Publications by authors named "M E Benjamin"

Background: We compared long-term clinical outcomes between patients with cardiac sarcoidosis (CS) who received no treatment (NT), steroid treatment (ST), disease-modifying anti-rheumatic drugs (DMARDs), or tumor necrosis factor alpha inhibitors (TNF).

Methods: Patients from SSM healthcare system's data warehouse were identified using ICD codes. Inclusion criteria included at least 6 months of follow-up.

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We present an approach to detecting (linear) gravitational wave memory in a Galactic core-collapse supernova using current interferometers. Gravitational wave memory is an important prediction of general relativity that has yet to be confirmed. Our approach uses a combination of linear prediction filtering and matched filtering.

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Introduction: Early caregiving interactions and experiences profoundly shape a child's brain development. The American Academy of Pediatrics (AAP) recently advocated for a public-health approach to promoting safe, stable, nurturing relationships that is "founded on universal primary preventions", including consistent messaging on fostering family resilience, nurturing connections, and positive childhood experiences. Hospitals have unique access to families with children ages 0-5 and therefore play a key role in supporting these early experiences.

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  • * Elevated CO levels, nutrients, and temperatures lead to harmful algal blooms (HABs), which can negatively impact water quality, ecosystems, and public health due to the production of toxins.
  • * The review discusses the dual role of algal blooms in carbon fixation and their complex metabolites, highlights advancements in understanding these structures, and examines strategies for managing and controlling HABs.
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  • Researchers used computer predictions to design antiviral compounds targeting specific proteins (Nsps) in the SARS-CoV-2 virus responsible for mRNA maturation and immune evasion.
  • The compound Chromenephenylmethanone-1 (CPM-1), selected for its high specificity, was synthesized and tested, showing impressive results with 98.9% inhibition of the virus and no harmful effects on cells.
  • This study highlights the effectiveness of computational modeling in discovering and developing new antiviral drugs against COVID-19.
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