Results 171 to 180 of about 53,984 (288)

A Machine Learning Approach to Predict Functional Performance From Measurable Protein Structural Characteristics: A Screening Tool for Protein Ingredient Quality

open access: yesProteins: Structure, Function, and Bioinformatics, EarlyView.
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

Modeling of Disease Progression of Type 2 Diabetes Using Real‐World Data: Quantifying Competing Risks of Morbidity and Mortality

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 606-615, March 2025.
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 non‐hydrostatic option of the ECMWF global weather forecast model: Improvements for kilometre‐scale modelling

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
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

Polar‐low track prediction using machine‐learning methods

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
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

Experiences With a Last Meter Delivery Robot

open access: yesJournal of Field Robotics, EarlyView.
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

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