Results 61 to 70 of about 756,305 (328)

A Latent Factor Analysis of Working Memory Measures Using Large-Scale Data

Frontiers in Psychology, 2017
Working memory (WM) is a key cognitive system that is strongly related to other cognitive domains and relevant for everyday life. However, the structure of WM is yet to be determined.
Otto Waris, Anna Soveri, Anna Soveri, Miikka Ahti, Russell C. Hoffing, Daniel Ventus, Susanne M. Jaeggi, Aaron R. Seitz, Matti Laine, Matti Laine   +9 more
doaj   +1 more source

Causal Effect Inference with Deep Latent-Variable Models [PDF]

, 2017
Learning individual-level causal effects from observational data, such as inferring the most effective medication for a specific patient, is a problem of growing importance for policy makers.
Louizos, Christos, Mooij, Joris, Shalit, Uri, Sontag, David, Welling, Max, Zemel, Richard   +5 more
core   +1 more source

ALDOA Promotes Glycolysis and NLRP3/GSDMD Pyroptosis to Accelerate ALS Progression

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is characterized by progressive motor neuron degeneration. Glycolytic dysregulation is implicated in disease progression, yet the underlying mechanisms remain unclear. This study investigates how Aldolase A (ALDOA) drives ALS progression through glycolysis‐mediated motor neuron pyroptosis.
Kaixin Yan, Yan Jiang, Yuxuan Yong, Tianshuo Zhang, Niannian Zhang, Qianqian Zeng, Xue Gong, Li Meng, Fangfang Bi, Yongmin Liu   +9 more
wiley   +1 more source

Application of a joint multivariate probit model for mixed outcomes of CD4 cell count and tuberculosis using a Bayesian latent variable approach in KwaZulu-Natal

Frontiers in Applied Mathematics and Statistics
HIV and tuberculosis (TB) remain closely linked public health threats in sub-Saharan Africa, with South Africa bearing the highest burden of both diseases.
Exaverio Chireshe, Retius Chifurira, Jesca Mercy Batidzirai, Knowledge Chinhamu, Ayesha B. M. Kharsany, Ayesha B. M. Kharsany   +5 more
doaj   +1 more source

Modeling Latent Variable Uncertainty for Loss-based Learning [PDF]

, 2012
We consider the problem of parameter estimation using weakly supervised datasets, where a training sample consists of the input and a partially specified annotation, which we refer to as the output.
Koller, Daphne, Kumar, M. Pawan, Packer, Ben   +2 more
core   +4 more sources

Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer, Marie Obrecht, Charlotte de Maeseneire, Charlotte Damien, Chantal Depondt, Lorenzo Ferlini, Estelle Rikir, Filippo Annoni, Fabio Silvio Taccone, Nicolas Mavroudakis, Benjamin Legros, Nicolas Gaspard   +11 more
wiley   +1 more source

Modular Jump Gaussian Processes

Data Science in Science
Gaussian processes (GPs) furnish accurate nonlinear predictions with well-calibrated uncertainty. However, the typical GP setup has a built-in stationarity assumption, making it ill-suited for modeling data from processes with sudden changes, or “jumps ...
Anna R. Flowers, Christopher T. Franck, Mickaël Binois, Chiwoo Park, Robert B. Gramacy   +4 more
doaj   +1 more source

Online Tensor Methods for Learning Latent Variable Models [PDF]

, 2015
We introduce an online tensor decomposition based approach for two latent variable modeling problems namely, (1) community detection, in which we learn the latent communities that the social actors in social networks belong to, and (2) topic modeling, in
Anandkumar, Animashree, Hakeem, Mohammad Umar, Huang, Furong, Niranjan, U. N.   +3 more
core   +2 more sources

Movement Disorders in Aicardi–Goutières Syndrome and Response to Immunomodulation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This study characterizes movement disorders and treatment responses in seven children with Aicardi–Goutières syndrome (AGS). We retrospectively evaluated motor phenotypes, neuroimaging, and interferon signatures in patients treated with baricitinib or anifrolumab. Spasticity affected all patients, while dystonia was present in 4/7.
Enrique Gonzalez Saez‐Diez, Monica Ferrer Socorro, Kathryn Yang, Nicole Battaglia, Zainab Zaman, Mariko Bennett, Adeline Vanderver, Pui Y. Lee, Lauren A. Henderson, Milena M. Andzelm, Darius Ebrahimi‐Fakhari   +10 more
wiley   +1 more source

Formative & Reflective Measurement Models

Southeast Asian Business Review
This research paper explores the distinctions between reflective and formative measurement models. The two commonly used methodologies in social science research for measuring latent variables.
Neha Sharma, N.P Singh
doaj   +1 more source