Results 131 to 140 of about 204,570 (278)
Reconditioning your quantile function
Monte Carlo simulation is an important tool for modeling highly nonlinear systems (like particle colliders and cellular membranes), and random, floating-point numbers are their fuel. These random samples are frequently generated via the inversion method, which harnesses the mapping of the quantile function Q(u) (e.g.
openaire +2 more sources
This study presents a new sampling‐based model predictive control minimizing reverse Kullback‐Leibler divergence to quickly find a local optimum. In addition, a modified Nesterov's acceleration method is introduced for faster convergence. The method is effective for real‐time simulations and real‐world operability improvement on a force‐driven mobile ...
Taisuke Kobayashi, Kota Fukumoto
wiley +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Penalized function-on-function linear quantile regression
We introduce a novel function-on-function linear quantile regression model to characterize the entire conditional distribution of a functional response for a given functional predictor. Tensor cubic $B$-splines expansion is used to represent the regression parameter functions, where a derivative-free optimization algorithm is used to obtain the ...
Ufuk Beyaztas +2 more
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An 18‐month HFD successfully established a translational Macaca fascicularis model replicating key metabolic disorders (MASH, diabetes, cardiac hypertrophy). MASH was determined by liver biopsy histology, the presence steatosis, inflammatory infiltration, hepatocytic ballooning, and fibrosis were considered as MASH; diabetes was diagnosed according to ...
Hongyi Chen +12 more
wiley +1 more source
Returns to Scale of Production Function: Pooled, Within and Between Quantile Regression Approach [PDF]
Production function, Pooled, Between and Within Quantile Regression, Panel data, Production Economics, Research Methods/ Statistical Methods,
Mishra, Ashok K. +2 more
core +1 more source
Objective Assess the performance of serum phosphorylated tau 217 (p‐tau217) and neurofilament light chain (NfL) in predicting risk of cognitive impairment or phenoconversion to dementia in individuals with iRBD. Methods We measured serum p‐tau217 and NfL levels by electrochemiluminescence across 4 polysomnographically confirmed iRBD cohorts (n = 300 ...
Shijun Yan +7 more
wiley +1 more source
Accurate modeling of industrial and biomedical data is often challenging due to skewness, heavy tails, and complex variability, which traditional probability distributions fail to capture.
Mahmoud M. Abdelwahab +4 more
doaj +1 more source
Cladribine tablets are approved for relapsing multiple sclerosis, mediating their clinical effect by moderately depleting lymphocytes. In a prospective, monocentric study including 22 patients completing 2 annual cycles of cladribine, B‐ and T‐cell receptor repertoires and relapse activity were assessed at baseline and after 24 months. T‐cell clonality
Tilman Schneider‐Hohendorf +8 more
wiley +1 more source
Experimental methods for wind tunnel studies of seed dispersal by wind
Abstract The complexity and variability of natural environments make quantitative studies of seed wind dispersal challenging. Wind tunnel experiments offer a controlled alternative to investigate the mechanisms of seed wind dispersal. This review focuses on wind tunnels and the associated technologies used for studying seed wind dispersal, including ...
Liang Tian +5 more
wiley +1 more source

