Will climate change really make us poorer?

By 2100, it predicted that if no action is taken to lower our fossil fuel use (a scenario called RCP8.5 by the UN’s ...
thorax.bmj

Development and validation of PRECISE-X model: predicting first severe exacerbation in COPD

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
Frontiers

Developing a generalized nonlinear mixed-effects biomass model at stand-level under different age conditions for Chinese fir based on LiDAR and ground survey data in southern China

Introduction: Chinese fir (Cunninghamia lanceolata) is a crucial afforestation and timber species in southern China. Accurate estimation of its stand biomass is vital for forest resource assessment, ...
IEEE

Total Least Squares Algorithm for Errors-in-Variables Systems: Iterative Algorithm or Two-Step Algorithm

Abstract: The total least squares (TLS) algorithm is a superior identification tool for low-order errors-in-variables (EIV) systems, where the estimate can be obtained by solving an eigenvector of the ...
Oak Ridge National Lab

A novel conditional generative model for efficient ensemble forecasts of state variables in large-scale geological carbon storage

Integrating monitoring data to efficiently update reservoir pressure and CO2 plume distribution forecasts presents a significant challenge in geological carbon storage (GCS) applications. Inverse ...
Oil

ML, hybrid risk models predict stuck pipe

Researchers at the University of Texas at Austin produced data-driven and hybrid data-physics based DIP models to analyze stuck pipe incidents at the Frontier Observatory for Research in Geothermal ...
BMJ

Characterising and differentiating cognitive and motor speed in older adults: structural equation modelling on a UK longitudinal birth cohort

Objectives Information processing speed (IPS) has been proposed to be a key component in healthy ageing and cognitive functioning. Yet, current studies lack a consistent definition and specific ...
Scientific Research Publishing

Pesaran, M. H., Schuermann, T., & Weiner, S. M. (2004). Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model.

ABSTRACT: The importance of energy for the growth and development of any country cannot be overemphasized considering the attendant effect of the inflow of foreign direct investment (FDI) into the ...