An eruption forecast is a probabilistic assessment of the likelihood and timing of volcanic activity. The forecast may also include information about the expected style of activity (Section 1.6), the ...

The objective of this study was to evaluate the physiological quality of seeds from early and late maturing Coffea canephora clones, aiming to identify the ideal harvest time. The fruits were ...

aDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA bDepartment of Earth and Planetary Sciences, Johns Hopkins University, ...

Several probabilistic forecast methods for heatwave (HW) in extended-range scales over China are constructed using four models (ECMWF, CMA, UKMO, and NCEP) from the Subseasonal-to-Seasonal (S2S) ...

A file photo of pooled rainwater as icebergs float in Ilulissat, Greenland. 2021 will mark one of the biggest ice melt years for Greenland in recorded history. (Mario Tama/Getty Images) Last month, ...

The question of how humans have influenced individual extreme weather events is both scientifically and socially important. However, deficiencies in climate models’ representations of key mechanisms ...

Recent literature has highlighted how citizen science approaches can engage volunteers, expand scientific literacy, and accomplish targeted research objectives. However, there is limited information ...

Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK In this Personal View, we discuss the history and concept of self-disturbance in relation to the ...

The dramatic success in machine learning has led to an explosion of artificial intelligence (AI) applications and increasing expectations for autonomous systems that exhibit human-level intelligence.

Extracting the temporal structure of sequences of events is crucial for perception, decision-making, and language processing. Here, we investigate the mechanisms by which the brain acquires knowledge ...