Devdiscourse

Stacked AI model improves credit default forecasting

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
eLife

Amino acid homorepeats act as buffers to maintain proteostasis and constrain the compatible sequence space of proteomes

This important study analyzed the impact of amino acid homorepeats on protein expression and solubility in yeast and E. coli. The authors provided convincing evidence that hydrophobic and positively ...
IEEE

Actor–Critic Model Predictive Control: Differentiable Optimization Meets Reinforcement Learning for Agile Flight

Abstract: A key open challenge in agile quadrotor flight is how to combine the flexibility and task-level generality of model-free reinforcement learning (RL) with the structure and online replanning ...
eLife

Pupil size reveals the perceptual quality and effortless nature of synesthesia

This study used pupillometry to provide an objective assessment of a form of synesthesia in which people see additional color when reading numbers. It provides convincing evidence that subjective ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
IEEE

Model-Free Predictive Control for Harmonic Suppression of PMSMs Based on Adaptive Resonant Controller

Abstract: To simultaneously suppress the periodic and aperiodic disturbances experienced by permanent magnet synchronous motors in model predictive control, a model-free predictive current control ...