Results 131 to 140 of about 84,918 (213)
Robust Stitching Interface and Deep Learning Empowered Hydrogel Human‐Machine Interface
A molecular design strategy is presented that exploits synergistic carboxylate anion–quaternary ammonium interactions to simultaneously strengthen the hydrogel–PET interface and the bulk hydrogel network. Integrated with deep learning signal processing, the stable hydrogel–PET interface enables consistent signal acquisition and reliable human‐machine ...
Hao Dong +11 more
wiley +1 more source
Refining estimation techniques for the Two-Sided Power Distribution: A data-sensitive perspective. [PDF]
Güral Y.
europepmc +1 more source
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen +5 more
wiley +1 more source
Microbial Primer: Understanding the exponential growth of epidemics. [PDF]
King KC, Saad-Roy CM, Coombs D, Ashby B.
europepmc +1 more source
We elucidate the electrochemical actuation mechanism of 2D material‐based electrodes within a MXene‐centered framework, linking atomic‐scale surface chemistry to macroscopic performance (see schematic). Mechanistically, the reduction of Ti─O─Ti sites in H2SO4 triggers the accumulation of hydrated ions at confined active sites, resulting in anomalous ...
Jiang Xu +6 more
wiley +1 more source
Quantum‐Like Dynamics in Whole‐Brain Models of the Human Connectome
Quantum‐like dynamics in the human brain. The level of quantum‐like behavior in a non‐quantum system of coupled oscillators is regulated by the spectral gap of the coupling graph. Whole‐brain modelling using QL fits the empirical data significantly better and has a lower model‐derived energy cost than the non‐QL model.
Gustavo Deco +5 more
wiley +1 more source
Dictionary Learning Methods for Brain Activity Mapping with MEG Data. [PDF]
Calvetti D, Somersalo E.
europepmc +1 more source
Neuromorphic Devices and Computing for Sensing, Memory, and Control
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu +2 more
wiley +1 more source
Estimation of spatiotemporal poisson processes with missing data. [PDF]
Guigues V +3 more
europepmc +1 more source
Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders
BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
wiley +1 more source

