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

The rushed and uneven rollout of A.I. has created a fog in which it is tempting to conclude that there is nothing to see here ...

This important study presents a thoughtful design and characterization of chimeric influenza hemagglutinin (HA) head domains combining elements of distinct receptor-binding sites. The results provide ...

Data scientists are in high demand—and for good reason. Companies rely on them to turn large, messy datasets into insights ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

The role of megafaunal exploitation in early human evolution remains debated. Occasional use of large carcasses by early hominins has been considered by some as opportunistic, possibly a fallback ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

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

Traditionally, the term “braindump” referred to someone taking an exam, memorizing the questions, and sharing them online for others to use. That practice is unethical and violates the ISC2 ...

Accurate and reliable analytical data is essential for effective decision making in today’s competitive industrial landscape, especially in the condition monitoring arena, which focuses on predictive ...

Objectives There is a lack of knowledge about whether occupational exposures increase the risk of emphysema, especially in ...

Many companies justify complacency as risk aversion. The best leaders cultivate healthy paranoia to spot shifting ground, and ...