354 research outputs found
Direct observation of high-speed plasma outflows produced by magnetic reconnection in solar impulsive events
Spectroscopic observations of a solar limb flare recorded by SUMER on SOHO
reveal, for the first time, hot fast magnetic reconnection outflows in the
corona. As the reconnection site rises across the SUMER spectrometer slit,
significant blue- and red-shift signatures are observed in sequence in the Fe
XIX line, reflecting upflows and downflows of hot plasma jets, respectively.
With the projection effect corrected, the measured outflow speed is between
900-3500 km/s, consistent with theoretical predictions of the Alfvenic outflows
in magnetic reconnection region in solar impulsive events. Based on theoretic
models, the magnetic field strength near the reconnection region is estimated
to be 19-37 Gauss.Comment: 5 pages, 6 color figures, 1 animation onlin
The impact of external plant carbon sources on nitrogen removal and microbial community structure in vertical flow constructed wetlands
The present study was developed to explore nitrogen removal performance and associated microbial mechanisms of action in vertical flow constructed wetlands (VFCWs) when using external carbon sources. These analyses ultimately revealed that alkali-soaked Phragmites australis (P. australis) could serve as an effective plant carbon source, exhibiting the lower levels of total nitrogen (TN) release and the highest chemical oxygen demand (COD) of all tested carbon sources. Nitrogen removal efficiency improved following the addition of plant carbon sources, and under carbon/nitrogen (C/N) rations of 2, 4, 5, and 7, the VFCW system was able to remove 43.69%–75.76% TN, with the highest removal rate being observed at a C/N of 5. The abundance of denitrifying microorganisms such as Thiobaillus and Halomonas were also more enriched in VFCW1 than VFCW0, with stronger correlations in the microbial network community. A qPCR approach was used to analyze functional genes involved in denitrification, revealing that the addition of plant carbon sources was associated with increases in total gene abundance and the abundance of the denitrifying gene nirS, whereas no corresponding increase in amoA or nxrA abundance was observed. Higher total gene, amoA, and nxrA abundance were observed in the upper levels of these VFCW systems as compared to the lower layers, whereas nirS exhibited the opposite abundance pattern. Overall, these findings suggested that short-range denitrification is likely to be the primary denitrification process active in this VFCW system
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification
Although significant progress has been made in few-shot learning, most of
existing few-shot image classification methods require supervised pre-training
on a large amount of samples of base classes, which limits their generalization
ability in real world application. Recently, large-scale Vision-Language
Pre-trained models (VLPs) have been gaining increasing attention in few-shot
learning because they can provide a new paradigm for transferable visual
representation learning with easily available text on the Web. However, the
VLPs may neglect detailed visual information that is difficult to describe by
language sentences, but important for learning an effective classifier to
distinguish different images. To address the above problem, we propose a new
framework, named Semantic-guided Visual Adapting (SgVA), which can effectively
extend vision-language pre-trained models to produce discriminative adapted
visual features by comprehensively using an implicit knowledge distillation, a
vision-specific contrastive loss, and a cross-modal contrastive loss. The
implicit knowledge distillation is designed to transfer the fine-grained
cross-modal knowledge to guide the updating of the vision adapter.
State-of-the-art results on 13 datasets demonstrate that the adapted visual
features can well complement the cross-modal features to improve few-shot image
classification
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A DNA aptamer for binding and inhibition of DNA methyltransferase 1.
DNA methyltransferases (DNMTs) are enzymes responsible for establishing and maintaining DNA methylation in cells. DNMT inhibition is actively pursued in cancer treatment, dominantly through the formation of irreversible covalent complexes between small molecular compounds and DNMTs that suffers from low efficacy and high cytotoxicity, as well as no selectivity towards different DNMTs. Herein, we discover aptamers against the maintenance DNA methyltransferase, DNMT1, by coupling Asymmetrical Flow Field-Flow Fractionation (AF4) with Systematic Evolution of Ligands by EXponential enrichment (SELEX). One of the identified aptamers, Apt. #9, contains a stem-loop structure, and can displace the hemi-methylated DNA duplex, the native substrate of DNMT1, off the protein on sub-micromolar scale, leading for effective enzymatic inhibition. Apt. #9 shows no inhibition nor binding activity towards two de novo DNMTs, DNMT3A and DNMT3B. Intriguingly, it can enter cancer cells with over-expression of DNMT1, colocalize with DNMT1 inside the nuclei, and inhibit the activity of DNMT1 in cells. This study opens the possibility of exploring the aptameric DNMT inhibitors being a new cancer therapeutic approach, by modulating DNMT activity selectively through reversible interaction. The aptamers could also be valuable tools for study of the functions of DNMTs and the related epigenetic mechanisms
CLIP-VG: Self-paced Curriculum Adapting of CLIP for Visual Grounding
Visual Grounding (VG) is a crucial topic in the field of vision and language,
which involves locating a specific region described by expressions within an
image. To reduce the reliance on manually labeled data, unsupervised methods
have been developed to locate regions using pseudo-labels. However, the
performance of existing unsupervised methods is highly dependent on the quality
of pseudo-labels and these methods always encounter issues with limited
diversity. In order to utilize vision and language pre-trained models to
address the grounding problem, and reasonably take advantage of pseudo-labels,
we propose CLIP-VG, a novel method that can conduct self-paced curriculum
adapting of CLIP with pseudo-language labels. We propose a simple yet efficient
end-to-end network architecture to realize the transfer of CLIP to the visual
grounding. Based on the CLIP-based architecture, we further propose
single-source and multi-source curriculum adapting algorithms, which can
progressively find more reliable pseudo-labels to learn an optimal model,
thereby achieving a balance between reliability and diversity for the
pseudo-language labels. Our method outperforms the current state-of-the-art
unsupervised method by a significant margin on RefCOCO/+/g datasets in both
single-source and multi-source scenarios, with improvements ranging from 6.78%
to 10.67% and 11.39% to 14.87%, respectively. Furthermore, our approach even
outperforms existing weakly supervised methods. The code and models are
available at https://github.com/linhuixiao/CLIP-VG.Comment: Accepted by IEEE Transaction on Multimedia (2023), Paper page:
https://ieeexplore.ieee.org/abstract/document/10269126. Code will be released
at https://github.com/linhuixiao/CLIP-V
Evolution of magnetic field of the Quasar 1604+159 at pc scale
We have analyzed the total intensity, spectral index, linear polarization,
and RM distributions at pc scale for the quasar 1604+159. The source was
observed in 2002 and 2020 with the VLBA. Combining the MOJAVE results, we
studied the evolution of the magnetic field. We detected a core-jet structure.
The jet extends to a distance of ~25 mas. The jet shape varies slightly with
time. We divided the source structure into the central region and the jet
region. In the jet region, we find the polarized emission varies with time. The
flatter spectral index values and EVPA direction indicate the possible
existence of shocks, contributing to the variation. In the central region, the
derived core shift index k_r values indicate that the core in 2002 is close to
the equipartition case while deviating from it in 2020. The measured magnetic
field strength in 2020 is two orders of magnitude lower than that in 2002. We
detected transverse RM gradients, evidence of a helical magnetic field, in the
core. At 15 GHz, in the place close to the jet base, the polarization direction
changes significantly with time from perpendicular to parallel to the jet
direction. The evolution of RM and magnetic field structure are potential
reasons for the observed polarization change. The core |RM| in 2020 increases
with frequency following a power law with index a = 2.7, suggesting a fast
electron density fall-off in the medium with distance from the jet base.Comment: 24 pages, 14 figures, accepted for publication in Ap
Analytical solution of the nitracline with the evolution of subsurface chlorophyll maximum in stratified water columns
In a stratified water column, the nitracline is a layer where the nitrate concentration increases below the nutrient-depleted upper layer, exhibiting a strong vertical gradient in the euphotic zone. The subsurface chlorophyll maximum layer (SCML) forms near the bottom of the euphotic zone, acting as a trap to diminish the upward nutrient supply. Depth and steepness of the nitracline are important measurable parameters related to the vertical transport of nitrate into the euphotic zone. The correlation between the SCML and the nitracline has been widely reported in the literature, but the analytic solution for the relationship between them is not well established. By incorporating a piecewise function for the approximate Gaussian vertical profile of chlorophyll, we derive analytical solutions of a specified nutrient-phytoplankton model. The model is well suited to explain basic dependencies between a nitracline and an SCML. The analytical solution shows that the nitracline depth is deeper than the depth of the SCML, shoaling with an increase in the light attenuation coefficient and with a decrease in surface light intensity. The inverse proportional relationship between the light level at the nitracline depth and the maximum rate of new primary production is derived. Analytic solutions also show that a thinner SCML corresponds to a steeper nitracline. The nitracline steepness is positively related to the light attenuation coefficient but independent of surface light intensity. The derived equations of the nitracline in relation to the SCML provide further insight into the important role of the nitracline in marine pelagic ecosystems
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