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Online ensemble model compression for nonstationary data stream learning.
Neural Netw
January 2025
School of Computer Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom.
Learning from data streams that emerge from nonstationary environments has many real-world applications and poses various challenges. A key characteristic of such a task is the varying nature of the underlying data distributions over time (concept drifts). However, the most common type of data stream learning approach are ensemble approaches, which involve the training of multiple base learners.
View Article and Find Full Text PDFA Snapshot of United States Sarcoidosis Patients and their Perceived Disease Impact: Results of the Sarcoidosis Research Institute Survey.
Lung
January 2025
Division of Pulmonary and Critical Care Medicine, Albany Medical College, 16 New Scotland Avenue, MC-91, Albany, NY, 12208, USA.
Purpose: The priorities and concerns of sarcoidosis patients in the United States (US) have not been well-described.
Methods: A survey constructed by sarcoidosis patients and doctors was administered to US sarcoidosis patients. The survey queried patients concerning their demographics, disease state, disease impact on health and well-being, health care priorities and impressions of sarcoidosis care.
Primary prevention in hospitals in 20 high-income countries in Europe - A case of not "Making Every Contact Count"?
Health Policy
January 2025
Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland. Electronic address:
This article provides a snapshot of primary prevention activities in hospitals in 20 European high-income countries, based on inputs from experts of the Observatory's Health Systems and Policies Monitor (HSPM) network using a structured questionnaire. We found that in the vast majority of countries (15), there are no systematic national policies on primary prevention in hospitals. Five countries (Cyprus, Finland, Ireland, Romania and the United Kingdom) reported systematic primary prevention activities in hospitals, although in one of them (Cyprus) this was due to the fact that small hospitals in rural areas or less populated districts host providers of primary care.
View Article and Find Full Text PDFIn situ visualization of endothelial cell-derived extracellular vesicle formation in steady state and malignant conditions.
Nat Commun
October 2024
Department of Biochemistry and Chemistry, School of Agriculture, Biomedicine and Environment, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, VIC, Australia.
Endothelial cells are integral components of all vasculature within complex organisms. As they line the blood vessel wall, endothelial cells are constantly exposed to a variety of molecular factors and shear force that can induce cellular damage and stress. However, how endothelial cells are removed or eliminate unwanted cellular contents, remains unclear.
View Article and Find Full Text PDFDesign and implementation of a portable snapshot multispectral imaging crop-growth sensor.
Front Plant Sci
August 2024
College of Agriculture, Nanjing Agricultural University, Nanjing, China.
The timely and accurate acquisition of crop-growth information is a prerequisite for implementing intelligent crop-growth management, and portable multispectral imaging devices offer reliable tools for monitoring field-scale crop growth. To meet the demand for obtaining crop spectra information over a wide band range and to achieve the real-time interpretation of multiple growth characteristics, we developed a novel portable snapshot multispectral imaging crop-growth sensor (PSMICGS) based on the spectral sensing of crop growth. A wide-band co-optical path imaging system utilizing mosaic filter spectroscopy combined with dichroic mirror beam separation is designed to acquire crop spectra information over a wide band range and enhance the device's portability and integration.
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