Network Traffic Prediction Method Based on Improved Echo State Network
IEEE Access, 2018 The network traffic sequence has the complex characters, such as mutability, chaos, timeliness, and nonlinearity, which bring many difficulties to network traffic prediction.
Jian Zhou +4 more
doaj +1 more source
BMI‐1 modulation and trafficking during M phase in diffuse intrinsic pontine glioma
FEBS Open Bio, EarlyView.The schematic illustrates BMI‐1 phosphorylation during M phase, which triggers its translocation from the nucleus to the cytoplasm. In cycling cells, BMI‐1 functions within the PRC1 complex to mediate H2A K119 monoubiquitination. Following PTC596‐induced M phase arrest, phosphorylated BMI‐1 dissociates from PRC1 and is exported to the cytoplasm via its
Banlanjo Umaru +6 more
wiley +1 more source
A Dynamic Spatio-Temporal Deep Learning Model for Lane-Level Traffic Prediction
Journal of Advanced Transportation, 2023 Traffic prediction aims to predict the future traffic state by mining features from history traffic information, and it is a crucial component for the intelligent transportation system.
Bao Li +5 more
doaj +1 more source
Measurement of noise events in road traffic streams: initial results from a simulation study [PDF]
, 2016 A key question for road traffic noise management is whether prediction of human response to noise, including sleep quality, could be improved over the use of conventional energy equivalent, or percentile, measures, by accounting for noise events in road ...
Brown, Lex +2 more
core
Meta‐analysis fails to show any correlation between protein abundance and ubiquitination changes
FEBS Open Bio, EarlyView.We analyzed over 50 published proteomics datasets to explore the relationship between protein levels and ubiquitination changes across multiple experimental conditions and biological systems. Although ubiquitination is often associated with protein degradation, our analysis shows that changes in ubiquitination do not globally correlate with changes in ...
Nerea Osinalde +3 more
wiley +1 more source
CARBOTRAF: A decision Support system for reducing pollutant emissions by adaptive traffic management [PDF]
, 2015 Traffic congestion with frequent “stop & go” situations causes substantial pollutant emissions. Black carbon (BC) is a good indicator of combustion-related air pollution and results in negative health effects.
Beckx, C +12 more
core
Pedestrian Prediction by Planning using Deep Neural Networks
, 2017 Accurate traffic participant prediction is the prerequisite for collision avoidance of autonomous vehicles. In this work, we predict pedestrians by emulating their own motion planning.
Lauer, Martin +3 more
core +1 more source
Advanced Functional Materials, EarlyView.Lipid nanoparticles (LNPs) are optimized to co‐deliver Cas9‐encoding messenger RNA (mRNA), a single guide RNA (sgRNA) targeting the endogenous cystic fibrosis transmembrane conductance regulator (CFTR) gene, and homologous linear double‐stranded donor DNA (ldsDNA) templates encoding CFTR.
Ruth A. Foley +12 more
wiley +1 more source
A Multi-Parameter Chaotic Fusion Approach for Traffic Flow Forecasting
IEEE Access, 2020 Since traffic is a time-dependent and complicated non-linear system. Chaos Theory has been specifically designed to identify chaotic behaviour and properties for such systems.
Qinglu Ma, Guang Hao Huang, Saleem Ullah
doaj +1 more source
Air quality impact of a decision support system for reducing pollutant emissions: CARBOTRAF [PDF]
, 2014 Traffic congestion with frequent “stop & go” situations causes substantial pollutant emissions. Black carbon (BC) is a good indicator of combustion-related air pollution and results in negative health effects.
Assamer, J +18 more
core