Results 91 to 100 of about 54,440 (261)
Greedy knot selection algorithm for restricted cubic spline regression. [PDF]
Front Epidemiol, 2023 Arnes JI +3 more
europepmc +1 more source
Epileptic Disorders, EarlyView.Abstract Background Epilepsy is a serious chronic brain disease. However, limited study is focused on the association between dietary pattern and epilepsy management. Hence, we aim to investigate the association between the Healthy Eating Index (HEI‐2020) and epilepsy odds.
Kun Yu, Yingxin Wang, Huaiqing Gao
wiley +1 more source
Epileptic Disorders, EarlyView.Abstract Objective This study aimed to investigate the association between methylmalonic acid (MMA) and epilepsy prevalence and to explore potential inflammatory and nutritional pathways underlying this association. Methods This study included adults aged ≥ 20 years from the National Health and Nutrition Examination Survey (NHANES) 2011–2014.
Ningyu Wei +5 more
wiley +1 more source
Alexandria Engineering JournalThis research paper investigates a numerical scheme based on cubic B-spline functions for solving the time fractional gas dynamics equation incorporating the Atangana–Baleanu derivative.
Rabia Noureen +4 more
doaj +1 more source
Does age influence diagnostic outcomes in an adult cohort referred to a first‐seizure clinic?
Epilepsia, EarlyView.Abstract Objective The aging Danish population is associated with increasing morbidity and healthcare utilization. This study examines age‐related differences in resource utilization and diagnostic outcomes between older (65–95 years) and younger adults (18–64 years) evaluated for suspected epilepsy, including clinical management, diagnostic yield, and
Anne Line Lund Birkmose +3 more
wiley +1 more source
Complex Versus Parsimonious Site‐Based Stochastic Ground Motion Models: Which One Is Better?
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Stochastic ground motion models (GMMs) provide a probabilistic representation of seismic input and are increasingly important for uncertainty quantification (UQ) in earthquake engineering. This study focuses on site‐based stochastic GMMs, which learn the statistical features of selected datasets of seismic records and generate statistically ...
Maijia Su +2 more
wiley +1 more source
Impact of modified B-splines on particle-in-cell modeling for electron-ion nonlinear dynamics
Cogent EngineeringThe present study explores the impact of implementing a third-order B-spline as a kernel function with random modifications in Particle-In-Cell (PIC) simulations for nonlinear electron-ion dynamics.
Gibran Jalil Garnica-Castro +3 more
doaj +1 more source
Cubic spline functions revisited
Journal of Computational and Applied MathematicsIn this paper a fourth order asymptotically optimal error bound for a new cubic interpolating spline function, denoted by Q-spline, is derived for the case that only function values at given points are used but not any derivative information. The bound seems to be stronger than earlier error bounds for cubic spline interpolation in such setting such as
openaire +2 more sources
Variance‐Empirical Mode Decomposition Method for Fault Detection in MMC‐HVDC Transmission Lines
Energy Science &Engineering, EarlyView.A variance‐embedded empirical mode decomposition (VEMD) method is proposed for fast and accurate fault detection in MMC‐HVDC transmission lines. By combining variance analysis with EMD, the method reliably detects various faults without communication links and remains robust to noise and non‐fault transients.
Seyed Amir Hosseini, Behrooz Taheri
wiley +1 more source
A novel stochastic ten non-polynomial cubic splines method for heat equations with noise term
Partial Differential Equations in Applied MathematicsIn this paper, a new numerical method for solving a class of stochastic partial differential equations is presented. The proposed method is based on a non-polynomial cubic spline algorithm with an O(h4) local truncation error.
Aisha F. Fareed +2 more
doaj +1 more source