Fairness at Risk: Where Bias Emerges in Machine Learning
ABSTRACT Artificial intelligence and machine learning (ML) now shape decisions in healthcare, finance and security, but they can reproduce historical prejudice and inequality. Bias in training data and in model implementation can amplify harm, especially for racial and gender minorities.
Otavio de Paula Albuquerque +2 more
wiley +1 more source
ABSTRACT Introduction Spiritual health is an important component of holistic health and social care provision; however, previous research highlights a training gap in this area. The SHARP (Spiritual Health Awareness and Recommendations in Primary Care) project used co‐design processes informed by the Person‐Based Approach (PBA) to develop a training ...
Ishbel Orla Whitehead +7 more
wiley +1 more source
Abstract Large particle size and thick coatings have been detected in pyrocumulonimbus (pyroCb) smoke injected into the lower stratosphere, enhancing both extinction and absorption of smoke. Here, we quantified how particle size and coating, via internal mixing of non‐absorbing species on black carbon, influence pyroCb smoke radiative forcing and ...
Xi Chen +6 more
wiley +1 more source
Two decades of satellite observations of AOD over mainland China
. The retrieval of aerosol properties from satellite observations provides their spatial distribution over a wide area in cloud-free conditions. As such, they complement ground-based measurements by providing information over sparsely instrumented areas,
Gerrit de Leeuw +10 more
core +1 more source
Towards downscaling global AOD with machine learning
Poor air quality represents a significant threat to human health, especially in urban areas. To improve forecasts of air pollutant mass concentrations, there is a need for high-resolution Aerosol Optical Depth (AOD) forecasts as proxy.
Freischem, Lilli +4 more
core
Vertical Aerosol Structure Matters: Improving the AOD-PM<sub>2.5</sub> Link for Air Quality and Exposure. [PDF]
Rogozovsky I, Ansmann A, Chudnovsky A.
europepmc +1 more source
Analysis and source identification of dust event in Khuzestan province using MODIS and SENTINEL satellite data and HYSPLIT model (2018-2022). [PDF]
Yousefi Kebriya A +3 more
europepmc +1 more source
Influence of a Co-Designed Alcohol and Other Drug Education Program on Clinician Attitudes Toward People Who Use AOD: A Quantitative Evaluation. [PDF]
Razavy S +15 more
europepmc +1 more source
Dust storms: Hidden drivers of extreme rainfall and global precipitation shifts. [PDF]
Liu Y +6 more
europepmc +1 more source
Grief, mental health, historical trauma, and alcohol use among American Indian and Alaska Native populations. [PDF]
Gameon JA, Grubin F, Skewes MC.
europepmc +1 more source

