Objectives To examine the association between exposure to greenness and hospital admissions for mental disorders, and to ...

I created a kicker score to summarize both the season’s actual and predicted values into a single number. Each field goal made is worth one, and attempts are negatively weighted based on distance and ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

The technology works like a translator, not a mind reader – It converts brain scan patterns into coherent sentences by ...

Medicare Advantage plans that place greater restrictions on home health agency care delivery may have more adverse patient outcomes than plans that provide episodic payments.

Efficient, predictable enforcement of the Hague-Visby Rules is critical to Tanzania’s competitiveness in global supply chains, yet circumstantial evidence suggests systematic delays and uncertainty.

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet of Things, 15, 87-95. doi: 10.4236/ait.2025.154005 .

FROM 27th September–1st October 2025, Amsterdam, the Netherlands, welcomed over 22,000 respiratory professionals to the ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Participants were presented with polyphonic music made of two monophonic streams (PolyOrig condition), with control stimuli where the average pi ...

Background/Aims The neuroprotective effect of nicotinamide (NAM) supplementation has been demonstrated in both animal models ...

Background To assess subfoveal choroidal thickness (SFCT) and its associations in school children in a Russian population. Methods The Ural Children Eye Study (UCES), a school-based case-control study ...