Results 261 to 270 of about 113,243 (341)

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

Principles for ethical research in the Himalayas: Decolonising research ethics across the disciplines. [PDF]

Humanit Soc Sci Commun
Malik IH.
europepmc   +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

Held but not healed - Why coercive practices undermine mental health and wellness. [PDF]

PLOS Ment Health
Ferreira S.
europepmc   +1 more source

Sensitivity of Risk‐Based Demand Curves to Analytical Fragility Function Fitting Using Multiple‐Stripe Analyses

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Risk‐based seismic assessments using demand curves that provide mean annual exceedance rates for various system demand levels are increasingly being adopted. Such assessments combine the seismic hazard curve with fragility functions for each demand level, serving as a basis to quantify the average annual losses from system damage. Constructing
Zeyad Khalil, Peter J. Stafford, Ahmed Y. Elghazouli   +2 more
wiley   +1 more source

'It's like these scientists own the rains': indigenous knowledge, disaster warnings, and the politics of legitimacy in Malawi. [PDF]

Disasters
Kita SM.
europepmc   +1 more source

Epistemic Authority: What Ontology Leaves Unresolved

Tonetto, Bruno
openalex   +1 more source

Lived Experience Collaboration in Eating Disorders Research: Perspectives of Those With Lived Experience, Carers, Clinicians and Researchers

European Eating Disorders Review, EarlyView.
ABSTRACT Objective The importance of including people with a lived experience (LE) of eating disorders (ED) in the development and conduct of research is being recognised for the value it brings to the field. While the risks and benefits are beginning to be understood, there is still a lack of clarity around how to support LE partners through the ...
Erica Neill, Stephanie Miles, Rosiel Elwyn, Grace Fountas, Inge Gnatt, Zoe Jenkins, Amy Malcolm, Selma Music, Tamara Simpson, Caitlin Yolland, Andrea Phillipou   +10 more
wiley   +1 more source

AI for climate: from technological solutions to relational accountability. [PDF]

NPJ Clim Action
Stein S.
europepmc   +1 more source

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

Energy Science &Engineering, EarlyView.
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi, Benjamin A. Shimray, Ingudam Chitrasen Meitei, Khelchandra Thongam, Shuma Adhikari, Anuradha Laishram, Subir Datta, Ahmed Al Mansur, Taha Selim Ustun   +8 more
wiley   +1 more source