Results 51 to 60 of about 44,314 (171)
Abstract This study investigates the role of locality (a task/material‐related variable), demographic factors (age, education, and sex), cognitive capacities (verbal working memory [WM], verbal short‐term memory [STM], speed of processing [SOP], and inhibition), and morphosyntactic category (time reference and grammatical aspect) in verb‐related ...
Marielena Soilemezidi +3 more
wiley +1 more source
On computing local monodromy and the numerical local irreducible decomposition
Abstract Similarly to the global case, the local structure of a holomorphic subvariety at a given point is described by its local irreducible decomposition. Geometrically, the key requirement for obtaining a local irreducible decomposition is to compute the local monodromy action of a generic linear projection at the given point, which is always well ...
Parker B. Edwards +1 more
wiley +1 more source
Rational points on even‐dimensional Fermat cubics
Abstract We show that even‐dimensional Fermat cubic hypersurfaces are rational over any field of characteristic not equal to three, by constructing explicit rational parameterizations with polynomials of low degree. As a byproduct of our rationality constructions, we obtain estimates for the number of their rational points over a number field and ...
Alex Massarenti
wiley +1 more source
Abstract This paper presents a two‐stage model for planning a renewable energy portfolio by balancing economic, social and environmental sustainability goals. The first stage addresses a multi‐objective problem where conflictive impacts generated by the energy portfolios should be optimised according to the corresponding economic, social or ...
Amelia Bilbao‐Terol +2 more
wiley +1 more source
Inter‐Model Feature Fusion for Robust Low‐Resource Speech Recognition
Our Self‐Supervised Feature Fusion (SSF‐FT) method enhances low‐resource speech recognition by adaptively combining features from self‐supervised models trained with Contrastive, Predictive, and Reconstruction objectives. This attention‐weighted ensemble delivers robust performance, particularly in acoustically challenging conditions, extending current
Ussen Kimanuka +2 more
wiley +1 more source
Causal Effect Estimation With TMLE: Handling Missing Data and Near Violations of Positivity
ABSTRACT We evaluate the performance of targeted maximum likelihood estimation (TMLE) for estimating the average treatment effect in missing data scenarios under varying levels of positivity violations. We employ model‐ and design‐based simulations, with the latter using undersmoothed highly adaptive lasso on the “WASH Benefits Bangladesh” data set to ...
Christoph Wiederkehr +2 more
wiley +1 more source
ABSTRACT Purpose Oscillating‐gradient spin‐echo (OGSE) diffusion MRI probes cell geometry and membrane integrity through the frequency‐dependence of kurtosis, but prior studies have reported inconsistent findings depending on how frequency is varied. We compared frequency‐dependent kurtosis in the human brain under two regimes: varying frequency with ...
Dongsuk Sung +8 more
wiley +1 more source
The Gender Gap in Financial Literacy—The Role of Response Behavior
ABSTRACT The gender gap in financial literacy favoring men is a well‐documented phenomenon. Research reveals that women more frequently opt for the “do not know” (DK) response option than men. As the gender gap in financial literacy is evident at a young age and should be counteracted early, we focus on a sample of German adolescents (N = 1958) and ...
Lucy Haag, Luis Oberrauch, Taiga Brahm
wiley +1 more source
Implicit motives and conflict intensity: A meta‐analysis of the roles of power and affiliation
Abstract Implicit motives are theorized to play important roles in driving conflicts toward high‐intensity outcomes like war or low‐intensity outcomes like peaceful resolution. While the link between power motivation and higher conflict intensity is empirically supported, the link between affiliation motivation and lower conflict intensity has been ...
Kate Y. Huang, Joyce S. Pang
wiley +1 more source
Agro‐Leadership Model in the Aquaculture Sector in Mexico
ABSTRACT This research aims to analyze leadership for innovation in the Mexican aquaculture sector. The main characteristics of aquaculture producers in the Mezquital Valley of Hidalgo State have been identified and grouped according to an Agro‐leadership profile. The methodological strategy uses machine learning techniques. The data were obtained from
Antonia Terán‐Bustamante +2 more
wiley +1 more source

