Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.sleep.2023.01.018 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Maternal Incarceration and Health Risk Behaviors Among Adolescents: A Latent Class Analysis.
Int J Offender Ther Comp Criminol
January 2025
Diana R. Garland School of Social Work, Baylor University, Houston, TX, USA.
Most studies on the impact of maternal incarceration on adolescent health risk behaviors have focused on singular, separated behaviors, even though these behaviors often cluster and co-occur. This study used the FFCWS dataset to examine the association between maternal incarceration and the aggregation of health risk behaviors among adolescents. Latent class analysis suggested the four-class model had the optimal model fit.
View Article and Find Full Text PDFThe severe functional impact of long COVID presents a significant challenge for clients seeking to return to work. Despite emerging clinical management guidelines, long COVID remains a concern in the rehabilitation field. There is a need to establish optimal practices for sustainable rehabilitation paths that enhance the recovery of clients with long COVID, all while understanding the challenges faced by rehabilitation professionals working with this population.
View Article and Find Full Text PDFRapid prospective motion correction using free induction decay and stationary field probe navigators at 7T.
Magn Reson Med
January 2025
MR Physics, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Purpose: MR-based FID navigators (FIDnavs) do not require gradient pulses and are attractive for prospective motion correction (PMC) due to short acquisition times and high sampling rates. However, accuracy and precision are limited and depend on a separate calibration measurement. Besides FIDnavs, stationary NMR field probes are also capable of measuring local, motion-induced field changes.
View Article and Find Full Text PDFDissecting AlphaFold2's capabilities with limited sequence information.
Bioinform Adv
November 2024
Institute of Biochemistry and Molecular Medicine, University of Bern, Bern 3012, Switzerland.
Summary: Protein structure prediction aims to infer a protein's three-dimensional (3D) structure from its amino acid sequence. Protein structure is pivotal for elucidating protein functions, interactions, and driving biotechnological innovation. The deep learning model AlphaFold2, has revolutionized this field by leveraging phylogenetic information from multiple sequence alignments (MSAs) to achieve remarkable accuracy in protein structure prediction.
View Article and Find Full Text PDFAnonymize or synthesize? Privacy-preserving methods for heart failure score analytics.
Eur Heart J Digit Health
January 2025
Klaus Tschira Institute for Integrative Computational Cardiology, University Hospital Heidelberg, Im Neuenheimer Feld 669, 69120 Heidelberg, Germany.
Aims: Data availability remains a critical challenge in modern, data-driven medical research. Due to the sensitive nature of patient health records, they are rightfully subject to stringent privacy protection measures. One way to overcome these restrictions is to preserve patient privacy by using anonymization and synthetization strategies.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!