Results 81 to 90 of about 8,753,061 (307)

Combined Error Detection and Error-Correction [PDF]

open access: yes, 2017
This chapter is concerned with the design of codes and systems for combined error detection and correction, primarily aimed at applications featuring retransmission of data packets which have not been decoded correctly. Several such hybrid automatic request, HARQ, systems are described including a novel system variation which uses a retransmission ...
Martin Tomlinson   +4 more
openaire   +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

Remote Control Device for the Detection and Correction of Errors in the FDM 3D Printing Process in Real Time

open access: yesEngineering Proceedings
This project focuses on developing a remote control device for the real-time detection and correction of errors in fused deposition modeling (FDM) 3D printing.
Henry Requena   +3 more
doaj   +1 more source

Shared Neural Markers of Decision Confidence and Error Detection

open access: yesJournal of Neuroscience, 2015
Empirical evidence indicates that people can provide accurate evaluations of their own thoughts and actions by means of both error detection and confidence judgments.
Annika Boldt, N. Yeung
semanticscholar   +1 more source

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

Vision based error detection for 3D printing processes

open access: yes, 2016
3D printers became more popular in the last decade, partly because of the expiration of key patents and the supply of affordable machines. The origin is located in rapid prototyping.
F. Baumann, D. Roller
semanticscholar   +1 more source

Septin 9 PB domains coordinate centrosome positioning and microtubule acetylation to control epithelial polarity

open access: yesFEBS Letters, EarlyView.
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai   +4 more
wiley   +1 more source

SeSICL: Semantic and Structural Integrated Contrastive Learning for Knowledge Graph Error Detection

open access: yesIEEE Access
As knowledge graphs (KGs) become more widely used in various applications, error detection for KGs has received more attention, which can reduce quality issues such as errors and inconsistencies. With the development of representation learning, embedding-
Xingyu Liu   +5 more
doaj   +1 more source

Manipulations and Errors, Detection and Localization [PDF]

open access: yes, 1988
We investigate the possibility of using error correcting codes in digital signatures. A scheme combining one way functions and a MDS code is presented and analyzed. We then study an attack upon this scheme and upon more general ones called "random knapsack schemes" involving a linear combination ?i T(xi,i) of the message elements xi.
Philippe Godlewski, Paul Camion
openaire   +1 more source

Open-Domain Name Error Detection using a Multi-Task RNN

open access: yesConference on Empirical Methods in Natural Language Processing, 2015
Out-of-vocabulary name errors in speech recognition create significant problems for downstream language processing, but the fact that they are rare poses challenges for automatic detection, particularly in an open-domain scenario. To address this problem,
Hao Cheng, Hao Fang, Mari Ostendorf
semanticscholar   +1 more source

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