Results 221 to 230 of about 1,406,006 (303)
Multiple-index interaction models to accommodate exposure grouping in environmental mixtures. [PDF]
Lee M, Liu M, Zhao S.
europepmc +1 more source
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
EEG response and productivity outcome under changing indoor environment. [PDF]
Zhang S, Ma T, Zuoqiu S.
europepmc +1 more source
Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers
ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt +5 more
wiley +1 more source
Drone-based composite risk mapping reveals vegetation-shade interaction and housing typology as key determinants of Aedes habitat risk. [PDF]
Mahfodz Z +4 more
europepmc +1 more source
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Uncovering Systemic Dynamics through an Integrated WEFE Nexus Index across 21st Century Futures. [PDF]
Özcan Z, Alp E.
europepmc +1 more source
ABSTRACT Background SOX1 antibody‐positive paraneoplastic neurological syndromes (PNS) exhibit significant population‐specific clinical heterogeneity. While Western cohorts predominantly manifest Lambert‐Eaton myasthenic syndrome (65%–80%), comprehensive clinical characterization and treatment response data in Asian populations remain critically ...
Jin‐Long Ye +11 more
wiley +1 more source
Predicting energy prices and renewable energy adoption through an optimized tree-based learning framework with explainable artificial intelligence. [PDF]
Tang T.
europepmc +1 more source

