This study proposes a potentially useful improvement on a popular fMRI method for quantifying representational similarity in brain measurements by focusing on representational strength at the single ...

Objective We performed a systematic review, meta-analysis and meta-regression to determine if ... study arms (as opposed being limited to MDs between groups in a meta-regression) linear and segmental ...

In this sense, due to the search for methods to obtain soils information in rapid and economical ways, the objectives of this work were: (i) to predict results of laboratory analysis through ...

Multiple linear regression analysis (Table 4) identified age, educational status, and duration of diabetes as factors associated with knowledge of diabetic retinopathy. Accordingly, participants who ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the ...

Complete Explanation A logarithm is the power which a certain number is raised to get another number. Before calculators and ...

Background Current treatments with tyrosine kinase inhibitors and immune checkpoint inhibitors have limited efficacy for ...

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical ...

This article originally appeared on PolitiFact. President Donald Trump recently allowed 59 white Afrikaner farmers to resettle in the U.S. as refugees, saying they are losing their land in South ...