Results 141 to 150 of about 13,364 (264)

Health Care Use Among Patients Presenting to Emergency Department for Gout Flares in Ontario, Canada: A Population‐Based Health Systems Analysis

Arthritis Care &Research, EarlyView.
Objective We characterized emergency department (ED) gout visits and identified patient characteristics and health services patterns contributing to ED presentations. Methods We conducted a population‐based study of ED gout visits in Ontario, Canada, between 2014 and 2023.
Timothy S. H. Kwok, Samantha Morais, William K. Silverstein, Clare L. Atzema, Gregory Choy, Priyanka Chandratre, Ping Li, Jessica Widdifield   +7 more
wiley   +1 more source

Arctic Sea Ice Melting Controls Sea Spray Aerosol Production. [PDF]

Environ Sci Technol
Dall'Osto M, Park J, Lee Y, Jung J, Kim JH, Yang EJ, Beddows DCS, Harrison RM, Sellegri K, Skov H, Massling A, Yoon YJ.   +11 more
europepmc   +1 more source

Robust but weak winter atmospheric circulation response to future Arctic sea ice loss. [PDF]

Nat Commun, 2022
Smith DM, Eade R, Andrews MB, Ayres H, Clark A, Chripko S, Deser C, Dunstone NJ, García-Serrano J, Gastineau G, Graff LS, Hardiman SC, He B, Hermanson L, Jung T, Knight J, Levine X, Magnusdottir G, Manzini E, Matei D, Mori M, Msadek R, Ortega P, Peings Y, Scaife AA, Screen JA, Seabrook M, Semmler T, Sigmond M, Streffing J, Sun L, Walsh A.   +31 more
europepmc   +1 more source

Ice Thickness in the Arctic Sea

Ice Thickness in the Arctic Sea
[Abstract] The fact that the Arctic Sea is covered with ice has tremendous importance on the cooling of ocean and, therefore, on the environmental condition of the earth. The solar pond effect is one of the key mechanism of determining the ice thickness. Considerations based on dynamical system theory leads to an empirical method of determining factors
openaire  

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

Nitrogen fixation under declining Arctic sea ice. [PDF]

Commun Earth Environ
von Friesen LW, Farnelid H, von Appen WJ, Benavides M, Grosso O, Laber CP, Schüttler J, Sundbom M, Torres-Valdés S, Bertilsson S, Peeken I, Snoeijs-Leijonmalm P, Riemann L.   +12 more
europepmc   +1 more source

Influence of the recent winter Arctic sea ice loss in short-term simulations of a regional atmospheric model. [PDF]

Sci Rep, 2022
Cho H, Kug JS, Jun SY.
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Microbial succession and hydrocarbon-degrading potential in Arctic sea ice exposed to dispersed crude oil and chemical dispersant. [PDF]

FEMS Microbes
Nõlvak H, Dang NP, Truu M, Peeb A, Devarajan AK, Petrich C, O'Sadnick M, Tiirik K, Truu J.   +8 more
europepmc   +1 more source

Influence of Arctic sea-ice loss on the Greenland ice sheet climate. [PDF]

Clim Dyn, 2022
Sellevold R, Lenaerts JTM, Vizcaino M.
europepmc   +1 more source