Results 201 to 210 of about 855,672 (314)

Bioinspired Bromination Enables Extensible, Strain‐Stiffening Resilin Peptide Scaffolds with Tunable Degradation

open access: yesAdvanced Functional Materials, EarlyView.
Bioinspired bromination of a resilin‐derived peptide enables the fabrication of electrospun nanofibrous scaffolds that uniquely combine strain‐stiffening elasticity, proteolytic stability, and antioxidant functionality. These brominated peptide–gelatin hybrids mimic the extensibility of natural elastomers, demonstrating tunable mechanical resilience ...
Elisa Marelli   +6 more
wiley   +1 more source

Generating Cell Surface Nucleated Hydrogels with an Artificial Membrane‐Binding Transglutaminase

open access: yesAdvanced Functional Materials, EarlyView.
Cell‐based therapies require advanced strategies to enhance cell delivery and bioactivity. Cell membrane engineering offers an avenue to impart new functions to delivered cells to boost their viability and function. Here, an artificial membrane‐binding transglutaminase is generated and biophysically characterized.
Rosalia Cuahtecontzi Delint   +6 more
wiley   +1 more source

Bayesian inference of state feedback control parameters for fo perturbation responses in cerebellar ataxia. [PDF]

open access: yesPLoS Comput Biol
Gaines JL   +6 more
europepmc   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

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