Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2597148 | PMC |
| http://dx.doi.org/10.1073/pnas.0807633105 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Can a single coastal tide gauge help predict internal solitary wave activity offshore.
Sci Rep
January 2025
Laboratoire d'Océanographie Physique et Spatiale (LOPS), IUEM, CNRS, Ifremer, IRD, University of Brest, 29280, Plouzané, France.
Internal solitary waves (ISWs) propagate in stratified waters, enhancing diapycnal mixing, sediment and mass transport on shelves. They have typical wavelengths of hundreds of meters and tens of minutes periods, requiring high resolution and high frequency measurements for their sampling. But such in-situ measurements are scarce and ISWs remain largely unpredictable.
View Article and Find Full Text PDFA hybrid model for carbon price forecasting based on SSA-NSTransformer: Considering the role of multi-stage carbon reduction targets.
J Environ Manage
January 2025
School of Economics and Management, North China Electric Power University, Beijing, China. Electronic address:
In order to reduce the unpredictability of carbon prices caused by their increasingly prominent environmental and market attributes, and to minimize their negative impact on carbon trading, further research on forecasting models for carbon price is urgently needed. To improve the accuracy of prediction, this paper proposes a carbon price forecasting method based on SSA-NSTransformer. The method includes four main steps: Firstly, decomposition of carbon price signals, using Singular Spectrum Analysis to remove noise signals; Secondly, analysis of influencing factors, using Random Forest to identify and select key influencing factors of carbon price signal components from energy price, financial market, socio-economic, and environmental aspects; Furthermore, influencing factors prediction, considering the impact of different carbon reduction targets and predicting future trends of influencing factors; And finally, carbon price prediction, considering the impact of factors based on multi-stage carbon reduction targets, using Non-stationary Transformer to predict the signal components of carbon prices, reconstructing the carbon price time series, and testing the model accuracy.
View Article and Find Full Text PDFPredicting residual pain after vertebral augmentation in vertebral compression fractures: a systematic review and critical appraisal of risk prediction models.
BMC Musculoskelet Disord
January 2025
Department of Acupuncture and Moxibustion, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Background: Patients with vertebral compression fractures may experience unpredictable residual pain following vertebral augmentation. Clinical prediction models have shown potential for early prevention and intervention of such residual pain. However, studies focusing on the quality and accuracy of these prediction models are lacking.
View Article and Find Full Text PDFInterferon-α biological activity is associated with disease activity and risk of flare in cutaneous lupus erythematosus: a monocentric study of 184 patients.
J Am Acad Dermatol
January 2025
Sorbonne Université, Faculté de médecine, AP-HP, Service de Dermatologie et Allergologie, Hôpital Tenon, Paris, France; Sorbonne Université, Inserm, Centre d'Immunologie et des Maladies Infectieuses-Paris (Cimi-Paris), INSERM U1135, Paris, France. Electronic address:
Background: Cutaneous Lupus Erythematosus (CLE) is associated with unpredictable flares and may induce permanent damage. There is currently no biomarker routinely available in CLE.
Objective: To evaluate the performance of IFN-α biological activity as biomarker of CLE activity and risk of flare.
The QUIC-SP: A Spanish language tool assessing unpredictability in early life is linked to physical and mental health.
PLoS One
January 2025
Department of Psychology, Crean College of Health and Behavioral Sciences, Chapman University, Orange, California, United States of America.
Accumulating evidence indicates that unpredictable signals in early life represent a unique form of adverse childhood experiences (ACEs) associated with disrupted neurodevelopmental trajectories in children and adolescents. The Questionnaire of Unpredictability in Childhood (QUIC) was developed to assess early life unpredictability [1], encompassing social, emotional, and physical unpredictability in a child's environment, and has been validated in three independent cohorts. However, the importance of identifying ACEs in diverse populations, including non-English speaking groups, necessitates translation of the QUIC.
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!