If you’ve ever had trouble deciding between two options—whether it’s pizza or sushi for dinner, or whether to watch a comedy ...

By Vijay Kumar Malesu Cranberry-based beverage offers a new path to smoother, more resilient skin by boosting elasticity and ...

Also, secondary data needs to be integrated in data analysis in a logical and unbiased manner. Let’s take another example. You are writing a dissertation exploring the impacts of foreign direct ...

By analyzing the characteristics of always-on information-leakage HTs, we propose CA4TJ, a corresponding quantifying metric to evaluate the correlation between sensitive information and the leaked ...

Back in 1934, Ralph Nelson Elliott discovered that price action displayed on charts, instead of behaving in a somewhat chaotic manner, had actually an intrinsic narrative attached. Elliot saw the ...

We have upgraded the GCI, and created the GDI – the Global Digitalization Index. The GDI measures the maturity of a country's ...

A correlation coefficient is used in statistics to describe a pattern or relationship between two variables. A negative correlation describes the extent to which two variables move in opposite ...

By Vijay Kumar Malesu In-depth analysis uncovers north-south oscillations in COVID-19 cases, revealing how regional waves ...

In the DDM, noisy evidence is accumulated into a decision variable until reaching one of the two bounds, representing commitment to one of two choices (e.g., left or right). In general, the average ...

The correlation coefficient is one of the most important concepts in statistical analysis, and it’s one that can be highly useful to investors. Image source: The Motley Fool You’ve probably ...

BackgroundIdiopathic pulmonary fibrosis (IPF) is a chronic progressive interstitial lung disease characterized by unexplained ...