Intraoperative Ultrasound Imaging Features Guiding Surgical Strategy in Spinal Cord Ependymoma Resection. [PDF]
Ramirez-Ferrer E +11 more
europepmc +1 more source
This study examines how pore shape and manufacturing‐induced deviations affect the mechanical properties of 3D‐printed lattice materials with constant porosity. Combining µ‐CT analysis, FEM, and compression testing, the authors show that structural imperfections reduce stiffness and strength, while bulk material inhomogeneities probably enhance ...
Oliver Walker +5 more
wiley +1 more source
A novel self excited hybrid brushless wound rotor synchronous machine with consequent poles. [PDF]
Ul Haq MA +4 more
europepmc +1 more source
Backbone Heterojunction Photocatalysts for Efficient Sacrificial Hydrogen Production
Herein, a ‘single‐component’ organic semiconductor photocatalyst is presented in which a molecular donor is bonded to a polymer acceptor. The resultant material demonstrates exceptional photocatalytic activity for hydrogen evolution in aqueous triethylamine with an outstanding external quantum efficiency of 38% at 420 nm.
Richard J. Lyons +11 more
wiley +1 more source
How Cytoskeletal Disorders Contribute to Errors in the Chromosomal Segregation of Oocytes and Cleavage Stage Embryos. [PDF]
Delimitreva S, Chakarova I.
europepmc +1 more source
A miniaturized mechano‐acoustic sensor is developed using an electrospun PVDF nanomesh as the diaphragm in a capacitive sensor structure. Unlike conventional nanomesh‐based sensors, it achieves high linear sensitivity, a broad and flat frequency response, and a compact form factor.
Jeng‐Hun Lee +8 more
wiley +1 more source
An Achiasmatic Mechanism That Ensures the Regular Segregation of Sex Chromosomes in Male Meiosis in the Black Spongilla-fly <i>Sisyra nigra</i> (Retzius 1738), Sisyridae, Differs from the Mechanism Commonly Observed Within Neuroptera. [PDF]
Nokkala S, Nokkala C.
europepmc +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
Annexin A2 and lamin B join membrane recycling compartments for the assembly of biomolecular condensates operating in mitotic partitioning. [PDF]
Grindheim AK +5 more
europepmc +1 more source

