Results 151 to 160 of about 543,991 (343)

Identifying Unknown Response Styles: A Latent-Class Bilinear Multinomial Logit Model [PDF]

Respondents can vary significantly in the way they use rating scales. Specifically, respondents can exhibit varying degrees of response style, which threatens the validity of the responses.
Groenen, P.J.F., Herk, H. van, Rosmalen, J.M. van   +2 more
core   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Generalized latent class modeling using gllamm [PDF]

gllamm can estimate both conventional and unconventional latent class models. Models are specified using discrete latent variables whose values determine the conditional response distributions for the classes. A new feature of gllamm is that latent class
Anders Skrondal, Andrew Pickles, Sophia Rabe-Hesketh   +2 more
core  

Tuning Amorphous‐Crystalline Catalytic Interfaces by Mechanochemistry: Cu‐Based Metallic Glasses Coupled with Ceria for CO Oxidation

Advanced Materials, EarlyView.
Ball‐milling Cu‐based metallic glasses with ceria creates a unique nanostructure where metallic glass particles are wrapped by CeO2 nanoparticles. The intimate integration triggers copper state reorganization during reaction and aging, boosting CO oxidation and COPrOx activity.
Maahin Mirzay‐Shahim, Mehran Nabahat, Laia Pascua‐Solé, Isabel Serrano, Ilaria Lucentini, Xènia Garcia, Marina Armengol‐Profitós, Asier Agrelo‐Lestón, Ignasi Burgués‐Ceballos, Núria J. Divins, Ignacio J. Villar‐Garcia, Virginia Pérez‐Dieste, Carlos Escudero, Carlo Marini, Jordi Llorca, Eloi Pineda, Pere Bruna, Lluís Soler   +17 more
wiley   +1 more source

Users’ Perceived Value of Electric Vehicles in China: A Latent Class Model-Based Analysis

World Electric Vehicle Journal
Future promotional strategies for electric vehicles (EVs) need to be tailored to the initial users’ perceptions regarding these vehicles. This study aims to evaluate EV users’ perceived value in terms of the following five key dimensions: economic ...
Wenbo Li, Ke Cui, Leixing Wu, Bin Zheng
doaj   +1 more source

Thermally Drawn Multifunctional All‐Hydrogel Fibers for Anti‐Fibrotic and Multimodal Neural Interfaces

Advanced Materials, EarlyView.
Hydrogels demonstrate material properties that mimic the mechanical and chemical environments of biological tissues. Yet, they face challenges during their integration into 3D interfaces. By identifying a class of thermoplastic hydrogels, a strategy is developed to pattern hydrogels in thermally drawn fibers.
Changhoon Sung, Kum Seok Nam, Yeji Kim, Honey Kang, Kanghyeon Kim, Chanwoong Yoon, Somin Lee, Ain Chung, Jiheong Kang, Young‐Gyun Park, Alan Jung Park, Haider Butt, Hyunwoo Yuk, Seongjun Park   +13 more
wiley   +1 more source

Incorporating Marginal Prior Information in Latent Class Models

, 2015
Tracy Schifeling, Jerome P. Reiter
openalex   +1 more source

A Bayesian Latent Class Model to Predict Kidney Obstruction in the Absence of Gold Standard. [PDF]

J Am Stat Assoc, 2020
Chang C, Jang JH, Manatunga A, Taylor AT, Long Q.   +4 more
europepmc   +1 more source

Excited State Opto‐Ionic Reservoir Computing in Hybrid Perovskite Electrochemically‐Gated Luminescent Cells

Advanced Materials, EarlyView.
A neuromorphic computing system exploiting opto‐ionic modulation in lead halide perovskite microcrystals demonstrates high‐dimensional reservoir dynamics with diffraction‐limited node resolution. Leveraging ultrafast excited‐state interactions, it achieves efficient computation (800 pJ/node‐operation), robustly distinguishing 4‐bit pulse sequences ...
Philipp Kollenz, Carina Herrle, Leonard Göhringer, Nasrin Solhtalab, Tom Wickenhäuser, Wolfram Pernice, Rüdiger Klingeler, Felix Deschler   +7 more
wiley   +1 more source

Accuracy of transcranial magnetic stimulation and a Bayesian latent class model for diagnosis of spinal cord dysfunction in horses. [PDF]

J Vet Intern Med, 2020
Rijckaert J, Raes E, Buczinski S, Dumoulin M, Deprez P, Van Ham L, van Loon G, Pardon B.   +7 more
europepmc   +1 more source