Results 191 to 200 of about 263,732 (287)

Prediction of treatment response in infantile epileptic spasms syndrome using EEG phase–amplitude coupling

Epilepsia Open, EarlyView.
Abstract Objective Treatment selection for infantile epileptic spasms syndrome (IESS) is complex and multifaceted, and currently no electroencephalogram (EEG) biomarkers can guide this decision by predicting treatment response. We tested the predictive value of phase–amplitude coupling (PAC) as IESS patients are known to have elevated PAC.
Soudeh Mostaghimi, Marco A. Pinto‐Orellana, Nathaniel Green, Daniel W. Shrey, Makoto Miyakoshi, Shaun A. Hussain, Beth A. Lopour   +6 more
wiley   +1 more source

An iEEG investigation on sex‐specific differences in seizure duration

Epilepsia Open, EarlyView.
Abstract Objective Male people with epilepsy (mPWE) are at higher risk for bilateral tonic–clonic seizures (BTCs) and sudden unexpected death in epilepsy (SUDEP) compared to female people with epilepsy (fPWE). Despite major clinical and personal implications, little is known about sex‐specific differences in seizure propagation and termination ...
Paula Albert I Gracenea, Alexandra Muss, Magdalena Seethaler, Jan Rémi, Elisabeth Kaufmann   +4 more
wiley   +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

Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression. [PDF]

G3 (Bethesda), 2015
Montesinos-López OA, Montesinos-López A, Crossa J, Burgueño J, Eskridge K.   +4 more
europepmc   +1 more source

Sensitivity of Risk‐Based Demand Curves to Analytical Fragility Function Fitting Using Multiple‐Stripe Analyses

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Risk‐based seismic assessments using demand curves that provide mean annual exceedance rates for various system demand levels are increasingly being adopted. Such assessments combine the seismic hazard curve with fragility functions for each demand level, serving as a basis to quantify the average annual losses from system damage. Constructing
Zeyad Khalil, Peter J. Stafford, Ahmed Y. Elghazouli   +2 more
wiley   +1 more source

Multivariate decoding of brain images using ordinal regression. [PDF]

Neuroimage, 2013
Doyle OM, Ashburner J, Zelaya FO, Williams SCR, Mehta MA, Marquand AF.   +5 more
europepmc   +1 more source

Assessment of Maladaptive Exercise History Among Individuals With Eating Disorders: Validation of a Brief, Self‐Report Measure

European Eating Disorders Review, EarlyView.
ABSTRACT Objective Maladaptive exercise is a common symptom of eating disorders (EDs). While several measures exist to assess current maladaptive exercise, there are no validated self‐report tools to assess maladaptive exercise history—an important symptom domain among individuals with lifetime EDs.
Katherine Schaumberg, Hunna J. Watson, Laura M. Thornton, Hannah L. Kennedy, Shu H. Ong, Preston Roche, Kayla Costello, Wesley R. Barnhart, Sian B. Pauley‐Gadd, Rachael E. Flatt, Andreas Birgegård, Lisa Dinkler, Afrouz Abbaspour, Emma Forsén Mantilla, Elin Monell, Emma M. Frans, Sarah Barakat, Michaela A. Pettie, Richard Parker, Sarah Maguire, Jennifer Jordan, Martin A. Kennedy, Nailah Adams Morancie, Cynthia M. Bulik   +23 more
wiley   +1 more source

ordinalgmifs: An R Package for Ordinal Regression in High-dimensional Data Settings. [PDF]

Cancer Inform, 2014
Archer KJ, Hou J, Zhou Q, Ferber K, Layne JG, Gentry AE.   +5 more
europepmc   +1 more source

Direct and Spatial Effects of Carbon Emission Trading System on Carbon Emissions in the Logistics Sector—Evidence From the Yangtze River Economic Belt in China

Energy Science &Engineering, EarlyView.
(1) A theoretical framework for examining the impact of the CETS on carbon emissions in the LS of the YREB is developed based on Porter's hypothesis and synergy theory. (2) Assessing the Effects of a CETS through DID Modeling. (3) The spatial correlation of carbon emissions within the LS is examined through the development of a SDM.
Zhaoyang Zhao, Chong Ye, Jing Huang
wiley   +1 more source