Results 71 to 80 of about 1,410,346 (140)

Sensitivity of Large‐Scale Hydrological Predictions to Precipitation Phase Partitioning Methods Under a Changing Climate

Hydrological Processes, Volume 40, Issue 7, July 2026.
Future warming shifts precipitation from snow to rain across the Saskatchewan River Basin, reducing snow water equivalent and advancing snowmelt timing. Differences among precipitation phase‐partitioning methods propagate from snowpack accumulation to runoff magnitude and timing, producing earlier spring flows and higher peak discharge.
Fuad Yassin, John W. Pomeroy, Alain Pietroniro, Bruce Davison, Mohamed Elshamy, Zelalem Tesemma   +5 more
wiley   +1 more source

Activation parenting in mothers and fathers: A systematic review and meta‐analysis

Infant Mental Health Journal: Infancy and Early Childhood, Volume 47, Issue 4, July 2026.
Abstract Evolutionary‐based theories of parenting, such as activation relationship theory, suggest that fathers may be more likely than mothers to engage in activation parenting, that is, interactions designed to stimulate and challenge children within acceptable limits.
Dominic Laquerre, Amélie Gagné, Laurence Beaulieu, Mahée Gariépy, Julia Feldman, Jean‐François Bureau, Audrey‐Ann Deneault   +6 more
wiley   +1 more source

Is the Scholarly System Breaking Down?

Learned Publishing, Volume 39, Issue 3, July 2026.
ABSTRACT On the back of countless warnings that the scholarly system is seriously being threatened, indeed, upended by fraud, fakery and numerous bad practices, we set out to establish the extent to which this is true by asking the people who are, arguably, in the best position to know—early career researchers (ECRs).
David Nicholas, Eti Herman, John Akeroyd, Abdullah Abrizah, Marzena Swigon, Jorge Revez, Blanca Rodríguez‐Bravo, Tatyana Polezhaeva   +7 more
wiley   +1 more source

Do Early Career Researchers Consider AI as an Opportunity or a Threat? A Pathfinding Study

Learned Publishing, Volume 39, Issue 3, July 2026.
ABSTRACT The article presents the latest (2025) iteration of the Harbingers longitudinal project on early career researchers (ECRs), artificial intelligence (AI) and scholarly communications. In conversation with a purposive and diverse sample of more than 60 ECRs in six countries and numerous subjects, we present an evaluation of a pressing issue ...
David Nicholas, David Clark, Abdullah Abrizah, John Akeroyd, Eti Herman, Jorge Revez, Blanca Rodríguez‐Bravo, Marzena Swigon, Tatyana Polezhaeva, Anne Gere   +9 more
wiley   +1 more source

Physiological Interpretation of the Lactate to Pyruvate AUC Ratio for Hyperpolarized [1‐13C]‐Pyruvate Studies

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 247-258, July 2026.
ABSTRACT Purpose To explore the relationship between potentially rate‐limiting steps in lactate production and the lactate area‐under‐the‐curve (AUC) to pyruvate AUC ratio for analysis of hyperpolarized (HP) [1‐13C]‐pyruvate data. Theory and Methods Simplifying assumptions are introduced to a pharmacokinetic (PK) model with three physical compartments ...
Ryan T. Boyce, Collin J. Harlan, Qing Wang, Christopher M. Walker, Stephen Y. Lai, Matthew E. Merritt, James A. Bankson   +6 more
wiley   +1 more source

Retrieving Hourly Aerosol Absorption From Space Using Physical Informed Deep Learning

Geophysical Research Letters, Volume 53, Issue 12, 28 June 2026.
Abstract Retrieving aerosol absorption properties, such as single scattering albedo (SSA) and absorption aerosol optical depth (AAOD) from single‐view satellite observations remains a significant challenge. This study introduces the Physics‐Informed Neural Network for Aerosols (PINA) framework to retrieve hourly aerosol absorption properties from ...
Tao Xia, Wenfang Liang, Fangwen Bao, Xiaochuan Zhang   +3 more
wiley   +1 more source

Physics‐Informed Neural Networks for Modeling the Martian Induced Magnetosphere

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract Understanding the magnetic field environment around Mars and its response to upstream solar wind conditions provide key insights into the processes driving atmospheric ion escape. To date, global models of Martian induced magnetosphere have been exclusively physics‐based, relying on computationally intensive simulations. For the first time, we
Jiawei Gao, Chuanfei Dong, Chi Zhang, Yilan Qin, Simin Shekarpaz, Xinmin Li, Liang Wang, Hongyang Zhou, Abigail Tadlock   +8 more
wiley   +1 more source

Pendulums and Nonlinear Effects - Warning 4000 level physics [video]

, 2015
NPS PhysicsIn-class Physics DemonstrationsDr.
Naval Postgraduate School Physics
core  

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, Volume 2, Issue 3, June 2026.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

Advanced Intelligent Discovery, Volume 2, Issue 3, June 2026.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang, Min Zhu, Wei Xiong, Si‐Wei Liu, Lu Lu   +4 more
wiley   +1 more source