On the Temporal Variability of Precipitation in Iraq: Arid‐Wet Years and Extreme Events
Daily and monthly precipitation data in Iraq display high seasonal to interdecadal variability, with arid and wet years that have very distinct seasonal cycles. Monthly rainfall is significantly correlated with the Indian Ocean Dipole. Extreme events are identified and classified as belonging to four different weather patterns, allowing to obtain daily
Ali Raheem Al‐Nassar +2 more
wiley +1 more source
Multiobjective Design of Growth Media with Genome-Scale Metabolic Models and Bayesian Optimization. [PDF]
Hallmann N +4 more
europepmc +1 more source
Non‐Stationary Dry‐Spell Hazard Probabilities for Spain
This study assesses long‐term changes in dry‐spell hazard probabilities across Spain (1961–2024) using a novel non‐stationary extreme value framework applied to daily precipitation records from a dense observational network. Results show that dry‐spell duration and associated return levels are dominantly stationary, with non‐stationary models providing
S. M. Vicente‐Serrano +13 more
wiley +1 more source
Multi-Objective Parameter Optimization Design of Heat Pipe Heat Sink for Bidirectional Power Converter Based on MOEDO Algorithm. [PDF]
Su Z +6 more
europepmc +1 more source
Abstract Patients admitted for inflammatory bowel disease (IBD) are often managed by rotating teams of care providers during their hospital stay. This can lead to potential variability in the care they receive. Our team developed a scoring system of six key high‐quality care components called the standardized IBD care index (SICI) to standardize care ...
Amir Jazayeri +4 more
wiley +1 more source
Optimal Techno-Economic Feasibility of Solar PV Irrigation System Augmented Hydrogen Energy Storage. [PDF]
O Mohamed MV +2 more
europepmc +1 more source
Bayesian optimization combined with in situ quantitative phase imaging enables autonomous correction of layer‐height deviations in projection multi‐photon lithography. By jointly tuning model parameters and grayscale exposure settings, the method achieves more uniform and accurate layers within 300 prints, offering a fast, data‐efficient route to ...
Jason E. Johnson, Xianfan Xu
wiley +1 more source
Learning-based multi-objective hyper-heuristic algorithm for reconfigurable assembly line scheduling problems. [PDF]
Zhao H +5 more
europepmc +1 more source
Application of Machine Learning in Heat Treatment Process Design of Carburized Steel
To accelerate heat treatment design, we constructed a closed‐loop machine learning strategy involving multi‐source datasets and feature screening. The optimized model accurately predicts hardness and friction coefficients, successfully guiding the process optimization for two typical carburized steels with high experimental consistency.
Di Jiang +5 more
wiley +1 more source
A Multi-Gradient-Descent-Integrated Physics-Informed Autoencoder for Sensor Fault Detection in Data Center Chillers. [PDF]
Shen X, Li P, Xu C, Xu C.
europepmc +1 more source

