Results 171 to 180 of about 36,146 (279)

From Open Banking Regulation to Platform Orchestration: The Evolution of Digital Platform Governance

open access: yesInformation Systems Journal, EarlyView.
ABSTRACT This study contributes to information systems (IS) scholarship by extending platform governance theory to regulatory contexts, explaining how regulatory forces co‐evolve with technological architectures to shape openness and control. This research examines the evolution of platform governance in the context of open banking, where regulatory ...
Priyadharshini Muthukannan   +3 more
wiley   +1 more source

Leveraging modified ex situ tomography data for segmentation of in situ synchrotron X‐ray computed tomography

open access: yesJournal of Microscopy, EarlyView.
Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester   +6 more
wiley   +1 more source

Concurrent Measurement of O2 Production and Isoprene Emission During Photosynthesis: Pros, Cons and Metabolic Implications of Responses to Light, CO2 and Temperature

open access: yesPlant, Cell &Environment, EarlyView.
ABSTRACT Traditional leaf gas exchange experiments have focused on net CO2 exchange (Anet). Here, using California poplar (Populus trichocarpa), we coupled measurements of net oxygen production (NOP), isoprene emissions and δ18O in O2 to traditional CO2/H2O gas exchange with chlorophyll fluorescence, and measured light, CO2 and temperature response ...
Kolby Jeremiah Jardine   +8 more
wiley   +1 more source

Learning hydrocracking reaction dynamics via neural ODEs: A data‐driven, gradient‐interpretable lumped modelling framework

open access: yesThe Canadian Journal of Chemical Engineering, Volume 104, Issue 3, Page 1372-1386, March 2026.
This work demonstrates the application of neural ordinary differential equations (neural ODEs) for learning hydrocracking reaction kinetics directly from data, achieving robust predictions under noise and sparsity while preserving mechanistic interpretability through gradient‐based analysis of temperature‐ and concentration‐dependent reaction rates ...
Souvik Ta   +2 more
wiley   +1 more source

Multiscale simulation of salt crystallization-induced damage in porous materials. [PDF]

open access: yesMater Struct
Lo Presti N   +5 more
europepmc   +1 more source

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