Results 51 to 60 of about 2,805,373 (250)

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

open access: yesFEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi   +5 more
wiley   +1 more source

Pragmatic Graph Rewriting Modifications [PDF]

open access: yes, 1999
We present new pragmatic constructs for easing programming in visual graph rewriting programming languages. The first is a modification to the rewriting process for nodes the host graph, where nodes specified as 'Once Only' in the LHS of a rewrite match ...
Rodgers, Peter   +3 more
core   +1 more source

Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation

open access: yesFEBS Letters, EarlyView.
Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz   +11 more
wiley   +1 more source

Deep Depth Graph Super Resolution Sampling Based on Depth Learning [PDF]

open access: yesJisuanji gongcheng, 2017
In the scene of depth image acquisition,in order to use the high-resolution color map of the scene for superresolution upper sampling,this paper proposes an adaptive learning algorithm for local filter kernels using convolutional neural network.It ...
WANG Xiaohui,SHENG Bin,SHEN Ruimin
doaj   +1 more source

Node copying: A random graph model for effective graph sampling

open access: yesSignal Processing, 2022
There has been an increased interest in applying machine learning techniques on relational structured-data based on an observed graph. Often, this graph is not fully representative of the true relationship amongst nodes. In these settings, building a generative model conditioned on the observed graph allows to take the graph uncertainty into account ...
Florence Regol   +5 more
openaire   +4 more sources

An isoform of 14‐3‐3 protein regulates transbilayer lipid movement at the plasma membrane

open access: yesFEBS Letters, EarlyView.
Loss of 14‐3‐3ζ in CHO cells confers resistance to exogenous phosphatidylserine (PS) and impairs endocytosis‐independent inward flip‐flop of fluorescent PS at the plasma membrane. RNAi‐mediated knockdown reproduces this defect, while no additive effect is seen in ATP11C‐deficient cells.
Akiko Yamaji‐Hasegawa   +3 more
wiley   +1 more source

Weighted Edge Sampling for Static Graphs

open access: yesInternational Journal of Data Mining, Modelling and Management, 2023
Graph Sampling provides an efficient yet inexpensive solution for analyzing large graphs. While extracting small representative subgraphs from large graphs, the challenge is to capture the properties of the original graph. Several sampling algorithms have been proposed in previous studies, but they lack in extracting good samples.
Muhammad Irfan Yousuf, Raheel Anwar
openaire   +2 more sources

Biophysical approaches for studying viral entry

open access: yesFEBS Letters, EarlyView.
Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
wiley   +1 more source

A Manifold-Based Dimension Reduction Algorithm Framework for Noisy Data Using Graph Sampling and Spectral Graph

open access: yesComplexity, 2020
This paper proposes a new manifold-based dimension reduction algorithm framework. It can deal with the dimension reduction problem of data with noise and give the dimension reduction results with the deviation values caused by noise interference ...
Tao Yang, Dongmei Fu, Jintao Meng
doaj   +1 more source

Local Differential Privacy Graph Data Modeling Method for Link Prediction

open access: yesJournal of Harbin University of Science and Technology, 2023
To solve the problem of node sensitive link privacy being exposed in the process of link prediction on industrial business graph data , according to the theory of local differential privacy , the shortcomings of the existing graph privacy protection ...
HANQilong, WUXiaoming
doaj   +1 more source

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