Results 81 to 90 of about 136,820 (296)
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen +11 more
wiley +1 more source
Accurate power load forecasting for large industrial users plays a crucial role in developing effective power consumption plans and energy-saving strategies. It also contributes to optimizing the operational efficiency of the power grid.
Zhaoguo Wang +4 more
doaj +1 more source
Optimal Dispatch of Residential Photovoltaic Inverters Under Forecasting Uncertainties
Efforts to ensure reliable operation of existing low-voltage distribution systems with high photovoltaic (PV) generation have focused on the possibility of inverters providing ancillary services such as active power curtailment and reactive power ...
Dall'Anese, Emiliano +3 more
core +1 more source
Short-Term Load Forecasting: The Similar Shape Functional Time Series Predictor [PDF]
We introduce a novel functional time series methodology for short-term load forecasting. The prediction is performed by means of a weighted average of past daily load segments, the shape of which is similar to the expected shape of the load segment to be
Paparoditis, Efstathios +1 more
core +1 more source
Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer
COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann +61 more
wiley +1 more source
A methodology for Electric Power Load Forecasting
AbstractElectricity demand forecasting is a central and integral process for planning periodical operations and facility expansion in the electricity sector. Demand pattern is almost very complex due to the deregulation of energy markets. Therefore, finding an appropriate forecasting model for a specific electricity network is not an easy task ...
Eisa Almeshaiei, Hassan Soltan
openaire +2 more sources
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
An Unsupervised Deep Learning Approach for Scenario Forecasts
In this paper, we propose a novel scenario forecasts approach which can be applied to a broad range of power system operations (e.g., wind, solar, load) over various forecasts horizons and prediction intervals. This approach is model-free and data-driven,
Chen, Yize, Wang, Xiyu, Zhang, Baosen
core +1 more source
Targeting TNBC: core–shell polycationic polyurea dendrimers with inherent anticancer activity
Core–shell polycationic PURE dendrimers were tested in TNBC‐derived tumor models. Both formulations selectively targeted TNBC and effectively reduced tumor volume. PUREG4‐OEI48 suppressed tumor growth without detectable toxicity, whereas PUREG4‐OCEI24, despite showing efficacy, induced hepatic toxicity.
Adriana Cruz +9 more
wiley +1 more source
Power short-term load forecasting based on big data and optimization neural network
With the reduction of the cost of power data acquisition and the interconnection of large scale power systems,the types of data available in the power network are becoming more and more abundant.In the past,the centralized fore-casting method was limited
Xin JIN +5 more
doaj +2 more sources

