Results 71 to 80 of about 10,257 (261)

Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis

open access: yesFEBS Open Bio, EarlyView.
Using a mouse model of surgical sepsis, we tested long‐term memory and analyzed the transcriptome of single cells isolated from the hippocampus. Survivor mice showed worse memory, loss of certain brain cell subpopulations, and abnormal immune cell activity—suggesting that post‐sepsis brain alterations may be linked to cognitive deficits.
Dong Seong Cho   +4 more
wiley   +1 more source

Convolutional Edge Constraint-Based U-Net for Salient Object Detection

open access: yesIEEE Access, 2019
The salient object detection is receiving more and more attention from researchers. An accurate saliency map will be useful for subsequent tasks. However, in most saliency maps predicted by existing models, the objects regions are very blurred and the ...
Le Han, Xuelong Li, Yongsheng Dong
doaj   +1 more source

YIPFα1A expression is regulated by multilayered molecular mechanisms

open access: yesFEBS Open Bio, EarlyView.
YIPFα1A, a five‐pass Golgi protein, is regulated at multiple layers. (1) Rare‐codon enrichment drives translation‐coupled mRNA decay. (2) A proximal 3′‐UTR element stabilizes mRNA. (3) A distal 3′‐UTR element included by alternate poly(A) site usage represses translation, which can be overridden by the proximal 3′‐UTR element.
Tokio Takaji   +2 more
wiley   +1 more source

Blotch Detection in Archive Films Based on Visual Saliency Map

open access: yesComplexity, 2020
Degradations frequently occur in archive films that symbolize the historical and cultural heritage of a nation. In this study, the problem of detection blotches commonly encountered in archive films is handled. Here, a block-based blotch detection method
Yildiz Aydin, Bekir Dizdaroğlu
doaj   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

open access: yesFEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss   +7 more
wiley   +1 more source

Poisson Reconstruction-Based Fusion of Infrared and Visible Images via Saliency Detection

open access: yesIEEE Access, 2019
Saliency-based methods have been widely used in the fusion of infrared (IR) and visible (VIS) images, which can highlight the salient object region and preserve the detailed background information simultaneously. However, most existing methods ignore the
Jing Li   +4 more
doaj   +1 more source

A saliency guided remote sensing image dehazing network model

open access: yesIET Image Processing, 2022
This article presents a saliency guided remote sensing image dehazing network model. It consists of the following three blocks: A dense residual based backbone network, a saliency map generator, and a deformed atmospheric scattering model (ASM) based ...
Zhenghao Shi, Shuai Shao, Zhaorun Zhou
doaj   +1 more source

Dual native G‐quadruplex folding is associated with chromatin looping at the MYC locus

open access: yesFEBS Open Bio, EarlyView.
BG4‐detectable G‐quadruplex (G4) in HaCaT and NHEK keratinocytes identified folded and unfolded G4s enriched at promoters/TSSs and active enhancers, whereas unfolded G4s also overlapped weak/poised enhancers. At MYC–PVT1, 3C‐qPCR detected enhancer–promoter looping only when G4s were simultaneously folded at both regulatory elements under native ...
Dieila Giomo de Lima   +7 more
wiley   +1 more source

The visual attention saliency map for movie retrospection

open access: yesOpen Physics, 2018
The visual saliency map is becoming important and challenging for many scientific disciplines (robotic systems, psychophysics, cognitive neuroscience and computer science).
Rogalska Anna, Napieralski Piotr
doaj   +1 more source

Vehicle-Type Detection Based on Compressed Sensing and Deep Learning in Vehicular Networks

open access: yesSensors, 2018
Throughout the past decade, vehicular networks have attracted a great deal of interest in various fields. The increasing number of vehicles has led to challenges in traffic regulation.
Yinghua Li   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy