Results 181 to 190 of about 175,990 (247)

Mechanisms of SCN2A loss of function do not predict presence or phenotype of epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Objective SCN2A loss‐of‐function (LoF) variants are associated with epilepsy (onset age ≥ 3 months), intellectual disability (ID), and autism spectrum disorder (ASD). Despite numerous identified variants and the description of phenotypic subgroups, relationships between Nav1.2 channel dysfunction and clinical phenotypes remain unclear.
Marsha Tan   +23 more
wiley   +1 more source

Precision therapies for genetic epilepsies in 2025: Promises and pitfalls

open access: yesEpilepsia Open, EarlyView.
Abstract By targeting the underlying etiology, precision therapies offer an exciting paradigm shift to improve the stagnant outcomes of drug‐resistant epilepsies, including developmental and epileptic encephalopathies. Unlike conventional antiseizure medications (ASMs) which only treat the symptoms (seizures) but have no effect on the underlying ...
Shuyu Wang   +3 more
wiley   +1 more source

Advances in Double‐Stranded DNA Targeting Technologies

open access: yesExploration, EarlyView.
Double‐stranded DNA (dsDNA) plays a crucial role in genetic information storage and disease management, but its inherent stability limits access to internal bases. To overcome this challenge, various high‐specificity molecular targeting technologies have been developed to destabilize the DNA structure.
Zuhao Shen   +8 more
wiley   +1 more source

A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley   +1 more source

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio   +1 more
wiley   +1 more source

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