Results 61 to 70 of about 72,416 (315)
Operational Forecasting of Wind Turbine Power Generation using Clustering and Anomaly Detection [PDF]
Operational forecasting of wind turbine power output is a critical task for power systems with a high share of renewable energy sources, as the accuracy of short-horizon power estimation directly affects system stability, the demand for balancing ...
Matrenin P.V., Khamitov R.N.
doaj +1 more source
CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh +12 more
wiley +1 more source
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain +10 more
wiley +1 more source
Multifeature-Driven Multistep Wind Speed Forecasting Using NARXR and Modified VMD Approaches
The global demand for clean and sustainable energy has driven the rapid growth of wind power. However, wind farm managers face the challenge of forecasting wind power for efficient power generation and management. Accurate wind speed forecasting (WSF) is
Jennifer Dela Cruz, Rose Ellen Macabiog
core +1 more source
Radial basis function neural network based short-term wind power forecasting with Grubbs test
Accurate prediction on wind power generation plays an important role in power system dispatching and wind farm operation. The Radial Basis Function (RBF) neural network, owing to its superior performance of linear/nonlinear algorithm with respect to fast
Fushuan Wen +9 more
core +1 more source
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source
TransPVP: A Transformer-Based Method for Ultra-Short-Term Photovoltaic Power Forecasting
The increasing adoption of renewable energy, particularly photovoltaic (PV) power, has highlighted the importance of accurate PV power forecasting. Despite advances driven by deep learning (DL), significant challenges remain, particularly in capturing ...
Jinfeng Wang +5 more
doaj +1 more source
Wind power forecasting and integration to power grids [PDF]
This is a summary of the presentation in the special session: “Digital Signal Processing for Green Power Systems and Delivery”. In recent years, wind power penetration level in power systems has increased significantly. Grid integration has become one of the major issues for wind power growth due to the intermittent characteristics of wind power.
Wu, FF, Zhong, J, Hou, Y
openaire +2 more sources
Interpreting the effects of DNA polymerase variants at the structural level
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
Probabilistic Risk Assessment in Power Systems With High Wind Energy Penetration
Power systems are increasingly confronted with operational uncertainties. These stem from the integration of wind and solar energy sources with inherently stochastic generation behavior.
Mahmoud Draz +2 more
doaj +1 more source

