Results 81 to 90 of about 53,268 (175)

Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology

open access: yesJournal of Microscopy, Volume 301, Issue 2, Page 280-329, February 2026.
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz   +4 more
wiley   +1 more source

Models in Decision‐Making Under Risk and Uncertainty

open access: yesJournal of Economic Surveys, Volume 40, Issue 1, Page 304-320, February 2026.
ABSTRACT This paper systematically compares dominant frameworks for modeling decision‐making under risk and uncertainty, evaluating their theoretical trade‐offs and practical relevance for economic research. We establish key criteria for model selection—including predictive accuracy, descriptive realism, computational tractability, and ecological ...
Martin Höppner
wiley   +1 more source

Looking Back to 1991 Economic Forecasting: Introducing Cointegration

open access: yesOxford Bulletin of Economics and Statistics, Volume 88, Issue 1, Page 1-21, February 2026.
ABSTRACT Originally written in 1991 to advance the formal analysis of macroeconomic forecasting models and methods following the development of cointegration, alternative forecasting devices, conditional and unconditional forecasts, and data accuracy are considered.
David F. Hendry
wiley   +1 more source

Large N Duality, Lagrangian Cycles, and Algebraic Knots

open access: yesCommunications in Mathematical Physics, 2012
Duiliu-Emanuel Diaconescu   +2 more
semanticscholar   +1 more source

Exploring the integration of artificial intelligence in math education: Preservice Teachers’ experiences and reflections on problem‐posing activities with ChatGPT

open access: yesSchool Science and Mathematics, Volume 126, Issue 1, Page 9-23, February 2026.
Abstract This study addresses the need for research that incorporates educational perspectives and theories to understand the impact of Artificial Intelligence (AI) on learning and teaching. Utilizing AI‐integrated mathematical problem‐posing (AIM) activities and the AI‐powered scaffolding (AIS) strategy, the research investigated preservice teachers’ (
Young Rae Kim, Mi Sun Park, Eunmi Joung
wiley   +1 more source

Home - About - Disclaimer - Privacy