Results 101 to 110 of about 81,733,805 (232)
Refinements of Some New Inequalities for Differentiable Arithmetic – Harmonically Convex Functions
This study aims to derive improved forms of classical integral inequalities for differentiable functions possessing the property of arithmetic–harmonic convexity. To achieve this objective, a generalized version of Hölder’s integral inequality together with the Hölder–İşcan inequality is used to establish new inequalities for such functions.
Faiz Muhammad Hemat +2 more
openaire +1 more source
ABSTRACT This study investigates the relationship between gender diversity in senior corporate positions and environmental, social and governance (ESG) initiatives, alongside their impact on corporate financial performance across European Union companies.
Paolo Saona, Laura Muro
wiley +1 more source
Abstract Working memory updating is a crucial cognitive function for learning and academic achievement that develops significantly throughout childhood and adolescence. Despite the varieties of existing tasks to measure children's working memory updating, its overall developmental trajectory and task‐specific developmental patterns remain inadequately ...
Ye Song, Chen Cheng
wiley +1 more source
We prove the inequalities of the weighted Hermite–Hadamard type the and Hermite–Hadamard–Mercer type for an extremely rich class of geometrically arithmetically-h-convex functions (GA-h-CFs) via generalized Hadamard–Fractional integral operators (HFIOs).
Asfand Fahad +5 more
doaj +1 more source
Reliability measures in knowledge structure theory
Abstract In knowledge structure theory (KST) framework, this study evaluates the reliability of knowledge state estimation by introducing two key measures: the expected accuracy rate and the expected discrepancy. The accuracy rate quantifies the likelihood that the estimated knowledge state aligns with the true state, while the expected discrepancy ...
Debora de Chiusole +3 more
wiley +1 more source
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley +1 more source
Geometric standardized mean difference and its application to meta‐analysis
Abstract The standardized mean difference (SMD) is a widely used measure of effect size, particularly common in psychology, clinical trials and meta‐analysis involving continuous outcomes. Traditionally, under the equal variance assumption, the SMD is defined as the mean difference divided by a common standard deviation.
Jiandong Shi +4 more
wiley +1 more source
ABSTRACT International literature has consistently demonstrated that children in the foster care system (FCS) exhibit poorer academic outcomes: lower academic achievement, higher rates of school absenteeism and truancy, lower high school graduation rates and reduced postsecondary educational attainment.
Antonieta Candia‐Fonseca +2 more
wiley +1 more source
Strictly Conservative Neural Distance Fields
Abstract We propose a first method to generate neural unsigned or signed distance fields (SDFs) that are guaranteed to be conservative with respect to a given 3D shape. This means the true distance is never overestimated and the zero‐level set is a bounding volume for the shape. The method makes use of neural network architectures that ensure Lipschitz
I. Ludwig, M. Campen
wiley +1 more source
Bounds of Different Integral Operators in Tensorial Hilbert and Variable Exponent Function Spaces
In dynamical systems, Hilbert spaces provide a useful framework for analyzing and solving problems because they are able to handle infinitely dimensional spaces.
Waqar Afzal +2 more
doaj +1 more source

