Results 211 to 220 of about 479,757 (331)
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
Shrinkage Estimators for Beta Regression Models
The beta regression model is a useful framework to model response variables that are rates or proportions, that is to say, response variables which are continuous and restricted to the interval (0,1).
Firinguetti, Luis +2 more
core
Bayesian shrinkage priors for penalized synthetic control estimators in the presence of spillovers. [PDF]
Fernández-Morales E +2 more
europepmc +1 more source
Direct-Assisted Bayesian Unit-level Modeling for Small Area Estimation of Rare Event Prevalence. [PDF]
McGovern A, Wilson K, Wakefield J.
europepmc +1 more source
On–Off Switchable Micromotors for Use in Steerable Microvehicles
Electrically controllable micromotors and microvehicles are developed by tuning the diffusion of the fuel. Self‐propelled micromotors using bubble propulsion show great promise for miniaturized devices with multiuse purposes such as cargo delivery and sensing. However, there is currently no method to electrically switch the micromotors on or off. Here,
Hugo Severinsson +3 more
wiley +1 more source
Shrinkage ridge estimators in semiparametric regression models
M. Roozbeh
semanticscholar +1 more source
Modulus‐Switchable Miniature Robots for Biomedical Applications: A Review
Materials, robot designs, proof‐of‐concept functions, and biomedical applications of modulus‐switchable miniature robots. Miniature soft robots have shown great potential in biomedical applications due to their excellent controllability and suitable mechanical properties in biological environments.
Chunyun Wei, Yibin Wang, Jiangfan Yu
wiley +1 more source
A Comparative Study of Different Shrinkage Estimators for Panel Data Models
The present paper uses small-sigma asymptotics to show that in general the shrinkage estimators have superior properties among the individual least squares estimators, the simple average estimators, the weighted average estimators, estimators obtained by
G. S. Maddala +2 more
core
A network-guided penalized regression with application to proteomics data. [PDF]
Ahn S, Oh EJ.
europepmc +1 more source
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy +13 more
wiley +1 more source

