Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma +5 more
wiley +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Site-Specific Assessment of Statistical Process Control to Set Tolerance and Action Limits for Patient-Specific Quality Assurance in RapidArc Treatment Delivery. [PDF]
Manna S, Singh BK, Das KJM.
europepmc +1 more source
Mineralized Cryogel/Hydrogel Constructs to Recapitulate Early Breast Cancer Bone Metastasis In Vitro
A new biphasic in vitro cryogel/hydrogel model of early breast cancer bone metastasis provides precise control over microenvironmental cues and microscopic access to the spatiotemporal cancer cell distribution. Deposited bone‐like mineral is observed to strongly impede the effects of biomolecular signals, as evidenced by both colonization profiles and ...
Jana Sievers‐Liebschner +8 more
wiley +1 more source
Multimodal Cross‐Attentive Graph‐Based Framework for Predicting In Vivo Endocrine Disruptors
A multimodal cross‐attentive graph neural network integrates molecular graphs with androgen and estrogen adverse outcome pathway (AOP)–anchored in vitro assay signals to predict in vivo endocrine disruption. By fusing information on Tier‐1 AOP logits with chemical structures, the framework achieves high accuracy and provides assay‐traceable ...
Eder Soares de Almeida Santos +6 more
wiley +1 more source
Learnable Diffusion Framework for Mouse V1 Neural Decoding
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng +2 more
wiley +1 more source
Evaporation‐Driven Solutal Marangoni Control of Rayleigh–Taylor Instability in Inverted Films
Inverted liquid films, like paint on a ceiling, are inherently unstable under gravity. This work shows that selective evaporation in volatile binary mixtures generates solutal Marangoni stresses that either suppress or amplify the Rayleigh Taylor instability.
Minwoo Choi, Hyejoon Jun, Hyoungsoo Kim
wiley +1 more source
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang +12 more
wiley +1 more source
Multiscale study of memory type simple ratio estimators in two stage sampling under exponentially weighted moving averages. [PDF]
Minhas KS, Semary HE, Jabeen R, Zaka A.
europepmc +1 more source
Growth‐Like Swelling of 2D Precursors for Efficient Fabrication of Complex 3D Microstructures
The growth‐like swelling process fills photocured polymers into the elastomeric microstructures, inducing a significant swelling deformation of microstructures that can be maintained in the absence of solvents. The growth‐like swelling process breaks through the dependence of swelling deformation on the solvents, thereby expanding the application of 3D
Xinkai Zhu +13 more
wiley +1 more source

