Results 201 to 210 of about 9,147,708 (269)
Multiscale Numerical Modelling and Structural Design of Bulk Heterojunction Nanocomposites for Organic Photovoltaics: From Molecular Interfaces to Device Optimization. [PDF]
Dong J, Guo Z, Hao W, Li H.
europepmc +1 more source
Charting Morphotoxicity With Complementary Embryo Models
Three human embryo models of the peri‐implantation stages are exposed to a library of compounds. The (toxic) effects of the compounds are analyzed through automated image analysis pipelines. By evaluating the differential responses of the embryo models, this study underscores the importance of testing complementary embryo models to achieve robust and ...
Dorian G. Luijkx +9 more
wiley +1 more source
Computation of simple invariant solutions in fluid turbulence with the aid of deep learning. [PDF]
Page J.
europepmc +1 more source
Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj +23 more
wiley +1 more source
Learning the reaction coordinate: collective variables from physical intuition to generative models.
Talmazan RA +5 more
europepmc +1 more source
Fractional-order analysis of a fear-induced ecoepidemiological predator-prey model with optimal control and bifurcation dynamics. [PDF]
Alomari FAH, Bahaa GM.
europepmc +1 more source
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz +9 more
wiley +1 more source
Identifying stochastic dynamics from non-sequential data (DyNoSeD). [PDF]
Lu Z, Kuśmierz Ł, Mihalas S.
europepmc +1 more source
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source

