Results 221 to 230 of about 2,604,808 (287)
ABSTRACT This study presents a formal description and taxonomic appraisal of Cacatuocotyle adrianoi sp. n., a Neotropical parasite belonging to the family Dactylogyridae, integrating AI‐assisted morphometric analyses, molecular data, and phylogenetic reconstruction. Phylogenetic analyses recovered Cacatuocotyle adrianoi sp. n.
J. C. C. Aguiar +4 more
wiley +1 more source
A simple introduction to Markov Chain Monte-Carlo sampling. [PDF]
van Ravenzwaaij D, Cassey P, Brown SD.
europepmc +1 more source
JOINclusion: A serious mobile game for promoting ethnocultural empathy in schools
Abstract This study examines the efficacy of JOINclusion, a serious mobile game designed to enhance ethnocultural empathy in children aged 8 to 12. Grounded in the Social Emotional Learning (SEL) framework, JOINclusion delivers interactive scenarios through a narrative‐driven Story Mode and a collaborative Multiplayer Mode, encouraging emotional ...
Alessandra Colella +9 more
wiley +1 more source
Economic inequality and academic perseverance: Evidence from 73 countries
Abstract Background Academic perseverance is important for educational success, yet research has focused mainly on individual and proximal environmental factors, with limited attention to broader socioeconomic contexts. Aims This study examined whether national economic inequality was associated with students' academic perseverance and whether this ...
Yifan Wang, Yanru Liu, Dennis Alonzo
wiley +1 more source
Abstract Chronic stress, arising from prolonged exposure to unpredictable challenges, is common in everyday life and may alter cognitive processes. However, few human studies have empirically examined the association between chronic stress and reward learning, which is critical for navigating uncertain environments.
Lu Liu +7 more
wiley +1 more source
Bayesian Multiple Emitter Fitting using Reversible Jump Markov Chain Monte Carlo. [PDF]
Fazel M +8 more
europepmc +1 more source
A tutorial on Bayesian model averaging for exponential random graph models
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
wiley +1 more source
A Bayes factor framework for unified parameter estimation and hypothesis testing
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source

