Results 111 to 120 of about 98,184 (227)

Computational Modeling of Sequential Dependencies in Mother–Child Social Interaction and Associations to Empathic Responses

open access: yesDevelopmental Science, Volume 29, Issue 4, July 2026.
ABSTRACT Understanding how early mother–child interactions are linked to children's social‐cognitive processes requires methods capable of capturing the temporal structure of naturalistic behavior. This study introduces a computational framework based on Bayesian Network modeling to identify sequential dependencies among nonverbal behaviors (smiles ...
Eleuda Nunez   +5 more
wiley   +1 more source

Random Diophantine equations in the primes

open access: yesMathematika, Volume 72, Issue 3, July 2026.
Abstract We consider equations of the form a1x1k+⋯+asxsk=0$a_{1}x_{1}^{k}+\cdots +a_{s}x_{s}^{k}=0$ where the variables xi$x_{i}$ are all taken to be primes. We define an analogue of the Hasse principle for solubility in the primes (which we call the prime Hasse principle), and prove that, whenever k⩾2$k\geqslant 2$, s⩾3k+2$s\geqslant 3k+2$, this holds
Philippa Holdridge
wiley   +1 more source

FENCE: Flexible Electric Noise Reduction Endo‐Shield for the Suppression of Electromagnetic Interference in Low‐Field MRI

open access: yesNMR in Biomedicine, Volume 39, Issue 6, June 2026.
Electromagnetic interference (EMI) is a significant challenge for low‐field MRI. Traditional EMI mitigation approaches either limit portability or demand advanced hardware. We present FENCE (Flexible Electromagnetic Noise reduCtion Endo‐shield), a novel approach for EMI mitigation using flexible PCBs placed inside the RF coil.
Julia Pfitzer   +2 more
wiley   +1 more source

Building a Digital Twin for Material Testing: Model Reduction and Data Assimilation

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT The rapid advancement of industrial technologies, data collection, and handling methods has paved the way for the widespread adoption of digital twins (DTs) in engineering, enabling seamless integration between physical systems and their virtual counterparts.
Rubén Aylwin   +5 more
wiley   +1 more source

Investigation of Solution Accuracy in PFEM Simulations Using Benchmark Problems

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT The simulation of large topological changes, such as those occurring in Cone Penetration Testing (CPT) and vibratory pile driving, remains a major challenge in computational geomechanics. Excessive mesh distortions render classical approaches like the Finite Element Method (FEM) unsuitable, emphasizing the need for alternative methodologies ...
Antaeus Bettmann   +4 more
wiley   +1 more source

Discrete limit theorems for general Dirichlet series. III

open access: yesOpen Mathematics, 2004
Laurinčikas A., Macaitienė R.
doaj   +1 more source

On the Performance and Convergence of PINNs for Problems in Linear Elasticity

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Physics‐informed neural networks (PINNs) have emerged as a promising approach for solving partial differential equations by embedding physical laws directly into the loss function. However, their performance characteristics for problems in computational mechanics remain insufficiently understood.
Dipraj Kadlag   +3 more
wiley   +1 more source

Numerical Modeling of the Thermo‐Mechanical and Electrical Behavior of a Sensor‐Integrating Jaw Coupling

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Industry 4.0 requires more and more data from the production process, for example, on transmitted forces, torques and wear, in order to reduce expensive downtimes and to increase productivity. Direct or indirect methods can be used to collect this data.
Johannes D.M. Menning   +5 more
wiley   +1 more source

On MAP Estimates and Source Conditions for Drift Identification in SDEs

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT We consider the inverse problem of identifying the drift in an stochastic differential equation (SDE) from n$n$ observations of its solution at M+1$M+1$ distinct time points. We derive a corresponding maximum a posteriori (MAP) estimate, we prove differentiability properties as well as a so‐called tangential cone condition for the forward ...
Daniel Tenbrinck   +3 more
wiley   +1 more source

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