Results 231 to 240 of about 2,509,073 (310)

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

Establishing Reference Intervals for Fat-Soluble Vitamins in Healthy Chinese Adults: Study Protocol for a Cross-Sectional, Multicenter Study.

JMIR Res Protoc
Liu Z, Liu C, Li N, Shen C, Qiu L, Sheng D.   +5 more
europepmc   +1 more source

Biochemical Associations with Depression, Anxiety, and Stress in Hemodialysis: The Role of Albumin, Calcium, and β₂-Microglobulin According to Gender. [PDF]

Biomedicines
Zaragoza Fernández GM, Jiménez Mayor E, Chandu Nanwani A, Rodríguez Tudero C, De La Flor JC, Fernández Castillo R.   +5 more
europepmc   +1 more source

Structural brain imaging biomarkers for predicting seizure recurrence after a first unprovoked seizure

Epilepsia Open, EarlyView.
Abstract Objectives Predicting seizure recurrence following a first unprovoked seizure (FUS) remains a significant clinical challenge, especially when routine clinical magnetic resonance imaging (MRI) and EEG do not reveal abnormalities diagnostic of epilepsy.
Suyi Ooi, Chris Tailby, Heath R. Pardoe, Patrick W. Carney, Moksh Sethi, Jonas Haderlein, Graeme D. Jackson, David N. Vaughan   +7 more
wiley   +1 more source

A modified EWMA signed rank control chart for enhanced quality monitoring in the automobile industry. [PDF]

Sci Rep
Abbas T, Munir R, Abid M, Bakr ME.
europepmc   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

Chronic pain and risk of gastrointestinal diseases in middle-aged and elderly Chinese adults: The roles of depression and sleep. [PDF]

Medicine (Baltimore)
Li Q, Li X, Chen W, Zhu Z, Yang Y, Xie Y, Zhu G, Zhu H.   +7 more
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

A Functional Joint Model for Survival and Multivariate Sparse Functional Data in Multi-Cohort Alzheimer's Disease Study. [PDF]

Stat Med
Wang W, Xiao L, Li R, Luo S, Alzheimer's Disease Neuroimaging Initiative.   +4 more
europepmc   +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