Apathy is prevalent in individuals with dementia. Lack of responsiveness to environmental stimulation is a key characteristic of apathy. The Person-Environment Apathy Rating (PEAR) scale consists of environment and apathy subscales, which allow for examination of environmental impact on apathy. The interrater reliability of the PEAR scale was examined via real-time observation. The current study included 45 observations of 15 long-term care residents with dementia. Each participant was observed at three time points for 10 minutes each. Two raters observed the participant and surrounding environment and independently rated the participant's apathy and environmental stimulation using the PEAR scale. Weighted Kappa was 0.5 to 0.82 for the PEAR-Environment subscale and 0.5 to 0.8 for the PEAR-Apathy subscale. Overall, with the exception of three items with relatively weak reliability (0.50 to 0.56), the PEAR scale showed moderate to strong interrater reliability (0.63 to 0.82). The results support the use of the PEAR scale to measure environmental stimulation and apathy via real-time observation in long-term care residents with dementia. [Journal of Gerontological Nursing, 44(4), 23-28.].
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http://dx.doi.org/10.3928/00989134-20180131-02 | DOI Listing |
Orthop Surg
January 2025
Department of Orthopaedic, Orthopaedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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View Article and Find Full Text PDFJ Med Internet Res
December 2024
Centre for Digital Health Interventions, School of Medicine, University of St. Gallen, St. Gallen, Switzerland.
Pest Manag Sci
December 2024
Department of Entomology, Washington State University, Pullman, WA, USA.
Background: Efficacy of insecticides is often determined from apparent yield loses due to a target pest. However, pests can affect yields even when controls work as expected. Further, most pest populations are monitored through adult counts without procedures to assess dynamics of immature stages.
View Article and Find Full Text PDFPLoS One
November 2024
School of Information Science and Engineering, Xinjiang College of Science & Technology, Korla, China.
Detecting green fruits presents significant challenges due to their close resemblance in color to the leaves in an orchard environment. We designed GreenFruitDetector, a lightweight model based on an improved YOLO v8 architecture, specifically for green fruit detection. In the Backbone network, we replace ordinary convolution with Deformable Convolution to enhance the extraction of geometric features.
View Article and Find Full Text PDFFoods
October 2024
Institute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
The Jingbai pear is one of the best pear species in China with high quality and nutrition values which are closely linked to its geographical origin. With the purpose of discriminating the PGI Mentougou Jingbai pear from three other producing regions, the stable isotope ratios and elemental profiles of the pears ( = 52) and the corresponding soils and groundwater were determined using isotope ratio mass spectrometry (IRMS) and inductively coupled plasma mass spectrometry (ICP-MS), respectively. The results revealed that δN, δO, and Li were significantly different ( < 0.
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