Do robots boost productivity? A quantitative meta‐study
ABSTRACT This meta‐study analyzes the productivity effects of industrial robots. More than 1800 estimates from 85 primary studies are collected. The meta‐analytic evidence suggests that robotization has so far provided, at best, a small boost to productivity. There is strong evidence of publication bias in the positive direction.
Florian Schneider
wiley +1 more source
Edge based distributed framework for real time hazard detection and road safety in smart transportation. [PDF]
Sahu D +8 more
europepmc +1 more source
Revisiting the Health Spending‐Growth Nexus
ABSTRACT The relationship between health spending and economic growth is shaped by multiple transmission channels, leading to inconsistencies in the empirical literature and a lack of definitive conclusions. To address this issue, we perform a meta‐analysis encompassing 522 estimates from 107 studies that examine the effect of health spending on ...
Andreas Sintos +2 more
wiley +1 more source
Mathematical Modeling of Amoxicillin Synthesis in Batch and Semi-Batch Reactor: Application of Bayesian Statistics and Genetic Algorithm. [PDF]
Formigosa LF +5 more
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
Steering semi-flexible molecular diffusion model for structure-based drug design with reinforcement learning. [PDF]
Zhang X +10 more
europepmc +1 more source
A perspective on automated rapid eye movement sleep assessment
Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley +1 more source
Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models
ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
wiley +1 more source
Bayesian inference of a spatially dependent semi-Markovian model with application to Madagascar Covid'19 data. [PDF]
Raherinirina A +3 more
europepmc +1 more source
Measure‐valued processes for energy markets
Abstract We introduce a framework that allows to employ (non‐negative) measure‐valued processes for energy market modeling, in particular for electricity and gas futures. Interpreting the process' spatial structure as time to maturity, we show how the Heath–Jarrow–Morton approach can be translated to this framework, thus guaranteeing arbitrage free ...
Christa Cuchiero +3 more
wiley +1 more source

