Publications by authors named "M Seibold"

Objective: Understanding compliance with COVID-19 mitigation recommendations is critical for informing efforts to contain future infectious disease outbreaks. This study tested the hypothesis that higher levels of worry about COVID-19 illness among household caregivers would predict lower (a) levels of overall and discretionary social exposure activities and (b) rates of household SARS-CoV-2 infections.

Methods: Data were drawn from a surveillance study of households with children ( = 1913) recruited from 12 U.

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Background: Total Hip Arthroplasty (THA) is a well-established and common orthopedic surgery. Due to the complexity involved in THA, orthopedic surgeons require rigorous training. However, the current gold standard, the tutor-guided and -evaluated apprenticeship model is time-consuming, costly, and poses risks to patients.

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Rationale: Corticosteroid-responsive type 2 (T2) inflammation underlies the T2-high asthma endotype. However, we hypothesized that type 1 (T1) inflammation, possibly related to viral infection, may also influence corticosteroid response.

Objectives: To determine the frequency and within-patient variability of T1-high, T2-high, and T1/T2-high asthma endotypes and whether virally influenced T1-high disease influences corticosteroid response in asthma.

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Rhinovirus C (RV-C) infection can trigger asthma exacerbations in children and adults, and RV-C-induced wheezing illnesses in preschool children correlate with the development of childhood asthma. Surfactant protein A (SP-A) plays a critical role in regulating pulmonary innate immunity by binding to numerous respiratory pathogens. Mature SP-A consists of multiple isoforms that form the hetero-oligomers of SP-A1 and SP-A2, organized in 18-mers.

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Article Synopsis
  • The current method for assessing pedicle screw loosening relies heavily on radiation-emitting imaging, which can be unreliable in certain cases.
  • The authors propose a new, radiation-free technique using vibroacoustic sensing that involves exciting the vertebrae with vibrations and measuring them with a sensitive sensor attached to the screw.
  • The new method has been validated through simulations and physical tests on cadaveric lumbar spine specimens, achieving high sensitivity and specificity in detecting loose implants.
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