Deep Neural Network-Driven Analysis of Free Vibrations in Tapered Beams
Applied MechanicsMost physical systems exhibit nonlinear behavior while in motion, making their resolution challenging due to nonlinearity, dynamic effects, and sensitivity to parameters such as frequency and amplitude. Traditional analytical and numerical approaches can
Jamshaid Ul Rahman +3 more
doaj +1 more source
Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong +7 more
wiley +1 more source
Asymptotic bias for GMM and GEL estimators with estimated nuisance parameters [PDF]
This papers studies and compares the asymptotic bias of GMM and generalized empirical likelihood (GEL) estimators in the presence of estimated nuisance parameters.
Joaquim J. S. Ramalho +2 more
core
Reduced Muscular Carnosine in Proximal Myotonic Myopathy—A Pilot 1H‐MRS Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Myotonic dystrophy type 2 (proximal myotonic myopathy, PROMM) is a progressive multisystem disorder with muscular symptoms (proximal weakness, pain, myotonia) and systemic manifestations such as diabetes mellitus, cataracts, and cardiac arrhythmias.
Alexander Gussew +11 more
wiley +1 more source
Prediction Error After Lens Implantation in Children With Axial Length Less than 22 mm Below 2 Yrs
Delhi Journal of Ophthalmology, 2016 Purpose: To compare the accuracy of IOL power calculation in children less than 2 years of age with axial length less than 22 mm using the SRK-T, SRK-II, and Hoffer-Q formulae. Design: Retrospective comparative study. Methods: We retrospectively analysed
Reena Gupta +3 more
doaj +1 more source
Modelling and forecasting volatility of East Asian Newly Industrialized Countries and Japan stock markets with non-linear models [PDF]
This paper explores the forecasting performances of several non-linear models, namely GARCH, EGARCH, APARCH used with three distributions, namely the Gaussian normal, the Student-t and Generalized Error Distribution (GED).
Guidi, Francesco
core +1 more source
A simple ocean performance metrics applied to historical CMIP5 simulations [PDF]
, 2017 While in atmosphere models it is already common to define objective metrics to investigate how well an atmospheric model performs compared to observations, this is not too common for ocean models.
Jung, Thomas +2 more
core
Hospital Readmission After Traumatic Brain Injury Hospitalization in Community‐Dwelling Older Adults
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To examine the risk of hospital readmission after an index hospitalization for TBI in older adults. Methods Using data from the Atherosclerosis Risk in Communities (ARIC) study, we used propensity score matching of individuals with an index TBI‐related hospitalization to individuals with (1) non‐TBI hospitalizations (primary analysis)
Rachel Thomas +7 more
wiley +1 more source
Energies, 2018 The rapidly increasing use of renewable energy resources in power generation systems in recent years has accentuated the need to find an optimum and efficient scheme for forecasting meteorological parameters, such as solar radiation, temperature, wind ...
Mehdi Seyedmahmoudian +7 more
doaj +1 more source
Calculating tumor trajectory and dose-of-the-day using cone-beam CT projections
, 2015 Purpose: Cone-beam CT (CBCT) projection images provide anatomical data in real-time over several respiratory cycles, forming a comprehensive picture of tumor movement.
Jones, Bernard L. +2 more
core +1 more source