The water molecule, crucial to the chemical composition and dynamics of the universe, is typically identified in its gas phase via radio and submillimeter transitions, with frequencies up to a few THz. To understand the physicochemical behavior of astronomical objects, accurate transition frequencies are required for these lines. From a set of 26 new and 564 previous Lamb dip measurements, utilizing our ultrasensitive laser-based spectrometers in the near-infrared region, ultrahigh-precision spectroscopic networks were set up for H O and H O, augmented with 40 extremely accurate frequencies taken from the literature. Based on kHz-accuracy paths of these networks, considerably improved line-center frequencies have been obtained for 35 observed or predicted maser lines of H O, as well as for 14 transitions of astronomical significance of H O. These reference frequencies, attached with 5-25 kHz uncertainties, may help future studies in various fields of astrochemistry and astrophysics, in particular when precise information is demanded about Doppler-velocity components, including the gas flows of galactic cores, the kinematics of planetary nebulae, or the motion in exoplanetary atmospheres.
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http://dx.doi.org/10.1021/acsearthspacechem.4c00161 | DOI Listing |
Int J Epidemiol
December 2024
School of Nutrition and Public Health, College of Health, Oregon State University, Corvallis, OR, USA.
Background: Billions of dollars have been spent implementing regulations to reduce traffic-related air pollution (TRAP) from exhaust pipe emissions. However, few health studies have evaluated the change in TRAP emissions and associations with infant health outcomes. We hypothesize that the magnitude of association between vehicle exposure measures and adverse birth outcomes has decreased over time, parallelling regulatory improvements in exhaust pipe emissions.
View Article and Find Full Text PDFInt J Epidemiol
December 2024
Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Ann Intern Med
January 2025
Department of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Kyoto, Japan (K.K.).
Background: Dialysis patients have high rates of fracture morbidity, but evidence on optimal management strategies for osteoporosis is scarce.
Objective: To determine the risk for cardiovascular events and fracture prevention effects with denosumab compared with oral bisphosphonates in dialysis-dependent patients.
Design: An observational study that attempts to emulate a target trial.
Ann Intern Med
January 2025
Centre of Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital; Division of Experimental Medicine, McGill University; Department of Epidemiology, Biostatistics and Occupational Health, McGill University; Department of Medicine, McGill University; and Division of Cardiology, Jewish General Hospital/McGill University, Montreal, Quebec, Canada (M.J.E.).
Background: Recent randomized controlled trials (RCTs) have investigated glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and dual or triple co-agonists for weight loss among adults with overweight or obesity and without diabetes.
Purpose: To assess the efficacy and safety of GLP-1 RAs and co-agonists for the treatment of obesity among adults without diabetes.
Data Sources: MEDLINE, Embase, and Cochrane CENTRAL from inception to 4 October 2024.
J Med Internet Res
January 2025
Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States.
Background: The increasing use of social media to share lived and living experiences of substance use presents a unique opportunity to obtain information on side effects, use patterns, and opinions on novel psychoactive substances. However, due to the large volume of data, obtaining useful insights through natural language processing technologies such as large language models is challenging.
Objective: This paper aims to develop a retrieval-augmented generation (RAG) architecture for medical question answering pertaining to clinicians' queries on emerging issues associated with health-related topics, using user-generated medical information on social media.
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