Results 91 to 100 of about 10,366 (238)
Harnessing Phase Separation for the Development of High‐Performance Hydrogels
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao +3 more
wiley +1 more source
Biomolecular condensates formed by intrinsically disordered proteins (IDPs) are semidilute solutions. These can be approximated as solutions of blob-sized segments, which are peptide-sized motifs.
Xiangze Zeng, Rohit V. Pappu
doaj +1 more source
Nanoplastics and Neurodegeneration: A Roadmap From Mechanism to Causation
Nanoplastics are pervasive environmental contaminants with potentially profound implications for human health. Emerging evidence suggests a possible link between nanoplastic exposure and neurodegeneration, a key driver of ageing and dementia, yet causality remains unresolved.
Yuhuan Li +5 more
wiley +1 more source
An experimental framework to assess biomolecular condensates in bacteria
High-resolution imaging of biomolecular condensates in living cells is essential for correlating their properties to those observed through in vitro assays. However, such experiments are limited in bacteria due to resolution limitations.
Y Hoang +5 more
doaj +1 more source
Sensing and Filtering Environmental Fluctuations: The Case of Biomolecular Condensates in Plants
The diversity of plant condensates reflects constraints of sessile organisms to coordinate postembryonic development with environmental adaptation. This review examines how plants employ condensates to integrate temperature, light, redox, and nutrient signals.
Panagiotis N. Moschou, Dorothee Staiger
wiley +1 more source
Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang +4 more
wiley +1 more source
In vitro metabolism of the synthetic cannabinoid 3,5-AB-CHMFUPPYCA and its 5,3-regioisomer and investigation of their thermal stability. [PDF]
Recently, the pyrazole-containing synthetic cannabinoid N-(1-amino-3-methyl-1-oxobutan-2-yl)-1-(cyclohexylmethyl)-3-(4-fluorophenyl)-1H-pyrazole-5-carboxamide (3,5-AB-CHMFUPPYCA) has been identified as a 'research chemical' both in powdered form and as ...
Angerer, V +6 more
core +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Visualizing dynamic protein–protein interactions (PPIs) and phase‐separated biomolecular condensates in live cells is crucial for understanding cellular processes.
Lei Peng +8 more
doaj +1 more source
Searching for quantum optimal controls in the presence of singular critical points
Quantum optimal control has enjoyed wide success for a variety of theoretical and experimental objectives. These favorable results have been attributed to advantageous properties of the corresponding control landscapes, which are free from local optima ...
Brif, Constantin +6 more
core +1 more source

