Results 141 to 150 of about 123,947 (328)

Model of the Classification of English Vowels by Spanish Speakers [PDF]

open access: yes, 1999
A number of models of single language vowel classification based on formant representations have been proposed. We propose a new model that explicitly predicts vowel perception by second language (L2) learners based on the phonological map of their ...
Cohen, Michael   +3 more
core   +1 more source

Long‐term predictors of seizure outcome after anterior temporal lobectomy in unilateral hippocampal sclerosis: A 281‐patient cohort with mean 10‐year follow‐up

open access: yesEpileptic Disorders, EarlyView.
Abstract Objective To identify long‐term predictors of seizure outcome after anterior temporal lobectomy (ATL) in a large, homogeneous cohort of patients with drug‐resistant temporal lobe epilepsy (TLE) and MRI‐defined unilateral hippocampal sclerosis (HS), all operated on by a single neurosurgeon with extended follow‐up.
Thiago Pereira Rodrigues   +9 more
wiley   +1 more source

Perceptual Calibration of F0 Production: Evidence from Feedback Perturbation [PDF]

open access: yes, 2000
Hearing one’s own speech is important for language learning and maintenance of accurate articulation. For example, people with postlinguistically acquired deafness often show a gradual deterioration of many aspects of speech production.
Jones, Jeffery A., Munhall, Kevin
core   +1 more source

Real world testing and cost‐effectiveness analysis of subcutaneous EEG (REAL‐ASE): Protocol for a prospective multicentre interventional trial

open access: yesEpilepsia Open, EarlyView.
Abstract Objective Epilepsy is a common condition associated with significant morbidity, mortality, and costs. Poor documentation of seizures is a major challenge in epilepsy care. Objective seizure counting with mobile devices may mitigate this challenge and improve patient management.
Matthew McWilliam   +8 more
wiley   +1 more source

Simultaneous tDCS‐rTMS stimulation to regulate the language network and improve language ability in Landau–Kleffner syndrome

open access: yesEpilepsia Open, EarlyView.
Abstract Landau–Kleffner syndrome (LKS) is a rare epileptic syndrome causing language regression. In this preliminary study, we investigated the effects of simultaneous transcranial direct current stimulation (tDCS) and transcranial magnetic stimulation (rTMS) on LKS patients and the underlying mechanism based on magnetoencephalography (MEG) network ...
Runze Chen   +12 more
wiley   +1 more source

The N2-P3 complex of the evoked potential and human performance [PDF]

open access: yes
The N2-P3 complex and other endogenous components of human evoked potential provide a set of tools for the investigation of human perceptual and cognitive processes. These multidimensional measures of central nervous system bioelectrical activity respond
Cohen, Ronald A., Odonnell, Brian F.
core   +1 more source

Hypophosphatemia in suspected seizures evaluated in first seizure clinics and neurology consults

open access: yesEpilepsia Open, EarlyView.
Abstract Transient loss of consciousness (TLoC) is a leading cause of referrals to acute neurological services. A witness account is often lacking, and ancillary investigations are a critical diagnostic adjunct. Hypophosphatemia was recently identified as a potential marker of epileptic seizures in ward and emergency department presentations.
Sophie N. M. Binks   +3 more
wiley   +1 more source

Geranium Essential Oil Use for Human Health: A Systematic Review of Clinical Evidence

open access: yesFlavour and Fragrance Journal, EarlyView.
Geranium essential oil (Pelargonium graveolens) demonstrates efficacy in alleviating anxiety, pain and dermatological conditions, supporting its use as a safe, low‐cost complementary therapy. However, further controlled studies are needed to standardise protocols and confirm its benefits.
Amanda Karina Santos Vieira   +2 more
wiley   +1 more source

Validating Explainer Methods: A Functionally Grounded Approach for Numerical Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecasting systems have a long tradition in providing outputs accompanied by explanations. While the vast majority of such explanations relies on inherently interpretable linear statistical models, research has put forth eXplainable Artificial Intelligence (XAI) methods to improve the comprehensibility of nonlinear machine learning models. As
Felix Haag   +2 more
wiley   +1 more source

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