The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

THURSDAY, Oct. 16, 2025 (HealthDay News) -- Artificial intelligence can help predict which children in the emergency department will develop sepsis within 48 hours, according to a study published ...

Analysts expect Dollar Tree to report second-quarter revenue of $4.48 billion, down from $7.38 billion in last year's second quarter, according to data from Benzinga Pro. This marks the first ...

Please provide your email address to receive an email when new articles are posted on . Familial hypercholesterolemia is underdiagnosed and undertreated. A novel machine learning algorithm identified ...

This study explores the potential of nano-graphene particles for the sustainable manufacturing of concrete. The primary goal is to predict the compressive strength of graphene-incorporated concrete by ...

MOUNT PLEASANT — In a place that lost 22 percent of its canopy from natural disasters and development between 1992 and 2016, more than any other municipality in Charleston County within that time ...

Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to improve the speed and accuracy to measure how much carbon is retained and ...

ABSTRACT: Background: Treatment-resistant depression (TRD) poses significant clinical challenges, with many patients inadequately responding to augmentation strategies like aripiprazole. Pramipexole, ...

Hamdi Zurqani is an assistant professor of geospatial science for the Arkansas Forest Resources Center and the College of Forestry, Agriculture and Natural Resources at the University of Arkansas at ...