Results 231 to 240 of about 342,980 (315)

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

Wandering starch - how plastid dynamics affect starch granule formation? [PDF]

New Phytol
Lloyd JR.
europepmc   +1 more source

Emergent Spin‐Glass Behavior in an Iron(II)‐Based Metal–Organic Framework Glass

Advanced Functional Materials, EarlyView.
A one‐pot, solvent‐free synthesis yields an Fe2+‐based metal‐organic framework (MOF) glass featuring a continuous random network structure. The material exhibits spin‐glass freezing at 14 K, driven by topological‐disorder and short‐range magnetic frustration, showcasing the potential of MOF glasses as a plattform for cooperative magnetic phenomena in ...
Chinmoy Das, Soma Salamon, Joachim Landers, Jan‐Benedikt Weiß, Wen‐Long Xue, Pascal Kolodzeiski, Roman Pallach, Heiko Wende, Sebastian Henke   +8 more
wiley   +1 more source

Concentrations of Heavy Metals in Processed Baby Foods and Infant Formulas Worldwide: A Scoping Review. [PDF]

Nutr Rev
Collado-López S, Rodríguez Hernández MF, Mariscal-Moreno RM, Téllez-Rojo MM, Betanzos-Robledo L, Reyes Luna M, Cantoral-Preciado A.   +6 more
europepmc   +1 more source

Understanding and Tuning Mobile Interfaces in Ferroelectric Hf0.5Zr0.5O2 Thin Films in Relation to Microstructure

Advanced Functional Materials, EarlyView.
Ferroelectricity in thin HfO2‐based films offers great possibilities for next‐generation neuromorphic memory devices. There, the response to subcoercive voltage signals is driven by the movement of mobile interfaces and their interaction with crystal defects – a yet rather unexplored aspect, which we shed light on and gain new insights into the complex
Maximilian T. Becker, Yoonsang Park, Kihong Kim, Ji Soo Kim, Nives Strkalj, Atif Jan, Giuliana Di Martino, Benson K. Tsai, Haiyan Wang, Ping Lu, Duk‐Hyun Choe, Judith L. MacManus‐Driscoll   +11 more
wiley   +1 more source

Characterisation and sustainability evaluation of cereals and pulses formal seed production systems in Cameroon. [PDF]

PLoS One
Fotso Ngangoua MH, Kouam EB.
europepmc   +1 more source

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source

Germination-Driven Modulation of Phenolic Compounds in Sorghum: Bioactivity and Gene Expression. [PDF]

Foods
Salato RE, Carvalho HJM, Melo JO, Schmiele M.   +3 more
europepmc   +1 more source

Digital Actuation Control of Soft Robotic Origami With Self‐Folding Liquid Crystal Elastomer Hinges

Advanced Functional Materials, EarlyView.
Self‐folding soft‐rigid hybrid robotic origami is enabled by liquid crystal elastomer actuators with embedded Joule heating and closed‐loop digital control. Digitally addressable hinges provide reversible and programmable transitions between distinct folded states while maintaining actuation performance at high cycle counts (over 1500).
David C. Bershadsky, Tuo Zhao, Glaucio H. Paulino, Emily C. Davidson   +3 more
wiley   +1 more source