Results 231 to 240 of about 231,426 (276)

Predictors of etiology and drug resistance in children with new‐onset focal seizures

Epilepsia Open, EarlyView.
Abstract Objective To examine the clinical features of new‐onset focal seizures in children and investigate clinical associations and predictors of underlying etiology and drug resistance. Methods Data were gathered from The Children's Hospital at Westmead admissions for patients aged 1 month to 18 years who presented with new‐onset focal seizures ...
Byoung Chan Lee, Russell C. Dale, Elizabeth H. Barnes, Shekeeb S. Mohammad, Sachin Gupta, Chong Wong, Deepak Gill, Kavitha Kothur   +7 more
wiley   +1 more source

Nonparametric estimation of benchmark doses in environmental risk assessment. [PDF]

Environmetrics, 2012
Piegorsch WW, Xiong H, Bhattacharya RN, Lin L.   +3 more
europepmc   +1 more source

Sleep enhances gamma oscillations in the seizure onset zone and broadband activity in the irritative zone of focal cortical dysplasia

Epilepsia Open, EarlyView.
Abstract Objective Focal cortical dysplasia (FCD) is a leading cause of drug‐resistant epilepsy and is associated with sleep‐related seizures, yet the underlying electrophysiological mechanisms during different brain states remain poorly understood. We investigated whether fast oscillations (FOs) within the seizure onset zone (SOZ) and irritative zone (
Mohammad F. Khazali, Nina Schwoon, Armin Brandt, Matthias Dümpelmann, Yiwen Li Hegner, Nicolas Roehri, Dirk‐Matthias Altenmüller, Victoria San Antonio‐Arce, Peter C. Reinacher, Julia M. Nakagawa, Soroush Doostkam, Theo Demerath, Horst Urbach, Andreas Schulze‐Bonhage, Marcel Heers   +14 more
wiley   +1 more source

A statistical inference framework for FSNBLR: Modeling underdeveloped regional status in Eastern Indonesia. [PDF]

MethodsX
Zulfadhli M, Budiantara IN, Ratnasari V, Saffa Suriaslan A, Chandra Dhewy R.   +4 more
europepmc   +1 more source

NONPARAMETRIC ESTIMATION OF GENEWISE VARIANCE FOR MICROARRAY DATA. [PDF]

Ann Stat, 2010
Fan J, Feng Y, Niu YS.
europepmc   +1 more source

Neuropsychological profile and social cognition in children and adolescents with temporal lobe epilepsy

Epilepsia Open, EarlyView.
Abstract Objective To characterize the neuropsychological profile and social cognition, particularly Theory of Mind (ToM), in 45 children and adolescents with temporal lobe epilepsy (TLE) compared with 56 age, gender, and schooling‐matched healthy controls.
Claudia Accolla, Martina Preti, Pietro Cappelletto, Salvatore De Masi, Carmen Barba, Renzo Guerrini   +5 more
wiley   +1 more source

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

Journal 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

Wasserstein GAN-based estimation for conditional distribution function with current status data. [PDF]

Lifetime Data Anal
Su W, Liu C, Yin G, Huang J.
europepmc   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer, Kristofer Månsson, Pär Sjölander, Gazi Salah Uddin   +3 more
wiley   +1 more source