Results 131 to 140 of about 833,220 (275)
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
GRAPH DATABASES AND GRAPH VIZUALIZATION
The thesis presents graph databases. Graph databases are a part of NoSQL databases, which is why this thesis presents basics of NoSQL databases as well. We have focused on advantages of graph databases compared to rela- tional databases. We have used one of native graph databases (Neo4j), to present more detailed processing of graph databases.
openaire +1 more source
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
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 +2 more
wiley +1 more source
Applying graph database technology for analyzing perturbed co-expression networks in cancer. [PDF]
Simpson CM, Gnad F.
europepmc +1 more source
Infrared Nanocrystals for Space Application: Hardness to Irradiations
This article investigates infrared HgTe nanocrystals under X‐ray and ion irradiation, revealing remarkable radiation hardness. It uncovers distinct degradation mechanisms and shows that the nanomaterial outperforms integrated electronics. The results position colloidal nanocrystals as promising candidates for resilient space and harsh‐environment ...
Alexandre Neyret +22 more
wiley +1 more source
Amyloidogenic Peptide Fragments Designed From Bacterial Collagen‐like Proteins Form Hydrogel
This study identified amyloidogenic sequence motifs in bacterial collagen‐like proteins and exploited these to design peptides that self‐assemble into β‐sheet fibers and form hydrogels. One hydrogel supported healthy fibroblast growth, showing promise for biocompatible materials. Our work demonstrates that bacterial sequences can be harnessed to create
Vamika Sagar +5 more
wiley +1 more source
Engineering Strategies for Stable and Long‐Life Alkaline Zinc‐Based Flow Batteries
Alkaline zinc‐based flow batteries face persistent challenges from unstable zinc deposition, including dendrite growth, passivation, corrosion, and hydrogen evolution, which severely limit cycling stability. Current research addresses these issues through coordinated electrode structuring, electrolyte regulation, and membrane design to control zinc ...
Yuran Bai +6 more
wiley +1 more source
We developed a novel copper‐doped aluminum nano‐adjuvant (CuNA) to overcome cytarabine resistance in acute myeloid leukemia (AML). CuNA effectively sensitizes drug‐resistant AML cells to cytarabine by inducing mitochondrial dysfunction and inhibiting HMGCR/GPX4 to amplify ferroptosis.
Chao He +10 more
wiley +1 more source
Magnetic Ion Channel Activation (MICA) enables remote stimulation of mechanosensitive ion channels using functionalised magnetic nanoparticles, enhancing extracellular vesicle (EV) biogenesis is pre‐osteoblasts. MICA desrived EVs exhibit typical nano‐vesicular characteristics but display superior pro‐osteogeneic activity, promoting mesenchymal stem ...
Afeesh Rajan Unnithan +9 more
wiley +1 more source

