How to get care right for people with learning disabilities in the emergency department : ask and engage

Healthcare professionals are legally obliged to make reasonable adjustments to ensure that people, including those with learning disabilities, can access appropriate and timely care. However, although people with learning disabilities are high users of general health services, staff have little understanding of learning disability with a negative effect on patient experience and outcomes. This article explores some of the challenges experienced by people with learning disabilities in the emergency department (ED). Each section focuses on a different aspect of how to adjust the delivery of healthcare to meet their needs, along with exercises to ensure those adjustments have been understood and to provide practical learning outcomes. Personal stories are also used to identify examples of when and where these adjustments could have been used to provide equal healthcare in the ED. [Abstract copyright: © 2021 RCN Publishing Company Ltd. All rights reserved. Not to be copied, transmitted or recorded in any way, in whole or part, without prior permission of the publishers.

Terrestrial 3D laser scanning to track the increase in canopy height of both monocot and dicot crop species under field conditions

BACKGROUND: Plant growth is a good indicator of crop performance and can be measured by different methods and on different spatial and temporal scales. In this study, we measured the canopy height growth of maize (Zea mays), soybean (Glycine max) and wheat (Triticum aestivum) under field conditions by terrestrial laser scanning (TLS). We tested the hypotheses whether such measurements are capable to elucidate (1) differences in architecture that exist between genotypes; (2) genotypic differences between canopy height growth during the season and (3) short-term growth fluctuations (within 24 h), which could e.g. indicate responses to rapidly fluctuating environmental conditions. The canopies were scanned with a commercially available 3D laser scanner and canopy height growth over time was analyzed with a novel and simple approach using spherical targets with fixed positions during the whole season. This way, a high precision of the measurement was obtained allowing for comparison of canopy parameters (e.g. canopy height growth) at subsequent time points. RESULTS: Three filtering approaches for canopy height calculation from TLS were evaluated and the most suitable approach was used for the subsequent analyses. For wheat, high coefficients of determination (R(2)) of the linear regression between manually measured and TLS-derived canopy height were achieved. The temporal resolution that can be achieved with our approach depends on the scanned crop. For maize, a temporal resolution of several hours can be achieved, whereas soybean is ideally scanned only once per day, after leaves have reached their most horizontal orientation. Additionally, we could show for maize that plant architectural traits are potentially detectable with our method. CONCLUSIONS: The TLS approach presented here allows for measuring canopy height growth of different crops under field conditions with a high temporal resolution, depending on crop species. This method will enable advances in automated phenotyping for breeding and precision agriculture applications. In future studies, the TLS method can be readily applied to detect the effects of plant stresses such as drought, limited nutrient availability or compacted soil on different genotypes or on spatial variance in fields