Carotenoid-derived bioactive metabolites shape plant root architecture to adapt to the rhizospheric environments. [PDF]
Ke D +7 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
Response of Southeast Asian rice root architecture and anatomy phenotypes to drought stress. [PDF]
Siangliw JL +8 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
<i>Streptomyces</i> Volatiles Alter Auxin/Cytokinin Signaling, Root Architecture, and Growth Rate in <i>Arabidopsis thaliana</i> via Signaling Through the <i>KISS ME DEADLY</i> Gene Family. [PDF]
Dotson BR +4 more
europepmc +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
Exploring the role of Peanut (Arachis hypogaea L.) root architecture in enhancing adaptation to climate change for sustainable agriculture and resilient crop production: A review. [PDF]
Gelaye Y, Li J, Luo H.
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
Indole-3-Butyric Acid (IBA) Derivatives for Root Architecture Modulation: Potent Promoters via <i>In Vivo</i> Conversion to IBA and Selective Inhibitors for Lateral Root Formation. [PDF]
Kikuchi R +7 more
europepmc +1 more source
A microphysiological lung fibrosis model recapitulates myofibroblast–vascular interactions. Induced myofibroblasts and patient‐derived IPF fibroblasts impair angiogenesis and increase vascular permeability via TGF‐β1–driven signaling. Pharmacological interventions with SB 431542 and VEGF supplementation restore vascular morphology and barrier function.
Elena Cambria +7 more
wiley +1 more source

