Heat Exposure and the Risk of Emergency Hospitalization in Germany: Stratified Analyses by Age, Sex, and Diagnostic Group. [PDF]
Kriit HK +4 more
europepmc +1 more source
ABSTRACT The food industry is witnessing the emergence of specialized protein‐based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and cultivars, as well as variable processing conditions affect the protein's structural characteristics ...
Ronit Mandal +3 more
wiley +1 more source
Triglyceride glucose index and atherogenic index of plasma predict rapid kidney function decline in cardiovascular-kidney-metabolic syndrome: the first longitudinal evidence from CHARLS. [PDF]
Chen X +8 more
europepmc +1 more source
ABSTRACT Type 2 diabetes (T2D) is a progressive metabolic disorder that could be an underlying cause of long‐term complications that increase mortality. The assessment of the probability of such events could be essential for mortality risk management. This work aimed to establish a framework for risk predictions of macrovascular complications (MVC) and
Hanna Kunina +2 more
wiley +1 more source
The Complex Relationship Between Body Mass Index and Risk for Adverse Outcomes Following Pyrocarbon Metacarpophalangeal Arthroplasty for Rheumatoid Arthritis. [PDF]
Schluttenhofer A, Rizzo M.
europepmc +1 more source
This study presents improvements to the non‐hydrostatic version of the European Centre for Medium‐Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), enabling stable global simulations at 1.4‐km resolution. A systematic comparison with the hydrostatic version at resolutions from 9 to 1.4 km shows that non‐hydrostatic effects emerge in ...
Jozef Vivoda +3 more
wiley +1 more source
Modeling strategies for a flexible estimation of the crude cumulative incidence in the context of long follow-ups: model choice and predictive ability evaluation. [PDF]
Biganzoli G, Marano G, Boracchi P.
europepmc +1 more source
Polar‐low track prediction using machine‐learning methods
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang +4 more
wiley +1 more source
Brain responses vary in duration-modeling strategies and challenges. [PDF]
Skukies R, Schepers J, Ehinger B.
europepmc +1 more source
Experiences With a Last Meter Delivery Robot
ABSTRACT The steady growth of e‐commerce is a consolidated trend continuously increasing the number of parcels delivered worldwide. Conventionally, in logistics, last mile delivery has been the area of study covering the last step of a parcel delivery process: from the nearest distribution center to the customer.
Ricard Bitriá +3 more
wiley +1 more source

