4,786 research outputs found

### Searching for $\Xi_{cc}^+$ in Relativistic Heavy Ion Collisions

We study the doubly charmed baryon $\Xi_{cc}^+$ in high energy nuclear
collisions. We solve the three-body Schroedinger equation with relativistic
correction and calculate the $\Xi_{cc}^+$ yield and transverse momentum
distribution via coalescence mechanism. For $\Xi_{cc}^+$ production in central
Pb+Pb collisions at LHC energy, the yield is extremely enhanced, and the
production cross section per binary collision is one order of magnitude larger
than that in p+p collisions. This indicates that, it is most probable to
discover $\Xi_{cc}^+$ in heavy ion collisions and its discovery can be
considered as a probe of the quark-luon plasma formation.Comment: 5 pages and 4 figure

### Automorphisms of 3-folds of general type acting trivially on cohomology

Let $X$ be a minimal projecitve complex $3$-fold of general type with
canonical Gorenstein singularities and $\mathrm{Aut}_0(X)$ be the subgroup of
automorphisms acting trivially on $H^*(X,\mathbb{Q})$. We prove that if $X$ has
maximal Albanese dimension, $|\mathrm{Aut}_0(X)|\leq 6$. Then we concern the
class of complex varieties $X=(C_1\times C_2\times\dots\times C_d)/G$
($d\geq2$) isogenous to a (higher) product of unmixed type with each
$q(C_i/G)\geq 1$. The main result of this paper is that if the irregularity
$q(X)\geq d+1$, $\mathrm{Aut}_0(X)$ is trivial. Moreover, in the case $d=3$,
let $(C_1\times C_2\times C_3)/G$ itself be the minimal realization of $X$ and
$K_i$ be the subgroup of $G$ acting identity on $C_i$, we show that if $G$ is
abelian, every $K_i$ is cyclic and $q(X) = 3$, then $\mathrm{Aut}_0(X)\cong
\mathbb{Z}_2^k$ with $k=0,1,2$. In the end some examples of complex $3$-folds
with $\mathrm{Aut}_0(X)\cong \mathbb{Z}_2$ and $\mathbb{Z}_2^2$ are provided

### Floquet engineering of long-range p-wave superconductivity: Beyond the high-frequency limit

It has been shown that long-range {\it p}-wave superconductivity in a Kitaev
chain can be engineered via an ac field with a high frequency [Benito et al.,
Phys. Rev. B 90, 205127 (2014)]. For its experimental realization, however,
theoretical understanding of Floquet engineering with a broader range of
driving frequencies becomes important. In this work, focusing on the ac-driven
tunneling interactions of a Kitaev chain, we investigate effects from the
leading correction to the high-frequency limit on the emergent {\it p}-wave
superconductivity. Importantly, we find new engineered long-range {\it p}-wave
pairing interactions that can significantly alter the ones in the
high-frequency limit at long interaction ranges. We also find that the leading
correction additionally generates nearest-neighbor {\it p}-wave pairing
interactions with a renormalized pairing energy, long-range tunneling
interactions, and in particular multiple pairs of Floquet Majorana edge states
that are destroyed in the high- frequency limit.Comment: 13 pages, 8 figure

### Capillary-based multiplexed isothermal nucleic acid-based test for sexually transmitted diseases in patients

We demonstrate a multiplexed loop mediated isothermal amplification (LAMP) assay for infectious disease diagnostics, where the analytical process flow of target pathogens genomic DNA is performed manually by moving magnetic beads through a series of plugs in a capillary. Heat is provided by a water bath and the results read by the naked eye, enabling applications in low resource settings

### Self-Supervised Audio-Visual Co-Segmentation

Segmenting objects in images and separating sound sources in audio are
challenging tasks, in part because traditional approaches require large amounts
of labeled data. In this paper we develop a neural network model for visual
object segmentation and sound source separation that learns from natural videos
through self-supervision. The model is an extension of recently proposed work
that maps image pixels to sounds. Here, we introduce a learning approach to
disentangle concepts in the neural networks, and assign semantic categories to
network feature channels to enable independent image segmentation and sound
source separation after audio-visual training on videos. Our evaluations show
that the disentangled model outperforms several baselines in semantic
segmentation and sound source separation.Comment: Accepted to ICASSP 201

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