Results 211 to 220 of about 171,199 (308)

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

Report from the WPA Section on Suicidology: recent advances and activities. [PDF]

World Psychiatry
Carli V, Sutori S, Iosue M.
europepmc   +1 more source

Statistical post‐processing of operational dual‐resolution wind‐speed ensemble forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The performance of raw and post‐processed 50‐member medium‐ and 100‐member extended‐range 10‐m wind‐speed forecasts of the European Centre for Medium‐Range Weather Forecasts and their various dual‐resolution combinations is investigated. Results show that post‐processing improves skill and reduces the differences between the various configurations ...
Sándor Baran, Mária Lakatos
wiley   +1 more source

Redesigning Nursing Curricula for Human-AI Collaboration Using a Fifth Industrial Revolution Framework: Discursive Paper. [PDF]

SAGE Open Nurs
Pepito JA, Babate FJ, Ismael JD, Al-Jumayile SSI, Siddique MKB.   +4 more
europepmc   +1 more source

In Vitro Reconstruction of Axonal Heat Sensing with a Photothermal Nerve‐on‐a‐Chip

Small, EarlyView.
A photothermal nerve‐on‐a‐chip platform is presented that enables precise, localized heating of sensory axons with simultaneous electrical recording. The system reveals millisecond‐scale dynamics of heat‐evoked neural activity and provides a new approach to study how temperature‐dependent ion channel behavior is translated into axonal firing.
Koji Sakai, Yujiro Tanaka, Riku Takahashi, Toichiro Goto, Yosuke Mizuno, Taiki Otomo, Aya Tanaka   +6 more
wiley   +1 more source

Biases in an artificial intelligence image-generator's depictions of healthy aging and Alzheimer's. [PDF]

J Am Med Inform Assoc
Osinga C, Jintaganon N, Steijger D, De Vugt M, Neal D.   +4 more
europepmc   +1 more source

Low‐Code and No‐Code Tools: A Valuable Aid or a Potential Threat to Professional Developers?

Software: Practice and Experience, EarlyView.
ABSTRACT Background The rapid adoption of low‐code (LC) and no‐code (NC) tools has transformed the software development landscape, offering faster development cycles and enabling non‐programmers to contribute to software creation. Objective This study systematically maps the effects of LC/NC tools on developers, addressing the critical need to ...
Saima Rafi, Muhammad Azeem Akbar, Sajjad Mahmood   +2 more
wiley   +1 more source

Trustworthy AI-Augmented Objective Structured Clinical Examinations in Nursing Education: Taiwan-Japan Viewpoint on 5 AI Roles, Governance, and Cross-Border Implementation. [PDF]

JMIR Form Res
Kubota K, Nishimura A, Seto R, Li L.
europepmc   +1 more source

Writing the ‘Great Proteus of Disease’: Influenza, Informatics, and the Body\ud in the Late Nineteenth Century [PDF]

, 2011
Mussell, James
core  

Is Reading an Upstream Predictor of Science and Mathematics Achievements in PISA? A Bayesian Network Analysis for Policy Educational Interventions on Socio‐Economic Dispersion and Gender Gaps

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This study investigates the structural relationships among reading, science and mathematics performance, socio‐economic dispersion (SES_Variance) and gender gaps using cross‐country PISA 2022 data. The primary objective is to assess whether reading functions as an upstream determinant of academic achievement and to evaluate the causal roles of
Simona‐Vasilica Oprea, Adela Bâra
wiley   +1 more source