Results 211 to 220 of about 169,266 (309)
Conditional UNet emulation of CMAQ simulations for fine particulate matter concentration prediction. [PDF]
Lee Y, Park J, Kim J, Woo JH, Lee JH.
europepmc +1 more source
This review integrates the molecular fundamentals, key challenges, and mitigation strategies in polyolefin 3D printing, focusing on shrinkage, warpage, and adhesion control. It highlights material design approaches using recycled polyolefins and functional fillers to improve printability, mechanical properties, and sustainability in additive ...
Malik Hassan +5 more
wiley +1 more source
Fine particulate matter exposure and risk of scooter collisions among older adults. [PDF]
Kao HM +11 more
europepmc +1 more source
Estimates of the 2016 global burden of kidney disease attributable to ambient fine particulate matter air pollution [PDF]
Al-Aly, Ziyad +5 more
core +1 more source
Life cycle assessment reveals that recyclable PPM coatings significantly reduce environmental impacts compared to epoxy, promoting sustainable aerospace corrosion protection. ABSTRACT This study evaluates the environmental performance of an innovative thermoplastic anticorrosion coating based on poly(phenylene methylene) (PPM) for aluminum alloy AA2024,
Marco Francesco D'Elia +4 more
wiley +1 more source
Combined and synergistic effects of heat and fine particulate matter on hospitalization among patients with Alzheimer's disease and related dementias. [PDF]
Spoto F +7 more
europepmc +1 more source
Fine particulate matter levels and HEPA filtration in Los Angeles homes during a wildland-urban-interface fire. [PDF]
Chen R +13 more
europepmc +1 more source
Asian elephants play crucial roles in ecosystem functioning, and their interactions with plants influence above‐ and belowground carbon cycling. We tested whether their mechanically destructive foraging triggers short‐term, stress‐induced shifts in tree root exudation, an underappreciated pathway linking herbivory to belowground carbon processes.
Pratibha Khatri +3 more
wiley +1 more source
Ischemic heart disease mortality due to fine particulate matter in Seoul between 2016 and 2020. [PDF]
Oh J, Park MS, Hong YC, AiMS-CREATE.
europepmc +1 more source
Machine learning‐based predictive models outperform traditional risk scores in hemodialysis patients with comorbid urolithiasis by capturing nonlinear, dialysis‐specific interactions. These approaches enable more accurate prediction of stone recurrence, sepsis, hospitalization, and mortality, supporting personalized risk stratification and precision ...
Dipal Chaulagain +4 more
wiley +1 more source

