111 research outputs found
Development of chemical tools for imaging RNA and studying RNA and protein interactions
Tools for study of RNA are divided into two groups: RNA imaging and RNA crosslinking (Chapter 1). RNA imaging denotes visualization of target RNA by labelling it with fluorophores. RNA crosslinking refers to investigating the function of target RNA by capturing bio-macromolecules the RNA interacts with. In consideration of low abundance of some RNAs in living cells, in chapter 2, we have synthesized a new RNA probe based on previously reported aptamers. which reduces background signal to a large extent. We realized imaging of the RNA aptamer in mammalian cells, and the fluorescence obtained from newly constructed probe was apparently brighter.In chapter 3, we developed two psoralen based length tunable crosslinkers (AMT-NHS and AMT dimer) for studying RNA-RNA interactions or RNA-protein interactions. We have synthesized the crosslinkers and verified in vitro experiment that RNA-RNA interactions could be effectively captured by the AMT dimer, and RNA-protein interactions could be effectively tracked by AMT-NHS. In chapter 4, we proved that AMT-NHS could be applied to study RNA-protein interactions in living cells. We also proved that AMT-NHS CLIP is a stable and efficient method for studying RNA-protein interactions, it captured a large portion of interactions that traditional CLIP method may miss.In chapter 5, we have synthesized and incorporated an unnatural photoactivatable amino acid into a protein on a specific site by expanding genetic code, which paves the way to develop a novel and powerful CLIP method to capture more comprehensively RNA-protein interactions
Observation of sub-Doppler absorption in the /Lambda-type three-level Doppler-broadened cesium system
Thanks to the atomic coherence in coupling laser driven atomic system,
sub-Doppler absorption has been observed in Doppler-broadened cesium vapor cell
via the /Lambda-type three-level scheme. The linewidth of the sub-Doppler
absorption peak become narrower while the frequency detuning of coupling laser
increases. The results are in agreement with the theoretical prediction by G.
Vemuri et al.[PRA,Vol.53(1996) p.2842].Comment: 12 pages, 5 figures, to appear on Applied Physics
Enhanced entanglement of two different mechanical resonators via coherent feedback
It was shown [New J. Phys. 17, 103037 (2015)] that large and robust
entanglement between two different mechanical resonators could be achieved,
either dynamically or in the steady state, in an optomechanical system in which
the two mechanical resonators are coupled to a single cavity mode driven by a
suitably chosen two-tone field. An important limitation of the scheme is that
the cavity decay rate must be much smaller than the two mechanical frequencies
and their difference. Here we show that the entanglement can be remarkably
enhanced, and the validity of the scheme can be largely extended, by adding a
coherent feedback loop that effectively reduces the cavity decay rate.Comment: 8 pages, 4 figures, to appear in PR
MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
In this paper, we propose MOTRv2, a simple yet effective pipeline to
bootstrap end-to-end multi-object tracking with a pretrained object detector.
Existing end-to-end methods, MOTR and TrackFormer are inferior to their
tracking-by-detection counterparts mainly due to their poor detection
performance. We aim to improve MOTR by elegantly incorporating an extra object
detector. We first adopt the anchor formulation of queries and then use an
extra object detector to generate proposals as anchors, providing detection
prior to MOTR. The simple modification greatly eases the conflict between joint
learning detection and association tasks in MOTR. MOTRv2 keeps the query
propogation feature and scales well on large-scale benchmarks. MOTRv2 ranks the
1st place (73.4% HOTA on DanceTrack) in the 1st Multiple People Tracking in
Group Dance Challenge. Moreover, MOTRv2 reaches state-of-the-art performance on
the BDD100K dataset. We hope this simple and effective pipeline can provide
some new insights to the end-to-end MOT community. Code is available at
\url{https://github.com/megvii-research/MOTRv2}.Comment: Accepted by CVPR 202
Quantum-dot gain without inversion:Effects of dark plasmon-exciton hybridization
We propose an initial-state-dependent quantum-dot gain without population inversion in the vicinity of a resonant metallic nanoparticle. The gain originates from the hybridization of a dark plasmon-exciton and is accompanied by efficient energy transfer from the nanoparticle to the quantum dot. This hybridization of the dark plasmon-exciton, attached to the hybridization of the bright plasmon-exciton, strengthens nonlinear light-quantum emitter interactions at the nanoscale, thus the spectral overlap between the dark and the bright plasmons enhances the gain effect. This hybrid system has potential applications in ultracompact tunable quantum devices.Physics, Condensed MatterSCI(E)[email protected]
The 1st-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge
We present our 1st place solution to the Group Dance Multiple People Tracking
Challenge. Based on MOTR: End-to-End Multiple-Object Tracking with Transformer,
we explore: 1) detect queries as anchors, 2) tracking as query denoising, 3)
joint training on pseudo video clips generated from CrowdHuman dataset, and 4)
using the YOLOX detection proposals for the anchor initialization of detect
queries. Our method achieves 73.4% HOTA on the DanceTrack test set, surpassing
the second-place solution by +6.8% HOTA.Comment: https://motcomplex.github.io
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