Results 101 to 110 of about 254,793 (285)
Identifying Latent Structures in Restricted Latent Class Models
This paper focuses on a family of restricted latent structure models with wide applications in psychological and educational assessment, where the model parameters are restricted via a latent structure matrix to reflect pre-specified assumptions on the latent attributes.
Gongjun Xu, Zhuoran Shang
openaire +1 more source
From Bug to Feature: Harnessing Cross‐Sensitivity for Multiparametric Luminescence Sensing
Cross‐sensitivity in luminescence sensing is reframed from a limitation into a resource for multiparametric detection. Using ruby microspheres as a model system, cross‐sensitivity is quantitatively assessed and exploited through linear discriminant analysis, enabling simultaneous, correction‐free pressure and temperature sensing with a single ...
Nikita Panov +5 more
wiley +1 more source
Estimating propensity scores with missing covariate data using general location mixture models
In many observational studies, researchers estimate causal effects using propensity scores, e.g., by matching or sub-classifying on the scores. Estimation of propensity scores is complicated when some values of the covariates aremissing.
Mitra, Robin, Reiter, Jerome P.
core +1 more source
Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong +7 more
wiley +1 more source
BackgroundPrior studies have demonstrated a prevalent occurrence of depression among the middle-aged and older Chinese individuals with chronic diseases.
Jiaxing Pei +10 more
doaj +1 more source
Integrating latent variables in discrete choice models – How higher-order values and attitudes determine consumer choice [PDF]
Integrated choice and latent variable (ICLV) models represent a promising new class of models which merge classic choice models with the structural equation approach (SEM) for latent variables.
Dirk Temme +2 more
core
Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley +1 more source
Estimating Multiple Classification Latent Class Models
This paper presents a new class of models for persons-by-items data. The essential new feature of this class is the representation of the persons: every person is represented by its membership to multiple latent classes, each of which belongs to one latent classification.
openaire +3 more sources
Optoelectronic control of redox‐active polyoxometalate clusters in polymer matrices yields hybrid memristors with switchable volatile and non‐volatile modes, enabling reservoir‐type in‐sensor optical preprocessing and stable multilevel synapses for multimodal neuromorphic computing, including noise‐tolerant audiovisual keyword recognition and hardware ...
Xiangyu Ma +13 more
wiley +1 more source
Background Diabetes is a chronic disease, and hyperglycemia can increase the risk of diabetic complications and the need for more inpatient services. Therefore, the prevention and control of diabetes are important.
Zahra Khosravi +4 more
doaj +1 more source

