Results 81 to 90 of about 386 (174)

An in silico comparison of a novel CORA‐based cranial closing wedge ostectomy methodology with three other techniques

open access: yesVeterinary Surgery, EarlyView.
Abstract Objective To describe a CORA‐based cranial closing wedge ostectomy methodology (CCWOCORA) and to determine whether the CCWOCORA achieves a more accurate and precise postoperative tibial plateau angle (TPAPOST) than three previously described methods. Study design In silico study. Sample population Thirteen client‐owned dogs.
William H. R. Petchell   +3 more
wiley   +1 more source

A Small Pathbreaking Spacecraft: Giants of Space Research (Bernard Blake, Dieter Hovestadt, and Edward Stone)

open access: yesPerspectives of Earth and Space Scientists, Volume 6, Issue 1, December 2025.
Abstract The Solar, Anomalous, and Magnetospheric Explorer (SAMPEX) mission launched in July 1992 was the first NASA “Small Explorer” project. It had the goal to show how space missions could be developed much more rapidly than had become the situation in the 1980s and 1990s.
D. N. Baker, G. M. Mason
wiley   +1 more source

Revisiting the Policy Implications of Implicit Social Cognition

open access: yesSocial Issues and Policy Review, Volume 19, Issue 1, December 2025.
ABSTRACT Research on implicit social cognition explores how associations outside of conscious awareness or control can influence beliefs and behaviors, and the field has been one of the most popular areas of psychological research over the past 30 years.
Jordan Axt   +3 more
wiley   +1 more source

Multidimensional Vulnerability Assessment for Floods: Evidence From Flood‐Prone Areas of Bangladesh

open access: yesJournal of Flood Risk Management, Volume 18, Issue 3, September 2025.
ABSTRACT Bangladesh is a flood‐prone country, yet studies on multidimensional vulnerability assessments related to floods remain limited. This study evaluates social, economic, physical, institutional, attitudinal, and gender vulnerabilities in Paschim Machimpur and Purba Machimpur, two rural flood‐prone areas in Sunamganj District.
Md Mostafizur Rahman   +6 more
wiley   +1 more source

An Interpretable Weather Forecasting Model With Separately‐Learned Dynamics and Physics Neural Networks

open access: yesGeophysical Research Letters, Volume 52, Issue 13, 16 July 2025.
Abstract Machine learning (ML) offers a promising alternative for weather forecasting by reducing computational costs and modeling complex non‐linear atmospheric processes. While recent foundation models highlight this potential with advanced architectures, interpreting the “black‐box” nature of ML models remains challenging.
Mengxuan Chen   +7 more
wiley   +1 more source

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