Results 41 to 50 of about 166,859,727 (259)

Parametric Kalman filter for chemical transport models

Tellus: Series A, Dynamic Meteorology and Oceanography, 2016
A computational simplification of the Kalman filter (KF) is introduced – the parametric Kalman filter (PKF). The full covariance matrix dynamics of the KF, which describes the evolution along the analysis and forecast cycle, is replaced by the dynamics ...
Olivier Pannekoucke, Sophie Ricci, Sebastien Barthelemy, Richard Ménard, Olivier Thual   +4 more
doaj   +1 more source

Permutation Variation and Alternative Hyper-Sphere Decomposition

Mathematics, 2022
Current covariance modeling methods work well in longitudinal data analysis. In the analysis of data with no nature order, a common covariance modeling method would be inadequate.
Qingze Li, Jianxin Pan
doaj   +1 more source

Safety and Efficacy of GLP‐1 Receptor Agonists in Adults With Epilepsy, Obesity, and Type 2 Diabetes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Managing obesity in patients with epilepsy is complicated by the weight‐gaining properties of essential antiseizure medications (ASMs) such as valproate and pregabalin. We evaluated the safety and efficacy of initiating glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) in this population.
Hyoshin Son, Inyoung Hwang, Sang Won Lee, Yun Kim   +3 more
wiley   +1 more source

Real‐World Longitudinal Data on the Impact of Hydroxychloroquine Blood Level Monitoring on Lupus Outcomes: Results of a Prospective Longitudinal Cohort Study

Arthritis Care &Research, EarlyView.
Objective Hydroxychloroquine (HCQ) is a cornerstone therapy in systemic lupus erythematosus (SLE), but the weight‐based dosing does not account for clinical factors that can introduce individual variability in drug metabolism and clearance. We leveraged longitudinal data from a prospective SLE cohort to identify clinical factors that predict ...
Jay J. Patel, Fauzia Hollangel, Caroline Packee, Amita Kapoor, Brad Rovin, Nathalie Costedoat‐Chalumeau, Shivani Garg   +6 more
wiley   +1 more source

Real‐World Safety and Effectiveness of JAK Inhibitors in Systemic Sclerosis: A Propensity‐Matched Study From the EUSTAR Cohort

Arthritis Care &Research, EarlyView.
Objective JAK inhibitors (JAKi) have shown promising effects in early‐phase studies of systemic sclerosis (SSc). We aimed to assess the safety and explore the effectiveness of JAKi compared to conventional immunosuppressants in SSc. Methods A longitudinal retrospective study of the European Scleroderma Trials and Research Group (EUSTAR) cohort was ...
Stefano Di Donato, Marie‐Elise Truchetet, Marco Minerba, Oliver Distler, Juan José Alegre Sancho, Yolanda Braun‐Moscovici, Christina Bergmann, Petros Sfikakis, Jeska K. de Vries‐Bouwstra, Murray Baron, Silvia Bellando‐Randone, Lorenzo Dagna, Christopher P. Denton, Madelon C. Vonk, Vanessa Smith, Ivan Castellvi, Gabriela Riemekasten, Andra Balanescu, Masataka Kuwana, Maria De Santis, Kamal Solanki, Anastas Batalov, Vahan Mukuchyan, Marco Matucci‐Cerinic, Yannick Allanore, Francesco Del Galdo, Michael Hughes, EUSTAR Collaborators   +27 more
wiley   +1 more source

Fit one model, report one number: how to analyse a training or intervention study

Frontiers in Physiology
A typical training or intervention study allocates participants to protocols, measures them repeatedly over time, and asks whether one protocol changes the outcome more than another.
Gudrun Schappacher-Tilp, Markus Tilp
doaj   +1 more source

DIFFERENCES OF MOTORIC SPACE OF CHILDREN IN URBAN AND RURAL AREAS WITH PARTIALISATION OF MORPHOLOGICAL CHARACTERISTICS [PDF]

Sport Mont, 2013
The research was conducted on a sample of 168 children of 4th grade of a primary school, divided into two subsamples of 91 participants from urban areas and 77 participants from rural areas, divided by gender.
Momčilo Pelemiš, Nebojša Mitrović, Vladan Pelemiš, Jovo Rankić   +3 more
doaj  

An anisotropic formulation of the parametric Kalman filter assimilation

Tellus: Series A, Dynamic Meteorology and Oceanography, 2021
In geophysics, the direct application of covariance matrix dynamics described by the Kalman filter (KF) is limited by the high dimension of such problems. The parametric Kalman filter (PKF) is a recent alternative to the ensemble Kalman filter, where the
Olivier Pannekoucke
doaj   +1 more source

Linear covariance analysis for autonomous space rendezvous missions

, 2023
reservedThis thesis presents the development process of a mission analysis tool using Linear Covariance Analysis applied to space rendezvous missions. The work has been conducted in the company Thales Alenia Space.
BATTAGLIA, GIACOMO
core  

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source