Results 151 to 160 of about 442,808 (293)

3D Printed Multimaterial Microfluidic Transistors

open access: yesAdvanced Materials Technologies, EarlyView.
We introduce a biocompatible, high resolution photopolymer resin that closely mimics the Young's Modulus (elasticity) and reversible stretchability (no hysteresis) of poly(dimethylsiloxane) (PDMS), enabling the fabrication of microfluidic transistors (i.e., microvalves capable of proportional amplification) by multimaterial stereolithography (mSLA ...
Alireza Ahmadianyazdi   +7 more
wiley   +1 more source

Learning the language of protein-protein interactions. [PDF]

open access: yesNat Commun
Ullanat V   +3 more
europepmc   +1 more source

3D Printing of Highly Dense and Translucent Zirconia Parts for Dental Applications: Effect of Filament Overlapping

open access: yesAdvanced Materials Technologies, EarlyView.
This study formulated a 5Y‐PSZ zirconia paste for extrusion‐based additive manufacturing via direct ink writing, producing dense ceramic structures for dental applications. A colloidal approach with 47 vol% nanometric powder and tailored additives optimized rheology and printability.
Juliana de Freitas Gouveia Silva   +5 more
wiley   +1 more source

High‐Throughput 3D Matrigel‐based Droplet Microfluidics for Single‐Cell Function‐to‐Omics Analysis of Cytotoxic Immune Cells in Solid Tumor Interactions

open access: yesAdvanced Materials Technologies, EarlyView.
A 3D Matrigel‐based droplet microfluidics platform that allows physiologically relevant analysis of single immune‐tumor interactions in solid tumors. By integrating real‐time functional imaging with fluorescence‐activated droplet sorting and RNA sequencing, the system links immune cytotoxic behavior to transcriptomic profiles, providing a scalable ...
Christina Sharkey   +6 more
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

Phytogenic modulation of broiler physiology: Effects of tulsi, moringa, mint, and thankuni on growth, meat quality, blood chemistry, and gut microbiota. [PDF]

open access: yesPoult Sci
Khatun A   +10 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy