Results 181 to 190 of about 9,854,297 (301)

Learning hierarchical latent class models

, 2003
Hierarchical latent class (HLC) models generalize latent class models. As models for cluster analysis, they suit more applications than the latter because they relax the often untrue conditional independence assumption. They also facilitate the discovery
Zhang, Nevin Lianwen, Karciauskas, Gytis, Jensen, Finn V., Kočka, Tomáš   +3 more
core  

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Hierarchical latent class models for mortality surveillance using partially verified verbal autopsies. [PDF]

J R Stat Soc Ser A Stat Soc
Zhu Y, Li ZR.
europepmc   +1 more source

Elasticity‐Driven Periodic Polarization Patterns in a Chiral Ferroelectric Nematic Fluid

Advanced Materials, EarlyView.
Chiral polar ferroelectric nematic fluids exhibit spontaneous formation of stripe, square, and hexagonal polarization textures under confinement. Controlled by thickness and anchoring, these patterns produce spatially modulated nonlinear optical responses.
Anej Sterle, Peter Medle Rupnik, Luka Cmok, Aitor Erkoreka, Marta Lavrič, Natan Osterman, Calum J. Gibb, Jordan Hobbs, Josu Martinez‐Perdiguero, Richard J. Mandle, Alenka Mertelj, Nerea Sebastián   +11 more
wiley   +1 more source

Diagnostic sensitivity and specificity of metagenomic sequencing and qPCR for detection of viruses associated with bovine respiratory disease estimated using Bayesian latent class models. [PDF]

Front Vet Sci
Donbraye E, McLeod L, Chai Z, Lacoste SR, McCarthy EL, Hill JE, Erickson NEN, Links MG, Otto SJG, Huang Y, Waldner CL.   +10 more
europepmc   +1 more source

Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies

Advanced Materials, EarlyView.
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim, Haeseong Kim, Joo Hwan Ko, Gil Ju Lee, Dae‐Hyeong Kim, Young Min Song   +5 more
wiley   +1 more source

Joint Latent Class Models: A Tutorial on Practical Applications in Clinical Research. [PDF]

Stat Med
Kyheng M, Babykina G, Duhamel A.
europepmc   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

Evaluating sensitivity and specificity of the DPP Vet TB assay in badgers using Bayesian latent class models. [PDF]

PLoS One
Jinks RC, Lesellier S, Smith F, Menzies FD, Ashford RT, Waring L, Dave D, Anderson P, Stringer LA, Pascual-Linaza AV, Corbett D, Thompson S, Arnold ME.   +12 more
europepmc   +1 more source