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Communicating with policy makers about climate change, health, and their intersection: a scoping review.
Lancet Planet Health
January 2025
Center for Climate Change Communication, Department of Communication, George Mason University, Fairfax, VA, USA.
Ambitious policies are urgently needed to protect human health from the impacts of climate change. Civil society, including researchers and advocates, can help advance such policies by communicating with policy makers. In this scoping review, we examined what is known about effectively communicating with policy makers to encourage them to act on public health, climate change, or their nexus.
View Article and Find Full Text PDFIntervention to systematize fall risk assessment and prevention in older hospitalized adults: a mixed methods study.
BMC Geriatr
January 2025
Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Background: Fall-prevention interventions are efficient but resource-requiring and should target persons at higher risk of falls. We need to ensure that fall risk is systematically assessed in everyday practice. We conducted a quality improvement (QI) intervention to systematize fall risk assessment and prevention in older adults hospitalized on general internal medicine wards.
View Article and Find Full Text PDFSurvey of the Aβ-peptide structural diversity: molecular dynamics approaches.
Biophys Rev
December 2024
Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilov str. 32, 119991 Moscow, Russia.
Unlabelled: The review deals with the application of Molecular Dynamics (MD) to the structure modeling of beta-amyloids (Aβ), currently classified as intrinsically disordered proteins (IDPs). In this review, we strive to relate the main advances in this area but specifically focus on the approaches and methodology. All relevant papers on the Aβ modeling are cited in the Tables in Supplementary Data, including a concise description of the applied approaches, sorted according to the types of the studied systems: modeling of the monomeric Aβ and Aβ aggregates.
View Article and Find Full Text PDFBayesian fractional polynomial approach to quantile regression and variable selection with application in the analysis of blood pressure among US adults.
J Appl Stat
May 2024
Department of Mathematics, Brunel University London, Uxbridge, UK.
Although the fractional polynomials (FPs) can act as a concise and accurate formula for examining smooth relationships between response and predictors, modelling conditional mean functions observes the partial view of a distribution of response variable, as distributions of many response variables such as blood pressure (BP) measures are typically skew. Conditional quantile functions with FPs provide a comprehensive relationship between the response variable and its predictors, such as median and extremely high-BP measures that may be often required in practical data analysis generally. To the best of our knowledge, this is new in the literature.
View Article and Find Full Text PDFMachine learning-driven risk assessment of coronary heart disease: Analysis of NHANES data from 1999 to 2018.
Zhong Nan Da Xue Xue Bao Yi Xue Ban
August 2024
Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009.
Objectives: The high incidence of coronary artery heart disease (CHD) poses a significant burden and challenge to public health systems globally. Effective prevention and early diagnosis of CHD have become key strategies to alleviate this burden. This study aims to explore the application of advanced machine learning techniques to enhance the accuracy of early screening and risk assessment for CHD.
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