Results 91 to 100 of about 14,302 (309)

Evolutionarily divergent DUF4465 domains have a common vitamin B12‐binding function

FEBS Open Bio, EarlyView.
We show that DUF4465 family proteins, widespread across bacteria from gut microbiomes, hydrothermal vents, and soil, share a common vitamin B12‐binding function. These augmented β‐jellyroll proteins bind vitamin B12 via extended loops. Our findings establish sequence‐diverse DUF4465 proteins as a widespread class of B12‐binding proteins, highlighting ...
Charlea Clarke, Michal Banasik, Rokas Juodeikis, Martin J. Warren, Richard W. Pickersgill   +4 more
wiley   +1 more source

Analysis of Random Forest Modeling Strategies for Multi-Step Wind Speed Forecasting

, 2020
Although the random forest (RF) model is a powerful machine learning tool that has been utilized in many wind speed/power forecasting studies, there has been no consensus on optimal RF modeling strategies.
Harindra J. S. Fernando, Daniel Vassallo, Thomas Sherman, Raghavendra Krishnamurthy   +3 more
core   +1 more source

Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum

FEBS Open Bio, EarlyView.
Amyotrophic lateral sclerosis (ALS) is a fatal disease that damages motor neurons. This study found that people with ALS show significant changes in blood fats and the proteins that carry them. Several apolipoproteins were higher, lipid balances were altered, and normal protein–lipid relationships were disrupted.
Finula I. Isik, Russell Pickford, Hannah C. Timmins, Olivier Piguet, Glenda M. Halliday, Matthew C. Kiernan, Woojin Scott Kim   +6 more
wiley   +1 more source

A unified forecasting model for solar irradiation and wind speed using ground-based data

Next Sustainability
The objective of this study is to realize short-term forecasting of time-varying solar irradiation and wind speed through a unified neural-network-based algorithm.
Arisa Masuda, Hana Hebishima, Shin-ichi Inage   +2 more
doaj   +1 more source

A Hybrid Wind Speed Forecasting System Based on a ‘Decomposition and Ensemble’ Strategy and Fuzzy Time Series

Energies, 2017
Accurate and stable wind speed forecasting is of critical importance in the wind power industry and has measurable influence on power-system management and the stability of market economics. However, most traditional wind speed forecasting models require
Hufang Yang, Zaiping Jiang, Haiyan Lu
doaj   +1 more source

Probabilistic wind speed forecasting in Hungary

, 2012
Prediction of various weather quantities is mostly based on deterministic numerical weather forecasting models. Multiple runs of these models with different initial conditions result ensembles of forecasts which are applied for estimating the distribution of future weather quantities. However, the ensembles are usually under-dispersive and uncalibrated,
Baran, Sándor, Nemoda, Dóra, Horányi, András   +2 more
openaire   +2 more sources

Near real-time wind speed forecast model with bidirectional LSTM networks

, 2023
Wind is an important source of renewable energy, often used to provide clean electricity to remote areas. For optimal extraction of this energy source, there is a need for an accurate and robust wind speed forecasting.
Deo, Ravinesh C., Soar, Jeffrey, Joseph, Lionel P., Prasad, Ramendra, Salcedo-Sanz, Sancho, Raj, Nawin   +5 more
core   +1 more source

Blood‐based proteomic profiling reveals context‐dependent changes in BCL2‐associated signaling during taxane therapy in breast cancer patients

FEBS Open Bio, EarlyView.
Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani, Eiman Y. Ibrahim, Rozalyn L. Rodwin, Leah M. Ferrucci, Kim Blenman, Maryam Lustberg, Barbara E. Ehrlich   +6 more
wiley   +1 more source

Forecasting wind speed financial return

, 2013
The prediction of wind speed is very important when dealing with the production of energy through wind turbines. In this paper, we show a new nonparametric model, based on semi-Markov chains, to predict wind speed. Particularly we use an indexed semi-Markov model that has been shown to be able to reproduce accurately the statistical behavior of wind ...
D'AMICO, Guglielmo, Petroni F., Prattico F.   +2 more
openaire   +3 more sources

A Deep Hybrid CNNDBiLSTM Model for Short-Term Wind Speed Forecasting in Wind-Rich Regions of Tasmania, Australia

Accurate and reliable short-term wind speed forecasting plays a crucial role in efficient operation and integration of wind energy generation. This research study introduces an innovative deep hybrid model that combines Convolutional Neural Networks (CNN)
Neupane, Ananta, Raj, Nawin, Deo, Ravinesh   +2 more
core   +1 more source