planets. Due to the
significantly varying scenario distributions, existing detection models trained
on known labelled crater datasets are hardly effective when applied to new
unlabelled planets. To address this issue, we propose a two-stage adaptive
network (TAN) for semi-supervised cross-domain crater detection. Our network is
built on the YOLOv5 detector, where a series of strategies are employed to
enhance its cross-domain generalisation ability. In the first stage, we propose
an attention-based scale-adaptive fusion (ASAF) strategy to handle objects with
significant scale variances. Furthermore, we propose a smoothing hard example
mining (SHEM) loss function to address the issue of overfitting on hard
examples. In the second stage, we propose a sort-based pseudo-labelling
fine-tuning (SPF) strategy for semi-supervised learning to mitigate the
distributional differences between source and target domains. For both stages,
we employ weak or strong image augmentation to suit different cross-domain
tasks. Experimental results on benchmark datasets demonstrate that the proposed
network can enhance domain adaptation ability for crater detection under
varying scenario distributions
Moringa oleifera leaf ethanolic extract benefits cashmere goat semen quality via improving rumen microbiota and metabolome
BackgroundArtificial insemination (AI) is an effective reproductive technique to improve the performance of cashmere goats and prevent the spread of diseases, and the quality of the semen determines the success of AI. The potential of Moringa oleifera leaf powder (MOLP) and Moringa oleifera leaf ethanolic extract (MOLE) to improve semen quality has been reported, but the underlying mechanisms remain unclear. For the purpose, 18 mature male cashmere goats were randomly assigned into three groups: the control (CON), MOLP, and MOLE groups. The CON group received distilled water orally; the MOLP group was orally treated with 200 mg/kg body weight (BW) MOLP; and the MOLE group was orally treated with 40 mg/kg BW MOLE.ResultsResults showed that MOLE contained long-chain fatty acids and flavonoids. Treatment with MOLP and MOLE increased the activities of the serum catalase, superoxide dismutase, and glutathione peroxidase (P < 0.05), enhanced the total antioxidant capacity (P < 0.05), and reduced the serum malondialdehyde level (P < 0.05). At the same time, MOLE increased the contents of serum gonadotropin releasing hormone and testosterone (P < 0.05). Moreover, MOLE significantly increased sperm concentration, motility, and viability (P < 0.05). Meanwhile, MOLE raised the Chao1 index (P < 0.05) and altered the composition of the rumen microbiota; it also raised the relative abundance of Treponema (P < 0.05) and Fibrobacter (P < 0.05) and reduced the relative abundance of Prevotella (P < 0.1). Correlation analysis revealed the genus Prevotella was significantly negatively correlated with sperm concentration, as well as sperm motility and viability. Furthermore, MOLE significantly increased the rumen levels of the steroid hormones testosterone and dehydroepiandrosterone (P < 0.05), as well as the polyunsaturated fatty acids (PUFAs) alpha-Linolenic acid, gamma-Linolenic acid, docosapentaenoic acid, and 9-S-Hydroperoxylinoleicacid (P < 0.05).ConclusionsOral MOLE supplementation can improve semen quality by increasing the antioxidant capacity and altering the rumen microbiota and metabolites of cashmere goats. Moreover, the MOLP supplementation could enhance the antioxidant capacity of cashmere goats
Robustness Analysis of License Plate Visual Positioning Method in Vehicle Collision Warning System
Chinese Fitness Equipment Status and Its Development Research in the Horizon of Public Fitness
Lumps, breathers and interaction solutions of a (3+1)-dimensional generalized Kadovtsev-Petviashvili equation
Long-time asymptotics for the nonlocal Kundu–nonlinear-Schrödinger equation by the nonlinear steepest descent method
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