Results 121 to 130 of about 1,820,384 (367)

Bayesian Elicitation Diagnostics [PDF]

Econometrica, 1992
An elicitation diagnostic forms a question that compares the information in the prior distribution with the information in the given sample. This paper presents one elicitation diagnostic which identifies a family of prior distributions that are practically equivalent to the completely diffuse prior.
openaire   +1 more source

Progress and Prospects of Persistent Luminescent Nanocrystals in Biomedical Applications

Advanced Optical Materials, EarlyView.
This review summarizes recent progress in materials‐level control of persistent luminescence, including mechanistic understanding, wavelength/intensity tuning, and activation strategies, as well as emerging biomedical applications in imaging, biosensing, cell tracking, optogenetic stimulation, and biophotochemical activation.
Peng Pei, Luping Wang, Haitong Jing, Xian Qin, Jiong‐Wei Wang, Xiaogang Liu   +5 more
wiley   +1 more source

Indonesian-language version of general self-efficacy scale-12 using Bayesian confirmatory factor analysis: A construct validity testing

Jurnal Penelitian dan Evaluasi Pendidikan, 2019
The General Self-Efficacy Scale 12 (GSES-12) is a brief measure for assessing self-efficacy. This study aimed to revise an Indonesian language version of the GSES-12 that was translated and adopted from previous research.
Muhammad Dwirifqi Kharisma Putra, Wardani Rahayu, Jahja Umar   +2 more
doaj   +1 more source

Bayesian clustering of high-dimensional data via latent repulsive mixtures [PDF]

, 2023
Lorenzo Ghilotti, Mario Beraha, Alessandra Guglielmi   +2 more
openalex   +1 more source

Modeling and Improving Geometric Accuracy in Projection Multiphoton Lithography

Advanced Optical Materials, EarlyView.
A numerical framework describing the optical and photochemical processes is developed to elucidate the origins of geometric deviations in projection multiphoton lithography. The results indicate that oxygen diffusion and inhibition, and DMD diffraction, lead to geometric distortions.
Anwarul Islam Akash, Jason E. Johnson, Xianfan Xu   +2 more
wiley   +1 more source

Sampling alignment structure under a Bayesian translation model [PDF]

, 2008
John DeNero, Alexandre Bouchard‐Côté, Dan Klein   +2 more
openalex   +1 more source

Reducing Personalization Time and Energy Cost While Walking Outdoors with a Portable Exosuit

Advanced Robotics Research, EarlyView.
Rapid Real‐World Optimization! An AF‐based human‐in‐the‐loop optimization strategy rapidly personalizes a portable hip extension exosuit for incline walking. Real‐time Bayesian optimization of assistive force significantly reduces metabolic energy—up to 16.2%—while converging in just 3 min 24 s.
Kimoon Nam, Saikat Sahoo, Yoosun Kim, Dongmin Go, Jeongho Choo, Cheonkyu Park, Seungtae Yang, Giuk Lee   +7 more
wiley   +1 more source

Use of Bayesian decision analysis to maximize value in patient-centered randomized clinical trials in Parkinson’s disease

, 2023
Shomesh E. Chaudhuri, Zied Ben Chaouch, Brett Hauber, Brennan Mange, Mo Zhou, Stephanie Christopher, D. Bardot, Mary C. Sheehan, Anne Donnelly, Lauren P. McLaughlin, Brittany Caldwell, Heather L. Benz, Martin Ho, Anindita Saha, Katrina Gwinn, Murray Sheldon, Andrew W. Lo   +16 more
openalex   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source

Bridge Pier Displacement Prediction and Control in Subway Tunnel Construction [PDF]

Journal of Engineering, Project, and Production Management
As the scale of underground rail transit construction in urban areas continues to expand, the tunnel construction environment has become progressively more complex. In recent years, an emerging artificial intelligence (AI) method in the civil engineering
Zhaozhao Huang, Jingwen Wang
doaj   +1 more source