Results 221 to 230 of about 1,128,323 (301)
Quantile Regression in Epidemiology: Capturing Heterogeneity Beyond the Mean. [PDF]
Gnardellis C.
europepmc +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
Assessing chance in neuro-vascular interactions. [PDF]
Aksenov DP +6 more
europepmc +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Statistical inference on high-dimensional covariate-dependent Gaussian graphical regressions. [PDF]
Meng X, Zhang J, Li Y.
europepmc +1 more source
This review highlights recent advances in accelerating luminescence in nanostructures through cooperative emission, resonator coupling, and nonlocal light–matter interactions. By unifying concepts such as excitonic superradiance, superfluorescence, and the plasmonic Purcell effect, it reveals physical limits of ultrafast emission and their potential ...
Masaaki Ashida +3 more
wiley +1 more source
Neural variability in the medial prefrontal cortex contributes to efficient adaptive behavior. [PDF]
Findling C +3 more
europepmc +1 more source
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa +10 more
wiley +1 more source
AI-powered IC50 prediction for p53 inhibitors drug-target interaction via hybrid graph neural networks. [PDF]
El-Masry WH +3 more
europepmc +1 more source

