Bivariate Analysis | Topics

Risk of renewable power fluctuations made predictable

Researchers developed a physics-based framework to predict power fluctuations from renewables, enabling grid operators to mitigate surges and blackouts. The model correlates atmospheric turbulence with electricity output, allowing for accurate risk assessments of existing turbines and farms.

SourceOkinawa Institute of Science and Technology (OIST) Graduate University·JournalPRX Energy·TypeData/statistical analysis·DateMay 28, 2026

Researchers propose a more effective method to predict floods

A team of researchers from Xi'an Jiaotong-Liverpool University and other institutions has identified a flexible and user-friendly model for predicting flood frequency in a changing environment. The fractional polynomial-based regression method is more effective than existing models, which often fail to account for factors like climate ...

SourceXi'an Jiaotong-Liverpool University·JournalJournal of Hydrology·TypeComputational simulation/modeling·DateJan 9, 2023

ARRS Annual Meeting: COVID-19 Impact on Lung Cancer Screening in the Bronx

A recent study presented at the 2022 ARRS Annual Meeting found that COVID-19 infection significantly impacted lung cancer screening in diverse inner-city populations. The research revealed that approximately 9% of participants developed COVID-19 during the pandemic, with mortality rates reaching 6.9%.

SourceAmerican Roentgen Ray Society·DateMay 1, 2022