Results 241 to 250 of about 1,559,015 (310)

Application of machine learning to nanomaterial design with silver nanoprisms. [PDF]

Discov Nano
Richard C, Pichon PA, Nováková J, Najafabadi NI, Sá J.   +4 more
europepmc   +1 more source

Seed book seeds : 1925 /

, 1925
openaire   +2 more sources

Substrate Stress Relaxation Regulates Cell‐Mediated Assembly of Extracellular Matrix

Advanced Functional Materials, EarlyView.
Silicone‐based viscoelastic substrates with tunable stress relaxation reveal how matrix mechanics regulates cellular mechanosensing and cell‐mediated matrix remodelling in the stiff regime. High stress relaxation promotes assembly of fibronectin fibril‐like structures, increased nuclear localization of YAP and formation of β1 integrin‐enriched ...
Jonah L. Voigt, Jens Timmer, Elisabetta Ada Cavalcanti‐Adam   +2 more
wiley   +1 more source

Microporous Microgel Assemblies Facilitating the Recruitment and Osteogenic Differentiation of Progenitor Cells for Bone Regeneration

Advanced Functional Materials, EarlyView.
There is a significant need for biomaterials with well‐defined stability and bioactivity to support tissue regeneration. In this study, we developed a tunable microgel platform that enables the decoupling of stiffness from porosity, thereby promoting bone regeneration.
Silvia Pravato, Haishuo Guan, Bianca M. Carrara, Mira Jacobs, Matteo Monticelli, Lukas Moser, Thomas Moragues, Andrew J. deMello, Tomaso Zambelli, Martin Ehrbar   +9 more
wiley   +1 more source

Seed endophytic bacteria are involved in metal adaptation of Orobanche lutea: community dynamics and plant growth promotion traits. [PDF]

BMC Plant Biol
Petrosyan K, Thijs S, Krucon T, Piwowarczyk R, Wiśniewska K, Kaca W, Vangronsveld J.   +6 more
europepmc   +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

Ultrasound treatment enhances tomato drought resistance from germination to seedling stage. [PDF]

Front Plant Sci
Nogueira A, Teixeira A, Martins J, Gerós H, Puga H.   +4 more
europepmc   +1 more source

Seed priming approaches for climate-resilient agriculture. [PDF]

J Exp Bot
Gohari G, Spanos A, Ioannou A, Efstathiou I, Panahirad S, Kolbert Z, Fotopoulos V.   +6 more
europepmc   +1 more source

Silver Nanoparticle Priming Enhanced Seed Germination in <i>Bupleurum chinense</i> and Reshaped the Fungal Community Structure, Reducing the Robustness of the Fungal Interaction. [PDF]

Nanomaterials (Basel)
Duan S, Chen Y, Dong X.
europepmc   +1 more source