India, April 7 -- Dentists spend long hours under focused LED and blue light sources, often without eye protection. This ...

Objective Women of reproductive age (WRA) in low-income and middle-income countries (LMICs) bear a disproportionate burden of ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

Objectives Rock climbing’s growing popularity has been accompanied by increasing reports of hand, finger and wrist injuries ...

Strategic avoidance of uncertainty emerges under high cognitive demands, enabling faster decisions without impairing learning.

Introduction Diabetes distress is a common health problem among people living with type 2 diabetes (T2D), making it difficult to manage the condition. Though it remains a problem, limited attention ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

PROTECTING THE U.S. ECONOMY AND NATIONAL INTERESTS: Today, President Donald J. Trump signed a Proclamation imposing a temporary import duty to address fundamental international payments problems and ...

California’s plan to hit its richest residents with a one-off wealth tax is a long shot, and its design has problems. But a look at who picks up the tab when billionaires scrimp on taxes, and how ...

Abstract: Logistic regression is one of the frequently used models in pattern recognition, especially in binary classification tasks. We focus on a class of small-sample classification problems where ...

Abstract: Outsourcing logistic regression classification services to the cloud is highly beneficial for streaming data. However, it raises critical privacy concerns for the input data and the training ...