Results 171 to 180 of about 97,855 (331)

Shared Identity, Shared Experience, Social Mobilisation: A Social Identity Approach to Collective Action Among War‐Affected People

European Journal of Social Psychology, EarlyView.
ABSTRACT Crises have the potential to transform social identities and foster collective action, yet little is known about how new identities emerge and how a sense of shared experience (SSE) sustains mobilisation beyond immediate group contexts. The present research investigated these processes among 495 displaced Ukrainians with 107 participants ...
Magdalena Skrodzka, Elaine M. Smith, Aoife‐Marie Foran, Catriona Shelly, Kristine Brance, Orla T. Muldoon   +5 more
wiley   +1 more source

Investigating the predictive power of seismic statistical features using ensemble learning. [PDF]

PLoS One
Quan W, Gorse D.
europepmc   +1 more source

Structural Natural Frequency- Embedded Fourier Feature Physics-Informed Neural Networks for Earthquake Dynamic Response Prediction

Ke Du, Xu Wang, Zepeng Li, Huan Luo, Zifa Wang, Ruizhi Wen   +5 more
openalex   +1 more source

Study on Techniques of Earthquake Prediction

, 2011
Author G.Preethi, Author B.Santhi
openalex   +1 more source

The EU's Strategy for Sustainability: A Landmark Turn With the European Green Deal?

European Policy Analysis, EarlyView.
ABSTRACT While the European Green Deal (EGD) has been widely recognized as a milestone in the EU's sustainability strategy, scholars disagree on the nature of the policy change it represents. Critics highlight its limited social and environmental ambitions, despite its portrayal as a “man on the moon” moment.
Ekaterina Domorenok, Franco Gatti
wiley   +1 more source

Application of Commensurability in Earthquake Prediction

, 2015
Youjin Su, Hui Hu
openalex   +2 more sources

Quantifying Model Selection Uncertainty in Structural Analysis: Methodology and Application

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT With increasing focus on complex engineering systems under rare events, computational models are critical for predictions due to the scarcity or absence of data. However, selecting an appropriate model can be challenging. Using a single model without available test calibration could result in significant bias in performance predictions. A case
Ya‐Heng Yang, Tracy C. Becker
wiley   +1 more source

Physics-based earthquake early warning using distributed acoustic sensing. [PDF]

Sci Rep
Ben-Zeev S, Lior I.
europepmc   +1 more source

Current Efforts for Prediction and Assessment of Natural Disasters: Earthquakes, Tsunamis, Volcanic eruptions, Hurricanes, Tornados, and Floods [PDF]

, 2017
Juan P. Amézquita-Sánchez, Martin Valtierra‐Rodriguez, Hojjat Adeli   +2 more
openalex   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source