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
Actuating and Sensing Composites of Liquid Crystal Elastomers and Poly(ionic liquid)s
Ionic conductive, mechanically tough, flexible, and stretchable filaments of a composite material comprising a liquid crystal elastomer and a poly(ionic liquid) are produced through 3D printing, which exhibit large actuation strain under stimulation and electrical resistance variation in response to deformation or environmental condition changes. Their
Zeping Liu +6 more
wiley +1 more source
Physical Properties of Wood from Steamed Eucalyptus grandis Logs
This study aimed to evaluate the effect of log steaming on the physical properties of Eucalyptus grandis Hill ex Maiden wood. Logs with diameters between 20 and 25 cm and length of 2.9 m were studied.
Paula Lúcia Martins Rodrigues +4 more
doaj +1 more source
Bioprosthetic aortic valves have revolutionized the treatment of aortic stenosis, but their durability is limited by structural valve deterioration (SVD). This review focuses on the pericardial tissue at the heart of these valves, examining how its mechanical properties and calcification drive fatigue and failure.
Gabriele Greco +7 more
wiley +1 more source
Energy efficiency parametric design tool in the framework of holistic ship design optimization [PDF]
Recent International Maritime Organization (IMO) decisions with respect to measures to reduce the emissions from maritime greenhouse gases (GHGs) suggest that the collaboration of all major stakeholders of shipbuilding and ship operations is required to ...
A D Papanikolaou +20 more
core +1 more source
Parallel 3D Bioprinting on SLIPS‐Microarrays
This work introduces the first truly parallel 3D bioprinting method, enabling both the simultaneous fabrication of hundreds of cell laden hydrogel 3D structures and their HTS in individual liquid compartments. By integrating Digital Light Processing (DLP) stereolithography with functional micropatterns, the platform decouples printing time from array ...
Julius von Padberg +3 more
wiley +1 more source
Optimization of Dyeing Fixing Process on Silk Fabrics through DOE Analysis
The main aim of this work is to demonstrate the adequacy of Design of Experiments as a reliable tool in the process optimization of dyeing fixing by steaming of pre-printed silk fabrics.
Aurelio Tronci
doaj +1 more source
Steam turbine blade deposits; a report of an investigation conducted by the Engineering experiment station, University of Illinois, in cooperation with the Utilities research commission [PDF]
On cover: University of Illinois bulletin, v.43, no. 59.Bibliography: p.
Straub, Frederick Guy, 1896-
core
Dispensing Volumetric Additive Manufacturing
Dispensing volumetric additive manufacturing (DVAM) prints 3D structures inside a photocurable resin droplet suspended from the tip of a glass pipette, enabling sequential printing without resin vats or manual part removal. Real‐time droplet profiling and ray‐tracing‐based correction compensate for optical distortion at the curved resin‐air interface ...
Hongryung Jeon +5 more
wiley +1 more source
Engineering Strategies for Stable and Long‐Life Alkaline Zinc‐Based Flow Batteries
Alkaline zinc‐based flow batteries face persistent challenges from unstable zinc deposition, including dendrite growth, passivation, corrosion, and hydrogen evolution, which severely limit cycling stability. Current research addresses these issues through coordinated electrode structuring, electrolyte regulation, and membrane design to control zinc ...
Yuran Bai +6 more
wiley +1 more source

