Publications by authors named "M Bridget Zimmerman"
Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The rapid development of highly effective vaccines against SARS-CoV-2 has altered the trajectory of the pandemic, and antiviral therapeutics have further reduced the number of COVID-19 hospitalizations and deaths. Coronaviruses are enveloped, positive-sense, single-stranded RNA viruses that encode various structural and non-structural proteins, including those critical for viral RNA replication and evasion from innate immunity.
View Article and Find Full Text PDFVisual experience gives rise to persistent theta oscillations in the mouse primary visual cortex (V1) that are specific to the familiar stimulus. Our recent work demonstrated the presence of these oscillations in higher visual areas (HVAs), where they are synchronized with V1 in a context-dependent manner. However, it remains unclear where these unique oscillatory dynamics originate.
View Article and Find Full Text PDFArticle Synopsis
- * The study introduces enhanced modeling techniques for neutrino flux and detector response, and it distinguishes between starting (inside) and throughgoing (outside) neutrino interaction events to improve energy resolution.
- * The findings indicate a best-fit point for the 3+1 model with sin²(2θ_{24})=0.16 and Δm_{41}²=3.5 eV², supporting previous studies while showing consistency with no evidence of sterile neutrinos, as reflected
Proteins are dynamic systems whose structural preferences determine their function. Unfortunately, building atomically detailed models of protein structural ensembles remains challenging, limiting our understanding of the relationships between sequence, structure, and function. Combining single molecule Förster resonance energy transfer (smFRET) experiments with molecular dynamics simulations could provide experimentally grounded, all-atom models of a protein's structural ensemble.
View Article and Find Full Text PDFIntroduction: Firearm injuries are a leading cause of death for youth/young-adults. We utilized latent class analysis to identify distinct motivational/behavioral patterns of firearm possession in a youth/young-adult emergency department sample to inform prevention strategies.
Methods: Cross-sectional data were obtained from surveys conducted among youth/young-adults (age = 16-29; n = 1311) seeking emergency department treatment (7/10/2017-6/25/2018).