Publications by authors named "C ZIEGLER"

Viral variant and host vaccination status impact infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), yet how these factors shift cellular responses in the human nasal mucosa remains uncharacterized. We performed single-cell RNA sequencing (scRNA-seq) on nasopharyngeal swabs from vaccinated and unvaccinated adults with acute Delta and Omicron SARS-CoV-2 infections and integrated with data from acute infections with ancestral SARS-CoV-2. Patients with Delta and Omicron exhibited greater similarity in nasal cell composition driven by myeloid, T cell and SARS-CoV-2 cell subsets, which was distinct from that of ancestral cases.

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Background: Allostatic load (AL), a measure of cumulative stress-related physiological dysregulation, predicts the onset of chronic diseases. We investigated the relationship between AL and cardiovascular disease (CVD)-free survival in parents and offspring, including sex-specific differences.

Methods: The analysis consisted of 6145 offspring-mother-father trios derived from the Framingham Heart Study.

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Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.

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Article Synopsis
  • Two diradicaloid systems were developed from oxidizing a specific aza-BODIPY core, which were thoroughly characterized using various experimental and computational techniques.
  • The ground state in solution is believed to be diamagnetic (stable), while at room temperature, the solid-state exhibits a mix of excited states and characters.
  • Fast excited state deactivation and solvent-dependent diradical character were observed, with the system able to transition through different states via single-electron reductions or deprotonation.
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Purpose: To assess whether biometric data of participants (i.e., weight, body mass index (BMI), body fat percentage (BFP), heart rate, and blood pressure) would be statistically different from pre- to post-program assessments after completion of a single institution medical fitness referral program.

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