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Emergency nurses’ disaster preparedness competencies: A focused mapping review and synthesis
Published 2025-01-01Get full text
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Detection the topics of Facebook posts using text mining with Latent Dirichlet Allocation (LDA) algorithm
Published 2025-01-01Get full text
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An Investigation into Dietary Fibre Intake, Bowel Function and Mood among a sample of Irish Adults
Published 2023-12-01“…The majority of those who participated were female (69%) and members of the Faculty of Sciences and Health (66.5%). The mean dietary fibre intake of the study cohort was 20.01g/day (SD=11.9g/day). …”
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Human Falling Recognition Based on Movement Energy Expenditure Feature
Published 2021-01-01Get full text
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Prediction of growth and feed efficiency in mink using machine learning algorithms
Published 2025-02-01Get full text
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Estrus response in dairy cows surviving foot and mouth disease given Superbooster and Immunobooster
Published 2024-11-01Get full text
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Development of a Mobile Application Platform for Self-Management of Obesity Using Artificial Intelligence Techniques
Published 2021-01-01“…Moreover, the system is able to adequately track the progress of the user’s weight loss over time, daily nutritional needs, daily calorie intake, and predictions of meals that must be taken to avoid compromising their health. …”
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Associations of meteorological factors and ambient air pollutants with mumps incidence in Ningxia Hui Autonomous Region: boosted regression tree model analysis
Published 2024-10-01“…ObjectiveTo evaluate the associations of meteorological factors and ambient air pollutants with the incidence of mumps in Ningxia Hui Autonomous Region, and to provide a reference for the development of early warning and response systems for mumps epidemic. MethodsData on the daily number of mumps cases in Ningxia Hui Autonomous Region from 2015 to 2019 were obtained from the Notifiable Infectious Disease Surveillance System of the region, and data on meteorological factors (daily mean temperature/relative humidity/atmospheric pressure/wind speed) and air pollutants (daily concentrations of ozone, [O3], sulfur dioxide [SO2], carbon monoxide [CO], nitrogen dioxide [NO2], and particulate matter with aerodynamic diameter < 2.5/10 mum [PM2.5/PM10]) for the same period were obtained from the National Meteorological Science Data Center. …”
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