ABSTRACT This paper reviews how large‐scale mobility data can enhance economic analyses, highlighting its contributions to understanding travel behavior, labor markets, social interactions, and health outcomes. We discuss its advantages over traditional mobility data sources, which include real‐time location information and fine spatial resolution ...
Cristina Connolly +3 more
wiley +1 more source
Global burden, inequality, and frontier gaps of autism spectrum disorder disability in adolescents and young adults, 1990-2021: a systematic analysis of the GBD 2021 study. [PDF]
Lin D +8 more
europepmc +1 more source
ABSTRACT There is an increased proportion of studies using quantile‐based regression methodology (QR) in economics. They offer a robust alternative to classical mean regressions, which can estimate non‐normal variables with distributional heterogeneity in the dependent variable.
Shajara Ul‐Durar +4 more
wiley +1 more source
Artificial Intelligence-Assisted Error Detection in Complex Clinical Documentation: Leveraging Large Language Models to Enhance Patient Safety in Oncology. [PDF]
May P +7 more
europepmc +1 more source
Artificial Intelligence as an Organizing Capability Arising from Human‐Algorithm Relations
Abstract In this article, we move beyond the prevailing view of artificial intelligence (AI) as an independent entity within organizations, which, we argue, risks obscuring potential explanations of the effects of AI on organizing. Drawing on posthumanism, we propose an ontological shift in conceptualizing AI.
Marta Stelmaszak +2 more
wiley +1 more source
Analysis of temporal and spatial changes in the global burden of hypertensive heart disease based on data from the Global Burden of Disease study database and future projections: 1990-2046. [PDF]
Gao G +5 more
europepmc +1 more source
Paying informally in the Albanian health care sector: a two-tiered stochastic frontier model. [PDF]
Tomini S, Groot W, Pavlova M.
europepmc +1 more source
From gateway to value ladder—The curious case of online mutual aid in China
Abstract This study examines how InsurTech‐enabled information provision, specifically the disclosure of claimant information previously unavailable in conventional insurance, influences individuals' insurance uptake. We leverage Mutual Aid (MA) platforms as a natural context to examine how socially framed loss information, peer influence, and salience
Ze Chen +3 more
wiley +1 more source
Why can't epidemiology be automated (yet)? [PDF]
Bann D +3 more
europepmc +1 more source
Adaptive Estimation for Weakly Dependent Functional Times Series
ABSTRACT We propose adaptive mean and autocovariance function estimators for stationary functional time series under 𝕃p−m‐approximability assumptions. These estimators are designed to adapt to the regularity of the curves and to accommodate both sparse and dense data designs.
Hassan Maissoro +2 more
wiley +1 more source

