Results 181 to 190 of about 188,409 (303)
Implementation of Drug‐Induced Rhabdomyolysis and Acute Kidney Injury in Microphysiological System
A modular Muscle–Kidney proximal tubule‐on‐a‐chip integrates 3D skeletal muscle and renal proximal tubule tissues to model drug‐induced rhabdomyolysis and acute kidney injury. The coculture system enables dynamic tissue interaction, functional contraction monitoring, and quantification of nephrotoxicity, revealing drug side effect‐induced metabolic ...
Jaesang Kim +4 more
wiley +1 more source
Biochemical Analysis of Recombinant Pea Seed Coat-Specific Polyphenol Oxidase (<i>Pea</i>PPO) in Relation to Various Phenolic Substrates. [PDF]
Franková A +12 more
europepmc +1 more source
A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan +14 more
wiley +1 more source
Effects of Thickness of the Corn Seed Coat on the Strength of Processed Biological Materials. [PDF]
Gierz Ł +6 more
europepmc +1 more source
A multifunctional nanodiamond platform enables pH‐triggered Diazoxide (DZX) delivery and quantum sensing of subcellular radical dynamics in triple‐negative breast cancer cells. Diamond relaxometry revealed reduced lysosomal radicals during DZX‐induced mitochondrial radical elevation, providing insights into redox modulation and organelle‐ resolved ...
Kaiqui Wu +8 more
wiley +1 more source
Hormonal regulation and crosstalk during early endosperm and seed coat development. [PDF]
Pankaj R, Lima RB, Figueiredo DD.
europepmc +1 more source
Polymer coating of vegetable seeds
T. CHAUBEY, D.K. UPADHYAY, B. SINGH
openaire +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
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim +7 more
wiley +1 more source
A R2R3-MYB Transcription Factor of <i>GmMYB62</i> Regulates Seed-Coat Color and Seed Size in Arabidopsis. [PDF]
Zhao BY +11 more
europepmc +1 more source

