Results 161 to 170 of about 895,253 (348)

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
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, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Terpentinöl [MAK Value Documentation in German Language, 1996] [PDF]

, 2012
Deutsche Forschungsgemeinschaft. Ständige Senatskommission zur Prüfung Gesundheitsschädlicher Arbeitsstoffe, Greim, Helmut   +1 more
openalex   +1 more source

A Bespoke Programmable Interpenetrating Elastomer Network Composite Laryngeal Stent for Expedited Paediatric Laryngotracheal Reconstruction

Advanced Functional Materials, EarlyView.
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, Lei Wu, Dong Zhang, Linxiao Wu, Graca Ferreira Vaz Pinto Mendes, Wanqiao J. Tu, Heping Ma, Toby J. Proctor, Colin R. Butler, Thomas Kjærgaard, Mark W. Lowdell, Martin A. Birchall, Robert E. Hynds, Richard Hewitt, Wenhui Song   +14 more
wiley   +1 more source

Paratecoma peroba (Record) Kuhlm. [MAK Value Documentation in German language, 1996] [PDF]

, 2012
Deutsche Forschungsgemeinschaft. Ständige Senatskommission zur Prüfung Gesundheitsschädlicher Arbeitsstoffe, Greim, Helmut   +1 more
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Review of Fieldworks Language Explorer (FLEx)

Language Documentation & Conservation, 2007
Lynnika Butler, Heather van Volkinburg
doaj   +1 more source

1,1‐Dichlorethan [MAK Value Documentation in German language, 1972] [PDF]

, 2012
Deutsche Forschungsgemeinschaft. Ständige Senatskommission zur Prüfung Gesundheitsschädlicher Arbeitsstoffe, Henschler, Dietrich   +1 more
openalex   +1 more source

Grain Boundary Space Charge Engineering of Solid Oxide Electrolytes: Model Thin Film Study

Advanced Functional Materials, EarlyView.
This study demonstrates unprecedented control of grain boundary electrical properties in solid electrolytes. Selective diffusion of cations through grain boundaries in thin films enables 12 orders of magnitude variation in ionic resistance, proving that systematic chemical modification of grain boundary electrical properties is feasible.
Thomas Defferriere, Yong Beom Kim, Colin Gilgenbach, James M. LeBeau, WooChul Jung, Harry L. Tuller   +5 more
wiley   +1 more source

1,3‐Bis(hydroxymethyl)‐harnstoff [MAK Value Documentation in German language, 1991] [PDF]

, 2012
Deutsche Forschungsgemeinschaft. Ständige Senatskommission zur Prüfung Gesundheitsschädlicher Arbeitsstoffe, Henschler, Dietrich   +1 more
openalex   +1 more source

Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions

Advanced Functional Materials, EarlyView.
Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley   +1 more source