Results 91 to 100 of about 265,367 (299)

Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data

IEEE Transactions on Biomedical Engineering, 2019
In this work, we conduct comprehensive comparisons between four variants of independent component analysis (ICA) methods and three variants of sparse dictionary learning (SDL) methods, both at the subject-level, by using synthesized fMRI data with ground-
Wei Zhang, Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, Jieping Ye, D. Hu, Tianming Liu   +10 more
semanticscholar   +1 more source

Genetic Risk and High Burden of Depression and Suicide in the Maya‐Mestizo Population of Yucatán, México

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT Major depression and suicide are critical public health concerns, particularly in underrepresented populations with unique genetic and sociocultural contexts. The Maya‐mestizo population presents the highest suicide rates in the country but remains understudied in psychiatric genetics. This study evaluated the association between three genetic
Marta Menjivar, Erandi Bravo, Margarita Rivera‐Balancan, Barbara Itzel Pena Espinoza   +3 more
wiley   +1 more source

Macroeconomic Forecasting with Independent Component Analysis [PDF]

This paper considers a factor model in which independent component analysis (ICA) is employed to construct common factors out of a large number of macroeconomic time series. The ICA has been regarded as a better method to separate unobserved sources that
Ruey Yau
core  

The cranial, mandibular, and hyoid anatomy of softshell turtles (Trionychidae): A revised character list for phylogenetic analysis

The Anatomical Record, EarlyView.
Abstract Softshell turtles (Pan‐Trionychidae) are an early branching clade of hidden‐necked turtles (Cryptodira) with a rich fossil record extending back to the Early Cretaceous. The evolutionary history of softshell turtles is still unresolved because of their conservative morphology combined with high levels of polymorphism related to morphological ...
Léa C. Girard, Walter G. Joyce
wiley   +1 more source

Improved EOG Artifact Removal Using Wavelet Enhanced Independent Component Analysis

Brain Science, 2019
Electroencephalography (EEG) signals are frequently contaminated with unwanted electrooculographic (EOG) artifacts. Blinks and eye movements generate large amplitude peaks that corrupt EEG measurements.
M. F. Issa, Z. Juhasz
semanticscholar   +1 more source

A critical reappraisal of the carotid sinus and carotid bulb: Distinguishing neurohistological function from vascular geometry

The Anatomical Record, EarlyView.
This review redefines the carotid bulb (CB) as a variable geometric dilation shaped by hemodynamics and the carotid sinus (CS) as a conserved neurohistological baroreceptor field. Distinguishing these entities clarifies a century of anatomical confusion and links geometry, neurohistology, and clinical interpretation within a unified framework ...
Răzvan Costin Tudose, Nicolae Radu, Mugurel Constantin Rusu   +2 more
wiley   +1 more source

Oldest well‐preserved euprimate petrosal, from the early Eocene of India (Vastan Lignite Mine, Gujarat)

The Anatomical Record, EarlyView.
Abstract An exquisitely preserved, isolated partial petrosal with associated fragmentary stapes is described from the Vastan Lignite Mine (Gujarat, India), dated to the early Eocene (~54.5 Ma). Several anatomical traits (e.g., large petrosal plate; posterolateral entry of the internal carotid artery to the tympanic cavity; bony tubes surrounding the ...
Mary T. Silcox, Kenneth D. Rose, Rachel H. Dunn, Kishor Kumar, Rajendra S. Rana, Ashok Sahni, Lachham Singh, Thierry Smith, Jordan W. Crowell   +8 more
wiley   +1 more source

The Underlying Return Generating Factors for REIT Returns: An Application of Independent Component Analysis [PDF]

Multi-factor approaches to analysis of real estate returns have, since the pioneering work of Chan, Hendershott and Sanders (1990), emphasised a macro-variables approach in preference to the latent factor approach that formed the original basis of the ...
Colin Lizieri, Qi Zhang, Stephen Satchell   +2 more
core  

Clusterwise Independent Component Analysis (C-Ica): An R Package for Clustering Subjects Based on Ica Patterns Underlying Three-Way (Brain) Data

Neurocomputing
In many areas of science, like neuroscience, genomics and text mining, several important and challenging research questions imply the study of (subject) heterogeneity present in three-way data. In clinical neuroscience, for example, disclosing differences or heterogeneity between subjects in resting state networks (RSNs) underlying multi-subject fMRI ...
Durieux, J., Rombouts, S.A.R.B., Koini, M., Gonzalez Claramunt, J., Wilderjans, T.F.   +4 more
openaire   +3 more sources

AI voice journaling for future language teachers: A path to well‐being through reflective practices

British Educational Research Journal, EarlyView.
Abstract This study aimed to explore the perceived impact of using an AI‐powered voice journaling app in overcoming the challenges and stressors encountered by senior students enrolled in teaching practicum at an English Language Teaching Bachelor's programme.
Bora Demir, Duygu Özdemir
wiley   +1 more source