Results 51 to 60 of about 444,093 (258)
The Structural Extension Spine: Modelling the emergence of algebraic reasoning in early mathematics
Background: The transition from arithmetic to algebra remains a persistent challenge in early mathematics education. While structural awareness is widely recognised as foundational to this shift, the developmental mechanism through which learners come to
Jacques D. du Plessis
doaj +1 more source
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 +27 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
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 +3 more
wiley +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
SHrinkage Covariance Estimation Incorporating Prior Biological Knowledge with Applications to High-Dimensional Data [PDF]
In ``-omic data'' analysis, information on the structure of covariates are broadly available either from public databases describing gene regulation processes and functional groups such as the Kyoto encyclopedia of genes and genomes (KEGG), or from ...
Tenenhaus, Arthur +3 more
core +1 more source
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
One of the major challenges in optical-based remote sensing is the presence of clouds, which imposes a hard constraint on the use of multispectral or hyperspectral satellite imagery for earth observation. While some studies have used interpolation models
Yoseline Angel +2 more
doaj +1 more source
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz +4 more
wiley +1 more source
Operando Tracking of Oxygen‐Vacancy Dynamics and Negative Capacitance in Ca‐Doped BiFeO3
Operando electrochemical impedance spectroscopy, combined with electrocoloration, enables a direct correlation between real‐space ionic redistribution and the corresponding frequency‐domain electrical response. In lateral Ca‐doped BiFeO3 devices, time‐resolved impedance snapshots capture the evolution from bulk‐dominated mixed conduction to an ...
Jeonghun Suh +3 more
wiley +1 more source

