Results 151 to 160 of about 155,814 (304)

Frequency of anti‐neural antibodies and autoimmune epilepsy in focal epilepsy of unknown etiology: An observational study in a Singaporean cohort

open access: yesEpilepsia Open, EarlyView.
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

The spatial learning task of Lhermitte and Signoret: Marker of bilateral hippocampal dysfunction in temporal lobe epilepsy

open access: yesEpilepsia Open, EarlyView.
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

Critically Revisiting the Psychometric Properties of the EDE‐Q and Its Short Forms: Is It Time to Move On?

open access: yesEuropean Eating Disorders Review, EarlyView.
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

Firm Projects, NPV and Risk

open access: yes
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  

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

open access: yesEnergy Science &Engineering, EarlyView.
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

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