Results 141 to 150 of about 62,712 (263)
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
Integrating molecular methods and biophysical modeling to assess functional connectivity between marine protected areas. [PDF]
Beng KC +19 more
europepmc +1 more source
This review summarizes recent advances in closed‐cell in situ TEM strategies for accurate determination of the activity and stability of single‐atom catalyst systems during operation. Operando conditions causing dynamic changes of SAC systems are highlighted and we explain why ensemble average‐based optical techniques may benefit from the technological
Martin Ek +4 more
wiley +1 more source
A framework to analyze biodiversity capacity at landscape level and identify areas of high ecological importance. [PDF]
Jonsson A +3 more
europepmc +1 more source
A hybrid anode composed of Cl‐functionalized curved nanographene and graphite enables ultra‐fast charging and long cycle life through an engineered morphology and sequential Li+ insertion. It delivers 100 mAh g−1 at 5 C with 70% capacity retention after 1000 cycles and maintains stable performance over 2000 cycles in pouch cells, providing a practical ...
Hyunji Cha +8 more
wiley +1 more source
Seed Dispersal as a Multiphase Process: Integrating Abiotic and Biotic Vectors Across Ecological Gradients. [PDF]
Rubalcava-Castillo FA +4 more
europepmc +1 more source
Small-scale dispersal of a biological control agent – Implications for more effective releases
Ashley B. C. Goode +6 more
openalex +2 more sources
Light‐Responsive Enzyme‐Loaded Nanoparticles for Tunable Adhesion and Mechanical Wound Contraction
This study presents a photoactivatable enzyme‐loaded mesoporous nanoparticle system (MPDA_PaTy) that enables light‐triggered tunable tissue adhesion and facilitates mechanical wound contraction. Controlled enzymatic crosslinking at tissue or hydrogel interfaces allows on‐demand adhesion.
Junghyeon Ko +10 more
wiley +1 more source

