Publications by authors named "J J Heinrich"
Background: Unhealthy alcohol use is a leading cause of preventable mortality and a risk factor for an array of social and health problems. The Intervention in Small primary care Practices to Implement Reduction in unhealthy alcohol use (INSPIRE) study is part of a nationwide campaign to improve the identification and treatment of patients engaging in unhealthy alcohol use.
Methods: We conducted a single arm, pragmatic study consisting of seventeen primary care practices in the Chicago metropolitan area, Wisconsin, and California across two waves with a 6-month latent period, a 12-month intervention period, followed by a 6-month sustainability period.
Background: Exposure to residential greenness has been linked with improved sleep duration; however, longitudinal evidence is limited, and the potential mediating effect of ambient fine particulate matter (PM) has yet to be assessed.
Methods: We obtained data for 19,567 participants across seven counties in a prospective cohort in Ningbo, China. Greenness was estimated using Normalized Difference Vegetation Index (NDVI) within 250-m, 500-m and 1000-m buffer zones, while yearly average PM concentrations were measured using validated land-use regression models, both based on individual residential addresses.
High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.
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- Inflammasomes are important protein complexes in the immune system, and their malfunction is connected to various health issues, necessitating targeted treatments based on specific diseases.
- Researchers developed a sophisticated imaging assay for human immune cells, utilizing machine learning and cell biology techniques to analyze cellular responses related to inflammasome activity.
- This approach successfully identified over 100 distinct inflammasome inhibitors from a large library of compounds, showcasing the potential for machine learning to enhance the understanding of complex biological processes and aid in drug discovery.