Results 131 to 140 of about 133,224 (286)
Machine learning‐assisted surface‐enhanced Raman spectroscopy analysis of exosomal sialic acid for ovarian cancer diagnosis, as well as independent monitoring of exosomal sialic acid expression levels across different treatment periods, reveals a potential correlation with treatment response.
Lili Cong +6 more
wiley +1 more source
Stochastic parametric resonance in shear flows [PDF]
Time-periodic shear flows can give rise to Parametric Instability (PI), as in the case of the Mathieu equation (Stoker, 1950; Nayfeh and Mook, 1995).
F. J. Poulin, M. Scott
doaj
Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang +3 more
wiley +1 more source
Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception. [PDF]
Schilling A +9 more
europepmc +1 more source
Deformation Driven Suction Cups: A Mechanics‐Based Approach to Wearable Electronics
Deformation‐driven suction cups enable robust, reversible adhesion of wearable electronics to human skin spanning wide mechanical compliance, without adhesives or tight straps. By integrating mechanics modeling, experiments, and contact mechanics theory, this work reveals how cup geometry, substrate compliance, and interfacial adhesion govern suction ...
Seola Lee +10 more
wiley +1 more source
We introduce a novel, ion‐targeted strategy to enhance calcium permeation in voltage gated calcium channels. By directly driving the ions’ coherent collective motion via resonant coupling with a 1.65 THz field, we lower the inter‐site energy barrier, inducing a statistically significant enhancement of ion influx.
Zihao Zhang +6 more
wiley +1 more source
Emerging Device Applications From Strong Light–Matter Interactions in 2D Materials
Two‐dimensional semiconductors enable extremely compact optoelectronic devices such as solar cells, sensors, LEDs, and lasers. Their strong light–matter interactions allow efficient light emission, detection, and energy conversion. This review article discusses the recent progress in integrating these materials with optical cavities and nanostructures ...
Janani Archana K +7 more
wiley +1 more source
Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu +5 more
wiley +1 more source
Does stochastic resonance improve performance for individuals with higher autism-spectrum quotient? [PDF]
Raul P +3 more
europepmc +1 more source
A zinc/manganese (Zn/Mn)‐based metal‐organic framework (MOF) loaded with the STING agonist c‐di‐AMP diammonium (denoted AMP@Zn/Mn‐MOF) was developed to synergistically activate the cGAS‐STING pathway and induce immunogenic cell death. This nanoplatform reprograms the immunosuppressive tumor microenvironment, significantly enhancing anti‐PD‐L1 ...
Bingzi Zhu +15 more
wiley +1 more source

