This paper would be of interest to researchers studying cognitive control and adaptive behavior, if the concerns raised in the reviews can be addressed satisfactorily. Understanding how task knowledge ...

The growing volume and complexity of omics data have created a need for standardized and user-friendly analysis approaches. Workshops and sessions on R-based data processing have become highly ...

Kalshi, the federally regulated prediction market exchange backed by Donald Trump Jr., has partnered with Pyth Network to ...

What if corruption could lead to revealing the truth? Prediction markets create a strange world where bad behavior can reveal ...

Prediction markets are flashing warning signs that a U.S. government shutdown is far from a distant prospect. Data from markets suggest there is now roughly a 66% probability of a shutdown this year.

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

Kalshi is pulling ahead in the prediction market race, capturing a dominant share of trading volume even as competitors like Polymarket push into regulated U.S. territory. From Sept. 11 to 17, Kalshi ...

In February 2024, a shipwreck off Tobago caused a significant surface oil spill, highlighting the need for accurate modeling ...

Zandi shared this concerning forecast on X, citing Moody’s newly unveiled leading economic indicator, which is derived from a machine learning algorithm. While historically such high probabilities ...