A People Analytics study analyzing 205 tech professionals found that early employee attrition is driven more by stalled career momentum than workplace culture. Promotions, internal mobility, and ...

Researchers at the University of Glasgow have developed a new way to test networks, which they claim is 25,000 times faster than traditional approaches. Shenjia Ding, a research student at the ...

Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, extending the prior DAAE framework beyond static baseline risk. Registry ...

Her movements were tracked, over and over. When she sat down. When she ordered a drink. When she went to the bathroom. When she took the elevator. Nina Richards went to New York Knicks games quite a ...

Ionized gas plasma contained inside a tokamak reactor is the engine that drives nuclear fusion, a potential source of green energy Off-normal events in the plasma are a substantial impediment to the ...

Accurate reconstruction of paleo-ocean depths is essential for understanding the interplay between tectonic evolution and global climate change, yet existing methods face substantial limitations. Here ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Jaya Jaya Maju, a multinational company operating since 2000 with more than 1,000 employees, is currently facing significant challenges in human resource management. The main issue is the increasing ...

Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...

EXtreme Gradient Boosting (XGBoost), a machine learning model, outperformed more traditional methods for predicting composite major adverse events (MAEs) and many individual events in patients ...