Results 211 to 220 of about 407,221 (296)

Cracking the Code: Which Ocular Symptoms Predict Dry Eye Signs? Insights from a large international sicca registry

Arthritis Care &Research, Accepted Article.
Purpose The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögrens International Collaborative Clinical Alliance (SICCA) cohort. Methods Retrospective analysis examining 16 ocular symptoms (most graded 0‐4) and artificial tear (AT) use (graded 0‐3) as predictors of DED signs [abnormal ocular surface staining ...
Pragnya R Donthineni, Chloe Shields, Rohit Muralidhar, Shreya Bhatt, Alan Baer, Robert Fox, Sara S. McCoy, Anat Galor   +7 more
wiley   +1 more source

Associations of lifestyle‐related factors and psoriatic arthritis disease activity: the Dutch south west psoriatic arthritis study

Arthritis Care &Research, Accepted Article.
Objective This study aims to investigate lifestyle‐related factors in patients with psoriatic arthritis (PsA) and their association with disease activity measurements. Methods This multicenter cohort included 938 patients newly diagnosed with PsA, between 2013 and 2023. A composite lifestyle risk score (range 0 to 5) was calculated using five lifestyle‐
Batoul Hojeij, Ilja Tchetverikov, Marc R. Kok, Marijn Vis, Yvonne Goekoop‐Ruiterman, Jessica Bijsterbosch, Paul Baudoin, Reinhard Bos, Jos H. van der Kaap, Petra Kok, Lindy‐Anne Korswagen, Jolanda J. Luime   +11 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Innovative Processing of Compacted Waste Aluminum Alloy Powders via Controlled Remelting and Solidification

Advanced Engineering Materials, EarlyView.
This study demonstrates an efficient recycling route for out‐of‐spec AlSi10Mg atomized powders through compaction and arc remelting followed by suction casting. By correlating compaction load, cooling rate, and resulting microstructure, we show that intermediate pressures (50–80 kN) and rapid cooling refine dendrites, reduce porosity, and enhance ...
Mila Christy de Oliveira, Marcella Gaute Cavalcante Xavier, Abdoul‐Aziz Bogno, Piter Gargarella, José Eduardo Spinelli   +4 more
wiley   +1 more source

The NERD model: reflex circuit dysfunction as a systems-level driver of persistent post-concussion symptoms. [PDF]

Front Syst Neurosci
Antonucci MM, Jay K.
europepmc   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Construction of predictive models for contralateral occult thyroid carcinoma and central lymph node metastasis in unilateral papillary thyroid carcinoma using machine learning. [PDF]

Front Oncol
Zhao Y, Liu C.
europepmc   +1 more source

Influence of Sample Preparation and Processing Procedures on the Thermal Diffusivity of MgO‐C Refractories

Advanced Engineering Materials, EarlyView.
The thermal diffusivity of MgO‐C refractories is highly sensitive to sample preparation and processing procedures. In this article, the effects of coking sequence, machining conditions, structural inhomogeneity, and graphite coating application on measurements using laser flash apparatus are systematically investigated.
Luyao Pan, Rhena Wulf, Till M. J. Stadtmüller, Christos G. Aneziris, Tobias M. Fieback   +4 more
wiley   +1 more source

Cross-border logistics risk warning system based on federated learning. [PDF]

Sci Rep
Liang X.
europepmc   +1 more source