Objectives To examine the association between exposure to greenness and hospital admissions for mental disorders, and to ...

Browne’s near-term emphasis is efficiency: AI can unlock “vast amounts of efficiency,” often with short paybacks. Hochstein, ...

This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.

Objective To characterise and quantify the mortality risks for a range of causes after tropical cyclones in nine countries ...

Researchers used a new covariance-based method, MANOCCA, to map how environmental factors like age, sex, smoking, and BMI shape bacterial co-abundance in the healthy gut microbiome. The study revealed ...

Antarctica's Hidden Power Over Global Climate Systems Antarctica is a vital component of Earth's climate system, influencing ...

Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for ...

Her exhibition at NIKA Project Space in Paris turns impermanence into an act of creation and disappearance into a quiet form ...

This study offers a valuable advance for neuroscience by extending a visualization tool that enables intuitive assessment of how dendritic and synaptic currents shape the output of neurons. The ...

System reliability and safety are paramount across industries such as semiconductors, energy, automotive, and steel, where ...

When researchers look for potential cancer therapy targets, they typically go after protein-coding genes that participate in ...

The study presents important insights into the regulation of muscle hypertrophy, regulated by Muscle Ankyrin Repeat Proteins (MARPs) and mTOR. The methods are overall solid and complementary, with ...