Long-term measurement and characterization of boundary layer optical turbulence.

The United States Naval Academy long-term scintillation measurement campaign was a multi-year effort to characterize optical turbulence in the near-maritime atmospheric boundary layer (ABL). At its core, the field experiment consists of in situ measurements of bulk atmospheric and oceanographic parameters, as well as path-averaged measurements of the refractive index structure parameter, 2, collected using a large-aperture scintillometer. The field experiment ran from January 1st, 2020, through September 26th, 2023, representing the most comprehensive collection of optical turbulence measurements in the near-maritime ABL to date.

Hybrid optical turbulence models using machine-learning and local measurements.

Accurate prediction of atmospheric optical turbulence in localized environments is essential for estimating the performance of free-space optical systems. Macro-meteorological models developed to predict turbulent effects in one environment may fail when applied in new environments. However, existing macro-meteorological models are expected to offer some predictive power.

'COVID taught me…': Examining child-radio productions in the COVID-19 pandemic.

Framed by critical literacies, the author adapted ethnographic methods to virtual spaces to examine radio as an alternative way to enhance adult understanding of children's COVID-19 experiences. Drawing on a subset of child-produced radio segments from March 2021, she foregrounds how children in an extracurricular program strategically used radio to share their pandemic experiences with their community. Supplemented by 5 months of virtual observations, she identified how child-DJs used radio to share how-through the COVID-19 pandemic-they cared and their community.

Scaffolding the emergence of infant helping: A longitudinal experiment.

Early social experiences, such as caregiver scaffolding, play a crucial but disputed role in the emergence of prosociality. A longitudinal experiment examined how explicit scaffolding-such as encouragement or praise-influences helping late in the first year, when helping emerges. Eighty-three infants (40 female, 6-9 months, 54% White, 17% Hispanic/Latinx, 16% Asian) participated in up to 10-weekly home visits in which they could help an experimenter in a novel activity.

Machine-learning informed macro-meteorological models for the near-maritime environment.

Macro-meteorological models predict optical turbulence as a function of weather data. Existing models often struggle to accurately predict the rapid fluctuations in 2 in near-maritime environments. Seven months of 2 field measurements were collected along an 890 m scintillometer link over the Severn River in Annapolis, Maryland.