This study proposes a cross-species transcriptomic framework to predict vaccine reactogenicity, with implications for preclinical vaccine safety assessment. The findings show that mouse muscle ...

Learn how using historical data, instead of standard deviation, offers a more accurate assessment of stock volatility and risk management strategies.

Background Adults with Tourette syndrome (ATS) face increased risks of self-injury behaviours (SIBs) and suicidality, yet research has largely focused on biological factors. Despite stigma being a ...

Primary and secondary outcome measures Children’s mental health was assessed using the Mental Health Test; parental anxiety and depression were measured with the Generalised Anx ...

Discover how Monte Carlo analysis helps investors assess risk and make informed decisions. Explore its role in generating ...

The reduction in depression and anxiety symptoms 3 months after completing ten AMHSP sessions indicates a slow but meaningful benefit of the programme and supports the potential of a low-intensity, ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Introduction Child stunting, a measure of malnutrition, is a major global health challenge affecting 148.1 million children in 2022. Global stunting rates have declined from 47.2% in 1985 to 22.3% in ...

Background Healthcare patient safety investigations inappropriately focus on individual culpability and the target of ...

Abstract: A surrogate model that accurately predicts distribution system voltages is crucial for reliable smart grid planning and operation. This letter proposes a fixed-point data-driven surrogate ...

NASCAR and ABB collaborate to feature EV prototypes at Daytona 500, demonstrating performance and fostering dialogue on energy efficiency, infrastructure, and the future of electrificat ...