Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry.

Pollen and tracheophyte spores are ubiquitous environmental indicators at local and global scales. Palynology is typically performed manually by microscopic analysis; a specialised and time-consuming task limited in taxonomical precision and sampling frequency, therefore restricting data quality used to inform climate change and pollen forecasting models. We build on the growing work using AI (artificial intelligence) for automated pollen classification to design a flexible network that can deal with the uncertainty of broad-scale environmental applications. We combined imaging flow cytometry with Guided Deep Learning to identify and accurately categorise pollen in environmental samples; here, pollen grains captured within c. 5500 Cal yr BP old lake sediments. Our network discriminates not only pollen included in training libraries to the species level but, depending on the sample, can classify previously unseen pollen to the likely phylogenetic order, family and even genus. Our approach offers valuable insights into the development of a widely transferable, rapid and accurate exploratory tool for pollen classification in 'real-world' environmental samples with improved accuracy over pure deep learning techniques. This work has the potential to revolutionise many aspects of palynology, allowing a more detailed spatial and temporal understanding of pollen in the environment with improved taxonomical resolution.

Summative evaluation of a pilot aquatic exercise program for children with disabilities.

BACKGROUND: Children with disabilities have lower physical activity levels and participate less in community-based sport and exercise programs than do children without disabilities. This in part is due to environmental barriers and lack of appropriate resources in these programs. Adaptive programs encouraging increased physical activity for children with disabilities are needed, and as these programs are developed, they should be critically evaluated. PURPOSE: The purposes of this article are to describe a pilot aquatic exercise program for children with disabilities, to evaluate the program, and to determine areas of strength and areas needing modifications. METHODS: A summative program evaluation design was used to assess this twice per week aquatic exercise program lasting 14 weeks. Sixteen children, ages 6-12 years, with developmental disabilities participated in the program. Children swam laps, participated in relay races and water basketball games, and performed arm and leg strengthening exercises using aquatic noodles, foam barbells, and water for resistance. Swimming skills, program evaluation questionnaires, physical activity questionnaires, and interviews of pool site directors were used to determine program outcomes. RESULTS: Findings suggest that children made improvements in their swimming skills, parents were satisfied with the program, and children increased their physical activity levels during the program and maintained the increased physical activity levels six months after the program ended. The program continued in some form after the 14-week intervention ended. CONCLUSIONS: The program was successful in achieving its objectives and recommendations for application of this program are provided.