Impacts of severity and region of gill tissue resection on regeneration in Atlantic salmon (Salmo salar).

In a previous study, we demonstrated successful regeneration of Atlantic salmon gill tissue following up to 50 % filament resection. The present study explored 1) the capacity of gill tissue to regenerate following more severe trauma, 2) if regeneration potential varies across regions of the arch, and 3) how tissue loss impacts the physiology of neighboring unresected filaments. Fish were divided between two resected groups and a control non-resected one.

The Role of Race/Ethnicity on the Association between Neighborhood Deprivation and Breast Cancer Outcomes among Kentucky Breast Cancer Patients years 2010-2022.

Background: Kentucky is within the top five leading states for breast mortality nationwide. This study investigates the association between neighborhood socioeconomic disadvantage and breast cancer outcomes, including surgical treatment, radiation therapy, chemotherapy, and survival, and how associations vary by race and ethnicity in Kentucky.

Methods: We conducted a retrospective cohort analysis using data from the Kentucky Cancer Registry (KCR) for breast cancer patients diagnosed between 2010 and 2017, with follow-up through December 31, 2022.

Assessment of MpoxPlex, a high-throughput and multiplexed immunoassay: a diagnostic accuracy study.

Background: In May, 2022, the first global outbreak of mpox (formerly known as monkeypox) occurred. In response, public health agencies in the UK have made smallpox vaccines available to individuals at the highest risk of infection. With mpox cases still being detected globally, novel tools are required to aid with diagnosis, serosurveillance, and the evaluation of immune responses following infection and immunisation with current and new vaccine candidates.

Predicting Robotic Hysterectomy Incision Time: Optimizing Surgical Scheduling with Machine Learning.

Background And Objectives: Operating rooms (ORs) are critical for hospital revenue and cost management, with utilization efficiency directly affecting financial outcomes. Traditional surgical scheduling often results in suboptimal OR use. We aim to build a machine learning (ML) model to predict incision times for robotic-assisted hysterectomies, enhancing scheduling accuracy and hospital finances.

Ensemble priming via competitive inhibition: local mechanisms of sensory context storage and deviance detection in the neocortical column.

The process by which neocortical neurons and circuits amplify their response to an unexpected change in stimulus, often referred to as deviance detection (DD), has long been thought to be the product of specialized cell types and/or routing between mesoscopic brain areas. Here, we explore a different theory, whereby DD emerges from local network-level interactions within a neocortical column. We propose that deviance-driven neural dynamics can emerge through interactions between ensembles of neurons that have a fundamental inhibitory motif: competitive inhibition between reciprocally connected ensembles under modulation from feed-forward selective (dis)inhibition.