Results 61 to 70 of about 42,548 (252)
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
A 3D disease model is developed using customized hyaluronic‐acid‐based hydrogels supplemented with extracellular matrix (ECM) proteins resembling brain ECM properties. Neurons, astrocytes, and tumor cells are used to mimic the native brain surrounding.
Esra Türker +16 more
wiley +1 more source
Function of eEF-1γ in the nucleus in response to insulin in hepatocellular carcinoma cells
Insulin promotes HepG2 cell proliferation by inducing phosphorylation of the pyruvate dehydrogenase E1α (PDHA1) subunit at Ser293, a mechanism distinct from normal liver tissue.
Abu Jubayer Hossain +4 more
doaj +1 more source
Highlands of the upper Jequitinhonha valley, Brazil: I - characterization and classification
In the upper Jequitinhonha valley, state of Minas Gerais, Brazi, there are large plane areas known as "chapadas", which are separated by areas dissected by tributaries of the Jequitinhonha and Araçuaí rivers. These dissected areas have a surface drainage
Fábio Henrique Alves Bispo +2 more
doaj +1 more source
Molecular Cross‐Linking of MXenes: Tunable Interfaces and Chemiresistive Sensing
In this study, Ti3C2Tx MXenes are initially functionalized using oleylamine ligands to form stable dispersions in an organic solvent. Subsequently ligand exchange with α,ω‐diaminoalkanes enables cross‐linking, along with precise tuning of interfaces. This structural control translates into tunable charge transport and responsive VOC sensing, showing ...
Yudhajit Bhattacharjee +12 more
wiley +1 more source
4D Mapping of ZIF Biocomposites for High Protein Loading and Tunable Release Profiles
Systematic four‐dimensional mapping of zeolitic imidazolate framework biocomposites reveals how precursor ratios, total concentration, and washing define crystalline phase, protein loading, and release kinetics. This comprehensive study identifies conditions yielding record loading (∼85%) and precise phase–property correlations.
Michael R. Hafner +12 more
wiley +1 more source
No tillage systems significantly influence the soil system, but knowledge about the effects on the mineralogy of tropical and subtropical soils is limited.
Alberto Vasconcellos Inda +3 more
doaj +1 more source
A FeN4─O/Clu@NC‐0.1Ac catalyst containing atomically‐dispersed FeN4─O sites (medium‐spin Fe2+) and Fe clusters delivered a half‐wave potential of 0.89 V for ORR and an overpotential of 330 mV at 10 mA cm−2 for OER in 0.1 m KOH. When the catalyst was used in a rechargeable Zn–air battery, a power density of 284.5 mW cm−2 was achieved with excellent ...
Yongfang Zhou +8 more
wiley +1 more source
Com o objetivo de estudar o efeito de diferentes posições do relevo e materiais de origem sobre as características mineralógicas da fração argila dos solos, foram estudadas duas toposseqüências de Latossolos (Latossolo Bruno ácrico LBw e Latossolo ...
André Ademir Ghidin +3 more
doaj +1 more source
[NiFe]‐hydrogenases efficiently catalyze hydrogen conversion, but their instability limits biotechnological applications. Here it is shown that encapsulating hydrogenase into hierarchical COFs with macro‐ and micropores and functionalized with sulfonic or carboxylic acid groups improves enzyme stability and electron transfer to electrodes.
Islam E. Khalil +12 more
wiley +1 more source

