Results 151 to 160 of about 155,814 (304)
The real option value of multistage agricultural research for development. [PDF]
Schiek B.
europepmc +1 more source
Abstract Objective Autoimmune epilepsy (AES) is increasingly recognized as a condition in patients with epilepsy of unknown etiology. Early immunotherapy improves outcomes; however, data on its prevalence and the frequency of anti‐neural/neuronal antibodies in Asian populations remain scarce.
Seong Jin Park +14 more
wiley +1 more source
Early Pregnancy Glycemic Testing for Prediction of Gestational Diabetes Mellitus and Large-for-Gestational-Age Birth Weight. [PDF]
GO MOMs Study Group* .
europepmc +1 more source
Abstract Objective Bilateral hippocampal compromise in temporal lobe epilepsy (TLE) substantially increases the risk of significant adverse memory outcomes following unilateral anterior temporal lobectomy and may contraindicate surgery. The Spatial Learning Task (SLT) of Lhermitte and Signoret (1972) is a simple object–location arbitrary associative ...
Andy Sitoh +6 more
wiley +1 more source
Evaluation of the Impact of Universal Mupirocin Decolonization in Intensive Care Units on the Utility of Methicillin-Resistant Staphylococcus aureus Polymerase Chain Reaction Nasal Swab Testing. [PDF]
Ito AS +6 more
europepmc +1 more source
ABSTRACT Background The Eating Disorder Examination Questionnaire (EDE‐Q) remains the most widely used self‐report measure of eating disorder symptoms, despite concerns regarding its factorial instability, construct redundancy, and local item dependence. Numerous brief versions have been proposed to address these limitations.
Rafael Moreton Alves da Rocha +3 more
wiley +1 more source
Validation of Claims-Based Algorithms for Intussusception Identification in Japanese Hospitals: A Multicenter Analysis From the CLEAR Study. [PDF]
Saito K +4 more
europepmc +1 more source
An investor is estimating net present value of a firm project and performs risk analysis. Usually it is created portfolio hierarchies and make comparison of variants of project based on these hierarchies.
Ondrej Hudak, Jana Hudakova
core
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
Repeated exposure rivals lightweight training in Bayesian inference: accuracy, retention, and generalization. [PDF]
Pighin S, Ghin P, Tentori K.
europepmc +1 more source

