Sub-lethal pesticide exposure interferes with honey bee memory of learnt colours.

Neonicotinoid pesticide use has increased around the world despite accumulating evidence of their potential detrimental sub-lethal effects on the behaviour and physiology of bees, and its contribution to the global decline in bee health. Whilst flower colour is considered as one of the most important signals for foraging honey bees (Apis mellifera), the effects of pesticides on colour vision and memory retention in a natural setting remain unknown. We trained free flying honey bee foragers by presenting artificial yellow flower feeder, to an unscented artificial flower patch with 6 different flower colours to investigate if sub-lethal levels of imidacloprid would disrupt the acquired association made between the yellow flower colour from the feeder and food reward.

Treatment for substance use disorder in mothers of young children: A systematic review of maternal substance use and child mental health outcomes.

Substance use disorders (SUD) in mothers of young children can negatively impact the family unit and promote the intergenerational cycle of mental health disorders. This systematic review aims to: 1) provide an overview of substance use treatments for mothers of young children (from birth to 5 years old); 2) synthesize findings on maternal substance use and child/maternal mental health outcomes; and 3) identify key treatment components. Database searches in Medline, PsycINFO, PubMED, and PsycARTICLES were conducted on May 7th, 2024.

The impact of COVID-19 pre-university education on first-grade medical students. A performance study of students of a Department of Histology.

The recent coronavirus disease (COVID-19) forced pre-university professionals to modify the educational system. This work aimed to determine the effects of pandemic situation on students' access to medical studies by comparing the performance of medical students. We evaluated the performance of students enrolled in a subject taught in the first semester of the medical curriculum in two pre-pandemic academic years (PRE), two post-pandemic years (POST), and an intermediate year (INT) using the results of a final multiple-choice exam.

Semi-Automatic Refinement of Myocardial Segmentations for Better LVNC Detection.

Accurate segmentation of the left ventricular myocardium in cardiac MRI is essential for developing reliable deep learning models to diagnose left ventricular non-compaction cardiomyopathy (LVNC). This work focuses on improving the segmentation database used to train these models, enhancing the quality of myocardial segmentation for more precise model training. We present a semi-automatic framework that refines segmentations through three fundamental approaches: (1) combining neural network outputs with expert-driven corrections, (2) implementing a blob-selection method to correct segmentation errors and neural network hallucinations, and (3) employing a cross-validation process using the baseline U-Net model.

Illicit drug use among adolescents and young adults with impairments in the US: A cross-sectional analysis of the National Survey on Drug Use And Health.

Objective: The purpose of this cross-sectional analysis is to compare the degree to which adolescents and adults with and without impairments in the US engage in illicit drug use.

Methods: This cross-sectional study utilized data from the 2022 National Survey of Drug Use and Health. Impairment status (mobility, cognitive, hearing, vision, self-care, and communication impairments), illicit drug use (cocaine, crack, heroin, hallucinogens, LSD, ecstasy and molly, inhalants, and methamphetamine), and demographic variables were measured using self-report.