Applications of Machine Learning in the Research of Heavy Metal(loid)s-Related Risk: A Scoping Review of Methodology. [PDF]
Liu Z +8 more
europepmc +1 more source
Solvate ionic liquids lubrication reduced the coefficient of friction by ∼60% compared to dry sliding, reaching steady‐state values as low as 0.04–0.05. Corrosion weight‐loss measurements in 1 M HCl further demonstrated significant inhibition behavior, with only 100 ppm of [Li(G3)][TFSI] (∼68.5 μL/L) reducing corrosion‐product weight loss by 63 ...
Sameh Dabees +6 more
wiley +1 more source
FcγR-ACE2 cooperative antibody-dependent enhancement in human and veterinary coronaviruses: mechanistic insights, comparative immunology, and implications for nano-engineered immunomodulatory platforms. [PDF]
Neelakantan HJ.
europepmc +1 more source
This study explores the discrepancies between bulk mechanics and spatial mapping in a tissue‐mimetic hydrogel model. Microplastic particles create localized stiff mechanical microenvironments that are detectable by cellular‐scale nanoindentation but leave bulk properties unchanged as measured by rheology.
Ahron T. Verschleisser +3 more
wiley +1 more source
Quantum machine learning for predicting anastomotic leak: a clinical study. [PDF]
Novák V +4 more
europepmc +1 more source
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
Mechanisms and clinical research progress of IL-6-mediated crosstalk between the alveolar microenvironment and the immune system in patients with severe pneumonia undergoing mechanical ventilation. [PDF]
Xiao J, Xu L, Li Y, Tan K, Qi S.
europepmc +1 more source
This study examines Invar composites reinforced with titanium carbide (TiC) and titanium nitride (TiN) using laser powder bed fusion (LPBF). It presents the influence of reinforcements on microstructure, tensile properties, and thermal expansion. Results show that TiC effectively strengthens Invar while maintaining low thermal expansion, whereas TiN ...
Ayodeji Nathaniel Oyedeji +3 more
wiley +1 more source
Beyond predictive accuracy: A case for mechanism-informed, uncertainty-aware machine learning in food microbiology. [PDF]
Ezzaky Y, Yap EEL, Chen WN.
europepmc +1 more source

