From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits
This review establishes a unified PS–EQ–RF framework linking graphene sensing mechanisms, native electrical outputs, and output‐specific readout circuits. Voltage‐, current‐, resistance‐, and capacitance‐type sensing systems are systematically classified to guide architecture selection, low‐noise design, system co‐design, and practical integration ...
Jinduo Zhang +5 more
wiley +1 more source
Return to Work Status and Influencing Factors Among Young and Middle-Aged Patients with Stanford Type A Aortic Dissection After Cardiac Surgery: A Random Forest Model Analysis. [PDF]
Chen S, Huang Y, Cheng Y, Chen H, You T.
europepmc +1 more source
Dual pKa Lipid Nanoparticles for Lung‐tropic mRNA Delivery and pH‐Programmed Endosomal Escape
Lipid nanoparticles’ bottleneck lies in low endosomal escape efficiency and liver‐dominant delivery after intravenous administration. To overcome these limitations, we present a stepwise pH‐programmed lipid nanoparticle system enabled by our newly synthesized ionizable lipid.
Seong Gi Lim +12 more
wiley +1 more source
A population spatialization method based on the integration of feature selection and an improved random forest model. [PDF]
Zhao Z +6 more
europepmc +1 more source
In an invasive beetle–fungus complex, the mutualist Leptographium procerum induces host HSP83 and modulates Toll‐dependent antifungal immunity. HSP83 mediates two‐tiered control by associating with selected fungal recognition receptors and restraining Dorsal‐driven antimicrobial peptide transcription.
Qingtai Yang +8 more
wiley +1 more source
Assessing the Impact of Environmental and Management Variables on Mountain Meadow Yield and Feed Quality Using a Random Forest Model. [PDF]
Jarne A, Usón A, Reiné R.
europepmc +1 more source
Constrained Forest Methane Sink by Thermal Adaptation of Soil Methanotrophs
Climate warming can stimulate methanotroph‐mediated CH4 oxidation in forest soils, thereby mitigating the increase in atmospheric CH4 concentrations. By integrating evidence from a macro‐climatic thermal gradient and a 70‐day incubation experiment, this study demonstrates that microbial methanotrophs can adapt to long‐term temperature changes at the ...
Baizhi Jiang +5 more
wiley +1 more source
Artificial bee colony optimized random forest model for prediction of fly ash concrete compressive strength. [PDF]
Bali M, Mishra VP, Yenkikar A.
europepmc +1 more source
Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko +8 more
wiley +1 more source
Analysis of self-transcendence status and influencing factors in gastric cancer patients undergoing chemotherapy: a random forest model-based study. [PDF]
Wang Q +5 more
europepmc +1 more source

