AURKB as a key driver of esophageal cancer progression: Molecular mechanisms and potential nursing implications based on multi-omics analysis. [PDF]
Qu X, Lu L, Dong X.
europepmc +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
A Meta-analysis to Identify Common Key Genes Across Ageing, Alzheimer's and Parkinson's Diseases. [PDF]
Chaurasiya M +3 more
europepmc +1 more source
Spark plasma sintering enables rapid processing of porous organic polymer (POP) from fine powders to a freestanding and mechanically robust monolith. The sintering process retains the CO2 adsorption capacity and CO2/N2 selectivity, making the monolith more suitable as a solid sorbent for practical carbon capture applications.
Duan Li +4 more
wiley +1 more source
A Centralized Survey Model for Clinician Engagement in Practice-Based Research Networks (PBRNs). [PDF]
Lewis W +6 more
europepmc +1 more source
Elucidating the mechanistic association of xylene inducing non-small cell lung cancer through network toxicology and molecular docking analysis. [PDF]
Chen H +6 more
europepmc +1 more source
Validating the architecture of cognitive distortions in Russian discourse using artificial intelligence and bootstrap analysis. [PDF]
Gajniyarov I.
europepmc +1 more source
Exploring the gut microbiota-microbial metabolites-targets regulatory network in metabolic dysfunction-associated steatotic liver disease. [PDF]
Yin D, Wu W, Wang X, He J, Zhu Y, Li J.
europepmc +1 more source

