EurekAlert!

Linking leaf traits to light: A new framework for predicting canopy optical behavior

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
Devdiscourse

AI can improve planning for climate-driven flood risks

From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...
BMJ Open

Epidemiological characteristics of major respiratory infectious diseases in Baiyin, China, from 2014 to 2023: a descriptive epidemiological study

Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...
The New Yorker

What Mutual Aid Can Do During a Pandemic

We are not accustomed to destruction looking, at first, like emptiness. The coronavirus pandemic is disorienting in part because it defies our normal cause-and-effect shortcuts to understanding the ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Scientific Research Publishing

Random Coefficient Modelling of the Global Effect of Exchange and Monetary Policy Rates on Inflation (2) ()

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...