Results 151 to 160 of about 9,468,510 (297)

A latent class approach to investigating consumer demand for genetically modified staple food in a developing country: The case of GM bananas in Uganda [PDF]

genetically modified bananas, Consumers, Choice experiment, latent class model, preference heterogeneity, Science and technology, Genetic resources, Genetically engineered crops, Genetically modified crops,
Kikulwe, Enoch, Birol, Ekin, Falck-Zepeda, José, Wesseler, Justus   +3 more
core  

Clustering longitudinal data: comparison of model-based and distance-based approaches using simulated and real-world data in psychiatric research

BMC Medical Research Methodology
Background Clustering longitudinal symptom trajectories is increasingly used to characterise clinical heterogeneity in psychiatric disorders. However, the relative performance of distance-based and model-based approaches remains insufficiently studied in
Laura Julià, Ana M. Sánchez-Torres, Jessica Merchan, Silvia Amoretti, Josep Lluis Carrasco, Sergi Mas   +5 more
doaj   +1 more source

Leishmania exposure in dogs from two endemic countries from New and Old Worlds (Brazil and Portugal): evaluation of three serological tests using Bayesian Latent Class Models. [PDF]

Parasit Vectors, 2022
Maia C, Fraga DBM, Cristóvão J, Borja LS, da Silva Solcà M, Campino L, Veras PST, Gonçalves L.   +7 more
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Estimating the sensitivity and specificity of serum ELISA and pooled and individual fecal PCR for detecting Mycobacterium avium subspecies paratuberculosis in Canadian cow-calf herds using Bayesian latent class models. [PDF]

Front Vet Sci, 2022
Johnson P, McLeod L, Campbell J, Rousseau M, Larson K, Waldner C.   +5 more
europepmc   +1 more source

Robust Electrocaloric Performance Enabled by Highly‐Polar Frustrated Nanodomains in NaNbO3‐Based Ferrodistortive Relaxor

Advanced Functional Materials, EarlyView.
P4bm framework in NaNbO3‐Ba(Ti, Hf)O3 ferrodistortive relaxor entails short‐range and highly‐polar ferrodistortive orders. The abundant highly‐polar orders facilitate to increase entropy change, and robust octahedral oxygen tilt enables to impede thermal perturbations.
Feng Li, Changshun Dai, He Qi, Jiecheng Liu, Xiaoming Shi, Heng Zhou, Qiong Yang, Mingsheng Long, Lei Shan, Chunchang Wang, Jianli Wang, Zhenxiang Cheng   +11 more
wiley   +1 more source

Enhanced measurement equations for latent class choice models [PDF]

Integrating psychometric indicators in latent class choice models allows to enhance the characterization of the latent classes. In this research, we consider measurement equations that include socio-economic indicators of the decision-makers.
Glerum, Aurélie, Nguyen, My Hang, Bierlaire, Michel, Hurtubia, Ricardo   +3 more
core   +1 more source

Achieving High ON State Current through Ferroelectric Polarization‐Dependent Interfacial Resistance Switching in Undoped Orthorhombic HfO2 Films

Advanced Functional Materials, EarlyView.
Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand, Nuno Estrócio, Ji S. Kim, Babak Bakhit, Marian C. Istrate, Corneliu Ghica, Tiago Rebelo, Nives Strkalj, Abin Varghese, Bernardo Almeida, Luís S. Marques, Bipin Rajendran, Judith L. MacManus‐Driscoll, José P. B. Silva   +13 more
wiley   +1 more source

Estimation of Dynamic Latent Variable Models Using Simulated Nonparametric Moments [PDF]

. Given a model that can be simulated, conditional moments at a trial parameter value can be calculated with high accuracy by applying kernel smoothing methods to a long simulation.
Michael Creel, Dennis Kristensen
core  

Diagnostic Accuracy Estimates for COVID-19 Real-Time Polymerase Chain Reaction and Lateral Flow Immunoassay Tests With Bayesian Latent-Class Models. [PDF]

Am J Epidemiol, 2021
Kostoulas P, Eusebi P, Hartnack S.
europepmc   +1 more source