Extropy has emerged as a pivotal measure in the quantification of uncertainty, serving as a complementary counterpart to the traditional concept of entropy. Unlike entropy, which is widely used to ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

Responding to complaints from growers and handlers over their accuracy, the Almond Board of California has decided to stop ...

India’s economy grew at its fastest pace in six quarters in Q2 FY26, inflation stayed below tolerance, fiscal metrics ...

AI ran 10,000 XRP price simulations for 2026. Base range: $1.04-$3.40 (60% probability). Best case: $6+. Worst case: below $0 ...

Here's an interesting fact: companies that rely on data to make their decisions are more likely to achieve better results.

Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Discover how longitudinal data helps analyze financial trends, business risks, and economic changes with repeated observations of the same subjects over time.