Results 111 to 120 of about 503,210 (300)

Covariance Structure Modeling of Engineering Demand Parameters in Cloud‐Based Seismic Analysis

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Probabilistic seismic demand modeling aims to estimate structural demand as a function of ground motion intensity—a critical stage in seismic risk assessment. Although many models exist to describe the structural demand, few consider the covariance among engineering demand parameters, potentially overlooking a key factor in improving the ...
Archie Rudman, Enrico Tubaldi, Roberto Gentile, John Douglas   +3 more
wiley   +1 more source

Who Knows Best What the Next Year Will Hold for You? The Validity of Direct and Personality‐based Predictions of Future Life Experiences Across Different Perceivers

European Journal of Personality, EarlyView., 2020
Abstract This study explored the validity of person judgements by targets and their acquaintances (‘informants’) in longitudinally predicting a broad range of psychologically meaningful life experiences. Judgements were gathered from four sources (targets, N = 189; and three types of informants, N = 1352), and their relative predictive validity was ...
Nele M. Wessels, Johannes Zimmermann, Daniel Leising, Jan‐Erik Lönnqvist   +3 more
wiley   +1 more source

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

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

Assessment of Maladaptive Exercise History Among Individuals With Eating Disorders: Validation of a Brief, Self‐Report Measure

European Eating Disorders Review, EarlyView.
ABSTRACT Objective Maladaptive exercise is a common symptom of eating disorders (EDs). While several measures exist to assess current maladaptive exercise, there are no validated self‐report tools to assess maladaptive exercise history—an important symptom domain among individuals with lifetime EDs.
Katherine Schaumberg, Hunna J. Watson, Laura M. Thornton, Hannah L. Kennedy, Shu H. Ong, Preston Roche, Kayla Costello, Wesley R. Barnhart, Sian B. Pauley‐Gadd, Rachael E. Flatt, Andreas Birgegård, Lisa Dinkler, Afrouz Abbaspour, Emma Forsén Mantilla, Elin Monell, Emma M. Frans, Sarah Barakat, Michaela A. Pettie, Richard Parker, Sarah Maguire, Jennifer Jordan, Martin A. Kennedy, Nailah Adams Morancie, Cynthia M. Bulik   +23 more
wiley   +1 more source

The Stakes of Spinoza’s Language: A Moderate Necessitarian Understanding of \u27Ethics\u27 and Spinoza’s Conception of Freedom as Both Positive and Negative Liberty

, 2015
This paper explores different readings of Spinoza\u27s Ethics with a specific focus on Spinoza\u27s understanding of the relationship between infinite and finite modes in his constructed universe.
Horvath, Jeffrey J.
core  

Optimal algorithms for universal random number generation from finite memory sources

, 2014
We study random number generators (RNGs), both in the fixed to variable-length (FVR) and the variable to fixed-length (VFR) regimes, in a universal setting in which the input is a finite memory source of arbitrary order and unknown parameters, with ...
Seroussi, Gadiel, Weinberger, Marcelo J.
core   +1 more source

Stand Up, Speak Out: Stimulating Dissent in Social Justice Teacher Education

Future in Educational Research, EarlyView.
ABSTRACT Teacher education should not only prepare student teachers for their role in the existing educational system but also equip them to critically question and reform that system when confronted with injustice. We advocate for dissent in the future of teacher education.
Koen Hoondert, Milou Munsters, Karen van der Eng‐Özcan, Bjorn Wansink, Larike Bronkhorst   +4 more
wiley   +1 more source

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, EarlyView.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

Embracing Complexity in HRM Research: A Call for System and Process Perspectives

Human Resource Management, EarlyView.
ABSTRACT Human resource management (HRM) is inherently complex. It involves systems of principles, practices, and activities operating at individual, group, organizational, and macro levels, which are interlinked through complex processes. Yet, empirical research has not kept pace with this conceptual richness.
Rebecca Hewett, Madleen Meier‐Barthold
wiley   +1 more source