Results 231 to 240 of about 121,868 (329)

Gradient-Free De Novo Learning. [PDF]

Entropy (Basel)
Friston K, Parr T, Heins C, Da Costa L, Salvatori T, Tschantz A, Koudahl M, Van de Maele T, Buckley C, Verbelen T.   +9 more
europepmc   +1 more source

A fractal pattern of hierarchical genetic population structure in mixed stocks across fish segregated by dams revealed by genomic resources for curimba Prochilodus lineatus

Journal of Fish Biology, EarlyView.
Abstract Genomic resources, new microsatellite markers and a novel observation of a fractal pattern in the genetic population structure are presented for curimba, Prochilodus lineatus, a freshwater migratory model species of South America. Our main goals were to investigate the presence of mixed fish stocks and the effects of damming‐induced ...
Gabriel M. Yazbeck, Gésica Aparecida Santana Nascimento, Leiliane Campos Carvalho, Raíssa Cristina Dias Graciano, Rosiane de Paula Santos, Rafael Sachetto Oliveira   +5 more
wiley   +1 more source

Mapping Five Years of #FOAMed: Trends, Engagement, and Shifting Topics on Twitter/X. [PDF]

West J Emerg Med
Günsoy E, Aykut A, Yildirim C, Öncül MV.   +3 more
europepmc   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, EarlyView.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +1 more source

Agents' Behavior and Interest Rate Model Optimization in DeFi Lending

Mathematical Finance, EarlyView.
ABSTRACT Contrasting sharply with traditional money, bond, and bond futures markets, where interest rates emerge organically from participant interactions, DeFi lending platforms employ rule‐based interest rates that are algorithmically set. Thus, the selection of an effective interest rate model (IRM) is paramount for the success of a lending protocol.
Charles Bertucci, Louis Bertucci, Mathis Gontier Delaunay, Olivier Guéant, Matthieu Lesbre   +4 more
wiley   +1 more source

Detection and classification of microplastics in green tea using SERS with gold nanoparticle substrates integrating chemometrics and deep learning. [PDF]

Curr Res Food Sci
Joshi R, Adhikari S, Lee D, Cho BK.
europepmc   +1 more source

The Racialisation of Rape: A Far‐Right Tool for Boundary‐Creation Across Borders

Nations and Nationalism, EarlyView.
ABSTRACT Far‐right parties and movements have increasingly come to incorporate ideas of gender equality into their political agendas. While seemingly out of concern for women's rights and safety, these issues are in reality seldom more than a veil to further the stigmatisation of Muslim men.
Mathilda Åkerlund
wiley   +1 more source

Movement patterns of youth and their parents: cross-sectional and longitudinal associations. [PDF]

J Act Sedentary Sleep Behav
Hänggi J, Lovison G, Jeong A, Dössegger A, Taube W, Kayser B, Suggs SL, Bringolf-Isler B, Probst-Hensch N.   +8 more
europepmc   +1 more source

A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance [PDF]

Joaquín Martínez‐Minaya, Håvard Rue
openalex   +1 more source

Digital Nationalism in Comparative Perspective: Trump Blaming China on Social Media in the United States and China

Nations and Nationalism, EarlyView.
ABSTRACT This study presents one of the first comparative analyses of digital nationalism on social media. Using a computational mixed‐method approach—combining supervised, computer‐assisted content analysis with network modelling—it analyses 64,541 tweets from Twitter and 91,063 posts from Weibo surrounding a shared geopolitical flashpoint: President ...
Chris Chao Su, Jun Liu
wiley   +1 more source