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| http://dx.doi.org/10.1002/jmrs.425 | DOI Listing |
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Weapon Carrying and Brandishing Among Youth: A Call to Think Beyond General Strain Theory.
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Coalition to Abolish Slavery & Trafficking, Los Angeles, CA, USA.
Weapon carrying and brandishing among youth is a serious public health issue. Recent data from the Centers for Disease Control's Youth Risk Behavior Survey suggests that as many as 1 in 15 male and 1 in 50 female students have carried a gun for nonrecreational purposes within the past 12 months. When examining weapon carrying more broadly, approximately one in eight adolescents report this behavior in the past 30 days alone.
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Background: Individuals with latent tuberculosis infection (LTBI) have a high risk of active infection, morbidity and mortality. Healthcare workers are a group who have increased risk of infection and onward transmission to their patients and other susceptible individuals; however, LTBI is often undiagnosed, and individuals are asymptomatic. Interferon gamma release assays (IGRA) can detect evidence of TB infection in otherwise asymptomatic individuals and are a good indication of LTBI.
View Article and Find Full Text PDFHealthcare users' evaluation of general practice - a survey among Danish men aged 45 to 70 years.
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Department of Clinical Research, University of Southern Denmark and Open Patient data Explorative Network, Odense University Hospital, Odense, Denmark.
Background: Knowledge about healthcare users' evaluation of general practice is relatively limited.
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Flood risk in mountainous settlements: A new framework based on an interpretable NSGA-II-GB from a point-area duality perspective.
J Environ Manage
January 2025
College of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, 1 Zhanlanguan Road, Beijing, 100044, China. Electronic address:
Global climate change has significantly increased the frequency and intensity of extreme precipitation events, thereby heightening flood risks for mountainous settlements. However, due to geographical and socio-economic constraints in these regions, flood-related sample data are generally scarce. This study introduces a Mean Filter (MF) grounded in the point-area duality perspective, combined with a feature selection approach utilizing multi-objective optimization algorithms.
View Article and Find Full Text PDFExploring machine learning tools in a retrospective case-study of patients with metastatic non-small cell lung cancer treated with first-line immunotherapy: A feasibility single-centre experience.
Lung Cancer
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Università Vita-Salute San Raffaele, Milan, Italy; Department of Medical Oncology, IRCCS Ospedale San Raffaele, Milan, Italy.
Background: Artificial intelligence (AI) models are emerging as promising tools to identify predictive features among data coming from health records. Their application in clinical routine is still challenging, due to technical limits and to explainability issues in this specific setting. Response to standard first-line immunotherapy (ICI) in metastatic Non-Small-Cell Lung Cancer (NSCLC) is an interesting population for machine learning (ML), since up to 30% of patients do not benefit.
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