Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Relationships between Musculoskeletal Disorders, Sleep Impairment, and Cardiorespiratory Fitness among Adolescents Aged 15-19 Years in Douala, Cameroon: A Cross-sectional Study. [PDF]
Ndongo JM +9 more
europepmc +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
A Revised Classification Framework for Studies in Systematic Reviews: Prioritizing Outcome Data Availability Over Study Status. [PDF]
Pacheco RL, Riera R.
europepmc +1 more source
Building science and subjectivity from flesh. Towards a reconceptualization of neurophenomenology as a contribution to interdisciplinary health research. [PDF]
Wiltsche HA, Zeiler K.
europepmc +1 more source
Sleep Hygiene in Pediatric Patients with Steatotic Liver Disease [PDF]
Finsterer J.
europepmc +1 more source
Australia's Three System Approach to Mammographic Image Quality Assessment. [PDF]
Bentley-Spuur K, Chau MT.
europepmc +1 more source
Painful subjects: the sociogenic processing of pain in individuals with Ehlers-Danlos syndromes. [PDF]
Doyle TA, Vershaw SL, Halverson CME.
europepmc +1 more source

