376 research outputs found
Generation of two-mode field squeezing through selective dynamics in cavity QED
We propose a scheme for the generation of a two-mode field squeezed state in
cavity QED. It is based on two-channel Raman excitations of a beam of
three-level atoms with random arrival times by two classical fields and two
high-Q resonator modes. It is shown that by suitably choosing the intensities
and detunings of fields the dynamical processes can be selective and two-mode
squeezing between the cavity modes can be generated at steady state. This
proposal does not need the preparation of the initial states of atoms and
cavity modes, and is robust against atomic spontaneous decay.Comment: 4 pages,2 figure
Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets
There exists a large number of datasets for organ segmentation, which are
partially annotated, and sequentially constructed. A typical dataset is
constructed at a certain time by curating medical images and annotating the
organs of interest. In other words, new datasets with annotations of new organ
categories are built over time. To unleash the potential behind these partially
labeled, sequentially-constructed datasets, we propose to learn a multi-organ
segmentation model through incremental learning (IL). In each IL stage, we lose
access to the previous annotations, whose knowledge is assumingly captured by
the current model, and gain the access to a new dataset with annotations of new
organ categories, from which we learn to update the organ segmentation model to
include the new organs. We give the first attempt to conjecture that the
different distribution is the key reason for 'catastrophic forgetting' that
commonly exists in IL methods, and verify that IL has the natural adaptability
to medical image scenarios. Extensive experiments on five open-sourced datasets
are conducted to prove the effectiveness of our method and the conjecture
mentioned above
Functional cooperation of of IL-1Ī² and RGS4 in the brachial plexus avulsion mediated brain reorganization
<p>Abstract</p> <p>Backgrounds</p> <p>There is considerable evidence that central nervous system is continuously modulated by activity, behavior and skill acquisition. This study is to examine the reorganization in cortical and subcortical regions in response to brachial plexus avulsion.</p> <p>Methods</p> <p>Adult C57BL/6 mice were divided into four groups: control, 1, 3 and 6 month of brachial plexus avulsion. IL-1Ī², IL-6 and RGS4 expression in cortex, brainstem and spinal cord were detected by BiostarM-140 s microarray and real-time PCR. RGS4 subcellular distribution and modulation were further analyzed by primary neuron culture and Western Blot.</p> <p>Results</p> <p>After 1, 3 and 6 months of brachial plexus avulsion, 49 (0 up, 49 down), 29 (17 up, 12 down), 13 (9 up, 4 down) genes in cerebral cortex, 40 (8 up, 32 down), 11 (7 up, 4 down), 137 (63 up, 74 down) in brainstem, 27 (14 up, 13 down), 33 (18 up, 15 down), 60 (29 up, 31 down) in spinal cord were identified. Among the regulated gene, IL-1Ī² and IL-6 were sustainable enhanced in brain stem, while PKACĪ² and RGS4 were up-regulated throughout cerebral cortex, brainstem and spinal cord in 3 and 6 month of nerve injury. Intriguingly, subcellular distribution of RGS4 in above three regions was dependent on the functional correlation of PKA and IL-1Ī².</p> <p>Conclusion</p> <p>Data herein indicated that brachial plexus avulsion could efficiently initiate and perpetuate the brain reorganization. Network involved IL-1Ī² and RGS4 signaling might implicate in the re-establish and strengthening of the local circuits at the cortical and subcortical levels.</p
Generation of two-mode entanglement between separated cavities
We propose a scheme for the generation of two-mode entangled states between
two spatially separated cavities. It utilizes a two-level atom sequentially
coupling to two high-Q cavities with a strong classical driving field. It is
shown that by suitably choosing the intensities and detunings of the fields and
coherent control of the dynamics, several different entangled states such as
entangled coherent states and Bell states can be produced between the modes of
the two cavities.Comment: 4pages,1figur
Boosting Multi-modal Model Performance with Adaptive Gradient Modulation
While the field of multi-modal learning keeps growing fast, the deficiency of
the standard joint training paradigm has become clear through recent studies.
They attribute the sub-optimal performance of the jointly trained model to the
modality competition phenomenon. Existing works attempt to improve the jointly
trained model by modulating the training process. Despite their effectiveness,
those methods can only apply to late fusion models. More importantly, the
mechanism of the modality competition remains unexplored. In this paper, we
first propose an adaptive gradient modulation method that can boost the
performance of multi-modal models with various fusion strategies. Extensive
experiments show that our method surpasses all existing modulation methods.
Furthermore, to have a quantitative understanding of the modality competition
and the mechanism behind the effectiveness of our modulation method, we
introduce a novel metric to measure the competition strength. This metric is
built on the mono-modal concept, a function that is designed to represent the
competition-less state of a modality. Through systematic investigation, our
results confirm the intuition that the modulation encourages the model to rely
on the more informative modality. In addition, we find that the jointly trained
model typically has a preferred modality on which the competition is weaker
than other modalities. However, this preferred modality need not dominate
others. Our code will be available at
https://github.com/lihong2303/AGM_ICCV2023.Comment: Accepted by ICCV202
Cullin4 E3 ubiquitin ligases regulate male gonocyte migration, proliferation and blood-testis barrier homeostasis
Ubiquitination, an essential posttranslational modification, plays fundamental roles during mammalian spermatogenesis. We previously reported the requirement of two Cullin 4 ubiquitin ligase family genes, Cullin 4a
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