Results 91 to 100 of about 54,234 (265)
Abstract Objective This study was undertaken to evaluate whether seizure freedom in pregnancy predicts seizure freedom in the postpartum period in women with epilepsy (WWE). Prior studies have shown that seizure freedom prior to conception strongly predicts seizure freedom during pregnancy.
Emma C. Osterhaus +7 more
wiley +1 more source
Ivermectin, A Reanalysis of the Data
Paul E. Marik, Pierre Kory
openaire +3 more sources
Oligogenic inheritance in epilepsy: A systematic exome‐wide analysis
Abstract Objective Genetic factors contribute to the majority of epilepsies, but the exact genetic cause remains unknown in most patients. Incomplete penetrance and variable expressivity are frequent, and recent studies showed a burden of deleterious variants in epilepsy genes, suggesting a role for oligogenic inheritance.
Sarah Duerinckx +192 more
wiley +1 more source
Evaluation of Downward Shortwave Radiation Products Over the Loess Plateau
Downward shortwave radiation (DSR) is a key component of the surface energy budget, influencing atmospheric circulation and climate change. DSR products derived from remote sensing observations or generated from reanalysis systems are commonly used as ...
Qianqian Tian +3 more
doaj +1 more source
Abstract Objective Left anterior temporal lobe resection (TLR) in people with epilepsy is associated with a high risk of postoperative verbal memory decline. Whereas substantial evidence supports the role of preoperative verbal memory in predicting postoperative verbal memory change, the potential contribution of preoperative visual memory has been ...
Lea Marie Reisch +6 more
wiley +1 more source
Passive microwave (PM) observations have been used to monitor ice retreat in the Arctic. However, various PM sea ice concentration (SIC) algorithms are prone to underestimate ice fraction during summer.
Kexin Song, Peter J. Minnett
doaj +1 more source
Diagnostic Lag in Precision Medicine
Clinical Pharmacology &Therapeutics, EarlyView.
Petr Heneberg
wiley +1 more source
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem +3 more
wiley +1 more source
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani +4 more
wiley +1 more source
This study delves into the intricate process of reanalysis, wherein linguistic expressions undergo grammatical or semantic changes, or sometimes both.
Bar-Asher Siegal Elitzur A.
doaj +1 more source

