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A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification.
Sci Rep
December 2024
Department of Computer Science and Digital Technologies, University of East London, London, UK.
Nursing activity recognition has immense importance in the development of smart healthcare management and is an extremely challenging area of research in human activity recognition. The main reasons are an extreme class-imbalance problem and intra-class variability depending on both the subject and the recipient. In this paper, we apply a unique two-step feature extraction, coupled with an intermediate feature 'Angle' and a new feature called mean min max sum to render the features robust against intra-class variation.
View Article and Find Full Text PDFLife course socioeconomic position and care dependency in later life: a longitudinal multicohort study from 17 countries.
EClinicalMedicine
January 2025
Center for Smart and Healthy Buildings, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
Background: Care dependency, inability to perform basic daily tasks without assistance due to functional impairment, increases substantially with accelerated population ageing and becomes a pressing public health concern worldwide. Socioeconomic disadvantage has been shown to be associated with elevated risks of care dependency, but how risks are modified by changes in socioeconomic position remains unclear. From a life course perspective, we investigated the association between socioeconomic mobility across the lifespan and care dependency in later life.
View Article and Find Full Text PDFHumans have a long-standing relationship with the natural world, particularly in how they engage with plants-referred to as people-plant relationships. While plants naturally live outdoors, people have been including them inside built environments for centuries. Although the benefits of indoor plants are well documented in research, there is limited exploration of individuals' subjective relationships with their indoor plants.
View Article and Find Full Text PDFTreatment of Unruptured Large and Giant Carotid Cavernous Aneurysms in Japan at the Time of Flow Diverter Introduction: A Nationwide, Multicenter Survey by the Japanese Society on Surgery for Cerebral Stroke.
World Neurosurg
December 2024
Department of Neurosurgery, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, Chuo, Japan.
Background: Flow diverters (FDs) have been introduced for the management of large or giant cavernous carotid aneurysms (CCAs) in addition to conventional modalities, dramatically changing treatment strategies. The aim of this study was to examine the management of unruptured large/giant CCAs in Japan when FDs were being introduced using a nationwide survey.
Methods: 540 unruptured large/giant CCAs treated at neurosurgical teaching departments in Japan between 2012 and 2016 were retrospectively studied.
Utility of photon-counting detectors for MV-kV dual-energy computed tomography imaging.
J Med Imaging (Bellingham)
December 2024
University of Chicago, Department of Radiology, Chicago, Illinois, United States.
Purpose: High soft-tissue contrast imaging is essential for effective radiotherapy treatment. This could potentially be realized using both megavoltage and kilovoltage x-ray sources available on some therapy treatment systems to perform "MV-kV" dual-energy (DE) computed tomography (CT). However, noisy megavoltage images obtained with existing energy-integrating detectors (EIDs) are a limiting factor for clinical translation.
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