Using Machine Learning as a Seroma Risk Assessment Tool in Prepectoral Breast Reconstruction. [PDF]
Chinta SR +9 more
europepmc +1 more source
Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann +8 more
wiley +1 more source
Effects of drying processes on the chemical and physical properties of safflower: Towards a multidimensional quality evaluation model. [PDF]
Li J +10 more
europepmc +1 more source
Bio‐Inspired Molecular Events in Poly(Ionic Liquids)
Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley +1 more source
Low-Power Embedded Sensor Node for Real-Time Environmental Monitoring with On-Board Machine-Learning Inference. [PDF]
Reis MJCS.
europepmc +1 more source
Active and Multi-View Machine Learning for microRNA Prediction
Mohsen Sheikh Hassani
openalex +2 more sources
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim +10 more
wiley +1 more source
The mechanism of Qingyi decoction in improving intestinal barrier injury in pancreatitis: Network pharmacology analysis, machine-learning models, and molecular docking. [PDF]
Xu F +9 more
europepmc +1 more source
Machine learning-enabled discovery and design of membrane-active peptides
Ernest Y. Lee +2 more
openalex +2 more sources

