AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation.

The present dataset comprises a collection of RGB-D apple tree images that can be used to train and test computer vision-based fruit detection and sizing methods. This dataset encompasses two distinct sets of data obtained from a Fuji and an Elstar apple orchards. The Fuji apple orchard sub-set consists of 3925 RGB-D images containing a total of 15,335 apples annotated with both modal and amodal apple segmentation masks.

Social determinants of health as a framework to identify and assess cross-sector funding opportunities.

Objective: To present a content analysis and method for applying a social determinants of health (SDOH) analytical framework to legislation.

Data Sources And Study Setting: Secondary data include 215 sections of the American Rescue Plan Act of 2021 (ARPA) and related information from federal government websites (e.g.

Eggsplorer: a rapid plant-insect resistance determination tool using an automated whitefly egg quantification algorithm.

Background: A well-known method for evaluating plant resistance to insects is by measuring insect reproduction or oviposition. Whiteflies are vectors of economically important viral diseases and are, therefore, widely studied. In a common experiment, whiteflies are placed on plants using clip-on-cages, where they can lay hundreds of eggs on susceptible plants in a few days.

Changes to lung surfactant monolayers upon exposure to gas phase ozone observed using X-ray and neutron reflectivity.

Exposure to the secondary pollutant ozone in ambient air is associated with adverse health effects when inhaled. In this work we use surface pressure measurements, combined with X-ray and neutron reflection, to observe changes in a layer of lung surfactant at the air water interface when exposed to gas phase ozone. The results demonstrate that the layer reacts with ozone changing its physical characteristics.