Results 71 to 80 of about 649,385 (296)
Short-Term Power Load Forecasting Based on Cross Multi-Model and Second Decision Mechanism
Short-term load forecasting (STLF) plays a vital role in the reliable, secure, and efficient operation of power systems. Since electric load variation results from diverse factors, accurate and stable load forecasting remains a challenging task.
Pan Zeng, Min Jin, Md. Fazla Elahe
semanticscholar +1 more source
We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto +8 more
wiley +1 more source
Deep Neural Network and Long Short-Term Memory for Electric Power Load Forecasting
Forecasting domestic and foreign power demand is crucial for planning the operation and expansion of facilities. Power demand patterns are very complex owing to energy market deregulation.
Namrye Son, Seunghak Yang, Jeong-su Na
semanticscholar +1 more source
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié +13 more
wiley +1 more source
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
Improving Short-Term Electricity Price Forecasting Using Day-Ahead LMP with ARIMA Models
Short-term electricity price forecasting has become important for demand side management and power generation scheduling. Especially as the electricity market becomes more competitive, a more accurate price prediction than the day-ahead locational ...
Miller, Carol +3 more
core +1 more source
Power Load Forecasting using Back Propagation Algorithm
The day today operation and scheduling activities of a power generation unit requires the forecast of power demand to meet the needs of the consumers. Load forecasting is categorized into short, medium and long term forecasts. The short term prediction refers to hourly load forecast for the period lasting from an hour to more than a few days.
J. Veerendra Kumar +3 more
openaire +1 more source
Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken +7 more
wiley +1 more source
Power Load Forecasting based on the Parallel Chaos Algorithm
The power load forecasting is an important part of the power system planning and the operation research. With the continuous increase of the power consumption in China, the research of the power load forecasting has been paid by the people. Because the power load data are very huge, it brings many difficulties to the related prediction research.
Chang X., Li B.X.
openaire +2 more sources
Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin
Basroparib, a selective tankyrase inhibitor, suppresses Wnt signaling and attenuates YAP‐driven oncogenic programs by stabilizing angiomotin. It promotes AMOT–YAP complex formation, enforces cytoplasmic YAP sequestration, inhibits YAP/TEAD transcription, and sensitizes YAP‐active cancers, including KRAS‐mutant colorectal cancer, to MEK inhibition.
Young‐Ju Kwon +4 more
wiley +1 more source

