HIV service use among minoritized racial and ethnic transgender and gender non-conforming youth in the U.S South: a qualitative investigation.

Transgender youth are disproportionately affected by HIV, particularly minoritized youth in the US south. To understand HIV service use among transgender youth, we interviewed 25 young racial and ethnic minority clients of four southern community-based HIV service organizations (CBOs), and CBO staff ( = 12), about service access and use. Participants were assigned male at birth and identified as female ( = 8), transgender ( = 11) or gender-fluid or nonbinary ( = 6).

Spontaneous slow cortical potentials and brain oscillations independently influence conscious visual perception.

Perceptual awareness results from an intricate interaction between external sensory input and the brain's spontaneous activity. Pre-stimulus ongoing activity influencing conscious perception includes both brain oscillations in the alpha (7 to 14 Hz) and beta (14 to 30 Hz) frequency ranges and aperiodic activity in the slow cortical potential (SCP, <5 Hz) range. However, whether brain oscillations and SCPs independently influence conscious perception or do so through shared mechanisms remains unknown.

"It Was So Easy in a Situation That's So Hard": Structural Stigma and Telehealth Abortion.

For decades, sociological research has examined the role of stigma in contributing to health disparities, yet such research seldom grapples with the interplay between individuals and structures. There is a particular paucity of research on abortion that concurrently examines individual experiences with stigma and structural barriers. In this article, we use telehealth abortion as a case, which now accounts for one in five abortions in the United States.

Predictive Understanding of Stream Salinization in a Developed Watershed Using Machine Learning.

Stream salinization is a global issue, yet few models can provide reliable salinity estimates for unmonitored locations at the time scales required for ecological exposure assessments. Machine learning approaches are presented that use spatially limited high-frequency monitoring and spatially distributed discrete samples to estimate the daily stream-specific conductance across a watershed. We compare the predictive performance of space- and time-unaware Random Forest models and space- and time-aware Recurrent Graph Convolution Neural Network models (KGE: 0.

Memory representations during slow change blindness.

Classic change blindness is the phenomenon where seemingly obvious changes that coincide with visual disruptions (such as blinks or brief blanks) go unnoticed by an attentive observer. Some early work into the causes of classic change blindness suggested that any pre-change stimulus representation is overwritten by a representation of the altered post-change stimulus, preventing change detection. However, recent work revealed that, even when observers do maintain memory representations of both the pre- and post-change stimulus states, they can still miss the change, suggesting that change blindness can also arise from a failure to compare the stored representations.