Learn how acceptance sampling improves quality control by evaluating random samples. Discover its methods, benefits, and historical significance in manufacturing.
Why the challenge of truly representative democracy is so complex. Moon Duchin, who leads the University of Chicago’s Data and Democracy Research Initiative, explores how math can help solve ...
Abstract: Randomization PWM parameters in power converters originates a spreading of the emission spectrum, achieving a reduction in the amplitudes of the strong electromagnetic emission peaks ...
There are many methods available to fit random-effects meta-analysis. However, until 2024, the only option available in RevMan has been the DerSimonian and Laird random-effects method. This method is ...
Researchers at Columbia University Mailman School of Public Health have developed a novel computational pipeline designed to identify protein biomarkers associated with complex diseases, including ...
Using MR-SPI and AlphaFold3, scientists unravel the molecular underpinnings of Alzheimer’s disease, identifying key protein changes that could reshape future treatments. Study: Deciphering proteins in ...
Abstract: Knowledge transfer in multi-agent reinforcement learning (MARL) is crucial for improving learning efficiency and performance in various cooperative tasks. However, the large exploration ...
ABSTRACT: Purpose: The role of GPER in sepsis-induced myocardial cell injury and its potential impact on the risk of death within 28 days in sepsis. Methods: An in vitro experiment was conducted to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback