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M2U-net: Effective and efficient retinal vessel segmentation for real-world applications
In this paper, we present a novel neural network architecture for retinal vessel segmentation that improves over the state of the art on two benchmark datasets, is the first to run in real time on high resolution images, and its small memory and processing requirements make it deployable in mobile and embedded systems. The M2U-Net has a new encoder-decoder architecture that is inspired by the U-Net. It adds pretrained components of MobileNetV2 in the encoder part and novel contractive bottleneck blocks in the decoder part that, combined with bilinear upsampling, drastically reduce the parameter count to 0.55M compared to 31.03M in the original U-Net. We have evaluated its performance against a wide body of previously published results on three public datasets. On two of them, the M2U-Net achieves new state-of-the-art performance by a considerable margin. When implemented on a GPU, our method is the first to achieve real-time inference speeds on high-resolution fundus images. We also implemented our proposed network on an ARM-based embedded system where it segments images in between 0.6 and 15 sec, depending on the resolution. Thus, the M2U-Net enables a number of applications of retinal vessel structure extraction, such as early diagnosis of eye diseases, retinal biometric authentication systems, and robot assisted microsurgery
Systematic transcriptome wide analysis of lncRNA-miRNA interactions
Long noncoding RNAs (lncRNAs) are a recently discovered class of non-protein
coding RNAs which have now increasingly been shown to be involved in a wide
variety of biological processes as regulatory molecules. Little is known
regarding the regulatory interactions between noncoding RNA classes. Recent
reports have suggested that lncRNAs could potentially interact with other
noncoding RNAs including miroRNAs (miRNAs) and modulate their regulatory role
through interactions. We hypothesized that long noncoding RNAs could
participate as a layer of regulatory interactions with miRNAs. The availability
of genome-scale datasets for argonaute targets across human transcriptome has
prompted us to reconstruct a genome-scale network of interactions between
miRNAs and lncRNAs.
We used well characterized experimental
Photoactivatable-Ribonucleoside-Enhanced Crosslinking and Immunoprecipitation
(PAR-CLIP) datasets and the recent genome-wide annotations for lncRNAs in
public domain to construct a comprehensive transcriptome-wide map of miRNA
regulatory elements. Comparative analysis revealed many of the miRNAs could
target long noncoding RNAs, apart from the coding transcripts thus
participating in a novel layer of regulatory interactions between noncoding RNA
classes. We also find the miRNA regulatory elements have a positional
preference, clustering towards the 3' and 5' ends of the long noncoding
transcripts. We also further reconstruct a genome-wide map of miRNA
interactions with lncRNAs as well as messenger RNAs.
This analysis suggests widespread regulatory interactions between noncoding
RNAs classes and suggests a novel functional role for lncRNAs. We also present
the first transcriptome scale study on lncRNA-miRNA interactions and the first
report of a genome-scale reconstruction of a noncoding RNA regulatory
interactome involving lncRNAs
Ab initio prediction of magnetically dead layers in freestanding -Ce(111)
It is well known that the surface of nonmagnetic -Ce is magnetically
ordered, i.e., -like. One then might conjecture, in agreement with
previous theoretical predictions, that the -Ce may also exhibit at its
surfaces even more strongly enhanced -like magnetic ordering.
Nonetheless, our result shows that the (111)-surfaces of magnetic -Ce
are neither spin nor orbitally polarized, i.e., -like. Therefore, we
predict, in contrast to the nonmagnetic -phase which tends to produce
magnetically ordered -like thin layers at its free surfaces, the
magnetic -phase has a tendency to form -like dead layers. This
study, which explains the suppressed (promoted) surface magnetic moments of
-Ce (-Ce), shows that how nanoscale can reverse physical
properties by going from bulk to the surface in isostructural - and
-phases of cerium. We predict using our freestanding surface results
that a typical unreactive and non-diffusive substrate can dramatically
influence the magnetic surface of cerium thin films in contrast to most of the
uncorrelated thin films and strongly correlated transition metals. Our result
implies that magnetic surface moments of -Ce(111) can be suddenly
disappeared by increasing lattice mismatch at the interface of a typical
unreactive and non-diffusive substrate with cerium overlayers.Comment: 6 pages, 3 figures, 1 tabl
Attenuating Consumer Reactance to Threatening Messages: The Moderating Role of Construal Level
While many persuasive communications tend to be perceived as increasing consumer choice, others, such as public service announcements, more or less forcefully restrict that choice. This research examines the effects of threats to freedom on receptivity to message information, as a function of the level of construal at which the message is processed. The findings indicate that consumers are more open to high threat message information at high (vs. low) levels of construal, and this pattern holds when construal level is manipulated via message wording (study one) or is non-consciously primed prior to message exposure (study two). Also, the results point to the level of detail at which the message is considered, and the resulting use of persuasion knowledge, as the underlying reason for this pattern of results (study three). Specifically, at high levels of detail (i.e. low construal) there is a greater use of persuasion knowledge and lower information receptivity in face of high threat to freedom messages. At low level of detail (high construal), by contrast, persuasion knowledge use is lower and receptivity to information in freedom threatening messages higher
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