Results 131 to 140 of about 95,141 (307)

Short-Term Forecasting of Monkeypox Cases Using a Novel Filtering and Combining Technique. [PDF]

Diagnostics (Basel), 2023
Iftikhar H, Khan M, Khan MS, Khan M.
europepmc   +1 more source

Stacking for Probabilistic Short-Term Load Forecasting

In this study, we delve into the realm of meta-learning to combine point base forecasts for probabilistic short-term electricity demand forecasting. Our approach encompasses the utilization of quantile linear regression, quantile regression forest, and post-processing techniques involving residual simulation to generate quantile forecasts. Furthermore,
openaire   +2 more sources

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

Multivariate time series short term forecasting using cumulative data of coronavirus. [PDF]

Evol Syst (Berl), 2023
Mishra S, Singh T, Kumar M, Satakshi.
europepmc   +1 more source

Guiding AlphaFold to predict how Munc13‐1 opens Syntaxin‐1

FEBS Open Bio, EarlyView.
The syntaxin‐1 Habc‐domain (orange), linker (pink) and SNARE motif (yellow) form a closed conformation that binds to Munc18‐1 (violet) and is opened by the Munc13‐1 MUN domain (cyan) to form the SNARE complex that triggers neurotransmitter release.
Madhurima Chattopadhyay, Junjie Xu, Josep Rizo   +2 more
wiley   +1 more source

Seasonal dynamic factor analysis and bootstrap inference : application to electricity market forecasting [PDF]

, 2008
Year-ahead forecasting of electricity prices is an important issue in the current context of electricity markets. Nevertheless, only one-day-ahead forecasting is commonly tackled up in previous published works.
Andrés M. Alonso, Rodríguez, Julio, Alonso, Andrés M., María Jesús Sánchez, Sánchez, María Jesús, Julio Rodríguez, Carolina García-martos, Alonso Fernández, Andrés Modesto, García-Martos, Carolina   +8 more
core  

Short-Term Electrical Load Forecasting Through Optimally Configured Long Short-Term Memory

Majlesi Journal of Electrical Engineering
Short-term electrical load forecasting plays a pivotal role in modern energy systems, addressing the need for accurate predictions of electricity demand within a time frame ranging from a few hours to a few days. Inaccurate predictions can lead not only
Somasundaram Vasudevan, Kandasamy Jothinathan   +1 more
doaj   +1 more source

Short-term forecasting of M_max during hydraulic fracturing. [PDF]

Sci Rep, 2022
Li Z, Eaton D, Davidsen J.
europepmc   +1 more source

Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes

FEBS Open Bio, EarlyView.
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard, Emma‐Jayne Proctor, Jiawa Wang, Nikolas P. Johnston, Andrew Hayes, Georgia McCorkell, Haibo Yu, Jai Tree, Mark R. Davies, Mark J. Walker, Ronald Sluyter, Stephan Brouwer, Martina L. Sanderson‐Smith   +12 more
wiley   +1 more source

Short-term electricity price forecasting with time series models: A review and evaluation [PDF]

We investigate the forecasting power of different time series models for electricity spot prices. The models include different specifications of linear autoregressive time series with heteroscedastic noise and/or additional fundamental variables and non ...
Rafal Weron, Adam Misiorek
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