StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...

New guidelines recommend testing for primary aldosteronism (PA) in all people with hypertension. Interpreting population-based results for PA will require understanding the influence of demographic ...

Christine E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, FL, USA. Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional ...

Crop breeding is one of the main approaches to increase crop yield and improve crop quality. However, the breeding process faces challenges such as complex data, difficulties in data acquisition, and ...

Machine Learning,Internet Of Things,Learning Algorithms,Support Vector Machine,Artificial Neural Network,Attack Scenarios,Denial Of Service,F1 Score,Gradient Boosting,Internet Of Things ...

The frame of corn harvester is prone to vibration bending and torsional deformation due to the vibration caused by field road bumps and fluctuations. It poses a serious challenge to the reliability of ...

Background Current clinical rating scales in frontotemporal dementia (FTD) often do not incorporate neuropsychiatric features and may therefore inadequately measure disease stage. Methods 832 ...

Column Vector,Convergence Rate,Distributed Algorithm,Wireless,Actions Of Players,Communication Graph,Communication Network,Communication Protocol,Decision Variables ...

The promise of precision population health includes the ability to use robust patient data to tailor prevention and care to specific groups. Advanced analytics may allow for automated detection of ...