Results 171 to 180 of about 1,514,883 (344)

Latent Class Models for Longitudinal Studies of the Elderly with Data Missing at Random [PDF]

, 2002
Beth A. Reboussin, Michael E. Miller, Kurt K. Lohman, Rth Ho   +3 more
openalex   +1 more source

Modelling the composition of household portfolios: A latent class approach [PDF]

, 2023
Raslan Alzuabi, Sarah Brown, Mark N. Harris, Karl Taylor   +3 more
openalex   +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

Detecting departures from the conditional independence assumption in diagnostic latent class models: a simulation study. [PDF]

BMC Med Res Methodol
Okkaoglu Y, Welton NJ, Jones HE.
europepmc   +2 more sources

Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics

Advanced Materials, EarlyView.
An active learning framework is introduced for the accelerated discovery of high‐entropy chalcogenides with superior thermoelectric performance. Only 80 targeted syntheses, selected from 16206 possible combinations, led to three high‐performance compositions, demonstrating the remarkable efficiency of data‐driven guidance in experimental materials ...
Hanhwi Jang, Wooseok Lee, Hwa‐Jung Kim, Sohyang Cha, Hosun Shin, Won Bo Lee, Min‐Wook Oh, Yeon Sik Jung, YongJoo Kim   +8 more
wiley   +1 more source

Asymmetry of the Ferroelectric Phase Transition in BaTiO3

Advanced Materials, EarlyView.
Phase transitions are typically assumed to behave identically in forward and reverse. This work shows that in the ferroelectric material barium titanate this is not true: heating drives an abrupt, first‐order jump, while cooling gives a smooth, continuous change.
Asaf Hershkovitz, Elangovan Hemaprabha, Rajesh Mandal, Pravin Kavle, Jamil Tanus, Maya Barzilay, Ching‐Che Lin, David Spirito, Semën Gorfman, Bo Wang, Ignacio J. Villar‐García, Neus Domingo, Long‐Qing Chen, Lane W. Martin, Yachin Ivry   +14 more
wiley   +1 more source

Ammonium Salts as Curing Agents to Obtain Ionic Epoxy Resins With a Thermoplastic‐to‐Thermoset Transition

Advanced Materials, EarlyView.
Ionic epoxy networks are prepared using ammonium salts as hardeners, leading to a two‐stage curing process with a thermoplastic‐like intermediate. This uncommon behavior enables extrusion and fabrication of thermoplastic prepregs that can be cured into thermoset composites.
Izabela Kurowska, Leire Unanue, Itxaso Calafel, Dorleta Otaegui, Jorge L. Olmedo‐Martínez, Lourdes Irusta, Daniel Vinagre, Nora Aranburu, Nerea Casado, Ibon Odriozola, David Mecerreyes   +10 more
wiley   +1 more source

Longitudinal Trajectories of Digital Cognitive Biomarkers for Multiple Sclerosis

Annals of Clinical and Translational Neurology
Background Cognitive impairment is one of the most common and debilitating symptoms of relapsing–remitting multiple sclerosis (RRMS). Digital cognitive biomarkers require less time and resources and are rapidly gaining popularity in clinical settings. We
Yi Chao Foong, Daniel Merlo, Melissa Gresle, Chao Zhu, Katherine Buzzard, Jeannette Lechner‐Scott, Michael Barnett, Chenyu Wang, Bruce V. Taylor, Tomas Kalincik, Trevor Kilpatrick, David Darby, Pamela Dobay, Johan vanBeek, Robert Hyde, Steve Simpson‐Yap, Helmut Butzkueven, Anneke van derWalt   +17 more
doaj   +1 more source

Bayesian hierarchical latent class models for estimating diagnostic accuracy. [PDF]

Stat Methods Med Res, 2020
Wang C, Lin X, Nelson KP.
europepmc   +1 more source

Modeling Predictors of Latent Classes in Regression Mixture Models [PDF]

, 2016
Min-Jung Kim, Jeroen K. Vermunt, Zsuzsa Bakk, Thomas Jaki, M. Lee Van Horn   +4 more
openalex   +1 more source