Results 141 to 150 of about 160,927 (252)

Leading a self-improving school system [PDF]

open access: yes, 2011
Hargreaves, David H
core  

The Effect of an Acute Bout of Self‐Selected Intensity Exercise on State Anxiety and Anxiety Sensitivity in Moderately Anxious Individuals

open access: yesJournal of the Royal Society of New Zealand, Volume 56, Issue 1, February 2026.
Exercise at a self‐selected intensity has been shown to reliably improve affect, but its effect on state anxiety has not been rigorously investigated. Further, the postulated role of anxiety sensitivity within the anxiolytic effect of exercise is not yet fully understood.
Madeleine Connor   +2 more
wiley   +1 more source

Anthropogenically Stimulated Carbonate Dissolution in the Global Shelf Seafloor Is Potentially an Important and Fast Climate Feedback

open access: yesAGU Advances, Volume 7, Issue 1, February 2026.
Abstract Carbonate mineral production and dissolution regulate atmospheric carbon dioxide (CO2) concentrations via modulation of the ocean alkalinity content. The anthropogenic rise in atmospheric CO2 reduces calcification rates and enhances calcium carbonate dissolution, which increases ocean alkalinity, counteracts acidification, and stimulates ocean
Sebastiaan J. van de Velde   +4 more
wiley   +1 more source

Event‐Type‐Based Multi‐Dimensional Diagnostics of Process Limitations in Hydrological Models

open access: yesWater Resources Research, Volume 62, Issue 2, February 2026.
Abstract Aggregated evaluation metrics and overlooked hydrological process variability in individual streamflow events hinder understanding of how well hydrological processes are encoded in models. This study introduces a novel event‐type‐based multi‐dimensional diagnostic framework to enhance model performance assessment and to identify process ...
Zhenyu Wang, Larisa Tarasova, Ralf Merz
wiley   +1 more source

Hargreaves, Tom (2011)

open access: yes, 2022
Mona Fischer, Anna Niesing
openaire   +1 more source

Physics‐Informed, Differentiable Hydrologic Models for Capturing Unseen Extreme Events

open access: yesWater Resources Research, Volume 62, Issue 2, February 2026.
Abstract Recently, a hybrid framework combining machine learning (ML) and process‐based equations, termed differentiable modeling, has shown comparable accuracy to pure ML models while offering enhanced interpretability and spatial generalizability. However, it remained unclear how well hybrid models generalize to extreme floods outside of the range of
Yalan Song   +9 more
wiley   +1 more source

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