Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

Abstract: A key challenge of 3-D seismic horizon tracking lies in effectively utilizing the appropriate seismic attributes to enhance tracking precision. Numerous existing horizon tracking methods ...

Two people won $50,000, and one person won $1 million during Saturday night’s Powerball drawing. The winning numbers were 4, 5, 28, 52, and 69. The Powerball was 20. The $1 million winner had five of ...

Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...

Abstract: Researchers have devoted great efforts to image dehazing with prior assumptions in the past decade. Recently developed example-based approaches typically lack elegant models for the hazy ...

The implementation for remote data sources sends multiple requests to update the order index of every dropped row. If your back-end supports batch updates, you can simultaneously send all data updates ...