This is an important contribution that largely confirms prior evidence that word recognition - a cornerstone of development - improves across early childhood and is related to vocabulary growth. This ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

The internet has changed everything from ordering dinner to watching movies, and it has changed how we gamble too. You used to need to drive to a casino, but ...

A courseware module that covers the fundamental concepts in probability theory and their implications in data science. Topics include probability, random variables, and Bayes' Theorem.

Soil analyses; spatial prediction; proximal sensor. On the other hand, carrying out laboratory tests in a large number of samples requires more time and financial resources, as well as chemical ...

A 21-year-old straphanger was stabbed multiple times with a metal knuckle knife in a random subway attack in the Bronx early Friday, police sources said. The frenzy unfolded as the perp was going ...

Background The pathogenesis of multiple sclerosis (MS) requires both genetic factors and environmental events. The question remains, however, whether these factors and events completely describe the ...

Many types of economic problems require that we consider two variables at the same time. A typical example is the relation between price of a commodity and the demand or supply of that commodity. The ...

Q: I read the “Override and selective control” article you wrote in 2017. I just have a couple of questions about the low-select control you and Simon Lucchini described when discussing override and ...

Correlation is a statistical measure that represents the strength and direction of the relationship between two variables. When analyzing data, it’s often useful to determine if a connection exists ...