Results 121 to 130 of about 49,338 (223)
The Ties That Rhyme: Duality in Symbolic and Structural Networks of Grime Music
ABSTRACT Do birds of a feather really sing together? Musicians face two competing pressures in the pursuit of success: conforming to genre norms to meet audience expectations and distinguishing themselves to attract the attention of listeners. These opposing logics may shape how artists choose their collaborators.
Tom R. Leppard, Andrew P. Davis
wiley +1 more source
Subspace Clustering of Physiological Data From Acute Traumatic Brain Injury Patients: Retrospective Analysis Based on the PROTECT III Trial. [PDF]
Ehsani S +4 more
europepmc +1 more source
Unveiling the factors of aesthetic preferences with explainable AI
Abstract The allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspective by utilizing several different machine learning (ML) models that focus on aesthetic attributes known to influence preferences.
Derya Soydaner, Johan Wagemans
wiley +1 more source
To Grandmother's House We Go: Informal Childcare and Female Labor Mobility
ABSTRACT We document how childcare costs and the location of extended family influence the labor supply and mobility of US women. Women return to their home locations immediately before fertility events, suggesting that informal childcare needs may motivate home migration. Women who live near their parents have lower child earnings penalties.
Garrett Anstreicher, Joanna Venator
wiley +1 more source
Graph-Constrained Residual Self-Expressive Subspace Clustering Network for Hyperspectral Images
Hyperspectral images are widely use due to their rich spectral information. Meanwhile, the difficult acquisition of data labels makes unsupervised classification attracts attention.
Kun Huang +4 more
doaj +1 more source
On Metric Choice in Dimension Reduction for Fréchet Regression
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale +3 more
wiley +1 more source
A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention
ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini +4 more
wiley +1 more source
Markov-Embedded Affinity Learning with Connectivity Constraints for Subspace Clustering
Subspace clustering algorithms have demonstrated remarkable success across diverse fields, including object segmentation, gene clustering, and recommendation systems.
Wenjiang Shao, Xiaowei Zhang
doaj +1 more source
Abstract figure legend Schematic overview of the experimental and computational framework for investigating hiPSC‐CM electrophysiology with MEA systems. The MEA‐based model integrates experimental data with phenotype‐specific ionic models and tissue‐level heterogeneity.
Sofia Botti +2 more
wiley +1 more source
Abstract figure legend We present a shape modelling‐based morphological analysis of sex differences in cardiac anatomy. We conduct our analysis on 456 healthy subjects from the UK Biobank (227M/229F) to uncover sex‐based differences in healthy cardiac morphology.
Beatrice Moscoloni +4 more
wiley +1 more source

