Results 91 to 100 of about 4,661,211 (242)
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Matching‐gift programs institutionalize employee‐led CSR by amplifying employees' voluntary donations. Yet we know relatively little about what promotes the adoption of these decentralized forms of corporate social engagement. Drawing on upper echelons theory, this study argues that executives with STEM educational backgrounds tend to favor ...
Jungwon Min
wiley +1 more source
Epilepsia Open, EarlyView.Abstract Objective The integration of neurotechnology and artificial intelligence (AI) in epilepsy research has led to significant advancements in diagnosis, monitoring, and treatment. However, the impact of these innovations is often diminished by inadequate and inaccurate reporting, limiting their reproducibility and implementation.
Pedro F. Viana +6 more
wiley +1 more source
, 2011 This paper presents a cardinalized probability hypothesis density (CPHD) filter for extended targets that can result in multiple measurements at each scan.
Granström, Karl, +2 more
core +1 more source
Health and Economic Impacts of an Early Labor Induction Policy for High‐BMI Mothers
Health Economics, EarlyView.ABSTRACT We expand the literature on marginal returns to birth interventions by studying a common intervention: early induction of labor for a growing share of pregnancies, high‐Body Mass Index (BMI) women. We exploit Danish guidelines which recommend routine induction at 7 days after the expected due date instead of 10–13 days after for mothers with a
Louis Freget, Maria Koch Gregersen
wiley +1 more source
Journal of Aerospace Technology and ManagementGaussian mixture probability hypothesis density (GM-PHD) filtering often assumes a uniform distribution of clutter in the observation area. However, in practice, clutter is often unknown and non-uniform, necessitating accurate estimation of its ...
Lifan Sun, Wenhui Xue, Dan Gao
doaj
IEEE Access, 2018 In order to improve filtering accuracy and restrain the degradation of filtering performance caused by the heavy-tailed process and measurement noises in multi-target tracking, this paper proposes a robust Student's t mixture probability hypothesis ...
Zhuowei Liu +3 more
doaj +1 more source
Journal of Applied Toxicology, EarlyView.ABSTRACT Carcinogenicity evaluation is a critical component of chemical risk assessment, yet traditional in vivo testing remains time consuming, costly, and ethically challenging. Computational approaches based on machine learning offer promising alternatives, but the relative contributions of different molecular representation strategies for ...
Iuri Barbosa Pereira +2 more
wiley +1 more source
A quantitative mirror on the Euribor market using implied probability density functions [PDF]
This paper presents a set of probability density functions for Euribor outturns in three months’ time, estimated from the prices of options on Euribor futures.
Puigvert Gutiérrez, Josep Maria +1 more
core
Gaussian mixture probability hypothesis density filter against measurement origin uncertainty
, 2020 The Gaussian mixture probability hypothesis density (GM-PHD) filter is a promising solution to the multi-target tracking (MU) problem, which successfully integrates target detection, tracking, and identification.
Kwon, Cheolhyeon +2 more
core +1 more source
JCPP Advances, EarlyView.Abstract Background Low socioeconomic position (SEP) in childhood is robustly associated with adolescent mental health difficulties, yet this relationship is changing over time due to contextual and conceptual differences in these constructs. Consistent SEP and mental health data from different cohorts are required to understand changes over time ...
Caitlyn Rawers +3 more
wiley +1 more source