Results 301 to 310 of about 5,278,373 (369)

Amide‐Linked Local Anesthetics Alter Tumor Biology in a Complex Human Tissue Model of Non‐Small Cell Lung Adenocarcinoma

open access: yesAdvanced Biology, EarlyView.
Amide local anesthetics (LA) affect tumor burden in various preclinical studies, possibly via their anti‐inflammatory properties. However, a translation into clinical evidence is still lacking. The current study demonstrates that LA ‐ even at clinically relevant concentrations – exert a strong anti‐tumoral effect in a complex ex vivo model patient ...
Juliane Krömer   +8 more
wiley   +1 more source

A Spatially Resolved View on the Aging Substantia nigra: An Exploratory Proteomic Study

open access: yesAdvanced Biology, EarlyView.
Although aging is the most important risk factor for several neurodegenerative diseases, the molecular effects of physiological aging are still understudied. By applying spatially‐resolved proteomic analyses of the human substantia nigra pars compacta, alterations in vesicular trafficking and mitochondrial proteins are observed, as well as reduced ...
Britta Eggers   +10 more
wiley   +1 more source

A Different Perspective on the Solid Lubrication Performance of Black Phosphorous: Friend or Foe?

open access: yesAdvanced Engineering Materials, EarlyView.
Researchers investigate black phosphorous (BP) as a standalone solid lubricant coating through ball‐on‐disc linear‐reciprocating sliding experiments in dry conditions. Testing on different metals shows BP doesn't universally reduce friction and wear. However, it achieves 33% friction reduction on rougher iron surfaces and 23% wear reduction on aluminum.
Matteo Vezzelli   +5 more
wiley   +1 more source

Cross-dialectal Arabic translation: comparative analysis on large language models. [PDF]

open access: yesFront Artif Intell
Beidas A   +4 more
europepmc   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

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