Results 301 to 310 of about 320,658 (381)

Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth

open access: yesAdvanced Theory and Simulations, EarlyView.
A data‐driven framework combining Computational Fluid Dynamics (CFD) simulations and machine learning is proposed to model and optimize Czochralski crystal growth. Using different transfer learning strategies (Warm Start, Merged Training, and Hyperparameter Transfer) the study demonstrates improved predictions for Ge and GaAs growth from Si‐trained ...
Milena Petkovic   +3 more
wiley   +1 more source

Development and Validation of Machine Learning‐Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease

open access: yesAdvanced Science, EarlyView.
This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.
Lushan Xiao   +14 more
wiley   +1 more source

Interference Pattern Caused by Bilateral Bone Conduction Stimulation Impairs Sound Localization

open access: yesAdvanced Science, EarlyView.
This work explores how crosstalk‐induced wave interference affects bone conduction (BC) sound localization. Using a theoretical model, cadaveric vibrometry, and psychoacoustic tests, atypical BC lateralization patterns are revealed that contradict air conduction (AC) principles.
Liu‐Jie Ren   +7 more
wiley   +1 more source

Piezo1 Activation Improves NSCLC Liver Metastasis Immunotherapy by Overriding Matrix Stiffness‐Mediated Bimodal PD‐L1/CXCL10 Regulation

open access: yesAdvanced Science, EarlyView.
This study demonstrates that Piezo1 activation enhances FAK‐YAP‐mediated upregulation of PD‐L1 and CXCL10, thereby promoting an immunotherapy‐responsive tumor microenvironment in NSCLC. Cyclic stretch modulates the PD‐L1/CXCL10 response to ECM stiffness, reshaping their expression dynamics.
Tian Zhang   +11 more
wiley   +1 more source

Operando Characterization of Uranium Dendrite Growth in High‐Temperature Molten Salt Electrochemistry by Synchrotron X‐Ray Tomography and Diffraction

open access: yesAdvanced Science, EarlyView.
An operando methodology combining synchrotron X‐ray micro‐computed tomography (SR‐µCT) and high‐energy X‐ray diffraction (HEXRD) investigates uranium dendrite electrodeposition in LiCl‐KCl‐UCl3 molten salt. This enabled in‐situ visualization of dendrite growth and ion diffusion dynamics.
Kui Liu   +10 more
wiley   +1 more source

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