Majority support moderation on social media platforms
Reports and Proceedings
Updates every hour. Last Updated: 6-May-2025 19:09 ET (6-May-2025 23:09 GMT/UTC)
The American Psychiatric Association’s 2025 Annual Meeting features nationally recognized experts in psychiatry and mental health policy, research, and clinical practice. The meeting’s theme is Lifestyle for Positive Mental and Physical Health, and will feature more than 450 educational sessions on 50 different topics and more than 1,000 poster sessions.
Key points:
A new study led by the Harvard Pilgrim Health Care Institute examined the effects of a January 2019 Medicare opioid safety policy aimed at reducing high-risk opioid prescribing and related harms among these beneficiaries.
Though the policy was associated with immediate reductions in initial prescription duration and concurrent multiple-prescriber high-dosage episodes, these reductions decreased over time, highlighting the need for further interventions to address clinical and social risk factors of opioid misuse.
Researchers have designed an alternative, autonomous observational method to monitor the Arctic’s melting ice, which holds promise for improving the autonomy of marine vehicles, aiding in maritime missions, and gaining a deeper understanding of how melting Arctic sea ice affects marine ecosystems. Their conceptual design features a small waterplane area twin hull vessel that acts as a docking and charging station for autonomous underwater vehicles and unmanned aerial vehicles, using solar and turbine energy to enable continuous monitoring.
A first-of-its-kind study provides a snapshot of the substantial mental health burden on nurses around the world. Published in the journal International Nursing Review, the research documents the impact of three years of intense working conditions brought on by the COVID-19 pandemic.
Artificial Intelligence of Things (AIoT) is becoming immensely popular because of its widespread applications. In a groundbreaking study, researchers from Incheon National University present a new AIoT framework called MSF-Net for accurately recognizing human activities using WiFi signals. The framework utilizes a novel approach that combines different signal processing techniques and a deep learning architecture to overcome challenges like environmental interference and achieve high recognition accuracy.