Results 161 to 170 of about 587,514 (266)
Laser‐Induced Graphene from Waste Almond Shells
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
FARMERS' PREFERENCES FOR CROP CONTRACTS [PDF]
An empirical approach combining elements of principal-agent theory and transaction cost economics is used to determine farmers'Â’ preferences for contract terms in crop production.
Barry, Peter J. +3 more
core +1 more source
Supply chain stability: A study on the enabling effect of state-owned capital. [PDF]
Guan R, Zhang G, Han F, Chen X.
europepmc +1 more source
For the first time, a highly sensitive electrochemical biosensor based on SiO2‐based hairy particles with a grafted PDMAEMA polymer brush containing a quantifiable and large amount of immobilized Laccase is reported. The fabricated biosensor exhibits a sensitivity of 0.14 A·m⁻¹, a limit of detection (LOD) of 0.1 µm, and a detection range of 0.3–750 µm,
Pavel Milkin +7 more
wiley +1 more source
The determinants of evidence use by Australian clinical networks as agents and stewards of safety and quality: a conceptual framework. [PDF]
Hart J, Naccarella L, Dickinson H.
europepmc +1 more source
Electroactive Metal–Organic Frameworks for Electrocatalysis
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
Quantum Chemistry-Driven Molecular Inverse Design of Stable Isomers with Data-Free Reinforcement Learning. [PDF]
Calcagno F +5 more
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
Corporate Purpose and Democratic Theory: A Governance Trilemma. [PDF]
Claassen R.
europepmc +1 more source
Multiscale Structuring of Hydroxyapatite via Two‐Photon Lithography of Nanocomposites
Hydroxyapatite scaffolds are of great interest in bone tissue engineering applications, ranging from 3D cell culture to regenerative medicine. Using two‐photon lithography of a transparent nanocomposite, hydroxyapatite microstructures with features ranging from submicron to centimeter‐scale are fabricated. This allows to mimic the natural bone geometry,
Leonhard Hambitzer +6 more
wiley +1 more source

